* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Drug Metabolism and Individualized Medicine
Survey
Document related concepts
Orphan drug wikipedia , lookup
Polysubstance dependence wikipedia , lookup
Psychopharmacology wikipedia , lookup
Compounding wikipedia , lookup
Neuropsychopharmacology wikipedia , lookup
Neuropharmacology wikipedia , lookup
Drug design wikipedia , lookup
Theralizumab wikipedia , lookup
Pharmacognosy wikipedia , lookup
Pharmaceutical industry wikipedia , lookup
Drug discovery wikipedia , lookup
Prescription costs wikipedia , lookup
Drug interaction wikipedia , lookup
Transcript
Current Drug Metabolism, 2003, 4, 33-44 33 Drug Metabolism and Individualized Medicine Pratima Srivastava* Division of Pharmacokinetics and Drug Metabolism Central Drug Research Institute Lucknow-1 India Abstract: Drug metabolism refers to the biochemical transformation of a compound into another more polar chemical form. Absorption, distribution, metabolism and excretion comprise an integral part in understanding the safety and efficacy of a potential new drug. Detailed in-depth knowledge of the Pharmacokinetics and Drug Metabolism of a new drug entity is considered a prerequisite to know the appropriate route of administration, correct dose etc. Sometimes there is (are) different/unwanted effect(s) of certain drugs in different populations. This is particularly true for the drug having narrow therapeutic index. Often these different effects are detrimental to an individual, thus termed as adverse drug reactions. After the raw draft of human genome has evolved, it has become increasingly clear that change(s) in the drug response between individuals, is due to the occurrence of genetic polymorphisms in the Phase I and II drug metabolizing enzymes, due to which distinct subgroups in the population differ in their ability to perform certain drug biotransformation reactions. The study about the occurrence of genetic polymorphisms in drug metabolizing enzymes is termed as Pharmacogenetics/ Pharmacogenomics. Pharmacogenetic characterization of particular drug can be both phenotypically or genotypically conducted in population groups. The study is very important to check the post-marketed drug withdrawal, if a particular percentage of population suffers from adverse drug reactions, and thus a lot of revenue be saved. The study also helps to find out Right Medicine for Right Individual or Individualized Medicine. HUMAN GENOME The mission impossible has been possible, thanks and credentials to the scientists involved in the project. The $ 3 billion Human Genome Project to map and read the complete instruction manual of humanity had its origins in the meeting at ski resort town of Alta in Utah, US. Scientists agreed that it would have to be one immense, complex and expensive program: transcribing the BOOK OF LIFE. On June 26Th 2000, officially the book of life was open for all after the completion of the first rough draft of the Human Genome Project [1]. Near completion of the Human Genome Project may not be taken as an end to the genetic characterization of the human genetic element but rather a beginning in which we can be benefited by the previous present knowledge in the field. Real information, which could be gathered from the study, is: # Human genes are actually much less than estimated earlier. # It is actually a gene network and not a gene, which is responsible for translation. # Much correlation exists between the bacterial and the human genome. # The difference in genomes between different races is minuscule (0.1%). This difference in the genome is responsible for altered enzymatic/receptor activities in the human, and when it is in *Address correspondence to this author at the Dept. of Pharmacology and Therapeutics Roswell Park Cancer Institute Buffalo NY-14263 USA; Email: [email protected]; [email protected] and [email protected] 1389-2002/03 $41.00+.00 the drug metabolism enzymes, then it is sure that the individual will suffer from alteration in the drug metabolizing capacity. Also it may make the individual prone to the infection and the toxins generated therein, because of the change in the endobiotics metabolizing capacity. During our increasing efforts to know the uncanny occult of nature we come across different diseases, which affect the human population and to harness them there are myriad of drugs. The effect of the drugs is to curb the disease but sometimes a quite contrary picture emerges i.e. the occurrence of the unnatural side effects of the drugs popularly known as the adverse drug reactions or ADRs [2]. This is due to the vulnerable alteration(s) in the genetic makeup of an individual, and sometimes it can be life threatening also [3]. The therapeutic as well as side effects of a drug may vary according to genetic make-up of an individual [4]. This is particularly important for drugs with narrow therapeutic index, or a wide dose response curve. Because of genetic variation in the drug metabolizing capacity, a predisposed individual may show one of the following variant responses: a). Lack of efficacy at normal drug dose, requiring higher dose to achieve the expected therapeutic response. b). Much higher effect at the normal dose leading to development of significant side effects which are otherwise expected only at the higher dose. For these individuals, a lower dose of the drug may be effective and acceptable. If the number of such individuals in the population is large (which may vary from population to population) then even an otherwise good drug may be discarded as ineffective or too toxic. © 2003 Bentham Science Publishers Ltd. 34 Current Drug Metabolism, 2003, Vol. 4, No. 1 In the genetically variable individuals the drug has a qualitatively different response, therefore, unexpected (idiosyncratic) adverse drug reactions may be seen; eg. Primaquine induced haemolytic anemia in G-6PD deficient individual [5]. It is well evident that as a result of the genetic differences, the rate of metabolism of nortriptyline in adults ranges from 18 to 93 hr. Please refer to http://www. pharmabiz.com/archives and F.D.C. Reports 1997 [6]. DRUG METABOLISM Historical Perspectives The leading early workers in the field of Drug Metabolism were chemists. Woehler was the pioneer person who identified potential chemical transformations occurring in the body and conducted experiments in dogs [7-8]. He speculated the conversion of benzoic acid to hippuric acid, but his initial experiments in dogs led to the conclusion that only benzoic acid was excreted in the urine. This was due to the fact that hippuric acid was not fully characterized until 1829 by Liebig. Alexander Ure performed the first human metabolism study in 1841, he observed the conversion of benzoic acid to hippuric acid and proposed the use of benzoic acid