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Investigating the Mechanisms of Idiosyncratic Drug Reactions: Lessons from Nevirapine-induced Skin Rash in Female Brown Norway Rats by Xin Chen A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Graduate Department of Pharmaceutical Sciences University of Toronto © Copyright by Xin Chen 2014

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Page 1: Investigating the Mechanisms of Idiosyncratic Drug ... · understood. This work used nevirapine-induced skin rash in female Brown Norway rats as a model to investigate the mechanisms

Investigating the Mechanisms of Idiosyncratic Drug Reactions: Lessons from Nevirapine-induced Skin Rash in

Female Brown Norway Rats

by

Xin Chen

A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy

Graduate Department of Pharmaceutical Sciences University of Toronto

© Copyright by Xin Chen 2014

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Investigating the Mechanisms of Idiosyncratic Drug Reactions:

Lessons from Nevirapine-induced Skin Rash in Female Brown

Norway Rats

Xin Chen

Doctor of Philosophy

Graduate Department of Pharmaceutical Sciences

University of Toronto

2014

ABSTRACT

Idiosyncratic drug reactions (IDRs) cause significant morbidity and mortality. At present it is

impossible to predict who will have such reactions because the mechanisms involved are not

understood. This work used nevirapine-induced skin rash in female Brown Norway rats as a

model to investigate the mechanisms of IDRs. Specifically, we hypothesized that CD4+ T cells

are mediating the rash, and the reactive sulfate metabolite of nevirapine induced the immune

response by directly activating antigen presenting cells (APCs).

Independent of which chemical species induced the rash (treatment with nevirapine or 12-OH-

nevirapine), CD4+ T cells isolated from the lymph nodes of animals responded vigorously to the

parent drug, but not to 12-OH-nevirapine even though oxidation of nevirapine to 12-OH-

nevirapine pathway is required to induce the rash. This falsifies the basis for the PI hypothesis,

which assumes that what the lymphocytes respond to is what induced the IDR.

In the APC activation study it was found that nevirapine, 12-OH-nevirapine, and 12-OH-

nevirapine sulfate all appeared to activate APCs to some degree. For instance, CD40 was

upregulated in RAW264.7 cells and bone marrow-derived dendritic cells, while CD86 was

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upregulated in THP-1 cells. However, the effects were small and not limited to the reactive

sulfate.

Several interventions were also used to modulate the rash caused by nevirapine to learn more

about possible risk factors; however, no results showed that any of them had a significant effect

on the rash. This included depleting B cells and treatment with buthionine sulfoximine, retinoic

acid, 1-methyl-tryptophan, lipopolysaccharide, imiquimod, or vitamin D.

This animal model of an IDR allowed us to test mechanistic hypotheses that would be impossible

to test by any other method. It provided insights into the mechanism of this IDR, and by

extension, into the mechanisms of other IDRs.

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ACKNOWLEDGMENTS

I will never forget that sunny day in February 2007 when I visited Toronto for the first time and

met eight supervisors in this top University to decide where I want to spend my next five years of

time. Jack was the last one I interviewed with. He greeted me warmly with a father’s big smile

and asked a question no one else ever cared: “Where are you gonna be in ten years from now?” I

didn’t get it the first time. He repeated and elaborated: “Describe where you will be and what

you will be doing.” I clearly remembered my answer: “Working in a Pharma, and I don’t mind

going to other countries.” He then started to talk about his education, his career path, and a lot of

other things that are not very relevant to sciences, for at least 30 minutes or so. I went back to

the hotel and said to myself: “This is an interesting and challenging person. Most importantly,

he looks like the Santa Claus!”

It has been 6 and a half years now since I joined Jack’s lab and time proved that my decision was

right. Throughout my Ph.D, Jack has provided tremendous help and guided me to become an

independent scientific investigator and a critical thinker, which have made me stand out from

most other people starting my day one in industry. He is probably thanked a million times for his

achievement in science and academic training, but I would like to say, it is the non-scientific part

that I learned from him will benefit me the rest of my life. He is like a father to us, strict but with

love, fair and reasonable to everyone. I truly appreciate what Jack has taught me and thank him

for being such a great mentor and role model.

Along with great science and great supervisor, there is always a great team or you could call it a

family. I sincerely thank all my lab mates for the great moments and conversations during my

Ph.D - we shared our happiness and frustration throughout the graduate life. Special thanks to

my big “brothers” Robert, Ervin, Ping and Feng, for their consistent support and inspiration for

both better science and personal life. Great thanks to Connie for the amazing food and receipts,

and Max for the fun time - he is way too adorable.

I also want to thank my friends outside the lab who supported me during my “heartbroken” and

“backbroken” times: Hui Wang, Carl Song, Yanan Chu, Jing Jing, Yanrong Shi. They made me

stronger.

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Lastly, thanks to my uncle’s family, my parents, and my fiancé Kenny Liao for their generous

love. I love them.

This research was conducted in the spirit of the following (quotes from Jack):

“Good research always leads to more questions.”

“It is better to get embarrassed early than late.”

“The only reason I know more than you do is because I made more mistakes.”

“It is very important to publish negative results so others know what is not working!”

“You have to be open-minded!”

The same applies to life.

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TABLE OF CONTENTS

ABSTRACT ................................................................................................................................... ii

ACKNOWLEDGMENTS ........................................................................................................... iv

TABLE OF CONTENTS ............................................................................................................ vi

LIST OF PUBLICATIONS ........................................................................................................ ix

LIST OF ABBREVIATIONS ...................................................................................................... x

LIST OF TABLES ...................................................................................................................... xii

LIST OF FIGURES ................................................................................................................... xiii

LIST OF APPENDICES .......................................................................................................... xvii

CHAPTER 1 .................................................................................................................................. 1

INTRODUCTION ......................................................................................................................... 1

1.1. Overview of Adverse Drug Reactions ................................................................................ 2

1.2. Idiosyncratic Drug Reactions .............................................................................................. 5

1.2.1. Clinical Manifestations .................................................................................................... 5

1.2.2. Risk Factors ...................................................................................................................... 6

1.3. Hypotheses of Mechanisms of IDRs ................................................................................... 6

1.3.1. Hapten Hypothesis ........................................................................................................... 7

1.3.2. Danger Hypothesis ......................................................................................................... 10

1.3.3. Pharmacological Interaction (PI) Hypothesis ................................................................ 13

1.4. Animal Models .................................................................................................................. 15

1.4.1. NVP-induced Skin Rash in Female BN Rats ................................................................. 15

1.4.2. D-penicillamine-Induced Autoimmune Diseases .......................................................... 20

1.5. Investigating the Mechanisms of IDRs ............................................................................. 22

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1.5.1. Detection of Reactive Intermediate Formation and Covalent Binding .......................... 22

1.5.2. T Cell Based Assays....................................................................................................... 23

1.5.3. Co-administration Studies .............................................................................................. 25

1.5.4. Pharmacogenetics in Clinical Research ......................................................................... 25

1.6. Rationale of the Present Studies ....................................................................................... 26

CHAPTER 2 ................................................................................................................................ 27

A STUDY OF THE SPECIFICITY OF LYMPHOCYTES IN NEVIRAPINE-

INDUCED SKIN RASH ........................................................................................................ 27

2.1. ABSTRACT ...................................................................................................................... 28

2.2. INTRODUCTION ............................................................................................................ 29

2.3. METHODS ....................................................................................................................... 31

2.4. RESULTS ......................................................................................................................... 35

2.5. DISCUSSION ................................................................................................................... 44

CHAPTER 3 ................................................................................................................................ 46

INDUCING SKIN RASH IN FEMALE BN RATS BY TOPICAL TREATMENT OF

NVP AND/OR 12-OH-NVP ................................................................................................... 46

3.1. INTRODUCTION ............................................................................................................ 47

3.1.1. Topical Treatment of NVP on Sensitized Animals ........................................................ 47

3.1.2. Attempts to Induce a Skin Rash in Naïve Rats by Topical Treatment with 12-OH-

NVP ................................................................................................................................... 48

3.2. MATERIALS AND METHODS ...................................................................................... 50

3.3. RESULTS ......................................................................................................................... 51

3.4. DISCUSSION ................................................................................................................... 55

CHAPTER 4 ................................................................................................................................ 57

FACTORS THAT MAY INFLUENCE THE INCIDENCE AND SEVERITY OF NVP-

INDUCED SKIN RASH IN FEMALE BN RATS .............................................................. 57

4.1. INTRODUCTION ............................................................................................................ 58

4.2. MATERIALS AND METHODS ...................................................................................... 61

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4.3. RESULTS ......................................................................................................................... 69

4.4. DISCUSSION ................................................................................................................... 85

CHAPTER 5 ................................................................................................................................ 89

POTENTIAL ACTIVATION OF ANTIGEN PRESENTING CELLS BY NVP

AND/OR ITS METABOLITES ............................................................................................ 89

5.1. INTRODUCTION ............................................................................................................ 90

5.2. MATERIALS AND METHODS ...................................................................................... 91

5.3. RESULTS ......................................................................................................................... 97

5.4. DISCUSSION ................................................................................................................. 119

5.5. CONCLUSION ............................................................................................................... 122

CHAPTER 6 .............................................................................................................................. 123

CONCLUSIONS AND FUTURE DIRECTIONS .................................................................. 123

6.1. Summary ......................................................................................................................... 124

6.2. Implications and Future Directions ................................................................................. 126

REFERENCES .......................................................................................................................... 129

APPENDIX ................................................................................................................................ 140

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LIST OF PUBLICATIONS

1. Metushi, I. G., X. Zhu, et al. (2014). "Mild Isoniazid-Induced Liver Injury in Humans Is

Associated with an Increase in Th17 Cells and T Cells Producing IL-10." Chem Res Toxicol.

27(4): 683-689.

2. Ng, W., A. R. Lobach, et al. (2012). "Animal models of idiosyncratic drug reactions." Adv

Pharmacol 63: 81-135.

3. Zhang, X., F. Liu, et al. (2011). "Involvement of the immune system in idiosyncratic drug

reactions." Drug Metab Pharmacokinet 26(1): 47-59.

4. Chen, X., T. Tharmanathan, et al. (2009). "A study of the specificity of lymphocytes in

nevirapine-induced skin rash." J Pharmacol Exp Ther 331(3): 836-841.

5. Dugoua, J. J., M. Machado, et al. (2009). "Probiotic safety in pregnancy: a systematic review

and meta-analysis of randomized controlled trials of Lactobacillus, Bifidobacterium, and

Saccharomyces spp." J Obstet Gynaecol Can 31(6): 542-552.

6. Chen, X and J. Uetrecht. Factors that may influence the incidence and severity of

nevirapine-induced skin rash in female Brown Norway rats. In preparation.

7. Chen, X and J. Uetrecht. Potential activation of antigen presenting cells by nevirapine and/or

its metabolites. In preparation.

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LIST OF ABBREVIATIONS

2-ME β-mercaptoethanol

ADR Adverse Drug Reaction

ALN Auricular Lymph Nodes

APC Antigen Presenting cell

AUC Area Under the Curve

BCA Bicinchoninic Acid

BMDC Bone Marrow-Derived Dendritic Cell

BN Brown Norway

BSO Buthionine Sulfoximine

CD Cluster of Differentiation

CFSE Carboxyfluorescein Succinimidyl Ester

CO2 Carbon Dioxide

CYP Cytochrome P450

DAPK1 Death-associated Protein Kinase 1

DC Dendritic Cell

DMEM Dulbecco's Modification of Eagle's Medium

DMSO Dimethyl Sulfoxide

ECL Enhanced Chemiluminescence

EDTA Ethylenediaminetetraacetic Acid

ELISA Enzyme-linked Immunosorbent Assay

ELISPOT Enzyme-linked Immunosorbent Spot

FBS Fetal Bovine Serum

FcγII Fc gamma receptor II

FITC Fluorescein Isothiocyanate

FOXP3 Forkhead Box P3

G-CSF Granulocyte Colony-stimulating Factor

GM-CSF Granulocyte Macrophage Colony-stimulating Factor

GRO-KC Growth-related oncogene

H & E Hematoxylin and Eosin

HEPES 4-(2-Hydroxyethyl)piperazine-1-ethanesulfonic Acid

HIV Human Immunodeficiency Virus

HLA Human Leukocyte Antigen

HMGB1 High Mobility Group Box 1

HPLC High-performance Liquid Chromatography

HSPs Heat Shock Proteins

IgG Immunoglobulin G

LC/MS Liquid chromatography–mass spectrometry

IDO Indoleamine Dioxygenase

IDR Idiosyncratic Drug Reaction

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IFN Interferon

IgE Immunoglobulin E

IL Interleukin

IP-10 Interferon gamma-induced Protein 10

IU International Unit

LPS Lipopolysaccharide

LTT Lymphocyte Transformation Test

MFI Mean Fluorescence Intensity

MCP-1 Monocyte Chemoattractant Protein 1

MHC Major Histocompatibility Complex

MIP-1 Macrophage Inflammatory Protein 1

NNRTI Nonnucleoside Reverse Transcriptase Inhibitor

NOD Nucleotide-binding Oligomerization Domain

NLRs Nucleotide-binding Oligomerization Domain Receptors (NOD-like receptors)

NVP Nevirapine

OD Optical Density

PBMC Peripheral Blood Mononuclear Cell

PBS Phosphate-buffered Saline

PE Phycoerythrin

PE-Cy7 R-Phycoerythrin-Cyanine Dye 7

PerCP Peridinin Chlorophyll Protein Complex

PI Pharmacological Interaction

PMA Phorbol Myristate Acetate

Poly I:C Polyinosinic: polycytidylic acid

RA Retinoic Acid

RANTES Regulated on Activation, Normal T cell Expressed and Secreted

RPMI Roswell Park Memorial Institute

SDS-PAGE Sodium Dodecyl Sulfate Polyacrylamide Gel Electrophoresis

SMX Sulfamethoxazole

TBST Tris-buffered Saline Tween-20

TCR T Cell Receptor

Th T Helper (cells)

TLR Toll Like Receptor

TNF Tumor Necrosis Factor

Treg Regulatory T (cells)

TRIM63 Tripartite Motif Containing 63

VEGF Vascular Endothelial Growth Factor

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LIST OF TABLES

Table 1. Classification of adverse drug reactions. ......................................................................... 4

Table 2. Similar characteristics of NVP-induced skin rash in humans and female BN rats. ....... 17

Table 3. Percentage of cell types before and after the depletion of lymphocyte subsets with

magnetic beads. ............................................................................................................................. 43

Table 4. Design of NVP and anti-mouse CD20 antibody†

cotreatment experiments in naïve BN

rats. ................................................................................................................................................ 66

Table 5. Design of NVP and anti-mouse CD20 antibody cotreatment experiments in

splenectomized female BN rats. ................................................................................................... 67

Table 6. Design of BSO and NVP cotreatment experiments in female BN rats. ........................ 68

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LIST OF FIGURES

Figure 1. Hapten hypothesis. .......................................................................................................... 9

Figure 2. Danger hypothesis. ....................................................................................................... 12

Figure 3. PI hypothesis. ............................................................................................................... 14

Figure 4. Structures of NVP, 12-OH-NVP, 4-Cl-NVP and 12-Cl-NVP. .................................... 30

Figure 5. IFN-γ secretion by lymphocytes in response to NVP, 12-OH-NVP, 4-Cl-NVP and 12-

Cl-NVP. ........................................................................................................................................ 37

Figure 6. IL-10 secretion by lymphocytes in response to NVP, 12-OH-NVP, 4-Cl-NVP and 12-

Cl-NVP. ........................................................................................................................................ 38

Figure 7. Frequencies of lymphocytes responding with the production of IFN-γ when stimulated

with NVP or its analogs/metabolites from NVP-rechallenged rats using an ELISPOT assay. .... 39

Figure 8. Cell proliferation in response to NVP, 12-OH-NVP and 4-Cl-NVP as determined by

the reduction of alamar blue. ........................................................................................................ 40

Figure 9. Concentration of cytokines/chemokines produced by lymphocytes from control (n=4),

primary treated (n=6), and rechallenged (n=7) animals in response to NVP as determined by a

Luminex assay. ............................................................................................................................. 41

Figure 10. Production of IFN-γ in response to NVP by lymphocytes from rechallenged rats

before and after depletion of CD4+ and/or CD8

+ T cells. ............................................................. 42

Figure 11. Proposed chemical mechanisms of NVP-induced skin rash by formation of 12-OH-

NVP sulfate in the skin. ................................................................................................................ 49

Figure 12. H&E staining of skin samples from rats rechallenged with topical NVP (2.5 mg/mL

in acetone/olive oil, 1:1/v:v) or vehicle only. ............................................................................... 52

Figure 13. H&E staining of skin samples from naïve rats treated with topical 12-OH-NVP (15

mg/kg/day in DMSO) or vehicle only. ......................................................................................... 54

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Figure 14. Percent of cells stained with CD45RA/B in peripheral blood following anti-mouse

CD20 antibody injections. ............................................................................................................ 71

Figure 15. Percent of cells stained with CD45RA/B in peripheral blood following anti-mouse

CD20 antibody injections and NVP treatment. ............................................................................. 72

Figure 16. B cell levels in the spleen, ALN, and peripheral blood on D22 of NVP treatment. .. 73

Figure 17. Spleen weight for selected groups on Day 22 of NVP treatment. .............................. 74

Figure 18. The effect of NVP treatment and anti-mouse CD20 antibody on plasma IgE levels. 75

Figure 19. Plasma levels of NVP and its metabolites in BSO-NVP co-treated or NVP-treated

female BN rats. ............................................................................................................................. 77

Figure 20. 24 hours urinary excretion of NVP and its metabolite in BSO-NVP co-treated and

NVP-treated female BN rats. ........................................................................................................ 78

Figure 21. Liver weights and glutathione levels in the liver of BSO-NVP co-treated or NVP-

treated female BN rats. ................................................................................................................. 79

Figure 22. Effect of RA on the incidence of NVP-induced skin rash. ......................................... 81

Figure 23. Effect of RA on plasma levels of NVP and its metabolites. ...................................... 82

Figure 24. NVP and 12-OH-NVP plasma concentrations in animals that received RA (20

mg/k/day in oil, gavage) and an escalating dose of NVP (started from 15 mg/kg/day and

escalated to 175 mg/kg/day). ........................................................................................................ 83

Figure 25. Plasma concentrations of cytokines/chemokines during a 21-days treatment course

with NVP or RA-NVP determined by a Luminex assay. ............................................................. 84

Figure 26. Expression of CD40 on RAW 264.7 cells after a 24 hours stimulation with 12-OH-

NVP sulfate. .................................................................................................................................. 98

Figure 27. Expression of CD40 on RAW264.7 cells in response to various concentrations of

NVP, 12-OH-NVP, or its sulfate metabolite expressed in two different ways. ............................ 99

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Figure 28. Precent CD40 positive cells in “aging” RAW264.7 cells. ....................................... 100

Figure 29. Representative dot plots and histograms of surface marker staining of THP-1 cells

stimulated by various substances. ............................................................................................... 102

Figure 30. Change in cell surface marker expression on THP-1 cells in response to NVP or its

metabolites. ................................................................................................................................. 103

Figure 31. Phenotype of bone marrow-derived cells. ................................................................ 105

Figure 32. Representative dot plots and histograms of surface marker staining on BMDCs

stimulated by various substances. ............................................................................................... 106

Figure 33. Change in cell surface marker expression on BDMCs in response to NVP or its

metabolites. ................................................................................................................................. 107

Figure 34. Cytokine production by drug-stimulated BMDCs at the end of a 24 hour incubation.

..................................................................................................................................................... 108

Figure 35. Covalent binding of DMSO, NVP, 12-OH-NVP, and its sulfate to BMDCs after a 24

or 72 hour incubation. ................................................................................................................. 109

Figure 36. Change in cell surface marker expression on BMDCs in response to D-penicillamine

or isoniazid. ................................................................................................................................. 111

Figure 37. Change in cell surface marker expression on RAW264.7 cells in response to D-

penicillamine or isoniazid. .......................................................................................................... 112

Figure 38. Phenotype of CD4+CD25

- cells isolated from the spleen and ALNs of naïve female

BN rats using magnetic beads and column. ................................................................................ 114

Figure 39. Proliferation of αβ-TCR+ cells measured by CFSE staining. ................................... 115

Figure 40. Chromatographs of (A) 12-OH-NVP sulfate and (B) 12-OH-NVP after a 24 hour

incubation with immature BMDCs generated from naïve female BN rats. ................................ 117

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Figure 41. Quantification of 12-OH-NVP sulfate in cell culture medium in the presence or

absence of BDMCs over time. .................................................................................................... 118

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LIST OF APPENDICES

Appendix 1. Supplemental Data of APC activation by 12-OH-NVP sulfate. ........................... 140

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CHAPTER 1

INTRODUCTION

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1.1. Overview of Adverse Drug Reactions

Primum non nocere

(‘First, do no harm’)

Hippocrates (460-370 BC)

It is a Latin phrase that means “first, do no harm”, a long-held principle in medicine, which

unfortunately has never been achieved. As old as Medicine itself, adverse drug reactions

(ADRs) unfortunately have been one of the many ways that a patient can come to harm through

the practice of medicine. The World Health Organization defines ADRs as “harmful, unintended

reactions to medicines that occur at doses normally used for treatment” [1].

Although many ADRs are mild, some can be very severe and sometimes even life-threatening.

They are among the leading cause of mortality and morbidity ahead of pulmonary disease,

diabetes, and AIDS etc.; they account for about 7% of hospital admissions [2, 3]. It was

estimated that in 1994 overall 2,216,000 (1,721,000-2,711,000) hospitalized patients had serious

ADRs, and 106,000 (76,000-137,000) had a fatal ADR, making these reactions between the

fourth and sixth leading cause of death in UK and US [4, 5].

ADRs also represent a huge social and economic problem. Drug-related deaths from ADRs cost

more than $136 billion a year, and 10% of drugs have been withdrawn from the market or

received a Black Box warning in the past 25 years due to unacceptable safety profiles [2, 6, 7].

They represent a great cost to society because of the longer and advanced care needed for the

affected patients. Even when occurring in a small number of people, ADRs can cause a drug to

receive a black box warning or even be withdrawn from the market. This has been a big concern

to the pharmaceutical industry given the limited numbers of new products in their pipelines.

The clinical manifestations of ADRs are complex because they can be present in different organs

and mimic other disease processes. Some ADRs are caused by inappropriate use of medications;

however, ADRs will probably never be totally eliminated because different people respond to

drugs differently [8, 9]. Although randomized controlled trials are the gold standard in testing

the efficacy and safety of new drugs, they are not very effective in detecting ADRs, mainly

because of the limited sample size and duration of the study. Compared to the highly controlled

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environment in a trial, the real clinical settings are much more dynamic and complex. The

inappropriate use of a drug may be caused by inappropriate dosage or duration of treatment,

drug-drug interactions, or interactions with the over-the-counter products and off-label use, etc.

Table 1. shows the 6-type classification of ADRs adapted from Edwards et al. and Pourpack et

al. to showcase the variety and features of different types of ADRs: A (augmented, namely an

enhanced pharmacological effect), B (bizarre or idiosyncratic, with unknown mechanisms but

most likely involving the immune system), C (chronic or time-related), D (delayed effects), E

(end-of–treatment effects), and F (failure of therapy) [10].

It is obvious that many types of ADRs are preventable and ideally should not occur. To conquer

this clinical and economic problem, many efforts have been applied jointly by regulatory

agencies, academia, and the pharmaceutical industry to study the mechanisms of ADRs and

develop post-marketing pharmacovigilance programs. However, it is also true to say that many

ADRs are uncommon and remain unpredictable, which makes it impossible to set up an effective

surveillance system or to prevent such reactions from happening. Most of the unpredictable

ADRs fall into the second category, the Type B (Bizarre) reactions, which will be the focus of

the present work.

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Table 1. Classification of adverse drug reactions.

Adapted from [10, 11].

