103 research outputs found

    Obesity Alters Endoxifen Plasma Levels in Young Breast Cancer Patients: A Pharmacometric Simulation Approach

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    Endoxifen is the most important metabolite of the prodrug tamoxifen. High interindividual variability in endoxifen steady-state concentrations (CSS,min ENDX) is observed under tamoxifen standard dosing breast cancer patients that do not reach endoxifen concentrations above a proposed therapeutic threshold of 5.97 ng/mL may be at higher recurrence risk. In this investigation, 10 clinical tamoxifen studies were pooled (nPatients=1388) to investigate influential factors on CSS,min ENDX using nonlinear mixed-effects modelling. Age and body weight were found to significantly impact CSS,min ENDX in addition to CYP2D6 phenotype. Compared to post-menopausal patients, pre-menopausal patients had a 30% higher risk for subtarget CSS,min ENDX at tamoxifen 20 mg per day. In treatment simulations for distinct patient subpopulations, young overweight patients had a 3.1-13.8-fold higher risk for subtarget CSS,min ENDX compared to elderly low-weight patients. Considering ever-rising obesity rates and the clinical importance of tamoxifen for pre-menopausal patients, this subpopulation may benefit most from individualised tamoxifen dosing

    Metabolic profiling of HepG2 cells incubated with S(−) and R(+) enantiomers of anti-coagulating drug warfarin

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    Warfarin is a commonly prescribed oral anticoagulant with narrow therapeutic index. It achieves anti-coagulating effects by interfering with the vitamin K cycle. Warfarin has two enantiomers, S(−) and R(+) and undergoes stereoselective metabolism, with the S(−) enantiomer being more effective. We reported the intracellular metabolic profile in HepG2 cells incubated with S(−) and R(+) warfarin by GCMS. Chemometric method PCA was applied to analyze the individual samples. A total of 80 metabolites which belong to different categories were identified. Two batches of experiments (with and without the presence of vitamin K) were designed. In samples incubated with S(−) and R(+) warfarin, glucuronic acid showed significantly decreased in cells incubated with R(+) warfarin but not in those incubated with S(−) warfarin. It may partially explain the lower bio-activity of R(+) warfarin. And arachidonic acid showed increased in cells incubated with S(−) warfarin but not in those incubated with R(+) warfarin. In addition, a number of small molecules involved in γ-glutamyl cycle displayed ratio variations. Intracellular glutathione detection further validated the results. Taken together, our findings provided molecular evidence on a comprehensive metabolic profile on warfarin-cell interaction which may shed new lights on future improvement of warfarin therapy

    Genetic polymorphisms in MDR1, CYP3A4 and CYP3A5 genes in a Ghanaian population: a plausible explanation for altered metabolism of ivermectin in humans?

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    <p>Abstract</p> <p>Background</p> <p>Ivermectin, a substrate of multidrug resistance (MDR1) gene and cytochrome P450 (CYP) 3A4, has been used successfully in the treatment of onchocerciasis in Ghana. However, there have been reports of suboptimal response in some patients after repeated treatment. Polymorphisms in host MDR1 and CYP3A genes may explain the observed suboptimal response to ivermectin. We genotyped relevant functional polymorphisms of MDR1 and CYP3A in a random sample of healthy Ghanaians and compared the data with that of ivermectin-treated patients with a view to exploring the relationship between suboptimal response to ivermectin and MDR1 and CYP3A allelic frequencies.</p> <p>Methods</p> <p>Using PCR-RFLP, relevant polymorphic alleles of MDR1 and CYP3A4 genes were analysed in 204 randomly selected individuals and in 42 ivermectin treated patients.</p> <p>Results</p> <p>We recorded significantly higher MDR1 (3435T) variant allele frequency in suboptimal responders (21%) than in patients who responded to treatment (12%) or the random population sample (11%). <it>CYP3A4*1B</it>, <it>CYP3A5*3 </it>and <it>CYP3A5*6 </it>alleles were detected at varied frequencies for the sampled Ghanaian population, responders and suboptimal responders to ivermectin. <it>CYP3A5*1/CYP3A5*1 </it>and <it>CYP3A5*1/CYP3A5*3 </it>genotypes were also found to be significantly different for responders and suboptimal responders. Haplotype (*1/*1/*3/*1) was determined to be significantly different between responders and suboptimal responders indicating a possible role of these haplotypes in treatment response with ivermectin.</p> <p>Conclusion</p> <p>A profile of pharmacogenetically relevant variants for MDR1, CYP3A4 and CYP3A5 genes has been generated for a random population of 204 Ghanaians to address the scarcity of data within indigenous African populations. In 42 patients treated with ivermectin, difference in MDR1 variant allele frequency was observed between suboptimal responders and responders.</p