for the treatment of gout [9]. W.Keller, in Woehler's laboratory provided the confirmation of Ure's experiments. Thus, not only had Keller and Woehler delineated the first biochemical study they unveiled a ready source for new compounds. Since then a lot many novel and innovative works have been conducted in the field of Drug Metabolism. Drug metabolizing enzymes are responsible for degradation of drugs and environmental pollutants to aid their excretion and are important determinants of drug action [10]. Williams (1959) [11] found out that drug metabolism is carried out in two phases: Phase I and Phase II. In the first phase the hydrophobic moieties are converted into more hydrophilic ones by oxidation, reduction, hydrolysis, hydroxylation or deamination reactions, and then the conjugation/synthesis/addition starts in which there can be sulphation, glucuronidation, methylation, acetylation (to name the few) to eliminate the hydrophilic toxic material outside the body. CYTOCHROME P-450 Cytochrome P-450s are the pivot part of the Phase I drug metabolism. It is an unusual carbonmonoxide binding pigment in its reduced state giving rise to absorption maxima of 450nm. The pigment was characterized by Omura & Sato (1964) [12]. Cytochrome P-450 monoxygenase system of enzymes is responsible for the major portion of drug metabolism in humans. They are ubiquitous in nature. Although commonly serving to detoxify xenobiotics, these enzymes are also involved for the activation of the procarcinogens and promutagens in the human body. It is of importance for the lipophilic drugs such as the CNS- active drugs, which generally must be lipophilic to penetrate the blood brain barrier. There are about 215 different families of Pratima Srivastava cytochrome P-450. Bacteria class has 72 families, lower eukaryotes have 29 families, and plants have 50 families and animal kingdom have 67 families. The human liver microsomal cytochrome P-450 (CYP EC 1.14.14.1) has been shown to play a major role in the metabolism of many drugs, some of which exhibit a narrow therapeutic index or a steep dose-pharmacological response profile [13-14]. Among the numerous P450 subtypes, CYP2D6, 3A4/3A5, 1A2, 2E1, 2C9 and 2C19 play important part in genetically determined responses to abroad spectrum of drugs (Fig. 1). Currently, the Cytochrome P450 (CYP) family of enzymes is the subject of much research [15]. The best known of the cytochrome P-450 enzymes is CYP2D6, 4-6% of the total, which plays an important part in the metabolism of betablockers, antidepressants and other drugs [16]. Another important cytochrome P-450 is 3A4, which is involved in the first pass metabolism as well as the systemic clearance of the drugs. Drugs interactions with this isoform have high clinical potential in cardiovascular diseases and cancer as well as the mutation/polymorphism in it can lead to adverse drug reactions [17]. Other cytochrome P-450 subtypes also result in delayed metabolism of certain medicines [18-19]. Slow Nacetyltransferase forms are found in majority of the populations. The metabolism of the drug may take longer than anticipated, thereby increasing the risk and intensity of sideeffects [20]. In case of high metabolic rates the therapeutic effect may be diminished or absent. Metabolic rates depend mainly on cytochrome P-450 and N-acetyltransferase enzymes [21]. Patients may be classified as fast or slow metabolizers [22], depending on the activity levels of these enzymes. Some variants are slow metabolizers while others are ultra-rapid metabolizers. Slow metabolizers may be exposed to the active product for longer than ultra-rapid metabolizers, or have greatly diminished exposure to the active metabolite. Conversely, ultra-rapid metabolizers risk longer exposure to the metabolite and much shorter exposure to the administered medication. Usually drug is inactivated by the P450 [23] and poor metabolizers have higher blood level of drug and enhanced drug toxicity. It can result in loss of action of prodrug or toxicity due to the increase in metabolism of another pathway leading to toxic product as well as can have the important interactions leading to toxic response if combination of drugs metabolized by P450 is used [24]. If the in vitro clearance of a drug is largely (fm> CYP40%) mediated by a single polymorphically expressed or allelic variant form of CYP, it is anticipated that poor metabolizers will be characterized by disparate pharmacokinetics (e.g. elevated plasma AUCs and /or increased T1/2) [25]. In addition, drugs are often metabolized to pharmacologically active metabolites via CYP- mediated oxidations, which implies that the pharmacodynamics of many drugs can be modulated by induction/inhibition of certain CYPs [26]. Approximately 40% of human cytochrome P-450 (CYP) − dependent drug metabolism is carried out by polymorphic enzymes [27-28]. These enzymes are known to show inter-individual and interethnic variation in the activities and are governed mainly by genetic factors [29]. Also, drug metabolism is affected by many external and internal factors some of them include: Drug Metabolism and Individualized Medicine Current Drug Metabolism, 2003, Vol. 4, No. 1 35 Fig. (1). There are a negligible number of drugs, which do not undergo CYP450 dependent biotransformation prior to elimination. age, sex, environment, diet, effect of one drug on another (drug-drug interactions) as well as the genetic makeup of an individual [30]. POLYMORPHISMS IN DRUG METABOLISM/PHARMACOGENETICS/PHARMACOGENOMICS/SNPS Interindividual variations in the drug metabolism are due to the presence of the alterations in the nucleotide sequence of the drug metabolizing enzymes [31] and when these variations are stabilized in generation they are termed as polymorphisms.The N-acetyl transferase (NAT) polymorphism, discovered in the 1950s demonstrated remarkable variability in allele frequency among different ethnic species [32]. A high proportion of slow acetylators is present in populations around the equator, and higher and higher proportions of rapid acetylators as one moves north. Large number of polymorphisms also occurs in GST (glutathione-S-transferase), an enzyme of Phase II drug metabolism involved in detoxification of environmental toxins. The GST null allele has been shown to affect individuals’ susceptibility to various forms of cancer. The presence of combined allele M1 and T1 deficiencies in glutathione-S-transferase genes increases the susceptibility of white patients to tarcrine (an antialzheimer drug) hepatotoxicity [33]. CYP2D6 metabolizes more than 30 or 40 commonly used drugs. This enzyme (debrisoquine hydroxylase) was the first drug-metabolizing enzyme found to be polymorphically expressed. It has >100-fold variability in its function, there are more than 70 variant alleles of CYP2D6. Alteration in the CYP2D6 activity may lead to the decreased first pass metabolism and excretion (metoprolol), decreased metabolism of the drugs, thereby causing the increased retention in the body (perhexilene). The variation in this gene can make some individuals being poor metabolizers (null allele) with impaired degradation and excretion of many drugs like debrisoquine, metoprolol, nortriptyline and propafone and others being very rapid metabolizers. Also during the null variation there is no effect of the opium analgesics on the patients, because they cannot be converted into their active metabolites [34]. 