Category Clinical Characteristics Example Solutions

Augmented

Pharmacological

Effect

Predictable

Pharmacology related

Digoxin toxicity Reduce dose

Low mortality

Bizarre Unpredictable

Uncommon

Not related to any known therapeutic effect of the drug

Penicillin hypersensitivity Discontinue

treatment

Chronic Related to the cumulative

dose Corticosteroids

Reduce dose

Delayed Occurs or becomes apparent

some time after the use of the drug

Carcinogenesis

Reproduction defects

Withdrawal Occurs soon after withdrawal

of the drug β-blocker withdrawal

Reintroduce the

drug

Failure therapy Usually caused by drug-drug

interactions Inadequate dosage of an

oral contraceptive Increase dosage

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1.2. Idiosyncratic Drug Reactions

The definitions of idiosyncratic drug reactions (IDRs) are inconsistent; here we refer to IDRs as

those ADRs that do not occur in most patients at any dose used clinically and do not involve the

known therapeutic effect of the drug [12]. IDRs accounts for 6 -10% of all ADRs and have a

typical incidence from 1/100 to 1/100000 [4, 13]. Although less common than other ADRs,

IDRs are unpredictable in nature and often life threatening. The low incidence makes IDRs

difficult to detect in clinical trials, and the unpredictable nature makes mechanistic studies on

human subjects virtually impossible, and most studies are retrospective. There are also very few

animal models for IDRs because IDRs are also idiosyncratic in animals, and only the ones that

share similar characteristics with the reactions in humans would be of value. Therefore IDRs

represent a big challenge to the pharmaceutical industry, and it is unlikely that much progress

will be made in preventing these reactions until their mechanisms are well understood.

1.2.1. Clinical Manifestations

From a broader view, IDRs can affect almost any organ with skin, liver, and blood cells being

the most common targets. Some drugs only causes one type of IDR, but many others can affect

multiple organs of the same person simultaneously, or affect different organs in different

individuals. Some drugs may cause IDRs with similar patterns; there are also some common

characteristics shared by many IDRs. However each of the reactions has its own unique

characteristics.

The most common feature of IDRs is that there is a delay between starting treatment with the

drug and the start of the symptoms, while the time to onset on rechallenge is usually shortened.

These characteristics provide evidence of an immune-mediated mechanism [14]. Depending on

the drug, the delay in onset of symptoms can vary from 1 week to a couple of years. Another

common characteristic is that the incidence of IDRs does not appear to increase with dose, and

they are often referred as “dose independent”. However, this is misleading, and no IDR is dose

independent. It is true that most patients do not experience IDRs at any dose, but this is due to

the relative narrow therapeutic windows used clinically. Given that the mechanism of the IDR

does not involve the therapeutic effects of the drug, there is no reason that the dose response

curve for the therapeutic effect and the dose response curve for the IDR should be similar.

Depending on where the dose-response curve of the IDR falls, the patients could experience an

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adverse reaction well below the therapeutic dose of the drug (IDR dose-response curve falls

below the therapeutic dose), or never experience any IDRs if the IDR dose-response curve starts

well above the therapeutic window [14].

1.2.2. Risk Factors

Many factors have been identified as risk factors for IDRs such as age, gender, viral infection,

and genetic predisposition, etc. Some of the risk factors are weak and are not true for all IDRs.

For example, women are found to be more susceptible to halothane-induced hepatitis and

clozapine-induced agranulocytosis, but not other IDRs [15, 16]. The risk of liver toxicity

induced by isoniazid is found to be higher in elderly; however, the incidence is higher in infants

when induced by valproic acid [17]. Some viral infections such as human immunodeficiency

virus (HIV) infections and herpes virus seem to be associated with an increase incidence of

IDRs, but most patients develop IDRs without being infected [18, 19]. A strong genetic

component was found for some IDRs. For example, Mallal et al in 2002 reported that 50%

human leukocyte antigen (HLA)-B*5701 patients treated with abacavir will develop an IDR. A

cost-benefit analysis involving 19 countries has shown that prospective screening of this allele

can reduce the incidence of abacavir-induced hypersensitivity. However, the cost-effectiveness

may depend on patient populations, health care settings as well as the availability of appropriate

laboratory assays in those regions [20, 21]. The association between IDRs and HLA genes, i.e.,

major histocompatibility complex, either MHC I or MHC II, also provides strong evidence that

IDRs are immune mediated.

1.3. Hypotheses of Mechanisms of IDRs

Although the mechanisms of IDRs are unclear, it is a general consensus that most are immune

mediated. There is also overwhelming circumstantial evidence for the involvement of reactive

metabolites, although some exceptions appear to exist. Despite all the efforts made to

understand the mechanism of IDRs, it is also obvious that one single mechanism does not

explain the characteristics of all IDRs. All of the hypotheses discussed below center on an

immunological mechanism, and they are not mutually exclusive. One or more might be useful in

explaining a specific reaction because IDRs are likely complex cascades of metabolic and

immunological events.

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1.3.1. Hapten Hypothesis

The concept of haptens emerged from experiments reported by Landsteiner in 1935. He showed

that small chemicals were unable to elicit an immune response unless they are chemically

reactive and bound to proteins [22]. With more advanced knowledge, the hapten hypothesis has

evolved to the following: a hapten refers to a chemically reactive compound or reactive

metabolite, which can irreversibly bind to proteins and form drug-modified protein adducts.

These adducts can be taken up by antigen presenting cells (APCs) and presented in the major

groove of the MHC molecule to T cells. The recognition of the drug-protein adduct by T cell

receptors (TCRs) is referred to as signal 1.

One example that is consistent with the hapten hypothesis is penicillin-induced allergy [23]. The

β-lactam ring of penicillin can irreversibly react with free amino and sulfhydryl groups on

proteins and form drug-protein adducts. In some patients, this will induce the production of

immunoglobulin E (IgE) antibodies against penicillin-modified proteins, which can stimulate

degranulation of mast cells and release histamine, leukotrienes, and other inflammation-

associated molecules [24]. These IgE antibodies are pathogenic and can mediate very severe

allergic reactions including anaphylaxis.

Unlike penicillin and other β-lactam class drugs, most drugs are not chemically reactive, and

therefore cannot covalently bind to proteins to form adducts. However, many drugs such as

carbamazepine and acetaminophen do form reactive metabolites, which can also act as haptens.

Both of these drugs can undergo bioactivation to form quinone metabolites, which are usually

detoxified by glutathione formation [25, 26]. When there is an imbalance between the reactive

metabolite formation and the detoxification process, the toxic metabolites will bind to other

proteins to form haptens [27, 28].

Regardless of whether the parent drug or the reactive metabolite is acting as the hapten, the

relationship between covalent binding of a drug to a protein (and the degree of binding) and the

risk for developing an IDR is vague. Recently, the β-lactam-albumin conjugates in patient

plasma samples were identified, and the profile of drug-protein adducts at specific lysine

residues with respect to dose and incubation time was determined [28]. The minimum levels of

modification associated with the stimulation of a clinically relevant drug-specific T-cell response

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were characterized using piperacillin-induced immune reactions in patients [29, 30]. This is the

first direct evidence of how protein haptenation induced T cell responses at the cellular level.

The hapten hypothesis is the mostly widely accepted theory of IDRs, and it has been well

documented for contact hypersensitivity and respiratory allergens [31]. However, not all drugs

that form reactive metabolites are associated with a significant incidence of IDRs, and it is not

clear what determines which drugs will cause IDRs. Perhaps a better understanding of the

implications of covalent binding and characterization of the proteins that are typically affected is

needed to further support this hypothesis.

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Figure 1. Hapten hypothesis.

Reactive chemicals or reactive metabolites covalently bind to a protein and form a drug-protein

adduct, which is then picked up by APCs and presented to T cells. The recognition of drug-

modified proteins by TCR that leads to an immune response is referred as signal 1.

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1.3.2. Danger Hypothesis

Before introducing the danger hypothesis, we need to briefly review the history of

immunological models in order to understand the impact this hypothesis has had on the field.

The traditional model to address the specificity of the immune system is known as the self-

nonself model that was proposed by Burnet in 1961 [32]. The key principle is that lymphocytes

surface receptors can differentiate between the self and nonself factors and only respond to the

foreigners. This theory was widely accepted for decades, although it was modified to fit with the

results of later experiments. In 1989 Janeway proposed that induction of immune response

requires a second signal, and he referred to adjuvants as the immunologist’s “dirty little secret”

[33]. The first signal is the recognition of the antigen or antigen-protein complex by TCRs (as

described in Hapten Hypothesis); and the second signal is the interaction between costimulatory

molecules on APCs and T cells, e.g., interaction between B7 molecules and cluster of

differentiation (CD) 28. Although Janeway’s theory emphasized that the induction of immune

response depends on the recognition of pathogen by APCs not T cells, both the original self-

nonself model and Janeway’s theory are based on the recognition of foreignness.

For almost a half decade, the traditional self-nonself model dominated immunology, although it

does not explain many common phenomena. For example, gut bacteria are nonself substances,

but we all tolerate them without a problem. A pregnant woman’s immune system also does not

attack its fetus. If the nonself is the major determinant of an immune response, humans would

never be able to reproduce because many of the antigens are not produced until puberty, and

therefore would not have induced tolerance in the prenatal period. The self-nonself model also

does not explain the mechanisms of autoimmune diseases where no foreign substances are

introduced.

In 1994, Polly Matzinger presented the Danger model and proposed that it is cell damage rather

than nonself that determines whether an immune response will occur [34]. Using this

framework, the tissue that is injured or under stress releases danger signals, which then activate

APCs leading to upregulation of costimulatory molecules and providing the second signal [35].

The danger hypothesis has significantly changed our perspective on what is involved in the

induction of an immune response because it can explain why a wide variety of nonself exposures

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do not trigger an immune response in the absence of significant cell damage as well as how

endogenous molecules can induce immune reactions.

The danger hypothesis also has had a big impact on our perspective of the mechanisms of IDRs.

It could also explain why not all drugs that form reactive metabolites are associated with a high

incidence of IDRs: the induction of immune-mediated IDRs may be determined by the ability of

reactive metabolites to induce danger signals rather than their ability to form haptenated proteins

[36, 37]. The danger hypothesis may also help with animal model development. If it is true, in

theory we could introduce some “danger signals” to overcome the immune tolerance, which has

been the greatest challenge to the development of animal models [38]. It is also possible that

other factors leading to cell damage, such as viral infection and surgery, may be risk factors for

IDRs [39].

As a follow up on the original hypothesis, many efforts have been made to answer two questions:

1) what is the identity of danger signals; 2) what is the link between production of danger signals

and the risk of inducing an immune response such as IDRs. Researchers have suggested that

hydrophobic biological molecules and stress-induced molecules from damaged cells such as high

mobility group box 1 (HMGB1), heat shock proteins (HSPs), and S100 proteins are good

candidates to be danger signals [40, 41]. Based on Matzinger’s finding, endogenous molecules

that are potential danger signals can bind to the same receptors that foreign antigens bind to, i.e.,

toll like receptors (TLRs) on APCs [35]. Although the danger hypothesis is very attractive, it is

so very hard to rigorously test. The range of danger signals is unknown to date, and more

evidence is needed to demonstrate to what extent this hypothesis is relevant to the mechanism of

immune responses.

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Figure 2. Danger hypothesis.

Cells under stress can produce danger signals that can stimulate the costimulatory molecules on

APCs and provide signal 2 for T cell priming. The lack of signal 2 leads to immune tolerance.

This model does not address signal 1.

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1.3.3. Pharmacological Interaction (PI) Hypothesis

The pharmacological interaction of drug with antigen-specific immune receptors, or the PI

hypothesis, proposed that chemically inert drugs can bind directly and non-covalently to the

MHC-peptide complex. The non-covalent binding between drug and MHC-peptide complex

may not be consequential per se, but a T cell with the appropriate TCR may bind to this drug-

MHC complex with a much higher affinity and lead to an immune response [42]. This

hypothesis was proposed by Werner J. Pichler based on the observation that T cell clones

generated from patients with history of sulfamethoxazole (SMX) proliferated in response to the

parent drug in the absence of metabolism [43]. He also found that when exposed to the parent

drug and the metabolites (nitroso-SMX and SMX-hydroxylamine), the generated T cell clones

responded much better to the parent drug than to the metabolites [44].

The PI hypothesis is relatively new and therefore less tested compared to the other hypotheses.

However, the use of T cell clones may lead to artifacts, and the response of these cells may not

represent the mechanism by which a drug induced an immune response. In fact, more recent

studies on SMX from Dean Naisbitt’s group showed the opposite results: lymphocytes from

patients with a history of SMX-mediated allergic reactions proliferated strongly with the nitroso

metabolite but very weakly to the parent drug [45]. Consistent with this observation, the same

group also showed that SMX can form metabolism-derived antigenic protein adducts in dendritic

cells, which then stimulate dendritic cell signaling and lead to a T cell-mediated immune

response [46, 47].

There is an implicit assumption on which the PI hypothesis is based - what the lymphocytes

respond to is what initiated the immune response. We were skeptical that this assumption is

correct, and we were able to test it with our animal model of nevirapine (NVP)-induced skin

rash. The details of this research will be discussed in Chapter 2 [48].

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Figure 3. PI hypothesis.

The chemically unreactive parent drug can bind directly and reversibly to the MHC-peptide

complex on an APC and be recognized by T cells with a TCR that fits the drug-MHC complex.

This model does not address signal 2.

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1.4. Animal Models

Given the low incidence of IDRs and their unpredictable nature, mechanistic studies of human

subjects are virtually impossible. Since IDRs are often not diagnosed until late, most human

studies are retrospective and cannot study the events that led up to the IDR. Therefore, it is very

difficult to test mechanistic hypotheses.

The most effective tool to study mechanisms of IDRs is to use a valid animal model. However,

drug reactions that are idiosyncratic in humans are also idiosyncratic in animals, and the model is

useful only if the mechanisms and clinical manifestations mimic what occurs in humans.

Therefore, it has been a great challenge to develop animal models, and as a result, very few good

models exist to date. Sulfonamide-induced hypersensitivity in dogs mimic clinical

manifestations in humans, and it appears to be a good model, but the incidence is about 1%,

mostly in large breed dogs, and it is not very practical to study large numbers of large dogs [49].

Overdoses of acetaminophen can lead to acute liver failure, which is characterized by

centrilobular hepatic necrosis both in humans and animals [25]. Although it has been

extensively studied, acetaminophen-induced idiosyncratic liver injuries in mice is a model of

direct hepatotoxicity rather than a model of an IDR [50]. Amodiaquine induces both

agranulocytosis and hepatotoxicity in humans. When rats are treated with amodiaquine, it

induces a similar immune response including slightly elevated liver transaminase levels and

leucopenia, but without histological evidence in liver damage or agranulocytosis [51, 52]. Our

group has shown that there is an immune adaptation component in the rodent model, and

overcoming immune tolerance appears to be the biggest challenge to develop an animal model

that mimics an IDR that occurs in humans [50].

Despite all of the challenges, we are still fortunate to have a few models that are good

representatives of mechanisms of human IDRs. Two of these models will be discussed in the

following sections: the NVP-induced skin rash in female Brown Norway (BN) rats, and the D-

penicillamine-induced autoimmune syndrome in BN rats.

1.4.1. NVP-induced Skin Rash in Female BN Rats

NVP (Viramune®

) is a nonnucleoside reverse transcriptase inhibitor (NNRTI) used to treat

human immunodeficiency virus-1 infections. Soon after being marketed, it was found to cause

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skin rash and liver toxicity including Stevens-Johnson syndrome and toxic epidermal necrolysis

[53]. In early studies, the incidence of skin rash was 16%, and that of clinically evident

hepatotoxicity was 1% [53]. However, the incidence is lower at present because patients are

started at a lower dose (200 mg once daily) for two weeks followed by the full dose (200 mg

twice daily). Our lab found that NVP also causes a skin rash in female BN rats with similar

characteristics to the rash that it causes in humans, and the detailed characteristics are listed

below in Table 2.

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Table 2. Similar characteristics of NVP-induced skin rash in humans and female BN rats.

Characteristic Humans Rats

Time to onset Less than 6 weeks, mostly 1~3

weeks [53]

Develop red ears in 7 days and

skin lesions in 2~3 weeks [54]

Dose-response Incidence increases with dose

[55]

Incidence increases with dose

[54]

Female sex Increased susceptibility [56, 57] Increased susceptibility [54]

NVP plasma levels ~ 5 µg/mL [58] ~20-40 µg/mL [59]

Rechallenge Earlier onset and more severe

[55]

Earlier with red ears in <24

hours and skin rash in a week

[54]

Lead-in dose treatment A 2-week low dose (200

mg/day) followed by the full

dose (200 mg twice daily)

decreased the incidence [53]

A 2-week low dose (40

mg/kg/day) followed by the

full dose (mg/kg/day)

prevented the rash [54]

CD4 T cell count Low CD4+ T cells count is

protective [60]

Partial depletion of CD4+ T

cells delayed the rash [61]

Response of

lymphocytes from

patients/rats with a rash

T cells produce interferon

(IFN)-γ when stimulated with

NVP [62]

T cells proliferate and produce

IFN-γ when stimulated with

NVP [48]

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Female patients are more susceptible to NVP-induced skin rash than males [56, 57]. Similarly,

NVP-induced skin rash in rats is strain- and sex-dependent [54]. When female BN rats are fed a

diet containing NVP at a dose of 150 mg/kg/day, they develop red ears in about 7 days and skin

rash in 14-21 days with an incidence of 100% [54]. The incidence in female Sprague Dawley

rats was 20%, whereas none of the male rats of either strain developed a rash. However, the

blood level of NVP and its 12-hydroxy-metabolite (12-OH-NVP) are also lower than in female

BN rats, and if these animals are cotreated with aminobenzotriazole to inhibit cytochrome P450,

the incidence of skin rash increases [54]. In addition to the fact that females have a higher

incidence of skin rash in both humans and in our model, the characteristics of the skin rash are

similar as well. For instance, the onset of rash occurs 2-3 weeks after starting NVP treatment,

and the syndrome resolves when the treatment is discontinued. Upon rechallenge with NVP, the

onset of rash is accelerated. A 2-week low dose (40 mg/kg/day) followed by the full dose (150

mg/kg/day) of NVP also prevented the rash in female BN rats [54]. A low CD4+ T cell count

decreases the risk of rash in humans. Similarly, partial depletion of CD4+ T cells delayed the rash

in female BN rats [61]. The fact that the characteristics of NVP-induced skin rash in female BN

rats are similar to that in humans suggests that the mechanisms are similar; therefore, we have

used this as an animal model to study IDRs. However, it should be noted that the skin rash in

humans can vary from a mild rash that resolves despite continued treatment to life-threatening

toxic epidermal necrolysis; the rash in rats is more like the milder form of rash in humans.

In patients, in addition to the faster onset on rechallenge and the presence of drug-specific T

cells, which are clear evidence of immune reactions, NVP-induced skin rash is also reported to

be associated with specific HLA genotypes including the MHC II allele HLA-DRB1*01 [63] and

HLA-DRB1*0101 [64], as well as the MHC I allele HLA-Cw8 [65]. These associations suggest

involvement of the adaptive immune system. A toxicogenomics study also suggested that the

genetic predisposition to NVP-induced IDRs varies between different ethnic groups [66].

Likewise, our animal studies also provided overwhelming evidence of an immune-mediated

mechanism in rats. First, histology of skin sections revealed the existence of an inflammatory

cell infiltration, primarily T cells and macrophages [54, 67]. Second, when rats with a skin rash

were removed from NVP until the rash resolved and then rechallenged with NVP, there was a

more rapid onset with red ears in less than 24 hours and skin lesions in about 1 week [54]. This

suggests an amnestic immune response. Moreover, this sensitivity can be transferred to naïve

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animals with splenocytes or just splenic CD4+ T cells from rechallenged animals, and the onset

of the reaction for these naïve recipients followed the same time course as NVP-rechallenged

animals [54]. Pretreatment with immunosuppressants, i.e. cyclosporine and tacrolimus,

prevented NVP-induced skin rash, and it also led to resolution of the rash during NVP treatment,

further supporting an immune mechanism of the rash [61].

One fundamental question is whether an IDR is caused by the parent drug or a reactive

metabolite. Jie Chen et al. in 2009 showed that hydroxylation at the 12 position of NVP to form

12-OH-NVP is required to induce a skin rash [59]. Specifically, substitution of the methyl

hydrogen atoms at the 12 position of NVP with deuterium decreased the rate of 12-hydroxylation

and led to a decreased incidence of skin rash; treatment with the 12-OH-NVP metabolite also

causes a rash at a lower dose [59]. This demonstrates that the 12-OH-NVP pathway is

responsible for inducing the rash. 12-OH-NVP is not chemically reactive, and it is the same

oxidation state as the quinone methide so the rash cannot be caused by oxidation of 12-OH-NVP,

but it can be further metabolized to a benzylic sulfate. The most recent data showed that this

sulfate metabolite can covalently bind to proteins in the epidermis of rats, where the

sulfotransferases are located. Such binding was also present when the 12-OH-NVP metabolite

was incubated with homogenized human skin, but not with murine skin [68]. This may explain

why mice do not develop a rash following NVP treatment: they lack the sulfotransferase required

to form the reactive sulfate metabolite in the skin. Moreover, topical treatment with 2-

phenylhexanol, a sulfotransferase inhibitor, prevented the covalent binding as well as the rash,

but only where it was applied [69]. These results provide definitive evidence that 12-OH-NVP

sulfate formed in the skin is responsible for the rash. There is also a report that 12-mesyloxy-

NVP, a synthetic 12-sulfate-NVP surrogate, can form conjugates with glutathione, amino acids,

DNA, and haemoglobin [70-72]. This finding is irrelevant because the mesylate is far more

reactive than the sulfate, and it is not formed in biological systems.

Another question is how this IDR is initiated, which is virtually impossible to study in humans.

There are three major hypothesis explaining the initial steps of IDRs: the hapten hypothesis, the

danger hypothesis, and the PI hypothesis. The finding that the sulfate binds to skin proteins is

consistent with the hapten hypothesis. We also found that treatment of animals led to early (6

hours) changes in gene expression in the skin that are consistent with the danger hypothesis, and

there were many more changes after treatment with 12-OH-NVP than with NVP, which is

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consistent with the fact that 12-OH-NVP is the obligate intermediate in the formation of the

sulfate reactive metabolite in the skin [73]. Our group also found that T cells from a sensitized

animal responded to incubation with NVP by producing cytokines such as IFN-γ and interleukin

(IL)-10, which implies that the rash was induced by NVP rather than a metabolite, and this is

consistent with the PI hypothesis. However, we already knew that the induction of rash depends

on 12-hydroxylation. This assumption was the basis for the PI hypothesis, and it is only with an

animal model that this could be tested.

NVP-induced skin rash in rats, as one of the very few animal models with characteristics similar

to the IDR that occurs in humans, has allowed testing of several hypotheses that could not be

tested in humans. It is the first study to use a valid animal model to demonstrate that a reactive

metabolite is responsible for an IDR, in this case a reactive metabolite formed in the skin. It

appears that both hapten formation and the induction of danger signals are involved, but there are

probably many factors that make this drug so effective in inducing an immune response and

many details remain to be studied. This thesis will further explore the sequence of events by

which a reactive metabolite leads to an IDR using this animal model.

1.4.2. D-penicillamine-Induced Autoimmune Diseases

Penicillamine is used in the treatment of Wilson’s disease and rheumatoid arthritis but associated

with a relatively high incidence of various autoimmune syndromes, including a lupus-like

syndrome, and myasthenia gravis [74]. It also causes an autoimmune reaction in BN rats, with

features of lupus in humans such as antinuclear antibodies and immune complex deposition in

the kidneys [75, 76]. The reaction is idiosyncratic because it only occurs in BN rats and the

incidence is ~50% even though this is a highly inbred strain of rats; and other strains are

resistant. The dose-response curve of penicillamine-induced autoimmune disease in BN rats is

very unique: the incidence is 0% at a dose of 5 to 10 mg/day; the incidence is between 50% and

80% at a dose of 20 mg/day and not increased by increasing the dose to 50 mg/day. A low dose

treatment (10 mg/day) for 2 weeks induces immune tolerance to a dose of 20 mg/day, which can

be transferred to naïve animals with spleen cells from a tolerant animal [77]. In contrast, the

protection induced by a low dose treatment in NVP-induced skin rash in BN rats is metabolic

tolerance, because it could not be transferred with splenocytes, and co-treatment with

aminobenzotriazole (a P450 inhibitor) breaks the tolerance [61].

