1
Pharmacokinetic and Pharmacodynamic Model to Quantitate Biomarkers of Exposure to Organophosphorus Insecticides Charles Timchalk, Ahmed Kousba and Torka S. Poet Battelle, Pacific Northwest Division, Richland WA QQ PO N 1 Polym orphism 1.E-08 1.E-07 1.E-06 1.E-05 1.E-04 1.E-03 1.E-02 1.E-01 Brain Oxon (AUC 5 m g/kg 0.5 m g/kg 0.05 m g/kg 0.005 m g/kg Low estPO N 1 A ctivity # 7 Variability 0 20 40 60 80 100 0 200 400 600 800 Time (hrs) % of Control Dermal 5 mg/kg Oral 0.5 mg/kg # 5 Rat & Human Validation Studies # 6 Saliva Biomonitoring B lood TC P 0 1 10 100 0 3 6 9 12 Tim e (hrs) umol/L 50 m g/kg 10 m g/kg 1 m g/kg S aliva TC P 0.01 0.10 1.00 0 3 6 9 12 Tim e (hrs) umol/L 50 m g/kg 1 m g/kg Plasm a C hE Inhibition 0 25 50 75 100 0 3 6 9 12 Tim e (hrs) % of Contr 50 m g/kg 10 m g/kg 1 m g/kg TCP Kinetics ChE Inhibition S aliva C hE Inhibition 0 25 50 75 100 0 3 6 9 12 Tim e (hrs) % of Contro 50 m g/kg 10 m g/kg 1 m g/kg Free Esterase Oxon-Esterase Aged Complex Synthesis of New Esterase “Free” CPF-Oxon + Degradation of EsteraseReleased TCP Metabolite mole hr -1 Regeneration hr -1 B-Esterase (B-EST) Inhibition (shaded compartments) CPF-Oxon Km 1 , Vmax 1 Compartment Model Ke B-EST (AChE, BuChE, CaE) A-EST * Km 3,4 , Vmax 3,4 Blood Venous Blood Arterial Blood Fat Slowly Perfused RapidPerfused Diaphragm Brain Liver CPF Oxon Qc Venous Blood Slowly Perfused Rapid Perfused Brain Liver Ca Arterial Blood Qs Qr Qd Qb Cvb Ql Cv Cvs Cvr Cvd Cvl Stomach KaS Hydrolysis Km 2 , Vmax 2 Diaphragm Fat Qf Cvf Cvo Cao Qc Qfo Cvfo Qso Cvso Qro Cvro Qdo Cvdo Qbo Cvbo Qlo Cvlo Intest ine KsI KaI TCP Skin Qsk Cvsk Gavage Exposure Dermal Exposure Kp SA * Liver and blood only. Dietary Exposure Kzero hr -1 Inhibition uM hr -1 -1 hr -1 Fa Fa # # 4 PBPK/PD Model 4 PBPK/PD Model # 8 Age-Dependent Response 0 20 40 60 80 100 0 10 20 30 Tim e (hrs) % of Contro A dultR at P N D 17 N eonate R at ~4x Brain AChE Inhibition, Oral 15 mg/kg Brain AChE Inhibition, Oral 15 mg/kg Background: This project entails development and validation of a physiologically based pharmacokinetic and pharmacodynamic (PBPK/PD) model (see # 1) for the organophosphorus insecticide chlorpyrifos (CPF) to quantitate dosimetry and acetylcholinesterase (AChE) inhibition in young rats and children. Chlorpyrifos is metabolized to an active oxon metabolite which is a potent inhibitor of AChE. Toxicity is due to the inhibition of AChE resulting in a broad range of neurotoxic effects (see # 2). It is hypothesized that an age-dependent decrement in chlorpyrifos metabolism correlates with increased sensitivity of young animals and potentially children. A balance between the contribution of various parameters like metabolism can increase or decrease the potential toxicity (see # 3). PBPK/PD models (see # 4) allow for the integration of all the key parameters associated with toxicity and can be used to quantitate both the dosimetry and biological response (AChE inhibition), over a range of doses, exposure conditions (single vs. repeated), and exposure routes (oral, dermal or inhalation). This tool can be used by risk assessors to make a more biologically based assessment for risk associated with exposure to organophosphorus insecticides. Dose Bioavailability Metabolic Activation Metabolic Detoxification A-Esterase CaE Increased Toxicity Decreased Toxicit Dose Bioavailability Metabolic Activation Metabolic Detoxificati