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REVIEW ARTICLE
Inhibition and induction of human cytochrome P450 enzymes:current status
Olavi Pelkonen Æ Miia Turpeinen Æ Jukka Hakkola ÆPaavo Honkakoski Æ Janne Hukkanen Æ Hannu Raunio
Received: 23 May 2008 / Accepted: 16 June 2008 / Published online: 11 July 2008
� Springer-Verlag 2008
Abstract Variability of drug metabolism, especially that
of the most important phase I enzymes or cytochrome P450
(CYP) enzymes, is an important complicating factor in
many areas of pharmacology and toxicology, in drug
development, preclinical toxicity studies, clinical trials,
drug therapy, environmental exposures and risk assess-
ment. These frequently enormous consequences in mind,
predictive and pre-emptying measures have been a top
priority in both pharmacology and toxicology. This means
the development of predictive in vitro approaches. The
sound prediction is always based on the firm background of
basic research on the phenomena of inhibition and induc-
tion and their underlying mechanisms; consequently the
description of these aspects is the purpose of this review.
We cover both inhibition and induction of CYP enzymes,
always keeping in mind the basic mechanisms on which to
build predictive and preventive in vitro approaches. Just
because validation is an essential part of any in vitro–in
vivo extrapolation scenario, we cover also necessary in
vivo research and findings in order to provide a proper
view to justify in vitro approaches and observations.
Keywords Cytochrome P450 (CYP) � Inhibition �Induction
Introduction
Activities of cytochrome P450 (CYP) enzymes are affected
by numerous genetic, endogenous host, and environmental
factors, making drug metabolism exceedingly variable and
even individualistic. This variability has important reper-
cussions to drug development, clinical drug therapy and in
general to sensitivity to chemicals foreign to the body, i.e.
xenobiotics. Among environmental factors, compounds
causing inhibition and induction are amongst the most
important ones, or at least the most researched.
Inhibition of CYP enzymes by other drugs or chemicals
has received considerable attention since cimetidine was
shown to affect drug metabolism in both animals and
humans (Puurunen and Pelkonen 1979; Rendic et al. 1979).
Mechanistic insights, predictive in vitro assays and mod-
eling and validation of in vitro–in vivo extrapolation have
revolutionized this part of drug development. However,
inhibitory interactions in the metabolism of compounds
other than pharmaceuticals have been less well developed
O. Pelkonen (&) � M. Turpeinen � J. Hakkola
Department of Pharmacology and Toxicology,
Institute of Biomedicine, University of Oulu,
PO Box 5000 (Aapistie 5 B), 90014 Oulu, Finland
e-mail: [email protected]
M. Turpeinen
Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology,
Stuttgart, Germany
e-mail: [email protected]
M. Turpeinen
Department of Clinical Pharmacology, University of Tubingen,
Tubingen, Germany
P. Honkakoski
Department of Pharmaceutics, University of Kuopio,
Kuopio, Finland
J. Hukkanen
Department of Internal Medicine, Oulu University Hospital,
Oulu, Finland
H. Raunio
Department of Pharmacology and Toxicology,
University of Kuopio, Kuopio, Finland
123
Arch Toxicol (2008) 82:667–715
DOI 10.1007/s00204-008-0332-8
and the significance of chemical–drug or chemical–chem-
ical interactions is still not very well understood.
Although the role of Ah receptor in the induction of aryl
hydrocarbon hydroxylase was elucidated already more than
20 years ago, it was only after the unraveling of the role of
pregnane X receptor (PXR) and constitutive androstane
receptor (CAR) in more general P450 induction phenom-
ena that the research field experienced almost logarithmic
growth. With the advent of several other nuclear receptors,
their crosstalk in regulating CYP induction and pleiotypic
responses after the exposure of the organism to nuclear
receptor ligands, we have started to understand the com-
plex interwoven regulatory networks, which link drug
metabolism with the regulation of many facets of inter-
mediary metabolism, such as bile acids, lipids, glucose and
so on.
In this review we present an updated view on the scope
and significance of both inhibition and induction of CYP
enzymes, especially in humans, but taking examples also
from animal studies. We have tried to cover pertinent lit-
erature until March 2008, but the earlier literature, which
was covered in our earlier review article (Pelkonen et al.
1998), will be mentioned only sporadically. It is impossi-
ble to cover all the literature on CYP inhibition and
induction published during the last 10 years, so we have to
apologize for any omission of significant references and
authors.
CYP enzymes in human tissues
In February 2008, the CYP superfamily consisted of more
than 7,000 named sequences in animals, plants, bacteria
and fungi (http://drnelson.utmem.edu/CytochromeP450.
html). The human genome has 57 CYP genes, and the
function for most of the corresponding enzymes is known
at least to some degree. Fifteen individual CYP enzymes in
families 1, 2 and 3 metabolize xenobiotics, including the
majority of small molecule drugs currently in use. A typ-
ical feature of these CYPs is broad and overlapping
substrate specificity (Guengerich et al. 2005). Other CYPs
with much narrower substrate specificity are devoted
mainly to the metabolism of endogenous substrates, such as
sterols, fatty acids, eicosanoids, and vitamins. It has
become evident that expression patterns of many individual
CYPs in different tissues and cell types of an organ have
important physiological roles (Seliskar and Rozman 2007).
Cytochrome P450 enzymes are found in practically all
tissues, with highest abundance and largest number of
individual CYP forms present in the liver. CYPs reside also
in the intestine, lung, kidney, brain, adrenal gland, gonads,
heart, nasal and tracheal mucosa, and skin. In human liver
CYP enzymes comprise approximately 2% of total
microsomal protein (0.3–0.6 nmol of total CYP per mg of
microsomal protein). The content of drug-metabolizing
CYPs is much lower in other tissues (Table 1). While
extrahepatic metabolism may have clinically significant
local effects, systemic metabolic clearance of drugs occurs
in the liver with a significant contribution by the gut wall in
special cases.
Metabolism is the main route of clearance for approxi-
mately 70% of currently used drugs. Ten individual CYP
forms in the adult human liver carry out virtually the whole
CYP-mediated metabolism. CYP3A4 is the highest abun-
dance form and it metabolizes the greatest number of drugs
and a very large number of other xenobiotics. A minority of
Caucasian people have relatively high amount of CYP3A5
in the liver, and CYP3A7 is a fetal enzyme. Also CYP2D6,
although of much lower abundance, mediates the metabo-
lism of numerous drugs. Together CYP2B6, CYP2C9,
CYP2C19, CYP2D6 and CYP3A4 are responsible for more
than 90% of known oxidative drug metabolism reactions
(Wienkers and Heath 2005; Guengerich 2008). Figure 1
illustrates the relative abundance of individual CYP forms
in the liver, and lists some examples of substrates, inhibitors
and inducers. The CYP enzymes are well known for their
capacity to metabolize a vast number of structurally diverse
xenobiotics. Several reviews (e.g. Rendic 2002; Guengerich
et al. 2005; Liu et al. 2007; Brown et al. 2008; Hrycay and
Bandiera 2008) and Internet sites (e.g. http://medicine.
iupui.edu/flockhart) contain exhaustive lists of xenobiotics
that are CYP substrates.
The genes encoding CYP enzymes are highly poly-
morphic (http://www.cypalleles.ki.se). Numerous studies
have established that several variant alleles of individual
CYP genes encode functionally deficient enzymes, the
prime example being CYP2D6. When challenged with a
CYP2D6 substrate drug, e.g. dextromethorphan, individu-
als with a deficient enzyme phenotype [poor metabolizers
(PMs)] may experience adverse effects due to excessive
serum concentrations of the drug. On the other hand,
individuals with multiple copies of the CYP2D6 gene
Table 1 Total CYP content in selected human tissues (Hrycay and
Bandiera 2008)
Tissue CYP content
(nmol/mg microsomal protein)
Liver 0.30–0.60
Adrenal 0.23–0.54
Small intestine 0.03–0.21
Brain 0.10
Kidney 0.03
Lung 0.01
Testis 0.01
668 Arch Toxicol (2008) 82:667–715
123
(ultrarapid metabolizers) will have insufficient clinical
response since the drug is eliminated during first-pass
metabolism (Kirchheiner et al. 2005). Thus, genotyping
patients for CYP2D6 and other drug-metabolizing genes
before implementing drug therapy would be advantageous.
Nevertheless, implementing this type of genetic informa-
tion into practice is a daunting task with several obstacles
to overcome before individualized drug therapy is a reality
(Nebert et al. 2008).
Most drugs cleared by the CYP system are metabolized
through several CYP forms. As a general rule, drugs that
are metabolized by a single CYP form are more susceptible
to drug interactions than drugs metabolized by multiple
forms. For investigational purposes, an ideal marker
(probe) drug should be metabolized by a single CYP form.
The FDA has issued a draft guidance on drug interaction
studies (Huang et al. 2007). In this guidance, examples are
given on substrates, inhibitors and inducers that can be
used in clinical drug interaction studies (Table 2).
Inhibition of CYP enzymes
Inhibition of CYP enzymes is the most common cause of
harmful drug–drug interactions and has led to the removal
of several drugs from the market during the past years
(Friedman et al. 1999; Lasser et al. 2002). Inhibition can
lead to increased bioavailability of the parent compound
normally subject to extensive first-pass elimination or to
decreased elimination of compounds dependent on
metabolism for systemic clearance. If a drug is metabolized
mainly via single pathway, inhibition may result in
increased steady-state concentration and accumulation
ratio and non-linear kinetics as a consequence of the sat-
uration of enzymatic processes. Especially with prodrugs,
inhibition may result in a decrease in the amount of the
active drug form. Thus, inhibition of CYPs may lead to the
toxicity or lack of efficacy of a drug.
The type of CYP inhibition can be either irreversible
(mechanism-based inhibition) or reversible. The distinction
is relative and can be hard to determine if the inhibitor
binds tightly to the enzyme and is released slowly (Wien-
kers and Heath 2005). Irreversible inhibition requires
biotransformation of the inhibitor, while reversible inhibi-
tion can take place directly, without metabolism.
Reversible inhibition is the most common type of enzyme
inhibition and can be further divided into competitive, non-
competitive, uncompetitive, and mixed-type inhibition (Lin
and Lu 1998; Hollenberg 2002; Madan et al. 2002).
Mechanism-based inhibition
Mechanism-based inhibition can occur via the formation of
metabolite intermediate complexes or via the strong,
covalent binding of reactive intermediates to the protein or
heme of the CYP. The most important phenomenon of
mechanism-based inhibition is the time-, concentration-,
and NADPH-dependent enzyme inactivation (Halpert
1995; Lin and Lu 1998). Mechanism-based inhibition is
terminated by enzyme resynthesis and is therefore usually
long-lasting (Halpert 1995; Ito et al. 1998; Kent et al.
2001). In some cases, the metabolic product inactivates the
INDUCERS
2D6<5%
2B6<5%
2C19<5%
2C8~5%
2A6~10%
1A2>10%
2C9>15%
2E1~15%
3A4/5/7>35%
Sparteine
BufuralolPaclitaxel
RepaglinideNicotine
Coumarin
Tolbutamide
S-Warfarin
Phenytoin
Midazolam
Erythromycin
Cyclosporine
Testosterone
Simvastatin
Chlorzoxazone
Acetaminophen
EthanolCaffeine
Phenacetin
BupropionEfavirenz
Omeprazole
S-Mephenytoin
Quinidine
MontelukastMethoxsalen
Tranylcypromine
Sulfafenazole
Fluconazole
Ketoconazole
Itraconazole
Pyridine
Disulfiram
Furafylline
Fluvoxamine
Fluconazole
ThioTEPA
Rifampicin Phenob. Phenob.
Rifampicin
Carbamazepine
Dexamethasone
Ethanol
Isoniazid
TCDD
Smoking
Omeprazole
Phenob.
Rifampicin
nk Phenob.
Rifampicin
Phenob.
Rifampicin
INDUCERS
2D6<5%
2B6<5%
2C19<5%
2C8~5%
2A6~10%
1A2>10%
2C9>15%
2E1~15%
3A4/5/7>35%
Sparteine
BufuralolPaclitaxel
RepaglinideNicotine
Coumarin
Tolbutamide
S-Warfarin
Phenytoin
Midazolam
Erythromycin
Cyclosporine
Testosterone
Simvastatin
Chlorzoxazone
Acetaminophen
EthanolCaffeine
Phenacetin
BupropionEfavirenz
Omeprazole
S-Mephenytoin
Quinidine
MontelukastMethoxsalen
Tranylcypromine
Sulfafenazole
Fluconazole
Ketoconazole
Itraconazole
Pyridine
Disulfiram
Furafylline
Fluvoxamine
Fluconazole
ThioTEPA
Rifampicin Phenob. Phenob.
Rifampicin
Carbamazepine
Dexamethasone
Ethanol
Isoniazid
TCDD
Smoking
Omeprazole
Phenob.
Rifampicin
nk Phenob.
Rifampicin
Phenob.
Rifampicin
SUBSTRATES
INHIBITORS
Fig. 1 Relative abundance of individual CYP forms in the liver and some examples of substrates, inhibitors and inducers. CYPs with clinically
significant genetic polymorphism in gray. Phenob. phenobarbital, TCDD 2,3,7,8-tetrachlorodibenzo-p-dioxin, nk not known
Arch Toxicol (2008) 82:667–715 669
123
enzyme completely (suicide inhibition). Classical mecha-
nism-based inhibitors include the CYP1A2 inhibitor
furafylline (Sesardic et al. 1990; Kunze and Trager 1993)
and the CYP3A4-inhibitor gestodene (Guengerich 1990;
Back et al. 1991).
Reversible inhibition
Reversible inhibition occurs as a result of competition at
the active site of the enzyme and probably involves only
the first step of the P450 catalytic cycle. Binding to the
enzyme takes place usually with weak bonds, which are
both formed and broken down easily. Consequently,
reversible inhibitors act rapidly, but do not permanently
destroy the enzyme (Lin and Lu 1998; Hollenberg 2002;
Madan et al. 2002).
In competitive inhibition, competition between the
substrate and inhibitor to bind to the same position on the
active site of the enzyme takes place. In the noncompetitive
mode of inhibition, the active binding site of the substrate
and inhibitor is different from each other. In the case of
uncompetitive inhibition, the inhibitor binds to the
enzyme–substrate complex, but not to the free enzyme
entity. In practice, mixed-type inhibition displaying ele-
ments of both competitive and noncompetitive inhibition
are frequently observed (Madan et al. 2002).
Inhibition of individual CYP enzymes: examples
of substrates and inhibitors
Many individual members of CYP families exhibit distinct,
but often overlapping, selectivity towards certain substrates
and inhibitors. The most commonly used probe substrates
and diagnostic inhibitors for each CYP form are collected
in respective tables and discussed briefly below. The Km
and Ki values are collected from the appropriate in vitro
studies.
CYP1 family
CYP1A2 is the only hepatic member of the CYP1 family.
CYP1A1 and CYP1B1 are the other enzymes in this
family, of which CYP1A1 is the major human extrahepatic
CYP form (Ding and Kaminsky 2003). The hepatic
expression of CYP1B1 is insubstantial, but otherwise it is
known to be expressed in almost every other tissue (Sutter
et al. 1994; Shimada et al. 1996a, b). All members of this
family are regulated by the AhR-receptor (see ‘‘Induction
of CYP enzymes: mechanisms’’). Besides detoxification,
the CYP1 family members are often responsible for met-
abolic activation of polycyclic aromatic hydrocarbons
(PAHs) and aromatic amines and thus they have been
linked to chemical carcinogenesis (Boobis et al. 1994; Io-
annides and Lewis 2004).
CYP1A2
Initially the expression of CYP1A2 was thought to be
limited only to the liver, but recent studies have shown that
it is expressed along with CYP1A1 in the lung (Wei et al.
2002; Liu et al. 2003). Over 20 single nucleotide poly-
morphisms (SNPs) within CYP1A2 have been reported,
though most of them have been found to be very rare
(Nakajima et al. 1994; Sachse et al. 1999). Despite
extensive interindividual variation in CYP1A2 activity and
systematic sequencing efforts, no predictive CYP1A2
polymorphisms have been reported (Ingelman-Sundberg
et al. 2007). However, recent twin studies have suggested a
strong role of genetic factors in CYP1A2 function (Ras-
mussen et al. 2002).