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D-penicillamine is chemically reactive without being metabolized; it reacts with aldehydes on

APCs which are normally involved in signaling between T cells and APCs [78]. Rhodes et al.

reported that the amines on T cells and the aldehydes on APCs can form a reversible imine bond,

which is essential for antigen-specific T cell activation [79]. Similarly, penicillamine can react

with aldehydes to form a thioazolidine ring, which is not readily reversible, and lead to activation

of APCs and an autoimmune syndrome [78, 80]. Partial depletion of macrophages with

clodronate-filled liposomes can decrease the incidence of penicillamine-induced autoimmunity;

however, it also inhibits tolerance during low-dose penicillamine treatment [81]. The above

studies suggested that macrophages play an important role in both the pathogenic mechanism

and mediating the tolerance induced by low dose treatment.

Recent studies found that 24 hours following the first dose of penicillamine, a spike in IL-6 was

observed only in rats that developed autoimmune syndrome later in the treatment course [82].

The percentage of T helper 17 (Th17) cells was significantly increased, but only in sick animals.

IL-17, a characteristic cytokine produced by Th17 cells, was increased in sick animals at both the

messenger RNA and serum protein level. Macrophages can be activated by penicillamine and

produce IL-6; IL-6 is also the driving force of Th17 cell differentiation [80]. Taken together,

these findings suggest that macrophages are directly activated by penicillamine, which in turn

induce Th17 cell differentiation and lead to penicillamine-induced autoimmunity.

Many immune modulators have been used to manipulate the immune system to influence the

incidence of penicillamine-induced autoimmune syndrome in BN rats. For example, the

incidence and severity are increased by poly I:C, a synthetic double-stranded polyribonucleotide

that functions as a viral RNA analog and can stimulate APCs via TLR 3. Lipopolysaccharide

(LPS), which is found in the outer membrane of Gram-negative bacteria and stimulates

macrophages via TLR 4, also had similar effects to that induced by poly I:C, but less pronounced

[77, 83]. In contrast to poly I:C and LPS, misoprostol (a prostaglandin E analog) and

aminoguanidine (an inhibitor of inducible nitric oxide synthase) were both protective [83]. On

the other hand, tacrolimus, a T cell immunosuppressant, not only prevented the autoimmune

syndrome and induced tolerance to continued treatment, but it could also reverse ongoing disease

and prevented recurrence of autoimmunity upon re-exposure to penicillamine [81].

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Similar to the NVP-induced IDR in BN rats, the penicillamine-induced autoimmune syndrome

has a delay in onset of symptoms of about 3 weeks. However, unlike the NVP model, the onset

of disease is not accelerated on rechallenge of penicillamine. Although the mechanism is

obviously immune-mediated, the reason why there is no immune memory is unknown. In

addition, given that it is an autoimmune syndrome and the antigens remain, it is not known why

it does not persist after the drug is stopped.

We believe that IDRs are due to a failure of immune tolerance mechanisms in the patients who

develop a reaction; likewise, immune tolerance is the major reason why some animals do not

develop IDRs while others do. The fact that penicillamine only causes an IDR in certain BN rats

makes this model a perfect tool for comparative studies between rats that do get sick and rats that

do not. We were able to show some markers that can predict which rats will develop such

reactions and which don’t, e.g., the early spike in IL-6. We will continue to use this animal to

study the difference between sensitive animals and tolerant animals and hopefully provide more

mechanistic clues on how to predict which drugs will cause IDRs in humans.

1.5. Investigating the Mechanisms of IDRs

Understanding IDRs has been a real challenge due to the lack of valid animal models. However,

our research has progressed rapidly with the development of many advanced assays and growing

knowledge of immunology and the human genome. In this section, several state-of-the-art

approaches used for mechanistic studies will be discussed to showcase how they have advanced

our knowledge of drug hypersensitivity.

1.5.1. Detection of Reactive Intermediate Formation and Covalent Binding

In general, formation of drug-modified proteins following bioactivation of the parent drug to

form reactive intermediates is believed to be a required step for most IDRs. Many efforts have

been devoted to screen drug candidates for the formation of reactive metabolites such as

screening for suicide inhibition of drug metabolizing enzymes or glutathione conjugates.

However, these approaches usually cannot detect all reactive metabolites because the pathways

are complex [84]. Covalent binding, as suggested by the hapten hypothesis, appears to be a

crucial step in the pathogenesis of most IDRs. However it is important to note that many drugs

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that do not lead to IDRs are also known to form reactive metabolites, and the quantity of

covalent binding does not necessarily correlate with the incidence of IDRs [84]. It is suggested

that the pathogenesis of the binding is determined by the target of binding and the association

with cytotoxicity in vivo. However, we have not yet identified any common pattern of binding or

unique target proteins associated with most IDRs. A good example of covalent binding that

leads to an IDR is the NVP-induced skin rash in female BN rats as discussed previously [69].

This is also the first study to use an animal model to demonstrate that a reactive metabolite is

responsible for an IDR, in this case the 12-OH-NVP sulfate formed in the skin. Future

characterization of the covalent binding in this model will provide more evidence on how that

translated into toxicity and contributed to the initiation of an immune response.

As discussed, reactive metabolite formation and covalent binding are probably necessary but not

sufficient for most IDRs. Screening drug candidates to avoid chemical structures that are likely

to form a reactive intermediate or covalent binding would likely decrease the likelihood of IDRs,

however, it also results in potential loss of useful drugs.

1.5.2. T Cell Based Assays

T cell based assays are routinely used in diagnosis of drug hypersensitivity and research in IDRs

because they pose no threat to patient safety. The most well known is the proliferation based

lymphocyte transformation test (LTT). This test reproduces T cell responses to a drug in vitro,

from which one concludes a previous in vivo sensitization [85]. Basically, drug-specific T cells

are isolated from patients with a history of drug hypersensitivity and cloned in vitro to increase

the sensitivity of the assay. T cell response is then determined by proliferation or cytokine

production. A positive LTT demonstrates the specificity of the T cells to the drug tested. It is

reported that the LTT has a general sensitivity of 60-70% and a specificity of 93% in detecting β-

lactam hypersensitivity [85]. However, numbers are different for different drugs. A large

prospective study on isoniazid-induced hepatotoxicity by Warrington showed that the specificity

of LTT was 83-90% and the sensitivity was only 50% [86]. This well designed study also

addressed the fact that a greater sensitivity was obtained when drug-modified proteins (instead of

the drug or its metabolite) were used to stimulate T cells in vitro. Despite that, the LTT is widely

accepted as a diagnostic tool. However, the mechanistic relevance of detecting drug reactive T

cells is indirect, e.g. it does not explain how the immune response is initiated or if the T cell

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response is a cause or an effect of the IDR. In fact, what T cells respond to may not necessarily

be what induced the immune response in the first place. Such assumptions can only be tested by

using an animal model.

While the LTT is used to measure the response of long lasting antigen-specific T cells, there are

other T cell-based assays developed to predict the potential of a drug to cause hypersensitivity.

These assays typically utilize isolated human APCs (for example, monocytes-derived dendritic

cells) to recognize chemically reactive sensitizers such as 2,4-dinitroclorobenzene [87].

Basically, APCs isolated from humans are exposed to an allergen for 1-2 weeks in the presence

of naïve T cells to allow initial antigen presentation. Afterwards, T cells are re-stimulated under

the same experimental conditions to allow detectable levels of proliferation or cytokine

production. The APCs used in most studies are derived from peripheral blood mononuclear cells

(PBMCs) isolated from healthy volunteers. Responder T cells are usually purified by flow

cytometry or magnetic beads to exclude natural CD4+CD25

+FOXP3

+ regulatory T (Treg) cells.

The elimination of Treg cells lowers the barrier of T cell response to weakly immunogenic

allergens and increases the sensitivity of the assay [88]. The critical point of this assay is the

antigen presentation process: can APCs successfully deliver a message to T cells. Therefore, the

success depends on the availability of the APC as well as their ability to recognize and present

the antigens [89]. Allergens can be added either in the form of a reactive metabolite to directly

activate APCs or in the form of a hapten-protein conjugate. The modification of

cellular/extracellular proteins of APCs by a reactive metabolite is impossible to control, but it is

a determinant of the antigen presentation and T cell activation. Therefore, only a positive T cell

response is informative, and a negative result cannot be interpreted [90]. One possible

explanation of a negative T cell priming assay is that the modification of the APCs did not lead

to generation of epitopes that can be recognized by T cells. This could be because the type of

APC used did not have the MHC required to present the required peptide, or the wrong antigen

was used (i.e. a specific drug-modified protein/reactive metabolite may be needed instead of the

parent drug). Another possible explanation for a negative T cell priming assay could be that the

TCR repertoire used in the system does not include a TCR that can recognize the chemical [90].

In general, using hapten-protein conjugates has some advantages except that danger signals (such

as cytokines) that are produced in vivo may be missing and may need to be added to the assay in

order to successfully prime T cells [90].

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T cell based assays provide strong evidence that a specific drug is involved in inducing an

immune response and are complementary to most other single cell based in vitro assays. Due to

the obvious complexity, these assays are still in development and need to be optimized

individually for each compound.

1.5.3. Co-administration Studies

Co-administration of a drug that causes IDRs with other substances helps to identify the risk

factors and is useful in animal model development. These substances usually include, but are not

limited to, metabolic inhibitors, immunosuppressants, and modulators. Some of them are used to

determine the involvement of the immune system. For example, co-treatment with

immunosuppressants or immune modulators can provide evidence of the involvement of the

immune system and which cells are involved. These modulators can be small molecules such as

agonists or antagonists of a specific pathway, or biological products such as neutralizing

antibodies. A good example is that the depletion of CD4 cells by anti-CD4 antibodies led to a

decreased incidence of NVP-induced skin rash in female BN rats. This suggested that CD4 cells

mediate this IDR [61]. TLR agonists such as LPS and poly I:C are also often studied because

they facilitate breaking immune tolerance, which has been the biggest challenge in animal model

development. Metabolic inhibitors manipulate the production and turnover rate of certain

metabolites in the biological system and identify their roles in inducing the IDRs. For example,

inhibition of detoxification pathways may result in accumulation of a reactive metabolite that is

responsible for an IDR and lead to an increased incidence. Nevertheless, all of these

manipulation studies either require an animal model that represents a similar mechanism of IDR

as that in humans, or aim to develop such models.

1.5.4. Pharmacogenetics in Clinical Research

Genomic studies of patients has provided strong evidence that genetic predisposition is a risk

factor for some IDRs. Identifying these risk factors could significantly decrease the incidence of

IDRs and improve the process of drug development. There are mainly two categories of genetic

predispositions that are associated with IDRs: polymorphisms involving drug metabolizing

enzymes and drug transporter genes, or the immune system in the case of a drug-induced allergic

reactions [91]. One example of the first category is the link between deficiency in glutathione

synthetase and increased hepatotoxicity of certain drugs such as acetaminophen [92, 93].

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Glutathione conjugation is a major detoxification pathway of many drugs. A deficiency in

synthesizing the molecule may cause the accumulation of reactive drug metabolites, which in

turn leads to liver toxicity. The most intensively investigated example for the second category is

the association between IDRs and the polymorphism of HLA molecules. For instance, a tight

association was reported between carbamazepine-induced Steven-Johnson syndrome and toxic

epidermal necrolysis and the HLA-B*1502 allele in Han Chinese but not in Caucasians [94, 95].

HLA molecules play a key role in antigen presentation and initiating an immune response. The

fact that the polymorphism leads to different incidences in different ethnic groups suggested that

immune systems are involved in these reactions. Pharmacogenetics is perhaps the most

informative tool to study the mechanisms of IDRs in clinical settings, and it is an emerging area

that may allow us to identify potential biomarkers and establish a standard process for drug

screening.

1.6. Rationale of the Present Studies

IDR is a complex topic and requires comprehensive understanding of drug metabolism,

immunology, genetics, and other fields. In the present studies, this question is tackled from

different angles by a variety of methods using the NVP-induced skin rash in female BN rats as a

model. We aim to test the PI hypothesis and investigate the role of CD4+

T cells, review risk

factors, and determine the initial steps of the immune response induced by the metabolite of

NVP. These objectives will be discussed in the following chapters.

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CHAPTER 2

A STUDY OF THE SPECIFICITY OF LYMPHOCYTES IN

NEVIRAPINE-INDUCED SKIN RASH

Chen, X., et al., A study of the specificity of lymphocytes in nevirapine-induced skin rash.

J Pharmacol Exp Ther, 2009. 331(3): p. 836-41.

0022-3565/09/3313-836–841$20.00

THE JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS Vol. 331, No. 3

Copyright © 2009 by The American Society for Pharmacology and Experimental Therapeutics

157362/3532294

JPET 331:836–841, 2009

Printed in U.S.A.

Reprinted with permission of the American Society for Pharmacology and Experimental Therapeutics. All rights reserved.

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2.1. ABSTRACT

Background: NVP treatment can cause a skin rash. We developed an animal model of this rash

and determined that the 12 hydroxylation metabolic pathway is responsible for the rash, and

treatment of animals with 12-OH-NVP also leads to a rash.

Objective: To determine the specificity of lymphocytes in NVP-induced skin rash.

Materials and Methods: BN rats were treated with NVP or 12-OH-NVP to induce a rash.

Lymph nodes were removed and the response of lymphocytes to NVP and its

metabolites/analogs was determined by cytokine production (ELISA, ELISPOT, and Luminex)

and proliferation (alamar blue assay). Subsets of lymphocytes were depleted to determine which

cells were responsible for cytokine production.

Results: Lymphocytes from animals rechallenged with NVP proliferated to NVP but not to 12-

OH-NVP or 4-chloro-NVP. They also produced IFN-γ when exposed to NVP, significantly less

when exposed to 4-chloro-NVP, and very little when exposed to 12-OH-NVP even though

oxidation to 12-OH-NVP is required to induce the rash. Moreover, the specificity of

lymphocytes from 12-OH-NVP-treated rats was the same, i.e. responding to NVP more than to

12-OH-NVP even though these animals had never been exposed to NVP. A Luminex

immunoassay showed that a variety of other cytokines/chemokines were also produced by NVP-

stimulated lymphocytes. CD4+

cells were the major source of cytokines.

Conclusions: The specificity of lymphocytes in activation assays cannot be used to determine

what initiated an immune response. This has significant implications for understanding the

evolution of an immune response and the basis of the PI hypothesis.

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2.2. INTRODUCTION

NVP is a NNRTI used in the treatment of human immunodeficiency virus infections. Although

effective, its use has been limited due to its propensity to cause skin rash and liver toxicity. In

patients, skin rashes vary from mild erythematous, maculopapular rashes to more severe Stevens-

Johnson syndrome or toxic epidermal necrolysis [96, 97]. Our group discovered a novel animal

model of NVP-induced skin rash in rats. The characteristics of NVP-induced skin rash in BN

rats are very similar to the milder rashes that occur in humans, which suggests that the

mechanisms are very similar. Specifically, in both humans and rats there is a 2-3 week delay

between starting the drug and the onset of rash, and on re-exposure, symptoms are more severe

and accelerated [54, 55]. Females are more susceptible to developing rash than males in both

BN rats and humans. Furthermore, the sensitivity to NVP-induced skin rash can be transferred

with CD4+ T cells from NVP-rechallenged rats to naïve recipients [61]. Also, partial depletion

of CD4+ T cells delayed and decreased the severity of rash while depletion of CD8

+ T cells did

not prevent the development of NVP-induced skin rash which fits with the observation that the

incidence of rash is lower in patients with a low CD4+ T cell count [61].

There is circumstantial evidence that many IDRs involve reactive metabolites of the drugs rather

than the parent drug, but there is rarely definitive evidence for the involvement of a reactive

metabolite. We recently demonstrated that the NVP-induced skin rash is not caused by NVP

itself but requires 12-hydroxylation of NVP, presumably because the 12-hydroxy metabolite is

further converted to a more reactive sulfate in the skin. This conclusion was based on

experiments in which the 12-methyl hydrogens were replaced by deuterium, which decreases 12-

hydroxylation and rash but does not affect other properties of the drug. Furthermore, treatment

with 12-OH-NVP also led to a rash [59].

In the present study we used modifications of the LTT to determine the specificity of

lymphocytes from animals with NVP-induced skin rash. The structures of the compounds used

in these experiments: NVP, 12-OH-NVP and 4-chloro-NVP (4-Cl-NVP) are shown in Figure 4.

A chlorine atom and a methyl group are of approximately the same size and so noncovalent

binding of 4-Cl-NVP should be similar to that of NVP but the chlorine blocks oxidation to the

12-OH-NVP and subsequent formation of the sulfate, which is the putative immunogen.

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Another analog, 12-chloro-NVP (12-Cl-NVP), which is more reactive than the sulfate of 12-OH-

NVP, was eliminated from later studies because of its cytotoxicity.

Figure 4. Structures of NVP, 12-OH-NVP, 4-Cl-NVP and 12-Cl-NVP.

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2.3. METHODS

Chemicals. NVP was kindly supplied by Boehringer-Ingelheim Pharmaceuticals Inc.

(Ridgefield, CT). 12-OH-NVP [98], 12-Cl-NVP [99] and 4-Cl-NVP [100, 101] were synthesized

as previously described. Phosphate-buffered saline (PBS, pH 7.4), fetal bovine serum (FBS),

1640 RPMI-HEPES modified, MEM non-essential amino acids solution and Penicillin-

Streptomycin liquid were purchased from Invitrogen Canada, Inc. (Burlington, ON). Dimethyl

sulfoxide (DMSO), indomethacin, phorbol myristate acetate (PMA) and inomycin were

purchased from Sigma Aldrich (Oakville, ON). ß-mercaptoethanol (2-ME) was purchased from

Bio-Rad Laboratories (Canada) Ltd. (Missisauga, ON). Rat CD4 and CD8 MicroBeads were

purchased from Miltenyi Biotec (Auburn, CA). Antibodies for flow cytometry studies including

anti-rat CD4 phycoerythrin (PE) (mouse immunoglobulin G1 (IgG1)), anti-rat CD8a fluorescein

isothiocyanate (FITC) (mouse IgG1), mouse IgG1 PE (isotype control) and mouse IgG1 FITC

(isotype control) were purchased from Cedarlane Laboratories (Burlington, ON). Rat

cytokine/chemokine Luminex bead immunoassay kit, LINCOplex, 24 Plex, was purchased from

Millipore (Billerica, MA). Alamar blue solution was purchased from AbD Serotec (Oxford,UK).

IFN-γ and IL-10 enzyme-linked immunosorbent assay (ELISA), IFN-γ enzyme-linked

immunosorbent spot (ELISPOT) immunoassay kits and anti-rat CD32 (Fc-gamma receptor II or

FcγII) antibody were purchased from BD biosciences (Mississauga, ON).

Animal care. Female BN rats (150-175 g) were obtained from Charles River (Montreal, QC)

and housed in pairs in standard cages with free access to water and Agribrands powdered lab

chow diet (Leis Pet Distributing Inc., Wellesley, ON). The animal room was maintained at 22oC

with a 12:12 hour light:dark cycle. After one week of acclimatization period, the rats were either

continued on the same diet (control) or switched to a diet mixed with NVP (treatment group).

Primary-treated animals refer to rats that were treated with NVP at a dose of 150 mg/kg/day for

21 days. Rechallenged animals refer to rats that have recovered (4 weeks off drug) from primary

treatment and then reexposed to the same dose of NVP for 5 days. The amount of NVP mixed

with the diet was calculated based on the body weight of the rats and their daily intake of food.

All animals were monitored for the development of red ears, skin rash, food intake, and body

weight. At the termination of the experiment, rats were killed by carbon dioxide (CO2)

asphyxiation. All of the animal studies were conducted in accordance with the guidelines of the

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Canadian Council on Animal Care and approved by University of Toronto’s animal care

committee.

Preparation of single cell suspension from auricular lymph nodes (ALNs). ALNs were

excised and put into Petri dishes containing culture medium (50 mL of FBS, 5 mL of MEM non-

essential amino acids, 5 mL of antibiotics, 5 mL of diluted 2-ME (35 µL of 2-ME in 100 mL of

distilled water) and 435 mL of 1640 RPMI-HEPES-modified medium. ALN cells were teased

out of the nodal capsule using the butt end of a sterile 3 mL syringe plunger and filtered twice

through a 40 µm nylon mesh cell strainer (BD falcon). The cell viability was assessed in 0.4%

Trypan Blue.

Determination of cell proliferation using an alamar blue assay. Single cell suspensions

made from control, primary-treated, or rechallenged animals were resuspended at a density of

106 cells/mL with 1 µg/mL of indomethacin. They were then plated at 200 µL/well in a 96-well

plate. The cells were incubated with various concentrations of NVP, 12-OH-NVP, or 4-Cl-NVP

dissolved in DMSO for 72 hours at 37°C in a 5% CO2 atmosphere. Cells were incubated with

equal volume (10µL) of PMA (50 ng/mL in DMSO) and inomycin (500 ng/mL in DMSO)

served as a positive control. DMSO alone-treated wells served as a negative control. Alamar

blue reagent was added to each well in an amount equal to 10% of the volume in the well (20

µL) at 24 hours during the incubation. Optical density (OD) values at 570 nm and 600 nm were

read at 72 hours. Alamar blue reagent incorporates an oxidation-reduction indicator that changes

color in response to the chemical reduction of growth medium resulting from cell growth. The

difference in its reduction between treated and control wells were calculated following the

manufacture’s instructions.

Luminex, ELISPOT and ELISA assays. Single cell suspensions made from control, primary-

treated, and rechallenged animals were incubated in the same manner as in the alamar blue assay

except that the cells were plated at 2 mL/well in a 24-well plate for the ELISA and Luminex

assays, and the addition of alamar blue was omitted. After 72 hours of incubation, the cell

culture supernatant was collected and stored at -20oC. Quantitation of IFN-γ and IL-10 were

achieved by using an ELISA assay and a broad screening of cytokines was performed using a

Luminex immunoassay kit from Millipore. The cytokines/chemokines measured were: IL-1α,

IL-1β, IL-2, IL-4, IL-5, IL-6, IL-10, IL-12p70, IL-18, granulocyte macrophage colony-

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stimulating factor (GM-CSF), growth-related oncogene (GRO/KC), IFN-γ, monocyte

chemoattractant protein 1 (MCP-1), tumor necrosis factor α (TNF-α), IL-9, IL-13, IL-17,

Eotaxin, granulocyte colony-stimulating factor (G-CSF), leptin, macrophage inflammatory

protein 1α (MIP-1α), interferon gamma-induced protein 10 (IP-10), regulated on activation,

normal t cell expressed and secreted (RANTES), and vascular endothelial growth factor (VEGF).

In the case of the ELISPOT assay, cells were resuspended at 2 X 106 cells/mL and 200 µL was

added into each well of the 96 well ELISPOT plate. After 72 hours of incubation, the

frequencies of cells that produce IFN-γ were analyzed by an automated enzyme-linked

immunospot counter (Cellular Technology Ltd., OH). All the immunoassays were performed by

following the manufacture’s instructions.

Depletion of CD4+

and/or CD8+ lymphocytes. In order to identify which cells produced IFN-

γ, CD4+ and/or CD8

+ cells were depleted from the single cell suspensions by labeling CD4

+

and/or CD8+ cells with immunomagnetic microbeads coated with anti-CD4 or anti-CD8a

antibodies, followed by passage through a magnetic column. The CD4+ and/or CD8

+ depleted

cells were resuspended at 106 cells/mL and 2 mL of cells were incubated with 12.5 µg/mL of

NVP in DMSO in the same way as the other immunoassays described above. To examine the

effect of the depletion procedure itself on cytokine production, a control experiment was

performed in which some CD4+ and/or CD8

+ depleted cells were combined with CD4

+ and/or

CD8+ cells (labeled by the corresponding antibodies) in the same portion as they were before the

depletion and then incubated with NVP. A small portion of cells without any processing was

also cultured the same way with NVP as a positive control (before depletion). DMSO alone-

treated cells served as negative control. The amount of IFN-γ released into culture medium was

determined by ELISA.

