Manuscript received 15 October 1995; manuscript accepted
20 November 1995.
The authors thank the National Institute of Health for
the financial support (grants GM 36426, ES 06973, and DA 08531 to JRC).
Address correspondence to Dr. John R. Cashman, Seattle
Biomedical Research Institute, 4 Nickerson Street, Suite 200, Seattle,
WA 98109. Telephone: (206) 284-8846, ext. 310. Fax: (206) 284-0313.
Abbreviations used: FMO, flavin-containing monooxygenase;
CL, clearance; F, bioavailability; V, volume of distribution; Q, organ
blood flow; C, concentration of chemical; AUC, area under the concentration
time curve; fu, fraction of chemical unbound; Vmax,
maximum rate of metabolism; Km, Michaelis-Menten constant; AUMC,
area under the moment curve; B, body weight; BW, brain weight; EsD, esterase
D; UDPGT, uridine diphosphate glucuronosyltransferase; 2-AAF, 2-acetylaminofluorene;
UDPGA, uridine-5´-diphospho-*-d-glucuronic acid.
Introduction
For over 25 years, the concept of bioactivation of chemicals to reactive
intermediates that covalently modify critical proteins and DNA which in
turn alter key cellular function has been thoroughly established. Examples
of the bioactivation of chemicals to form toxic substances following the
paradigm developed many years ago (Figure 1) and refined in terms
of mechanism and site of action have been reported for numerous chemicals
including bromobenzene, acetaminophen, aflatoxin, polycyclic aromatic hydrocarbons,
arylamines, and organophosphates to name a few (1). The purpose of this
review is to present an overview as to how in vitro and in vivo
pharmacokinetic parameters could be useful in understanding the conceptual
framework for the disposition and detoxication of environmental chemicals.
While the ability to predict which chemicals will follow the events outlined
in Figure 1 is instrumental to the prediction of toxicity of a chemical,
the prediction of metabolic detoxication could be equally important. In
general, the details of metabolic detoxication are less appreciated than
the science of metabolic bioactivation of chemicals to toxic species. This
perspective will focus on the molecular basis for chemical detoxication.
Where possible, the significance of metabolic detoxication to environmental
chemicals will be presented. The detoxication enzymes that will be discussed
in detail include cytochromes P450, flavin-containing monooxygenase (FMO),
carboxylesterases and other esterases, as well as glucuronosyltransferases.
As a prelude to the presentation of examples of metabolic detoxication of
environmentally relevant chemicals, we will first describe some general
approaches to examine the role of in vitro metabolism studies in
the prediction of in vivo toxicity data.
The manifestation of clinical toxicity of chemicals is often dependent
upon the peak plasma concentration achieved, the duration of exposure to
the toxic entity above a particular threshold, or the amount of toxin accumulated
in the body. To determine the exposure to the toxic entity and to assess
the impact of such exposure, one needs to answer the following questions:
How much of a chemical gets into the systemic circulation and to the site
or organ of bioactivation? Where in the body will the chemical distribute?
How long does the chemical remain intact in the body? How does the chemical
get eliminated from the body? Is the chemical metabolized into other entities?
Is the toxic effect derived from the exposed chemical or from metabolites?
How much chemical in the body is needed to elicit the toxic effect? Are
these toxic reactions reversible? Thus, an understanding of the absorption,
distribution, and elimination of a specific chemical will allow the prediction
of the occurence of potential toxicities.
The basic principle of toxicokinetics used in environmental science is
directly derived from pharmacokinetics. Toxicokinetic parameters of a specific
chemical in man can be predicted by allometrically scaling the corresponding
parameters obtained in animals. These phamacokinetic/toxicokinetic parameters
in animals can be obtained from in vivo studies. The parameter, clearance,
can be estimated from in vitro metabolism data also. Derivation of
parameters used in pharmacokinetics can be found in reviews and textbooks
(2-4) and will not be described in detail here. An overview of several equations
useful for calculating fundamental pharmacokinetic parameters from in
vivo and in vitro data will be presented, and parameter scaling
by allometry will also be introduced and contrasted to physiological modeling.
Quantitating Exposure
From in vivo studies in which the chemical of interest is given
to animals, blood or plasma concentrations of a chemical at various time
points are usually available and determined. When steady state is reached
after multiple dosing or with constant infusion, the concentration (Css)
can be predicted as:
Css=F x dose/(t x CL) [1]
where t is the dosing period, CL is the total clearance, and F is the
bioavailability.
The term clearance describes the rate at which a chemical is eliminated
from the body. Clearance may be calculated as the available dose (F x dose)
divided by the area under the systemic chemical concentration-time profile
(AUC):
CL=Fx xdose/AUC. [2]
Substituting Equation 2 into Equation 1, one will obtain:
Css=AUC/t. [3]
Thus, the ability to correctly predict Css is dependent upon
the accuracy of the measurement of AUC.
The bioavailability (F) of a chemical product via various routes of administration/exposure
is defined as the fraction of unchanged chemical that is absorbed intact
and reaches the systemic circulation following administration by any route.
For an intravenous (iv) dose of a compound, bioavailability is defined as
unity. For chemicals administered by other routes of administration, bioavailability
is often less than unity:
F=AUCnon iv/AUCiv [4]
In many instances, the response to a particular chemical exposure, particularly
toxicity, is related to the amount of a chemical in the body rather than
the systemic concentration. The amount in the body at steady state (Ass)
is the product of the systemic concentration and the steady-state apparent
volume of distribution (Vss):
Ass=Css x Vss. [5]
The apparent volume of distribution relates the amount of chemical in
the body to the concentration of the chemical in the blood or plasma. The
apparent volume of distribution does not represent a real volume. Rather,
it is an apparent volume that should be considered as the size of the pool
of body fluids that would be required if the chemical was equally distributed
throughout all portions of the body. At steady state, Vss reflects
the sum of the volumes of all the pools into which the chemical may distribute.
Vss can be calculated from the AUMC, area under the moment curve,
(i.e., an integration of the concentration x time vs time profile) and AUC
as defined by Benet and Galeazzi (5):
Vss=doseiv x AUMC/AUC2.
[6]
Half-life (t1/2) is also an extremely useful kinetic parameter
for assessing exposure to a chemical. By definition, half-life is the time
required for 50% of the chemical remaining in the body to be eliminated.
It is the relationship between the apparent volume of distribution and the
total clearance:
t1/2=0.693 x V/CL. [7]
If the dosing interval (proportional to 1/exposure frequency) is short
relative to half-life, significant accumulation will occur. Thus, the half-life
parameter allows one to predict chemical accumulation within the body and
quantitates the approach to plateau that occurs with periodic or constant
toxicological/environmental insult.
Toxins with very short half-lives
may have a smaller impact on human health because they will have a problem
maintaining concentration levels at which toxicities may occur. On the other
hand, chemicals with very long half-lives will accumulate in the body and
possess negative characteristics in terms of toxicities. However, if toxicity
occurs as a result of the formation of toxic metabolites, then it is the
half-lives of such toxic metabolites that will form a relationship with
the level of toxicity exposure.
Among the parameters mentioned above, clearance can sometimes be found
from in vitro studies. For example, if the total clearance of a compound
is related primarily to oxidative metabolism by the hepatic cytochromes
P450 (i.e., CL ~ CLhep), then the in vivo clearance can
be predicted from data obtained from liver slices, hepatocytes, or liver
microsomal incubation studies. However, it is important to note that the
accuracy of this prediction will be compromised if, for example, cooperative
or competitve binding to the metabolic enzyme by other substrates occurs
in vivo, or substantial nonspecific binding of the substrate occurs
either in vitro or in vivo.
The organ clearance of a compound can be limited by any diffusion barrier
that exists between the blood and the organ of elimination. If one assumes
zero diffusion barrier, as well as instantaneous and complete mixing, the
simplest model that describes hepatic clearance in terms of physiologic
parameters is the well-stirred model (6). The well-stirred model (Equation
8) states that hepatic clearance (CLhep with respect to blood
concentration) is influenced by hepatic blood flow (Qhep), the
fraction of compound in blood that is free from plasma protein binding (fu),
and the intrinsic ability of the organ to eliminate a chemical (CLint).
For compounds that are quickly metabolized, the hepatic clearance will approach
hepatic blood flow. For compounds that are slowly metabolized, hepatic clearance
approximates fu x CLint:
CLhep=Qhep x fu x CLint/(Qhep+fu
x CLint). [8]
The intrinsic ability of an organ to metabolize a chemical is directly
proportional to the activity of the metabolic enzymes in the organ. Such
metabolic processes are characterized by Michaelis-Menten kinetics:
Rate of metabolism=Vmax x C/(Km+C)
[9]
in which Vmax, the maximum rate at which metabolism can proceed,
is proportional to the total concentration of enzyme. KM is the
Michaelis-Menten constant corresponding to the chemical concentration that
yields 1/2 of the maximum rate of metabolism. Dividing both sides of Equation
9 by the substrate concentration in the organ (assuming the same free concentration
at the metabolic site in vitro and in vivo and in the venous
blood) yields:
Rate of metabolism/C=Vmax/(Km+C)
Rate of metabolism/C=CLhep/fu.
[10]
Since identification of saturable metabolism only occurs for low extraction
ratio compounds (3) (i.e., fu x CLint~CLhep),
the relationship between classical enzyme kinetics and pharmacokinetics
is revealed if it is assumed that the entire pool of substrate is freely
available, and the substrate concentration is much lower than Km:
fu x CLint/fu
CLint=Vmax/(Km+C)
CLint/fu
Vmax/(Km).
[11]
The units for Vmax and Km in in vitro experimental
conditions are generally microgram per minute per nanomole of metabolic
enzyme in the incubation medium and micrograms per milliliter, respectively.
In the case of cytochrome P450 isozymes which distribution in the liver
is generally considered to be homogeneous, scaling up of the Vmax
to describe the turnover produced by the whole liver (in the unit of µg/min)
in the well-stirred model can be achieved (Table 1).