36 Current Drug Metabolism, 2003, Vol. 4, No. 1 CYP2C9 metabolizes the S-enantiomer of warfarin, which is majorily responsible for anticoagulant effect. Therefore, in the CYP2C9 deficient patients, less amount of warfarin is required; the normal dosage of the drug will lead to excessive bleeding in these patients [35]. CYP2C19 also exist in the genetic variant forms. The null allele of this is highly sensitive to the drugs including omeprazole, diazepam, propranolol, mephenytoin, amitriptyline, and hexobarbital. TPMT (thiopurine methyltransferase) is responsible for the metabolism of 6-mepcaptopurine and its pro-drug, azathiopurine into thioguanine nucleotide, which is required for the cytotoxic effect of the formers. TPMT has 8 allelic variants, which exhibit low activity. This effect is associated with more amounts of the drug requirement and hence more toxic side −effects [36]. UGT (UDP-glucuronosyl transferase) helps in the glucuronidation of bilirubin, decreased activity of the UGT1 is linked with the patients of Gilbert syndrome. Toxicity was observed with the antitumor drug Irinotecan in the patients having heterozygous or homozygous genotype for UGT1 [37]. Transporters are important to determine the rate of absorption, distribution and excretion of the drugs. Amongst the transporters P-glycoproteins has been found to exhibit polymorphism. P-glycoprotein is a multidrug resistance efflux pump, any alteration in it is definitely going to affect the occurrence of resistance as well as its therapeutic aspects [38]. Receptors like Beta 2-adrenoceptor, dopamine D3 receptor (toxicity towards dopamine), ryanodine receptor (defect leads to the enhanced rates of Ca2+ release from the sarcoplasmic reticulum during anaesthesia treatment) have been found to possess the polymorphisms [39]. Ion channels responsible for the normal ventricular repolarization are known to exhibit polymorphic characters, resulting in the prolonged QT interval time following administration of sulfamethoxazole-trimethoprim [40]. The study about the genetic behavior of drugs is Pharmacogenetics. Pharmacogenetics may be defined as study of genetically controlled variation in response to xenobiotics [41]. The later includes drugs as well as various environmental chemicals. The variation in drug response can be either pharmacokinetic or pharmacodynamic in nature. Pharmacokinetic variation determines the level of the active substance at the site of its action while pharmacodynamic effect refers to quantitative/qualitative variation in response of the target [42]. Pharmacological and toxicological effects often vary extensively not only in different strains /species but also in a similar strain/species. It may be the result of either only a single amino acid alteration in a protein/enzyme (pharmacogenetics) or involving more than one amino acid in more than one protein/enzyme (pharmacogenomics), controlling the xenobiotic receptor binding/ disposition [43]. Different responses of drug/ exogenous chemicals by different species/ strain serves as a sensitive probe to explore basic/altered mechanism of xenobiotic action. Pratima Srivastava Historical Perspectives It has long been known that the organisms behave differently to the environmental factors and that it is governed basically by the genetical makeup. Also in mid nineteen it was established that the chemicals are excreted in different forms. Garrod (1902) [44] while studying the alcaptonuria in humans hypothesized the connection between the enzymes and the genes. On the basis of this he suggested that the genetic material could play an important role in the biotransformation of chemicals. Pharmacogenetics was evolved in the 1950’s to understand the genetic differences that cause people to metabolize drugs differently. Early pharmacogenetic studies were based on gross ethnic variation. There were three major ethnic groups: the Negroid, Mongoloid and Caucasoid. Ethnicity can be further narrowed to geography, anthropology, language, and race [45]. These studies of populations and incidence were first carried out mainly by chance or just because investigators were curious about how one race compared to another in response to a drug. The collected data showed that this should be a standard part of any drug development process. The first demonstrated pharmacogenetic trait was chemical insensitivity to phenylthiourea (PTU). Individuals with PTU insensitivity could not taste the chemical. It was the first chemical insensitivity shown to be heritable [46]. Another early pharmacogenetic trait shown to have variation by ethnic group was drug-induced hemolysis due to glucose6-phosphate dehydrogenase deficiency [47]. From the 1950s to the present, there has been a rush of new technologies combined with a new genetic approach so that variations could be isolated on a person-to-person level. One of the first genetic level discoveries was population variation of the Nacetyl transferase polymorphism, a polymorphism with a connection to geography [48]. The allelic frequency–the frequency of the gene within that population–of the slow acetylator polymorphism decreases as geographic latitude increases. Friedrich Vogel coined the word Pharmacogenetics [49] and the first book on the subject was published in 1962 [50]. There are more than 150 Pharmacogenetic differences (some of the important ones are mentioned in the table 1), basically due to the alterations in the receptor, enzymes, transporters or channels. With advancement of technology, it is important to evaluate the pharmacogenomic profile of the selected drug(s), such as the antipsychotics, antidepressants and antihypertensives, which require careful dose titration, as well as the drugs having narrow therapeutic index [41]. While pharmacogenetics has to do with individuals’ response to certain drugs, pharmacogenomics is a broader term used to "describe the commercial application of genomic technology in drug development and therapy…[S]cientists will identify or design therapeutic agents that interact with these targets in a way that achieves positive clinical outcome and minimal toxicity [51]." Infact Pharmacogenomics can be regarded as the best blend of