Substrates and inhibitors of CYP1A2
CYP1A2 is a major enzyme in the metabolism of a number
of important chemicals, which typically belong structurally
to the group of planar polyaromatic amides and amines
Table 2 Examples of in vivo substrate, inhibitor, and inducer for CYP enzymes recommended for study (oral administration) (Huang et al.
2007)
Enzyme Substrate Inhibitor Inducer
CYP1A2 Theophylline, caffeine Fluvoxamine Smokers versus non-smokers
CYP2B6 Efavirenz Rifampicin
CYP2C8 Repaglinide, rosiglitazone Gemfibrozil Rifampicin
CYP2C9 Warfarin, tolbutamide Fluconazole, amiodarone Rifampicin
CYP2C19 Omeprazole, other prazoles Omeprazole, fluvoxamine Rifampicin
CYP2D6 Desipramine, dextrometorphan, atomoxetine Paroxetine, quinidine, fluoxetine
CYP2E1 Chlorzoxazone Disulfiram Ethanol
CYP3A4/5 Midazolam, buspirone, felodipine, etc. Atazanavir, clarithromycin, itraconazole, etc. Rifampicin, carbamazepine
670 Arch Toxicol (2008) 82:667–715
123
(Lewis 2004). Ethoxyresorufin, caffeine, phenacetin, the-
ophylline, clozapine, melatonin, and tizanidine are
biotransformed predominantly by this CYP form (Table 3).
Caffeine clearance has been regarded as ‘the golden stan-
dard’ for in vivo phenotyping purposes due to the
predominating role of CYP1A2 in the overall metabolism
of caffeine and the excellent tolerability of this probe
substrate (Faber et al. 2005). Recently, also oral melatonin
has been suggested as a suitable marker for CYP1A2
phenotyping (Hartter et al. 2001; Faber et al. 2005). For in
vitro purposes, especially phenacetin, but also ethoxyres-
orufin are recommended, whereas the xanthines caffeine
and theophylline are not so favored due to the low turnover
of these compound in vitro (Tucker et al. 2001; Bjornsson
et al. 2003).
Potent inhibitors of CYP1A2 include furafylline, flu-
voxamine, ciprofloxacin, and rofecoxib. Also oral hormone
replacement therapy and oral contraceptives have been
shown to significantly inhibit CYP1A2-mediated metabo-
lism (Laine et al. 1999; Pollock et al. 1999). Furafylline, a
methylxanthine analog, is a selective and potent mecha-
nism-based inhibitor of several CYP1A2-mediated
reactions and is widely employed in in vitro studies.
However, it is not available for in vivo use, since it has
severe interactions with caffeine (Tarrus et al. 1987). For in
vivo study purposes, selective serotonin reuptake inhibitor
fluvoxamine and fluoroquinolone antibiotic ciprofloxacin
are usually applied.
CYP2 family
The human CYP2 family is very diverse and comprises a
number of important drug-metabolizing CYPs. Members of
this family do not share any common regulation patterns
and their substrate specificities and tissue expression vary
substantially. CYP2B6, CYP2D6, and CYP2E1 are the
only functional enzymes in their subfamilies, whereas
CYP2A contains two, and CYP2C four functional mem-
bers. The clinically most important CYP polymorphisms
are found within the CYP2 family (i.e. CYP2C9, CYP2C19,
and CYP2D6).
CYP2A6
At the quantitative level, CYP2A6 is a minor component
among hepatic CYPs (Rostami-Hodjegan and Tucker
2007). Several variant CYP2A6 alleles with distinct fre-
quencies between ethnic populations have been
characterized. Some of these alleles have been associated
with altered nicotine pharmacokinetics and furthermore to
differing smoking habits in variant genotype populations
(London et al. 1999; Raunio et al. 2001). Relatively large
variability in the enzyme activity between individuals has
been described, with a fair proportion of Japanese known to
lack the functional protein completely (Shimada et al.
1996b; Pelkonen et al. 2000).
Substrates and inhibitors of CYP2A6
Substrates of CYP2A6 are usually structurally small and
planar molecules (Lewis 2004). CYP2A6 has a predomi-
nant role in the overall metabolism of nicotine and its
metabolite cotinine (Hukkanen et al. 2005). The 7-
hydroxylation of coumarin is known to be solely catalyzed
by CYP2A6 and therefore coumarin has been traditionally
employed as the prototypical model substrate for this
enzyme (Pelkonen et al. 2000) (Table 4). In addition to
pharmaceuticals, bioactivation of some toxicologically
significant substances such as aflatoxin B1 and nitrosoam-
ines are known to be mediated at least to some extent via
CYP2A6 (Pelkonen et al. 2000; Raunio et al. 2001).
A number of potent inhibitors with variable selectivity
against CYP2A6 have been characterized. The most used
in vitro inhibitors include tranylcypromine and methoxsa-
len (8-methoxypsoralen).
CYP2B6
Initially CYP2B6 was regarded as a minor hepatic CYP in
humans, essentially expressed only in a few livers and with
minor significance in the overall xenobiotic metabolism.
This view has changed over the very last few years and
currently CYP2B6 belongs to a set of important hepatic
drug-metabolizing CYPs (Turpeinen et al. 2006). An
extensive interindividual variability in the expression of
CYP2B6 has been reported, mainly due to genetic factors,
and CYP2B6 has been estimated to represent approxi-
mately 1–10% of the total hepatic CYP pool (Rostami-
Hodjegan and Tucker 2007; Zanger et al. 2007).
Substrates and inhibitors of CYP2B6
The list of CYP2B6 substrates has increased drastically in
the past few years (Turpeinen et al. 2006). CYP2B6 usually
metabolizes non-planar, neutral, or weakly basic molecules
with one or two hydrogen bond acceptors (HBAs) (Lewis
2004). For the metabolic pathway and kinetics of bupro-
pion, cyclophosphamide, ifosfamide, efavirenz, ketamine,
and propofol, CYP2B6 is of considerable importance
(Table 5). In addition to pharmaceuticals, CYP2B6 appears
to both detoxify and bioactivate a number of procarcino-
gens (Code et al. 1997; Smith et al. 2003a). Bupropion has
been suggested as a good model substrate both for in vitro
and in vivo studies. It is extensively metabolized in human
liver, resulting in low levels of the parent compound in
plasma. The major metabolite, pharmacologically active
Arch Toxicol (2008) 82:667–715 671
123
Table 3 Substrates and inhibitors of CYP1A2 enzyme
Drug Reaction Km in HLMs (lM) Specificity near Km References
Substrates
Caffeinea 3N-demethylation 200–500 High Campbell et al. (1987)
Butler et al. (1989)
Tassaneeyakul et al. (1992)
Phenacetinb O-de-ethylation 10–50 lM High Distlerath et al. (1985)
Sesardic et al. (1988)
Brosen et al. (1993)
Tassaneeyakul et al. (1993a)
Ethoxyresorufinb O-de-ethylation 0.11–0.23 Moderate (CYP1A1) Burke et al. (1985)
Tassaneeyakul et al. (1993a)
Bourrie et al. (1996)
Tacrineb 1-Hydroxylation 2.8–16 High Hooper et al. (1994)
Spaldin et al. (1995)
Becquemont et al. (1998)
Theophyllineb N-demethylation 280–1230 High Campbell et al. (1987)
Sarkar and Jackson (1994)
Tjia et al. (1996)
Melatonin 6-Hydroxylation 6 Moderate (CYP1A1, 2C19) Facciola et al. (2001)
Hartter et al. (2001)
Ma et al. 2005
Riluzole N-hydroxylation 30 High Sanderink et al. (1997)
Tizanidine Oxidative metabolism nk Highc Granfors et al. (2004)
Zolmitriptan N-demethylation High Wild et al. (1999)
Ropivacaine 3-Hydroxylation 16 High Oda et al. (1995)
Ekstrom and Gunnarsson (1996)
Flutamide 2-Hydroxylation 18* High Shet et al. (1997)
Rochat et al. (2001)
Frovatriptan Oxidative and reductive
metabolism
nk Highc Buchan et al. (2002)
Balbisi (2006)
Lidocaine 3-Hydroxylation
N-de-ethylation
975–6,395
228–270
High Wang et al. (2000a)
Orlando et al. (2004)
Ropinirole N-depropylation
Hydroxylation
5–518–87 Moderate (CYP3A4) Bloomer et al. (1997)
Mirtazapine 8-Hydroxylation 92–194 Moderate (CYP2D6, 2C9, 3A4) Stormer et al. (2000)
Clozapine N-demethylation 120 Moderate (3A4, 2C) Bertilsson et al. (1994)
Fang et al. (1998)
Tugnait et al. (1999)
Olesen and Linnet (2001)
Drug Mode of inhibition Ki in HLMs (lM) CYP selectivity and
other CYPs inhibited
References
Inhibitors
Fyrafylline Mechanism-based 0.6–0.7 High Sesardic et al. (1990)
Kunze and
Trager (1993)
Clarke et al. (1994a, b)
672 Arch Toxicol (2008) 82:667–715
123
hydroxybupropion, is formed selectively by CYP2B6
(Turpeinen et al. 2006).
Potent inhibitors of CYP2B6 include thienopyridine
derivatives clopidogrel and ticlopidine and the anticancer
agent thioTEPA, which is a very selective inhibitor of this
particular CYP.
CYP2C8
Like in the case of CYP2B6, the importance of CYP2C8
for drug metabolism has been elucidated quite recently
(Totah and Rettie 2005). Also a number of functional
CYP2C8 polymorphisms have been published during
recent years (Dai et al. 2001; Niemi et al. 2003a). Some
SNPs or their combinations in the CYP2C8 gene have been
associated with certain disease states or adverse drug
reactions, but more studies about the importance of
CYP2C8 polymorphisms and also the general role of this
enzyme in drug metabolism are still needed.
Substrates and inhibitors of CYP2C8
Drugs metabolized by CYP2C8 do not share any common
structure or chemical pattern. There seems to be some
overlapping especially with CYP2C9 and CYP3A4
substrates. Drugs with major importance of CYP2C8
include amodiaquine, paclitaxel, cerivastatin, and several
oral antidiabetics such as repaglinide, pioglitazone, and
rosiglitazone (Table 6). Paclitaxel 6a-hydroxylation has
been regarded as the typical index of CYP2C8 activity, but
partly due to the high costs of authentic chemical standards
and unsuitability for in vivo use, other probe substrates
have also gained interest. Recently, the N-deethylation of
the antimalarial amodiaquine was demonstrated as a good
model substrate for CYP2C8 with high affinity and turn-
over rate. So far the applicability of glitazones as model
substrates has been restricted by difficulties in obtaining
metabolite standards.
Known CYP2C8 inhibitors include quercetin, which has
been used for several years for in vitro purposes, and leu-
kotriene receptor antagonists montelukast and zafirlukast.
Although montelukast and zafirlukast are potent inhibitors
of CYP2C8 in vitro, they both are highly bound to plasma
proteins ([99%) resulting in very low free fraction in
humans. Thus these two drugs are not suitable for in vivo
inhibition purposes (Jaakkola et al. 2006a; Kim et al.
2007). The lipid-lowering drug gemfibrozil inhibits
CYP2C8 potently in vivo via its phase II metabolite,
gemfibrozil 1-O-b-glucuronide. Besides CYP2C8, gemfi-
brozil inhibits the organic anion-transporting polypeptide-2
Table 3 continued
Drug Mode of inhibition Ki in HLMs (lM) CYP selectivity and
other CYPs inhibited
References
Fluvoxamine Competitive 0.12–0.24 Moderate (CYP2B6, 2C9, 2C19, 2D6) Brosen et al. (1993)
Rasmussen et al. (1995)
Hartter et al. (2001)
Turpeinen et al. (2005a)
a-Naphthoflavone Competitive 0.01 Moderate (CYP1A1) Tassaneeyakul et al. (1993a)
Tsyrlov et al. (1993)
Ciprofloxacin Competitive 90–290 High McLellan et al. (1996)
Fuhr et al. (1990)
Rofecoxib Mechanism-based 4.8 High? Bachmann et al. (2003)
Karjalainen et al. (2006)
Backman et al. (2006a, b)
Mexiletine Competitive 4.3–8.3 Moderate (CYP1A1) Ogiso et al. (1995)
Konishi et al. (1999)
Propafenone Competitive 21d nk Kobayashi et al. 1998
Enoxacin Competitive 65–170 High Fuhr et al. (1990)
Valero et al. (1991)
nk not knowna Preferred in vivo probe substrateb Preferred in vitro probe substratec Contribution of CYP1A2 to the overall metabolismd Km from cDNA expressed CYP1A2
Arch Toxicol (2008) 82:667–715 673
123
(OATP2)-transporter, which should be noted when evalu-
ating its in vivo effects (Shitara et al. 2004; Schneck et al.
2004).
CYP2C9
CYP2C9 is the predominant CYP2C form with high
abundance among hepatic CYPs (Rostami-Hodjegan and
Tucker 2007). It is polymorphically expressed, and the
importance of the SNPs within CYP2C9 gene is empha-
sized especially with S-warfarin, which uses CYP2C9 as a
major metabolic pathway and possesses a narrow thera-
peutic window with a potentially fatal side-effect profile
(Aithal et al. 1999; Daly and King 2003; Kirchheiner and
Brockmoller 2005).
Substrates and inhibitors of CYP2C9
Besides S-warfarin, CYP2C9 catalyses the metabolism of a
number of other clinically relevant drugs such as fluoxe-
tine, fluvastatin, losartan, and several non-steroidal
anti-inflammatory agents, as well as the classical probe
substrate tolbutamide (Table 7). Tolbutamide methylhydr-
oxylation and diclofenac 40-hydroxylation are both
validated for CYP2C9 marker reactions both in vitro and
in vivo.
Among the recognized inhibitors of CYP2C9 are ami-
odarone, and fluconazole, which both are suitable for in
vivo use, but are relatively unselective. For in vitro pur-
poses, sulphaphenazole is traditionally employed, because
of very high potency and selectivity.
CYP2C19
Drugs metabolized via CYP2C19 are usually amides or
weak bases with two HBAs (Lewis 2004). Compared to
CYP2D6 (see later), polymorphisms of the CYP2C19 gene
represent a smaller proportion and perhaps have less clin-
ical significance in Caucasians, but in Orientals the
frequency of CYP2C19 PMs has been characterized to be
up to 20% of the population (Bertilsson 1995; Ingelman-
Sundberg et al. 2007).
Table 4 Substrates and inhibitors of CYP2A6 enzyme
Drug Reaction Km in HLMs (lM) Specificity near Km References
Substrates
Nicotinea N-10-oxidation 65–95 High Cashman et al. (1992)
Nakajima et al. (1996a, b)
Messina et al. (1997)
Coumarinb 7-Hydroxylation 0.2–2.4 High Pelkonen et al. (1985)
Pearce et al. (1992)
Li et al. (1997)
Walsky and Obach (2004)
Cotinine 30-Hydroxylation 235 High Nakajima et al. (1996b)
Pilocarpine 3-Hydroxylation 1.5 High Endo et al. (2007)
SM-12502 S-oxidation 21 High Nunoya et al. (1996)
Drug Mode of inhibition Ki in HLMs (lM) CYP selectivity and other CYPs inhibited References
Inhibitors
Tranylcypromine Competitive 0.08–0.2 Moderate (CYP2E1) Draper et al. (1997)
Taavitsainen et al. (2001)
Zhang et al. (2001a, b)
Methoxsalen Mechanism-based 0.2–0.8 Moderate (CYP1A2) Maenpaa et al. (1994)
Draper et al. (1997)
Koenigs et al. (1997)
Tryptamine Competitive 0.2 Poor (CYP1A2) Draper et al. (1997)
Higashi et al. (2007a, b)
Pilocarpine Competitive 1 High? Kinonen et al. (1995)
Koenigs et al. (1997)
a Preferred in vivo probe substrateb Preferred in vitro probe substrate? Probably high
674 Arch Toxicol (2008) 82:667–715
123
Substrates and inhibitors of CYP2C19
CYP2C19 participates in the metabolism of many com-
monly used pharmaceuticals, e.g. diazepam, citalopram,
amitriptyline, mephenytoin, proguanil, and phenytoin.
The metabolism of most of the proton pump inhibitors
(omeprazole, esomeprazole, lansoprazole and pantopraz-
ole) is mediated mainly by CYP2C19. Classical marker
reactions for this enzyme include S-mephenytoin
40-hydroxylation and omeprazole 5-hydroxylation
(Table 8).