Flow cytometry. Single cell suspensions before and after the depletion of CD4+ and/or CD8

+

cells were surface-labeled, and one- or two-color immunofluorescence analysis was conducted.

Briefly, cells were resuspended at a density of 2 X 107 cells/mL in PBS/3% FBS and 50 µL of

these cell suspensions were aliquoted to wells in a 96-well plate. These cells were first incubated

with anti-CD32 antibody for 10 minutes at room temperature to reduce nonspecific binding.

Then monoclonal antibodies or suitable isotype controls were aliquoted to the appropriate wells

and incubated at room temperature for 20 minutes. The cells were washed twice and finally

resuspended in 400 µL of the same buffer. Samples were analyzed immediately with a FACS-

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Calibur (Becton Dickinson) using the CellQuest software (Becton Dickinson). FlowJo (Tree

Star, Inc.) was used to analyze the difference in CD4+ and/or CD8

+ cell populations between

depleted and undepleted cells.

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2.4. RESULTS

ALNs Cell Specificity as Determined by IFN-γ Production. Cytokine production was used as

a measure of T cell activation. It was found that IFN-γ was a sensitive marker of cell activation,

and the addition of indomethacin to the culture medium made the assay more sensitive and

consistent, presumably because it decreased the inhibitory effects of prostaglandin E production.

Drug-specific IFN-γ secretion from lymphocytes gradually increased from 6 hours until reaching

maximal concentrations on day 3; no IFN-γ could be detected in cultures in the absence of NVP

or in cultures of ALN cells from animals after 21 days of primary NVP exposure in the presence

of NVP (data not shown). Analysis of cell culture supernatants after 3 days showed that ALN

cells from secondary treatment rats incubated in the presence of NVP or 4-Cl-NVP produced

IFN-γ with only a minimal response to 12-OH-NVP and no response to 12-Cl-NVP (Figure 5).

12-Cl-NVP was found to be cytotoxic causing morphologic changes in the cells; therefore, it was

excluded from the rest of the studies. Likewise, ALN cells from animals in which the rash was

induced by 12-OH-NVP and rechallenged with 12-OH-NVP also produced IFN-γ on exposure to

NVP with a smaller response to 4-Cl-NVP and even less to 12-OH-NVP (Figure 5). Again, no

IFN-γ production was detected in cells from animals treated for 21 days on primary exposure to

12-OH-NVP (data not shown). The production of IL-10 by these lymphocytes was also

quantified and showed similar results. Independent of whether the rash was induced by NVP or

12-OH-NVP, lymphocytes always produced IL-10 on exposure to NVP with a smaller response

to 4-Cl-NVP and even less to 12-OH-NVP (Figure 6).

The IFN-γ ELISPOT assay showed the same specificity as the ELISA assay. For both control

and primary-treated animals, no response was observed (data not shown). The frequency of cells

from NVP-rechallenged animals that respond to NVP was approximately 1:4,000 compared to

1:40,000 for the frequency of cells responding to 4-Cl-NVP. Virtually no cells responded to 12-

OH-NVP (Figure 7).

ALN Cell Specificity as Determined by Cell Proliferation. The alamar blue assay was used

to measure cell proliferation in response to NVP, 12-OH-NVP, and 4-Cl-NVP. No increase in

proliferation was detected in cells from animals after primary exposure to NVP (data not shown).

For rechallenged animals, increased proliferation was detected in NVP-stimulated cells, which

was maximal at a NVP concentration of 6.25 µg/mL (Figure 8). No proliferation was detected in

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response to 12-OH-NVP or 4-Cl-NVP. Higher concentrations of all drugs appear to be toxic and

led to less reduction of the alamar blue reagent compared to control wells.

Screening Cytokines/Chemokines Production by Lymphocytes. The Luminex immunoassay

was used to screen for the production of 24 cytokines/chemokines by lymphocytes. In response

to NVP, lymphocytes from primary-treated animals produced increased levels of IL-6, IL-10, IL-

17, IL-18, GMCSF, GRO/KC, RANTES, and MIP-1α (Figure 9). In contrast, rechallenged

animals had increased production of IL-17, GMCSF, GRO/KC, MIP-1α, TNF-α, IL-10, IL-18,

RANTES, and IFN-γ. In general, cells from rechallenged animals produced higher levels of

cytokines/chemokines than cells from primary-treated animals; however, their cytokine profiles

were slightly different. Primary-treated animals produced more IL-18 and produced IL-6, which

was not observed in rechallenged animals. In contrast, rechallenged animals produced TNF-α as

well as a large amount of IFN-γ, which were absent in cells from primary-treated animals (Figure

9). Stimulation of cells from both primary and rechallenged animals with NVP actually

appeared to decrease the basal production of MCP-1.

Production of IFN-γ by CD4+ and/or CD8

+ Depleted Lymphocytes To identify which cells

were responsible for cytokine production, CD4+ and/or CD8

+ cells were depleted from ALN

cells and then cultured with NVP. Flow cytometry was used to determine the degree of

depletion (Table 3). When only CD4+ cells were depleted, the production of IFN-γ was

decreased to levels similar to the negative control (Figure 10). When both CD4+ and CD8

+ cells

were depleted simutaneaously, IFN-γ production was virtually eliminated. However, when ALN

cells were depleted of CD8+ cells the production level of IFN-γ was only slightly decreased.

There was no significant difference in the production level of IFN-γ between undepleted

lymphocytes and lymphocytes combined after depletion procedure.

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Figure 5. IFN-γ secretion by lymphocytes in response to NVP, 12-OH-NVP, 4-Cl-NVP and

12-Cl-NVP.

(A) lymphocytes from NVP-treated animals (n=6), (B) lymphocytes from 12-OH-NVP-treated

animals (n=4). CON indicates control animals; for example, CON/NVP indicates that the

lymphocytes were isolated from untreated control animals and incubated with NVP. The data

are expressed as the mean STD.

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Figure 6. IL-10 secretion by lymphocytes in response to NVP, 12-OH-NVP, 4-Cl-NVP and

12-Cl-NVP.

(A) lymphocytes from NVP-treated animals (n=6), (B) lymphocytes from 12-OH-NVP-treated

animals (n=4). CON indicates control animals; for example, CON/NVP indicates that the

lymphocytes were isolated from untreated control animals and incubated with NVP. The data

are expressed as the mean ± STD.

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Figure 7. Frequencies of lymphocytes responding with the production of IFN-γ when

stimulated with NVP or its analogs/metabolites from NVP-rechallenged rats using an

ELISPOT assay.

Cells incubated with a PMA/inomycin mixture served as a positive control while DMSO alone-

treated well served as a negative control. The numbers at the left corner of each well represents

the number of cells responding to the drug out of a total of 0.4 million cells/well.

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Figure 8. Cell proliferation in response to NVP, 12-OH-NVP and 4-Cl-NVP as determined

by the reduction of alamar blue.

(A) lymphocytes from untreated control animals, (B) lymphocytes from NVP rechallenged

animals. The reduction of alamar blue in control wells (DMSO alone-treated) was set as 1. The

percentage difference in reduction of alamar blue in NVP and its metabolites and/or analog-

treated wells as compared to the control wells was plotted against the concentration of these

drugs in log scale and a decreasing manner. The data represent the mean from 4 rats STD.

Statistical significance between treated samples and control samples was determined using the

Mann Whitney test; values of p≤0.05 were considered statistically significant.

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Figure 9. Concentration of cytokines/chemokines produced by lymphocytes from control

(n=4), primary treated (n=6), and rechallenged (n=7) animals in response to NVP as

determined by a Luminex assay.

The data are separated into panels A and B based on their different range of concentrations. The

levels are expressed as the mean SEM. Statistical significance between treatment group and

control group was determined using the Mann Whitney test; values of p≤0.05 were considered

statistically significant.

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Figure 10. Production of IFN-γ in response to NVP by lymphocytes from rechallenged rats

before and after depletion of CD4+ and/or CD8

+ T cells.

Negative control was DMSO alone-treated cells. Combined samples were obtained by combining

CD4+ and/or CD8

+ depleted cells with CD4

+ and/or CD8

+ cells (labeled by the corresponding

antibodies) in the same portion as they were before the depletion and then incubated with NVP.

The data represent the mean from 4 rats SE. Statistical significance between depletion groups

and negative control group was determined using the Mann Whitney test; values of p≤0.05 were

considered statistically significant.

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Table 3. Percentage of cell types before and after the depletion of lymphocyte subsets with

magnetic beads.

Rat Cell type

investigated

Before

depletion

(%)

CD4+

depletion (%)

CD8+

depletion

(%)

CD4/CD8+

depletion

(%)

1 CD4+ 40.3 0.0 -- 0.5

CD8+ 10.1 -- 1.2 1.3

2 CD4+ 56.3 0.0 -- 0.2

CD8+ 5.0 -- 0.6 0.4

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2.5. DISCUSSION

In the present studies we determined the molecular specificity of lymphocytes from NVP-

rechallenged animals. Detection of drug-specific IFN-γ secretion by lymphocytes proved to be a

sensitive method for the detection of lymphocyte activation. A recent study of a patient with a

history of NVP-induced liver toxicity found that the patient’s T cells proliferated in response to

NVP but not to 12-OH-NVP, 2-OH-NVP, or descyclopropyl-NVP; they did not test the 4-Cl

analog [102]. In another study, T cells from a patient with NVP-induced skin rash responded to

incubation with NVP by producing IFN-γ (Keane NM et al., abstract MOPEB007, 4th

International AIDS Society Meeting, Australia, 2007). These clinical findings provide further

evidence that the immune response in the animal model is similar to that in NVP-induced

idiosyncratic reactions in humans. The finding that CD4+ T cells were the source of IFN-γ is

also consistent with the observation that depletion of these cells in both the animal model and

humans is protective where, at least in the animal model, depletion of CD8+ T cells actually

seemed to make the rash worse. Other cytokines were also produced and the pattern was

different in cells from animals after primary exposure to NVP than those from rechallenged

animals. The rash in animals is mild on initial exposure to NVP, but the reaction is systemic

with weight loss and a widespread infiltration of lymphocytes in the skin on rechallenge so it is

not surprising that the response and number of responding cells was markedly greater in cells

from rechallenged animals [67].

A quite surprising finding was that there was a complete disconnect between what induced the

skin rash and the specificity of the T cells. Not only do we know from independent experiments

that oxidation of NVP to 12-OH-NVP is required to cause a skin rash, but even when the skin

rash was induced by treatment with 12-OH-NVP and the animals had not been exposed to NVP

(12-OH-NVP is not converted to NVP), their T cells responded much better to NVP than to 12-

OH-NVP. This has significant implications for understanding how an immune response evolves.

It is likely that induction of this immune response requires covalent binding of a reactive

metabolite NVP derived from 12-OH-NVP because this results in modified protein (Hapten

Hypothesis) and/or because it causes cell damage (Danger Hypothesis). However, once induced,

there is much more drug present than modified protein and it is possible that some T cells cross-

react with parent drug and proliferate, i.e. epitope spreading [12]. NVP and 4-Cl-NVP are more

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lipophilic than 12-OH-NVP and this may lead to higher affinity binding. The basis for why there

is a disconnect between what induces the immune response and the specificity of the T cells is

speculation; however, what is clear is that the specificity of T cells cannot be used to determine

what induced the immune response.

These findings also have implications for the PI hypothesis. This hypothesis was originally

based on the LTT results from patients with a history of an idiosyncratic reaction to SMX whose

cloned T cells showed a response to the parent drug in the absence of metabolism [103]. The

unstated assumption is that what T cells respond to is what induced the immune response which

no longer can be considered a valid assumption. This does not mean that the p-i hypothesis is

wrong in all cases; there are IDRs such as ximelagatran-induced liver failure in which a reactive

metabolite does not appear to be involved. Ximelagatran is structurally similar to a small peptide

and may be able to initiate an immune response through a p-i type of interaction; in fact there is

evidence that it can bind directly but reversibly to MHC, specifically DRB1*07 and DQA1*02

[104]. However, our study does have significant implications for the interpretation of LTTs.

Acknowledgments. We thank Boehringer-Ingelheim for their supply of nevirapine. Dr. Jack P.

Uetrecht is the recipient of the Canada Research Chair in Adverse Drug Reactions.

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CHAPTER 3

INDUCING SKIN RASH IN FEMALE BN RATS BY TOPICAL

TREATMENT OF NVP AND/OR 12-OH-NVP

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3.1. INTRODUCTION

12-OH-NVP is a major metabolite of NVP, and the 12-OH-NVP pathway was proven to be

responsible for the skin rash [59]. Moreover, we recently found that it is 12-OH-NVP sulfate that

is responsible for covalent binding in the epidermis and the skin rash that occurs when rats are

treated with NVP. Specifically, topical treatment of 1-phenyl-1-hexanol, a sulfotransferase

inhibitor, prevented both covalent binding where it was applied and the rash [68, 69]. These

results indicate that 12-OH-NVP sulfate formed in the skin is responsible for the skin rash, and

the proposed chemical activation of NVP is shown in figure 11.

Although the culprit metabolite has been identified, the mechanism of how the immune response

was elicited is yet to be fully defined. In addition to other attractive hypotheses, such as the

danger hypothesis, the data suggest that the initiation of this IDR occurs in the skin. The fact

that the covalent binding of 12-OH-NVP sulfate formed in keratinocytes causes the rash

suggested that NVP may share a similar mechanism to that of allergic contact hypersensitivity.

In the case of contact hypersensitivity, the chemical allergens covalently bind to proteins derived

from resident cells in the skin (i.e. keratinocytes, Langerhans cells, and dendritic cells, etc.). The

Langerhans and/or dendritic cells then travel to the local draining lymph nodes and present the

antigens to T cells, which leads to an immune response. It was found that the reactivity of

chemicals and their ability to covalently bind to proteins (hapten formation) are linked to their

immunogenicity and sensitization, and this led to tests to identify potential sensitizers [105-108].

If this hypothesis is right, it should be possible to induce a skin rash by topical treatment with 12-

OH-NVP.

3.1.1. Topical Treatment of NVP on Sensitized Animals

We first started this experiment with sensitized animals because on rechallenge, the immune

response is much more vigorous than that of the first-time sensitization, and the onset is also

accelerated.

When NVP-sensitized female BN rats are rechallenged orally with NVP, the onset of the disease

is accelerated and more severe (the animals develop red ears in 1 day and skin rash in 1 week).

The dose (oral treatment) needed to induce an immune response is as low as 1/30 of that needed

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for primary treatment. We have also done ear patch tests on pre-sensitized animals, and the

results are similar to the oral treatment studies [67]. The ear patch tests also showed a systemic

reaction: when one ear of an animal was painted with NVP or 12-OH-NVP (the major metabolite

which is responsible for the skin rash), both ears turned red within 24 hours. However, we did

not test if the rat would develop skin rash after prolonged treatment. One thing that should be

emphasized is that, although NVP needs to be biotransformed to 12-OH-NVP sulfate in the skin

to initiate the immune response, the parent drug can induce the allergic reaction on rechallenge

without metabolism. It was demonstrated in chapter 2 that the lymphocytes from sensitized

animals can recognize and respond to the parent drug in the absence of metabolism on

rechallenge. Therefore, the use of 12-OH-NVP sulfate (the culprit metabolite) or 12-OH-NVP,

which can be sulfated and form the culprit metabolite by skin resident cells, is not necessary for

topical treatment on rechallenge.

In our animal model, although the development of red ears is used as the earliest sign of NVP-

induced IDRs, we also demonstrated that the redness was a result of vascular dilation. Our goal

is to understand the mechanisms of the immune responses in the skin, and to eliminate possible

interference of the vascular effect; therefore, we repeated the patch tests and used histology to

evaluate the response.

3.1.2. Attempts to Induce a Skin Rash in Naïve Rats by Topical Treatment with 12-OH-NVP

With the success of inducing skin rashes in pre-sensitized animals, we wanted to determine if

this would work with naïve animals. The sequence of events is that NVP is first oxidized in the

liver to 12-OH-NVP, which goes to the skin where sulfotransferase in keratinocytes forms the

reactive sulfate. Therefore, topical administration of NVP would not be expected to cause a rash.

If our hypothesis — that the skin is where the immune response is initiated and the mechanism is

similar to that of contact hypersensitivity — is correct, a direct topical 12-OH-NVP treatment

should be able to induce the skin rash.

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Figure 11. Proposed chemical mechanisms of NVP-induced skin rash by formation of 12-

OH-NVP sulfate in the skin.

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3.2. MATERIALS AND METHODS

Chemicals. NVP was kindly supplied by Boehringer-Ingelheim Pharmaceuticals Inc.

(Ridgefield, CT). 12-OH-NVP [98] was synthesized as previously described. Acetone was

purchased from Sigma Aldrich (Oakville, ON).

Animal care. Female BN rats (150-175 g) were obtained from Charles River (Montreal, QC)

and housed in pairs in standard cages with free access to water and Agribrands powdered lab

chow diet (Leis Pet Distributing Inc., Wellesley, ON). The animal room was maintained at 22 oC

with a 12:12 hour light:dark cycle. After a one-week acclimatization period, the rats were either

continued on the same diet (control) or switched to a diet mixed with NVP (treatment group).

Primary-treated animals refer to rats that were treated with NVP at a dose of 150 mg/kg/day for

21 days. Rechallenged animals refer to rats that have recovered (4 weeks off drug) from the

primary treatment and then reexposed to the same dose of NVP for 5 days. The amount of NVP

mixed with the diet was calculated based on the body weight of the rats and their daily intake of

food. All animals were monitored for the development of red ears, skin rash, food intake, and

body weight. At the termination of the experiment, rats were killed by CO2 asphyxiation. All of

the animal studies were conducted in accordance with the guidelines of the Canadian Council on

Animal Care and approved by University of Toronto’s animal care committee.

Inducing skin rash in rechallenged animals by topical treatment with NVP. Six female BN

rats received NVP in food (150 mg/kg/day) for 21 days or until the skin rash developed, and then

the drug was removed for at least 1 month to allow the animals to recover. After that, part of the

skin on the back of three rats was shaved (approximately 3 cm X 3 cm) and painted with NVP

(2.5 mg/mL in acetone/olive oil, 1:1/v:v). The others were treated with vehicle solution on a

daily basis. As a control for the effects of shaving, an additional area of skin was shaved distant

from where the drug or vehicle solution was applied.

Attempts to induce skin rash in naïve animals by topical treatment with 12-OH-NVP. To

test this hypothesis, 8 female BN rats were shaved on the back (approximately 3 cm X 3 cm).

Two of them were painted with 100 µL of 12-OH-NVP suspension in acetone/olive oil (1:1/v:v)

at a dose of 1.5 mg/kg/day; 2 were painted with 25 µL of 12-OH-NVP in DMSO at a dose of 15

mg/kg/day. The other 4 control animals were treated with the vehicle used in the treatment

groups.

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3.3. RESULTS

Topical treatment of NVP-induced skin rash in sensitized animals. The rats that received

NVP applied topically to the back developed red ears within 24 hours and skin lesions in the

painted area in less than 1 week. Due to the irritation and burn caused by the solvent on the

lesion area, the treatment was stopped at approximately day 5. The vehicle control areas in

treated animals did not have apparent lesions, but the skin surface was dry and exfoliated. The

animals that received vehicle alone had no discomfort or symptoms at all, and the skin looked

normal. The vehicle alone appears to cause some edema and infiltration of a few lymphocytes,

but the histology is not significantly different from other areas on the same control rats (Figure

12. A and B).

The control area of NVP-treated rats (Figure 12. C) showed more lymphocyte infiltration in the

dermis and epidermis. It also had a thickened epidermal layer but few dead keratinocytes. The

histology of the skin where the topical NVP was applied (Figure 12. D-F) showed massive

lymphocyte infiltration everywhere, i.e. epidermis, dermis, and subcutaneous tissue. There was

also an infiltration of eosinophils and neutrophils as well as dead keratinocytes.

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A) B)

C) D)

E) F)

Figure 12. H&E staining of skin samples from rats rechallenged with topical NVP (2.5

mg/mL in acetone/olive oil, 1:1/v:v) or vehicle only.

A) control rat, control area, 20X magnification; B) control rat, vehicle-application area, 20X

magnification; C) treated rat, vehicle-application area. 20X magnification; D-F) treated rat,

NVP-application area, 20X, 10X and 100X magnification, respectively.

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Topical treatment with 12-OH-NVP did not induce a skin rash in naïve animals. The naïve

animals that were treated for 6 weeks with topical 12-OH-NVP had no evidence of skin rash nor

did they appear to have any discomfort. For rats that were treated with 12-OH-NVP in

acetone/olive oil (1:1/v:v) at a dose of 1.5 mg/kg/day, the histology (hematoxylin and eosin or

H&E staining) of the painted skin showed no difference between control and treated animals for

either control or treated areas (results not shown). This may be due to the very limited solubility

of 12-OH-NVP in this vehicle solution and the drug seemed to precipitate out on the surface of

the skin once the acetone had evaporated. Therefore the amount of absorption may have been

minimal. On the other hand, DMSO penetrates skin very well, and it was also the best solvent

for 12-OH-NVP by far that we tried. It seemed that it delivered the drug well and no

precipitation was observed.

Figure 13 shows that DMSO alone caused some skin edema (thicker epidermis) as well as

limited infiltration of lymphocytes in the epidermis and dermis compared to the control area on

the control rats (A). In 12-OH-NVP-treated rats, there seems to be more lymphocytes in the

dermal and subcutaneous areas. An eosinophil infiltration was also observed (C-E). However,

overall the histological changes were minimal, and the difference between drug-treated animals

and control animals were not significant.

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A) B)

C) D)

E)

Figure 13. H&E staining of skin samples from naïve rats treated with topical 12-OH-NVP

(15 mg/kg/day in DMSO) or vehicle only.

A) control rat, control area; B) control rat, DMSO-application area; C) treated rat, DMSO-

application area; D-E) treated rat, 12-OH-NVP-application area. A-D): 10X magnification; E)

20X magnification.

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3.4. DISCUSSION

Even though there is not much P450 in the skin, and NVP must to be metabolized to 12-OH-

NVP in order to induce a skin rash in naïve animals, we were still able to induce a skin rash by

topical treatment of the parent drug in sensitized animals. The reason is likely due to the

“epitope spreading” effect discussed in Chapter 2. Once the immune response is initiated, the

lymphocytes will “cross-react” and respond to both the parent drug and 12-OH-NVP. Therefore,

the parent drug is enough to trigger the immune response on rechallenge.

The fact that we were able to induce a skin rash by topical treatment of NVP suggested that, at

least on rechallenge, the immune response is initiated in the skin. The question is then which

cells are responsible for this “reactivation” and what is the mechanism.

In contact hypersensitivity, dendritic cells (CD11c+) and Langerhans cells (CD207

+) are the most

common antigen presentation cells in the skin [109, 110]. They migrate to the draining lymph

nodes and maybe the spleen once being activated by antigens. The signals are then presented to

T cells in the secondary lymphoid organs and an immune response may be elicited. On the other

hand, T cells expressing skin homing receptors could also be attracted by skin residential cells

expressing the corresponding ligands, and migrate to the local inflammatory site, then induce an

immune response. [111, 112]. In addition to the cell response to the drug, the mechanism

involved in inducing the systemic reaction by local topical treatment of sensitized rats may also

contain an autoimmune component. Although it is possible that there is sufficient absorption

through the skin to produce a significant circulating concentration of NVP, if the amount applied

to the skin is decreased, eventually no rash is induced, but there is no dose at which there is only

a local response. We have recently found the presence of autoantibodies in the sera of

rechallenged animals, which further supports the autoimmune component (Amy Sharma,

unpublished observations). Further characterization of the autoantibodies such as the time

course and classification will be determined.