CL
CLhep=Qhep
x fu x (Vmax/Km)
CLCLCL CL CL hep=/[Qhep+fu
x (Vmax/Km)]. [12]
Prediction of Human Pharmacokinetic Parameters from
Animal Data
Once pharmacokinetic parameters are obtained via either in vitro
methods or in vivo animal studies, the next crucial task is to extrapolate
them to humans. Two approaches frequently used are interspecies allometric
scaling and physiological modeling. Based on an entirely empirical approach,
allometric scaling in general produces good data for chemicals solely or
primarily eliminated from the body by processes such as biliary, renal,
or pulmonary excretion. Physiological scaling requires more data, model
designing, mathematical prowess, and interpretation and is therefore much
more complex. In many instances, due to the lack of data, many of the initial
parameters needed in the physiological model are estimated by allometric
scaling. The allometric approach will be described in detail, and the physiological
modeling approach will be briefly discussed.
Allometric Scaling
Interspecies scaling is a method of interpolation and extrapolation of
the underlying anatomical, physiological, and biochemical similarities in
mammals. Many of these similarities, or differences, are related to the
size of the species. It has been recognized that many of the physiological
parameters (7) that ultimately determine the values of various pharmacokinetic
parameters are related across species according to their body weights raised
to a certain power (7). This relationship between the rate of biological
processes and body weights is linked by the metabolically active mass in
a unit termed the ergosome (8). The metabolically active mass is hypothesized
to correlate with the rate at which oxygen and oxidizable materials are
delivered to metabolically active cells (8). The size of the metabolically
active mass, or the number of ergosomes a species has, equals Bn
where B is the body weight, and n is the allometric exponent (8). Thus,
the rationale for normalizing data on the ordinate by a power function of
body weight is based upon this premise. Allometric equations that relate
a physiological variable to a one-term power function used in concert with
the body weight is generally represented as
Y=aBn. [13]
It has also been found that, at times, the single-term power function
is incapable of fully characterizing biological and pharmacokinetic processes
for all mammals. Sacher (9) found that by accounting for both brain weight
(Bw) and body weight using a two-term power function, i.e.,
Y=a x Bb x (Bwc) [14]
processes such as the maximum lifespan potential can be more adequately
described (9). Pharmacokinetic processes such as intrinsic clearance for
compounds eliminated by the mixed function oxidases (10), when expressed
relative to maximum lifespan potential instead of chronological time, also
correlate well with body weight across species (11-13).
Because the allometric exponents for most biological processes, with
some exceptions, are less than 1 (7), it is apparent that smaller animals
will have smaller individual physiological variables than the larger animals.
Yet, it was discovered that, for all species, a constant relationship exists
between particular physiological variables within each species. For example,
the breath:heartbeat ratio is 4 for all mammals regardless of their sizes
(14), or the number of heartbeats per maximum life span is 8.6 x 108
(15). In other words, smaller mammals are performing the same physiological
functions in the correct relative quantities but at a much quicker pace
than larger animals.
The notion of smaller animals performing the same physiological functions
in the correct relative quantities but at a much quicker pace than larger
animals leads to the introduction of time equivalence as well as phramacokinetic-space
time. The chronological time on the abscissa is adjusted by a power function
of body weight to yield a time equivalence termed pharmacokinetic time.
Pharmacokinetic time is a species-dependent unit of chronological time required
to complete a species-independent pharmacokinetic event (14). Each species
is endowed with its own particular ideal (mathematical) space-time continuum,
which in turn is related to the organism's total body mass (8). A summary
of the different pharmacokinetic-space time parameters is presented in Table
2 (8,16).

When data for the ordinate and the abscissa are scaled to a power function
of body weight, concentration-time profiles of chemicals administered to
different species will collapse into one single profile as demonstrated
in the elementary Dedrick plot (8,17-19) and the complex Dedrick plot (8).
If the clearance (CL) and the volume of distribution (V) of a compound is
defined by the allometric functions:
CL=aBxBwZ [15]
and
V=bBy, [16]
then plasma concentration (C) after an iv bolus dose is as follows, assuming
Z equals 0:
C=(D/V)e-kt [17]
=(D/bBy)e-(a/b)(Bx-y)t
[18]
C/(D/By)=(1/b)e-(a/b)(t/By-x)
[19]
Hence, the parameter on the ordinate will be normalized by dose per body
weight raised to the power of y, and the time on the abscissa will be normalized
by By-x (Equation 19). The difference between the elementary
Dedrick plot and the complex Dedrick plot is that, in the elementary Dedrick
plot, y takes on the value 1. Examples of such superimposability between
species are found in antipyrine disposition (8) using the elementary Dedrick
plot and chlordiazepoxide disposition (Figure 2) with the complex
Dedrick plot (8). The beauty of using allometric scaling is that pharmacokinetic
parameters can be easily related from one species to another by a simple
expression (8). For example:
t1/2 man=t1/2 dog (Bman/Bdog)y-x
[20]

Figure 2. Complex
Dedrick plot of chlorodiazepoxide data. Body weight power on abscissa equals
Y-X, 0.58-(-0.17). Units on the abscissa (time/B0.75) are apolysichrons.
Allometric volume expressions are solved for liters. Reproduced with permission
from Boxenbaum and Ronfeld (8).
Recent work by Lave et al. (20) reported that increased accuracy in the
prediction of clearance of mafarotene, a compound eliminated exclusively
by metabolism, can be achieved by integrating in vitro metabolic
data with in vivo pharmacokinetic data from animals. in vivo
clearance from each animal species is normalized by the ratio of in vitro
metabolic clearances in the corresponding animal species and man (Figure
3):
CLrat, normalized=CLrat*CLman,
microsomes
/CLrat, microsomes [21]

Figure 3. Allometric scaling of clearance
of mafarotene normalized with in vitro data
obtained from microsomes or hepatocytes. For microsomes, y=0.823x+1.035,r2=0.999;
for hepatocytes, y=0.784x+1.024,r2=0.972. Projected oral clearance
values for man were 5.1 and 4.2 ml * min/kg, respectively. Reproduced with
permission from Lave et al. (20). *Represents observed oral clearance
in man (equal to 7.5 ml * min/kg).
The in vitro metabolic clearances can be obtained from either
hepatocyte or microsomal incubation data, as described by Equation 10. The
normalized clearance values in animals were then extrapolated to humans
using allometric scaling (Figure 3).
Allometric scaling is useful not only in estimating individual pharmacokinetic
parameters (21-24) but also in estimating the entire pharmacokinetic
profile (25), as well as toxicity end points (15). It may also offer a way
to determine which larger animal to use in toxicology testing (15) and what
doses to use in toxicity testing (15); allometric scaling potentially leads
to the reduction of the numbers of subjects needed in a study (26).
Physiological Modeling
A physiological model is composed of a series of lumped components (body
regions) representing organs or tissues in which concentrations are assumed
to be uniform. The individual components are connected by a flow system
representing the actual blood flow to and from the individual tissues. The
schematic of a prototypical physiologic model is shown in (Figure 4.) Each
model is unique because it tries to describe various processes under different
physiological constraints. Assumptions such as those related to the elimination
organs, dose linearity, elimination model, protein free fraction, blood:plasma
ratio, and restriction and extent of the distribution and transport processes
need to be made because the development of the model. Equations describing
each of the processes involved in the model are set up and solved simultaneously,
yielding values for the parameters of interest.

Figure 4. Schematic
of a prototypical physiological model.
Physiologically based pharmacokinetic modeling is useful for estimating
drug disposition (27) and toxicity in different species (28), once the model
is described in detail in one species. It also allows extrapolation from
high dose to low dose and vice versa. As compared to the allometric approach,
it has the advantages of being capable of describing situations in which
nonlinearities occur, showing the differences from various routes and frequency
of administration, or making a priori predictions of pharmacokinetic changes
associated with various disease states, age, pregnancy (29), or drug-drug
interactions. In addition, physiologically based pharmacokinetic modeling
can also be used to model surrogates in tissue compartments (15).
As described above, once pharmacokinetic parameters are obtained via
either in vitro methods or in vivo animal studies, the next
task is to extrapolate the information to humans. Below, we provide an example
of an in vitro-in vivo correlation of an environmental chemical,
(S)-nicotine, to which humans are widely exposed.
In Vitro-In Vivo Metabolic Correlations of (S)-Nicotine
In the United States, approximately 75 million people smoke tobacco (30).
Approximately 400,000 deaths occur every year in the United States from
tobacco smoking primarily from lung cancer and respiratory and heart disease
(31). Recently, it has been concluded that approximately 3,000 lung cancer
deaths occur in the United States annually from environmental tobacco smoke
in nonsmokers (32). Passive smoking may also be responsible for some 150,000
to 300,000 cases annually of bronchitis and pneumonia in United State's
children (31). There are a large number of constituents in mainstream and
sidestream smoke from cigarrettes that could contribute to the untoward
health effects described for smoking tobacco. (S)-Nicotine is one of the
major components of tobacco and formation of (S)-cotinine and (S)-nicotine
N-1´-oxide in humans are useful markers of (S)-nicotine exposure because
both metabolites are chemically stable and because the metabolites are formed
by different enzyme systems (33).
in vitro kinetic studies showed that in the presence of adult
human liver microsomes, the mean Km apparent value for formation
of the iminium ion (that is subsequently converted to (S)-cotinine by the
action of exogenously added aldehyde oxidase) was 39.6 µM (range 3-75
µM) (34). Interestingly, of the 13 microsome samples from which the
data was obtained, three samples gave mean Km apparent values
of 482 µM, over 10-fold greater than the normal mean values. The Km
apparent value for FMO3-mediated (S)-nicotine N-1´-oxide formation
in the presence of human liver microsomes is probably greater that 800 µM,
almost 20-fold more than that for cytochrome P4502A6 formation of (S)-nicotine
1´,5´-iminium
ion. Thus, the relatively low percent of (S)-nicotine N-1´-oxide that
is formed in vivo compared with (S)-cotinine probably reflects the
fundamental kinetic properties of adult human FMO3 versus cytochrome P4502A6.
in vitro data suggest that approximately 90% of the formation of
(S)-nicotine 1´,5´-iminium
ion could be explained by the action of cytochrome P4502A6. However, there
may be a cytochrome P4502A6 polymorphism or differential expression in human
liver preparations, and it is possible that the intersubject variability
in human liver microsome samples for (S)-nicotine C-atom oxidation observed
may underlie the large interindividual variability observed for (S)-nicotine
metabolism in vivo. Thus, use of in vitro metabolic correlations
has identified the type of cytochrome P450 responsible for iminium ion formation
(i.e., CYP2A6); it has provided considerable insight into the relative amount
of adult human FMO3 versus cytochrome P4502A6 mediated (S)-nicotine metabolism;
and finally, it has provided understanding about the fundamental molecular
basis for interindividual differences in (S)-nicotine metabolism in humans
(Figure 5).