No selective drug inhibitors for CYP2C19 have been
found yet, but at least omeprazole, ticlopidine, nootkatone,
and fluconazole—all with some affinity towards other
CYPs, too—have been employed for this purpose.
CYP2D6
Since the characterization of the interindividual differences
in the oxidation of debrisoquine and sparteine in the late
1970s, CYP2D6 has become the most studied CYP with
respect to pharmacogenetics. The genetic polymorphism
Table 5 Substrates and inhibitors of CYP2B6 enzyme
Drug Reaction Km in HLMs (lM) Specificity near Km References
Substrates
Bupropiona,b Hydroxylation 89–130 High Faucette et al. (2000)
Hesse et al. (2000)
Turpeinen et al. (2005a)
Efavirenz 8-Hydroxylation 17–23 Moderate (CYP1A2, 3A4) Ward et al. (2003)
Cyclophosphamide 4-Hydroxylation 2,000 Moderate (CYP2C9, 2C19, 3A4) Roy et al. (1999a)
Huang et al. (2000)
Ifosfamide N-dechloro-ethylation 1,900 Moderate (CYP2C9, 2C19, 3A4) Roy et al. (1999a, b)
Huang et al. 2000
Piclamilast (RP 73401) Hydroxylation 8–26 High Stevens et al. (1997)
S-mephobarbital N-demethylation 236–276 High Kobayashi et al. (1999)
Pethidine (meperidine) N-demethylation 45 Moderate (CYP3A4) Ramırez et al. (2004)
Propofol Hydroxylation 8–10 Moderate (CYP2C9) Court et al. (2001)
Oda et al. (2001)
Ketamine N-demethylation 24–48 Moderate (CYP2C9, 3A4) Yanagihara et al. (2001)
Hijazi and Boulieu (2002)
Nicotine N-demethylation 619 Moderate (CYP2A6) Yamanaka et al. (2005)
Artemisinin nk nk Moderate (CYP3A4)c Svensson and Ashton (1999)
Drug Mode of inhibition Ki in HLMs (lM) CYP selectivity and other CYPs inhibited References
Inhibitors
ThioTEPA Mechanism-based 2.8–3.8 High Rae et al. (2002)
Harleton et al. (2004)
Turpeinen et al. (2004)
Richter et al. (2005
Ticlopidine Mechanism-based 0.2–0.8 Moderate (CYP1A2, 2C19, 2D6) Richter et al. (2004)
Turpeinen et al. (2004)
Turpeinen et al. (2005a, b)
Clopidogrel Mechanism-based 1.1 Moderate (CYP2C19, 2C9) Richter et al. (2004)
Turpeinen et al. (2005b)
17-a-Ethynylestradiol Mechanism-based 0.8 Moderate (CYP1A2) Kent et al. (2002)
Palovaara et al. (2003)
a Preferred in vivo probe substrateb Preferred in vitro probe substratec Contribution of CYP2B6 to the overall metabolism
Arch Toxicol (2008) 82:667–715 675
123
within the CYP2D6 gene causes wide and clinically
important variability in CYP2D6 enzyme activity (Ei-
chelbaum et al. 2006; Ingelman-Sundberg et al. 2007).
Ultimate examples of the polymorphism of the CYP2D6
gene include the PMs lacking the functional enzyme, and
the ultra-rapid metabolizers (UMs) having duplications or
multiplications of the gene. Approximately 7 and 5.5% of
Caucasians have been genotyped for CYP2D6 PMs and
UMs, respectively (Zanger et al. 2004; Ingelman-Sundberg
et al. 2007). Wide variability between ethnic groups with
respect to CYP2D6 phenotype exists; for instance, the PM
phenotype is practically absent in Oriental populations and
the UM phenotype is very frequent in certain Arabian and
Eastern African populations (Ingelman-Sundberg et al.
2007). CYP2D6 belongs to the set of most relevant target
genes where genotype/phenotype testing has been
suggested as a useful tool in dosing and monitoring in
clinical practice (Dahl 2002; Kirchheiner et al. 2005; Ei-
chelbaum et al. 2006).
Substrates and inhibitors of CYP2D6
CYP2D6 contributes to the metabolism of dextromethor-
phan, debrisoquine, and bufuralol, which all have been
used as model substrates for this enzyme. Since debrisoq-
uine is no longer available for in vivo studies, also newer
substances like atomoxetine have been introduced for
phenotyping purposes. The metabolism of several b-adre-
noceptor antagonists like metoprolol and propranolol,
several important antidepressants such as fluoxetine and
paroxetine, and atypical antipsychotics like risperidone and
aripiprazole is mediated predominantly via CYP2D6
Table 6 Substrates and inhibitors of CYP2C8 enzyme
Drug Reaction Km in HLMs (lM) Specificity near Km References
Substrates
Repaglinidea Oxidation 24 Moderate (CYP3A4) Bidstrup et al. (2003)
Kajosaari et al. (2005)
Rosiglitazonea p-Hydroxylation
N-demethylation
4–8
12–20
Moderate (CYP2C9) Baldwin et al. (1999)
Paclitaxelb 6a-Hydroxylation 2.5–19 High Desai et al. (1998)
Cresteil et al. (1994)
Ohyama et al. (2000)
Li et al. (2003)
Amodiaquineb N-de-ethylation 1.9–3.4 High Li et al. (2002)
Li et al. (2003)
Walsky and Obach (2004)
Amiodarone N-de-ethylation 19–38 Poor (CYP1A2, 2C19, 3A4) Soyama et al. (2002)
Ohyama et al. (2000)
Tazarotenic acid Sulfoxidation 25 High Attar et al. (2003)
Chloroquine N-de-ethylation 210–444 Moderate (CYP3A4) Projean et al. (2003)
Kim et al. (2003a, b)
Drug Mode of inhibition Ki in HLMs (lM) CYP selectivity and other CYPs inhibited References
Inhibitors
Montelukast Competitive 0.009–0.15 Moderate (CYP2C9, 3A4) Walsky et al. (2005a, b)
Quercetin Competitive 1.1–1.6 Poor (CYP1A2, 2E1, 3A4) Li et al. (2002)
Turpeinen et al. (2005b)
Walsky et al. (2005b)
Trimethoprim Competitive 29–32 High Wen et al. (2002)
Hruska et al. (2005)
Gemfibrozil (glucuronide) Mechanism-based 52–75 High Wang et al. (2002)
Kajosaari et al. (2005)
Ogilvie et al. (2006)
a Preferred in vivo probe substrateb Preferred in vitro probe substrate
676 Arch Toxicol (2008) 82:667–715
123
(Table 9). On structural basis, the common characteristic
for CYP2D6 substrates seems to be, that they are mostly
basic molecules with protonatable nitrogen atom 4–7 A
from the site of metabolism (Lewis 2004).
CYP2D6 is inhibited potently by a variety of different
drugs, of which a large proportion belongs also to the list of
CYP2D6 substrates. Traditionally an antiarrhythmic drug
quinidine has been utilized as a highly selective and very
efficient CYP2D6 inhibitor for metabolism studies. Inci-
dentally, quinidine is not a substrate of CYP2D6.
CYP2E1
Although CYP2E1 is one of the most abundant hepatic
CYPs, only a few pharmaceuticals are metabolized via this
enzyme. However, from the toxicological perspective, the
role of CYP2E1 is without dispute. CYP2E1 has been
studied extensively due to its central role in the metabolism
of ethanol (Kessova and Cederbaum 2003; Lieber 2004), in
the bioactivation of several industrial solvents (Raucy et al.
1993), as an activator of chemical carcinogenesis, and as a
Table 7 Substrates and inhibitors of CYP2C9 enzyme
Drug Reaction Km in HLMs (lM) Specificity near Km References
Substrates
Tolbutamidea,b Hydroxylation 60–580 High Relling et al. (1990)
Veronese et al. (1991)
Bourrie et al. (1996)
Yuan et al. (2002)
Diclofenacb 4-Hydroxylation 2–22 High Leemann et al. (1993)
Li et al. (2003)
Walsky and Obach (2004)
Kumar et al. (2006)
S-warfarinb 7-Hydroxylation 3–4 High Kunze et al. (1996)
Kumar et al. (2006)
Phenytoin 40-Hydroxylation 12–117 Moderate (CYP2C19) Veronese et al. (1991)
Doecke et al. (1991)
Giancarlo et al. (2001)
Losartan Oxidation (E-3174) 4–20 Moderate (CYP3A4) Stearns et al. (1995)
Yasar et al. (2001)
Ibuprofen 2-Hydroxylation
3-Hydroxylation
13–19629–200 Moderate (CYP2C8) Hamman et al. (1997)
Carlile et al. (1999)
Naproxen O-demethylation 92–160 Moderate (CYP1A2) Rodrigues et al. (1996)
Miners et al. (1996)
Tracy et al. (1997)
Flurbiprofen 40-Hydroxylation 6–42 High Tracy et al. (1996)
Yamazaki et al. (1998)
Indomethacin O-demethylation 35 Moderate (CYP2C19) Nakajima et al. (1998)
Drug Mode of inhibition Ki in HLMs (lM) CYP selectivity and other CYPs inhibited References
Inhibitors
Sulphaphenazole Competitive 0.3 High Back et al. (1988)
Bourrie et al. (1996)
Baldwin et al. (1995)
Fluconazole Mixed type 7–8 Poor (CYP2C19, 3A4) Back et al. (1988)
Kunze et al. (1996)
Amiodarone Non-competitive 95 Poor (CYP2D6, 3A4) Heimark et al. (1992)
Ohyama et al. (2000)
a Preferred in vivo probe substrateb Preferred in vitro probe substrate
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123
producer of free radicals causing tissue injury (Caro and
Cederbaum 2004; Gonzalez 2005). CYP2E1 is also linked
to acetaminophen-related hepatotoxicity (Rumack 2004).
Although a number of SNPs within the CYP2E1 gene have
been described, no polymorphisms leading to a loss of
function have been reported (Gonzalez 2005).
Substrates and inhibitors of CYP2E1
The substrates of CYP2E1 usually consist of hydrophobic
and low molecular weight compounds (Lewis 2004). For
modeling purposes, chlorzoxazone is probably the most
widely used, but also the metabolism of acetaminophen,
enflurane, and halothane seems to be mediated to some
extent by CYP2E1 (Table 10). It is noteworthy that several
substrates of CYP2E1 (e.g. ethanol, acetone and pyrazole)
act as inducing agents of this enzyme.
Inhibitors of CYP2E1 include pyridine and disulfiram,
the latter being utilized in clinical practice as a treatment of
alcohol dependence.
CYP3 family
The human CYP3 family represents about 30% of the total
hepatic P450 content and is considered to be the most
important CYP subfamily in the biotransformation of
drugs. This family contains one subfamily including three
functional proteins: CYP3A4, CYP3A5, and CYP3A7, and
one pseudoprotein, CYP3A34 (Ingelman-Sundberg 2005).
These enzymes have overlapping catalytic specificities and
their tissue expression patterns differ.
CYP3A5 is a minor polymorphic CYP form in human
liver (Westlind-Johnsson et al. 2003), but in extrahepatic
tissues it is consistently expressed in kidney, lung, colon,
and esophagus (Ding and Kaminsky 2003; Burk and Woj-
nowski 2004). Despite a few exceptions, the substrate and
inhibitor specificity of CYP3A5 seems to be highly similar
to CYP3A4, albeit the catalytic capability might be some-
what lower (Wrighton et al. 1990; Williams et al. 2002).
CYP3A7 is mainly expressed in embryonic, fetal, and
newborn livers, where it is the predominant CYP form
Table 8 Substrates and inhibitors of CYP2C19 enzyme
Drug Reaction Km in HLMs (lM) Specificity near Km References
Substrates
Omeprazolea,b 5-Hydroxylation 6–10 High Andersson et al. (1993)
Chiba et al. (1993)
Abelo et al. (2000)
S-mephenytoina,b 40-Hydroxylation 23–169 High Chiba et al. (1993)
Coller et al. (1999)
Ohyama et al. (2000)
Walsky and Obach (2004)
Lansoprazole 5-Hydroxylation 15–17 Moderate (CYP3A4) Pearce et al. (1996)
Kim et al. (2003a, b)
Diazepam N-demethylation 120 Moderate (CYP3A4) Andersson et al. (1994)
Yasumori et al. (1994)
Proguanil Oxidation (cycloguanil) 35–380 Moderate (CYP3A4) Coller et al. (1999)
Birkett et al. (1994)
Funck-Brentano et al. (1997)
Drug Mode of inhibition Ki in HLMs (lM) CYP selectivity and other CYPs inhibited References
Inhibitors
Omeprazole Competitive 2–3 Moderate (CYP2C9, 3A4) Chiba et al. (1993)
Ko et al. (1997)
Funck-Brentano et al. (1997)
Ticlopidine Mechanism-based 1.2 Poor (CYP2B6, 1A2, 2D6) Ko et al. (2000)
Ha-Duong et al. (2001)
Turpeinen et al. (2006)
Nootkatone nk 0.5 Poor (CYP2A6) Tassaneeyakul et al. (2000)
a Preferred in vivo probe substrateb Preferred in vitro probe substrate
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123
(Kitada and Kamataki 1994; Hakkola et al. 2001), whereas in
the adult liver, CYP3A7 seems to be a minor form (Schuetz
et al. 1994). CYP3A7 has an important role during the fetal
period in the hydroxylation of several endogenous sub-
stances like retinoic acid and steroid hormones, and therefore
it has relevance to normal embryonal development (de Wildt
et al. 1999; Hines and McCarver 2002). In drug metabolism,
the role of CYP3A7 is not yet clear.
CYP3A4
CYP3A4 is the sixth most abundant enzyme in human liver
at the mRNA level and constitutes the major CYP form in
the liver and the small intestine (Kivisto et al. 1996; von
Richter et al. 2004; Paine et al. 2006; Rostami-Hodjegan
and Tucker 2007). CYP3A4 has a pivotal role in xenobiotic
metabolism, and it has been estimated to be involved in the
Table 9 Substrates and inhibitors of CYP2D6 enzyme
Drug Reaction Km in HLMs (lM) Specificity near Km References
Substrates
Dextromethorphana,b O-demethylation 2.8–22 High Broly et al. (1989)
Bourrie et al. (1996)
Schmider et al. (1997)
Walsky and Obach (2004)
Bufuralolb 10-Hydroxylation 3–30 High Ohyama et al. (2000)
Yuan et al. (2002)
Debrisoquinea 4-Hydroxylation 130 High Kahn et al. (1982)
Boobis et al. (1983)
Distlerath et al. (1985)
Codeine O-demethylation 149 High Dayer et al. (1988)
Mortimer et al. (1990)
Desipramine 2-Hydroxylation 10–15 High von Moltke et al. (1998a)
Atomoxetine 4-Hydroxylation 2.2–2.3 High Ring et al. (2002)
Thioridazine 2-Sulfoxidation (mesoridazine) 62c Moderate (CYP2C19, 3A4) Wojcikowski et al. (2006)
Drug Mode of inhibition Ki in HLMs (lM) CYP selectivity and other CYPs inhibited References
Inhibitors
Quinidine Competitive 0.018–0.06 Good Broly et al. (1989)
Otton et al. (1984)
Otton et al. (1988)
Abdel-Rahman et al. (1999)
Terbinafine Competitive 0.028–0.044 Good Abdel-Rahman et al. (1999)
Vickers et al. (1999)
Paroxetine Competitive 0.15 Moderate (CYP2C9, 2C19) Crewe et al. (1992)
Kobayashi et al. (1995)
Schmider et al. (1997)
Fluoxetine Competitive 0.6 Moderate (CYP2C9, 2C19) Crewe et al. (1992)
Kobayashi et al. (1995)
Schmider et al. (1997)
Norfluoxetine Competitive 0.43 Moderate (CYP2C9, 2C19) Crewe et al. (1992)
Kobayashi et al. (1995)
Schmider et al. (1997)
Sertraline Competitive 0.7 Moderate (CYP2C9, 2C19) Crewe et al. (1992)
Kobayashi et al. (1995)
Schmider et al. (1997)
a Preferred in vivo probe substrateb Preferred in vitro probe substratec Km from cDNA expressed CYP2D6
Arch Toxicol (2008) 82:667–715 679
123
metabolism of approximately 50% of the drugs in clinical
use. The active site of CYP3A4 is very large and flexible
allowing multiple small molecules to be present simulta-
neously in the active site. The substrate binding is
principally based on hydrophobicity with some steric
interactions. A concept where multiple conformations of
the enzyme can exist both in the presence and absence of
substrate has been proposed (Ekins et al. 2003; Scott and
Halpert 2005). The kinetic interaction between CYP3A4
and its substrates is often atypical, making the prediction
and modeling of CYP3A4-mediated drug–drug interactions
troublesome (Ekins et al. 2003; Houston and Galetin 2005).
