Vol. 26, Issue 12, 1213-1216, December 1998
Short- and Long-Term Projections About the Use of Drug Metabolism
in Drug Discovery and Development
Ronald E.
White
Department of Drug Metabolism and Pharmacokinetics, Schering-Plough
Research Institute
 |
Abstract |
The science of drug metabolism, like any other science, has
advanced from simple beginnings (by today's standards) to its present
state. One can examine the path that has been taken to understand the
forces driving the direction of evolution of this science. The trends
discovered can then be used to make reasonable extrapolations about the
changes that might be expected in the future. That exercise is the
subject of this article. The main focus will be on drug
metabolism as practiced in the industrial environment, representing the
author's main experience as well as the principal arena of practical
applications of the science. The discussion will draw mainly on broad
phenomena occurring in this application of drug metabolism to drug
discovery and development.
 |
Introduction |
If
we take a long view of the history of the use of drug
metabolism (DM)1 studies in
industrial drug discovery and development, we can see several phases.
For many years, companies developing new drugs did not pay any
attention to the question of the metabolic fate of the compound.
Indeed, the question was not even asked. Later, as regulatory agencies
began to expect a more complete accounting of the actions and
disposition of new drugs submitted for marketing approval, companies
introduced the isolation and identification of metabolites recovered
from urine and feces. We may call this the "chemistry" phase. This
phase was largely descriptive, with little understanding of the
phenomena leading to certain metabolic pathways except the purely
chemical properties of the drug compound itself.
Then, in the 1970s, we entered the "biochemistry" phase, which
allows us to account for and even predict interspecies differences, individual variation, and drug-drug interactions occurring because of
drug-metabolizing enzymes. Presently, we are watching the
development of the "genetics" phase, in which various technologies
are being introduced to allow industry to take into consideration the
genetic determinants of drug metabolism during the preclinical
selection and clinical evaluation of new drug candidates.
Interestingly, this is not a process of serial replacement of one
approach by the next, because nothing has become obsolete: all phases
continue to coexist. For instance, the isolation and identification of metabolites is even more important today than it was in the past.
What, then, is the next phase? For this, one must look into the
ultimate destination of medicine. In other words, what will therapeutics look like in the future? I believe that in the first quarter of the 21st century, we will enter a new era, which I will call
the "biology" phase. This article will examine these phases and the
evolving direction of DM, especially as it is applied to industrial
drug discovery and development.
 |
Discussion |
Present Practices.
A good place to start is to consider the role of DM in present-day drug
development. We can consider that DM is involved in three distinct
areas of the process: discovery, nonclinical development, and
clinical development. Although DM and pharmacokinetics (PK) are
interrelated, they are nonetheless distinct, and this discussion will
not consider PK except as the consequence of DM.
First, consider the discovery phase. After identification of a novel
therapeutic target (e.g. an enzyme to be inhibited or a
receptor to be antagonized), a discovery program needs to demonstrate proof-of-principle in a predictive animal pharmacological model. It is
common for this stage to be delayed for reasons of poor efficacy of the
lead compound in the animal model, despite good in vitro
potency. Among the several reasons that the desired pharmacology might
not be expressed in the animal model is rapid metabolism, resulting in
low exposure of the target tissue to the test compound. Recognition
that metabolism limits exposure (by experiments showing low plasma and
tissue levels, as well as excretion of substantial portions of the dose
as metabolite) leads next to identification of the pathway of
metabolism and the structural site of chemical modification of the test
compound (by modern methods of chromatography and spectroscopic
structure elucidation, most notably liquid chromatography/mass spectroscopy/mass spectrometry and liquid chromatography/nuclear magnetic resonance). Having identified the metabolic "hot
spot," the DM scientist collaborates with the synthetic-medicine
chemist to design several analogs to be more metabolically stable than the original lead compound. A combination of in vitro
(e.g. liver microsomes) and in vivo methods are
used to determine which, if any, of the analogs has been successfully
stabilized. Dosing with the metabolically improved analog normally
results in expression of the desired pharmacology, allowing the program
to move into the phase of optimization of activity.