combinatorials- chemistry and biology which will sort out the relationship between the genotype and phenotype effects of a pharmacophore on the patient. Adam (2001) has given the essential prerequisites for the development of a Drug Metabolism and Individualized Medicine Table 1. Current Drug Metabolism, 2003, Vol. 4, No. 1 37 Percentage of Incidence of Different Pharmacogenetic Traits in Various Population Groups Pharmacogenetic Traits % of Incidence In African blacks American Blacks American Whites Chinese Eastern eskimos Mediterra nean Japanese Caucasian Asians 1. Phenylthiourea or taste blindness 65 2-23 30 6 40 nd nd nd nd 2. G6PD deficiency 10-15 nd nd nd nd 10-15(nil) nd nd nd 3. Alcohol Sensitivity nd nd nd nd nd nd 15-20 10-15 nd 4. N-acetyltransferase nd 36-42 nd nd nd nd 68 55-60 nd 5. Glutathione-Stransferase null allele 0.31 nd nd nd nd nd nd 0.4-0.5 nd 6. Cyp2D6 5-10 nd nd nd nd nd nd 5-10 1-2 7. Cyp2C19 nd nd nd nd nd nd 10-20 3-15 18-23 8. TPMT null nd nd nd nd nd nd nd 0.3% nd 9. Cyp 3A4 –V nd nd 53 nd nd nd nd 9 nd 10. UGT heterogenous allele nd nd nd nd nd 1-2 nd nd nd 11. Cyp 2C9 deficiency nd nd nd nd nd nd nd 25 nd TPMT: thiopurine methyltransferase. UGT: UDP glucuronosyl transferase. successful pharmacogenomic-model, which includes the definite genotype and phenotype characterization happening in response to the drug treatment (Genetic Signatures) and its use to predict the drug response of an individual [52]. Classification of Pharmacogenomic Phenomenon Pharmacogenomic phenomenon can be classified by combining two criteria: pharmacological and genetic. Genetic point of view: single gene effect (including polymorphisms) and polygenic effects and pharmacological point of view: time − course of drug action (pharmacokinetics) including the influence of biotransformation, and effects of drugs on tissues and organs (pharmacodynamics). The study of pharmacogenetic differences holds the potential to improve therapeutic effectiveness and limit toxicity of available drugs. Pharmacogenetics can provide substantial efficiency in clinical research by facilitating smaller clinical trials in individuals with similar genetic background [53]. The approach of rigorous determination of genotype/phenotype relationships in individual drug responses provide physicians and researchers with the key information that allows them to precisely prescribe or design the right drug, at the right dose, for the right patient. This singular individualized approach to therapeutics is enabled by highthroughput genotyping and provides significant public health benefits to the population at large. Pharmacogenetic conditions are of great practical interest in understanding the causes of large differences among subjects in response to drugs/ environmental chemicals [54]. That explains why research in Pharmacogenetics has become both diverse and complex. Genetic differences can result in considerable variation in the rate at which a given medicine is broken down within a patient’s body [55]. Due to the recent advances made in Pharmacogenomics, it is interesting to explore and define the receptor binding/ drug disposition in terms of pharmacogenetic characterization of individuals. Pharmacogenetic effect can be caused by difference not only in enzymatic conversion rates, but also by interindividual variations in the proteins to which the drugs are targeted (target proteins), or by genetically determined unintended interference with normal physiological processes [56]. As pharmacogenetic knowledge develops, it can be increasingly used for the development of new medicines. This may result, on the one hand, in drugs, that exhibit less variation in their metabolic conversion rates and, on the other, in drugs for which pre-prescription DNA or enzyme testing is desirable. Most recently released drugs have been developed with metabolic variations involving the cytochrome P-450 enzymes in mind [57]. In the years ahead, the number of potential pharmaceutical research topics will grow rapidly because of increasing (pharmaco-) genetic knowledge. Pharmacogenetics provides a perspective on individuality of drug response. The genome in human vary in terms of single base changes or Single nucleotide polymorphisms (SNPs, pronounced “snips) [58]. Such variants are frequent throughout the genome, in the ratio of about one SNP for every 1000 base pairs. Hundreds of thousands of polymorphisms can now be 38 Current Drug Metabolism, 2003, Vol. 4, No. 1 identified and precisely ordered in a high-density SNP map [59]. The SNP consortium is a joint venture of Wellcome Trust with 10 major Pharmaceutical Companies please refer to http:// www.snp.cshl.org. About 300,000 SNPs are expected to be complete by Apr 2002. If in clinical trials only patients having pharmacogenetic efficacy profiles are enrolled, regulatory authorities could consider a significantly enhanced surveillance system with provisional marketing approval for patients with “efficacy” pharmacogenomic profiles [60]. As ADRs are documented, DNA could be extracted for patients with a particular drugrelated adverse event and compared with well-matched patients who took the drug but did not experience the ADR. The abbreviated SNP profile for these ADRs could then be added to the abbreviated SNP profile for knowing new drug’s efficacy [61]. Search of predictive SNPs in genes relies on the promoters (transcription), transcript processing and amino acid coding regions. There must be a comprehensive correlation between the advanced genotypephenotype data as well as the statistical analysis and eresearch of the same to gain important information from the same and to implement them in finding out the adverse drug reactions. Pratima Srivastava Also due to the drug-drug interactions there can be adverse drug reactions; the best example can be the coadministration of Phentermine and Fenfluramine, which result in the development of valvular fibrosis in a small subset of healthy obese women, may be occurrence of polymorphism in a particular gene, thus there was a withdrawal of Fenfluramine from the market. There are myriads of ADRs which can be life threatening too (please refer to table 2). We can already identify gene variants that encode for drug metabolising enzymes, which may affect the effective dose or ADR pattern. These gene variants can be due to the variation in the nucleotide sequences and the reason [69] behind the occurrence of this polymorphism can be 1. Single nucleotide polymorphism or SNP 2. Insertion or deletions in the nucleotide sequence or Indel 3. Random Insertion or deletions in the nucleotide sequence or Tandem indel 4. Amplification/ rearrangement of genes [70]. Amongst these the single nucleotide polymorphism is the most occurring process. ADVERSE DRUG REACTIONS Adverse drug reactions (ADRs) are