Substrates and inhibitors of CYP3A4
The known substrates of CYP3A4 vary widely in size and
structure. Among the substrates of CYP3A4 are several
clinically important drugs, e.g. cyclosporine A, erythro-
mycin, nifedipine, felodipine, midazolam, triazolam,
simvastatin, atorvastatin, and quinidine (Table 11), as well
as several endogenous agents including testosterone, pro-
gesterone, androstenedione, and bile acid (Waxman et al.
1991; Patki et al. 2003). Consequently, altered CYP3A4
activity can lead to notable drug–drug interactions and
adverse effects. Bioactivation of some procarcinogens such
as aflatoxin B1 (Aoyama et al. 1990) and PAHs (Hecht
1999) are also mediated partially via CYP3A4.
A relatively low degree of substrate selectivity makes
CYP3A4 susceptible to inhibition by different chemicals.
Inhibitors of CYP3A4 cover a broad variety of structurally
unrelated substances. The most well established and clin-
ically the most relevant inhibitors include certain azole
antifungal agents (ketoconazole and itraconazole), antimi-
crobials (clarithromycin, erythromycin and ritonavir),
antihypertensives (verapamil and diltiazem) and several
herbal and food constituents, e.g. grapefruit juice and
bergamottin (He and Edeki 2004; Fujita 2004). It is note-
worthy that IC50 values for CYP3A4 inhibitors are highly
substrate-dependent, and the use of multiple probe sub-
strates for inhibition studies is thus recommended
Table 10 Substrates and inhibitors of CYP2E1 enzyme
Drug Reaction Km in HLMs (lM) Specificity nearKm References
Substrates
Chlorzoxazonea,b 6-Hydroxylation 39–157 High Ono et al. (1995)
Yuan et al. (2002)
Walsky and Obach (2004)
p-Nitrophenol 3-Hydroxylation 30 High Tassaneeyakul et al. (1993b)
Koop and Coon (1986)
Aniline 4-Hydroxylation 6–24 High Koop and Coon (1986)
Bourrie et al. (1996)
Lauric acid 11-Hydroxylation 130 Moderate (CYP4A) Clarke et al. (1994a, b)
Amet et al. (1995)
Drug Mode of inhibition Ki in HLMs (lM) CYP selectivity and
other CYPs inhibited
References
Inhibitors
Pyridine Not known 0.4 Highc Hargreaves et al. (1994)
Disulfiram Mechanism-based Not known Moderate (CYP2A6) Brady et al. (1991a)
Guengerich et al. (1991)
Kharasch et al. (1998)
Diethyldithio-carbamate Mechanism-based 10–34 Poor (CYP1A2, 2A6, 2B6,
2C8, 3A4)
Guengerich et al. (1991)
Chang et al. 1994
Clomethiazole Noncompetitive 12 ? Hu et al. (1994)
Gebhardt et al. (1997)
Diallylsulfide Mechanism-based 150–188 ? Brady et al. (1991b)
Amet et al. (1995)
a Preferred in vivo probe substrateb Preferred in vitro probe substratec Also an inducer of CYP2E1? Not known
680 Arch Toxicol (2008) 82:667–715
123
Table 11 Substrates and inhibitors of CYP3A4/5 enzyme
Drug Reaction Km in HLMs (lM) Specificity near Km References
Substrates
Midazolama,b 10-Hydroxylation 1–14 High Von Moltke et al. (1996)
Li et al. (2002)
Walsky and Obach (2004)
Yuan et al. (2002)
Testosteroneb 6b-hydroxylation 33–94 High Ohyama et al. (2000)
Yuan et al. (2002)
Patki et al. (2003)
Walsky and Obach (2004)
Felodipinea Dehydrogenation 2.8–6.9 High Baarnhielm et al. (1986)
Walsky and Obach (2004)
Eriksson et al. (1991)
Erythromycina N-demethylation 33–88 High Yamazaki et al. (1996)
Wang et al. (1997)
Nifedipine Oxidation 5–47 High Bourrie et al. (1996)
Patki et al. (2003)
Triazolama 4-Hydroxylation 238–304 High Von Moltke et al. (1996b)
Patki et al. (2003)
Simvastatina Oxidative metabolism 13–59 Moderate (CYP2C8) Prueksaritanont et al. (1997, 2003)
Atorvastatina Hydroxylation 1.5–30 High Kearney et al. (1993)
Jacobsen et al. (2000)
Alprazolam 10-Hydroxylation 63–441 High Von Moltke et al. (1993)
Gorski et al. (1999)
Allqvist et al. (2007)
Cyclosporin A Oxidative metabolism nk High Kronbach et al. (1988)
Christians et al. (1991)
Back and Tjia (1991)
Buspirone Hydroxylation
N-oxidation
4–1134 High Zhu et al. (2005)
Alfentanil N-dealkylation 23 High Lavrijsen et al. (1988)
Tateishi et al. (1996)
Klees et al. (2005)
Quinidine 3-Hydroxylation 30–59 High Guengerich et al. (1986)
Otton et al. (1988)
Nielsen et al. (1999)
Allqvist et al. (2007)
Lovastatin Oxidative metabolism 7–10 High Wang et al. (1991)
Jacobsen et al. (1999)
Eletriptan N-demethylation nk Moderate (CYP2D6) Evans et al. (2003)
Sildenafil N-demethylation 39–129 Moderate (CYP2C9) Warrington et al. (2000)
Hyland et al. (2001)
Vincristine Oxidative metabolism 14–20c High Yao et al. (2000)
Dennison et al. (2006)
Tacrolimus 13-O-demethylation 0.21c High Kamdem et al. (2005)
Dai et al. (2006)
Drug Mode of inhibition Ki in HLMs (lM) CYP selectivity and other CYPs inhibited References
Inhibitors
Ketoconazole Competitive 0.0037–0.028 Moderate (CYP2C, 1A2, 2D6) Back and Tjia (1991)
Baldwin et al. (1995)
von Moltke et al. (1996a)
Patki et al. (2003)
Turpeinen et al. (2005b)
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(Kenworthy et al. 1999; Wang et al. 2000b; Galetin et al.
2003). The detailed characteristics of several CYP3A4
substrates and inhibitors are summarized recently in a
review by Liu et al. (2007).
Inhibition: in vitro–in vivo extrapolation
Inhibitory potency in vitro-inhibition of clearance
Based on the requirements of the authorities, new drugs
need to be tested with respect to their potential to cause
drug–drug interactions (EMEA 1997, U.S. FDA 1997).
These estimations rely primarily on projected in vivo
concentrations of compounds and on estimates of their
inhibitory constants obtained from in vitro studies.
The degree of inhibition depends also on the inhibition
pattern when the substrate concentration is high. How-
ever, when the substrate concentration [S] � Km—which
is the most usual case in clinical use—the degree of
inhibition (R) can be expressed by the following equation
independent of the inhibition pattern, except in the case of
the uncompetitive inhibition (Tucker 1992; Ito et al.
1998):
R ¼ 1
1þ ½I�=Ki
When [S] C Km, the degree of the inhibition can be
estimated from the following assuming competitive
inhibition (Tucker 1992; Ito et al. 1998):
R ¼ ðKm þ ½S�Þ½Kmð1þ ½I�=KiÞ þ S�
In the case of competitive inhibition, it is possible to
calculate the inhibition constants on the basis of
experimentally determined IC50 values using the
Tornheim equation (Tornheim 1994):
Ki ¼½I�
ðV0=V � 1Þð1þ ½S�=KmÞ
A recent study by Obach et al. (2006) involving a variety of
drugs attempted to estimate the utility of in vitro data for
Table 11 continued
Drug Mode of inhibition Ki in HLMs (lM) CYP selectivity and other CYPs inhibited References
Itraconazole Competitive 0.013–0.27 High Back and Tjia (1991)
von Moltke et al. (1996b)
Isoherranen et al. (2004)
Niwa et al. (2005)
Troleandomycin Mechanism-based 0.26c High Newton et al. (1995)
Yamazaki and Shimada (1998)
Soars et al. (2006)
Verapamil Mechanism-based 2.3–2.9 High Yeo and Yeo (2001)
Wang et al. (2005)
Indinavir Competitive 0.17–0.5 High Chiba et al. (1996)
Eagling et al. (1997)
Saquinavir Mechanism-based 0.65–2.99 High Ernest et al. (2005)
Eagling et al. (1997)
Diltiazem Mechanism-based 2.2–5.0 High Yeo and Yeo (2001)
Clarithromycin Mechanism-based 5.5–10 High Ito et al. (2003)
Pinto et al. (2005)
Galetin et al. (2006)
Gestodene Mechanism-based 46 High Guengerich (1990)
Back et al. (1991)
Ritonavir Mechanism-based 0.019–0.17 Moderate (CYP2C9) Eagling et al. (1997)
Koudriakova et al. (1998)
Ernest et al. (2005)
Nelfinavir Competitive 1–4.8 Moderate (CYP2D6) Lillibridge et al. (1998)
Ernest et al. (2005)
nk not knowna Preferred in vivo probe substrateb Preferred in vitro probe substratec Km or Ki from cDNA expressed CYP3A4 and CYP3A5
682 Arch Toxicol (2008) 82:667–715
123
prediction of drug–drug interactions in clinical situations.
They concluded that in vitro inhibition data could be reli-
ably used for predictions for at least CYP1A2, CYP2C9,
CYP2C19, and CYP2D6, while for CYP3A4, the effects of
both hepatic and intestinal metabolism should be consid-
ered. Other factors affecting in vivo–in vitro extrapolation
will be discussed below.
Factors affecting in vitro–in vivo extrapolation
As presented above, affinity and CYP specificity for an
inhibitor can be studied in vitro and further, the potential of
a compound to cause interactions can be revealed. How-
ever, this does not necessarily mean that the compound
would cause clinically significant drug–drug interactions.
For such interactions to take place in vivo, two prerequi-
sites have to be fulfilled: first, the concentration of the
substrate in the in vivo situation should be high enough for
the inhibition to occur in clinical situation, and second, the
therapeutic index of the drug should be narrow, so that the
change caused by the inhibitor would be manifested in
adverse effects (Pelkonen et al. 1998, 2005). Semiquanti-
tative classifications for the extrapolation purposes have
been constructed such as that of Bjornsson et al. (2003)
based to the ratio of Cmax over Ki predicting the clinical
relevance of the interaction in the case of competitive
inhibition (Bjornsson et al. 2003).
However, free inhibitor concentrations at the site of
action (adjacent to the enzyme) are in most cases unknown
in in vivo situations. Based on the hypothesis that only an
unbound fraction of a drug is capable of diffusing into
hepatic tissue, predictions are made assuming that unbound
inhibitor concentrations in plasma and hepatic tissue are
equal (Ito et al. 1998; von Moltke et al. 1998b). For very
lipophilic compounds, this assumption is known to be
false; despite an extensive binding to plasma proteins, their
hepatic concentrations are multiple to their plasma values
(Chou et al. 1993; von Moltke et al. 1998b; Schmider et al.
1999; Cook et al. 2004). A recent analysis by Ito et al.
(2004) suggested that total inhibitor concentrations with in
vitro Ki values would probably be the most useful approach
for the categorization of CYP inhibitors.
Although the expression of CYPs is centered in the liver,
several other barrier tissues such as intestinal mucosa,
lungs, and skin contain metabolic enzymes on a smaller
scale and contribute to xenobiotic biotransformation
(Kapitulnik and Strobel 1999; Ding and Kaminsky 2003).
Knowing that the systemic bioavailability depends both on
the dose absorbed and the fraction surviving from hepatic
and extrahepatic metabolism, it should be noted that espe-
cially intestinal metabolism may affect in vitro–in vivo
extrapolations (Wu et al. 1995; Hall et al. 1999; Kivisto
et al. 2004). However, often the amount of extrahepatic
metabolism is not known and consequently, estimations
concerning the in vivo situation may be misleading.
The role of transporters, especially P-glycoprotein (P-gp)
and human organic anion-transporting polypeptides
(OATPs), has been recognized as a major contributor to
drug–drug interactions. P-gp is known to possess a signifi-
cant substrate overlap with the CYP3A family: drug
substrates for both CYP3A4 and P-gp include cyclosporin
A, verapamil, quinidine, erythromycin, and HIV-1 protease
inhibitors (Wacher et al. 1995; Kim et al. 1999). Among
drug substrates of OATPs are, e.g fexofenadine (Cvetkovic
et al. 1999; Dresser et al. 2002) and pravastatin (Hsiang
et al. 1999; Nishizato et al. 2003). Nevertheless, estimations
concerning the net effect of transporters on interactions are
very uncertain and have been so far poorly taken into
account in in vitro–in vivo extrapolation calculations.
Finally, when estimating clinical significance of the
interaction, one should take into account that results
obtained from in vitro test systems are highly dependent on
several technical aspects including the microsomal protein
amount, incubation time, and initial velocity conditions
used in the test system. The best predictive value is usually
obtained when the substrate concentration used is within
the linear part of the time and protein concentration
dependence curve for the metabolite formation (Maenpaa
et al. 1998; Lin and Lu 1998; Yuan et al. 1999). It is
supposed, with some restrictions, that the values obtained
from inappropriate experimental settings would lead to the
greatest extrapolation error with compounds of intermedi-
ate inhibitory potency (Ghanbari et al. 2006).
Induction of CYP enzymes: mechanisms
Transcriptional regulation by ligand-activated
transcription factors
Induction of CYP enzymes by exogenous compounds is
mediated to major extent by group of ligand-activated
transcription factors. These intracellular receptors involve
aryl hydrocarbon receptor (AhR) that belongs structurally
to the class of basic-helix-loop-helix (bHLH)-Per-Arnt-Sim
(PAS) proteins and nuclear receptors pregnane X receptor
(PXR, NR1I2) and constitutive androstane receptor (CAR,
NR1I3). Together these receptors are able to sense a great
variety of xenobiotics and consequently regulate numerous
phase I and phase II drug-metabolizing enzymes and drug
transporters in order to adjust the organism to the
requirements of the chemical environment. In addition to
these well-established xenosensors some other nuclear
receptors such as estrogen receptor (ER) a and glucocor-
ticoid receptor (GR) may be involved in some induction
phenomena (Higashi et al. 2007a, b; Hukkanen et al. 2003).
Arch Toxicol (2008) 82:667–715 683
123
AhR
AhR is expressed widely in human tissues with highest
expression in placenta, lung, heart, pancreas and liver
(Dolwick et al. 1993). AhR typically accepts hydropho-
bic, planar compounds such as classical AhR activator
2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) as ligands.
However, numerous molecular structures and both
xenobiotics and endogenous compounds have been
described to be ligands for AhR (recently reviewed by
Nguyen and Bradfield 2008). The major classes of
xenobiotic ligands include halogenated dioxins, poly-
chlorinated biphenyls and PAHs. Furthermore, some
dietary compounds can activate AhR. Indole-3-carbinol
present in cruciferous plants appears to, perhaps through
active derivates produced in gastrointestinal track, be
able to activate AhR function (Bjeldanes et al. 1991).
Also several endogenous compounds are AhR agonists;
however, it remains to be shown if any of these thus far
identified compounds represent true endogenous ligands
(Nguyen and Bradfield 2008).
In the absence of a ligand, AhR is located in cytosolic
compartment in complex with chaperone proteins Hsp90,
ARA9 (also known as XAP2 or AIP) and p23 (Carlson and
Perdew 2002). Binding of an agonist launches a confor-
mational change that allows nuclear localization signal to
interact with nuclear import machinery. In the nucleus AhR
dimerizes with another bHLH-PAS protein AhR nuclear
translocator (ARNT) thus forming the actual DNA-binding
complex. The AhR/ARNT heterodimer interacts with
XRE-binding elements with consensus core sequence 50-TNGCGTG-30. The DNA bound AhR/ARNT complex then
activates transcription through recruitment of complex of
multiple coactivators including CBP/p300, SRC-1, NCOA-
2 and Mediator (Kawajiri and Fujii-Kuriyama 2007). The
coactivators in turn modulate the chromatin structure and
interact with the general transcription factors to allow
activation of transcription.