Typically, hundreds or even thousands of analogs are synthesized and
tested in vitro against the pharmacological target protein as medicinal chemistry establishes the structure-activity relationship for this chemotype and learns how to make extremely potent analogs. During this process, in which new metabolically labile groups might be
introduced into the chemotype, DM has the important function of
determining metabolic liability of the new potent analogs to ensure
that the molecules resulting from activity optimization retain
favorable metabolic characteristics. The advent of combinatorial chemistry, with its potential to generate large numbers of
pharmacologically potent compounds, has produced a severe
challenge to the DM scientist to devise reliable methods of assessing
metabolic stability with throughput rates adequate to provide
nearly real-time feedback to chemistry. The solutions, although varied,
generally fall into two types: either higher throughput in
vitro metabolic systems such as liver microsomes, or accelerated
in vivo systems such as simultaneous multicompound dosing to
rats or dogs, with liquid chromatography/mass spectroscopy/mass
spectrometry analysis allowing deconvolution of the data (Berman
et al., 1997
; Olah et al., 1997
).
The result of this optimization phase is a clinical candidate that must
be assessed for its "developability" with respect to DM
(i.e. determining whether favorable DM and PK
characteristics in the animal models will also be displayed in humans).
This assessment involves using animal in vitro and in
vivo data combined with human in vitro data to
determine qualitatively whether humans will eliminate the clinical
candidate via the same pathways as did the animal models and to
quantitatively (or at least semiquantitatively) estimate the overall
clearance rate attributable to those pathways (Carlile et
al., 1997
; Iwatsubo et al., 1997
). Many
companies also establish the human P450 enzyme profile at this point to anticipate the following:
|
(a) potential drug-drug interactions involving competition for
shared P450 enzymes (e.g. CYP 3A4);
|
|
(b) individual variability due to highly variable or polymorphic
P450 enzymes (e.g. CYP 2C9 or 2D6); and
|
|
(c) probable P450 enzyme induction (e.g. CYP 1A2).
|
Once the study moves into the clinic, Phase I normally includes an
ADME study with the 14C-labeled drug,
which allows a comparison of the actual human in vivo
metabolic pathways with those determined in the animal toxicology
species. Discovery of substantial amounts of a circulating metabolite
in humans that was not present in any of the toxicological species
means that the human subjects are being exposed to a compound with
unknown toxic potential. Often this will result in a hiatus of the
clinical work until an appropriate animal species can be tested with
the synthesized metabolite. Thus the metabolite-structure elucidation
process of the clinical ADME study needs to proceed quickly and
metabolite standards synthesized promptly for toxicology dosing, if
necessary, and for metabolite-assay development. To minimize the chance
of having to put the clinical study on hold, most companies strive to
select a preclinical toxicological animal species that has been shown
to exhibit an in vitro metabolism profile similar to that of
humans. There are two other reasons for determining the metabolite
profile prior to the beginning of the Phase II efficacy trials in
patients. The first is to detect active metabolites, which might in
some cases account for the majority of therapeutic effect, as for
instance with losartan (Ohtawa et al., 1993
). The second is
to determine whether a P450-dependent pathway is responsible for a
major part of the elimination of the drug. In the latter case, we may
be able to dismiss an entire category of potential drug-drug
interactions if most of the drug elimination is not P450-dependent,
since concurrently administered P450 inhibitors such as ketoconazole or
quinidine (Rendic and Di Carlo, 1997
) cannot elevate blood levels of
the drug being investigated. Of course, the converse can still be true
if the new drug is itself a potent P450 inhibitor. Thus this stage is important to assess the relevancy of prior in vitro
metabolic studies, which can only indicate the potential for
a P450-dependent metabolism or inhibition.
At the end of clinical trials, then, ideally we will know the metabolic
pathways, blood levels, and PK of circulating metabolites, the
existence of potentially reactive metabolites, comparative metabolism
profiles across several species, and the P450 profile as a substrate,
an inhibitor, and an inducer. These data will allow us to understand,
and even predict, the PK, pharmacology, and toxicology of the new drug
entity under a variety of potential situations, ranging from
idiosyncratic individuals and special populations to polypharmacy and
some disease states. This is a wealth of clinically useful information,
representing the state-of-the-art in DM knowledge, but are there
additional things we would like to know? This question serves as one
basis for the extrapolation of future trends in DM and will be
elaborated upon in a later section.
Historical Perspective.
Another way to project trends in DM is to look at the forces that have
driven DM evolution in the past. The history of DM in industrial drug
discovery/development can be characterized as the pursuit of an
increasingly greater scientific understanding of the DM aspects of the
clinical behavior of new drug entities and correspondingly smaller
fractions of purely phenomenological descriptions of the drug. I have,
somewhat arbitrarily, divided this evolution into phases. Let us
examine these phases and see where they direct us into the future.
"Chemistry" phase of industrial DM (1950-1980).