A-Esterase CaE # # 3 3 OP Pharmacokinetic Balan OP Pharmacokinetic Balan Exposure Tissue Dose Oxon Tissue Interaction Tissue Interaction AChE Inhibition Neurotoxici ty Pharmacokinetics Pharmacodynamics # 1 1 N Cl Cl Cl O P S C 2 H 5 O C 2 H 5 O N Cl Cl Cl HO Chlorpyrifos S P-450 N Cl Cl Cl O P O C 2 H 5 O C 2 H 5 O O xon OH P S C 2 H 5 O C 2 H 5 O D iethylthiophosphate 3,5,6-trichloro-2-pyridinol(TCP) OH P O C 2 H 5 O C 2 H 5 O D iethylphosphate N Cl Cl Cl Conjugates-O Sulfate orglucuronidesofTCP P-450 Toxicity AChE Inhibition # 2 Metabolism 2 Metabolism Results: The PBPK/PD model has been validated using dosimetry and dynamic response (cholinesterase (ChE) inhibition) data obtained from animal and human studies. Figure # 5 illustrates the plasma ChE response (data points) and PBPK/PD model fit (lines) for human volunteers exposed to chlorpyrifos both dermally and orally. The model does an excellent job of fitting a range of experimental data. To evaluate the potential utility of saliva for biomonitoring, studies were undertaken to measure the amount of metabolite (TCP) present in saliva and the degree of salivary ChE inhibition following a oral exposure to chlorpyrifos (see Figure # 6). These results suggest that saliva may be useful for biomonitoring for organophosphorus insecticides. To assess the impact of variability associated with detoxification by human metabolism in adults a Monte Carlo analysis was conducted over a broad ranges of doses (see Figure # 7). A metabolic polymorphism has the greatest impact on dosimetry (brain oxon AUC) at doses that overwhelm other detoxification pathways. The PBPK/PD model was modified to allometrically scale (based on body weight) the age-dependent development of metabolizing enzymes and ChE enzyme activity, and simulations were compared against experimental data. These simulations (see Figures # 8 and # 9) are consistent with differences in the acute toxicity response between neonatal and adult rats (4-fold difference in sensitivity). However, the model also suggest that metabolism in neonates my be adequate at Groups Brain CPF-Oxon AUC (moles L -1 hr -1 ) 0.5 mg/kg 1.0 mg/kg 5 mg/kg 10 mg/kg 50 mg/kg Adult Rat 0.02 0.03 0.13 0.31 1.64 Neonatal Rat (PND4) 0.02 (1.0) 0.06 (2.0) 0.36 (2.8) 0.77 (2.5) 6.51* * (4.0) Values in parenthesis are the ratio of brain CPF-oxon AUC for neonatal: adult rats. **Lethal dose level. # # 9 Dose Comparison Adult vs. Neonatal Rat 9 Dose Comparison Adult vs. Neonatal Rat Conclusions & Impact: This EPA-STAR project has resulted in the development and validation of an integrated PBPK/PD model for organophosphorus insecticides that can be used to quantitate age-dependent dosimetry and dynamic response following exposure to chlorpyrifos. This model can be used to address risk assessment issues specifically dealing with children’s susceptibility and cumulative risk. The model framework can be readily extended to other important organophosphorus and carbamate insecticides. The quantitation of key metabolites and ChE activity in saliva following in vivo exposure represents an important opportunity for development of non-invasive biomonitoring technology for the rapid detection of organophosphorus insecticide exposure. This approach can be readily adapted to other important pesticides and potentially used as a tool for the rapid assessment of exposure to chemical warfare nerve agents.