Although no skin rash was induced by topical treatment of 12-OH-NVP in naïve animals, the

fact that the absolute low dose of drugs/metabolites which will get absorbed by the skin is

limited and may not be enough to induce an IDR. The histology results from primary exposure

experiments also suggested the possibility that 12-OH-NVP may have induced some immune

response although the changes were not that significant. Therefore this study does not directly

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prove our hypothesis wrong. However, it is also possible that the successful induction of an

immune response in the case of NVP requires more than just the local reaction in skin, and the

only way to fully understand the mechanism is to vigorously test each hypothesis.

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CHAPTER 4

FACTORS THAT MAY INFLUENCE THE INCIDENCE AND

SEVERITY OF NVP-INDUCED SKIN RASH IN FEMALE BN

RATS

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4.1. INTRODUCTION

NVP (Viramune) is a NNRTI used in combination therapy to treat human immunodeficiency

virus-1 (HIV-1) infections. Soon after being marketed, it was found to cause skin rash and liver

toxicity including Stevens-Johnson syndrome and toxic epidermal necrolysis [53]. Early studies

showed the incidence of skin rash was 16%, and that of clinically evident hepatotoxicity was 1%

[53]. However, the incidence is lower at present. Starting patients at a lower dose (200 mg once

daily) for two weeks followed by the full does (200 mg twice daily) reduces the incidence of

rash, while treatment with steroids increases the incidence of rash [113]. Also, female patients

are more susceptible to skin rash than males [57].

We found that NVP also causes a skin rash in female BN rats and developed a novel animal

model of drug-induced idiosyncratic skin rash [54]. Specifically, when female BN rats were fed a

mash diet containing NVP at the dose of 150 mg/kg/day, they developed red ears in about 7 days

and skin rash in 14-21 days with an incidence of 100% [54]. The incidence in female Sprague

Dawley rats was 20%, whereas none of the male rats of either strain developed a rash. Besides

the fact that females are associated with higher incidence in both human and our model, the

characteristics of the skin rash are similar as well. For instance, the onset of rash occurs 2-3

weeks after NVP treatment and the syndrome resolves when the treatment is discontinued. Upon

the rechallenge with NVP, the onset of rash is accelerated. A 2-week low dose (40 mg/kg/day)

followed by the full dose (150 mg/kg/day) NVP also prevented the rash in female BN rats [54].

A low CD4+ T cell count decreases the risk of rash in humans; similarly, partial depletion of

CD4+ T cells delayed the rash in female BN rats. The characteristics of NVP-induced skin rash

in female BN rats suggest an immune-mediated mechanism, and we believe it is similar to that in

humans.

In the past few years we have used a variety of modulators to manipulate the incidence/severity

of NVP-induced skin rash to better illustrate the mechanisms of this IDR. For instance, we have

shown that a partial depletion of CD4+ cells by an anti-CD4 antibody is protective suggesting

that CD4+ cells play an important role in this IDR model [54]. On the other hand, a partial

depletion of CD8+ cells seemed to make the rash worse. The immunosuppressants, cyclosporine

and tacrolimus, also prevented NVP-induced skin rash and the associated increase in serum IgE,

which suggests that NVP-induced skin rash is immune-mediated [54]. Agents that were

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demonstrated to change the severity/incidence in another immune-mediated IDR model

(penicillamine-induced autoimmunity in the BN rats) including poly I:C, misoprostol, and

aminoguanidine, had no effect on NVP-induced skin rash [61, 83]. The first sign of NVP-

induced skin rash was red ears, which suggested the involvement of histamine and/or serotonin,

and this led us to test a few anti-allergic drugs including cromolyn, ketanserin, and astemizole.

However, none of these agents had any effect on this IDR [61]. In this paper, we continued to

explore agents that may be able to manipulate the incidence and/or severity of this IDR with the

aim to better understand the mechanism.

Previous studies have shown that the number of B cells increased much more than any other cells

(CD4+ T cells, CD8

+ T cells, and macrophages) in ALNs of NVP-treated animals [67]. The

number of B cells expressing MHC II also significantly increased. In addition, there was a spike

of IgE on day 7 following NVP treatment [67]. All this evidence suggested that B cells may play

an important role in our model, and the best way to test this hypothesis is to deplete B cells in

vivo to see if it affects the NVP-induced skin rash. Rituximab has been used clinically to deplete

B cells for the treatment of many autoimmune diseases including multiple sclerosis and

rheumatoid arthritis. Because of its murine/human chimeric nature, it probably will not recognize

rat CD20 molecules; however, the anti-mouse CD20 antibody from Genetech Inc. seemed to

work in rats and was used to deplete B cells in the present study.

Glutathione reacts with electrophilic reactive intermediates derived from exogenous chemicals

such as drugs, and glutathione conjugation is an important detoxification pathway. It has been

shown that NVP forms a glutathione adduct at the 12 position in human liver microsomes and

cytochrome P450 3A4 (CYP3A4) cultures; therefore, it may represent a protective pathway

[114]. In the present study buthionine sulfoximine (BSO) was used to deplete glutathione to

determine if this would lead to a more severe reaction.

Retinoic acid (RA) is a vitamin A metabolite used to treat acne. It is also reported to inhibit

Th17 differentiation while promoting regulatory T cell differentiation [115]. In the D-

penicillamine-induced autoimmune disease model, in which we think Th17 cells are involved,

RA significantly increased the incidence [82]. In contrast, a small (N=2) pilot study showed that

RA significantly delayed the onset of NVP-induced skin rash. These preliminary findings led to

the investigation of the effect of RA on NVP-induced skin rash.

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Indoleamine dioxygenase (IDO), an intracellular hemoprotein enzyme which catalyses

degradation of the essential amino acid tryptophan, appears important to promote immune

tolerance induction [116]. The levo form of 1-methyl-tryptophan was reported to inhibit IDO

produced by human dendritic cells [117]. Our previous studies have shown a role of regulatory T

cells in NVP-induced skin rash (unpublished observation). Treating animals with 1-methyl-

tryptophan might break the tolerance induced by regulatory T cells and result in an earlier onset

or a more severe disease or even liver toxicity.

Imiquimod and LPS can induce immune responses through toll-like receptors in a non-specific

manner. LPS is a major component of the outer membrane of Gram-negative bacteria; it

enhances an immune response by stimulating APCs through toll-like receptor 4 and upregulating

costimulatory molecules [118]. In another animal model of IDRs, D-penicillamine induced

lupus-like syndrome in male BN rats, LPS was able to reverse tolerance in a small percentage of

animals [77]. It was interesting to see if LPS would affect the disease progression of NVP-

induced skin rash as well. Imiquimod stimulates APCs through toll-like receptor 7 and can

induce the synthesis of IFN- and other cytokines in a variety of cell types [119]. Treatment of

imiquimod may accelerate the onset of NVP-induced skin rash or make the disease worse.

Vitamin D deficiency is associated with higher risk of drug-induced hypersensitivity syndrome

and might be a risk factor in the NVP model [120]. It is much easier to treat rats with Vitamin D

than to deplete it in vivo, so animals were dosed with vitamin D to see if it has any effect.

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4.2. MATERIALS AND METHODS

Chemicals. NVP was kindly supplied by Boehringer-Ingelheim GmbH. Anti-mouse CD20

antibody 5D2 (mouse IgG2a) at a concentration of 17.2 mg/mL was kindly supplied by

Genetech. PBS (pH 7.4), and FBS were purchased from Invitrogen Canada, Inc. (Burlington,

ON, Canada). Anti-rat CD45RA/B PE antibody (mouse IgG1) and anti-mouse IgG1 PE antibody

(isotype control) were purchased from Cedarlane Laboratories (Burlington, ON, Canada). Anti-

rat CD32 antibody was purchased from BD Pharmingen (Mississauga, ON, Canada). Rat IgE

ELISA kit was purchased from GenWay (Hayward, CA, USA). Microvette

ethylenediaminetetraacetic acid-coated (EDTA-coated) tubes for blood samples were purchased

from Sarstedt (Montreal, QC, Canada). Ammonium chloride (NH4Cl), potassium bicarbonate

(KHCO3), ethylenediaminetetraacetic acid (EDTA), dextran, RA, LPS, and 1-methyl-tryptophan

were purchased from Sigma-Aldrich (Oakville, ON, Canada). L-buthionine - (S, R) -

sulfoximine and imiquimod were purchased from Toronto Research Chemicals Inc. (North York,

ON, Canada). Vitamin D3 was purchased from BioShop Canada Inc. (Burlington, ON, Canada).

Rat cytokine/chemokine Luminex bead immunoassay kit, LINCOplex, 24 Plex, was purchased

from Millipore (Billerica, MA). Glutathione assay kit was purchased from BioVision (Nountrain

View, CA, USA).

Animal care. Female BN rats (150–175 g) were obtained from Charles River Canada (Montreal,

QC, Canada) and housed in pairs in standard cages with free access to water and Agribrands

powdered lab chow diet (Cargill, Inc., Minneapolis, MN). The animal room was maintained at

22 °C with a 12:12 h light/dark cycle. After one week of acclimatization, the rats were either

continued on the same diet (control) or switched to a diet mixed with NVP (treatment group).

The amount of NVP mixed with the diet was calculated based on the body weight of the rats and

their daily intake of food. The treatment period was 21 days with a daily dose of approximately

150 mg/kg body weight unless otherwise specified. For B cell depletion experiments, the anti-

mouse CD20 antibody was injected into the tail vein with various dosing schedules. Vehicle

control animals received PBS injections. All animals were monitored for the development of red

ears, skin rash, food intake, and body weight. At the termination of the experiment, rats were

killed by CO2 asphyxiation. All of the animal studies were conducted in accordance with the

Guidelines of the Canadian Council on Animal Care and approved by University of Toronto’s

animal care committee.

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Cotreatment of NVP and anti-CD20 antibody. 1. Testing the efficacy of anti-mouse CD20

antibody in rats. First of all, the efficacy of this anti-mouse antibody in rats was tested. Three

female BN rats received 3 different doses of anti-mouse CD20 antibody by i.v. injection (1 mg, 2

mg or 3 mg per rat). To determine the B cell levels in various tissues, anti-rat CD45RA/B was

used for flow cytometry due to the lack of an anti-rat CD20 antibody.

2. Depleting B cells with various dosing regimens of anti-mouse CD20 antibodies. Five

different dosing regimens with various injection schedules were tested to see if any of them

would change the incidence or severity of NVP-induced skin rash. Twenty eight female BN rats

were divided into 7 groups, and their corresponding dosing schedules are shown in Table 4. All

groups except the control were treated with NVP from Day 0 to 22 at a dose of 150 mg/kg/day.

Each injection of anti-CD20 antibody was 1 mg/rat.

3. Effect of B cell depletion on NVP-induced skin rash in splenectomized rats. The antibody

did not deplete B cells in the spleen and so another group of animals was splenectomized to

remove this B cell refuge. The rats were anesthetised with isoflurane prior to surgery. The hair

was removed from the surgical site and the skin washed with iodine and alcohol. A small

incision (2-3 mm long) was made at the lower left abdominal, the spleen was then identified and

removed after ligating the vessels. The abdominal musculature was closed with 3-0 interrupted

Vicryl sutures and the skin closed with 3-0 Vicryl interrupted sutures. The surgery was

performed using sterile technique. After the surgery, animals were heated to keep them warm

and monitored for 30 minutes before moving them back to normal cages. In the splenectomy

experiments, all animals receiving surgery were closely monitored for their well being and

allowed to recover before they were started on another treatment.

To test the effect of B cell depletion on NVP-induced skin rash in splenectomized rats, three

female BN rats received a splenectomy and were allowed to recover for 2 weeks. They were then

treated with NVP mixed in mash diet at a dose of 150 mg/kg/day. Meanwhile, another 3 healthy

rats received the same NVP diet and served as a control. On day 5, the splenectomized rats

started to develop pink ears, which were not very obvious until day 6 or 7. The control group had

developed red ears by the end of day 7. It seems that splenectomy had little effect on the onset

(not significant) and no effect on severity of NVP-induced skin rash. Therefore, a controlled

study was performed to see if depleting B cells would make a difference. This study involved 5

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63

groups of rats with 2 in each group. All splenectomised animals were allowed to recover for 1

month before receiving any treatments. The experimental design was outlined in Table 4.

Preparation of single-cell suspension from peripheral blood, ALNs, and spleen. Blood was

drawn from the tail vein and mixed with an equal volume of saline with 3% of dextran and left at

room temperature for 20 minutes. The top straw-colored layer was obtained and mixed with 1

mL of red cell lysis buffer (155 mM NH4Cl/10 mM KHCO3/0.1 mM EDTA) and left at room

temperature for 10 minutes. The cell suspensions were then centrifuged at 1800 rpm for 10

minutes at 4°C. The cell pellet was obtained and resuspended in staining buffer (PBS/3% of

FBS) and proceeded to flow cytometry analysis. ALNs were excised and put into staining

buffer. ALN cells were teased out of the nodal capsule by using of the butt end of a sterile 3-mL

syringe plunger and filtered twice through a 40 µm nylon mesh cell strainer (BD falcon, BD

Biosciences). The cell viability and concentration were assessed in 0.4% trypan blue. The

splenic cells were prepared in the same way as for the ALNs except that an additional step of red

cell lysis was required.

Flow cytometry. Single-cell suspensions were surface-labelled, and single immunofluorescence

analysis was conducted. In brief, cells were resuspended at a density of 2 x 107 cells/mL in

staining buffer, and 50 µL of these cell suspensions were aliquoted to wells in a 96-well plate.

These cells were first incubated with anti-rat CD32 antibody for 10 minutes at room temperature

to reduce nonspecific binding. Then, monoclonal antibodies or suitable isotype controls were

aliquoted to the appropriate wells and incubated at room temperature for 20 minutes. The cells

were washed twice and finally resuspended in 400 µL of the same buffer. Samples were

analyzed immediately with a FACS-Calibur (BD Biosciences) with use of CellQuest software

(BD Biosciences). FlowJo (Tree Star, Inc., Ashland, OR) was used to analyze the stained

population.

Plasma IgE levels. The blood was drawn from the tail vein and IgE levels were determined

using the protocol included in the ELISA kit.

Cotreatment of BSO and NVP in naïve animals. Sixteen female BN rats were divided into 4

groups with 4 animals in each group and treated with the experimental plan described in Table 6.

For metabolic studies, animals in the NVP and BSO-NVP groups were put in metabolic cages

one day a week for urine collection, i.e. on days 7, 14, and 21. To avoid the contamination of

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urinary samples with food and ensure adequate uptake of the interventional substances, when

they were in metabolic cages, all rats received NVP by gavage and had free access to regular

food and tap water. The gavaging dose was pre-optimized based on food and water intake: NVP

and BSO were suspended in corn oil at a dose of 75 mg/kg/day and 250 mg/kg/day, respectively.

Both drugs were gavaged twice a day with a 6 hour interval. Control and BSO rats received the

same amount of corn oil as vehicle control on that day. Plasma samples were taken right before

the first dose, and urine samples were collected at the end of the 24 hours. All rats were

monitored for red ears and skin rash on a daily basis and euthanized on day 22. Concentrations

of NVP and its major metabolites (12-OH-NVP, 3-OH-NVP, 4-COOH-NVP, 2-OH-NVP) were

determined using liquid chromatography-mass spectrometry (LC/MS) using the previously

reported method by our group [59]. Total glutathione levels in the liver were determined

following instructions of the glutathione assay kit.

Cotreatment of BSO and NVP in sensitized animals. Eight female BN rats were treated with

NVP at a dose of 150 mg/kg/day in food for 21 days followed by 4 weeks of recovery period,

then rechallenged with NVP at the same dose for 7 days. Four of these rats received BSO at a

dose of 500 mg/kg/day (with 2% of glucose) starting 1 week prior to rechallenge until the end of

this study. All animals were monitored for red ears and skin rash. The levels of NVP and its

metabolites in the plasma and urine were quantified using LC/MS using the previously reported

method by our group [59].

Cotreatment of RA and constant dose of NVP. Female BN rats were co-treated with NVP

(150 mg/kg/day) in food and RA at two different doses (5 mg/kg/day or 20 mg/kg/day). RA was

suspended in corn oil and administered by oral gavage. Each of the three co-treatment groups

had 4 animals and the treatment lasted 21 days.

Cotreatment of RA and an escalating dose of NVP. Twelve female BN rats were divided into

3 groups: 1 control, 1 NVP and 1 cotreatment group. The NVP group received a constant dose of

NVP at 150 mg/kg/day while the cotreatment group received 20 mg/kg/day of RA and NVP with

a starting dose of 150 mg/kg/day in food. The plasma levels of NVP and its major metabolites

were determined by LC/MS, and the dose of NVP in the cotreatment group was escalated to

approximately 175 mg/kg/day over the 21-day treatment course. Serum cytokine levels were

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65

determined by using a Luminex multiplex assay, which can simultaneously measure 24

cytokines/chemokines.

Cotreatment of NVP with 1-methyl-tryptophan, LPS, imiquimod, or vitamin D. For each of

the four test substances, one cotreatment group with 4 female BN rats and one NVP group with 4

animals (treated with 150 mg/kg/day NVP in food) were used. The dose and administration

routes are outlined below: 1-methyl-tryptophan at a dose of 500 mg/kg/day in water by oral

gavage; LPS in water at a dose of 5 mg/kg/week by i.p.; imiquimod in water at a dose of 30

mg/kg twice per week by oral gavage; vitamin D at a dose of 40 international unit(IU)/rat/day in

oil by oral gavage. All animals were monitored for red ears and skin rash.

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Table 4. Design of NVP and anti-mouse CD20 antibody† cotreatment experiments in naïve

BN rats.

Group Day -7 Day 0‡ Day 4 Day 7

Control (N=4) -- -- -- --

NVP (N=4) -- -- -- --

Anti-CD20 D-7 (N=4) Injection 1 -- -- --

Anti-CD20 D-7 &0 (N=4) Injection 1 Injection 2 -- --

Anti-CD20 D-7 & 7 (N=4) Injection1 -- -- Injection 2

Anti-CD20 D4 (N=4) -- -- Injection 1 --

Anti-CD20 D4 & 7 (N=2) -- -- Injection 1 Injection 2

†Anti-mouse CD20 was injected i.v. at a dose of 1 mg/rat.

‡Starting on Day 0, all animals except

the control group were started on a NVP mash diet at a dose of 150 m/kg/day.

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Table 5. Design of NVP and anti-mouse CD20 antibody cotreatment experiments in

splenectomized female BN rats.

Group (n=2) Splenectomy NVP Anti-CD20 injection

Control -- -- PBS on days 1&4

NVP -- 150 mg/kg/day PBS on days 1&4

Splen-NVP Yes 150 mg/kg/day PBS on days 1&4

Splen-CD20-NVP Yes 150 mg/kg/day 1 mg/rat on days 1&4

CD20-NVP -- 150 mg/kg/day 1 mg/rat on days 1&4

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Table 6. Design of BSO and NVP cotreatment experiments in female BN rats.

Group BSO† NVP

Control Tap water with 2% glucose Regular food

BSO Tap water with 20 mM of BSO & 2% glucose Regular food

NVP Tap water with 2% glucose 150mg/kg/day in food

BSO-NVP Tap water with 20 mM of BSO & 2% glucose 150mg/kg/day in food

† Treatment with 20 mM of BSO in 2% glucose resulted in a dose of approximately 500

mg/kg(BW)/day

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4.3. RESULTS

Anti-mouse CD20 antibody effectively depleted B cells in peripheral blood. As shown in

Figure 14, a single injection of anti-CD20 antibody dramatically decreased B cell blood levels to

less than 5% in 3 days. The B cell level started to gradually recover from day 7, and the time

required to fully recover appeared to depend on the dose. The above results suggest that: 1) in

peripheral blood, B cells were effectively depleted by this anti-mouse CD20 antibody; 2) higher

doses (2 mg/rat and 3 mg /rat) did not lead to a better depletion than the lowest dose did; in fact,

they appeared less effective, and the level of B cells returned to normal levels faster.

B cell depletion had no significant effect on NVP-induced skin rash in normal animals.

During the 22 days of NVP treatment, only group “Anti-CD20 D4 & 7” rats that received 2

injections of anti-CD20 antibody on days 4 and 7 following NVP treatment seemed to have an

altered onset of the disease: they started to develop red ears on day 10, which did not become

obvious until day 12, whereas other groups developed red ears on day 7. The skin rash of all rats

that received 2 antibody injections seemed less severe than the others.

Blood was taken weekly and CD45+ cell levels were determined using flow cytometry. Since

there was no change observed in most groups, data for group “Anti-CD20 D4 & 7” (which

seemed to have an effect) and group “Anti-CD20 D-7 & 0” were selected (both groups received

two injections at 1 week intervals) as a representative of this study (Figure 15). B cell levels in

group “Anti-CD20 D-7 & 0” that received the antibody injections on days -7 and 0 gradually

increased from 10% (day 0) to 20% (day 20) while the levels in group “Anti-CD20 D4 & 7”

remained less than 10% during the entire examined period.

B cell depletion in other tissues. By day 22, all rats treated with NVP developed a skin rash and

were euthanized. At the end of the treatment course, the % B cells was ~20% in the peripheral

blood for group “anti-CD20 D-7 & 0” and ~3% for group “Anti -CD20 D4 & 7”, both

significantly less than that of the NVP and control groups (Figure 16). No significant difference

in B cell blood levels was observed between the control and NVP groups. There are about 10%

more B cells in the ALNs of the NVP group (60%) compared to that of control group (50%), and

the levels were significantly less in “anti-CD20 D-7 & 0” group (40%). Although N=2, the

“Anti-CD20 D4 & 7” group seemed to have a reduced % B cells as well (29%). On the other

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70

hand, there was no difference in splenic B cell levels between the NVP group and the antibody-

treated groups.

Effect of B cell depletion on spleen weights and plasma IgE production. The spleen sizes of

the antibody-treated animals were similar to that of the control animals. Animals in the NVP-

treated group had enlarged spleens compared to all other groups (Figure 17). A previous study

reported a spike in IgE observed in NVP-treated animals on Day 7, which returned back to

baseline by day 14 and remained the same throughout the rest of the NVP treatment [61]. The

same trend was observed in both the NVP-treated and “anti-CD20 D4 & 7” group (Figure 18).

Interestingly, the IgE level started to climb on day 4 following NVP treatment in the “anti-CD20

D-7 and 0” group and peaked on day 7 before returned to baseline.

Depleting B cells in splenectomized rats had no effect on the NVP-induced skin rash. The

results of this experiment were the same as the previous one with normal rats: There was a

significant decrease in B cell levels in the peripheral blood and ALNs (data not shown).

However, there was no change in the onset of symptoms, incidence or severity of this NVP-

induced IDR.

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B cell percentage in peripheral blood

0 3 7 14 18 25 28 37

0

20

40

60

1mg/rat

2mg/rat

3mg/rat

Control N=4

Treatment time (days)

% B

cells

Figure 14. Percent of cells stained with CD45RA/B in peripheral blood following anti-

mouse CD20 antibody injections.

Three female BN rats each received a single dose of anti-mouse CD20 antibody on Day 0 (1 mg,

2 mg, and 3 mg, respectively). Four control rats received PBS injections. The control data

represent the average of 4 animals ± SE and each of the other three lines represents one animal.

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B cell levels in peripheral blood

0 5 10 15 20 250

20

40

60

Control

NVP

anti-CD20 (D-7 & 0)

anti-CD20 (D4 & 7)

NVP Treatment time (Days)

% B

cells

Figure 15. Percent of cells stained with CD45RA/B in peripheral blood following anti-

mouse CD20 antibody injections and NVP treatment.

Control groups (N=4) received regular food while all other groups received a NVP diet at a dose

of 150 mg/kg/day starting on Day 0. Group “anti-CD20 D-7 & 0” (N=4) received anti-CD20

antibody injections on days -7 and 0; group “anti-CD20 D4 & 7” (N=2) received the injections

on days 4 and 7. Each injection was 1 mg/rat. Data represent the mean ± STD for group “Anti-

CD20 D4 & 7” and the mean ± SE for all other groups.

