Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound   Target Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound

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Query: EC:2.1.1.67 (thiopurine methyltransferase)
551 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Polymorphisms have been detected in a variety of xenobiotic-metabolizing enzymes at both the phenotypic and genotypic level. In the case of four enzymes, the cytochrome P450 CYP2D6, glutathione S-transferase mu, N-acetyltransferase 2 and serum cholinesterase, the majority of mutations which give rise to a defective phenotype have now been identified. Another group of enzymes show definite polymorphism at the phenotypic level but the exact genetic mechanisms responsible are not yet clear. These enzymes include the cytochromes P450 CYP1A1, CYP1A2 and a CYP2C form which metabolizes mephenytoin, a flavin-linked monooxygenase (fish-odour syndrome), paraoxonase, UDP-glucuronosyltransferase (Gilbert's syndrome) and thiopurine S-methyltransferase. In the case of a further group of enzymes, there is some evidence for polymorphism at either the phenotypic or genotypic level but this has not been unambiguously demonstrated. Examples of this class include the cytochrome P450 enzymes CYP2A6, CYP2E1, CYP2C9 and CYP3A4, xanthine oxidase, an S-oxidase which metabolizes carbocysteine, epoxide hydrolase, two forms of sulphotransferase and several methyltransferases. The nature of all these polymorphisms and possible polymorphisms is discussed in detail, with particular reference to the effects of this variation on drug metabolism and susceptibility to chemically-induced diseases.
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PMID:Metabolic polymorphisms. 836 90

This brief review discusses the relationship between genetic polymorphism of drug metabolizing enzyme and drug's safety and efficacy. When elimination occurs via a single metabolic pathway, individual differences in metabolic rates can lead to large differences in drug and metabolite concentrations in the blood. Genetic polymorphism leads to subpopulation of patients with decreased, absent or even increased activities of certain reactions (e.g., CYP2C19, CYP2D6, CYP2C9, N-acetyltransferase, thiopurine methyltransferase polymorphism). The consequences of a genetic polymorphism include not only altered kinetics of specific drug substrate but idiosyncratic adverse drug reactions. Having these information will aid in determining dosage of certain medications to the patients with an inherited abnormality of drug metabolizing enzyme. Pharmacogenetics already has influenced therapeutics.
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PMID:[Individualization of drug therapy and pharmacogenetics]. 954 39

The role of drug metabolism in drug discovery (lead compound selection) and the traditional role of identifying the enzymes involved in biotransformation pathways (reaction phenotyping) have both relied heavily on the availability and use of a human liver bank. The assessment of drug metabolizing enzyme activity and variability in a series of individual human livers is essential when characterizing the enzymes involved in metabolic pathways (i.e. correlation analysis). In this regard, a human liver bank of 21 samples (14 males, six females, and one unknown) was characterized with respect to the activity of several important drug metabolizing enzymes. The total CYP450 content of the livers ranged from 0.06 to 0.46 nmol/mg microsomal protein. The fold variations found in specific enzyme contents were as follows: CYP1A2 (3x), CYP2A6 (21x), CYP2C9 (8x), CYP2C19 (175x), CYP2D6 (18x), CYP2E1 (5x), CYP3A4 (18x), FMO (2.5x), UDPGT (4x), NAT (7x), COMT (5x), ST (5x), TPMT (3x), and GST (2.5x). In general, the fold variation of the Phase II enzymes was lower compared with the Phase I enzymes, with the exceptions of CYP1A2, CYP2E1, and FMO. Similar data were reviewed from other established liver banks and compared with regard to the relative variability observed in drug metabolizing capacities found in this study.
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PMID:Characterization of Phase I and Phase II hepatic drug metabolism activities in a panel of human liver preparations. 1035 59

We have developed an allele-specific fluorogenic 5' nuclease chain reaction assay for detecting polymorphisms in the following human drug-metabolizing enzyme genes: CYP2C9 (CYP2C9*2 and *3), CYP2C19 (CYP2C19*2 and *3), CYP2D6 (CYP2D6*4, *10, *14, *18, and *21(C8)), N-acetyltransferase 2 (NAT2*5B, *6A, and *7B), thiopurine methyltransferase (TPMT*3C), and aldehyde dehydrogenase2 (ALDH2*2). This method is a marriage of two emerging technologies, the use of allele-specific amplification primers for target DNA and hybridization of the TaqMan probe. The TaqMan probe is labeled with both a fluorescent reporter dye and a quencher dye. Genotypes are separated according to the different threshold cycles of the wild-type and mutant primers. All assays are performed using a single thermocycling protocol. This genotyping method is rapid and highly sensitive and yields a high throughput. It could be applied toward automated large-scale genotyping.
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PMID:High throughput detection of drug-metabolizing enzyme polymorphisms by allele-specific fluorogenic 5' nuclease chain reaction assay. 1104 Dec 38