Development of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model to Quantitate Biomarkers of Exposure to Organophosphorus Insecticides

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Page 1: Development of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model to Quantitate Biomarkers of Exposure to Organophosphorus Insecticides

Development of a Physiologically Based Pharmacokinetic and Pharmacodynamic Model to Quantitate Biomarkers of

Exposure to Organophosphorus Insecticides

Charles Timchalk, Ahmed Kousba and Torka S. PoetBattelle, Pacific Northwest Division, Richland WA

QQ PON1 Polymorphism

1.E-08

1.E-07

1.E-06

1.E-05

1.E-04

1.E-03

1.E-02

1.E-01

Brai

n O

xon

(AUC

)

5 mg/kg

0.5 mg/kg

0.05 mg/kg

0.005 mg/kg

Lowest PON1 Activity

#7 Variability

0

20

40

60

80

100

0 200 400 600 800

Time (hrs)

% o

f Con

trol

Dermal 5 mg/kgOral 0.5 mg/kg

#5 Rat & Human Validation Studies #6 Saliva Biomonitoring

Blood TCP

0

1

10

100

0 3 6 9 12Time (hrs)

umol

/L

50 mg/kg

10 mg/kg

1 mg/kg

Saliva TCP

0.01

0.10

1.00

0 3 6 9 12

Time (hrs)

umol

/L

50 mg/kg

1 mg/kg

Plasma ChE Inhibition

0255075

100

0 3 6 9 12

Time (hrs)

% o

f Con

trol

50 mg/kg10 mg/kg1 mg/kg

TCP Kinetics

ChE InhibitionSaliva ChE Inhibition

0255075

100

0 3 6 9 12

Time (hrs)

% o

f Con

trol

50 mg/kg10 mg/kg1 mg/kg

Free Esterase Oxon-Esterase Aged Complex

Synthesis of New Esterase

“Free”CPF-Oxon +

Degradation of Esterase Released TCP Metabolite

mole hr-1

Regeneration

hr -1

B-Esterase (B-EST) Inhibition(shaded compartments)

CPF-Oxon

Km1, Vmax1

Compartment Model Ke B-EST (AChE, BuChE, CaE)

A-EST* Km3,4, Vmax3,4

BloodV

enou

s B

lood

Arte

rial B

lood

Fat

Slowly Perfused

Rapid Perfused

Diaphragm

Brain

Liver

CPF

Oxon

Qc

Ven

ous

Blo

odSlowly Perfused

Rapid Perfused

Brain

Liver

Ca

Arte

rial B

lood

Qs

Qr

Qd

Qb Cvb

Ql

Cv

Cvs

Cvr

Cvd

Cvl

Stomach

KaS HydrolysisKm2, Vmax2

Diaphragm

FatQf Cvf CvoCao

Qc

Qfo Cvfo

Qso Cvso

Qro Cvro

Qdo Cvdo

Qbo Cvbo

Qlo Cvlo

Intestine

KsI

KaI

TCP

SkinQsk Cvsk

GavageExposure

DermalExposure

Kp

SA

* Liver and blood only.

Dietary Exposure

Kzero

hr -1

InhibitionuM hr-1 -1

hr -1

Fa Fa

##4 PBPK/PD Model4 PBPK/PD Model

#8 Age-Dependent Response

0

20

40

60

80

100

0 10 20 30

Time (hrs)

% o

f Con

trol Adult Rat

PND17 Neonate Rat~4x

Brain AChE Inhibition, Oral 15 mg/kgBrain AChE Inhibition, Oral 15 mg/kg

Background:This project entails development and validation of a physiologically based

pharmacokinetic and pharmacodynamic (PBPK/PD) model (see #1) for the organophosphorus insecticide chlorpyrifos (CPF) to quantitate dosimetry and acetylcholinesterase (AChE) inhibition in young rats and children.

Chlorpyrifos is metabolized to an active oxon metabolite which is a potent inhibitor of AChE. Toxicity is due to the inhibition of AChE resulting in a broad range of neurotoxic effects (see #2).

It is hypothesized that an age-dependent decrement in chlorpyrifos metabolism correlates with increased sensitivity of young animals and potentially children. A balance between the contribution of various parameters like metabolism can increase or decrease the potential toxicity (see #3).