Figure 5. Scheme
depicting the major (S)-nicotine metabolites in humans.
Although considerable interindividual variability in both the amount
of (S)-nicotine present and the type of metabolite formed [i.e., (S)-cotinine
or (S)-nicotine N-1´-oxide] was observed in humans following intravenous,
dermal, or free-smoking routes of administration, nevertheless, quantification
of each metabolite provided information about two potentially disparate
metabolic pathways [i.e., flavin-containing monooxygenase-catalyzed formation
of (S)-nicotine N-1´-oxide and cytochrome P450-catalyzed (S)-nicotine
1´,5´-iminium
ion] (33). The metabolic formation of the N-1´-oxide probably represents
a detoxication pathway for (S)-nicotine, whereby the polar, highly ionized
N-1´-oxide is readily excreted in the urine. On the other hand, formation
of (S)-nicotine
1´,5´-iminium
ion potentially represents a bioactivation mechanism because the iminium
ion has been shown to covalently modify tissue macromolecules.
The pharmacological activity of (S)-nicotine
1´,5´-iminium
ion is poorly understood, but it is known to be efficiently oxidized by
the action of aldehyde oxidase to (S)-cotinine. (S)-Cotinine can also be
further metabolized. In humans, (S)-cotinine metabolites [i.e., trans-3-hydroxy-(S)-cotinine
and (S)-cotinine glucuronide] represent major metabolites of (S)-nicotine
(35). Thus, the interindividual variability in formation of human (S)-nicotine
metabolites (35) may be a consequence of a number of mechanisms contributing
to detoxication and bioactivation including the fundamental kinetic properties
of the metabolic enzymes involved and the wide individual genetic variability
in the formation of additional (S)-nicotine metabolites [i.e., glucuronidation
of (S)-cotinine, 3-hydroxy-(S)-cotinine, and (S)-nicotine] as well as more
complicated mechanisms.
As described above, (S)-nicotine undergoes extensive Phase I oxidative
metabolism in humans, and approximately 90% of a dose can be accounted for
in terms of urinary metabolites. In the presence of adult human liver microsomes,
cytochrome P4502A6 appears to be the major enzyme that forms (S)-nicotine
1´,5´-iminium
ion that is converted to (S)-cotinine by aldehyde oxidase (36). Because
it appears that cytochrome P4502A6 and aldehyde oxidase work in concert
to produce a detoxicated end product of (S)-nicotine, it is possible that
humans with a deficiency of aldehyde oxidase are predisposed to an increased
risk of the untoward effects of (S)-nicotine
1´,5´-iminium
ion. In addition, polymorphism leading to a reduction in the ability of
a subpopulation of humans to metabolize (S)-nicotine by cytochrome P4502A6
could also result in longer half-lives of (S)-nicotine and result in increased
pharmacological and behavioral effects. While the pharmacological and neurochemical
effects of increased accumulation of (S)-nicotine
1´,5´-iminium
ion in humans that are unable to oxidize the iminium ion is unknown, it
is likely to be considerably more toxic than exposure to increased levels
of the rapidly excreted (S)-nicotine N-1´-oxide.
Of the two (S)-nicotine N-1´-oxide diastereomers that could be
formed in humans, the absolute stereoselective formation of only the trans
diastereomer has been used as a selective functional probe of adult human
FMO activity (33,36). Administration of a mixture of (S)-nicotine N-1´-oxide
diastereomers by either free-smoking, intravenous, or dermal routes of administration
to humans showed that the N-1´-oxide was not appreciably N-1´-oxidized
or reduced (33). If efficient reduction of metabolically formed (S)-nicotine
N-1´-oxide to (S)-nicotine in humans occured, it could explain the
relatively low amount of N-1´-oxide formed in vivo. That (S)-nicotine
N-1´-oxide reduction is not observed in vivo (33) suggests
that metabolic futile cycling between nicotine N-1´-oxide and tertiary
amine does not provide a reservoir for the pharmacological action of (S)-nicotine.
Thus, previous reports in animals describing the reduction of (S)-nicotine
N-1´-oxide to the tertiary amine is probably due to gut bacteria metabolism
via the oral route of administration (37).
Cytochrome P450 Monooxygenase
The cytochrome P450 superfamily is a ubiquitous set of microsomal hemoproteins
that are associated with the metabolism of xenobiotics and endogenous materials.
In the human liver, approximately 20 cytochrome P450s have been characterized
to some extent. In contrast, in animal liver at least 4 times that number
of cytochrome P450s have been observed. Historically, the cytochrome P4502B
subfamily that has been most associated with experimental animal xenobiotic
metabolism and has been referred to as the phenobarbital-inducible cytochromes
P450. Besides the fact that the human enzyme forms are less numerous than
the animal forms, compounds often induce distinct hepatic cytochrome P450s
in the animal and the human. For example, although a gene encoding human
cytochrome 2B6 has been identified, a prominent role for this enzyme form
in adult human liver microsomal metabolism is not likely. While an extremely
large literature is available concerning the metabolic activation of chemicals
by the cytochromes P450 to reactive metabolites, a number of examples of
cytochrome P450-mediated detoxication of xenobiotics to less toxic materials
is available. Generally, cytochromes P450 convert lipophilic compounds to
oxidized metabolites that are commonly more polar and more readily excreted.
Numerous examples in the literature have shown that this process can result
in metabolically reactive intermediates that can covalently modify tissue
macromolecules and cause cell death and ultimately tissue necrosis (Figure
1). However, cytochrome P450 can also directly catalyze the conversion of
lipohilic compounds to polar, readily excreted metabolites. Many of the
cytochrome P450 detoxication reactions are analogous to detoxication reactions
catalyzed by the flavin-containing monooxygenases, although the microscopic
enzymatic mechanism of course is completely different. For example, cytochromes
P450 can catalyze the N-oxidation of tertiary amines to the tertiary amine
N-oxide, the S-oxidation of sulfides (or other sulfur-containing compounds)
to their corresponding sulfoxides, as well as the P-oxidation of phosphines
(and other phosphorous-containing compounds) to their phosphorous oxides.
Cytochromes P450 can oxidize the same substrates to the same products as
the flavin-containing monooxygenase (ignoring the question of stereochemistry)
and contribute to xenobiotic detoxication. Often, however, heteroatom oxidation,
for example, is not the predominant reaction, and other less benign reaction
products dominate for a particular substrate. For example, for a tertiary
amine, one often observes extensive N-dealkylation in preference to N-oxidation,
and this leads to formation of an aldehyde and an amine. It is not surprising
that the flavin-containing monooxygenase and cytochromes P450 produce similar
products from the same substrate, because in both cases the monooxygenases
employed possess considerably potent enzyme-bound oxidizing agents.

Figure 1. Hypothetical
illustration of the metabolic activation of a chemical to form a toxic metabolite
and the pathological consequences.
Flavin-containing Monooxygenase
The action of FMO constitutes an important means of terminating the pharmacological
and toxicological action of a wide number of xenobiotics including (S)-nicotine.
As seen for numerous other tertiary amines, FMO-catalyzed N-oxygenation
converts a biologically active compound into a polar, readily excreted tertiary
amine N-oxide. FMO also catalyzes the oxygenation of organosulfur-, selenium-,
phosphorous- and other heteroatom-containing chemicals that are likewise
more efficiently excreted after oxygenation. In contrast to cytochromes
P450, FMO generally converts heteroatom-containing compounds to products
with decreased potential for toxic or carcinogenic properties. Cytochromes
P450 can oxidize nucleophilic heteroatoms to heteroatom oxides that in some
cases are the same as the products from FMO, but cytochrome P450 does so
considerably less efficiently than FMO. Another fundamental difference between
cytochrome P450 and FMO is the apparent one versus two electron enzyme mechanism
of oxidation of each monooxygenase, respectively. Consequently, cytochrome
P450-mediated oxidation has been implicated in numerous co-oxidative and
free radical processes, many of which are destructive to cellular macromolecules
and tissue. The two-electron oxygenation mechanism of FMO does not preclude
the enzyme from participating in metabolizing some chemicals to toxic metabolites
(38). One notable example is the conversion of secondary arylamines to the
corresponding aryl hydroxylamine. Another example comes from the N-oxygenation
of a tertiary amine to an unstable tertiary amine N-oxide that undergoes
Cope-type elimination to produce a hydroxylamine and an olefin (38). It
is possible that the hydroxylamine formed could possess untoward pharmacological
properties. In principle, FMO-mediated aryl hydroxylamine formation and
subsequent esterification or sulfation may contribute to the carcinogenic
properties of arylamines (39). However, the contribution of this particular
aspect of arylamine metabolism has not been fully addressed because many
of the animal models used in carcinogenicity testing do not possess high
levels of the hepatic form of FMO present in adult humans. For example,
although it is recognized that there are five distinct FMO gene subfamilies
encoding five forms of mammalian FMO, the most functionally prominent form
of the enzyme in adult human liver (i.e., FMO3) apparently is not present
to a great extent in adult rat liver, a commonly used animal for drug and
chemical metabolism and toxicity studies (38). Less is known about the factors
that control FMO regulation, but hormone and dietary factors appear to regulate
FMO expression, but this is species and tissue specific and probably occurs
independently of other factors.
As discussed above, it is likely that the major form of FMO in adult
human liver is distinct from that present in many experimental animals.
Regardless, it has been observed that in species which are deficient in
FMO, shunting of the metabolism of a toxin to the cytochrome P450 pathway
occurs and makes the animal quite susceptible to the toxic properties of
the chemical. On the other hand, animals with a relatively high level of
FMO may efficiently detoxicate the chemical and are significantly less susceptible
to the toxic properties of the toxin (40). It is believed that FMO has evolved
to detoxicate nucleophilic heteroatom-containing chemicals or their metabolites
present in plants that would otherwise inactivate or be metabolized by cytochrome
P450 or covalently modify critical tissue macromolecules. Thus, determining
a role for FMO in the detoxication of endogenous and xenobiotic chemicals
that humans are exposed to could constitute an important aspect of risk
assessment.
Carboxylesterases and Detoxication of Chemicals
Carboxylesterases have long been studied with regards to their role in
detoxication of drugs and environmental chemicals. To understand the role
of carboxylesterases in the detoxication of chemicals in humans, a significant
amount of work has been conducted using enzyme preparations from rats and
other animals. The carboxylesterase enzymes used in the studies reported
in the literature were obtained mainly from the liver of animals that contained
the greatest activity of carboxylesterases. While hepatic enzymes from animals
has provided a convenient source of a model enzyme, differences in substrate
specificity have prompted researchers to use the human enzyme directly.
To provide a direct supply of the enzyme from human sources, carboxylesterase
(human esterase D) has been recently cloned and sequenced, and its specific
role in detoxication has begun to be examined. Notwithstanding the recent
advances in the study of the recombinant human enzyme, the current understanding
of the role of carboxylesterase in the detoxication of chemicals has largely
been extrapolated from in vitro and in vivo studies in the
rat. One caveat to correlations of this type is the fact that rats have
higher endogenous levels of carboxylesterases than primates, and this difference
could account for the lower sensitivity of rats to xenobiotics that are
more toxic as the ester than as the hydrolysis product (41). Where possible,
this review will examine the specific role of human esterase D (EsD) in
the detoxication of xenobiotics. However, some information from rats (or
other animals) will be presented because this information is relevant to
the possible role of EsD in the detoxication of chemicals in humans.
Carboxylesterases catalyze the hydrolysis of ester, thioester, and sometimes
amide bonds during the course of metabolism of xenobiotics and endogenous
chemicals (Figure 6). Generally, formation of more polar readily
excreted products by hydrolysis of lipophilic esters to carboxylic acids
constitutes a detoxication process. While many animal and nonspecific human
carboxylesterases have been reported in the literature, few highly substrate-selective
human liver carboxylesterases have been described. In animals, carboxylesterases
are widely distributed in different tissues. The large amount of carboxylesterase
in various animal tissues in part compensates for the relatively low specific
activity of the enzyme. Detoxication studies with xenobiotics have not yet
been fully examined with the purified human EsD. Most of the EsD data for
humans has been inferred from studies utilizing human serum or analogous
carboxylesterases isolated from rats or other mammals.

Figure 6. Hydrolysis
of an ester, a thioester, or an amide to a carboxylic acid and an alcohol,
a thiol, or an amine, respectively.
Organophosphorus Compounds
One of the most studied detoxications of environmental relevance is the
hydrolysis of organophosphorus insecticides. In the United States, almost
40 billion pounds of organophosphate insecticides are used every year. Thus,
organophosphate insecticides comprise an important group of chemicals to
which humans are exposed. Metabolism and detoxication of the malathion-type
organophosphorus insecticides are among the most well studied. Generally
in this class of compounds, there exists the phosphorodithionate or phosphonodithionate
moiety, as well as a distal carboxylic acid ester. For such compounds, the
distal carboxylic acid ester is the primary target of carboxylesterase action,
which results in the hydrolysis and formation of the detoxication product
containing the corresponding carboxylic acid (Figure 7) (42-44).
Although malathion-type carboxyl ester hydrolysis and detoxication primarily
occurs in the liver and plasma, it has been shown that human carboxylesterase
found in the skin also functions to detoxicate organophosphates (45). However,
when malathion-type compounds are subject to metabolic activation to the
corresponding oxon, the hydrolysis of the carboxylic acid does not occur--rather
inhibition of the carboxylesterase by the phosphonothiolate moeity is the
preferred fate (Figure 8) (46). For the oxon metabolite, detoxication is
the result of stochiometric sequestering by the enzyme rather than a result
of catalytic hydrolysis by carboxylesterase. A similar metabolic fate has
been shown for simple phosphorothionates (e.g., chlorpyrifos, Figure 9)
when biotransformed to the oxon in mouse or rat (47-50). It is notable
that in in vivo studies in the rat, liver carboxylesterase is indeed
inhibited faster than the target brain cholinesterase by paraoxon (51).
This is also the case with organophosphates and organophosphites in which
no metabolic activation is necessary. Such compounds have recently been
examined with carboxylesterase derived from human monocytes (52); the conclusion
was that organophosphates and organophosphites (with the exception of alkylphosphates)
are potent inhibitors of human monocyte carboxylesterase.