Clinically important genetic polymorphisms influencing drug metabolism and drug response have typically been discovered on the basis of phenotypic differences among individuals from different populations. Routine genotyping before drug therapy may enable the identification of responders, nonresponders, or patients at increased risk of toxicity. Automated, high-throughput detecting methods for single-nucleotide polymorphisms (SNPs) are highly desirable in many clinical laboratories. The aim of this study is to develop a high-throughput genotyping method for detecting SNPs influencing drug response in the Japanese population. We have developed three real-time PCR assays for detecting SNPs in the human drug-metabolizing enzymes and drug targets. The assay for simultaneously detecting CYP2A6, CYP2B6, CYP2C9, CYP2C18, CYP2C19, CYP2D6, CYP2E1, CYP3A5, NAT2, TPMT, DPYD, UGT1A1, ALDH2, ADH2, MDR1, CETP, DCP-1, ADRB2, HTR2A, INPP1, SDF1, and mitochondrial DNA polymorphisms takes less than 1.5 h. With the clinical application of NAT2 genotyping, we found statistically significant difference between the incidence of adverse drug reactions (ADRs) and the NAT2 genotype. The incidence of the ADRs was significantly higher in the slow type than the in other two types, as 5 of the 6 patients were of the slowtype, and the other was the intermediatetype, while no patients of the rapidtype has developed any ADRs.
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PMID:[Development of simplified and rapid detection assay for genetic polymorphisms influencing drug response and its clinical applications]. 1213 41

There is increasing information available on the existence of polymorphisms in genes encoding xenobiotic metabolizing enzymes and the functional significance of many of these. In addition to genes long recognized as being polymorphic, such as CYP2D6, CYP2C19 and CYP2C9, there is now information available on the existence of polymorphisms in other cytochrome P450 genes such as CYP2A6, CYP2B6 and CYP2C8. With respect to phase II metabolism, polymorphisms in GSTM1, GSTT1, NAT2 and TPMT are well understood but information is also emerging on other GST polymorphisms and on polymorphisms in the UDP-glucuronosyltransferases and sulfotransferases. The availability of comprehensive information on the occurrence and functional significance of polymorphisms affecting drug metabolism should facilitate their application to pharmacogenomic profiling.
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PMID:Pharmacogenetics of the major polymorphic metabolizing enzymes. 1258 28

It is widely claimed that pharmacogenetics may form the basis of 'personalized medicine'. We sought to determine the current utilization of pharmacogenetic testing for drug metabolizing enzymes (DMEs). The hypothesis was that these tests were rarely performed clinically. Questionnaires were sent to 629 individuals representing laboratories, hospitals and universities throughout Australia and New Zealand. The questionnaires asked which facilities performed pharmacogenetic tests for selected DMEs, and details about the tests, if performed. The overall response rate was 81.1% (510/629); three respondents declined to participate. Clinical genotyping and phenotyping tests for DMEs could be performed by 10 (2.0% of 507) and 18 (3.6%) facilities, respectively. The most frequently performed genetic tests were for thiopurine methyltransferase (approximately 400 times in 2003) and pseudocholinesterase (approximately 250 times). The frequency of phenotyping exceeded genotyping by five- and eight-fold, respectively. One centre performed CYP2D6 phenotyping frequently (approximately 4200 times in 2003) for perhexiline. Genotyping and phenotyping tests for other cytochrome P450 enzymes, N-acetyltransferase-2 and dihydropyrimidine dehydrogenase were effectively never undertaken for clinical purposes. Pharmacogenetic tests for DMEs are currently performed rarely in clinical practice, despite repeated claims that they may benefit patient care. The only tests performed with any regularity in Australasia are for thiopurine methyltransferase and pseudocholinesterase, and CYP2D6 phenotyping in one centre for patients on perhexiline. The low clinical utilization reflects a poor evidence base, unestablished clinical relevance and, in the few cases with the strongest rationale, a slow translation to the clinical setting.
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PMID:Pharmacogenetic testing for drug metabolizing enzymes: is it happening in practice? 1586 39