AhR primary regulates expression of genes in CYP
family 1, i.e. CYP1A1, CYP1A2 and CYP1B1. However,
also some CYP2 family members are AhR target genes
(Rivera et al. 2002; Arpiainen et al. 2005) (see Table 12).
Our understanding on molecular details of AhR function is
mainly based on extensive study of CYP1A1 induction
mechanism (for a review see Ma 2001). CYP1A1 is induced
extremely powerfully by AhR ligands while effect on most
other AhR target genes is less pronounced. This may be
due to multiple XRE sites in the CYP1A1 50 flanking region
(Kress et al. 1998). Furthermore, the low constitutive
expression of CYP1A1 may emphasize the magnitude of
induction. Ligand-activated AhR induces expression of
AhR repressor (AhRR), which is able to dimerize with
ARNT and bind XRE, but in contrast to AhR, represses
transcription (Mimura et al. 1999). This may represent a
negative feedback loop.
PXR
Discovery of mouse and subsequently human PXR at the
end of 1990s represented a major breakthrough in under-
standing the molecular mechanisms of many clinically
significant induction phenomena (Kliewer et al. 1998;
Lehmann et al. 1998; Blumberg et al. 1998; Bertilsson
et al. 1998). Human PXR ligands (recently reviewed by
Chang and Waxman 2006) include many therapeutic drugs,
such as rifampicin, known to induce drug metabolism. PXR
has large and flexible ligand-binding pocket which enables
binding of numerous compounds of varying size and
structure (Watkins et al. 2001). There are, however, major
differences in PXR ligand preferences between species
because of poorly conserved ligand-binding domain (Leh-
mann et al. 1998; Blumberg et al. 1998). Thus rifampicin is
a good agonist for human PXR, but poorly activates mouse
PXR. The opposite is true for mouse PXR agonist preg-
nenolone-16a-carbonitrile. These sharp differences in PXR
ligand preferences affect and limit extrapolation of results
from experimental animals to humans. PXR ligands
include also endogenous compounds such as some bile
acids (Staudinger et al. 2001; Xie et al. 2001).
Tissue distribution of PXR is quite narrow. In human,
the main sites of PXR expression are liver and small
intestine while limited expression can be detected in kidney
and lung (Miki et al. 2005). This expression profile is in
good agreement with the putative role as an environmental
xenosensor and coincides with that of a major target gene
CYP3A4. PXR protein level is regulated by microRNA,
which in turn affects CYP3A4 expression level (Takagi
et al. 2008). There has been some controversy about sub-
cellular localization of unliganded PXR. While Koyano
et al. (2004) reported constant nuclear localization of PXR
regardless of the presence or absence of agonist some other
recent studies have suggested cytoplasmic localization and
nuclear transport after ligand binding (Kawana et al. 2003;
Squires et al. 2004). Ligand bound PXR forms heterodimer
with another nuclear receptor RXR. This heterodimer is
able to bind several distinct DNA elements including both
direct and everted repeats of sequence AGGTCA and its’
variants. A number of different coregulators including
SRC-1, p300 and PGC-1 have been reported to interact
with PXR (Orans et al. 2005). Interestingly, in addition to
ligand, also tissue and target gene promoter appear to affect
PXR coactivator interactions (Masuyama et al. 2005).
PXR target genes include members in subfamilies
CYP2A, CYP2B, CYP2C and CYP3A (see Table 13).
Especially regulation of CYP3A4 by PXR has been studied
extensively [for reviews see Burk and Wojnowski (2004)
684 Arch Toxicol (2008) 82:667–715
123
and Plant (2007)]. Initially PXR was found to interact with
ER6 motif present in the proximal promoter of the
CYP3A4 gene (Lehmann et al. 1998). Subsequently
Goodwin et al. 1999 identified a so-called XREM (xeno-
biotic-response enhancer module) in the distal CYP3A4
promoter -7784/-7672 that was found to play a major role
in CYP3A4 induction by PXR ligands. The XREM con-
tains several nuclear receptor-binding elements of which a
DR3 element is of major importance. Both the DR3 ele-
ment in the XREM and the ER6 element in the proximal
promoter are needed for the maximal induction by PXR.
Recently an additional PXR-binding element was identi-
fied in the far upstream region -11400/-10500 (Liu et al.
2008). Similar to XREM also this far module seem to act
in collaboration with the proximal promoter. Hepatocyte
nuclear factor 4 a (HNF4a) has been shown to augment
PXR mediated induction of CYP3A4 (Tirona et al. 2003).
However, there is some controversy if HNF4a DNA
binding is necessary. Tirona et al. (2003) reported that
HNF4-binding element in the XREM is needed for
enhancement of PXR function by HNF4a. On the other
hand, Li and Chiang (2006) suggested that rifampicin-
activated PXR interacts with HNF4a through protein–
protein interaction independently from HNF4a DNA
binding. Regulation of CYP3A4 by PXR has been sche-
matically presented in Fig. 2. Small heterodimeric partner
(SHP) is able to interact with PXR and repress its tran-
scriptional activity (Ourlin et al. 2003). Rifampicin-
activated PXR downregulates SHP transcription (Li and
Chiang 2006), which may enable maximal induction of
PXR target genes such as CYP3A4.
Constitutive androstane receptor
Constitutive androstane receptor is the closest relative of
PXR and is present only in mammals suggesting that CAR
arose from a duplication of an ancestral PXR gene (Resc-
hly and Krasowski 2006). CAR expression is limited to
human liver and kidney and very low in other tissues
(Nishimura et al. 2004). The special feature of CAR is
constitutive activity, i.e. transactivation in the absence of a
ligand. This is because of the unusual structure of the CAR
ligand-binding domain in which the AF-2 (helix 12) is
stabilized to the active confirmation (Xu et al. 2004; Suino
et al. 2004; Shan et al. 2004). Therefore activators of CAR
involve both direct ligand-dependent and ligand-indepen-
dent mechanisms. Similar to PXR also CAR ligands
display species specificity (for review see Chang and
Waxman 2006). Well-established agonists for mouse and
human CAR are 1,4-bis[2-(3,5-dichloropyridyloxy)]ben-
zene (TCPOBOP) and 6-(4-chlorophenyl)imidazo[2,1-
b][1,3]thiazole-5-carbalehyde O-[3,4dichlorobenzyl)oxime
(CITCO), respectively (Chang and Waxman 2006). CAR
constitutive activity can be inhibited with inverse agonist
such as androstanol for mouse CAR (Forman et al. 1998).
In the absence of an activator CAR is retained in the
cytosol in a complex with cytoplasmic CAR retention
protein (CCRP) and Hsp90 (Kobayashi et al. 2003). Phe-
nobarbital is a classical inducer of drug-metabolizing
enzymes and CAR was shown to mediate phenobarbital
induction of mouse Cyp2b10 gene (Honkakoski et al.
1998a). However, phenobarbital is not a direct ligand for
CAR (Moore et al. 2000). Instead phenobarbital induces
nuclear translocation of CAR by a mechanism involving 30
amino acid leucine-rich region in the C-terminus of CAR
(Zelko et al. 2001) and subsequently ligand independent
transactivation. The detailed mechanisms of phenobarbital
induction and CAR translocation are still unclear. Phos-
phorylation events appear to be important. Upon
phenobarbital induction cytosolic CAR complex recruits
protein phosphatase 2A (Yoshinari et al. 2003). Further-
more, extracellular signal-regulated kinase affects CAR
subcellular location (Koike et al. 2007). Phenobarbital also
activates AMP-activated protein kinase, which has been
suggested to be necessary for phenobarbital induction
(Rencurel et al. 2006). In nucleus CAR heterodimerizes
with RXR and binds to DNA-binding elements, of which
many are shared with PXR. Several coactivators including
SRC-1, PGC-1 and GRIP1 have already been shown to
interact with CAR (Timsit and Negishi 2007).
Classical CAR targets include the CYP2B family
members, in humans CYP2B6 (Honkakoski and Negishi
1997; Sueyoshi et al. 1999). CYP2B genes contain 51 bp
phenobarbital responsive enhancer module (PBREM) in
their regulatory regions that constitutes of two DR4 type
Fig. 2 Schematic model of CYP3A4 regulation by ligand activated
PXR. Both ER6 sequence at the proximal promoter -170/-153 (P-
ER6) and XREM sequence at the distal 50 flanking region -7784/-
7672 bind PXR and are necessary for maximal induction. Recently a
novel ER-6 type PXR binding element was identified in the far
module (F-MOD) -11400/-10500 that also appears to coordinate
CYP3A4 induction together with the proximal ER-6 site. HNF4ainteracts with PXR and augments PXR mediated induction. PXR
recruits a number of coactivators which consequently modify
chromatin structure and engage the transcription initiation complex
Arch Toxicol (2008) 82:667–715 685
123
nuclear receptor-binding sites binding CAR/RXR hetero-
dimer and nuclear factor I (NFI) site in between
(Honkakoski et al. 1998b). NFI site is needed for the full
activity of the PBREM (Kim et al. 2001). Mouse PBREM
favors CAR over PXR while human PBREM is less
selective (Makinen et al. 2002). This may explain induction
of human CYP2B6 by typical PXR ligands such as rifam-
picin (Goodwin et al. 2001). In addition to CYP2B
subfamily, CAR regulates members in the CYP2C and
CYP3A families (see Table 13). Also CYP1A2 and
CYP2A6 are modestly induced by phenobarbital in human
hepatocytes but direct involvement of CAR is still to be
shown (Donato et al. 2000; Madan et al. 2003).
Crosstalk of xenosensing receptors
Detailed investigation of signaling mechanism involving
xenosensing receptors has revealed extensive crosstalk
with each other as well as with number of other factors (for
recent review see Pascussi et al. 2008). The levels of
crosstalk involve sharing of ligands, sharing of DNA-
binding elements, receptor–receptor interactions, interac-
tion with common coactivators and secondary regulation of
the regulators. For example CAR and PXR share some
ligands and DNA-binding elements. Furthermore, increas-
ing evidence shows that all AhR, CAR and PXR participate
in regulation of also many other important cellular func-
tions besides regulation of metabolism and transport of
xenobiotics. For example, PXR has been found to interact
with several important transcription factors inducing
HNF4a, FOXA2, FOXO1, CREB and to modify via them
glucose and lipid metabolism (Li and Chiang 2005; Kod-
ama et al. 2004, 2007; Nakamura et al. 2007). This
emerging area of research should help us in the future to
understand complex responses to xenobiotics.
Post-transcriptional induction
Significant post-transcriptional regulation has been shown
only for few CYPs. CYP2E1 appears to be the only CYP
regulated mainly at the post-translational level by xenobi-
otics such as ethanol, acetone, pyrazole and isoniazid
(Song et al. 1989; Carroccio et al. 1994). CYP2E1 protein
has short half life which is significantly increased by
CYP2E1 inducing compounds. In rat liver CYP2E1 protein
is degraded in two phases with half-lives of 7 and 37 h.
However, after 10-day acetone treatment the fast degra-
dation phase was abolished (Song et al. 1989). This
stabilization may involve inhibition of proteosomal deg-
radation pathway (Cederbaum 2006).
Regulation of mRNA stability has been found to medi-
ate induction by xenobiotics in a few cases. Most
extensively has been studied regulation of mouse CYP2A5
by pyrazole which involves binding of heterogeneous
nuclear ribonucleoprotein A1 to the 30-untranslated region
of the CYP2A5 mRNA (Raffalli-Mathieu et al. 2002).
Similar mechanism was reported to regulate also human
CYP2A6 (Christian et al. 2004).
Experimental tools to study induction
Here, we present the current status of methods that have
been developed and used to predict and detect induction in
humans or in human-derived preparations. The methods
involve either assaying various outcomes of agonist bind-
ing to the receptors that govern induction of CYP enzymes,
or direct detection of induced CYP mRNAs and/or activi-
ties. The relative benefits and drawbacks of these methods
are compared in Table 12.
In silico methods
The ability of a chemical to bind the cognate receptor
responsible for CYP induction can be computationally
estimated, and the evolving status of in silico models for
AhR, CAR and PXR has been reviewed (Lewis et al. 2002;
Ekins et al. 2002; Jacobs 2004; Poso and Honkakoski 2006;
Schuster et al. 2006; Vedani et al. 2006). In silico screening
can be performed in two fundamental ways. Briefly, in
ligand-based methods (e.g. QSAR and pharmacophore
models), molecular descriptors extracted from a set of
known receptor ligands will provide rules that will classify
other chemicals as potential CYP inducers via receptor-
mediated mechanisms. The number and breadth of chem-
ical structures used for model building and the use of
separate validation sets are critical for the applicability and
predictivity of the models. In the protein-based approach,
candidate ligands are docked into the 3D structure or a
homology model of the receptor, and evaluation of the
binding fitness by various scoring functions will identify
the chemicals with highest potential for receptor binding
and CYP induction. Combinations of protein- and ligand-
based methods have been also reported (e.g. Schuster and
Langer 2005; Lemaire et al. 2007). In homology models,
inappropriate template structures will lead to erroneous
binding cavities for the modeled receptor (e.g. Xiao et al.
2002; Jacobs 2004), inability to distinguish between ago-
nistic and antagonistic binding (Schuster and Langer 2005),
and naturally, problems in prediction as noted elsewhere
(Schuster et al. 2006; Windshugel et al. 2007). The
dynamic flexibility of the receptor protein has been mostly
omitted in the dockings although it is important for nuclear
receptor function. Only recently, modeling employing
induced fit (Sherman et al. 2006; Nabuurs et al. 2007; Repo
et al., submitted) or with molecular dynamics simulations
686 Arch Toxicol (2008) 82:667–715
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(Poso and Honkakoski 2006) has been done with nuclear
receptors.
For AhR, comprehensive QSAR models covering sev-
eral classes of polyhalogenated and polycyclic
hydrocarbons have been constructed (e.g. Waller and Mc-
Kinney 1992; Mekenyan et al. 1996). A later homology
model yielded a quite robust model with cross-validation
coefficient (q2) of 0.58 or greater (Lo Piparo et al. 2006). In
these studies, p–p stacking interactions, planarity of the
compounds, and electronegative features of the ligand
seem to determine high AhR-binding affinity. Quantum
mechanical calculations that incorporate dispersion inter-
actions and electrophilicity have successfully explained
AhR binding and/or EROD inducibility to a level of 70%
or above (Arulmozhiraja and Morita 2004; Gu et al. 2007).
Due to the lack of 3D AhR structure, direct docking studies
have not been done.
Only few purely ligand-based PXR studies have been
conducted (Ekins and Erickson 2002; Jacobs 2004), in
which PXR ligands seem to have one HBA and four
hydrophobic regions (HPR) and models can classify
ligands as either potent or weak PXR agonists. A machine-
learning system based on structures of 128 PXR activators
and 77 non-activators could correctly predict approxi-
mately four out of five PXR agonists (Ung et al. 2007).
Combined approaches utilizing key residues within the five
3D PXR LBD structures (Poso and Honkakoski 2006; Xue
et al. 2007) suggest the presence of one or two HBAs and
three to five HPRs in PXR activators (Schuster and Langer
2005; Ekins et al. 2007; Lemaire et al. 2007). These ligand
characteristics roughly correspond with the key features of
the PXR LBD with Gln285 and His407 acting as hydrogen
bond donors and several residues contributing to hydro-
phobic interactions.