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B cell level in various tissues on D22

0

20

40

60

80

Control

NVP

anti-CD20 (D-7 & 0)

anti-CD20 (D4 & 7)

Spleen AuricularLymph Nodes

Blood

*

*% B

cells

Figure 16. B cell levels in the spleen, ALN, and peripheral blood on D22 of NVP treatment.

The control group received regular food while all other groups received a NVP diet at a dose of

150 mg/kg/day starting at day 0. Group “anti-CD20 D-7 & 0” received anti-CD20 antibody

injections on days -7 and 0; group “anti-CD20 D4 & 7” received the same injections on days 4

and 7. Each injection was 1 mg/rat. The data represent the average of 2 animals ± STD for

group “anti-CD20 D4 & 7” and mean of 4 animals ± SE for all other groups. Statistical

significance between cotreatment groups and NVP alone group was determined using the Mann

Whitney test; values of p≤0.05 were considered statistically significant.

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0.0

0.2

0.4

0.6

0.8

ControlN=4

NVPN=4

Anti-CD20(D-7 & 0)

N=4

Anti-CD20(D4 & 7)

N=2

Spleen Weight

Sple

en w

eig

ht (g

)

Figure 17. Spleen weight for selected groups on Day 22 of NVP treatment.

The control group received regular food while all other groups received a NVP diet at a dose of

150 mg/kg/day. Group “anti-CD20 D-7 & 0” received anti-CD20 antibody injections on days -7

and 0; group “anti-CD20 D4 & 7)” received the same injections on days 4 and 7. Each injection

was 1 mg/rat. The data represent the mean ± STD for group “anti-CD20 D4 & 7” and mean ±

SE for all other groups.

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75

Plasma IgE levels

0

500

1000

1500

D-7

D0

D7

D14

D21

ControlN=4

NVPN=4

Anti-CD20(D-7 & 0)

N=4

Anti-CD20(D4 & 7)

N=2

**

* P

lasm

a I

gE

(ng/m

L)

Figure 18. The effect of NVP treatment and anti-mouse CD20 antibody on plasma IgE

levels.

The control group received regular food while all other groups received a NVP diet at a dose of

150 mg/kg/day. Group “anti-CD20 D-7 & 0” received anti-CD20 antibody injections on days -7

and 0; group “anti-CD20 D 4 & 7” received injections on days 4 and 7. Each injection was 1

mg/rat. The data represent the mean ± STD for group “anti-CD20 D4 & 7” and mean ± SE for

all other groups. Statistical significance in IgE levels between baseline and different time points

was determined using the Mann Whitney test; values of p≤0.05 were considered statistically

significant.

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BSO decreased the incidence of NVP-induced skin rash in naïve animals but not in

sensitized animals. In the primary treatment experiments, 2 (out of 4) rats in the BSO-NVP

group developed red ears on day 18, and the other 2 had no symptoms until the end of study (day

21). All animals in the NVP group developed red ears on day 7 and skin rash by day 21. For

rechallenge studies, pre-treatment of BSO for 7 days did not change the time to onset or

incidence of NVP-induced skin rash. All animals rechallenged with NVP developed red ears on

day 1 and skin rash by day 7.

Effect of BSO on NVP metabolism on primary treatment. Figure 19 shows that the plasma

levels of both 12-OH-NVP and the parent drug were significantly lower in the BSO/NVP

cotreatment group compared to that of the NVP group. No significant difference was observed

for 2-OH-NVP and 4-COOH-NVP. 3-OH-NVP was not detectable in either group. It seems

that the protective role of BSO on NVP-induced skin rash was a result of decreased NVP and/or

12-OH-NVP plasma levels; however, how BSO affected NVP metabolism remains unknown.

The urinary excretion of NVP was also lower in the cotreatment group than that of the NVP

group, but there was no difference in any other major metabolites (Figure 20).

Effect of BSO on liver weight and glutathione levels on primary treatment. A decrease in

liver weight and glutathione level was also observed. The increase in liver weight in this study

can be explained by the fact that NVP is a P450 inducer. Compared to the NVP group, there is

less of an increase in liver weight in the BSO-NVP group, which might be a result of glutathione

depletion. The glutathione level in the cotreatment group is lower than that of the NVP and

control groups, but higher than that of the BSO group.

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Figure 19. Plasma levels of NVP and its metabolites in BSO-NVP co-treated or NVP-

treated female BN rats.

NVP was given at 150 mg/kg/day in food and BSO was given at 20 mM/day in tap water with

2% glucose. A) NVP, B) 12-OH-NVP, C) 2-OH-NVP, D) 3-OH-NVP, E) 4-COOH-NVP.

The data represent the mean concentration SE (N=4 for each group).

NVP plasma level

0 7 14 21

0

20

40

60

80

NVP

BSO-NVP

Day

A

g

/mL

12-OH-NVP plasma level

0 7 14 21

0

20

40

60

NVP

BSO-NVP

B

Day

g

/mL

2-OH-NVP plasma level

0 7 14 210

1

2

3

4

5

NVP

BSO-NVP

C

Day

g

/mL

3-OH-NVP plasma level

0 7 14 210.0

0.2

0.4

0.6

0.8

1.0

NVP

BSO-NVP

D

Day

g

/mL

4-COOH-NVP plasma level

0 7 14 210

1

2

3

NVP

BSO-NVP

E

Day

g

/mL

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Figure 20. 24 hours urinary excretion of NVP and its metabolite in BSO-NVP co-treated

and NVP-treated female BN rats.

NVP was given at 150 mg/kg/day in food and BSO was given at 20 mM/day in tap water with

2% glucose. A) NVP, B) 12-OH-NVP, C) 2-OH-NVP, D) 3-OH-NVP, E) 4-COOH-NVP. The

data represent the mean SE (N=4 for each group).

Urinary excretion of NVP in 24 hrs

0 7 14 21

0

500

1000

1500

NVP

BSO-NVP

A

Day

g

/24 h

rsUrinary excretion of 12-OH-NVP in 24hrs

0 7 14 21

0

500

1000

1500

2000

2500

NVP

BSO-NVP

B

Day

g

/24 h

rs

Urinary excretion of 2-OH-NVP in 24hrs

0 7 14 21

0

1000

2000

3000

4000

NVP

BSO-NVP

C

Day

g

/24 h

rs

Urinary excretion of 3-OH-NVP in 24hrs

0 7 14 21

0

500

1000

1500

2000

NVP

BSO-NVP

D

Day

g

/24 h

rs

Urinary excretion of 4-COOH-NVP in 24hrs

0 7 14 21

0

1000

2000

3000

4000

NVP

BSO-NVP

E

Day

g

/24 h

rs

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Liver weight

0

5

10

15

BSO NVP BSO-NVPControl

*

liver

weig

ht (g

)

Total glutathione level

0.0

0.2

0.4

0.6

0.8

1.0

BSO BSO-NVPNVPControl

*

mg/g

wet liv

er

tissue

Figure 21. Liver weights and glutathione levels in the liver of BSO-NVP co-treated or

NVP-treated female BN rats.

NVP was given at 150 mg/kg/day in food and BSO was given at 20 mM/day in tap water with

2% glucose. Tissues were collected at the end of the 21 day treatment. The data represent the

mean SE (N=4 for each group). Statistical significance between the cotreatment group and

NVP group was determined using the Mann Whitney test; values of p≤0.05 were considered

statistically significant.

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80

RA decreased the incidence of NVP-induced skin rash but also decreased the plasma

concentrations of NVP and 12-OH-NVP. The incidence of skin rash in RA-NVP co-treated

animals was lower than that of NVP-treated group in a dose dependent manner (Figure 22.). All

animals in NVP-treated group developed red ears in 7~9 days and skin rash in 2 weeks. Animals

in low dose RA-NVP group had no red ears, but 2 out of 4 rats had redness on some part of the

skin. High dose RA-treated animals experienced no symptoms at all. The protective effect is

dramatic; however, it seems to be a result of the significantly decreased plasma levels of both the

parent drug and the 12-OH metabolite (Figure 23.). There is literature evidence that RA can

induce CYP3A4 [121], which may also be responsible for metabolizing NVP and 12-OH-NVP.

The induction of P450 would accelerate the metabolism of both the parent drug and 12-OH-NVP

and lead to lower plasma levels of both substances.

However, even the compromised plasma levels seemed high enough to induce a skin rash and

therefore this protection may be partially immune-mediated. Two simple ways to test this

hypothesis would be by using a P450 inhibitor (for example, aminobenzotriazole) or

manipulating the drug plasma levels in the cotreatment group by using a higher dose of NVP.

The former involves the co-administration of three substances and can lead to complicated

results. Therefore, I took the second path.

RA is protective in animals with comparable drug plasma levels with that of the NVP-

treated animals. In this experiment, animals in the cotreatment group received an escalating

dose of NVP to compensate the reduction of drug plasma levels caused by the induction of P450

by RA. Even though the drug plasma levels were similar in both groups, the RA-NVP

cotreatment group had a lower incidence (75%) and the onset of the disease in RA-NVP group

was delayed by a minimum of 5 days. The severity of the skin rash and ear redness were also

much milder in all rats that received RA. The Luminex multiplex assay results showed that RA

prevented the increase in many of the pro-inflammatory cytokines, and this suggests that it may

have a regulatory role in NVP-induced skin rash.

Cotreatment with 1-methyl-tryptophan, LPS, imiquimod, and vitamin D. None of these four

substances had any effect on the incidence or severity of NVP-induced skin rash. There was also

no change in the onset of symptoms compared to that of NVP-treated group.

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Figure 22. Effect of RA on the incidence of NVP-induced skin rash.

Female BN rats were co-treated with NVP (150 mg/kg/day in food) and RA at two different

doses with 4 animals in each group for 21 days. A low dose of RA refers to 5 mg/kg/day and a

high does refers to 20 mg/kg/day in oil by oral gavage. NVP group received the standard dose of

NVP and corn oil by oral gavage.

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NVP plasma level

0 5 10 15 20 250

20

40

60

80NVP

RA(low)-NVP

RA(high)-NVP

*

*

**

*

Time of Treatment (Day)

l/

mL

12-OH plasma level

0 5 10 15 20 25

0

10

20

30

40NVP

RA(low)-NVP

RA(high)-NVP

*

* **

*

Time of Treatment (Day)

l/

mL

2-OH plasma level

0 5 10 15 20 25

0

1

2

3NVP

RA(low)-NVP

RA(high)-NVP

Time of Treatment (Day)

l/

mL

Figure 23. Effect of RA on plasma levels of NVP and its metabolites.

Female BN rats were co-treated with NVP (150 mg/kg/day in food) and RA at two different

doses with 4 animals in each group for 21 days. A low dose of RA refers to 5 mg/kg/day and a

high does refers to 20 mg/kg/day in oil by oral gavage. Drug plasma concentrations were

determined by LC-MS. The data represent the mean of 4 animals ± SE. Statistical significance

between cotreatment groups and NVP alone group was determined using the Mann Whitney test;

values of p≤0.05 were considered statistically significant.

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NVP

0 5 10 15 20 25

0

10

20

30

40

50NVP

RA-NVP

Time of Treatment (Day)

l/

mL

12-OH-NVP

0 5 10 15 20 25

0

10

20

30

40NVP

RA-NVP

*

Time of Treatment (Day)

l/

mL

Figure 24. NVP and 12-OH-NVP plasma concentrations in animals that received RA (20

mg/k/day in oil, gavage) and an escalating dose of NVP (started from 15 mg/kg/day and

escalated to 175 mg/kg/day).

Drug plasma concentrations were determined by LC/MS. The data represent the mean of 4

animals ± SE. Statistical significance between RA-NVP group and NVP alone group was

determined using the Mann Whitney test; values of p≤0.05 were considered statistically

significant.

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IFN-

0 5 10 15 20 250

50

100

150

200

NVP

RANVP

Treatment time (day)

pg/m

LIL-13

0 5 10 15 20 250

10

20

30

40

NVP

RANVP

Treatment time (day)

pg/m

L

IL-18

0 5 10 15 20 250

50

100

150

NVP

RA-NVP

Treatment time (day)

pg/m

L

Treatment time (day)

Leptin

0 5 10 15 20 250

500

1000

1500

2000

2500NVP

RANVP

Treatment time (day)

pg/m

L

IL-2

0 5 10 15 20 250

20

40

60

80

100NVP

RANVP

Treatment time (day)

pg/m

L

MCP-1

0 5 10 15 20 250

200

400

600

800

1000

NVP

RA-NVP

Treatment time (day)

pg/m

L

Treatment time (day)

RANTES

0 5 10 15 20 250

2000

4000

6000NVP

RA-NVP

Treatment time (day)

pg/m

L

Treatment time (day)

Figure 25. Plasma concentrations of cytokines/chemokines during a 21-days treatment

course with NVP or RA-NVP determined by a Luminex assay.

Female BN animals in the NVP group received a dose of NVP at 150 mg/kg/day; animals in the

cotreatment group received RA (20 mg/kg/day in oil by gavage) and an escalating dose of NVP

(started from 150 mg/kg/day and escalated to 175 mg/kg/day). The data represent the mean of 4

animals ± SE.

pg

/mL

p

g/m

L

pg

/mL

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4.4. DISCUSSION

B cells have multiple functions in many autoimmune diseases. In addition to acting as precursors

of antibody-producing plasma cells, they also negatively regulate autoimmunity through B10 cell

(B cells that produce IL-10) function and serve as critical adjuvants for CD4+ T-cell activation

[122, 123]. The increase in both the total number of B cells and MHC-II-expressing B cells

suggested their potential involvement in presenting antigens to T helper cells; the presence of

IgE following NVP treatment also suggested a role in antibody production [67]. We employed

an anti-mouse CD20 antibody to deplete B cells in vivo to determine if it could prevent the rash.

It is also possible that B cells are negative regulators or involved in downstream events of this

immune response. If that is the case, the depletion would not prevent the animals from getting a

rash and could make it worse.

The present study showed that this anti-mouse CD20 antibody significantly decreased B cell

levels in the peripheral blood and in ALNs; however, it was not effective in the spleen. A delay

in the onset of red ears was observed in the group that received 2 antibody injections on days 4

and 7 following NVP treatment, and that also corresponds to a lower level of B cells in the blood

and ALNs compared to other groups. These results suggest that B cells may play a role in

initiating or mediating the rash. The finding that the spike of IgE on day 7 in the NVP group

declined to a baseline level by day 14 is the same as what was previously reported [67].

However, the IgE started to increase on day 0 in group “Anti-CD20 D-7 & 0” which received

antibody injections on days -7 and 0; this may be the result of the injection of anti-mouse

antibody because these animals had not been treated with NVP on day 0. The peak on day 7 for

group “Anti-CD20 D-7 & 0” and “Anti-CD20 D4 & 7” is hard to interpret due to the lack of an

isotype antibody serving as a control. We do not know how long and to what level the increase

in IgE caused by anti-CD20 injections are. However, the spike on day 7 may be a combination

of anti-CD20 injection and NVP treatments. In any case, the goal to test IgE levels was to

determine if functions of plasma cells, which are derived from B cells, were reduced by anti-

CD20 injections; however, no difference between NVP group and antibody-injected groups was

observed.

The spleen is the largest lymphoid organ in the body and contains many different immune cells.

The reason that splenic B cell levels were not effectively depleted may be due to the anti-mouse

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nature of the antibody. The antibody may be cleared by phagocytic cells such as macrophages.

As a result, the formation of plasma cells, which occurs in the spleen and lymph nodes, was not

affected. This may explain why we did not observe a significant delay in the onset of red ears. If

we could somehow effectively deplete B cells in the spleen it might result in a longer delay of

onset or change in incidence. Therefore, we decided to perform a study in splenectomized

animals.

The removal of spleen can simply avoid the resistance of splenic B cells to antibody clearance,

but it may also lead to other effects on the immune response. The spleen clears dead red blood

cells and many other old cells. Splenectomy may lead to an accumulation of dead cells, which

could potentially release “danger signals” and in turn accelerate or increase the possibility of

developing IDRs on exposure to NVP. Therefore the effect of splenectomy alone on NVP-

induced IDRs was determined first. The pilot study showed that following NVP treatment, the

ears of splenectomized rats started to turn red on day 5, but it was not obvious until day 7. Such

an effect might be due to the short recovery time (2 weeks), but the severity and all other

symptoms were similar to that of the healthy rats that received NVP. To make sure the B cells

were depleted prior to the development of IDRs, antibody injections were administered on days 1

and 4, although the previous study showed it might have a better effect if given on days 4 and 7.

However, the results showed again that depleting B cells in splenectomized rats had no effect on

either the onset or severity of NVP-induced skin rash.

In summary, depleting B cells using this anti-mouse CD20 antibody did not change the incidence

of NVP-induced skin rash in female BN rats. The depletion was not complete, which might be

due to the fact that it is an anti-mouse antibody and could be cleared in the spleen. However,

even in splenectomized rats, it did not have a significant effect. In contrast, a partial depletion of

CD4+ cells can significantly delay or prevent NVP-induced skin rash [61]. Although the

evidence is not conclusive, it is likely that B cells are not essential for the induction of a skin rash

in our model.

The second modulator tested was BSO. It can irreversibly inhibit gamma-glutamylcysteine

synthetase, and it has been used to deplete glutathione in rats and mice [124]. However,

glutathione depletion inhibits the antigen presenting process and shifts a Th1 immune response

pattern to Th2 [125]; therefore, it might change the incidence or severity of skin rash induced by

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NVP treatment in female BN rats. On the other hand, glutathione protects cells against oxidative

stress, and its depletion may lead to liver toxicity.

The cotreatment of BSO changed the incidence of NVP-induced IDRs in female BN rats;

however, this is likely due to decreased plasma levels of parent drug and metabolites. One study

suggested that BSO can simultaneously induce cytochrome P450 2E1 and alcohol

dehydrogenase in mouse livers [126]. In our case, it might interact with P450 and result in less

metabolism and/or more clearance of NVP which would lead to a decreased covalent binding of

NVP and, therefore, a delayed onset of the disease. There was no difference in urinary excretion

of NVP metabolites that were tested between the BSO-NVP and NVP groups, but the parent

drug excretion was significantly less in the latter group. It is not likely that BSO induced P450

in this case because we did not observe higher plasma levels or urinary excretion of the

metabolites. On the other hand, BSO may have accelerated the clearance of NVP given that the

metabolite excretion levels were similar but that of parent drug was significantly reduced. The

mechanisms by which BSO is protective in NVP-induced skin rash is complicated, and it would

be quite difficult to determine the exact mechanism of its effects.

RA came to our attention originally because of its potential to alter the balance between Th17

cells and Treg cells, and we speculated that it might have an effect on the NVP-induced IDR,

which is mediated by CD4 T cells. However, recent reports showed that RA may have both

positive and negative regulatory roles. With respect to Th17 cells, it may suppress them at

higher concentrations (in vitro) but induce Th17 cells expressing gut-homing receptors at

physiological levels (in vivo)[115, 127, 128]. In the present study, RA seems to inhibit the

production of many pro-inflammatory cytokines. However, at the same time, it might have also

induced P450, which led to reduced drug plasma levels. When the dose of NVP was increased

so that the blood levels of NVP were similar RA appeared to be protective. However, because of

the complex effects of RA on the immune response which would be very difficult to sort out, we

decided not to pursue this further.

The present study attempted to manipulate the NVP-induced skin rash from different angles such

as suppressing the immune system, breaking immune tolerance, and activating the innate

immune system, etc. While most of the modulators do not have any significant effect, the very

few that worked seemed to involve different mechanisms than we expected. Based on the BSO

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and RA experiments in which both reagents seemed to have an impact on the metabolism of

NVP and resulted in lower drug levels in the plasma, one can never conclude the effect of any

modulator on drug-induced adverse reactions without testing its effect on metabolism. Although

it was difficult to find something that has a “clean” effect on the NVP-induced IDR, it is

important to continue to explore such risk factors. Only with an valid animal model will we be

able to vigorously test all these hypotheses and eventually determine what is going on in humans.

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CHAPTER 5

POTENTIAL ACTIVATION OF ANTIGEN PRESENTING

CELLS BY NVP AND/OR ITS METABOLITES

Co-author: Amy Sharma (covalent binding study)

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5.1. INTRODUCTION

One fundamental question in drug-induced IDRs is whether it is the parent drug or the reactive

metabolite that leads to the reaction. In the case of NVP-induced skin rash, we were able to

show that 12-OH-NVP pathway was involved in the induction of skin rash in female BN rats

[59]. The most recent data further confirmed that this was due to the formation of 12-OH-NVP

sulfate in the epidermis, which covalently binds to proteins and induces an immune response [68,

69].

Although we have demonstrated that 12-OH-NVP sulfate causes the rash, we have not studied

how this may activate the immune system. In order to elicit an immune response, the drug may

form a protein adduct by covalent binding, which is then picked up by an APC and presented to

T cells in the presence of co-stimulatory signals. Alternatively, the drug may also directly bind

and activate APC similar to what we saw with the D-penicillamine-induced autoimmune disease

[78, 80]. A recent paper by Kevin Park’s group showed that SMX and its protein-reactive

metabolite, nitroso SMX, can stimulate dendritic cell (DC) co-stimulatory signaling. In

particular, the response of DCs to the nitroso reactive metabolite is much stronger than that to the

parent drug [46]. A similar study was also reported by Reuter et al. where the co-stimulatory

molecule CD86 was found to be upregulated on PBMC-derived DCs in an in vitro model for

allergic contact dermatitis [129]. In our NVP model, the interaction between reactive metabolite

and the APCs has not been studied. We hypothesized that 12-OH-NVP sulfate can directly

activate APCs, and this may lead to the idiosyncratic skin rash caused by NVP in female BN

rats. To test this hypothesis, APCs from different sources were stimulated by 12-OH-NVP

sulfate, 12-OH-NVP and/or the parent drug using the expression of co-stimulatory molecules as

a measure of APC activation.

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5.2. MATERIALS AND METHODS

Chemicals. NVP was kindly supplied by Boehringer-Ingelheim Pharmaceuticals Inc.

(Ridgefield, CT). The synthesis of 12-OH-NVP, 12-OH-NVP sulfate, and preparation of NVP

antiserum were described previously [59, 98, 130, 131]. D-penicillamine was purchased from

Richman Chemical Inc. (Lower Gwynedd, PA). RPMI 1640 medium, dulbecco's modification of

Eagle's medium (DMEM) high glucose medium, PBS (pH 7.4), FBS, penicillin and streptomycin

concentrated solution, 2-ME, and normal goat serum were purchased from Invitrogen Canada,

Inc. (Burlington, ON, Canada). Microvette EDTA-coated tubes for blood samples were

purchased from Sarstedt (Montreal, QC, Canada). Isoniazid, RIPA buffer, DMSO, indomethacin,

PMA, inomycin, ammonium chloride (NH4Cl), LPS, potassium bicarbonate (KHCO3), EDTA,

horseradish peroxidise-conjugated goat antirabbit IgG (H + L chains), and dextran were

purchased from Sigma-Aldrich (Oakville, ON, Canada). Anti-rat CD4 allophycocyanin, anti-rat

CD25 PE, anti-rat CD80 PE, anti-rat CD86 FITC, anti-rat MHC II PE, anti-rat CD161 FITC,

anti-rat pan-macrophage PE, anti-rat αβ-TCR peridinin chlorophyll protein complex (PerCP),

anti-rat rat recombinant IL-4, and GM-CSF were purchased from Cedarlane (Mississauga, ON,

Canada). FITC hamster anti-mouse CD40, anti-rat CD32, and anti-mouse CD16/CD32

antibodies were purchased from BD Pharmingen (Mississauga, ON, Canada). Anti-human Fc

binding receptor, anti-human CD40 FITC, anti-human CD80 PE, anti-human MHC II antibody

conjugated with R-Phycoerythrin-Cyanine dye 7 (PE-Cy7), anti-human CD86 conjugated with

allophycocyanin, anti-mouse CD80 PE, and anti-mouse CD86 allophycocyanin antibodies were

purchased from eBioscience (San Diego, CA, USA). SDS and Tween-20 were obtained from

BioShop (Burlington, ON). Stock acrylamide/bis solution, nonfat blotting grade milk powder,

and nitrocellulose membranes were purchased from BioRad (Hercules, CA). Amersham

enhanced chemiluminescence (ECL) Plus Western Blotting Detection System was obtained from

GE Healthcare (Oakville, ON). Protein concentrations were determined using a bicinchoninic

acid (BCA) protein assay kit (Novagen, EMD Biosciences Inc.).