    Characterisation of CYP2C8, CYP2C9 and CYP2C19 polymorphisms in a Ghanaian population

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    <p>Abstract</p> <p>Background</p> <p>Genetic influences on drug efficacy and tolerability are now widely known. Pharmacogenetics has thus become an expanding field with great potential for improving drug efficacy and reducing toxicity. Many pharmacologically-relevant polymorphisms do show variability among different populations. Knowledge of allelic frequency distribution within specified populations can be useful in explaining therapeutic failures, identifying potential risk groups for adverse drug reactions (ADRs) and optimising doses for therapeutic efficacy. We sought to determine the prevalence of clinically relevant Cytochrome P450 (<it>CYP) 2C8</it>, <it>CYP2C9</it>, and <it>CYP2C19 </it>variants in Ghanaians. We compared the data with other ethnic groups and further investigated intra country differences within the Ghanaian population to determine its value to pharmacogenetics studies.</p> <p>Methods</p> <p>RFLP assays were used to genotype <it>CYP2C8 </it>(<it>*2</it>, <it>*3</it>, <it>*4</it>) variant alleles in 204 unrelated Ghanaians. <it>CYP2C9*2 </it>and <it>CYP2C19 </it>(<it>*2 </it>and <it>*3</it>) variants were determined by single-tube tetra-primer assays while <it>CYP2C9 </it>(<it>*3, *4, *5 </it>and <it>*11</it>) variants were assessed by direct sequencing.</p> <p>Results</p> <p>Allelic frequencies were obtained for <it>CYP2C8*2 </it>(17%), <it>CYP2C8*3 </it>(0%), <it>CYP2C8*4 </it>(0%), <it>CYP2C9*2 </it>(0%), <it>CYP2C9*3 </it>(0%), <it>CYP2C9*4 </it>(0%), <it>CYP2C9</it>*5 (0%), <it>CYP2C9*11 </it>(2%), <it>CYP2C19*2 </it>(6%) and <it>CYP2C19*3 </it>(0%).</p> <p>Conclusion</p> <p>Allele frequency distributions for <it>CYP2C8</it>, <it>CYP2C9 </it>and <it>CYP2C19 </it>among the Ghanaian population are comparable to other African ethnic groups but significantly differ from Caucasian and Asian populations. Variant allele frequencies for <it>CYP2C9 </it>and <it>CYP2C19 </it>are reported for the first time among indigenous Ghanaian population.</p

    Tamoxifen metabolism predicts drug concentrations and outcome in premenopausal patients with early breast cancer

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    Tamoxifen is the standard-of-care treatment for estrogen receptor-positive premenopausal breast cancer. We examined tamoxifen metabolism via blood metabolite concentrations and germline variations of CYP3A5, CYP2C9, CYP2C19 and CYP2D6 in 587 premenopausal patients (Asians, Middle Eastern Arabs, Caucasian-UK; median age 39 years) and clinical outcome in 306 patients. N-desmethyltamoxifen (DM-Tam)/(Z)-endoxifen and CYP2D6 phenotype significantly correlated across ethnicities (R2: 53%, P&lt;10?77). CYP2C19 and CYP2C9 correlated with norendoxifen and (Z)-4-hydroxytamoxifen concentrations, respectively (P&lt;0.001). DM-Tam was influenced by body mass index (P&lt;0.001). Improved distant relapse-free survival (DRFS) was associated with decreasing DM-Tam/(Z)-endoxifen (P=0.036) and increasing CYP2D6 activity score (hazard ratio (HR)=0.62; 95% confidence interval (CI), 0.43–0.91; P=0.013). Low (&lt;14?nM) compared with high (&gt;35?nM) endoxifen concentrations were associated with shorter DRFS (univariate P=0.03; multivariate HR=1.94; 95% CI, 1.04–4.14; P=0.064). Our data indicate that endoxifen formation in premenopausal women depends on CYP2D6 irrespective of ethnicity. Low endoxifen concentration/formation and decreased CYP2D6 activity predict shorter DRFS