There is only one pharmacophore model and one QSAR
model on inhibition for the mouse CAR (Ekins et al. 2002;
Jyrkkarinne et al. 2003). The studies published on human
CAR deal with detailed homology modeling and molecular
dynamics simulations (Jyrkkarinne et al. 2005; Windshugel
et al. 2007). Hydrophobic features of the ligand and
interactions with the key LBD residues including Phe161
appear to be critical for CAR activation. On-going studies
in our laboratory have identified a novel 3D-QSAR model
and shown that virtual screening can be used to identify
Table 12 Comparison of methods to assess receptor-mediated induction
Method Advantages Disadvantages
In silico models Relatively good prediction for AhR ligands
within chemical classes
Virtual screening for thousands of
compounds possible
No X-ray structure of AhR available
Binding versus activation not yet clear for
PXR and CAR
Cell-free assays High capacity
Rather inexpensive assays
Use of mechanism-based assays to enhance
specificity
False positives for several binding assays
Reporter assays Receptor-mediated activation is a relevant
endpoint
Medium-to-high capacity
Species differences can be studied easily
No information of extent of target gene
activation
Other mechanisms not accounted for
Continuous cell lines Induction of CYP1A1 readily detected
CYP3A4 only in some cell lines
CAR not present in most cell lines
Many CYPs and other proteins not regulated
properly
Primary hepatocytes Target gene activation
Direct measurement of metabolism possible
Best model of in vivo situation
Variability in response
Poor availability and quality
Loss of functions over time
Liver slices Target gene activation
Direct measurement of metabolism
Instrumentation cost, time
Less validated data
Permeability and heterogeneity issues
Humanized animal models Responses humanized in vivo -like
information
Availability
Modulation by other murine factors
In vivo studies Relevant human in vivo information obtained Human subjects needed cost, time
Focus only on CYP3A4
Results depend on the probe drug used
Arch Toxicol (2008) 82:667–715 687
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novel CAR agonists (Jyrkkarinne et al., submitted; Kubl-
beck et al., submitted).
Cell-free assays
These in vitro assays fall into two different categories. The
first category includes assays where the suspected inducer
competes with a high-affinity radiolabeled ligand (such as
[3H]TCDD for AhR, [3H]clotrimazole for CAR, and
[3H]SR12183 for PXR) for receptor binding in an extract or
a purified receptor preparation, and the amount of bound
label is quantified by standard separation techniques
(Roberts et al. 1990) or by scintillation proximity assays
which have a higher throughput (Moore et al. 2000; Jones
et al. 2000). However, it seems that ligand binding to PXR
is not a very good measure of PXR activation or CYP3A4
induction (Zhu et al. 2004), and due to the high basal
activity of CAR, inverse agonists cannot be distinguished
from agonists with the radiolabel-binding assay (Poso and
Honkakoski 2006).
The assays in the second category utilize a part of the
signaling pathway to detect the activated, agonist-bound
receptor. For example, ligand-elicited formation of AhR/
ARNT complexes on dioxin-responsive DNA elements has
been detected initially by gel electrophoresis (Seidel et al.
2000) and later by more rapid PCR, fluorescence or ELISA
techniques (Sun et al. 2004; Fukuda et al. 2004; You et al.
2006). However, the DNA-binding assay is reported to give
more false positive results than the cell-based AhR reporter
assay (Seidel et al. 2000), and the gel-based assay for
ligand-dependent DNA/receptor complexes for CAR and
PXR has a narrow linear range (Makinen et al. 2002). A
better choice is to measure ligand-dependent association of
CAR and PXR with NR-interacting peptides from a co-
activator such SRC-1 by gel electrophoresis (Frank et al.
2004) or more easily with fluorescent resonance energy
transfer techniques (Moore et al. 2000; Maglich et al.
2003). In the latter case, other detection systems such as
fluorescently labeled microbeads or chemiluminiscence
could be adapted to increase assay sensitivity or throughput
(Rouleau et al. 2003; Iannone et al. 2001).
Cell-based reporter assays
The chemically activated luciferase expression (CALUX)
assay has been used to detect AhR-activating chemicals
(Murk et al. 1996; Whyte et al. 2004). The CALUX is a
very sensitive method, surpassing the sensitivity of the
CYP1A-mediated EROD assay. The CALUX system is
based on the stable transfection of a luciferase reporter,
driven by TCDD-responsive gene promoters or DNA ele-
ments, into hepatoma cells that express a functional AhR
such as rat H4IIE (Long et al. 2003), mouse H1L1.1c2
(Seidel et al. 2000) or human HepG2 cells (Yueh et al.
2005) Therefore, cell line- and species-dependent factors
can affect the results as noted by Long et al. (2003). To
streamline the detection system, green fluorescent protein
(GFP) has been utilized as a simple and inexpensive
reporter for AhR (Nagy et al. 2002).
Because PXR and CAR are not expressed at significant
levels in most continuous cell lines, most activation assays
have relied on transient transfection of CAR/PXR cDNA
and an appropriate responsive reporter plasmid into the
cells, followed by chemical treatment and reporter assays.
In many cases, full-length CAR and PXR receptors control
the expression of natural CYP3A4 or CYP2B6 gene pro-
moters or PXR/CAR-responsive derivatives thereof (Ogg
et al. 1999; Goodwin et al. 1999; Sueyoshi et al. 1999; El-
Sankary et al. 2001; Moore et al. 2002; Makinen et al.
2002). To avoid competition by endogenous NRs for the
response elements and to utilize one common reporter
construct, the mammalian 1-hybrid system has been
employed. Here, the yeast GAL4 DBD/NR LBD construct
drives the ligand-dependent expression of a GAL4-
responsive luciferase reporter (Makinen et al. 2002; Vig-
nati et al. 2004; Jyrkkarinne et al. 2005). Such systems
have been useful in delineating, e.g. species differences in
CAR and PXR ligand responses (Moore et al. 2002;
Makinen et al. 2002; Vignati et al. 2004). PXR- and CAR-
responsive double-stable cell lines have been developed in
order to streamline the procedure and to reduce variability
from the transient transfection step (Trubetskoy et al. 2005;
Lemaire et al. 2007).
However, the use for different promoter and reporter
constructs, different cell lines with variable coactivator and
corepressor contents, varying culture conditions and the
lack of validation gives rise to widely different responses
even with the established PXR ligands (Stanley et al.
2006). For examples, the activation by 10 lM rifampicin
has been reported to vary from fourfold to more than 50-
fold, depending on the assay set-up (e.g. Goodwin et al.
1999; El-Sankary et al. 2001; van Giersbergen et al.
2002a), and contradictory results for CAR modulators such
as clotrimazole have been reported (Moore et al. 2000;
Jyrkkarinne et al. 2005; Faucette et al. 2007). Nevertheless,
due to the high throughput of the assay, transient trans-
fection techniques have already been used to assess human
PXR activation for hundreds of chemicals (Luo et al. 2002;
Zhu et al. 2004; Persson et al. 2006; Sinz et al. 2006). This
method seems acceptable for rapid screening of potential
CYP inducers although their actual influence on the met-
abolic CYP activity cannot be predicted in this way (Luo
et al. 2004). The high constitutive activity of CAR gives
problems for detection of its ligands. For example, Moore
et al. (2002) could not detect any CAR agonists in their
assay in CV1 cells, and agonist responses have often been
688 Arch Toxicol (2008) 82:667–715
123
modest (Kobayashi et al. 2005; Stanley et al. 2006). Such
problems have been circumvented by addition of CAR
inverse agonists in the assay medium (Makinen et al. 2003;
Jyrkkarinne et al., submitted) or by using a CAR splice
variant with attenuated basal activity (Faucette et al. 2007).
Both modifications introduce uncertainties about actual
EC50 values or ligand specificities, respectively. In our
experience, careful selection of the host cell line is essen-
tial for a robust CAR activation assay (Jyrkkarinne et al.
2005; Kublbeck et al., submitted).
Continuous, immortalized and stem cell lines
Many human cell lines express AhR and its partner ARNT
and therefore, increases in CYP1A1-mediated activities
can be detected with the traditional EROD assay, with
novel P450-Glo substrates or by measurement of CYP1A1
mRNA with quantitative RT-PCR methods (e.g. Behnisch
et al. 2001; Westerink and Schoonen, 2007). Even then,
different sources of the same cell line vary in the enzyme
profile, requiring careful characterization (Hewitt and He-
witt 2004). It is notable, however, that in these cells
CYP1A1 is induced while the preferred form in primary
hepatocytes or in liver is CYP1A2 (Zhang et al. 2006). In
contrast, the basal levels of other major CYP mRNAs
(1A2, 2B6, 2Cs, 2D6, 3A4), CYP-mediated activities and
their induction responses are generally very low in HepG2
or other hepatoma cells (Rodrıguez-Antona et al. 2002;
Donato et al. 2008) although the presence of PXR and the
response of CYP3A4 mRNA to rifampicin has often been
demonstrated (e.g. Sumida et al. 2000; Gomez-Lechon
et al. 2001; Westerink and Schoonen 2007; Martin et al.
2008).
More substantial induction of CYP3A4 mRNA and/or
activities and the presence of functional PXR has been
reported in other cell lines of hepatic origin such as FLC-5
(Iwahori et al. 2003), Huh7 (Wang et al. 2006) and HC-04
(Lim et al. 2007). The same is true for some intestinal cell
lines such as LS180 and LS174 but not for Caco-2 cells
commonly used as a permeability model (Pfrunder et al.
2003; Hartley et al. 2006) in which CYP3A4 is up-regu-
lated by the vitamin-D receptor (Schmiedlin-Ren et al.
1997). As far as we know, functional CAR is absent or at
very low levels in all these cell lines. However, it seems
possible to up regulate CAR, PXR and/or CYP expression
to some extent by optimizing culture conditions (Korjamo
et al. 2005; Osabe et al. 2008; Martin et al. 2008), by
encapsulating cells in alginate (Elkayam et al. 2006) or by
selective culture techniques (Rencurel et al. 2005). Most
hepatomas that have been immortalized by, e.g. transfec-
tion of cell cycle inhibitors or telomerase or by other means
appear to express some CYP enzymes. However, their
utility for metabolism or induction studies is limited
(Vermeir et al. 2005). One exception is the SV40-immor-
talized Fa2N-4 cell line (Hariparsad et al. 2008) which
seems to reproduce PXR-dependent induction rather well.
However, Fa2N-4 cells were unresponsive to CAR agonists
indicating a similar lack of CAR expression as in other
continuous cell lines.
A novel cell line HepaRG, derived spontaneously from a
human hepatocellular carcinoma, has recently been intro-
duced (Gripon et al. 2002). At high seeding density and
after differentiation with 2% DMSO, HepaRG cells express
the major CYPs and their regulators including CAR at or
near the levels found in freshly isolated hepatocytes (An-
inat et al. 2006). The extent of CYP mRNA induction in
HepaRG varies according to the culture conditions, but
often reaching values obtained with human hepatocytes
(Aninat et al. 2006; Kanebratt and Andersson 2008). The
long-term stability of HepaRG cultures as compared to
primary hepatocytes makes these cells an attractive alter-
native for prolonged in vitro toxicity studies (Josse et al.
2008).
Many human stem cell lines display hepatocyte markers
upon differentiation in culture and they have been antici-
pated to provide better in vitro cell models. However, in
most cases, these cell lines have very low expression of
CYP mRNAs, proteins or activities (Cai et al. 2007; Ek
et al. 2007; Agarwal et al. 2008, Campard et al. 2008) with
substantial expression of only CYP1A2 and CYP3A4/7 (Ek
et al. 2007). Further work in the development, culture and
differentiation of stem cells is thus warranted.
Fresh, cryopreserved and fetal primary hepatocytes
The golden standard and requirement by the authorities for
induction studies are cultured primary human hepatocytes,
which express all the relevant metabolic enzymes, trans-
porters and their regulators. Their properties and
difficulties in their procurement, variable quality, differ-
ences in genetics and prior exposure to inducers of donors
and problems related to the time-dependent decreases in
enzyme and transporter activity have been excellently
reviewed (Lecluyse 2001; Gomez-Lechon et al. 2003;
Parkinson et al. 2004; Hewitt et al. 2007a). The current
status of how induction studies are and should be con-
ducted has also been reviewed (Hewitt et al. 2007b, c).
Briefly, hepatocytes from several donors are preincubated
for 24–48 h in a (sandwich-type) monolayer in the presence
of low concentrations of dexamethasone to allow stabil-
ization of CYP expression. Cells are then exposed to
increasing concentrations of inducing agents and estab-
lished inducers for 3–4 days before measurement of CYP
marker activities. It should be noted that the induction of
CYP mRNA precedes and often exceeds that of enzyme
activity, and therefore, mRNA levels are often quantified
Arch Toxicol (2008) 82:667–715 689
123
after 24 h of treatment. The assessment of induction at both
mRNA and CYP activity levels will help identify inducing
agents (e.g. ritonavir and troleandomycin) that also inhibit
CYP activities, and the simultaneous measurement of
cytotoxicity only adds to the versatility of the hepatocyte
culture system (Kostrubsky et al. 1999; Luo et al. 2002;
Madan et al. 2003). Induction of phase II transferases and
transporters can also be seen (Soars et al. 2004; Sahi et al.
2003).
Cryopreserved hepatocytes have been plagued by the
low and unpredictable extent of cell attachment after
seeding and lower CYP activities than in fresh hepatocytes,
rendering them questionable for induction studies (Li et al.
1999; Hengstler et al. 2000). Technical improvements have
led to the wider acceptance of cryopreserved hepatocytes
for CYP induction studies despite the fact that basal levels
of some CYP activities are quite low (Garcia et al. 2003;
Roymans et al. 2005; Hewitt et al. 2007b).
Fetal hepatocytes are able to proliferate in culture, but
this advantage is offset by the fact that the profile and
regulation of CYPs and other metabolizing enzymes do not
match the adult situation due to, e.g. low expression of
several transferases, high levels of CYP3A7 and marginal
PXR-dependent induction (McCarver and Hines 2002;
Matsunaga et al. 2004; Maruyama et al. 2007).
Liver slices
Because all cellular systems described above lack proper
3D contacts between hepatic cells, precision-cut liver slices
have been used to investigate drug metabolism and clear-
ance in different species (Lerche-Langrand and Toutain
2000). Despite the loss of CYP activities in prolonged
culture, recent studies have shown that induction of the
major CYP mRNAs can be detected in human liver slices
(Martin et al. 2003; Persson et al. 2006). These data indi-
cate that both AhR-, PXR- and CAR-dependent induction
can be mimicked in slices although the extent of induction
is often lower than in primary hepatocytes (Martin et al.
2003; Edwards et al. 2003). This is most likely due to poor
permeability of the inducing compounds within the slice
fragment. Variability in responses can also complicate the
use of liver slices.
Animal models for human CYP induction
Investigations in an in vivo system would provide better
estimation of clearance, pharmacokinetic/pharmacody-
namic and toxicological consequences of enzyme
induction. Due to species differences in the ligand/sub-
strate/product specificities of the receptors and CYP
enzymes, in vivo studies in laboratory animals are not
predictive for human CYP induction. A classical example
is the selectivity difference between humans and rodents
for induction of CYP3A enzymes by rifampicin and
pregnenolone 16a-carbonitrile, respectively, which is due
to variation at key ligand-binding pocket residues in the
corresponding PXR forms (Stanley et al. 2006). Geneti-
cally modified mice carrying the human AhR (Moriguchi
et al. 2003), PXR (Xie et al. 2000; Ma et al. 2007) or CAR
(Huang et al. 2003) in lieu of the murine receptor have
been created. These humanized mice are useful for studies
of in vivo-like responses to human inducers. Their wider
use may be compromised by the presence of other mouse
proteins that are relevant for compound permeability,
metabolism and potential species differences in the
receptor’s target gene repertoire. To overcome such prob-
lems and to provide a renewable source of human
hepatocytes, immunodeficient mice in which transplanted
human hepatocytes can colonize the liver have been
developed (Tateno et al. 2004). In these chimeric mice, at
least the profile and inducibility of CYP3A4 and CYP1A2
seems to be similar to those in human hepatocytes (Ni-
shimura et al. 2005; Emoto et al. 2008; Katoh et al. 2008).
A recent study reported a more advanced mouse strain
(Azuma et al. 2007) that harbors transplanted human
hepatocytes in which a broad array of CYPs, other enzymes
and transporters and CAR and PXR are expressed at or
near normal levels. More studies on the applicability of
these mice for toxicological research are imminent.