Figure 7. Hydrolysis
of malathion esters.

Figure 8. Oxidative
desulfuration of an organothiophosphorous insecticide to the oxon.

Figure 9. Oxidative
desulfuration of chlorpyrifos to the oxon.
Also of relevance for a role of carboxylesterase in detoxication is the
molecular basis for the poisoning events with organophosphorus nerve agents
developed for chemical warfare. This is of particular importance because
of the recent terrorist poisoning in Japan using sarin. It has been shown
in rats that irreversible binding of soman to liver and plasma carboxylesterase
accounts for a significant portion of its rapid detoxication of the soman
P(-) isomers. In contrast, the P(+) isomers are largely detoxicated by A-esterases
(Figure 10) (53). Thus, the proposed role of EsD in humans, on the basis
of studies in the rat, is that detoxication of soman occurs when it is sequestered
by EsD before it can reach target tissues containing acetylcholinesterases.
For soman and other organophosphates, this represents an important part
of the mechanism of carboxylesterase-mediated detoxication (54). Another
example of stoichiometric sequestration of a nerve agent is the detoxication
of tabun by carboxylesterase. Studies with rats showed that carboxylesterase
serves as a protective mechanism against tabun by decreasing the amount
available to the target site (i.e., intraneuronal acetylcholinesterase)
(55).

Figure 10. Phosphorylation
of soman by carboxylesterase.
Detoxication of Chemicals of Environmental Concern
Carboxylesterase has also been shown to have a role in the detoxication
of various environmental chemicals. Some representative compounds are shown
in Table 3. The mode of carboxylesterase-mediated detoxication of the compounds
listed in Table 3 is hydrolytic cleavage of a carboxylic acid ester moiety
to give the corresponding carboxylic acid and alcohol (Figure 11). Other
metabolic processes can and do occur for the compounds listed in Table 3,
but hydrolysis by carboxylesterase is generally looked upon as a means of
producing more polar materials with considerably less toxic potential.


Figure 11. Some
examples of environmentally important esters that are hydrolyzed by carboxylesterase.
Hydrolysis of Drugs by Carboxylesterases
Carboxylesterases in the liver, gut, and other tissues have been shown
to be important in the hydrolytic detoxication of certain drugs (67). Representative
examples of drugs of this class that are substrates for carboxylesterases
are listed in Table 4. In addition, carboxylesterases have been shown to
be efficient hydrolytic catalysts for a number of physiologically important
compounds including steroid and lipid esters. Recently, the characterization
of a human liver carboxylesterase that hydrolyzes and transesterifies (-)-cocaine
has been reported (73). The product of (-)-cocaine hydrolysis by this esterase
is benzoylecgonine, a metabolite that is largely inactive as a pyschomotor
stimulant (Figure 12). The Km value for formation of benzoylecgonine
(i.e., 116 µM) is much greater than the concentration of (-)-cocaine
reported to be in the blood following a 100 mg intravenous dose of (-)-cocaine
(i.e., 3 µM) and, presumably under such subsaturating conditions of
substrate concentration, the human liver carboxylesterase would contribute
to the detoxication of (-)-cocaine only if the Vmax values were
sufficiently great. Interestingly, the same enzyme also possesses transesterification
activity. Thus, in the presence of ethanol and (-)-cocaine, human liver
carboxylesterase catalyzes the formation of cocaethylene. Although the Km
value for ethanol is relatively high (i.e., 43 mM or approximately 180 mg/100
ml of blood), because the reported range of blood alcohol in individuals
that have died from (-)-cocaine overdose is reported to be in the range
of 30 to 460 mg/100ml, it is possible that transesterification of (-)-cocaine
with ethanol constitutes a metabolic pathway contributing to increased toxicity
of (-)-cocaine (73). Thus, in addition to the well-recognized serum cholinesterase
or butyrylcholinesterase that catalyzes the hydrolysis of (-)-cocaine to
ecgonine methylestester, a new human liver carboxylesterase has been discovered
that hydrolyzes the methyl ester of (-)-cocaine to a pharmacologically inactive
metabolite (i.e., benzoylecgonine) and a pharmacologically active transesterification
product, (-)-cocaethylene (Figure 12) (73). Possibly, the balance between
(-)-cocaine ester hydrolysis and transesterification for any particular
human subject may contribute to the overall susceptibility of the individual
to the toxic properties of (-)-cocaine. To date, the relative amount of
esterase-catalyzed transesterification versus hydrolysis of xenobiotics
has not been extensively examined. It is likely that the relative balance
between these two competing metabolic pathways may represent another means
of predicting the potential for toxicity of carboxyl ester-containing xenobiotics.


Figure 12. A scheme
showing the hydrolytic metabolism and reesterification of cocaine.
Cloning, Sequencing, and Tissue Localization of Human Esterase D
Human esterase D (EsD, carboxylesterase, aliesterase, EC 3.1.1.1) is
one of several nonspecific esterases identified in human tissue that contribute
to the hydrolytic detoxication or metabolism of xenobiotics, drugs, and
enviromental chemicals. Like other human esterases (paraoxonase/arylesterase,
sterol esterase, and carboxyl ester lipase), the physiological function
of EsD is not well understood. EsD is, however, distinguishable from other
esterases by its specificity for the hydrolysis of 4-methylumbelliferyl
esters (74,75). The natural substrate for this enzyme has recently been
identified as O-acetylated sialic acid, and one suggested endogenous role
of EsD has been hypothesized to involve the reuse of sialic acids (76).
Purification of EsD has been accomplished from human erythrocytes (77-79),
and the biochemical properties of the purified enzyme have been reported.
EsD is an enzyme with a molecular weight of 34 kDa as determined by sodium
dodecyl sulfate polyacrylamide gel electrophoresis; the Km of
EsD for the substrate 4-methylumbelliferyl was determined to be 10 µM.
It is interesting to note that mercuric chloride and p-chloromercuribenzoate
both inhibited the purified enzyme completely at low concentrations (1.0
mM), which suggests that an SH group is necessary for the enzymatic reaction
(77). In addition, purification of EsD allowed the preparation of polyclonal
and monoclonal antibodies from rabbit and mouse, respectively, that have
been useful for immunoquantification studies.
The EsD gene (from human erythrocytes and human liver) has now been cloned
and sequenced (78,80-83) and has been localized to chromosome 13
band q14 (78,80-87). EsD has been shown to exhibit strong homology
to two other esterases [i.e., acetylcholinesterase (AChE) from Torpedo californica
and esterase-6 of Drosophila] (81). Homologous regions were detected about
the consensus sequence serine-containing active site region. From studies
of sequence homology, the active site is believed to contain the peptide
isoleucine-phenylalanine-glycine-histidine-serine-methionine-glycine-glycine.
The residues thought to participate in catalysis are serine, histidine,
and aspartic acid (82). The human liver carboxylesterase gene has also been
recently cloned and characterized (83,87,88); it showed significant sequence
homology to various mammalian carboxylesterases. Furthermore, sequence analysis
of human liver carboxylesterase and the genes for human cholinesterase and
cholesterol esterase suggests an evolution from a common ancestral gene
(88).
Although EsD was known to be present in a variety of tissues, quantification
has only recently been accomplished by using the specific substrate 4-methylumbelliferyl
acetate (77). The results from this study showed that most EsD activity
was found in the liver. Significant activity, although less than that of
the liver, was also identified in the human kidney. Although little EsD
enzyme activity was observed in the lung, recently a carboxylesterase from
the lung (i.e., alveolar macrophage) has been purified and appears to be
identical to EsD (89). The results suggest that EsD in the lung may play
a role in the detoxication of inhaled xenobiotics. Carboxylesterase has
also been identified in human blood monocytes (52,90). Another site that
has been observed to contain carboxylesterase activity is the human skin
(45), which suggests that EsD may play a role in the detoxication of absorbed
xenobiotics.
Carboxylesterase activity has also been identified in human nasal tissue,
suggesting a role of this tissue in the detoxication of inhaled xenobiotics
as well (91). However, hydrolysis of certain inhaled esters has been correlated
to lesions of the olfactory epithelium in rats due to transformation of
inhaled chemicals into toxic substances rather than detoxicated metabolites
(90,92). The data suggest that hydrolytic metabolism of inhaled esters in
this tissue may play a significant role in the bioactivation of such substances
rather than degradation and detoxication. It is possible that accumulation
of some of the metabolites of inhaled esters contribute to the pathogenesis
of ester-induced nasal lesions. In like fashion, it has been suggested that
carboxylesterase-mediated hydrolysis of vinyl acetate generates acetaldehyde,
an intracellular cross-linking agent possibly contributing to tumorigenesis
(93).
The hydrolysis of lipophilic esters is a major route for the detoxication
of environmental chemicals such as pesticides. Human exposure, either from
occupational or passive administration, may occur via absorption by the
skin or the respiratory tract. Therefore, carboxylesterase-mediated hydrolysis
of xenobiotics in these tissues, as well as in the liver, may contribute
to influencing the toxicity of potentially toxic esters.
Paraoxonase/Arylesterase (A-esterase)
It is worthy to briefly discuss the enzyme paraoxonase/arylesterase in
light of the previous presentation of the metabolism of organophosphorus
compounds. Paraoxonase/arylesterase has been shown to hydrolyze and therefore
detoxicate many phosphate esters or phosphorothionates (i.e., organophosphorus
insecticides) that have undergone metabolic activation to the oxon structure
(Figure 8) before these compounds reach the target tissues containing acetylcholinesterases.
Two paraoxonase/arylesterases that possess the ability to hydrolyze paraoxon
and a variety of organophosphorus compounds, as well as arylesters, have
been identified in human serum (94-96). One was shown to be an ethylenediaminetetraacetic
acid (EDTA)- sensitive esterase while the other was identified as an EDTA-insensitive
paraoxonase. The highest levels of activity have been found in liver and
serum. Like many other esterases, no known endogenous substrates for paraoxonase/arylesterase
have been identified. It has been shown that calcium is required for paraoxonase/arylesterase,
but the mechanism for the interaction with calcium is unknown at this time
(97,98). Recently it has been shown that the enzyme is not a cysteine esterase
as commonly thought for many years; the mechanism of mammalian paraoxonase/arylesterase
must be reconsidered in light of this new finding (99).
Conclusion
Studies of the role of purified EsD in the metabolism and detoxication
of various xenobiotics are scant compared with the information available
employing other mammalian enzyme systems. It is clear however that EsD plays
a significant role in catalyzing the detoxication of xenobiotics containing
carboxylic esters. In addition, EsD also appears to play a role in the detoxication
of potent anticholinesterase agents (i.e., organophosphates) not via catalysis
but rather as stochiometric scavengers (i.e., as a binding protein). With
the recent aquisition of the purified human enzyme as well as the cDNA cloning
and expression of the genes, a clearer understanding of the role of EsD
in xenobiotic detoxication may be obtained in the near future. Furthermore,
with careful in vitro studies of these purified enzymes in vivo
predictions may be made with an appreciation for in vitro-in vivo correlations.
Glucuronidation of Xenobiotics as a Detoxication Pathway
Formation of glucuronide conjugates of xenobiotics represents one of
the most important phase II reactions. Glucuronidation is a major detoxication
pathway in all vertebrates examined, from fish (100) to human (101); glucuronide
metabolites constitute some of the most significant xenobiotic detoxicated
metabolites in bile and urine. The key enzyme of the overall process known
as glucuronidation is uridine diphosphate glucuronosyltransferase (UDPGT),
a membrane-associated enzyme that catalyzes the transfer of the glucuronyl
group to a large number of endogenous compounds and xenobiotics (Figure
13).