Although DM has existed as a science since the
19th century (Conti and Bickel, 1977
), it was not
incorporated into the development of new drugs until much later. During
this "chemistry" phase, the main DM objective for the registration
of a new drug entity was to account for the elimination of drug-related
materials from the body. This was primarily accomplished by mass
balance studies based on the recovery of radioactivity during prolonged
collection periods after dosing with a radiolabeled drug. Isolation and
identification of metabolites from urine was accomplished to the extent
possible. In the earlier part of this period, this literally involved
chemical isolation and crystallization of the metabolites, followed by traditional chemical identification methods (i.e. elemental
analysis, solid derivatives, infrared spectroscopy, and mass
spectrometry). Proof-of-structure was accomplished by unambiguous
chemical synthesis of the putative metabolite structure. Obviously,
only the major metabolites excreted in the urine were amenable to these
classic chemical-identification methods. In the latter part of this
period, the introduction of high-performance liquid chromatography made possible the detection of less prominent urinary metabolites as well as any major circulating metabolites. Overall, this phase was largely descriptive, with some understanding of the purely chemical
phenomena resulting in a particular metabolic pathway, but little
understanding of the biological determinants of the processes, such as
the characteristics, regulation, and even location of the enzymes involved.
"Biochemistry" phase of industrial DM (1975-1995).
In this discussion, the term "biochemistry" is used in a broad
sense, encompassing not only the subcellular processes responsible for
xenobiotic removal but also the structural chemistry of the enzymes and
the molecular biology of the genes involved. This phase began with a
decade of basic biochemical research in which the DM enzymes were
studied at the molecular level. Proof of the "isozyme" hypothesis
of P450 substrate selection was accomplished by the isolation and
rigorous biochemical characterization of the hypothesized enzyme forms,
thereby demonstrating their actual existence. Subsequent work showed
the presence of many more forms of P450 than anyone had guessed
existed, based merely on differential substrate metabolism patterns. By
the early 1990s, the human P450 enzyme family was well-established, and
it was possible to dissect such phenomena as species differences,
interindividual differences, differential enzyme induction, and
drug-drug metabolic interactions into the individual contributions made
by discrete P450 enzymes, thereby allowing not only understanding of
these phenomena in the clinical setting but also their preclinical prediction.
In addition, during this phase we gained an appreciation and
understanding of the role of reactive metabolites in certain drug
toxicities. In many cases, the reactive metabolites have been found to
be the result of P450-dependent oxidations (Nelson, 1995
), but
nonoxidative processes such as the production of reactive acyl
glucuronides have also been recognized (Spahn-Langguth and Benet,
1992
). In fact, checking for acyl glucuronides and consequent irreversible plasma protein binding has become a routine part of the DM
profiling for carboxylic acid drugs. Also during this phase, we
developed a comprehension of the importance of drug transporters in the
intestine, liver, and kidney in determining the rate and extent of
metabolism (Watkins, 1997
).
"Genetics" phase of industrial DM (1990-present and into the
future).
Today we are seeing the application of the previous decade's basic
research into industrial and clinical practice. We now routinely
consider the genetic determinants of DM at the clinical stage and even
the discovery stage. This consideration is still limited to phenotyping
subjects in clinical trials as "poor" or "extensive"
metabolizers of standard substrates for the polymorphic P450 enzymes
(i.e. CYP 2C9, 2C19, 2D6) when drug candidates have been
found to be predominantly metabolized by these enzymes. We will soon
see the genotyping of subjects in clinical trials and, eventually, of
all patients. As more information comes in from basic research, we will
undoubtedly find polymorphisms in other drug-metabolizing enzymes and
drug transporters and will wish to add these forms to the list of genes
that are typed. "Gene-chip" technology will soon make large-scale
genotyping of many enzymes and proteins a practical reality. This
ability to determine the genotype must be accompanied by an
understanding of the clinical consequence of the particular polymorph
for a particular drug, in the same way that we presently associate CYP
2D6-deficient patients with adverse events with certain drugs. Our
ability to manipulate the genes for drug-metabolizing enzymes will
provide us with transgenic "humanized" animal models that might
more perfectly reflect certain clinical aspects of new drugs than do
our present in vitro methods, allowing more reliable
prospective investigation of compounds prior to their selection as
clinical candidates. On a purely utilitarian level, we have already
seen the large-scale expression of single enzymes in bacterial, yeast,
or insect cells, making practical their extensive use as research tools
for drug development at an economically feasible cost.