often unnoticed or well characterized, but then too more than 1 million deaths occurs globally per annum, particularly in the developing countries [62]. Recently ADR has been defined as “an appreciate harmful or unpleasant reaction, resulting from an intervention related to the use of the medicinal products, which predicts hazards from the future administration and warrants prevention or specified treatment or alteration of the dosage regimen or withdrawal of the product” [63]. Adverse events are more likely to be missed in smaller clinical trials and that no safety information will be generated outside the efficacy population, which could present a risk for “off-label” use or in circumstances where the response profile is not used. However, characterization of rare ADRs through conventional clinical trials and current post-marketing surveillance systems based on the voluntary reporting of ADRs following registered and off- label use of medicines already presents a challenge [64]. Pharmacogenetics has the promise of removing much of the uncertainty of the reliability of the drugs. Physicians will be able to use a medicine response profile to predict an individual’s likely response before a medicine is prescribed [65]. Although not immediately obvious, the pharmaceutical industry and the public should also benefit by faster and more efficient clinical trials, more treatments for more patients, reduced costs of drug development, expansion of research to cover more diseases, and improved drug surveillance [66-68]. It is important to mention here that due to lack of prior pharmacogenetic studies six drugs (Redux, Posicor, Duract, Rizulin, Trovan and Lotronex) had been recently postmarketedly withdrawn by the FDA because they produced idiosyncratic drug reactions in interethnic groups. TECHNOLOGIES USED IN PHARMACOGENETIC STUDIES Various technologies have aided the advancement of pharmacogenetics. The major include development of gene and protein sequencers − for determination of the nucleotide and amino acid sequence of genes and proteins respectively. There have been two main strategies used in screening for polymorphism in an individual: phenotyping and genotyping [71]. Phenotyping is an observable biochemical measure. Phenotyping would determine the presence and activity of a particular metabolic enzyme in a tissue biopsy often referred to as functional phenotyping. Metabolic phenotyping measures the level of metabolites in a person after administration of a drug, such as administering caffeine and measuring the concentration of caffeine metabolites in a blood sample. Phenotyping is usually very straightforward, but also more invasive and potentially dangerous, due to the administration of drugs and their resulting side effects. Genotyping determines the specific genetic code of an individual. Genotyping is safer because it can be done on an easily obtainable sample of tissue (cheek swath, blood, etc.) The results, though, are often harder to interpret. Phenotyping gives the end result of pharmacogenetic differences between people, while genotyping gives the root cause of the different responses. There are various technologies being used for genotyping. Cutting edge biotechnological analyses have helped to advance the discovery of new genetic variation that could improve the use of drugs. Genotyping Technologies used in the pharmacogenetical assays include: Drug Metabolism and Individualized Medicine Table 2. Current Drug Metabolism, 2003, Vol. 4, No. 1 39 List of the Known Drugs Causing Adverse Drug Reactions Drugs Adverse Reactions Genetic Trait Involved Primaquine/ Hemolytic Anemia G6PDh Deficiency Methemoglobinemia Methemoglobin reductase Deficiency 5-flurouracil Death Dihydropyrimidine Deficiency CPT-11 Diarrhea Glucuronidation UDPGA Deficiency Propafenone/ Central Nervous Cyp 2D6 poor metabolizers Rhythmol System Affects Warfarin/ Death Cyp 2C9 poor metabolizers Tacrine Liver toxicity, vomiting nausea APOE-4 positive subjects Isoniazid Peripheral Neuropathy Slow Acetylators Dapsone/ Sulphonamides/ Nitrofuratoin Dapsone/ Nitrites/ Barbiturates/ Estrogens/ Alcohol Coumadin Polymerase chain reaction (PCR)/Restriction Fragment Length Polymorphism (RFLP): Amplifies specific nucleotide sequences to measurable levels. Determines genetic variation of an individual, but is often time consuming and cumbersome. Oligonucleotide Ligation Assay (OLA): High throughput screening using short sequences of radioactive or fluorescently labeled DNA that is complementary to specific DNA sequences. DNA Chips: Various cutting edge technologies to either rapidly determine nucleotide sequences (Gene Chips) or determine the global genetic expression or subset thereof of all genes in a tissue or individual (Microarrays). Affymetrix is developing a silicon based gene chip to rapidly determine the sequence of certain important genes (p53, HIV virus, etc.). Microarrays give rapid profile of what genes are being highly expressed and those that are not [72-73]. Single-stranded conformation polymorphism (SSCP): Detects single nucleotide differences between the genes of any two samples. It helps to detect polymorphism that might be linked to certain pharmacogenetic responses. POTENTIAL GAINS / HAZARDS OF PHARMACOGENETICS To understand the potential of Pharmacogenomics, the first step is to acknowledge shortfalls in current drug regulatory systems and the power of pharmacogenetics to meet those shortfalls [74]. Pharmacogenetics is not really about disease diagnosis; instead, it is about drug efficacy and safety, i.e. THE RIGHT DRUG FOR THE RIGHT PATIENT or individualized medicine. A patient’s response to a drug may depend on one or more factors that can vary according to the alleles/genes that an individual carries. These factors include the absorption, distribution, metabolism and elimination profile of drug, drug concentration at the target site and the number and morphology of target receptors. Advances in genetics will lead to profiles that take account of these variable factors. Specific pharmacogenetic profiles, in the form of a medicine response profile, will differentiate those who have a greater chance of responding to a particular medicine. As experience with a medicine accumulates, pharmacogenetic profiles associated with ADRs could also be identified and added to efficacy profiles to create a comprehensive medicine response profile. Pharmacogenetics has the potential to increase the speed and amount of data collected from a clinical trial that can ultimately increase the efficacy of drug treatment. Pharmacogenomics is strengthened much more by the upcoming bioinformatics, which will sort out the relationship between the phenotype and the genotype characters which occur as a result of drug supplementation. Also the upcoming e-research in