Figure 13. Conjugation
of a nucleophile (i.e., R-X-H) with uridine-5´-diphospho-*-d-glucuronic
acid to form the glucuronide and uridine diphosphate.
The role of glucuronidation in the detoxication of environmental chemicals
and carcinogens, whether ingested, inhaled, or absorbed, is related to the
other detoxication pathways that have been described above: relatively lipophilic
chemicals are converted to highly polar materials that are relatively efficiently
excreted in the bile and urine. Glucuronosyl conjugates generally possess
totally different physiochemical properties compared to those of the parent
compounds. For example, the conjugates are very water soluble, are generally
less toxic, and are rapidly excreted in the urine. After formation, a glucuronosyl
conjugate may be immediately excreted or acted upon by hydrolases, which
leads to sequential first-pass effects on the glucuronosyl conjugate. The
glucuronosyl conjugate can also reenter the liver cell and undergo enterohepatic
recirculation. Glucuronides can be hydrolyzed in the gut (probably by bacteria
that consume saccharides and leave the parent compound to be reabsorbed
into the splanchnic circulation). Thus, pharmacokinetics and processing
of glucuronide conjugates differ somewhat from that of other polar detoxication
metabolites that we have discussed above. Because glucuronosyl conjugates
are anions, entry into and out of hepatocytes is also dependent on the properties
of the conjugate toward the organic anion transporter.
Metabolites of some environmental chemicals that are known carcinogens
or toxins have been shown to be glucuronidated and detoxicated; however,
there is some evidence that glucuronosyl conjugates of metabolites of toxic
materials can be carriers of carcinogenic activity and exert an affect in
cells quite distinct from initial glucuronidation. Thus, in cells that do
not possess large polycyclic aromatic hydrocarbon hydroxylase activity,
it has been observed that polycyclic aromatic hydrocarbons have significant
toxicity. It is possible that carcinogens are transported from sites of
high monooxygenase activity (i.e., the liver) to sites that possess low
monooxygenase activity which are nevertheless selective targets (i.e., bladder)
after hydrolysis of the glucuronide moiety (Figure 14). Included in the
list of chemicals that could participate in this carrier phenomena are metabolites
of aromatic hydrocarbons [i.e., benzopyrene (102), benzene (103), and 2-hydroxybiphenyl
(104)]; aromatic amines [2-acetylaminofluorene (105), heterocyclic arylamines
(from meat and fish in typical household cooking practices), (106)]; and
many other compounds (Table 5).

Figure 14. Hypothetical
scheme depicting the metabolic bioactivation and glucuronidation of a procarcinogen,
which is transported to another cell that possesses low bioactivation capacity
and nevertheless, accumulates sufficient metabolite to show significant
toxicity.

Function of Glucuronosyltransferases in Detoxication
The functions of UDPGTs in detoxication can be best understood in the
context of overall xenobiotic metabolism. A large number of environmental
chemicals, as well as endogenous lipophilic chemicals, are converted by
phase I enzymes of drug metabolism to a variety of nucleophilic and electrophilic
metabolites (Figure 15) (107). It has been shown that chemically
reactive, electrophilic metabolites can interact with critical cellular
macromolecules which can initiate cell toxicity and play an important role
in the multistage carcinogenic process (108). In many cases, electrophilic
metabolites are enzymatically transformed by phase II reactions. This is
not to minimize the importance of other enzymatic and nonenzymatic metabolic
processes in the bioactivation of xenobiotics to reactive intermediates.
For example, in the polycyclic aromatic hydrocarbon series, phenols can
be oxidized to reactive species including polyphenols, semiquinones, and
quinones. Quinones may also undergo quinone-quinol redox cycles with the
generation of reactive oxygen species that have also been implicated in
cellular necrosis (109). In the arylamine class of compound, N-oxidized
aromatic amines can be converted to eletrophiles via oxidation to hydroxylamines
and subsequent sulfation and/or acetylation (110). The disposition of phase
I metabolites by glucuronidation almost certainly contributes to the detoxication
of metabolic products, but glucuronidation may also participate in the bioactivation
of xenobiotics and transport of potentially toxic species to extrahepatic
cells. Evaluation of the toxic potential of environmental chemicals must
take both processes into consideration.

Figure 15. Hypothetical
explanation of how an acyl glucuronide can participate in the covalent modification
of cellular targets and eventually cause toxicity.
Environmental Chemicals and Glucuronidation
Aromatic amines have been widely used in the dye industry and were among
the first chemicals to be recognized as human carcinogens. As early as 1895,
a German physician, Ludwig Rehn (111), suggested that urinary bladder cancers
found in dye workers were due to chemical exposure to certain aniline dyes.
Aromatic amines such as 2-naphthylamine and 4-aminobiphenyl (Table 5) have
been found in nanogram amounts in cigarettes (112). These compounds may
account, at least in part, for the positive correlation between cigarette
smoking and the incidence of bladder cancer in humans (113). In 1941, 2-acetylaminofluorene
(2-AAF), a proposed insecticide, was shown to be carcinogenic to the liver,
mammary gland, and urinary bladder of rats after dietary administration
(114). 2-AAF is one of the most extensively studied chemical carcinogens.
The N-hydroxy metabolites of 2-AAF have been found to be more carcinogenic
than the parent compound (108). It was also found that sulfation and acetylation/deacetylation
reactions led to even more reactive intermediates that formed covalent adducts
with DNA (107). Formation of the N-O-glucuronide of the corresponding N-hydroxy-2-AAF,
N-hydroxy-2-naphthylamine, and N-hydroxy-4-aminobiphenyl have been reported.
N-O-glucuronides are semistable transport forms of the aromatic amines;
they are excreted via the blood into the urinary system and have the effect
of detoxication (115,116). However, it is possible that the same transport
form may also contribute to delivering the aromatic amine to an extrahepatic
site and increasing the toxic potential of the amine at that site.
Another example of an environmental chemical, 2-hydroxybiphenyl, is widely
used as an antimicrobial agent to protect edible crops, and it is possible
that the human population may be exposed to it. However, it is likely that
human exposure to 2-hydroxybiphenyl does not pose a significant health hazard
because, at low doses, 2-hydroxybiphenyl is efficiently excreted as a glucuronide
and as a sulfate ester; no significant toxicity has been observed (104,117).
Mechanism of Glucuronosyltransferases
Uridine-5´-diphospho-
-d-glucuronic acid (UDPGA,
Figure 13) is the donating coenzyme during the glucuronidation reaction.
The UDPGTs are a group of closely related membrane-bound enzymes that are
responsible for the transfer of the glucuronosyl group from UDPGA to many
endogenous and exogenous chemicals having nucleophilic functional groups
(i.e., X in Figure 13). The mechanism of the glucuronidation catalyzed by
UDPGTs is envisaged to take place via an SN2 reaction--the nucleophilic
group of the substrates attack the C1 of the pyranose acid ring
of UDPGA--which results in the formation of the glucuronide (Figure 13).
As shown in Figure 13, the attacking groups of the substrates should have
sufficient nucleophilic character for a high rate of glucuronidation. There
is a wide variety of groups that fulfill this requirement, e.g., phenols
(phenol, morphine), carboxylic acids (bilirubin, valproic acid), alcohols
(t-butanol, many steroids), and hydroxamic acids (N-hydroxy-2-acetylaminofluorene)
to form O-glucuronides; thiophenols (thiophenol), and carbamic acids (diethyldithiocarbamic
acid) to form S-glucuronides; and aromatic amines (aniline), hydroxylamines
(N-hydroxy-2-napthylamine), and tertiary amines (cyproheptadine) to form
N-glucuronides (Table 6). Even carbon atoms can attack the C1
atom of the glucuronic acid ring if the carbon atom is sufficiently nucleophilic
(sulflnpyrazone, phenylbutazone) to form C-glucuronides (118) (Table 6).
The reactivity toward forming a glucuronide will depend on the chemical
structure, including both electronic and steric factors. A second requirement
for a high rate of enzymatic glucuronidation is for sufficient lipid solubility
of the substrate.