PBPK/PD models (see #4) allow for the integration of all the key parameters associated with toxicity and can be used to quantitate both the dosimetry and biological response (AChE inhibition), over a range of doses, exposure conditions (single vs. repeated), and exposure routes (oral, dermal or inhalation). This tool can be used by risk assessors to make a more biologically based assessment for risk associated with exposure to organophosphorus insecticides.

Dose BioavailabilityMetabolic ActivationMetabolic Detoxification A-Esterase CaE

Increased Toxicity Decreased Toxicity

DoseBioavailabilityMetabolic ActivationMetabolic Detoxification A-Esterase CaE

##33 OP Pharmacokinetic BalanceOP Pharmacokinetic Balance

Exposure Tissue Dose Oxon

Tissue Interaction

Tissue Interaction

AChEInhibition Neurotoxicity

Pharmacokinetics

Pharmacodynamics

##11

N

Cl Cl

ClOP

SC2H5O

C2H5O

N

Cl

Cl

Cl

HO

ChlorpyrifosS

P-450

N

Cl Cl

ClOP

OC2H5O

C2H5O Oxon

OHP

SC2H5O

C2H5ODiethylthiophosphate

3,5,6-trichloro-2-pyridinol (TCP)

OHP

OC2H5O

C2H5ODiethylphosphate

N

Cl

Cl

Cl

Conjugates- O

Sulfate or glucuronides of TCP

P-450

ToxicityAChE Inhibition

##2 Metabolism2 Metabolism

Results:

The PBPK/PD model has been validated using dosimetry and dynamic response (cholinesterase (ChE) inhibition) data obtained from animal and human studies. Figure #5 illustrates the plasma ChE response (data points) and PBPK/PD model fit (lines) for human volunteers exposed to chlorpyrifos both dermally and orally. The model does an excellent job of fitting a range of experimental data.

To evaluate the potential utility of saliva for biomonitoring, studies were undertaken to measure the amount of metabolite (TCP) present in saliva and the degree of salivary ChE inhibition following a oral exposure to chlorpyrifos (see Figure #6). These results suggest that saliva may be useful for biomonitoring for organophosphorus insecticides.

To assess the impact of variability associated with detoxification by human metabolism in adults a Monte Carlo analysis was conducted over a broad ranges of doses (see Figure #7). A metabolic polymorphism has the greatest impact on dosimetry (brain oxon AUC) at doses that overwhelm other detoxification pathways.

The PBPK/PD model was modified to allometrically scale (based on body weight) the age-dependent development of metabolizing enzymes and ChE enzyme activity, and simulations were compared against experimental data. These simulations (see Figures #8 and #9) are consistent with differences in the acute toxicity response between neonatal and adult rats (4-fold difference in sensitivity). However, the model also suggest that metabolism in neonates my be adequate at environmentally relevant exposure concentrations.

Groups Brain CPF-Oxon AUC (moles L-1 hr-1)

  0.5 mg/kg

1.0 mg/kg

5 mg/kg

10 mg/kg

50 mg/kg

Adult Rat 0.02 0.03 0.13 0.31 1.64

Neonatal Rat (PND4) 0.02 (1.0)

0.06 (2.0)

0.36 (2.8)

0.77 (2.5)

6.51** (4.0)

Values in parenthesis are the ratio of brain CPF-oxon AUC for neonatal: adult rats.**Lethal dose level.

##9 Dose Comparison Adult vs. Neonatal Rat9 Dose Comparison Adult vs. Neonatal Rat

Conclusions & Impact:This EPA-STAR project has resulted in the development and validation of an integrated PBPK/PD

model for organophosphorus insecticides that can be used to quantitate age-dependent dosimetry and dynamic response following exposure to chlorpyrifos. This model can be used to address risk assessment issues specifically dealing with children’s susceptibility and cumulative risk.

The model framework can be readily extended to other important organophosphorus and carbamate insecticides.

The quantitation of key metabolites and ChE activity in saliva following in vivo exposure represents an important opportunity for development of non-invasive biomonitoring technology for the rapid detection of organophosphorus insecticide exposure. This approach can be readily adapted to other important pesticides and potentially used as a tool for the rapid assessment of exposure to chemical warfare nerve agents.