the global electronic environment is likely to help in great aspect to achieve the goals set by the Pharmacogenomicist. Pharmacogenetic data can aid in the 40 Current Drug Metabolism, 2003, Vol. 4, No. 1 selection of a compound for future clinical development and offer a powerful tool for optimizing therapeutic efficacy. Pharmacogenetics may also help design therapeutic agents targeting specific groups of patients with a set of genotypic characteristics that otherwise would deprive them of a cure; in other words pathway towards individualized medicine, which can be termed as the combined effects of the individual’s molecular and clinical aspect towards a drug. Pharmacogenomics will yield drugs targeted to act at or near the cause of a disease. Genetically defining patient populations will help improve outcomes and genetic prognostics will revolutionize treatment and improve costeffectiveness. Pharmacogenomics is already making an impact in a wide array of disease states and drug therapy; it will eventually become part of standard patient management in selecting and monitoring drug therapy towards Individualized Medicine. However, there are chances of potential risks too from pharmacogenetic research applied through drug therapy. A drug that works wonderfully on 75% of the population could not only be ineffective but extremely harmful to the other 25% of the population. Because of the specificity of pharmacogenetic therapy trials, this drug would have a greater chance of approval through the trial process than a drug tested without taking into account genomic differences. But then the chances for the occurrence of ADRs in 25% of the population will increase to a much greater extent. There should be proper guidelines on the genetics and the drug interaction. The Food and Drug Administration and the European Medicines Evaluation Agency view genetic variation as just one of the many factors that contribute to drug response. FDA may also require pharmacogenetic data pertaining to drug toxicity for a drug with a narrow therapeutic index. The Center for Biologics Evaluation and Research (CBER) states that drugs associated with serious toxicities may be approvable, particularly if indicated for life-threatening disease without existing treatments. Although in practice the drug approval is always carried out on the basis of risk-benefit ratio. Many cancer drugs, for example, are quite toxic, but they are approvable because cancer is a fatal illness with no known cure. But it is certain that the use of pharmacogenetic data will dramatically increase the individualization of drug therapy; therefore, the pharmacist’s role is extremely important. However, it will also have an impact on the health insurance and responsibility towards the higher treatment costs, because now the drug companies would like to fetch the same benefit from the less population. There is also the need to strict policies and procedures to guard against unauthorized disclosure of genetic information. At present it is difficult to analyze the pharmacogenomic profile of the new chemical entity whose metabolic profile is poorly understood. Thus pharmacogenetic research has the potential to subdivide each disease according to genetics, not symptoms. Specific diagnoses may be based on the molecular mechanisms involved rather than clinical presentation. Molecular mechanism differences will subdivide patient Pratima Srivastava groups with common diseases like hypertension, diabetes, and cancer. Health care professionals will use genetic tests to predict how a disease will progress and the therapeutic response to anticipate. Drug development will be based on understanding of molecular pathogenesis. The role of genes in determining disease susceptibility, progression, complications, and response to treatment could all be potentially mapped. CURRENT AND FUTURE APPLICATIONS Pharmacogenetics and its application through pharmacogenomics has broad potential to affect almost every drug treatment schedule. Listed below are just some of the few current and upcoming applications. Cardiology Long QT syndrome is a rare condition in which people have a slower repolarization of the myocardium after depolarization. This rare disorder resulting in various cardiac pathologies is associated with five genes. A mutation in LQT2 affects potassium channels, while a mutation in LQT3 affects sodium channels. Though both mutations result in the same symptom but they have vastly different causes and treatment−requiring a different drug for each mutation. A genetic test for each mutation would be highly valuable since the disease is so rare. This also points to another potential use of pharmacogenetics i.e. identification of potential targets for pharmaceutical development. Another potential application is in the CYP2D6 drug metabolizer enzyme, responsible for metabolizing a large number of cardiac drugs, including beta-blockers. Poor metabolizers have two to three fold higher drug concentrations in their plasma, which can lead to dizziness and contribute to non-compliance, resulting in greater incidence of other side effects and drug-drug interactions. Rhythmol, an antiarrhythmic drug, is also affected by the CYP2D6 genotype. A poor metabolizer will have a higher concentration of the drug in their plasma and low concentration of the active metabolite. Therefore, a poor metabolizer need a higher dosage of this drug, and has a higher rate of nervous system side effects. Another drug might be better for this population subgroup [75]. CYP2C9 enzyme is involved in warfarin metabolism. One percent of the U.S. population is poor metabolizers of warfarin—and thus need only one seventh the normal dose of warfarin. Without identification and proper treatment adjustment, poor metabolizers risk overdose and possibly death [76]. Neurology Alzheimer’s disease is the fourth leading cause of death and costs the United States $93 billion per year in direct and indirect costs. Of the two forms of Alzheimer’s disease, familial and sporadic, the latter has been linked to 85% of all cases worldwide, and 50% of those have been linked to the apolipoprotein gene. Drug Metabolism and Individualized Medicine Apolipoprotein E (ApoE) has been implicated in synaptic remodeling and regeneration and amyloid metabolism, and appears to modify the pathology of Alzheimer’s disease. Every individual has two copies of the ApoE gene. The ApoE isoform 4 (ApoE-4) has been shown to be associated with Alzheimer’s disease. As the number of copies of ApoE4 in an individuals’ two gene complement increase from no copies to one copy and then to two copies, the age of onset of Alzheimer’s disease decreases from above 85 to 75 to 65 years old. ApoE-4 is also distinctly involved in drug treatment for Alzheimer’s disease. Non-ApoE-4 subjects respond