In vivo studies
The focus of human in vivo induction studies has been on
the CYP3A4 enzyme and its reaction products from either
endogenous or exogenous substances. The increases in
urinary excretion of 6b-hydroxycortisol, typically less than
twofold by PB but up to sevenfold by rifampicin, have been
widely used to reflect changes in the CYP3A4 activity
(Galteau and Shamsa 2003). Hydroxylated metabolites of
bile acids, produced by CYP3A4, can be quantified in the
urine of test subjects (Furster and Wikvall 1999; Bodin
et al. 2005), and plasma levels of 4b-hydroxycholesterol
have been reported to reflect CYP3A4 activity and to be
significantly elevated by several CAR/PXR activators
(Bodin et al. 2001; Diczfalusy et al. 2008). For other CYPs,
similar endogenous biomarkers have not yet been identi-
fied. Of the earliest exogenous test substances, the
erythromycin breath test measures [14C]CO2 in the exhaled
air formed by CYP3A4-mediated N-demethylation of
intravenously administered radiolabeled erythromycin
(Watkins et al. 1989; McCune et al. 2000). The safety
issues, together with relative insensitivity and tediousness
of the assay, limit its use mainly to clinical studies. The
changes in pharmacokinetic parameters or metabolic ratios
of specific probe substrates such as midazolam (CYP3A4),
690 Arch Toxicol (2008) 82:667–715
123
caffeine (CYP1A2) and others (see ‘‘Induction of CYP
enzymes in humans in vivo’’) have been detected after
pretreatment with inducers, although the extent of induc-
tion is highly dependent on the selectivity of metabolism
and disposition of the test substrate (Gurley et al. 2002;
Niemi et al. 2003a, b; Faber et al. 2005; Hukkanen et al.
2005; Loboz et al., 2006). Identifying better CYP form-
specific probe substances and the use of cocktail protocols
could provide a wider test battery for human in vivo
induction studies.
Induction of CYP enzymes in humans in vivo
The two preceding sections show that there is consider-
able understanding of basic mechanisms of induction as
well as a variety of tools and experimental setups to study
induction in silico, in vitro and in vivo. It is equally
evident from the above sections that despite the consid-
erably increased knowledge about induction in human,
humanized, or human-derived or mimicking systems,
there is a notable gap between experimental studies and
clinical observations. Consequently, in the following
sections and Table 13 we will present a systematic survey
of the inducers of the specific CYP enzymes in vivo in
humans. Studies with experimental animals and human
cell lines including human primary hepatocytes, which
have demonstrated many other in vitro inducers, are not
included here. In addition, established in vivo inducers
(such as clotrimazole, troglitazone and moricizine), that
are no longer in systemic clinical use and are without
current toxicological interest, are not reviewed here due to
space constraints.
CYP1 family
Although the induction of both CYP1A1 and CYP1B1
enzymes by various inducers are classic examples of CYP
induction, human in vivo induction of CYP1A1 and
CYP1B1 has been difficult to study due to their very low
hepatic levels when compared to CYP1A2 (Chang et al.
2003). Since these three enzymes have overlapping sub-
strate specificities and their induction share regulatory
features with each other as discussed previously, the
induction seen in phenotyping studies usually reflects the
induction of CYP1A2 in liver. Only when gene and
enzyme-specific methods are applied at tissue level can it
be construed that CYP1A1 and CYP1B1 are induced. With
such methods, smoking has been shown to induce CYP1A1
and CYP1B1 in tissues such as lung, liver (only mRNA is
detected) and placenta (Chang et al. 2003; Hakkola et al.
1998; Hukkanen et al. 2002; Huuskonen et al. 2008). Also,
topical coal tar and ultraviolet-B radiation treatments
induce CYP1A1 and CYP1B1 in skin (Katiyar et al. 2000;
Smith et al. 2006). Furthermore, CYP1B1 is induced in
peripheral leukocytes of waste incinerator workers, coke
oven workers and smokers (Hanaoka et al. 2002; Hu et al.
2006; Lampe et al. 2004; van Leeuwen et al. 2007). The
induction of CYP1A1 mRNA and CYP1A protein by
omeprazole occurs in duodenum (Buchthal et al. 1995;
McDonnell et al. 1992). Duodenal CYP1A1 mRNA and
protein are also induced by charbroiled meat containing
diet (Fontana et al. 1999).
The induction of CYP1A2 in vivo has been widely
studied. AhR ligands such as indole-3-carbinole (in cru-
ciferous vegetables), PAHs (in tobacco smoke, charbroiled
meat and coffee) and TCDD induce CYP1A2-associated
activities in humans (Djordjevic et al. 2008; Faber et al.
2005; Landi et al. 1999; Reed et al. 2005). Topically
applied coal tar induced CYP1A2 mRNA in skin (Smith
et al. 2006). The activity of CYP1A2 enzyme as assessed
by theophylline, clozapine, tizanidine, ropivacaine or caf-
feine pharmacokinetics is induced by pharmaceuticals such
as omeprazole (Ma and Lu 2007), rifampicin (Backman
et al. 2006a, b), phenytoin (Miller et al. 1984; Wietholtz
et al. 1989), carbamazepine (Parker et al. 1998), pheno-
barbital (Landay et al. 1978), pentobarbital (Dahlqvist et al.
1989), secobarbital (Paladino et al. 1983), sulfinpyrazole
(Birkett et al. 1983) and ritonavir (Hsu et al. 1998; Yeh
et al. 2006).
CYP2A6
CYP2A6 has recently been shown to be under the regula-
tion of ERa (Higashi et al. 2007a, b). This is reflected in the
increased CYP2A6-mediated nicotine and cotinine metab-
olism in oral contraceptive users (Benowitz et al. 2006;
Berlin et al. 2007). Subjects taking combination oral con-
traceptives and estrogen-only contraceptives had
accelerated nicotine metabolism, whereas progesterone-
only contraceptives did not affect nicotine metabolism
(Benowitz et al. 2006). The induction of CYP2A6 by
estrogens is supported by the findings that female gender
and pregnancy induce nicotine metabolism (Benowitz et al.
2006; Berlin et al. 2007; Dempsey et al. 2002). Also,
CYP2A6 protein is induced in the glandular cells of the
endometrium in the proliferative phase when compared to
the secretory phase (Higashi et al. 2007a, b). There is some
evidence for the induction of CYP2A6 in vivo by pheno-
barbital and other anticonvulsant drugs. Coumarin
phenotyping shows increased metabolism in epileptic
patients treated with carbamazepine, phenobarbital, and/or
phenytoin (Sotaniemi et al. 1995). Two-day treatment with
phenobarbital prior to a liver biopsy resulted in induction
of metabolism of nicotine to cotinine in hepatocytes
(Kyerematen et al. 1990). Liver microsomes from
Arch Toxicol (2008) 82:667–715 691
123
Table 13 Induction of CYP enzymes in humans in vivo by xenobiotics
Enzyme Inducer Receptor involved References
CYP1A1 PAHsa AhR Chang et al. (2003)
Fontana et al. (1999)
Hakkola et al. (1998)
Hukkanen et al. (2002)
McDonnell et al. (1992)
Smith et al. (2006)
Omeprazole AhR
CYP1A2 PAHsb AhR Backman et al. (2006a, b)
Birkett et al. (1983)
Dahlqvist et al. (1989)
Djordjevic et al. (2008)
Faber et al. (2005)
Hsu et al. (1998)
Landay et al. (1978)
Landi et al. (1999)
Ma and Lu (2007)
Miller et al. (1984)
Paladino et al. (1983)
Parker et al. (1998)
Reed et al. (2005)
Smith et al. (2006)
Wietholtz et al. (1989)
Yeh et al. (2006)
Indole-3-carbinolc AhR
TCDD AhR
Omeprazole AhR
Rifampicin PXR
Ritonavir PXR
Sulfinpyrazone PXR
Carbamazepine CAR
Barbiturates (phenobarbital, etc.) CAR/PXR
Phenytoin CAR/PXR
CYP1B1 PAHsd AhR Chang et al. (2003)
Hakkola et al. (1998)
Hanaoka et al. (2002)
Hu et al. (2006)
Hukkanen et al. (2002)
Huuskonen et al. (2008)
Smith et al. (2006)
van Leeuwen et al. (2007)
CYP2A6 Ethinyl estradiol ERa Asimus et al. (2008)
Benowitz et al. (2006)
Berlin et al. (2007)
Cashman et al. (1992)
Kyerematen et al. (1990)
Sotaniemi et al. (1995)
Yamano et al. (1990)
Phenobarbital CAR/PXR
Artemisinin CAR/PXR
CYP2B6 Rifampicin PXR Sustiva (2007) (efavirenz)
Elsherbiny et al. (2008)
Jao et al. (1972)
Ketter et al. (1995)
Kharasch et al. (2008)
Loboz et al. (2006)
Lopez-Cortes et al. (2002)
Saussele et al. (2007)
Simonsson et al. (2003)
Slattery et al. (1996)
Ritonavir PXR
Carbamazepine CAR
Phenobarbital CAR/PXR
Phenytoin CAR/PXR
Artemisinin antimalarialse PXR/CAR
Metamizole Not known
692 Arch Toxicol (2008) 82:667–715
123
Table 13 continued
Enzyme Inducer Receptor involved References
CYP2C8 Rifampicin PXR Bidstrup et al. (2004)
Jaakkola et al. (2006a, b)
Niemi et al. (2000, 2004)
Park et al. (2004)
CYP2C9 Rifampicin PXR Depre et al. (2005)
Dickinson et al. (1985)
Goldberg et al. (1996)
Herman et al. (2006)
Jiang et al. (2006, 2004)
Kay et al. (1985)
Lim et al. (2004)
Miners and Birkett (1998)
Niemi et al. (2001)
O’Reilly (1974)
O’Reilly et al. (1980)
Orme and Breckenridge (1976)
Shadle et al. (2004)
van Giersbergen et al. (2002a, b)
Weber et al. (1999)
Williamson et al. (1998)
Yeh et al. (2006)
Yoshida et al. (1993)
Zilly et al. (1975)
Aprepitant PXR
Bosentan PXR
Ritonavir (with lopinavir) PXR
St. John’s wort PXR
Carbamazepine CAR
Barbiturates (phenobarbital, etc.) CAR/PXR
Phenytoin? CAR/PXR
CYP2C19 Rifampicin PXR Asimus et al. (2007)
Desta et al. (2002)
Elsherbiny et al. (2008)
Heinemeyer et al. (1987)
Mihara et al. (1999)
Richter et al. (1980)
Svensson et al. (1998)
Wang et al. (2004a, b)
Yeh et al. (2006)
Ritonavir (with lopinavir) PXR
St. John’s wort PXR
Artemisinin antimalarialsf PXR/CAR
Barbiturates (phenobarbital, etc.) CAR/PXR
CYP2E1 Ethanol Stabilization Benowitz et al. (2003)
Chien et al. (1997)
Girre et al. (1994)
Gurley et al. (2002, 2005)
Lucas et al. (1995)
Oneta et al. (2002)
O’Shea et al. (1997)
Perrot et al. (1989)
Takahashi et al. (1993)
Tsutsumi et al. (1989)
Zand et al. (1993)
Isoniazid Stabilization
Smoking Stabilization?
St. John’s wort Not known
CYP2S1 PAHsg AhR Smith et al. (2003a, b)
Thum et al. (2006)Topical all-trans retinoid acid RXR?
Arch Toxicol (2008) 82:667–715 693
123
phenobarbital-treated patients have higher amounts of
CYP2A6 protein than microsomes from untreated patients
(Cashman et al. 1992; Yamano et al. 1990). A recent study
showed that artemisinin (antimalarial) administration
affected significantly the pharmacokinetics of both nicotine
and coumarin suggesting induction of CYP2A6 (Asimus
et al. 2008).
CYP2B6
Although induction of CYP2B enzymes by phenobarbital
is the archetypal example of enzyme induction in exper-
imental animals, the induction of human CYP2B6 in vivo
is less well characterized. However, the induction of
CYP2B6 has been shown to occur with several drugs as
evidenced by the changes in the pharmacokinetics of
bupropion by rifampicin, ritonavir and carbamazepine
(Ketter et al. 1995; Kharasch et al. 2008; Loboz et al.
2006), efavirenz by rifampicin and carbamazepine (Sus-
tiva (efavirenz); Lopez-Cortes et al. 2002), S-mephenytoin
(N-demethylation) by several artemisinin antimalarials
(Elsherbiny et al. 2008; Simonsson et al. 2003) and
cyclophosphamide by phenytoin and phenobarbital (Jao
et al. 1972; Slattery et al. 1996). Carbamazepine use has
been associated with high hepatic CYP2B6 protein con-
tent and enzymatic activity in two carbamazepine-exposed
liver samples when compared to 85 non-exposed liver
samples (Desta et al. 2007). Additionally, metamizole was
Table 13 continued
Enzyme Inducer Receptor involved References
CYP3A4 Rifampicin PXR Anglicheau et al. (2003)
Asimus et al. (2007)
Barditch-Crovo et al. (1999)
Dailly et al. (2006)
Darwish et al. (2008)
Dingemanse and van Giersbergen (2004)
Fellay et al. (2005)
Justesen et al. (2003)
Kashuba et al. (2005)
Kuypers et al. (2004)
Luo et al. (2004)
McCune et al. (2000)
Mildvan et al. (2002)
Mouly et al. (2002)
Perucca et al. (1988)
Robertson et al. (2002)
Shadle et al. (2004)
Solas et al. (2004)
Staiger et al. (1983)
van Duijnhoven et al. (2003)
Watkins et al. (1989)
Wing et al. (1985)
Rifabutin PXR
Amprenavir PXR
Aprepitant PXR
Bosentan PXR
Ritonavir PXR
St. John’s wort PXR
Sulfinpyrazone PXR
Topiramate PXR
Carbamazepine CAR
Efavirenz CAR
Nevirapine CAR
Barbiturates (phenobarbital, etc.) CAR/PXR
Phenytoin CAR/PXR
Dexamethasone PXR/GR
Methylprednisolone PXR/GR
Prednisolone PXR/GR
Artemisinin antimalarialsh PXR/CAR
Metamizole Not known
Modafinil Not known
CYP3A5 Rifampicin PXR Burk et al. (2004)
Smith et al. (2006)Topical clobetasol 17-propionate GR
PAH polycyclic aromatic hydrocarbona Smoking, charbroiled meat, topical coal tarb Smoking, topical coal tar, charbroiled meat, coffeec Cruciferous vegetablesd Smoking, topical coal tar, work in coke ovens and waste incineratorse Artemisinin, artemether, arteether, dihydroartemisinin, artesunatef Artemisinin, artemether, arteetherg Smoking?, topical coal tarh Artemisinin, artemether, dihydroartemisinin
694 Arch Toxicol (2008) 82:667–715
123
recently shown to induce CYP2B6 protein and activity in
human liver in vivo (Saussele et al. 2007).
CYP2C8
Studies with pioglitazone, rosiglitazone and repaglinide as
substrates show induction in CYP2C8 activity by rifam-
picin (Bidstrup et al. 2004; Jaakkola et al. 2006a, b; Niemi
et al. 2000, 2004; Park et al. 2004). Rifampicin also
induces CYP2C8 protein in jejunal enterocytes in vivo
(Glaeser et al. 2005). Paclitaxel has been used as a
CYP2C8 probe (Rodriguez-Antona et al. 2007) and pac-
litaxel metabolism is induced in patients treated with
phenytoin, carbamazepine or phenobarbital (Chang et al.
1998; Fetell et al. 1997). However, it seems that these
antiepileptics preferentially induce the minor CYP3A4-
mediated pathway (Chang et al. 1998; Cresteil et al. 1994).
CYP2C9
The induction of CYP2C9 activity has been shown with
rifampicin (Kay et al. 1985; Niemi et al. 2001; O’Reilly
1974; Williamson et al. 1998; Zilly et al. 1975), pheno-
barbital (Goldberg et al. 1996; Orme and Breckenridge
1976; Udall 1975), pentobarbital (Yoshida et al. 1993),
secobarbital (O’Reilly et al. 1980; Udall 1975), carbam-
azepine (Herman et al. 2006), St. John’s wort (Jiang et al.
2006; Jiang et al. 2004), ritonavir (in combination with
lopinavir)(Lim et al. 2004; Yeh et al. 2006), aprepitant
(Depre et al. 2005; Shadle et al. 2004) and bosentan (van
Giersbergen et al. 2002b; Weber et al. 1999) when studied
with warfarin, losartan, phenytoin, tolbutamide or gliben-
clamide pharmacokinetics (reviewed in (Miners and
Birkett 1998). Rifampicin also induces CYP2C9 protein in
jejunal enterocytes (Glaeser et al. 2005). There is some
evidence concerning the inducing effect of phenytoin on
CYP2C9 but good quality studies on the subject are lacking
(Dickinson et al. 1985; Levine and Sheppard 1984).