Animal Care. Female BN rats (150-175 g) were purchased from Charles River (Montreal, QC)

and housed in pairs in standard cages with free access to water and Agribrands powered lab

chow diet (Leis Pet Distributing Inc, Wellesley, ON). The animal room was maintained at 22 o C

with a 12:12 hour light:dark cycle. Rats were killed by CO2 asphyxiation. All of the animal

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studies were conducted in accordance with the guidelines of the Canadian Council on Animal

Care and approved by University of Toronto’s Animal Care Committee.

Studies of Potential Activation of Freshly Isolated Cells from Naïve Rats and PBMC

Monocyte-derived DCs by NVP and Its Metabolites. The first study was to test the response

of cells isolated fresh from PBMCs, ALNs, and the spleen of a naïve female BN animal to NVP

and the metabolites. However, even the positive control, LPS, a strong stimulant of APCs, did

not induce significant changes in the markers that were tested. A possible explanation is that

these tissues have diverse cell populations, and the APC abundance might not be high enough to

detect any changes. However, even when APCs from ALNs were concentrated using magnetic

beads (APCs MACS cell separation kit, Miltenyi Biotec), no upregulation of any markers was

observed, but a significant decrease in MHC II expression was observed (shown in Appendix 1).

The second attempt was to derive DCs from PBMCs isolated fresh from naïve animals using the

method described by Kevin Park’s group [46]. Although this seems to be the “standard”

approach for studies involving human cells, it was not practical for rat studies because the yield

of cells is too low.

General Procedures for Direct Activation of APCs by NVP and Its Metabolites. NVP, 12-

OH-NVP, and 12-OH-NVP sulfate were dissolved in 0.5% DMSO at various concentrations: 1.0,

2.0, 3.9, 7.8, 15.6, 31.3, 62.5, and 125 µg/mL. APCs from different sources were populated at a

concentration of 1 million/mL (unless specified) in complete medium and incubated with drugs

at 37 o C, 5% of CO2 for 24 hours. At the end of the culture period, expression of co-stimulatory

molecules CD40, CD80, CD86, and MHC II on these cells were tested by flow cytometry.

Direct Activation of RAW264.7 Cells by NVP and Its Metabolites: The RAW 264.7 cell line

was purchased from American Tissue Culture Collection (ATCC, Manassas, VA, USA) and

maintained according to the manufacturer’s instruction. The day before the APC activation

experiment, the cells were seeded at 0.5 million/mL in a 24-well plate overnight in DMEM high

glucose medium containing 10% FBS and antibiotics, allowing the cells to adhere to the culture

plate. The next morning, non-adherent cells were washed off and fresh culture medium

containing various concentrations of 12-OH-NVP sulfate, 12-OH-NVP, or NVP were added.

After 24 hours of stimulation, the cells were harvested and surface markers were tested by flow

cytometry.

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Direct Activation of APCs by NVP and Its Metabolites: THP-1 Cells. The THP-1 cell line

were purchased from ATCC (Manassas, VA, USA) and maintained according to the

manufacturer’s instruction. The procedures for stimulating THP-1 cells were the same as

stimulating RAW264.7 cells except that RPMI1640 medium was used.

Direct Activation of APCs by NVP and Its Metabolites: Bone Marrow-Derived Dendritic

Cells (BMDCs). The complete culture medium used to generate BMDCs (referred as the

“complete medium” hereafter) was prepared as follows: RPMI 1640 medium was supplemented

with 10% heat-inactivated FBS, 100 U/mL penicillin, 100 µg/mL streptomycin, 50 µM 2-ME, 5

ng/mL recombinant rat GM-CSF, and 5 ng/mL IL-4.

Bone marrow was prepared from the femur bones of naïve female BN rats. The bones were

placed in a 100-mm dish and washed with 70% alcohol for 2 minutes. After removing the

remaining muscle tissue, they were transferred into a new dish with RPMI medium. Both ends

of the bones were cut and the bone marrow was flushed out with a syringe and a 25-gauge needle

using 10 mL of RPMI medium. The cells were passed through two 40 µm cell strainers and

centrifuged at 350 g. To derive DCs from the bone marrow cells, the cell pellet was resuspended

in 10 mL of the complete medium and plated on 100-mm petri dishes at a density of 5 X 105

cells/mL. On day 3, 10 mL of freshly prepared complete medium was added to the culture. On

day 6, the supernatant was removed, and 10 mL of freshly prepared complete medium was

added. On day 8 or 9, the cells were harvested by scraping the plate and resuspended at a

concentration of 5 X 105 cells/mL. The single cell suspension was then seeded at 1 mL per well

in a 24-well tissue culture plate and incubated with various concentrations of NVP, 12-OH-NVP,

or 12-OH-NVP sulfate. The cells incubated with LPS served as positive control whereas the

DMSO-treated cells were used as negative control.

Covalent Binding of NVP and Its Metabolites to BMDCs. To determine if 12-OH-NVP and/or

its sulfate covalently bind to the BMDCs, incubations of these compounds as well as NVP, or

DMSO was incubated with BMDCs. Immature BMDCs were harvested on day 8 and

resuspended at a concentration of 1x106 cells/mL and a total of 10 x10

6 cells were used for each

incubation. The concentration of NVP and its metabolites in the incubations was 62.5 µg/mL,

the incubation time was 24 or 72 hours at 37 o

C in 5% CO2. After incubation, the cells were

lysed using RIPA buffer, and the proteins were pelleted. The protein concentration was

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determined by a BCA protein assay kit (Novagen, EMD Biosciences Inc., Mississauga, ON), and

the proteins were loaded on a sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-

PAGE) gel at a concentration of 40 µg/lane for 24 hours samples and 35 µg /lane for 72 hours

samples. SDS-PAGE and western blotting procedures were described previously by Amy

Sharma[69]. Specifically, SDS-PAGE gels were hand-cast (stacking gel, 5% bisacrylamide;

resolving gel, 8% bisacrylamide) and run at ~110 V. Electrophoresis running buffer (BioRad,

Mississauga, ON) consisted of 25 mM Tris, 192 mM glycine, and 0.1% SDS, pH 8.3. Transfer to

nitrocellulose membrane (pore size 0.2 µM, BioRad) was performed at 0.13 mA for 90 minutes

at 4 ºC using Protean-3 minigel system (BioRad). Tris-glycine transfer buffer consisted of 25

mM Tris, 192 mM glycine, and 20% methanol at pH 8.5. Membranes were washed twice in

Tris-buffered saline Tween-20 (TBST) wash solution for 5 minutes. Membranes were then

blocked in 5% nonfat milk blocking solution in TBST for 90 minutes at room temperature and

washed with three changes of TBST for 5 minutes each. A 1:500 dilution of the primary anti-

NVP antiserum and 10% normal goat serum in TBST was added to the membranes and

incubated overnight at 4 ºC. After a 20 minute wash on the next day, the membranes were

incubated with a secondary goat anti-rabbit horseradish peroxidase antiserum (1:2000) for 90

minutes. Blots were washed 3 times with TBST and incubated with enhanced

chemiluminescence stain for 5 minutes and imaged for 3 minutes using a FluroChem CCD

imager.

Activation of APCs by D-penicillamine and Isoniazid. BMDCs generated by the procedures

described above or RAW264.7 cells were stimulated with D-penicillamine or isoniazid at various

concentrations for 24 hours: 0.1, 0.4, 1.2, 3.6, 11, 33, 100, and 300 µg/mL, and the expression of

surface markers was determined by flow cytometry. D-penicillamine and isoniazid were shown

to activate RAW264.7 cells by binding the aldehyde groups on RAW264.7 cells, and therefore it

should be possible to use them as positive controls in this study [132, 133].

T Cell Activation Assay.

1. Naïve T Cell Isolation. Autologous T cells were isolated from the spleen and ALNs of female

BN rats. Naïve T cells were isolated by negative selection using a CD4+ T cell isolation kit

followed by a positive selection of CD25+ cells (Miltenyi Biotec, Anburn, CA, USA). The bead

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isolation procedures were carried out according to the manufacturer’s instructions. The

phenotype of the isolated cells was determined by flow cytometry using anti-rat CD4 APC and

anti-rat CD25 PE antibodies. Isolated naïve T cells were resuspended in RPMI 1640 medium

(supplemented with 10% FBS and antibiotics) at 10-20 X 106 cells/mL, and then an equal

volume of FBS containing 20% DMSO was added to the cell suspension dropwise on ice. The

cells were stored at -80 o

C until use.

2. T Cell Co-culture with BMDCs. Immature DCs were harvested on day 8 of differentiation

from bone marrow cells and resuspended at a concentration of 4 X 105

cells/mL. These cells

were seeded at 500 µL per well in 24-well plates. Naïve T cells were thawed, and the RPMI

1640 medium was added dropwise to make 10 times the initial volume. After washing, cells

were resuspended at 2 X 106

cells/mL and added to BMDCs at 1 mL per well. 10 µL of the stock

solutions of NVP, 12-OH-NVP, or 12-OH-NVP sulfate (12.5 mg/mL dissolved in DMSO) were

diluted with 490 µL of cell culture medium and then added to the T cell/BMDCs mixture

resulting in a final drug concentration of 62.5 µg/mL and a total culture volume of 2 mL. The

mixture was incubated for 7-8 days at 37 o C in a 5% CO2 atmosphere.

3. Carboxyfluorescein Succinimidyl Ester (CFSE) Staining and T Cell Restimulation. After

the co-culture period, the cells were labeled with CFSE and re-stimulated before T cell

proliferation was assessed. Specifically, the stimulated T cell/APC mixtures were harvested and

CFSE staining was carried out according to the manufacturer’s instructions (Invitrogen, Canada).

The cells were then resuspended in 1 mL of medium, and 100 µL was aliquoted to 96-well

plates. Another batch of immature BMDCs prepared in advance were resuspended at 4 X 105

cells/mL and added to the T cell/APC cell mixture at a volume of 50 µL per well. Various

concentrations of NVP, 12-OH-NVP, and 12-OH-NVP sulfate diluted in 50 µL of medium were

added to the culture and incubated for 72 hours at 37 oC in a 5% CO2 atmosphere.

PMA/Inomycin-stimulated cells were used as a positive control. At the end of restimulation

period, the proliferation of T cells was tested using flow cytometry. Specifically, anti-rat αβ-

TCR+ antibody was used to label the T cells, and the proliferation was measured by the reduction

in CFSE staining.

Flow Cytometry. A PBS buffer containing 3% FBS was used as the medium for flow

cytometry. Cells were first incubated with an antibody against the Fc binding receptor for 10

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96

minutes at room temperature to reduce nonspecific binding. After that, monoclonal antibodies or

suitable isotype controls were aliquoted to the appropriate wells and incubated at room

temperature for 20 minutes. The cells were washed twice and finally resuspended in 200 µL of

the same buffer. Samples were processed immediately with a FACS Canto II flow cytometer

(BD Biosciences) with CellQuest software. FlowJo (Tree Star, Inc., Ashland, OR) was used to

analyze the samples.

ELISA. Rat ELISA kits for IL-1β, IL-12p40, and TNF-α were purchased from R&D system

(Minneapolis, MN). Experiments were performed following the manufacturer’s instructions.

Stability of 12-OH-NVP Sulfate. The sulfate of 12-OH-NVP was synthesized as described by

Chen et al. [59]. The stability of 12-OH-NVP sulfate was determined by high-performance liquid

chromatography (HPLC) (SHIMADZU LC-10AS). The column was an Ultracarb 100X2 mm, 5

micron, ODS(30), and the mobile phase consisted of 12% acetonitrile in aqueous 2 mM

ammonium acetate/1% acetic acid with a pH of 3.7 and a flow rate of 0.4 mL/minutes. To test

the stability in cell culture, immature BMDCs harvested on day 8 of differentiation were

stimulated with 62.5 µg/mL of 12-OH-NVP sulfate. Aliquots of supernatant were diluted 10X

with the mobile phase and analyzed with HPLC at various time points. A parallel experiment

was also carried out to determine the stability of the sulfate in the culture medium in the absence

of cells. In both studies, 12-OH-NVP was used for a control incubation to represent complete

hydrolysis.

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97

5.3. RESULTS

Activation of RAW264.7 Cells by NVP and Its Metabolites. Examples of the flow cytometry

dot plots and a histogram are shown in Figure 26. The dot plots showed that there was an

increased expression of CD40 on the 12-OH-NVP sulfate-treated cells compared to that of the

DMSO vehicle control cells (65.4% versus 15.9%). The histogram also showed that the mean

fluorescence intensity (MFI) was greater for the 12-OH-NVP sulfate-treated cells than for the

DMSO control cells. The dose response curves in Figure 27 showed that both the percentage of

CD40-expressing cells and the expression level per cell (measured by MFI) increased with

increasing drug concentrations. Among the three substances, 12-OH-NVP seemed to better

activate RAW 264.7 cells at the concentrations of 32 and 64 ug/mL compared to NVP and 12-

OH-NVP sulfate.

One problem with RAW 264.7 cells was that the baseline levels of activation markers increased

throughout the experiments (Figure 28). This was independent of the solvent because even in the

absence of DMSO, the cells express higher levels of CD40 at higher passages (results not

shown). There is literature evidence that over-passaged cells may exhibit reduced or altered

functions as a result of “selective pressures and genetic drift”, and therefore they no longer

represent reliable models of their original source material [134].

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98

A. B.

C. D.

E.

Figure 26. Expression of CD40 on RAW 264.7 cells after a 24 hours stimulation with 12-

OH-NVP sulfate.

A) unstained cells, B) cells incubated with 0.5% DMSO and stained with CD40 antibody as a

negative control, C) cells incubated with 125 µg/mL 12-OH-NVP sulfate in 0.5% DMSO and

stained with CD40 antibody, D) cells incubated with 2 µg/mL LPS as a positive control, E)

Histogram of CD40 expression: grey (unstained control), blue (DMSO negative control), red

(125 µg/mL 12-OH-NVP sulfate), green (LPS positive control).

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99

A.

0

20

40

60

80

**

**

**

**

**

NVP 12-OH-NVP 12-OH-NVP

Sulfate

1 2 4 816

32 64

125 1 2 4 8

16

32 64

125 1 2 4 8

16

32 64

125

Drug Concentration (g/mL)

% C

D40

+C

ells

B.

0

5000

10000

15000

**

***

NVP 12-OH-NVP 12-OH-NVP Sulfate

1 2 4 816

32 64

125 1 2 4 8

16

32 64

125 1 2 4 8

16

32 64

125

Drug Concentration (g/mL)

CD

40 M

FI

Figure 27. Expression of CD40 on RAW264.7 cells in response to various concentrations of

NVP, 12-OH-NVP, or its sulfate metabolite expressed in two different ways.

A) percent CD40 positive cells; B) the number of CD40 molecules on cells as measured by MFI.

The data represent the mean ± SE of 4 experiments. Unpaired t test, p < 0.05. The control (solid

lines) represent cells treated with 0.5% DMSO (N=4).

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100

Figure 28. Precent CD40 positive cells in “aging” RAW264.7 cells.

The data represent the average of 2 experiments. Cells were treated with 0.5% DMSO for 24

hours.

dmso effect

8 10 12 14 160

10

20

30

40

50

Cell Passage

% C

D40

+C

ells

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101

Activation of THP-1 cells by NVP and Its Metabolites. There was an increase in percentage

of cells that express CD86 with increasing concentrations of all three drugs. Surprisingly, the

MFI of MHC II expression decreased when the concentration of all three substances increased.

No significant change was observed for CD40 and CD80 expression (Figure 30).

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102

CD80 CD86 CD40 MHC II

Fluorescence Intensity

Figure 29. Representative dot plots and histograms of surface marker staining of THP-1

cells stimulated by various substances.

Un

stai

n

DM

SO

N

VP

(6

2.5

µg

/mL

) L

PS

Count

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103

A. B.

0.0

0.5

1.0

1.5

NVP 12-OH-NVP 12-OH-NVP

Sulfate

1 2 4 816

32 64

125 1 2 4 8

16

32 64

125 1 2 4 8

16

32 64

125

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

CD

40

MF

I

0.0

0.5

1.0

1.5

NVP 12-OH-NVP 12-OH-NVP Sulfate

1 2 4 816

32 64

125 1 2 4 8

16

32 64

125 1 2 4 8

16

32 64

125

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

MH

C I

I M

FI

C. D.

0.0

0.5

1.0

1.5

NVP 12-OH-NVP 12-OH-NVP Sulfate

1 2 4 816

32 64

125 1 2 4 8

16

32 64

125 1 2 4 8

16

32 64

125

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

% o

f C

D8

0 c

ell

s

0.0

0.5

1.0

1.5

* *

*

*

* *

**

*

*

**

*** *

**

NVP 12-OH-NVP 12-OH-NVP

Sulfate

*

1 2 4 816

32 64

125 1 2 4 8

16

32 64

125 1 2 4 8

16

32 64

125

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

% o

f C

D8

6 c

ell

s

Figure 30. Change in cell surface marker expression on THP-1 cells in response to NVP or

its metabolites.

Cells incubated with 0.5% of DMSO were used as the baseline (the dash lines). Data represent

the ratio of treated versus DMSO control samples for various surface marker expression. A) the

intensity of CD40 expression measured by MFI, B) the intensity of MHC II expression

measured by MFI, C) percent CD80+

cells, D) percent CD86+

cells. The data represent the

average of 3 experiments ± SE. Unpaired t test, p < 0.05.

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104

Activation of BMDCs by NVP and Its Metabolites.

1. Phenotype of BM-derived Cells. Figure 31. shows that the majority (>90%) of bone

marrow-derived cells express CD11c, which suggests that they are DCs. The presence of other

cell types, such as granulocytes and nature killer cells (CD161+), macrophages (pan-

macrophage), and T cells (αβ-TCR) were minimum with percentages less than <0.5%, <5%, and

<2%, respectively.

2. Change in Cell Surface Marker Expression. The dose-response curve (Figure 33) shows

that CD40 was significantly upregulated with an increasing concentration of all three substances

with 12-OH-NVP being the most potent. On the other hand, MHC II was down regulated with

increasing drug concentration; the same trend was also observed for CD80.

The production of several cytokines by BMDCs was measured by ELISA. Figure 34 shows that

there may be a small increase in IL-12p40 and TNF-α levels at higher concentrations of all three

substances; however, the differences were not statistically significant.

3. Covalent Binding of NVP and Its Metabolites to BMDCs (Western Blot By Amy

Sharma). In order to determine the mechanism of the effect of 12-OH-NVP on BMDCs, we

investigated the covalent binding of these substances to BMDCs. Figure 35 showed that at both

24 and 72 hours, the sulfate metabolite binds strongly to proteins extracted from BMDCs; there

was also a bit of binding with 12-OH-NVP. No binding was observed for NVP and DMSO

samples.

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105

MH

C I

I

A.

CD11c

B. C. D.

Figure 31. Phenotype of bone marrow-derived cells.

Bone marrow cells were differentiated in the presence of 5 ng/mL recombinant rat GM-CSF and

5 ng/mL IL-4 for 6 – 8 days before use. A) cells stained with MHC II and CD11c antibodies

(blue dots) versus unstained cells (red dots), B) cells stained with CD161 antibody, C) cells

stained with pan-macrophage antibody, D) cells stained with αβ-TCR antibody.

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106

CD80 CD86 CD40 MHC II

Fluorescence Intensity

Figure 32. Representative dot plots and histograms of surface marker staining on BMDCs

stimulated by various substances.

Un

stai

n

DM

SO

S

ulf

ate

(62

.5 µ

g/m

L)

LP

S

Count

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107

A. B. Relative MFI of CD40 (all studies N=6)

0.0

0.5

1.0

1.5

2.0

* *

**

*

*

**

*

*

**

*

*

*

NVP 12-OH-NVP 12-OH-NVP

Sulfate

1 2 4 816

32 64

125 1 2 4 8

16

32 64

125 1 2 4 8

16

32 64

125

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

CD

40

MF

I

0.5

1.0

1.5

NVP 12-OH-NVP 12-OH-NVP Sulfate

1 2 4 816

32 64

125 1 2 4 8

16

32 64

125 1 2 4 8

16

32 64

125

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

MH

C I

I M

FI

C. D.

0.0

0.5

1.0

1.5

NVP 12-OH-NVP 12-OH-NVP Sulfate

1 2 4 816

32 64

125 1 2 4 8

16

32 64

125 1 2 4 8

16

32 64

125

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

% C

D8

0 c

ell

s

0.0

0.5

1.0

1.5

NVP 12-OH-NVP 12-OH-NVP

Sulfate

1 2 4 816

32 64

125 1 2 4 8

16

32 64

125 1 2 4 8

16

32 64

125

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

% C

D8

6 c

ell

s

Figure 33. Change in cell surface marker expression on BDMCs in response to NVP or its

metabolites.

Cells incubated with 0.5% of DMSO was used for the baseline (the dash lines). Data represent

the ratio of treated versus DMSO control samples for various surface marker expression. A) the

intensity of CD40 expression measured by MFI (N=6), B) the intensity of MHC II expression

measured by MFI (N=3), C) percent CD80 positive cells (N=3), D) percent CD86 positive cells

(N=3). The data represent the average ± SE. Unpaired t test, p < 0.05.

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108

A.

0

10

20

30

40

NVP 12-OH-NVP 12-OH-NVP Sulfate

1 2 4 8 16

32 64

1250 1 2 4 8 16

32 64

1250 1 2 4 8 16

32 64

1250

Drug Concentration (g/mL)

pg/m

L

B.

0

100

200

300

NVP 12-OH-NVP 12-OH-NVP Sulfate

1 2 4 8 16

32 64

1250 1 2 4 8 16

32 64

1250 1 2 4 8 16

32 64

1250

NVP

12-OH-NVP

12-Sulphate-NVP

Drug Concentration (g/mL)

pg/m

L

C. TNF-

0

50

100

150

NVP 12-OH-NVP 12-OH-NVP Sulfate

1 2 4 8 16

32 64

1250 1 2 4 8 16

32 64

1250 1 2 4 8 16

32 64

1250

NVP

12-OH-NVP

12-Sulphate-NVP

Drug Concentration (g/mL)

pg/m

L

Figure 34. Cytokine production by drug-stimulated BMDCs at the end of a 24 hour

incubation.

The data represent the average ± SE of 5 experiments. A) IL-1β, B) IL-12 p40, C) TNF-α.

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109

Figure 35. Covalent binding of DMSO, NVP, 12-OH-NVP, and its sulfate to BMDCs after

a 24 or 72 hour incubation.

62.5 µg/mL of each of the three substances in 0.5% DMSO were incubated with 10 million

BMDCs. Immature BMDCs were generated from naïve female BN rats and harvested on day 8

of differentiation. 40 µg/lane for 24 hour samples and 35 µg/lane for 72 hour samples were

loaded.

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110

BMDCs and RAW264.7 Cells Stimulated by D-penicillamine or Isoniazid. D-penicillamine

and isoniazid can activate macrophages by direct binding to the aldehyde groups on the cell

surface; therefore, they may serve as “positive control” drugs for the experiment. Figure 36

shows that the level of CD80 expression on BMDCs increased at the highest concentration of D-

penicillamine but not with isoniazid. The level of CD40 expression is lower than that of the

control at all concentrations. In the parallel experiment where RAW264.7 cells were used, MHC

II was upregulated with an increasing concentration of D-penicillamine but not with isoniazid

(Figure 37). That was also the only change observed.