"Biology" phase of DM (2010?).
To extrapolate beyond a few years into the future requires an
understanding of the direction of DM research and subsequent application. Toward that end, three premises are introduced here.
| I. |
The driving force for the evolution of DM research
has been, and will remain, the need to assure safety and efficacy in
the clinical application of new drug entities.
|
| II. |
Several "black box" areas exist in our current
understanding of DM.
|
| III. |
Therapeutics will see a gradual decline in the use of small
organic molecules in favor of peptides, proteins, nucleic acids and
viral vectors to manipulate genes to restore normal physiology in
diseased tissue.
|
Premise I should not be very controversial. Although basic
knowledge has always been and should continue to be a worthy end unto
itself, the majority of funding for DM research by both government and
industrial sponsors has been to support the clinical utility of drugs.
However, the second two premises might not be as widely accepted.
Concerning Premise II, "black box" problems are those for which we
have only phenomenological data without a fundamental understanding of
the processes underlying the observable phenomena. The following example illustrates what this means: In 1968, Lu and Coon (1968)
demonstrated the solubilization of active liver microsomal cytochrome P450, showing that this enzyme was a discrete molecular entity whose
activity was not intrinsically linked to its membrane localization. Until then, we had only vague ideas about how an "enzyme" could metabolize so many different substrates. Heme was certainly present in
P450, but was P450 a normal protein-based enzyme, or was its activity
due to some unique configuration of heme, lipid, protein, and drug? How
did it accomplish the unusual reaction of splitting molecular oxygen,
putting one of the oxygen atoms into the substrate and reducing the
other to water? Why did certain inducers enhance one kind of reaction
and other inducers a different one? Lu and Coon showed that the system
could be dissected and analyzed. This feat was followed by partial (van
der Hoeven and Coon, 1974
) and full purification (van der Hoeven
et al., 1974
; Imai and Sato, 1974
), turning a "black
box" problem ("What is P450 and how does it work?") into a
reproducible biochemical entity that could be studied and understood by
the methods of biochemistry. Soon it was clear that multiple P450
enzymes existed with overlapping substrate selectivities. Subsequently,
Dr. Lu and others followed up his basic science contribution by
introducing P450-based in vitro methods into industrial
research, leading the way to a much better understanding of the
metabolism of many real drugs. Today, 30 years after the initial
opening of the P450 "black box," we enjoy such a good understanding
of P450 phenomena that characterization of the P450 profile of a
new drug has become a routine expectation of the Food and Drug
Administration for a new drug filing. And at least nine
companies exist partly or mainly by providing P450 products and services.
So, with this example in mind, we can ask the question, What are the
remaining "black boxes" of drug metabolism? This is surely where
future research will go. It is not hard to list several potential
"black boxes" and to imagine the utility that opening them would
have for the science of DM. For some of these, we can already see into
the partially opened box, while for others we are still speculating:
| 1. |
What is the molecular basis for the seemingly mutually
exclusive phenomena of high discrimination for oxidation at a
particular site on a given substrate and low discrimination among many
distinctly different substrate chemotypes by P450 enzymes? This is
especially true of CYP 3A4, which also exhibits some poorly understood
interactions between substrates and inhibitors (Wang et al.,
1997 ).
|
| 2. |
What are the three-dimensional structures of the DM enzymes,
including the P450s, the flavin-containing monooxygenases, the many
types of conjugating transferases, the keto-reductases, the carboxylesterases, etc.? Although homology modeling methods
are revealing much useful information (Graham-Lorence et
al., 1995 ; De Groot and Vermeulen, 1997 ; Lewis and Lake, 1997 ;
Szklarz and Halpert, 1997 ; Tan et al., 1997 ), we realize
that direct structural determination would be much better.
|
| 3. |
How is the reactive oxygen intermediate of P450 produced, what
is its structure, and how does it oxidize substrates? Despite over 20 years of effort, the reactive oxygen intermediate has not been isolated
and structurally characterized. Recent new proposals for the structure
show that although there is a widespread perception that this issue is
settled, it remains a subject of debate and surprises (Newcomb et
al., 1995 ; Benson et al., 1997 ; Vaz et al., 1998 ).
|
| 4. |
Can we reliably predict the human P450 induction pattern of a
new drug candidate on the basis of preclinical data? There is general
acknowledgment that induction in animals can be very misleading, and
much better methods, perhaps based on cultured hepatocytes, are needed.
|
| 5. |
How can one predict reactive metabolite-mediated toxicities?