CYP2C19
CYP2C19 activity measured using S-mephenytoin, ome-
prazole or hexobarbital as probes is induced by rifampicin
(reviewed in Desta et al. 2002), phenobarbital (Richter
et al. 1980), pentobarbital (Heinemeyer et al. 1987), St.
John’s wort (Wang et al. 2004a, b), ritonavir (in combi-
nation with lopinavir) (Yeh et al. 2006) and artemisinin
antimalarials (artemisinin, artemether, arteether) (Asimus
et al. 2007; Elsherbiny et al. 2008; Mihara et al. 1999;
Svensson et al. 1998). Phenobarbital treatment induces
CYP2C19 protein and activity in liver in vivo (Lecamwa-
sam et al. 1975; Perrot et al. 1989).
CYP2E1
As discussed above, both transcriptional and posttran-
scriptional mechanisms influence the induction of CYP2E1
with stabilization of mRNA and protein having major
significance in contrast to many other CYP forms
(reviewed in Lieber 1999). Only a few human in vivo
CYP2E1 inducers are known. The characteristic inducer is
ethanol as shown with increased CYP2E1 mRNA and
protein in liver biopsies and as increased chlorzoxazone
hydroxylation after ethanol administration and in alcohol-
ics (Girre et al. 1994; Lucas et al. 1995; Oneta et al. 2002;
Perrot et al. 1989; Takahashi et al. 1993; Tsutsumi et al.
1989). In addition, CYP2E1 mRNA and protein are
induced in peripheral blood lymphocytes in alcoholics and
correlate with chlorzoxazone clearance in vivo (Raucy
et al. 1999; Raucy et al. 1997). Also the full-term placentas
of heavily drinking mothers express increased levels of
CYP2E1 protein (Rasheed et al. 1997). CYP2E1-related
activities are induced by isoniazid and smoking (Benowitz
et al. 2003; Chien et al. 1997; Mazze et al. 1982; O’Shea
et al. 1997; Zand et al. 1993). The induction of CYP2E1
protein in the brain of the smoking alcoholics when com-
pared to nonalcoholic nonsmokers has been proposed
(Howard et al. 2003). A relatively long-term administration
(28 days) of St. John’s wort induces chlorzoxazone
hydroxylation (Gurley et al. 2002, 2005). Several patho-
logic conditions such as diabetes, nonalcoholic
steatohepatitis and obesity have been associated with the
increased levels of CYP2E1 (reviewed in Lieber 2004).
CYP2S1
The AhR-regulated CYP2S1 enzyme has been implicated
in the chemical carcinogenesis (Saarikoski et al. 2005).
CYP2S1 is induced by coal tar, ultraviolet radiation and
all-trans retinoid acid in skin (Smith et al. 2003b).
Smoking may induce CYP2S1 in bronchoalveolar macro-
phages but not in pulmonary bronchi or placenta
(Huuskonen et al. 2008; Thum et al. 2006).
CYP3A4
A multitude of compounds induce CYP3A4. Since the
literature on human CYP3A4 induction is vast and rapidly
expanding, we refer the reader to a recent review (Luo
et al. 2004) and aim to complement its list of inducers with
latest findings and to fill in certain omissions. As reviewed
comprehensively by Luo and coauthors, there is convincing
evidence for the induction of CYP3A4 activities in vivo by
carbamazepine, phenobarbital, phenytoin, rifampicin,
ritonavir, St. John’s wort and topiramate, as well as
Arch Toxicol (2008) 82:667–715 695
123
troglitazone (withdrawn due to hepatotoxicity) (Luo et al.
2004).
In addition to rifampicin, another rifamycin antibiotic
rifabutin induces CYP3A4 activities (Barditch-Crovo
et al. 1999; Perucca et al. 1988). Other PXR ligands with
proven in vivo CYP3A4 inducing properties include
bosentan (Dingemanse and van Giersbergen 2004), sul-
finpyrazone (Staiger et al. 1983; Wing et al. 1985) and
artemisinin antimalarials (Asimus et al. 2007). Aprepitant,
which is predicted to be a PXR ligand based on in silico
methods (Ekins et al. 2006), induces CYP3A4 slightly as
studied with midazolam as a probe (Shadle et al. 2004).
Modafinil and its R-enantiomer armodafinil induce
CYP3A4 based on their effects on triazolam, midazolam
and ethinyl estradiol pharmacokinetics (Darwish et al.
2008; Robertson et al. 2002). Besides ritonavir, antiret-
rovirals such as efavirenz (Fellay et al. 2005; Mouly et al.
2002), nevirapine (Dailly et al. 2006; Mildvan et al. 2002;
Solas et al. 2004) and amprenavir (Justesen et al. 2003;
Kashuba et al. 2005) induce CYP3A4-related activies.
Metamizole was recently shown to induce CYP3A4 pro-
tein and activity in human liver in vivo (Saussele et al.
2007). Several corticosteroids such as dexamethasone
(McCune et al. 2000; Watkins et al. 1989), methylpred-
nisolone (Kuypers et al. 2004), prednisolone (van
Duijnhoven et al. 2003) and prednisone (Anglicheau et al.
2003) induce CYP3A4 activities. However, smaller doses
of corticosteroids do not seem to induce CYP3A4 (Vil-
likka et al. 1998, 2001).
CYP3A5
The study of CYP3A5 induction in vivo has been ham-
pered by the overlapping substrate and inducer
specificities with CYP3A4, and lower hepatic expression
levels when compared to CYP3A4. Thus, the induction of
CYP3A-specific activities is usually construed as a sign of
CYP3A4 induction. In analogy to CYP1A1 and CYP1B1
in relation to CYP1A2, only when gene and enzyme-
specific methods are applied at tissue level can it be
ascertained if CYP3A5 is induced in vivo. There is only
limited evidence of the CYP3A5 induction in vivo. Rif-
ampicin administration induced duodenal CYP3A5
mRNA in three of eight subjects with some indication of
the effect of CYP3A5 genotype (Burk et al. 2004). Phe-
nobarbital did not induce hepatic CYP3A5 protein in
phenobarbital-treated children (Busi and Cresteil 2005). A
recent study on the induction of CYP enzymes in skin
biopsies showed a significant induction of CYP3A5
mRNA by topical administration of the glucocorticoid
clobetasol 17-propionate (Smith et al. 2006). To the best
of our knowledge, there is no evidence of the induction of
CYP3A7 by xenobiotics in vivo.
Clinical and toxicological consequences of enzyme
induction
As discussed above, the scope of compounds capable of
inducing CYP enzymes in humans is extensive. The clin-
ical and toxicological significance of CYP induction
depends on several factors. These include inducer-specific
aspects such as the potency of the inducer, the dose and the
concentration of the inducer needed for the induction to
occur, the duration of the exposure needed for the induc-
tion to happen, the metabolic properties of the inducer, the
length of the exposure to the inducer, the duration of the
induction once the inducer is withdrawn, the route of the
exposure (e.g. orally, topically or by inhalation), and the
anatomical location of the CYP enzymes induced (e.g.
intestine, skin or lung). Some inducers are also inhibitors of
the same CYP enzyme they induce further complicating the
situation. Especially many of the antiretrovirals with
CYP3A4 inducing properties are potent CYP3A4 inhibitors
as well (Antoniou and Tseng 2005). Significant induction
of CYP3A4 by a potent inducer such as rifampicin may not
have clinical consequences if used short term in the setting
where no comedication is metabolized by CYP3A4.
On the other hand, if the duration of rifampicin treat-
ment is prolonged, complications, such as drug-induced
osteomalacia via the CYP3A4-mediated catabolism of
vitamin-D (1,25-(OH)2-D3) (Zhou et al. 2006), may arise
even without co-medications. The properties of the come-
dications are important factors predicting the consequences
of induction; the risk of significant interactions is increased
if concurrently administered drugs have low therapeutic
indexes or high first-pass metabolism, or the induced CYP
is the major pathway of their metabolism (Park et al. 1996).
For example, the AUC of oral midazolam (a drug with high
first-pass metabolism and CYP3A4-mediated metabolism)
is reduced by 96% if given after rifampicin induction when
compared to AUC in noninduced state (Backman et al.
1996).
Another multitude of factors affecting the consequences
of the inducers are the host-specific aspects such as genetic
variations in the transporters of the inducer, in the enzymes
metabolizing the inducer and in the receptors mediating the
induction and in the CYP genes themselves as well as
diseases, nutritional status, gender and age of the host. All
these factors lead to marked interindividual variability in
the induction of CYP enzymes (Tang et al. 2005). In
general, the lower the baseline enzymatic activity, the
higher the induction achieved with inducers (McCune et al.
2000; Vesell and Page 1969) unless the low baseline
activity is caused by CYP null alleles or other genetic
factors.
The most obvious characteristic affecting the impor-
tance of a specific inducer is the magnitude of the
696 Arch Toxicol (2008) 82:667–715
123
induction; inducer may cause a detectable induction of a
certain CYP enzyme in the controlled setting of a phar-
macokinetic study but if the magnitude of the induction is
minor, it might not have any discernible ramifications in
clinical setting. Nevertheless, the interplay between the
patient’s genetic makeup, the dose of the inducer and the
comedications often complicates the issue. As an example,
omeprazole, an established inducer of CYP1A2, is usually
considered not to have any significant inducing effect at the
dose of 40 mg per day used clinically. However, the same
dose is effective in inducing CYP1A2 in patients who are
PMs of omeprazole (mediated by CYP2C19) and further-
more, a higher dose of 120 mg is sufficient to cause
induction also in extensive metabolizers (Ma and Lu 2007).
Although not yet studied, this type of scenario might also
transpire if a potent CYP2C19 inhibitor like fluconazole
was administered together with omeprazole. Another
example of the interplay between genetic makeup of the
host and the induction potential is the induction of CYP2E1
by isoniazid, which is only seen in patients with slow N-
acetylation status (a major pathway of isoniazid metabo-
lism) leading to higher isoniazid concentrations (O’Shea
et al. 1997).
Generally, for drugs that are active in their parent form,
induction may increase the drug’s elimination and decrease
its pharmacological effect. A well-established case is the
use of CYP3A4 inducers such as St. John’s wort together
with cyclosporine in organ transplant patients leading to
reduced cyclosporine concentrations and organ rejection
(Zhou et al. 2004). Other well-known examples are the
increased risk of pregnancy with oral contraceptives when
combined with enzyme inducing antiepileptics or rifam-
picin, and the problems encountered with warfarin
anticoagulation when inducers are started (reduction in
anticoagulant activity) or when inducers are withdrawn
(increased risk of hemorrhages) (Perucca 2006; Zhang
et al. 2007). For prodrugs, compounds that require meta-
bolic activation and whose effects are produced by the
active metabolites, enhanced pharmacodynamic effects
may be expected. Thus, there is some evidence for the
enhanced antiplatelet activity of prodrug clopidogrel with
CYP3A4 inducers such as rifampicin and St. John’s wort
(Lau and Gurbel 2006). In addition, induction may lead to
increased toxicity if the increased metabolism of the parent
compound is accompanied by the increase in exposure to a
toxic metabolite. For example, anecdotal evidence links the
CYP2E1 induction by ethanol to the increased risk of
carbon tetrachloride toxicity in a setting of accidental
occupational exposure to carbon tetrachloride of fire
extinguishing liquids (Manno et al. 1996).
As is well known, CYP1 family of enzymes is of
importance due to their toxicological significance in the
activation of several procarcinogens to more mutagenic
forms. This is reflected in the finding that the expression
levels of pulmonary CYP1A1 mRNA and protein correlate
positively with the aromatic/hydrophobic DNA adduct
levels in human lung tissue (Cheng et al. 2000; Mollerup
et al. 1999). However, the latest paradigm concerning the
CYP1A enzymes based on studies in CYP1 knockout
mouse lines emphasizes the beneficial effects of these
enzymes in protection against chemical carcinogenesis in
intact organisms (Ma and Lu 2007; Nebert and Dalton
2006). This kind of hypothesis may explain the finding that
phenobarbital treatment has been associated with decreased
amounts of the aromatic amine-hemoglobin adducts in
smoking epileptics (Wallin et al. 1995). The detailed pic-
ture of the significance of the carcinogen-metabolizing
CYP enzymes in general and their induction specifically is
yet to emerge.
Research needs and future trends
Inhibition and drug–drug interactions
Despite some deficiencies and uncertainties in in vitro
inhibition screens (see ‘‘Inhibition: in vitro–in vivo
extrapolation’’), they are used widely in drug industry (and
also increasingly in food and chemical industries) and there
seems to be a general consensus that their performance is
relatively good. Drug regulatory agencies have provided
guidances in the hope of harmonizing the approaches to
screen drugs by in vitro and in vivo investigations. Har-
monization is intimately linked with the standardization of
CYP probe substrates, inhibitors and inducers and with the
development of classification systems to improve the risk
communication to all concerned stakeholders (Bjornsson
et al. 2003).
Despite promising results of in vitro inhibition screens,
there are still some areas which need further development.
One is the relatively narrow focusing on CYP enzymes.
Admittedly they are of primary importance for drug and
chemical metabolism, but there are a huge number of other
drug-metabolizing enzymes, which may be of importance
for individual drugs and chemicals and which are not
covered by current screening systems. This area certainly
needs much further work in the future. A partial solution to
this problem may be a use of substrate loss assays in a cell
(hepatocyte)-based assays for inhibition screens, because
such a system should be able to take into consideration the
totality of enzymes metabolizing a particular drug or a
chemical.
In silico tools are also available for predicting substrates
and inhibitors of CYP enzymes as well as ligands of AhR,
PXR, and CAR, but their prediction power needs to
improve before they can be routinely used in drug
Arch Toxicol (2008) 82:667–715 697
123
metabolism or safety evaluation. Another important ques-
tion concerns extrapolation models; the precision of
prediction is dependent on what kind of model is selected.
The application of some physiologically based pharmaco-
kinetic models, such as Simcyp or PK-Sim (see Pelkonen
et al. 2008), seem capable of providing a fairly reliable
projection to the in vivo situation. Modeling and simula-
tion, however, always brings forth the necessity of
validation, which is a primary concern from the application
point of view of any in silico (or in vitro, for that matter)
approach.
Induction
Looking back at the phenomenal development of nuclear
receptor field, one cannot help thinking that their role
should be more or less completely defined in the near
future. On the other hand, increasing number of tran-
scription factors, coactivators, corepressors, their
interwoven roles and cross-talk between various regulatory
pathways are making the regulatory studies very complex
and we expect that new factors and concepts will emerge to
better understand the regulation of induction phenomenon.
Actually it seems that ‘induction’ as understood until now
is only a small part of regulatory devices to keep homeo-
stasis and adjust the organism to a changing chemical and
biological internal milieu and environment. However, it
may be difficult to predict these developments at least to
what extent they affect drug development, toxicological
risk assessment and clinical drug therapy.
In our opinion, three major fields will emerge within
development of experimental tools. First, receptor-based
reporter assays will become a widely used system to pre-
dict CYP induction although their validation with primary
hepatocytes will be needed. Second, further research on
renewable cell lines is warranted to provide an unlimited
source of hepatocyte-mimicking cells for metabolism,
induction and toxicity studies. Third, improved in silico
algorithms will be needed that can help distinguish true
receptor agonists from large sets of chemicals. No doubt,
these developments, if fulfilled, will help enormously
especially drug development, but also chemical risk
assessment.
The development of hepatocyte-mimicking cells will
also help the targeting of in vivo induction studies.
Currently there is a large gap between a profusion of
compounds suggested to be inducers on the basis of
current in vitro tools and reliable in vivo induction data
in humans. Another problem in characterizing induction
in vivo (and partially in vitro cellular systems) is the
outdated terminology (Smith et al. 2007). The response
should be characterized by both potency (e.g. EC50 or
ED50) and maximal response in a given system to be
able to compare various compounds and their effects at
the cellular or organism levels. This would help also
judge about whether the induction by a given compound
would cause clinically relevant consequences (Smith
2000).
Acknowledgments The authors wish to thank the following sources
for support to their research: The Academy of Finland, the Finnish
Funding Agency for Technological Research and Innovation (TE-
KES), The EU COST Programme (COST B15 and COST B25).
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