There is wide variability in the response of individuals to standard doses of drug therapy. This is an important problem in clinical practice, where it can lead to therapeutic failures or adverse drug reactions. Polymorphisms in genes coding for metabolising enzymes and drug transporters can affect drug efficacy and toxicity. Pharmacogenetics aims to identify individuals predisposed to a high risk of toxicity and low response from standard doses of anti-cancer drugs. This review focuses on the clinical significance of polymorphisms in drug-metabolising enzymes (cytochrome P450 [CYP] 2C8, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, dihydropyrimidine dehydrogenase, uridine diphosphate glucuronosyltransferase [UGT] 1A1, glutathione S-transferase, sulfotransferase [SULT] 1A1, N-acetyltransferase [NAT], thiopurine methyltransferase [TPMT]) and drug transporters (P-glycoprotein [multidrug resistance 1], multidrug resistance protein 2 [MRP2], breast cancer resistance protein [BCRP]) in influencing efficacy and toxicity of chemotherapy. The most important example to demonstrate the influence of pharmacogenetics on anti-cancer therapy is TPMT. A decreased activity of TPMT, caused by genetic polymorphisms in the TPMT gene, causes severe toxicity with mercaptopurine. Dosage reduction is necessary for patients with heterozygous or homozygous mutation in this gene. Other polymorphisms showing the influence of pharmacogenetics in the chemotherapeutic treatment of cancer are discussed, such as UGT1A1*28. This polymorphism is associated with an increase in toxicity with irinotecan. Also, polymorphisms in the DPYD gene show a relation with fluorouracil-related toxicity; however, in most cases no clear association has been found for polymorphisms in drug-metabolising enzymes and drug transporters, and pharmacokinetics or pharmacodynamics of anti-cancer drugs. The studies discussed evaluate different regimens and tumour types and show that polymorphisms can have different, sometimes even contradictory, pharmacokinetic and pharmacodynamic effects in different tumours in response to different drugs. The clinical application of pharmacogenetics in cancer treatment will therefore require more detailed information of the different polymorphisms in drug-metabolising enzymes and drug transporters. Larger studies, in different ethnic populations, and extended with haplotype and linkage disequilibrium analysis, will be necessary for each anti-cancer drug separately.
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PMID:Genetic polymorphisms of drug-metabolising enzymes and drug transporters in the chemotherapeutic treatment of cancer. 1650 59

The application of pharmacogenetics holds great promise for individualized therapy. However, it has little clinical reality at present, despite many claims. The main problem is that the evidence base supporting genetic testing before therapy is weak. The pharmacology of the drugs subject to inherited variability in metabolism is often complex. Few have simple or single pathways of elimination. Some have active metabolites or enantiomers with different activities and pathways of elimination. Drug dosing is likely to be influenced only if the aggregate molar activity of all active moieties at the site of action is predictably affected by genotype or phenotype. Variation in drug concentration must be significant enough to provide "signal" over and above normal variation, and there must be a genuine concentration-effect relationship. The therapeutic index of the drug will also influence test utility. After considering all of these factors, the benefits of prospective testing need to be weighed against the costs and against other endpoints of effect. It is not surprising that few drugs satisfy these requirements. Drugs (and enzymes) for which there is a reasonable evidence base supporting genotyping or phenotyping include suxamethonium/mivacurium (butyrylcholinesterase), and azathioprine/6-mercaptopurine (thiopurine methyltransferase). Drugs for which there is a potential case for prospective testing include warfarin (CYP2C9), perhexiline (CYP2D6), and perhaps the proton pump inhibitors (CYP2C19). No other drugs have an evidence base that is sufficient to justify prospective testing at present, although some warrant further evaluation. In this review we summarize the current evidence base for pharmacogenetics in relation to drug-metabolizing enzymes.
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PMID:Pharmacogenetics, drug-metabolizing enzymes, and clinical practice. 1696 50

Individual differences in the effect and side effect of drugs are partly due to genetic factors (genetic polymorphisms). The responsible polymorphisms lie in genes encoding for drug metabolism and transport but also in direct and indirect drug targets. While genetic variants in pharmacokinetic structures exert effects on drug efficacy via the differences in drug exposure, polymorphisms in drug targets can directly affect clinical efficacy and may lead to a broad variation spectrum between inefficacy and severe side effects. However, at present, our knowledge on genetic variants in drug targets is less detailed than the knowledge on pharmacogenetic variability within drug metabolism. A goal of pharmacogenetic diagnostics implemented in clinical practice is to better predict the individual drug effects on the basis of molecular-genetic profiles. Therapy recommendations can be given as dose adjustments, in particular in the case of polymorphisms of drug metabolizing enzymes which will lead to less variable drug concentrations. At present there are few examples of the application of pharmacogenetic tests in Germany in order to improve and individualize drug therapy. The reasons for this are multifold. On the one hand it is due to the limited awareness of pharmacogenetics; on the other hand it may be due to the lack of fast and economical availability of the appropriate laboratory tests. The most important reason, however, may be that most results of pharmacogenetic research are so far not translated into therapeutically usable conclusions and therapy recommendations. Thus, testing for a genotype without concrete consequences for the drug therapy of an individual patient does not make sense. Pharmacogenetic research, thereby, stands in many cases at the threshold to clinical applicability and in many cases, for instance for the genotyping for thiopurine methyltransferase polymorphisms prior to azathioprine therapy or of dihydropyrimidine dehydrogenase polymorphisms prior to treatment with 5-fluorouracil, as well as for diagnostics of CYP2D6 before therapy with certain tricyclic antidepressants and neuroleptics, one would ask already today whether a such drug therapy is still responsible without pharmacogenetic diagnostics.
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PMID:[State of the art of pharmacogenetic diagnostics in drug therapy]. 1701 76


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