The resulting glucuronide is usually devoid of any significant biological
and pharmacological activities. A family of homologous UDPGT isoenzymes
are located in the endoplasmic reticulum of the liver, as well as in other
tissues (119). Purification of the transferases catalyzing glucuronidation
proved difficult because the enzyme was found to be anchored in the membrane
of the endoplasmic reticulum (120); however, the difficulties involved in
purifiying homogenous preparations of a single UDPGT isoform have now largely
been overcome by the use of recombinant DNA technology. The cloning of UDPGT
cDNAs and their subsequent expression in tissure culture by transfection
techniques have proven to be useful tools for determining the structure
and function of a large number of UDPGTs, especially the elusive human UDPGTs.
Several UDPGT cDNA sequences (including bacteria, murine, virus, bovine,
rat, and human) have been identified (120-124). The expression of UDPGT
cDNA in cell culture can be used to identify the limits of substrate specificity
of the individual isoenzymes and as a system for study of substrate transport,
glucuronidation, and export of glucuronides in whole cells in vitro
(91).
The study of UDPGTs in humans has also showed that several diseases are
directly related to these enzymes. Crigler-Najjar syndrome is a familial
form of severe unconjugated hyperbilirubinemia caused by a dysfunction in
bilirubin glucuronidation in humans (125-127). Gilbert syndrome is a benign,
mild, unconjugated hyperbilirubinemia that is found in approximately 5%
of the population (128-130).
As described previously, although it seems that most xenobiotic glucuronides
are detoxicated via the action of UDPGTs, glucuronidation may also lead
to toxic effects in certain cases, especially at high-dose levels. A well-studied
example is choleresis by glucuronides. In general, glucuronide excretion
in bile causes choleresis of approximately 15 to 20 µl bile µmol-1
glucuronide (131). However, the phenolic drug hormol causes cholestasis
at a high dose in the rat because harmol glucuronide is excreted to such
a high extent in bile that the glucuronide precipitates and the bile channel
becomes blocked (132). As discussed above, glucuronosyl conjugates can reenter
the liver and hydrolyze back to the original substrate as shown in Figure
15 in an apparent metabolic cycling process. There is no doubt that this
is also a factor in any glucuronide-mediated toxicity.
It is possible that glucuronosyl conjugates can become chemically reactive
intermediates and participate in further metabolism, such as acyl glucuronide
formation (Figure 15). For example, tolmetin, the nonsteroidal anti-infiammatory
drug used for the treatment of rheumatoid arthritis may be converted to
a reactive acyl glucuronide that contributes to adverse side effects observed
in humans. In humans, tolmetin is primarily metabolized by oxidation on
the methyl group of the phenyl ring and by conjugation of the carboxylic
acid to produce the O-acyl glucuronide. The O-acyl glucuronide may hydrolyze,
participate in acyl migration reactions, or covalently bind to human serum
albumin. It is the irreversible binding of tolmetin glucuronides to human
serum albumin that is thought to be responsible for the allergenic properties
of tolmetin. It is possible that other nonsteroidal anti-infiammatory agents
also possess this unfavorable property. In addition, it is likely that other
carboxylic acids that participate in acyl glucuronidation may likewise produce
metabolic intermediates that covalently modify important cellular proteins
and produce untoward effects.
Regulation of Glucuronosyltransferases
Most investigations of the regulation of glucuronosyl transferases have
been conducted in animals, even though some in vivo and in vitro
studies have been done in humans (133,134). Study of the regulation of UDPGT
levels related to different diets has been conducted in the rat. The results
suggest that an iron-deficient diet can cause depression in UDPGT enzyme
activity (135). Rats fed a diet rich in turmeric can significantly elevate
UDPGT activity (136) but a vitamin E-deficient diet had no effect on the
activities of UDPGT (137). Most experimental data about UDPGTs have been
obtained from rats, chickens (138), rabbits (139), and monkeys (140) in
vivo and in vitro, but the data and theory maybe able to applied
to humans.
The importance of phase II reactions by UDPGTs in humans and other animals
has also been investigated (139,141). However, in vivo studies of
humans are limited, even though there are some research groups that have
investigated the formation of glucuronides in humans through the analysis
of urine and bile (142,143). Pharmacokinetic modeling of drug conjugates
in vitro has been well established such that steady-state rate equations
for the simulation of conjugation and deconjugation reactions have been
developed (107). Simulation with mass-balance equations have proven useful
in the understanding of conjugation and deconjugation process in vivo
(144). Through these efforts, a more quantitative interpretation of metabolic
data on conjugation reactions has been obtained.
Concluding Remarks
An examination of the pharmacokinetic parameters that contribute to some
of the major conceptual approaches to understanding toxicokinetics and the
disposition of environmental chemicals has been presented. By the use of
in vitro measurements and in vivo correlations, it is possible
to predict with a good deal of certainty the extent of metabolic clearance
and other important kinetic parameters. Determination of clearance invariably
leads to a clearer understanding of the contribution, if any, to the toxicity
of a drug or the residence time of a potentially toxic metabolite. The concept
of interspecies scaling in the interpolation and extrapolation of fundamental
biochemical metabolic processes has been presented. In the future, we anticipate
that physiological modeling and allometric scaling will undoubtedly play
an increasingly important role in predicting the toxicity of environmental
chemicals in humans from studies in animals. It is likely that the use of
scaling methodologies will also reduce the cost of evaluating the possible
toxicity of a chemical to humans. A number of examples of important metabolic
detoxication enzyme reactions have been listed to provide insight into the
breadth of detoxication processes occurring in mammalian tissue; this list
of metabolic processes is not exhaustive. We anticipate that the list of
well-studied detoxication enzyme reactions will increase in the future.
The data will provide a framework to use the pharmacokinetic information
outlined here to give useful in vitro-in vivo correlations to help us understand
the mechanism of action of important chemicals of environmental concern.
REFERENCES
1. Brodie BR, Reid WD, Cho AK, Sipes G, Gillette JR. Possible
mechanism of liver necrosis caused by aromatic organic compounds. Proc Natl
Acad Sci USA . 68:160-164 (1971).
2. Welling PG, Tse FLS. Pharmacokinetics: Regulatory, Industrial,
Academic Perspectives. 2d ed. New York:Marcel Dekker, 1991.
3. Benet LZ, and Perotti BYT. Drug absorption, distribution,
and elimination. In: Burger's Medicinal Chemistry and Drug Discovery, Vol
I (Wolff ME, ed). New York:John Wiley & Sons, 1995;113-128.
4. Rowland M, and Tozer TN. Clinical Pharmacokinetics:
Concepts and Applications. Philadelphia:Lea & Febiger, 1989.
5. Benet LZ, and Galeazzi RL. Noncompartmental detemination
of steady-state volume of distribution. J Pharm Sci 68:1071-1074 (1979).
6. Pang KS, Rowland M. Hepatic clearance of drugs. I. Theoretical
considerations of a "well-stirred" model and a "parallel
tube" model. Influence of hepatic blood flow, plasma and blood cell
binding, and the hepatocellular enzymatic activity on hepatic drug clearance.
J Pharmacokinet Biopharm 5:625-653 (1977).
7. Mordenti J. Man versus beast: pharmacokinetic scaling
in mammals. J Pharm Sci 75:1028-1040 (1986).
8. Boxenbaum H, Ronfeld R. Interspecies pharmacokinetic
scaling and the Dedrick plots. Am J Physiol 245:R768-R775 (1983).
9. Sacher GA. Relationship of lifespan to brain weight
and body weight in mammals. Ciba Found Colloq Aging 5:115-133 (1959).
10. Boxenbaum H, Fertig JB. Scaling of antipyrine intrinsic
clearance of unbound drug in 15 mammalian species. Eur J Drug Metab Pharmacokinet
9:177-183 (1984).
11. Gascon AR, Calvo B, Hernandez RM, Dominguez-Gil A,
Pedraz J. Interspecies scaling of cimetidine-theophylline pharmacokinetic
interaction: interspecies scaling in pharmacokinetic interactions. Pharm
Res 11:945-950 (1994).
12. Kim SR, Chow HH, Mayersohn M. Comparative pharmacokinetics
and interspecies scaling of cocaine in several mammalian species. Pharm
Res 11:S-421 (1994).
13. Owens SM, Hardwick W, Blackall D, McMillan DE. Interspecies
scaling of phenylcyclidine (PCP) pharmacokinetic parameters. In: 71st Annual
Meeting of the Federation of American Societies for Experimental Biology,
29 March 1987, Washington, DC. Fed Proc 46:867 (1987).
14. Boxenbaum H. Interspecies scaling, allometry, physiological
time, and the ground plan of pharmacokinetics. J Pharmacokinet Biopharm
10:201-227 (1982).
15. Mordenti J. Chappell W. The use of interspecies scaling
in toxicokinetics In: Toxicokinetics and New Drug Development (Yacobi A,
Kelly JP, Batra VK, eds). Elmsford, UK:Pergamon Press, 1989;42-96.
16. Boxenbaum H, D'Souza R. Physiological models, allometry,
neoteny, space-time and pharmacokinetics. In: Pharmacokinetics: Mathematical
and Statistical Approaches (Pecile A, Rescigno A, eds). New York:Plenum
Press, 1988;191-214.
17. Dedrick RL, Bischoff KB, Zaharko DZ. Interspecies correlation
of plasma concentration history of methotrexate (NSC-740). Cancer Chemother.
Rep Part 1 54:95-101 (1970).
18. Gatti G, Kahn JO, Lifson J, Williams R, Turin L, Volberding
PA, Gambertoglio JG. Pharmacokinetics of GLQ223 in rats, monkeys, and patients
with AIDS or AIDS-related complex. Antimicrob Agents Chemother. 35:2531-2537
(1991).
19. Ibrahim SS, Boudinot FD. Pharmacokinetics of 2´,3´-dideoxycytidine
in rats: application to interspecies scale-up. J Pharm Pharmacol 41:829-834
(1989).
20. Lave T, Schmitt-Hoffman AH, Coassolo P, Valles B, Ubeaud
G, Ba B, Brandt R, Chou RC. A new extrapolation method from animals to man:
application to a metabolized compound, mafarotene. Life Sci 56:473-478 (1995).
21. Baggot JD. Application of interspecies scaling to the
bispyridinium oxime HI-6. Am J Vet Res 55:689-691 (1994).
22. Gombar CT, Harrington GW, Pylypiw HM Jr, Anderson LM,
Palmer AE, Rice JM, Magee PN, Burak ES. Interspecies scaling of the pharmacokinetics
of N-nitrosodimethylamine. Cancer Res 50:4366-4370 (1990).