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111

A. B.

0.0

0.5

1.0

1.5

D-penicillamine Isoniazid

0.4

1.2

3.7 11

33

100

300

0.1

0.4

1.2

3.7 11

33

100

300

0.1

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

CD

40

M

FI

0.0

0.5

1.0

1.5

D-penicillamine Isoniazid

0.4

1.2

3.7 11

33

100

300

0.1

0.4

1.2

3.7 11

33

100

300

0.1

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

MH

C II

M

FI

C. D.

0.0

0.5

1.0

1.5

*

D-penicillamine Isoniazid

0.4

1.2

3.7 11

33

100

300

0.1

0.4

1.2

3.7 11

33

100

300

0.1

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

% C

D8

0 c

ell

s

0.0

0.5

1.0

1.5

D-penicillamine Isoniazid

0.4

1.2

3.7 11

33

100

300

0.1

0.4

1.2

3.7 11

33

100

300

0.1

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

% C

D8

6 c

ell

s

Figure 36. Change in cell surface marker expression on BMDCs in response to D-

penicillamine or isoniazid.

Data represent the ratio of treated versus control samples in various surface marker expressions.

Cells without the addition of any substance were used as control (the dash line). A) the intensity

of CD40 expression measured by MFI, B) the intensity of MHC II expression measured by MFI,

C) percent CD80+ cells, D) percent CD86

+ cells. The data represent the average of 3

experiments ± SE. Unpaired t test, p < 0.05.

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112

A. B.

0.0

0.5

1.0

1.5

D-penicillamine Isoniazid

0.4

1.2

3.7 11

33

100

300

0.1

0.4

1.2

3.7 11

33

100

300

0.1

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

CD

40

M

FI

0.0

0.5

1.0

1.5

2.0

D-penicillamine Isoniazid

* *

* *

0.4

1.2

3.7 11

33

100

300

0.1

0.4

1.2

3.7 11

33

100

300

0.1

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

MH

C I

I M

FI

C. D.

0.0

0.5

1.0

1.5

D-penicillamine Isoniazid

0.4

1.2

3.7 11

33

100

300

0.1

0.4

1.2

3.7 11

33

100

300

0.1

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

% C

D8

0 c

ell

s

0.0

0.5

1.0

1.5

D-penicillamine Isoniazid

0.4

1.2

3.7 11

33

100

300

0.1

0.4

1.2

3.7 11

33

100

300

0.1

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

% C

D8

6 c

ell

s

Figure 37. Change in cell surface marker expression on RAW264.7 cells in response to D-

penicillamine or isoniazid.

Data represent the ratio of treated versus controlsamples in various surface marker expressions.

Cells without the addition of any substance were used as baselines (the dash lines). A) the

intensity of CD40 expression measured by MFI, B) the intensity of MHC II expression measured

by MFI, C) percent CD80 cells, D) percent CD86 cells. The data represent the average of 3

experiments ± SE. Unpaired t test, p < 0.05.

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113

T Cell Activation Assay.

1. Confirmation of the of Naïve T Cell Phenotype. Although the direct effects that we detected

on APCs were minimal, NVP or its metabolites might have an effect on their ability to activate T

cells. In this study, naïve T cells were used instead of total CD4+ T cells because the latter

contains natural FoxP3+ Treg cells resulting in a weaker response [135]. Figure 38 shows that

the purity of isolated CD4+CD25

- cells was about 92%.

2. T Cell Proliferation Measured by CFSE Staining. Figure 39 shows sample dot plots of the

CFSE staining of αβ-TCR+ cells in the cell culture and the corresponding dose response curve.

The results suggest that there was no difference in proliferation between drug-stimulated T cells

and the DMSO-treated control cells (the dashed lines).

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114

A. B.

Figure 38. Phenotype of CD4+CD25

- cells isolated from the spleen and ALNs of naïve

female BN rats using magnetic beads and column.

A) unstained control sample, B) isolated cells stained with anti-rat CD4 and CD25 antibodies. C

D25

CD4 Unstained

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115

A. B.

CFSE

C. D.

CFSE

E.

0.5 1 2 4 8 16 32 64 1280

1

2

3

4

NVP

12-OH-NVP

12-OH-NVP Sulfate

Drug Concentration (g/mL)

% p

roli

fera

ting c

ell

s

Figure 39. Proliferation of αβ-TCR+ cells measured by CFSE staining.

T cells were re-stimulated by BMDCs in the presence of NVP or its metabolites and stained with

αβ-TCR+ antibody. A) unstained control (no CFSE), B) DMSO control cells stained with

CFSE, C) 12-OH-NVP sulfate (62.5 µg/mL) stimulated cells stained with CFSE, D)

PMA/inomycin stimulated cells stained with CFSE, E) Percent of αβ-TCR+ cells that

proliferated as a function of drug concentration (dashed line represents the DMSO control). The

data represent the average of 3 experiments ± SE.

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116

Stability of 12-OH-NVP Sulfate. The stability of 12-OH-NVP sulfate was determined using

HPLC. Figure 40 showed two representative chromatographs of 12-OH-NVP and its sulfate

after 24 hours of incubation with BMDCs. The retention time was 6 minutes for the sulfate and

10 minutes for 12-OH-NVP. At 24 hours, there was no detectable 12-OH-NVP formation in the

sulfate sample (A) and no detectable sulfate formation in the 12-OH-NVP sample (B).

To quantify the amount of 12-OH-NVP and its sulfate in the cell culture system, the area under

the curve (AUC) of the corresponding peak on the chromatograph was used. Figure 41 showed

the AUC of the 12-OH-NVP sulfate in cell culture (B) and medium only (A) over time. Both

showed that there was no significant change in AUC of 12-OH-NVP and the sulfate over time

regardless of the presence of BMDCs.

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117

A.

B.

B.

Figure 40. Chromatographs of (A) 12-OH-NVP sulfate and (B) 12-OH-NVP after a 24

hour incubation with immature BMDCs generated from naïve female BN rats.

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118

A.

B.

Figure 41. Quantification of 12-OH-NVP sulfate in cell culture medium in the presence or

absence of BDMCs over time.

(A) Change of AUC of 12-OH-NVP sulfate or 12-OH-NVP peaks when incubated with cell

culture medium over 8 days, (B) AUC of 12-OH-NVP sulfate or 12-OH-NVP peaks when

incubated with BMDCs for 24 hours. Each line in the above two figures represent one

incubation sample with either the sulfate or the hydroxyl metabolite.

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5.4. DISCUSSION

In this study, we investigated the response of three types of APCs originating from three

different species to NVP and/or its metabolites. Specifically, RAW264.7 cells are a mouse

macrophage cell line with a BALB/c background. Previous studies from our lab showed that

they can be activated by D-penicillamine, isoniazid, and hydralazine [78, 80]. Although we do

not have a mouse model for NVP-induced skin rash because they do not have the required

sulfotransferase in the skin, the initial steps of activation of APCs may be the same. The use of

BMDCs generated from female BN rats may be the best cell type to vigorously test our

hypotheses given that the animal model was developed in these animals. However, it was also

desirable to test a human cell line; therefore, THP-1 cells were also studied. THP-1 is a human

acute monocytic leukemia cell line, which has been used as a DC surrogate to study the

maturation of DCs and their role in protein haptenation [136]. Given the origin of this cell line,

it may better represent what occurs in humans.

A surprising finding was that 12-OH-NVP appeared to have greater activity than 12-OH-NVP

sulfate even though we know that formation of the sulfate is required for the induction of the

skin rash, and even NVP had some activity. Different cells responded differently; specifically, an

upregulation of CD40 was observed with RAW264.7 cells and BMDCs but not with THP-1

cells; the latter had an upregulation of CD86 instead. Despite the fact that different surface

molecules were changed with different cell types, all three: NVP, 12-OH-NVP, and 12-OH-NVP

sulfate, appeared to activate APCs to some degree.

One interesting observation was the significant decrease of MHC II expression level in both

BMDCs and THP-1 cells. First it seemed strange because the upregulation of MHC II was

expected to be a marker of APC activation; however, there are studies that suggest that at early

time points, the internalization of surface MHC II after antigen exposure indicates antigen

processing [132, 133, 137].

D-penicillamine and isoniazid were used as “positive control” comparator drugs because they

were reported to induce a production of IL-6 and other cytokines by RAW264.7 cells in previous

studies [80]. From these studies it appears that only D-penicillamine induced an upregulation of

surface markers regardless of the cell type.

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The fact that 12-OH-NVP activated APCs more than the sulfate contradicts the hypothesis that it

is the chemical reactivity of the sulfate metabolite that is responsible for APC activation. What

is more important than upregulation of surface markers is the ability of the APCs to active T

cells. Other studies with SMX found that it was the reactive metabolite that led to T cell

proliferation and cytokine production [138]. However, we were not able to detect T cell

proliferation in our studies.

The observation that 12-OH-NVP appeared to have greater activity than 12-OH-NVP sulfate

raises the question of whether APCs can metabolize NVP or 12-OH-NVP. From the literature,

gene expression of metabolic enzymes (cytochromes P450 and sulfotransferase) in THP-1 cells

is very low or non-detectable [139, 140]; there is little data for rat BMDCs. However, peripheral

blood-derived DCs (mostly human) were shown to express the majority of cytochromes P450,

myeloperoxidase, and cyclooxygenases, and the inhibition of these enzymes abrogated the

increase in co-stimulatory molecule expression and decreased the level of drug-protein adduct

formation [46, 141-143]. Therefore, it appears that biotransformation of the parent drug and/or

metabolites could contribute to the observed dose-response pattern. In addition, we found that

nearly half of the 12-OH-NVP sulfate was hydrolyzed back to its hydroxyl form in the first half

hour following in vivo administration (Maria Novalen’s thesis, 2010). Therefore, another

possible explanation for the lack of response for sulfate could be that most of it was hydrolyzed

back to 12-OH-NVP during the incubation. However, the stability test showed that there was no

detectable 12-OH-NVP formation in the sulfate samples, nor was sulfate found in the incubations

with 12-OH-NVP. The finding with covalent binding of NVP metabolites to skin proteins

suggested that only 12-OH-NVP sulfate binds to skin homogenates and forms adducts in the

epidermis, and the topical treatment of 1-phenyl-1-hexanol, a sulfotransferase inhibitor,

prevented covalent binding where it was applied and it also prevented the rash where it was

applied [68, 69]. This is the definitive evidence that 12-OH-NVP sulfate is responsible for the

skin rash, not 12-OH-NVP. We performed similar covalent binding studies with the BMDCs,

and the results showed that there was a high degree of binding with the sulfate, and there was

also significant binding with 12-OH-NVP. Although there was no sulfate detected in the 12-OH-

NVP samples as determined by HPLC, it is possible that a trace amount is formed inside the cells

and covalent binds to them. An experiment was performed with the addition of 1-phenyl-1-

hexanol to block the sulfation and covalent binding to see if it prevents the activation by 12-OH-

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NVP [144]. However, 1-phenyl-1-hexanol itself led to activation of BMDCs and induced a

strong response of BMDCs when added to the cell culture. The covalent binding data suggest

that some of the 12-OH-NVP is converted to the sulfate; however, this is insufficient to explain

the observation that the concentration of 12-OH-NVP required to activate APCs was less than

that of the sulfate metabolite.

The APC activation results are complicated, but they do not rule out the possibility that the

reactive metabolite can directly activate APCs. A systemic immune response is likely to be a

complicated mechanism that involves several key factors, i.e. release of the danger signals,

protein haptenation, and activation of APCs. The covalent binding of 12-OH-NVP sulfate may

be necessary but not sufficient to induce a skin rash. It is possible that in addition to the covalent

binding of 12-OH-NVP sulfate formed in the skin, NVP and 12-OH-NVP also contribute to

induction of the immune response. In fact, a recent paper suggested that tricyclic molecules such

as carbamazepine and oxcarbazepine can directly activate APCs through toll-like receptor 4

[145], and this may also apply to NVP, which contains a tricyclic structure. It is also possible

that certain types of sulfate-protein adducts are necessary to activate APCs. The fact that the

sulfate was formed in the epidermis, and the sulfotransferase inhibitor prevented the local skin

rash suggests that the responding APCs reside in the epidermis, which is primarily composed of

keratinocytes. Keratinocytes are considered non-professional APCs, and in fact the recent

finding in our group suggest that they might be involved in inflammasome activation and

contribute to NVP-induced skin rashes [73, 146].

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5.5. CONCLUSION

NVP-induced skin rash in female BN rats is one of the very few valid animal models of an IDR

that occurs in humans, and it has brought us many insights into the mechanisms of these

unpredictable drug reactions. However, with more studies, the mechanism appears to become

more complicated. This is a reaction orchestrated by various immune cells, and although it is

possible that some in vitro systems can model certain parts of the immune reaction, essentially

the only way to rigorously test mechanistic hypotheses is with in vivo studies.

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CHAPTER 6

CONCLUSIONS AND FUTURE DIRECTIONS

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6.1. Summary

IDRs represents a significant threat to the pharmaceutical industry; however, to date we have not

been able to effectively prevent or treat them due to limited understanding of the mechanisms

involved. While using valid animal models is essentially the only way to conduct mechanistic

studies, the development of such models has also been extremely difficult, and the discovery of

such models is often by luck.

In the late 1990’s to early 2000’s, our lab found that NVP causes a skin rash in female BN rats

that is similar to NVP-induced rashes in humans. Followed by a few years of validation of the

dose, strain, sex and characteristics of the rash in BN rats, the animal model was finally

developed by Shenton et al., and it has been used to rigorously test many hypotheses of IDRs

since then [54]. The early studies focused on characterizing the disease and confirming the

involvement of the immune system. Specifically, the onset of disease is delayed on primary

exposure but accelerated upon rechallenge, depletion of CD4+ T cells leads to decreased

incidence, and adoptive transfer of CD4+ T cells transferred the sensitivity. Overwhelming

evidence suggests that this reaction is immune-mediated – specifically – CD4+ T cell mediated

[54, 55, 61]. The question then became which metabolite causes the rash and how is the immune

system orchestrated to mediate the rash?

The first milestone to fully answer the question of what species is responsible for the rash was

established by Jie Chen et al. in 2008. With several years of effort, they were able to

demonstrate that the NVP-induced skin rash is not caused by NVP itself, but requires 12-

hydroxylation of NVP, presumably because the 12-hydroxy metabolite is further converted to a

more reactive sulfate in the skin. This conclusion was based on experiments in which the 12-

methyl hydrogens were replaced by deuterium, which decreases 12-hydroxylation and rash, but

does not affect other properties of the drug. Furthermore, treatment with 12-OH-NVP also led to

a rash [59]. The outline of the NVP biotransformation and confirmation of the culprit metabolic

pathway forms the stepping-stone for subsequent mechanistic studies.

Chapter 2 of the current work focused on testing the PI hypothesis, and it showed that T cells

from sensitized animals responded to the parent drug much better than to the 12-OH-NVP

metabolite, even though it had been demonstrated that the 12-OH-NVP pathway was responsible

for the rash, not the parent drug [59]. Specifically, CD4+ T cells isolated from sensitized animals

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proliferate and produce cytokines when incubated with NVP, but the response was minimal

when other metabolites were used. This result showed that there is a clear disconnect between

what induces the immune response and what the T cells respond to, and it also suggested the

basis of PI hypothesis is wrong.

In addition to the PI hypothesis, other major hypotheses are also under investigation in our lab

using this unique IDR model. In 2007, our lab has successfully produced an anti-NVP antibody

serum that could be used to detect covalent binding, and that allowed subsequent work to test the

hapten hypothesis. The hapten hypothesis suggests that the hapten-protein conjugate is

responsible for inducing an immune response, and we speculate that the target organ is most

likely where this immune reaction is initiated, in this case the skin. While another student, Amy

Sharma, was mainly involved in characterizing the covalent binding and determining subsequent

pathological events, I investigated if NVP/its metabolite could induce a rash if directly applied to

skin (Chapter 3). It was found that although topical treatment of a low dose of NVP induced a

skin rash with an accelerated onset in NVP-sensitized animals, a 6-week treatment with 12-OH-

NVP in naïve animals did not lead to any significant histological changes, nor did it induce a

skin rash. The fact that topical treatment lead to a skin rash in sensitized animals suggested that,

at least on rechallenge, the immune response is initiated in the skin.

Chapter 4 is composed of several independent co-administration studies intended to manipulate

the immune system and see what effect they have on NVP-induced IDRs. However, none of

these modulators that seemed to change the incidence/severity of NVP-induced IDR is “clean” –

they all have more than one effect. Based on the BSO and RA experiments, in which both

reagents seemed to have an impact on the metabolism of NVP and resulted in lower drug levels

in the plasma, one cannot conclude the effect of any modulator on drug-induced adverse

reactions without testing its effect on metabolism.

Studies in Chapter 5 aimed to address the initial steps of how a reactive metabolite leads to an

immune response at the cellular level. Similar studies have been done with SMX to demonstrate

that the reactive metabolite can activate APCs by upregulating co-stimulatory molecule

expression, which in turn activates T cells and induces an immune response. Our results showed

that different co-stimulatory markers were upregulated for different APCs; however, the

upregulation of co-stimulatory markers did not lead to T cell activation.

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6.2. Implications and Future Directions

The most important implication of the current work is its impact on use of the LTT in clinical

settings. For a long time it has been well accepted that the LTT can be used to determine which

drug caused a hypersensitivity reaction, and it has been used as a diagnostic tool for IDRs.

Although the LTT can differentiate the likely drug involved, our research demonstrated that the

“cause” and “response” of an immune reaction are not necessarily the same, and the LTT should

not be used to determine if it is the parent drug or the metabolite that is responsible for an IDR.

Our research set out to test the validity of PI hypothesis in the NVP model, and it revealed that

the foundation of this hypothesis is not valid. The finding was unexpected, but it again

addressed the importance of using an animal model for mechanistic studies; this hypothesis

simply could not be tested in humans. It also demonstrated that every assumption in science has

to be carefully validated regardless of how reasonable it sounds and how well accepted it is.

Although the basis of the PI hypothesis is not valid, it does not mean that the hypothesis itself is

wrong. It may be valid for drugs that do not appear to form reactive metabolites such as

ximelagatran and lamotrigine [39, 147]. In fact, ximelagatran causes elevated levels of serum

alanine aminotransferase in some patients and was shown to form a labile bond to MHC

molecules [104]. The fact that none of the metabolites or the parent drug seem to be reactive and

form any specific covalent binding to proteins suggested that the immune response may be

initiated through a PI type of interaction.

The topical treatment set out to test if the IDR is initiated locally. Although the treatments did

not successfully induce a skin rash on primary exposure, it also does not directly prove the

hypothesis wrong. It appears that penetration of the 12-hydroxy metabolite into the skin was not

sufficient to lead to covalent binding, which is observed with oral administration of 12-OH-NVP

(Amy Sharma, unpublished observation). Nevertheless, the fact that topical NVP induced a skin

rash in sensitized animals is interesting, and we suspect there is an autoimmune component in

this IDR. For instance, the rash induced by topical NVP upon rechallenge seems to be a

systemic reaction even when minimal doses were used. There are also autoantibodies present in

the sera of rechallenged animals, which further supports the autoimmune component (Amy

Sharma, unpublished observations). Further characterization of the cellular mechanisms as well

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as the autoantibodies induced on rechallenge may help to further elucidate the mechanisms

involved.

It was unfortunate that the upregulation of APC co-stimulatory markers did not lead to T cell

activation. Such results are difficult to interpret because the reasons for failing to induce T cell

activation are hard to determine. Recently, Amy Sharma (the student who used this model to

determine if the Hapten Hypothesis was operative) found that NVP sulfate forms protein adducts

in the epidermis of the skin isolated from female BN rats that had been treated with NVP, and

this metabolite is responsible for the rash [68, 69]. This is the biggest breakthrough of our over a

decade of IDR research using the NVP model, and it is also the first time to directly prove that a

reactive metabolite is responsible for inducing an IDR by using an animal model. The fact that

the sulfate was formed in the epidermis, and a topical sulfotransferase inhibitor prevented the

local skin rash suggests that the responding APCs reside in the epidermis, which is primarily

composed of keratinocytes. Meanwhile, results of our danger signal studies also suggested that

they might be involved in inflammasome activation and contribute to NVP-induced skin rashes

[73]. Inflammasomes are large intracellular multiprotein complexes, which comprise a

nucleotide-binding oligomerization domain receptors (NOD-like receptor or NLRs). They are

expressed in many cells including keratinocytes and play a critical role in IL-1β and IL-18

production [148]. The NLRP3 inflammasome has been shown to be involved in contact

hypersensitivity, where covalent binding of reactive chemical species are formed and activate the

inflammasome [149]. It is possible that 12-OH-NVP sulfate also acts this way, i.e. by inducing

an immune response via inflammasome activation. Our group has shown that the gene

expression of tripartite motif containing 63 (TRIM63) and death-associated protein kinase 1

(DAPK1), both involved in inflammasome activation, were significantly upregulated in the rat

skin following NVP treatment [73], which suggests that inflammasome is involved in the

induction of NVP-induced skin rash. Testing this hypothesis is an important future direction of

this research.

Keratinocytes are considered non-professional APCs, and therefore were not the focus of our

APC activation research. However, it is possible that they also contribute to the antigen

presentation process in addition to the professional APCs. Given that the drug-modified proteins

are formed in the epidermis, it is reasonable to speculate that cells resident in the skin, possibly

keratinocytes or Langerhans cells, may be the key APCs that lead to T cell activation. This

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would also explain why the activated APCs did not lead to T cell activation – because they

cannot form the proper epitope recognized by T cells and pass on the “danger message”. In

contact hypersensitivity, dendritic cells and Langerhans cells migrate to the draining lymph

nodes and the spleen once being activated by antigens. The signals are then presented to T cells

in the secondary lymphoid organs and an immune response may be elicited. On the other hand,

T cells expressing skin homing receptors could also be attracted by skin residential cells

expressing the corresponding ligands and migrate to the local inflammatory site, then induce an

immune response. [111, 112]. This may also be applied to NVP-induced skin rash and can be

tested. Predicting which drug candidates will cause IDRs and who will have an IDR has been a

big challenge and will continue to be a problem without a thorough understanding of their

mechanisms. NVP-induced skin rash in female BN rats, being one of the very few animal

models of IDRs, has allowed us to test hypotheses that are not possible to do in human subjects,

and this model has provided tremendous information that sheds some light on the mechanisms of

IDRs in humans. There are other drugs that cause serious drug rashes that also have the potential

to form reactive sulfate metabolites in the skin. Testing whether these drugs also form reactive

sulfate metabolites is also an important future direction of this research. However, it is worth

noting that each IDR is different, and the NVP model may not necessarily represent other drug-

induced skin rashes. In fact, the mechanisms of IDRs are so complex that it took us over 10

years to prove that a reactive metabolite is responsible for this IDR. Yet, it may take even longer

to fully understand how the immune reaction is initiated and how to prevent IDRs, but the only

way to progress is to rigorously test hypotheses and that requires developing valid animal

models.

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APPENDIX Appendix 1. Supplemental Data of APC activation by 12-OH-NVP sulfate.

Fluorescence Intensity Intensity of MHCII expression:Sulphate-NVP VS DMSO (0.4%)

0.1250.25 0.5 1 2 4 8 16 32 64 1280

50

100

150

200

Experiment 2

Experiment 1

Drug Concentration (g/mL)

rati

o o

f tr

eat

ed v

ers

us

co

ntr

ol

cell

s in

MH

C I

I M

FI

Appendix 1. Histograms and dose-response curve of MHC II expression on APCs in response to

12-OH-NVP sulfate. APCs were concentrated from the ALNs of naïve female BN rats using

magnetic beads and incubated with 12-OH-NVP sulfate dissolved in 0.5% DMSO for 24 hours at

37 ºC, 5% CO2. A) representative histograms. Green: LPS stimulated cells (positive control),

Red: DMSO stimulated cells (negative control), Blue: 12-OH-NVP sulfate stimulated cells (50

µg/mL). B) dose-response curve.

Count

A.

B.