well to Tacrine, while ApoE-4 subjects do not. In Alzheimer’s drug treatment trials, the participants are all stratified by ApoE genotype [77]. Current Drug Metabolism, 2003, Vol. 4, No. 1 41 group based on genotype. This could speed up the clinical trial process and drug approval because no longer would a clinical trial be abandoned if a drug showed minimal effectiveness in a large population. Effect in a smaller subset of the trial−−linked to a specific genotype−could yield some salvageable component of the trial and yield valuable therapy for a small population likely to be overlooked in large trials [80]. Pain Management Celebrex, a pain relief drug, acts only on the COX-2 enzyme and not COX-1 enzyme. Provides pain relief without damaging stomach lining. Oncology Environmental Medicine Cancer treatment often involves the use of toxic chemicals to kill all the cancerous cells while trying to harm the least number of healthy cells. Pharmacogenetic research has the potential to isolate specific chemotherapeutic agents that have limited toxic side effects to an individual, but still attack and destroy the cancerous tumor [78]. One example where pharmacogenetics can be applied is in individuals with dihydropyrimidine dehydrogenase (DPD) deficiency. Patients with this rare genetic disorder develop neurotoxicity when treated with common chemotherapy such as 5-fluorouracil. Understanding the relationship between chemotherapy medications and certain genotypes can help isolate the least toxic chemotherapy for each individual. Alcohol, isoniazid, fasting and diabetes induce CYP2E1, several polymorphisms in it are related to different types of cancerous growth. Herceptin is a drug for breast cancer, a monoclonal antibody that inhibits the action of the HER2 gene. Twenty to thirty percent of all breast cancer patients overexpress HER2; these are the patients who will benefit from treatment with this drug. Diagnostic screening tests to determine potential candidates for treatment with Herceptin are under development [79]. Asthma Certain genetic variations may determine who responds to asthma drugs. Recent clinical trials have shown that certain asthmatics do not respond to treatment with investigational agent ABT-761. This drug interferes with the 5-lipoxygenase (ALOX5) pathway. People with the one or two alleles of the mutant genotype have decreased or no response to ABT-761, respectively. About 6% of asthmatics do not carry a wild-type allele at the ALOX5 promoter, raising the issue that while most pharmacogenetics focuses on the gene that codes for a particular enzyme, it is also important to focus on the regions that control expression of proteins. Clinical Trials Pharmacogenetics can be used in analyzing clinical trial data to determine if a drug is more efficacious for a selected As most of the environmental carcinogens are metabolically activated or inactivated by CYP isoforms, profiling an individual genome to predetermine what potential risks one should avoid is very important [81]. Individuals with a certain p53 mutation are highly susceptible to cervical cancer when exposed to human papilloma virus [82]. Depression Metabolism of tricyclic antidepressants has been linked to certain forms of the CYP2D6 enzyme. 5% of people lack CYP2D6 and are "poor metabolizers". These individuals need greater attention to adverse effects and clinical response. American Blacks have a greater percentage of poor metabolizers then American Caucasians. An example of pharmacogenetic applications assistance in drug development and clinical trials is in case of the drug Amonafide. Initial clinical safety trials identified two different safe doses. There were two dosage recommendation of 250 mg/m2 and 400 mg/m2which later finalized to 300 mg/m2. This resulted in patients either receiving too low a dose to be effective or a dose that resulted in withdrawal from the trial. If the patients had been phenotyped or genotyped, two major sub-populations based on NAT2 polymorphisms would have been identified: one group that metabolized the drug well and developed toxic levels of the metabolite, and one group that did not. It was later determined that the population could be phenotyped using caffeine as a metabolic substitute to determine NAT2 phenotype [83]. CONCLUSION We can conclude essence of Pharmacogenomics in the form of the chart as mentioned below. The study of pharmacogenetic differences holds the potential to improve therapeutic effectiveness and limit toxicities of available drugs. Pharmacogenetics can provide substantial efficiency in clinical research by facilitating the 42 Current Drug Metabolism, 2003, Vol. 4, No. 1 Chemistry Pratima Srivastava Pharmacology Biochemistry Pharmacokinetics Drug Metabolism Pharmacogenetics Bioinformatics Pharmacogenomics conduct of smaller clinical trials by targeting groups of patients with similar genetic background. The approach of rigorous determination of genotype/phenotype relationships in individual drug responses will provide physicians and researchers with the key information that allows them to precisely prescribe or design the right drug, at the right dose, for the right patient. This singular individualized approach to therapeutics is enabled by highthroughput genotyping and will provide significant public health benefits to the population at large. Pharmacogenomics is rather in true sense the implementation of the research data from laboratory bench to humankind. It will give clinicians the tool to predetermine the response of pharmacotherapy by looking for specific polymorphisms in the drug metabolizing enzymes. Individualized Medicine (the promise of the revolution in the field of medicine) is thus a combined effect of the person’s molecular and clinical aspect towards a drug. However, prepharmacogenomic studies should be a must for the development of new chemical entities, so that least number of ADRs as well as the postmarketedly withdrawal of the drug comes into picture. Also heed should be paid in relation to metabolite(s) library produced by inter-ethnic variations in drug metabolizing enzymes as well as in vitro and in vivo correlation of the pharmacokinetic/ pharmacogenomic vis-a –vis different genetically engineered cell-lines and human. Drug Metabolism and Individualized Medicine Thus, the benefits of the Drug Metabolism +Genetics (Pharmacogenomics), which are in the pipeline of modern era of drug discovery and develoment, will be something called INDIVIDUALIZED MEDICINE. ACKNOWLEDGEMENTS The author is thankful to Drs. C.M. Gupta, Director, R.C. Gupta, Dy. Director and V.C. Pandey, ex Dy Director. Central Drug Research Institute, Lucknow, India for their encouragement in writing the review. REFERENCES Current Drug Metabolism, 2003, Vol. 4, No. 1 43 [23] Wrighton, S.A., Vandenbranden, M., Stevens, J.C., Shipley, L.A., Ring, B.J., Rettie, A.E. and Cashman, J.R. (1993). Drug Metab. Rev., 25, 453-484. [24] Rendic, S. and Di carlo, F.J. (1997) Drug Metab. Rev., 29, 413-580. [25] Thummel, K.E., Kunze, K.L. and Shen, D.D. (1997) Adv. Drug Delivery Rev., 27, 99-127 [26] Newton, D.J., Wang, R.W. and Lu, A.Y.H. (1995) Drug Metab. Dispos., 23, 154-158. [27] Koppanyi, T. and Avery, M. (1966). Clin. Pharmacol. Therap., 7, 250-267. [28] Rodrigues, A.D. (1997) Pharm. Res., 14, 1504-1510. [1] The International SNP Map Working Group (2001) Nature, 409, 860-921. [29] Ingel Sundberg, M.,Oscaron,M. and McLellan, R.A. (1999) Trends Pharmacol. Sci., 20, 342-349. [2] Lazarou, J., Pomeranz, B.H., and Corey P.N. (1998). JAMA, 279, 1200-1205. [30] Meyer, U. and Zanger, U.M. (1997) Ann. Rev. Pharmacol. Toxicol., 37, 269-296. [3] Venning, G. (1983) British Medical Journal, 286, 199-206. [31] Touw, D.J. (1997) Drug Metab. Drug Interact., 14, 55-82. [4] Nebert, D.W. (1997) Am. J. Hum. Genetics, 60, 265-271. [32] [5] Beutler, E. (1991) New England J. Medicine, 324, 169-174 Delomenie, C., Sica, L., Grant, D.M., Krishnamoorthy,R. and Dupret, J.M. (1996) Pharmacogenetics, 6, 177-185. [6] http://www.pharmabiz.com/achieves and F.D.C. reports. [33] [7] Liebeg, J. (1842) Ann. Chem. Pharm., 44, 345 Simon, T., Becquemont, L., Mary-Krause, M., de Waziers, I., Beaune, P., Funck-Brentano, C. and Jaillon, P. (2000) Clin. Pharmacol. Ther., 67, 432-437. [8] Wohler, F. (1824) Tiedemann’s Z. Physiol., 1 ,142. [34] [9] Ure, A. (1841) Phar. J. Transact., 1,346. Eichelbaum, M. and Gross, A.S. (1990) Pharmacol. Ther., 46, 377-394. [10] Lu, A.Y.H. (1998) Drug Metab. and Dis., 26, 1217-1222. [35] [11] Williams, R.T. (1959) Detoxication Mechanisms. Publishers John Wiley & Sons Inc. N.Y. Freeman, B.D., Reaume, A.G., Swanson,P.E., Epstein, C.J., Carlson, E.J., Buckman, T.G., Karle,I.E. and Hotchkiss, R.S. (2000) Crit. Care Med., 28, 1701-1708. [36] Elion, G.B. (1989) Science, 244, 41-47. [12] Omura, T. and Sato, R. (1964) J. Biol. Chem., 239, 2370. [37] [13] Rendic, S. and Di Carlo, F.J. (1997) Drug Metab. Rev., 29, 413-580. Innocenti, F. and Ratain, M.J. (2002) Eur. J. Cancer, 68, 639-644. [38] [14] Spatzenegger, M. and Jaeger, W. (1995) Drug Metab. Rev., 27, 397-417. Hoffmeyer, S., Burk, O., von Richter, O., Arnold, H.P., Brockmoller, J., Johne, A., Cascorbi, I., Gerloff, T., Roots, I., Eichelbaum, M. and Brinkmann, U. (2000) Proc. Natl. Acad. Sci. USA, 97, 3473-3478. [15] Weatherall, M. (1982) Nature, 296, 387-390. [39] [16] Tucker, G.T. (1992) Int. J. Clin. Pharmacy. Ther. Toxicol., 30, 550-553. Mccarthy, T.V., Quane, K.A. and Lynch, P.J. (2000) Hum. Mutat., 15, 410-417. [40] [17] Brockton, N., Little, J., Sharp, L. and Cotton, S.C. (2000) Am. J. Epidemiol., 151, 846-861. Knowles, S.R., Uetrecht, J., Shear, N.H. (2000) Lancet, 356, 1587-1591. [41] [18] Parkinson, A. (1996) Toxicol. Pathol., 24, 45-57. Vesell, E.S. (1997) Annals of Internal Medicine, 126, 653655. [19] Lamba, V., Lamba, J.K., Dilwari, J.B. and Kohli, K.K. (1998) Eur. J. Clin. Pharmacol., 54, 787-791. [42] [20] Rebbeck, T.R., Jaffe, J.M., Walker, A.H., Wein, A.J. and Malkowicz, S.B. (1998) J. Natl. Cancer Inst., 90, 12251229. Obach, R.S., Baxter, J.G., Liston, T.E., Silber, B.M., Jones, B.C., MacIntyre, F., Rance, D.J. and Wastall, P., (1997) J. Pharmacol. Exp. Ther., 283, 46-58. [43] Evans, D.A.P. Genetic factors in drug therapy. In: Clinical and Molecular Pharmacogenetics. Cambridge: Cambridge University Press; 1993. [44] Garrod, A.E .(1902) Lancet, ii, 1616-1620. [45] Shimada, T., Yamazka, H., Mimura, M., Inui, Y. and Guengerich, F.P. (1994) J. Pharmacol. Exp. Ther., 270, 414-423. [21] [22] Ruas, J.L. and Lechner, M.C. (1997) Pharmacogenetics, 7, 333-335. Nasu, K., Kubota, T. and Ishizaki, T. (1997) Pharmacogenetics, 7, 405-409. 44 Current Drug Metabolism, 2003, Vol. 4, No. 1 [46] Hall, M.J., Bortoshuk, L.M., Cain, W.S. and Stevens, J.C. (1975) Nature, 253, 442-443. [47] Pratima Srivastava [65] Keller, D.F. (1970) CRC Crit. Rev. Clin. Lab. Sci., 2, 247302. Rawlins, M.D. and Thompson, J.W. (1991) Mechanisms of Adverse Drug Reactions. In Textbook of Adverse Drug Reactions (Davies, D.M. ed.) pp18-45, Oxford Press. [66] Einarson, T.R. (1993) Ann. Pharmacother., 27, 882-840. [48] Price-Evans, D.A. (1989) Pharmacol. Ther., 42, 157-234. [67] Marshall, A. (1997) Nat. Biotechnology, 15, 1249-1252. [49] Vogel, F. (1959) Ergib. Inn. Kinderheild, 12, 52-125. [68] Meyer, U.A. (2000) Lancet, 356, 1667-1671. [50] Kalow, W. (1962) Pharmacogenetics- Heredity and the responses to drugs. W.B. Saunders Company [69] Nebert, D.W. (1997) Am. J. Hum. Genetics, 60, 265-271. [70] [51] Bailey, D.S., Bondar, A. and Furness, L.M. (1998) Current opinion in Biotechnology, 9, 595-601. Nebert, D.W. and Bingham, E. (2001) Trends in Biotechnology, 19, 519-523. [71] Gonzales, F.J. (1994) Clin. Pharmacokinetics, 26,59-70. [52] Adam, G.I. (2001) Current Opinion Drug discovery Development, 4, 296-300. [72] [53] Lamba, V., Dhiman, R.K. and Kohli, K.K. (2000) Clin. Pharmacol. Ther., 68, 328-335. Cho, R.J., FromontRacine, M., Wodicka, L., Feierbach, B., Stearns, T., Legrain, P., Lockhart, D.J. and Davis, R.W. (1998) Proc. Natl.Acad. Sci. (USA), 95, 3752-3757. [73] [54] Nebert, D.W. (2000) Eur. J. Pharmacol., 410, 107-120. Marshall, A. and Hodgson, J. (1998) Nat. Biotechnology, 16, 23-31. [55] Doshi, B.S., Kulkarni, R.D. and Chauhan, B.L. (1990) Br. J. Clin. Pharmacol., 30, 779-783. [74] Nebert, D.W. (1997) Pharmacogenetics, 7, 435-440. [75] [56] Kleyn, P.W.and Vesell, E.S. (1998) Science, 281, 18201821. Flockhart, D. (1998) Pharmacogenetics in Cardiology: Pharmacogenetic in patient care conference by AACC on Nov 6. [57] Evans, W.E. (1993) Science, 286, 487-491. [76] [58] Marshall, E. (1999) Science, 284, 406-407. Taube, J., Halsall, D. and Baglin, T. (2000) Blood, 96, 8161819. [59] The International SNP Map Working Group (2001) Nature, 409, 928-933. [77] Lai, E., Riley, J., Purvis, I, Roses, A. (1998) Genomics, 54, 31-38. [60] Pfrost, D.R., Boyce-Jacino, M.T. and Grant, D.M. (2000) TIBTECH, 18, 334-338. [78] Goldenberg, M.M. (1999) Clin. Therapeutics, 21, 309-318. [79] Baselge, J., Norton, L., Albanell, J., Kim, Y.M.and Mendelsohn, J. (1998) Cancer Res., 58, 2825-2831. [80] Rodrigues, A.D. and Roberts, E.M. (1997) Drug Metab. Dispos., 25, 651-655. [81] Guengerich, F. (1998) Environment Health Perspect., 106, 365-368. [82] Motulsky, A.G. (1978) Human Genetics Supplement, 1,1 [83] Dahl, A.K. and Bertilsson, L. (1993) Pharmacogenetics, 3, 61-70. [61] Sadee, W. (1998) Pharm. Res., 15, 959-963. [62] Aronson, J.K., Derry, S. and Loke, Y.K. (2002) Fundam. Clin. Pharmacol., 16, 49-56. [63] Edwards, I.R and Aronson, J.K. (2000) Lancet, 356, 12551259. [64] Pirmohamed, P. and Park, B.K. (2001) Trends in Pharmacological Sciences, 22, 298-305.