23. Jezequel SG. Fluconazole: interspecies scaling and
allometric relationships of pharmacokinetic properties. J Pharm Pharmacol
46:196-199 (1994).
24. Mordenti J, Chen SA, Moor JA, Ferraiolo BL, Green JD.
Interspecies scaling of clearance and volume of distribution data for five
therapeutic proteins. Pharm Res 8:1351-1359 (1991).
25. Kaul S, Barbhaiya R. Interspecies scaling of stavudine
pharmacokinetics. Pharm Res 11:S-348 (1994).
26. Campbell DB. Can allometric interspecies scaling be
used to predict human kinetics? Drug Inf J 28:235-245 (1994).
27. Bernareggi A, Rowland M. Physiologic modeling of cyclosporin
kinetics in rat and man. J Pharmacokinet Biopharm 19:21-50 (1991).
28. Andersen ME, Clewell HJ, Gargas ML, Smith FA, Reitz
RH. Physiologically based pharmacokinetics and the risk assessment process
for methylene chloride. Toxicol Appl Pharmacol 87:185-205 (1987).
29. Gabrielsson JL, Johansson P, Bondesson U, Paalzow LK.
Analysis of methadone disposition in the pregnant rat by means of a physiological
flow model. J Pharmacokinet Biopharm 13:355-372 (1985).
30. Davila DG, Williams DE. The etiology of lung cancer.
Mayo Clin Proc 68:170-182 (1993).
31. Smoking-attributable mortality and years of potential
life lost: United States, 1988. Morb Mort Wkly Rep 40:62-71 (1991).
32. EPA. Smoking and tobacco control. In: Monograph on
the Respiratory Health Effects of Passive Smoking: Lung Cancer and Other
Disorders, NIH Publ 93-3605. Bethesda, MD:National Cancer Institute, 1993;21-31.
33. Park SB, Jacob P III, Benowitz NL, Cashman JR. Stereoselective
metabolism of (S)-(-)-nicotine in humans: formation of trans-(S)-(-)-nicotine
N-1´-oxide. Chem Res Toxicol 6:880-888 (1993).
34. Berkman CE, Park SB, Wrighton SA, Cashman JR. In vitro-in
vivo correlations of human (S)-nicotine metabolism. Biochem Pharmacol 50:565-570
(1995).
35. Benowitz NL, Jacob P III. Nicotine metabolism, pharmacokinetics
and pharmacodynamics in man. In: Tobacco Smoking and (S)-Nicotine: A Neurobiological
Approach (Martin WR, Van Loon GR, Iwamoto ET, Davis L, eds). New York:Plenum
Press, 1987;357-373.
36. Cashman JR, Park SB, Yang Z-C, Wrighton SA, Jacob P
III, Benowitz NL. Metabolism of nicotine by human liver microsomes: Stereoselective
formation of trans-nicotine N´-oxide. Chem Res Toxicol 5:639-646 (1992).
37. Sepkovic DW, Haley NK, Axelrad CM, Shigematsu A, LaVoie
EJ. Short-term studies on the in vivo metabolism
of N-oxides of nicotine in rats. J Toxicol Environ Health 18:205-214 (1986).
38. Cashman JR. Structural and catalytic properties of
the mammalian flavin-containing monooxygenase. Chem Res Toxicol 8:165-181
(1995).
39. Ziegler DM, Ansher SS, Nagata T, Kadlubar FF, Jakoby
WB. N-Methylation: potential mechanism for metabolic activation of carcinogenic
primary arylamines. Proc Natl Acad Sci USA 85:2514-2517 (1988).
40. Mirand CL, Chung W, Reed RE, Zhao X, Henderson MC,
Wang J-L, Williams DE, Buhler DR. Flavin-containing monooxygenase: a major
detoxifying enzyme for the pyrrolizidine alkaloid senecionine in guinea
pig tissues. Biochem Biophys Res Commun 178:546-552 (1991).
41. Chambers JP, Hartgraves SL, Murphy MR, Wayner MJ, Kuman
N, Valdes JJ. Effects of three reputed carboxylesterase inhibitors upon
rat serum esterase activity. Neurosci Biobehav Rev 15:85-88 (1991).
42. Imamura T, Schiller NL, Fukuto TR. Malathion and phenthoate
carboxylesterase activities in pulmonary alveolar macrophages as indicators
of lung injury. Toxicol Appl Pharmacol 70:140-147 (1983).
43. Makhaeva GF, Veselova VL, Mastriukova TA, Shipov AE,
Zhdanova GV. Interaction of various dithio- and thiophosphates containing
amino acid fragments with carboxylesterase from rat liver. Bioorg Khim 9:920-925
(1983).
44. Kawabata S, Hayasaka M, Hayashi H, Sakata M, Hatakeyama
Y, Orgura N. Phenthoate metabolites in human poisoning. J Toxicol Clin Toxicol
32:49-60 (1994).
45. Heyman E, Hoppe W, Krusselmann A, Tschoetschel C. Organophosphate
sensitive and insensitive carboxylesterases in human skin. Chem Biol Interact
87:217-226 (1993).
46. Makhaeva GF, Iankovskaia VL, Odoeva GA, Shestakova
NN, Khovanskikh AE. The role of esterases in the toxicity of organothiophosphorus
insectoacaracides containing a fragment of mercaptoacetic acid. Bioorg Khim
11:957-962 (1985).
47. Sultatos LG, Shao M, Murphy SD. The role of hepatic
biotransformation in mediating the acute toxicity of the phosphorothionate
insecticide chlorpyrifos. Toxicol Appl Pharmacol 73:60-68 (1984).
48. Ehrich M, Cohen SD. DDVP (dichlorvos) detoxiÞcation
by binding and interactions with DDT, dieldrin, and malaoxon. J Toxicol
Environ Health 3:491-500 (1977).
49. Chambers JE, Tangeng JJ, Boone S, Chambers HW. Role
of detoxication pathways in acute toxicity levels of phosphorothionate inscecticides
in the rat. Life Sci 54:1357-1364 (1994).
50. Chambers H, Brown B, Chambers JE. Non-catalytic detoxication
of six organophosphorus by rat liver homogenates. Pest Biochem Physiol 36:308-315
(1990).
51. Chambers JE, Chambers HW. Time course of inhibition
of acetylcholinesterase and aliesterase following parathion and paraoxon
exposure in rats. Toxicol Appl Pharmacol 103:420-429 (1990).
52. Saboori AM, Lang DM, Newcombe DS. Structural requirements
for the inhibition of human monocyte carboxylesterase by organophosphorus
compounds. Chem Biol Interact 80:327-338 (1991).
53. Wahlländer A, Szinicz L. DetoxiÞcation of
soman in the perfused rat liver: quantitative uptake and stereoisomer metabolism.
Arch Toxicol 64:586-589 (1990).
54. Maxwell DM, Brecht KM, O'Neill BL. The effect of carboxylesterase
inhibition on interspecies differences in soman toxicity. Toxicol Lett 39:35-42
(1987).
55. Gupta RC, Patterson GT, Dettbarn WD. Acute tabun toxicity;
biochemical and histochemical consequences in brain and skeletal muscles
of rat. Toxicology 46:329-341 (1987).
56. Clark NW, Scott RC, Blain PG, Williams FM. Fate of
þuazifop butyl in rat and human skin in vitro.
Arch Toxicol, 67:44-48 (1993).
57. McCracken NW, Blain PG, Williams FM. Human xenobiotic
metabolizing esterases in liver and blood. Biochem Pharmacol 46:1125-1129
(1993).
58. Gupta RC, Kadel WL. Concerted role of carboxylesterase
in the potentiation of carbofuran toxicity by iso-OMPA pretreatment. J Toxicol
Environ Health 26:447-457 (1989).
59. Cantalamessa F. Acute toxicity of two pyrethroids,
permethrin and cypermethrin in neonatal and adult rats. Arch Toxicol 67:510-3
(1993).
60. Casida JE, Ueda K, Gaughan LC, Jao LT, Soderlund DM.
Structure-biodegradability relationships in pyrethroid insecticides. Arch
Environ Contam Toxicol 3:491-500 (1975).
61. Stott WT, Mckenna MJ. Hydrolysis of several glycol
ether acetates and acrylate esters by nasal mucosal carboxylesterase in
vitro. Fundam Appl Toxicol 5:399-404 (1985).
62. Johnsen H, Odden E, Lie O, Johnsen BA, Fonnum F. Metabolism
of T-2 toxin by rat liver carboxylesterase. Biochem Pharmacol 35:1469-1473
(1986).
63. Fonnum F, Sterri SH, Aas P, Johnsen H. Carboxylesterases,
importance for detoxiÞcation of organophosphorus anticholinesterases
and trichothecenes. Fundam Appl Toxicol 5:S29-38 (1985).
64. Wei RD, Chu FS. ModiÞcation of in vitro metabolism of T-2 toxin by esterase inhibitors. Appl Environ Microbiol
50:115-119 (1985).
65. Durrer A, Walther B, Racciatti A, Boss G, Testa B.
Structure-metabolism relationships in the hydrolysis of nicotinate esters
by rat liver and brain subcellular fractions. Pharm Res 8:832-839 (1991).
66. Aukerman SL, Brundrett RB, Hartman PE. DetoxiÞcation
of nitrosamides and nitrosocarbamates in blood plasma and tissue homogenates.
Environ Mutagen 6:835-849 (1984).
67. Williams FM. Clinical signiÞcance of esterases
in man. Clin Pharmacokinet 10:392-403 (1985).
68. Inoue M, Morikawa M, Tsuboi M, Ito Y, Sugiura M. Comparative
study of human intestinal and hepatic esterases as related to enzymatic
properties and hydrolyzing activity for ester-type drugs. Jpn J Pharmacol
30:529-535 (1980).
69. Brzenzinski MR, Abraham TL, Stone CL, Dean RA, Bosron
WF. PuriÞcation and characterization of a human liver cocaine carboxylesterase
that catalyzes the production of benzoylecgonine and the formation of cocaethylene
from alcohol and cocaine. Biochem Pharmacol 48:1747-1755 (1994).
70. Luttrell WE, Castle MC. Species differences in the
hydrolysis of meperidine and its inhibition by organophosphate compounds.
Fundam Appl Toxicol 11:323-332 (1988).
71. Dickinson RG, Baker PV, Franklin ME, Hooper WD. Facile
hydrolysis of meveverine in vitro and in
vivo: negligible circulating concentrations of the drug
after oral administration. J Pharm Sci 80:952-957 (1991).
72. Liu K, Guengerich FP, Yang SK. Enantioselective hydrolysis
of lorazepam 3-acetate by esterases in human and rat liver microsomes and
rat brain S9 fraction. Drug Metab Dispos 19:609-613 (1991).
73. Bosron WF, Dean RA, Brzezinski MR, Pindel EV. Human
liver cocaine carboxylesterases. Biochem Pharmacol (in press).
74. Welch S, Lee J. The population distribution of genetic
variants of human esterase D. Humangentik 24:329-331 (1974).
75. Coates PM, Mestriner MA, Hopkinson DA. A preliminary
genetic interpretation of the esterase isozymes of human tissue. Ann Hum
Genet 39:1-20 (1975).
76. Varki A, Muchmore E, Diaz S. A sialic acid-speciÞc
O-acetylesterase in human erythrocytes: possible identity with esterase
D, the genetic marker of retinoblastomas and Wilson disease. Proc Natl Acad
Sci USA 83:882-886 (1986).
77. Lee W, Wheatley W, Benedict WF, Huang C, Lee EY-HP.
PuriÞcation, biochemical characterization, and biological function
of human esterase D. Proc Natl Acad Sci USA 83:6790-6794 (1986).
78. Squire J, Dryja TP, Dunn J, Goddard A, Hofmann T, Musarella
M, Willard HF, Becker AJ, Gallie BL, Phillips RA. Cloning of the esterase
D gene: a polymorphic gene probe closely linked to the retinoblastoma locus
on chromosome 13. Proc Natl Acad Sci USA 83:6573-6577 (1986).
79. Okada Y, Wakabayashi K. PuriÞcation and characterization
of esterases D-1 and D-2 from human erythrocytes. Arch Biochem Biophys 263:130-136
(1988).
84. Lee EY-HP, Lee W. Molecular cloning of the human esterase
D gene, a genetic marker of retinoblasoma. Proc Natl Acad Sci USA 83:6337-6341
(1986).
85. Sparkes RS, Sparkes ME, Wilson MG, Towner JW, Benedict
W, Murphree AL, Yunis JJ. Regional assignment of genes for human esterase
D and retinoblastoma to chromosome band 13q14. Science 208:1042-1044 (1980).
86. Ward P, Packman S, Loughman W, Sparkes M, Sparkes R,
McMahon A, Gregory T, Ablin A. Location of the retinoblastoma susceptiblility
gene(s) and the human esterase D locus. J Med Genet 21:92-95 (1984).
87. Yunis JJ, Ramsey N. Retinoblastoma and subband deletion
of chromosome 13. Am J Dis Child 132:161-163 (1978).
80. Duncan AMV, Morgan C, Gallie BL, Phillips RA, Squire
J. Re-evaluation of the sublocalization of esterase D and its relation to