This remains possibly the greatest challenge in contemporary DM because
it involves the prediction of not only the formation of reactive
metabolites but also which cellular nucleophiles are susceptible to
attack and what the consequence will be of covalent modification of the
nucleophile. In addition, the possibility of free-radical chain
reaction initiation by the reactive metabolites is only beginning to be
appreciated (Nelson, 1995 ).
|
| 6. |
What other forms of mammalian P450 have yet to be discovered,
where are they localized, and what are their functions? The vast
majority of P450 research has focused on the hepatic enzymes. Not until
the early 1990s was the importance of intestinal CYP 3A4 realized, and
we know now that P450 enzymes can be found in such diverse tissues as
skin, nasal mucosa, and brain. What are all these P450 enzymes really for?
|
Finally, Premise III is the reason for calling this the
"biology" phase, referring to the trend toward adjusting the health of diseased cells and tissues by manipulation purely at the biological level. By the middle of the 21st century, therapy
will become dominated by the ability of medicine to orchestrate the
in vivo repair of pathological states and reconstruction of
healthy states by manipulation at the genetic level of the cellular
processes responsible for pathophysiology. We have already seen
attempts to repair disease conditions such as cystic fibrosis by
insertion of good copies of the critical gene, either by direct exposure of DNA sequences to cells or by transport into the cell with
engineered viral vectors. Antisense DNA sequences to suppress the
transcription and translation of undesired genes are also being
actively pursued. Our methods will become much better in the next 10 to
20 years, and the range of interventions we attempt will greatly
increase. In the extreme case, rather than repairing a diseased organ,
it will be possible, with expected developments in developmental
biology, to grow new organs, with the initial culture being in
vitro and incorporating engineered genetic material to prevent
recurrence of the original disease state. At some point, we will seek
to prevent disease rather than cure it. This will become possible with
the elucidation of the sequence of the complete human genome, expected
to be complete within a few years, and subsequent comprehension of the
information therein. Anticipation and prepathological correction of
potential diseases (e.g. breast cancer) will first be
accomplished with adults but will inevitably regress to earlier stages
(adolescents, children, neonates, fetuses, eggs, and sperm). We must
strive to ensure that society develops a humane and rational policy
about such eugenic programs, preserving and encouraging the diversity
of the human genome, but the imperative to ease human suffering will,
without a doubt, bring such capabilities.
The main consequence of this trend to manipulate the biology at a
fundamental level will be accompanied by a gradual decline in
our reliance on small molecules as therapeutic agents (i.e. drugs as we commonly think of them) and the introduction of gene repair/replacement modalities as first-line therapy. One may ask, "Disease is one thing, but what about accidents or infections?" However, in the future, physicians will be able to induce rapid tissue
regeneration to treat physical trauma such as cuts, hemorrhages, or
broken bones. The risk of infection will be low, because people will be
equipped from birth with a complete set of robust immune responses to
all known pathogens. On the other hand, even biology doesn't use
macromolecules for everything; normal biochemistry involves many small
organic molecules as hormones, messengers, cofactors, etc.
(e.g. steroids, prostaglandins, neurotransmitters). So it
seems likely that we will have a continuing need for an irreducible set
of traditional-type drugs in the future: for example, those to treat
pain. It also seems likely that as we reach this stage of a limited set
of small-molecule drugs, their evolution by the continuing advance of
pharmacology and DM will plateau, so that no further meaningful
improvements are possible. We will then have "the drugs" and we
will know almost everything that is important to be known about them.
At that point, true "drug" metabolism will become a very limited
subject, and we will broaden our view to "xenobiotic" metabolism,
in which we redirect our attention to the disposition of the myriad
nontherapeutically ingested compounds, as perhaps from foods and
environmental chemicals. However, the biological components of drug
metabolism (i.e. the enzymes, transporters, and gene and
regulatory elements), which were present before there were drugs and
which will remain after drugs are no longer used, will continue to be a
rich field of investigation for a long time, as we discover the
complete roles of these systems in human physiology.
 |
Footnotes |
Send reprint requests to: Dr. Ronald E. White,
Department of Drug Metabolism and Pharmacokinetics, Schering-Plough
Research Institute, 2015 Galloping Hill Road, Kenilworth, NJ
07033-1300. e-mail: ronald.white{at}spcorp.com
 |
Abbreviations |
Abbreviations used are:
DM, drug metabolism;
PK, pharmacokinetics;
P450, cytochrome P450.
 |
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