    Clinical significance of thiopurine S-methyltransferase gene polymorphisms

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    Thiopurine methyltransferase (TPMT) is an important enzyme that catalyzes the S-methylation of a series of thiopurine drugs, including 6-mercaptopurine (6-MP), thioguanine and azathiopurine (AZA), to generate inactive methylated metabolites. Thiopurine drugs are widely used to treat malignancies such as acute lymphoblastic leukemia, autoimmune diseases (e.g. inflammatory bowel disease and rheumatoid arthritis), and organ transplant rejection. TPMT activity and TPMT gene exhibit marked polymorphic phenomenon among all ethnic populations studied, though ethnic differences are always observed. To date, a number of TPMT alleles have been identified. The three major alleles of TPMT, namely TPMT *2, *3A and *3C, lead to intermediate and low enzyme activity in 80-95% carriers. Almost all alleles of TPMT result from single nucleotide polymorphisms (SNPs). Patients with very low levels of TPMT activity due to genetic mutation suffer from greatly increased risk for thiopurine-induced toxicity such as myelosuppression when treated with standard doses of thiopurine drugs, while subjects with very high activity may be under-treated. Drug interactions, less frequently observed, may occur due to TMPT induction or inhibition when thiopurine drugs are combined with other agents. It is important to identify the TPMT mutant alleles with functional impact and the clinical relevance to thiopurine therapy. This allows us to avoid severe toxicity and improve therapeutic outcome by tailoring dosage and regimens in individual patients

    Pharmacogenetics and its relevance to clinical practice

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    Annals of the Academy of Medicine Singapore429429-431AAMS

    An interethnic comparison of polymorphisms of the genes encoding drug-metabolizing enzymes and drug transporters: Experience in Singapore

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    10.1081/DMR-200028805Drug Metabolism Reviews372327-378DMTR

    Pharmacogenetics of oxazaphosphorines and its clinical implications

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    The oxazaphosphorines including cyclophosphamide and ifosfamide represent an important group of drugs because of their wide use as antitumor and immuno-modulating agents. This review highlights the effects of polymorphisms of genes involved in the action, distribution, metabolism, and transport of oxazaphosphorines on their pharmacokinetic variability and therapeutic outcomes. Emerging data indicate that polymorphisms of genes encoding cytochrome P450 (CYP) enzymes (CYP3A4, CYP2B6, and CYP2C9), aldehyde dehydrogenases (ALDH1A1, ALDH3A1), glutathione S-transferases (GSTT1, GSTM1, GSTP1), multidrug resistance-associated proteins (ABCC1 and ABCC2), and methylgua-nine-DNA methyltransferase (MGMT) play an important role in the wide interindividual pharmacokinetic variability and altered clinical outcome of oxazaphosphorine chemotherapy. For example, CYP2B6*5 (C1459T giving rise to an Arg487Cys substitution) and CYP2C19*2 (C430T) are associated with altered response, toxicity, and survival in patients with proliferative lupus nephritis when treated with pulse cyclophosphamide regimens. In paediatric patients with corticosteroid-sensitive nephrotic syndrome, treatment with cyclophosphamide in patients with a GSTM1 null polymorphism gave a significantly higher rate of sustained remission than in patients with the heterozygous or homozygous GSTM1 wildtype. Preliminary preclinical and clinical studies indicate that a number of genetic polimorphisms can affect the disposition and action of oxazaphosphorines, causing large interpatient variability in their pharmacokineties, response rate and toxicity. A full identification of the role of these genetic polymorphisms would allow the identification of useful and novel strategies to overcome the resistance and toxicity of oxazaphosphorines and to design optimal therapeutic regimens
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