the retinoblastoma locus by in situ hybridization. Cytogenet. Cell Genet
44:153-157 (1987).
81. Young LS, Lee EY-HP, To H, Bookstein R, Shew J, Donoso
LA, Sery T, Giblin M, Sheilds JA, Lee W. Human esterase D gene: complete
cDNA sequence, genomic stucture, and application in the genetic diagnosis
of human retinoblastoma. Hum Genet 79:137-141 (1988).
82. Long RM, Calabrese MR, Martin BM, Pohl LR. Cloning
and sequencing of a human liver carboxylesterase isoenzyme. Life Sci 48:PL43-49
(1991).
83. Riddle PW, Richards LJ, Bowles MR, Pond SM. Cloning
and analysis of a cDNA encoding a human liver carboxylesterase. Gene 108:289-292
(1991).
88. Shibata F, Takagi Y, Kitajima M, Kuroda T, Omura T.
Molecular cloning and characterization of a human carboxylesterase gene.
Genomics 17:76-82 (1993).
89. Munger JS, Shi G, Mark EA, Chin DT, Gerard C, Chapman
HA. A serine esterase released by human alveolar macrophages is closely
related to liver microsomal carboxylesterases. J Biol Chem 266:18832-18838
(1991).
90. Lewis JL, Nikula KJ, Novak R, Dahl AR. Comparative
localization of carboxylesterase in F344 rat, beagle dog, and human nasal
tissue. Anat Rec 239:55-64 (1994).
91. Mattes PM, Mattes WB. Alpha-naphthyl butyrate carboxylesterase
activity in human and rat nasal tissue. Toxicol Appl Pharmacol 114:71-76
(1992).
92. Bogdanffy MS, Kee CR, Hinchman CA, Trela BA. Metabolism
of dibasic esters by rat nasal mucosal carboxylesterase. Drug Metab Dipos
19:124-129 (1991).
93. Kuykendall JR, Taylor ML, Bogdanffy MS. Cytotoxicity
and DNA-protein crosslink formation in rat nasal tissues exposed to vinyl
acetate are carboxylesterase-mediated. Toxicol Appl Pharmacol 123:283-292
(1993).
94. Gan KN, Smolen A, Eckerson HW, La-Du BN. PuriÞcation
of human serum paraoxonase/arylesterase. Evidence for one esterase catalyzing
both activities. Drug Metab Dispo 19:100-106 (1991).
95. Smolen A, Eckerson HW, Gan KN, Hailat N, La-Du BN.
Characteristics of the genetically determined allozymic forms of human serum
paraoxonase/arylesterase. Drug Metab Dispos 19:107-112 (1991).
96. Reiner E, Pavkov´ic E, Rad´icZ, Simeon
V. Differentiation of esterases reacting with organophosphorus compounds.
Chem Biol Interact 87:77-83 (1993).
97. Vitarius JA, Sultatos LG. The role of calcium in the
hydrolysis of the organophosphate paraoxon by human serum A-esterase. Life
Sci 56:125-134 (1995).
98. Fernando G, Gonzalvo MC, Hernandez AF, Villanueva E,
Pla A. Differences in the kinetic properties, effect of calcium and sensitivity
to inhibitors of paraoxon hydrolase activity in rat plasma and microsomal
fraction from rat liver. Biochem Pharmacol 48:1559-1568 (1994).
99. Sorrenson RC, Primo-Parmo SL, Kuo C-L, Adkins S, Lockridge
O, La-Du B. Reconsideration of the catalytic center and mechanism of mammalian
paraoxonase/arylesterase. Proc Natl Acad USA 92:7187-7191 (1995).
100. Clarke DJ, George SG, Burchell B. Glucuronidation
in Þsh. Aquat Toxicol 20:35-56 (1991).
101. Dutton GJ. Glucuronidation of Drugs and Other Compounds.
Boca Raton, FL:CRC Press, 1980.
102. Wall KL, Gao W, Koppele JM, Kwei GY, Kauffman FC,
Thurman RG. The liver plays a central role in the mechanism of chemical
carcinogenesis due to polycyclic aromatic hydrocarbons. Carcinogenesis 12:783-786
(1991).
103. Sammett D, Lee EW, Kocsis JJ, Snyder R. Partial hepatectomy
reduces both metabolism and toxicity of benzene. J Toxicol Environ Health
5:785-792 (1979).
104. Reitz RH, Fox TR, Quast JF, Hermann EA, Watanabe PG.
Molecular mechanism involved in the toxicity of orthophenylphenol and its
sodium salt. Chem Biol Interact 43:99-119 (1983).
105. Cardona RA, King CM. Activation of the O-glucuronide
of the carcinigen N-hydroxy-N-þuroenyl-acetamide by enzymatic deacetylation
in vitro: formation of þuorenylamine-tRNA
adducts. Biochem Pharmacol 25:1051-1056 (1975).
106. Irving CC. Inþuence of the aryl group on the
reaction of glucuronides of N-arylacethydroxamic acids with polynucleotides.
Cancer Res 37:524-528 (1977).
107. Clarke DJ, Burchell B. The uridine diphosphate glucuronosyltransferase
multigene family: function and regulation. In: Handbook of Experimental
Pharmacology: Conjugation and Deconjugation Reactions in Drug Metabolism
and Toxicity, Vol 112 (Kauffman FC, ed). New York:Springer-Verlag, 1994;3-44.
108. Miller EC, Miller JA. Searches for ultimate chemical
carcinogens and their reactions with cellular macromolecules. Cancer 47:2327-2345
(1981).
109. Lorentzen RJ, TsoPO. Benzo(a)pyrenedione/benzo(a)pyrenediol
oxidation-reduction couples and the generation of reactive reduced molecular
oxygen. Biochemistry 16:1467-1473 (1977).
110. Miller A, Miller EC. Electrophilic sulfuric acid ester
metabolites as ultimate carcinogens. Adv Exp Med Biol 197:583-595 (1986).
111. Bock KW. UDP-glucuronosyltransferases and their role
in metabolism and disposition of carcinogens. Adv Pharmacol 27:367-383 (1994).
112. Patrianakos C, Hoffmann D. Chemical studies on tabacco
smoke, LXIV. On the analysis of aromatic amines in cigarette smoke. J Anal
Toxicol 3:150-154 (1979).
113. Mommsen S, Aagaard J. Tobacco as a risk factor in
bladder cancer. Carcinogenesis 4:335-338 (1983).
114. Wilson RH, DeEds F, Cox AJ Jr. The toxicity and carcinogenic
activity of 2-acetaminoþuorene. Cancer Res 1:595-608 (1941).
115. Kadlubar FF, Miller JA, Miller EC. Hepatic microsomal
N-glucuronidation and nucleic acid binding of N-hydroxy arylamines in relation
to urinary bladder carcinogenesis. Cancer Res 37:805-814 (1977).
116. Poupko JM, Hearn WL, Radomski JL. N-Glucuronidation
of N-hydroxy aromatic amines: a mechanism for their transport and bladder-speciÞc
carcinogenicity. Toxicol Appl Pharmacol 50:479-484 (1979).
117. Mirsalis JC, Hamiliton CM, Schindler JE, Green CE,
Dabbs JE. Effect of soya bean þakes and liquorice root extract on
enzyme induction and toxicity in BGC3F1 mice. Food Chem Toxicol
31:343-350 (1993).
118. Mulder GJ, Coughtrie MWH, Burchell B, eds. Conjugation
Reactions in Drug Metabolism: An Integrated Approach. Philadelphia:Tayler
& Francis, 1990.
119. Harding D, Fournel-Gigleux S, Jackson MR, Burchell
B. Cloning and substrate speciÞcity of a human phenol UDP-glucuronosyltransferase
expressed in COS-7 cells. Proc Natl Acad Sci USA 85:8381-8385 (1988).
120. Visser TJ, Kaptein E, van Raaij. Glucuronidation of
thyroid hormone with preference for 3,3´,5´-triiodothyronine
(reverse T3). FEBS Letters 315:65-68 (1993).
121. Jackson MR, McCarthy LR, Harding D, Wilson S, Coughtrie
MWH, Burchell B. Cloning of a human liver microsomal UDP-glucuronosyltransferase
cDNA. Biochem J 242:581-588 (1987).
122. Iyanagi T, Haniv M, Sagawa K, Fujii-Kuriyama Y, Watanabe
S, Shively JE, Anan KF. Cloning and characterization of cDNA encoding 3-methylcholanthrene-inducible
rat mRNA for UDP-glucuronosyltransferase. J Biol Chem 261:15607-15614 (1986).
123. Ralston EJ, English JJ, Dooner HK. Sequence of three
bronze alleles of maize and correlation with the genetic Þne structure.
Genetics 119:185-197 (1988).
124. Hundle BS, O'Brien DA, Alberti M, Beyer P, Hearst
JE. Functional expression of zeaxanthin glucosyltransferase from Erwinia
herbicola and a proposed urindine diphosphate binding site. Proc Natl Acad
Sci USA 89:9321-9325 (1992).
125. Crigler JF, Najjar VA. Congenital familial non-haemolytic
jaundice with kernicterus. Pediatrics 10:169-180 (1952).
126. Roy Chowdhury J, Wolkoff AW, Arias IM. Hereditary
jaundice and disorders of bilirubin metabolism. In: The Metabolic Basis
of Inherited Disease (Scriver CR, ed). 6th ed. New York:McGraw-Hill, 1989;1085-1094.
127. Branchereau S, Ferry N, Myara A, Saato H, Kowai O,
Trivin F, Houssin D, Danos O, Heard J. Correction of bilirubin glucuronyltransferase
in Gunn rats by gene transfer in the liver using retroviral vectors. Chirurgie
119:642-648 (1993).
128. Gilbert A, Lereboullet P. La cholamine simple familiale.
Sem Med 21:241-245 (1901).
129. Cornelius CE. Fasting hyperbilirubinemia in Bolivian
squirrel monkeys with a Gilbert's-like syndrome. Adv Vet Sci Comp Med 37:127-147
(1993).
130. Fogelfeld L, Sarova-Pinchas I, Meytes D, Barash V,
Brok-Simoni F, Feigl D. Phosphofructokinase deÞciency (Tarui disease)
associated with hepatic glucuronyltransferase deÞciency (Gilbert's
syndrome): a case and family study. Israel J Med Sci 26:328-333 (1990).
131. Pang KS, Mulder GJ. A commentary: effect of flow on
formation of metabolites. Drug Metab Dispos 18:270-275 (1990).
132. Krijgsheld KR, Koster HJ, Scholtens E, Mulder GJ.
Cholestatic effect of harmol glucuronide in the rat. Prevention of harmol-induced
cholestasis by increased formation of harmol sulfate. J Pharmacol Exp Ther
221:731-734 (1982).
133. Pandey A, Hassen AM, Benedict DR, Fitzpatrick DW.
Effect of UDP-glucuronyltransferase induction on zearalenone metabolism.
Toxicol Let 51:302-211 (1990).
134. Viani A, Temellini A, TUsini G, PaciÞci GM.
Human brain sulphotransferase and glucuronyltransferase. Hum Exp Toxicol
9:65-69 (1990).
135. Rao NJ, Jagadeesan V. Effect of long term iron deÞciency
on the activities of hepatic and extra-hepatic drug metabolising enzymes
in Fischer rats. Comp Biochem Physiol Biochem Mol Biol 110:167-173 (1995).
136. Goud VK, Polasa K, Krishnaswamy K. Effect of turmeric
on xenobiotic metabolising enzymes. Plant Foods Hum Nutr 44:87-92 (1993).
137. Iwasaki M, Iwama M, Miyata N, Iitoi Y, Kanke Y. Effects
of vitamin E deÞciency on hepatic microsomal cytochrome P450 and phase
II enzymes in male and female rats. Int J Vitam Nutr Res 64:109-112 (1994).
138. Oka S, Terayama K, Kawashima C, Kawasaki T. A novel
glucuronyltransferase in nervous system presumably associated with the biosynthesis
of HNK-1 carbohydrate epitope on glycoproteins. J Biol Chem 267:22711-22714
(1992).
139. Dulik DM, Fenselau C. Species-dependent glucuronidation
of drugs by immobilized rabbit, rhesus monkey, and human UDP-glucuronyltransferases.
Drug Metab Dispos 15:473-477 (1987).
140. Cornelius CE. Fasting hyperbilibrubinemia in Bolivian
squirrel monkeys with a Gilbert's-like syndrome. Adv Vet Sci Comp Med 37:127-147
(1993).
141. Cretton EM, Sommadossi JP. Modulation of 3´-azido-3´-deoxythy-midine
catabolism by probenecid and acetaminophen in freshly isolated rat hepatocytes.
Biochem Pharmacol 42:1475-1480 (1991).
142. Chaudhuri NK, Servando OA, Manniello MJ, Luders RC,
Chao DK, Bartlett MF. Metabolism of tripelennamine in man. Drug Metab Dispos
4:372-387 (1976).
143. Fishcher LJ, Thies RL, Charkowski D, Donham KJ. Formation
and urinary excretion of cyproheptadine glucuronide in monkeys, chimpanzees,
and humans. Drug Metab Dispos 8:422-424 (1980).
144. Brockmoller J, Roots I. Assessment of liver metabolic
function. Clinical implications. Clin Pharmacokinet 27:216-248 (1994).
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