首页> 外文期刊>Alimentary pharmacology & therapeutics. >Novel pharmacogenetic markers for treatment outcome in azathioprine-treated inflammatory bowel disease.
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Novel pharmacogenetic markers for treatment outcome in azathioprine-treated inflammatory bowel disease.

机译:硫唑嘌呤治疗的炎症性肠病治疗效果的新型药物遗传标记。

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BACKGROUND: Azathioprine (AZA) pharmacogenetics are complex and much studied. Genetic polymorphism in TPMT is known to influence treatment outcome. Xanthine oxidase/dehydrogenase (XDH) and aldehyde oxidase (AO) compete with TPMT to inactivate AZA. AIM: To assess whether genetic polymorphism in AOX1, XDH and MOCOS (the product of which activates the essential cofactor for AO and XDH) is associated with AZA treatment outcome in IBD. METHODS: Real-time PCR was conducted for a panel of single nucleotide polymorphism (SNPs) in AOX1, XDH and MOCOS using TaqMan SNP genotyping assays in a prospective cohort of 192 patients receiving AZA for IBD. RESULTS: Single nucleotide polymorphism AOX1 c.3404A > G (Asn1135Ser, rs55754655) predicted lack of AZA response (P = 0.035, OR 2.54, 95%CI 1.06-6.13) and when combined with TPMT activity, this information allowed stratification of a patient's chance of AZA response, ranging from 86% in patients where both markers were favourable to 33% where they were unfavourable (P < 0.0001). We also demonstrated a weak protective effect against adverse drug reactions (ADRs) from SNPs XDH c.837C > T (P = 0.048, OR 0.23, 95% CI 0.05-1.05) and MOCOS c.2107A > C, (P = 0.058 in recessive model, OR 0.64, 95%CI 0.36-1.15), which was stronger where they coincided (P = 0.019). CONCLUSION: These findings have important implications for clinical practice and our understanding of AZA metabolism.
机译:背景:硫唑嘌呤(AZA)的药物遗传学是复杂的,并且已被广泛研究。已知TPMT中的遗传多态性会影响治疗效果。黄嘌呤氧化酶/脱氢酶(XDH)和醛氧化酶(AO)与TPMT竞争使AZA失活。目的:评估AOX1,XDH和MOCOS(其产物激活AO和XDH的必需辅因子)的遗传多态性是否与IBD中AZA治疗的结果相关。方法:采用TaqMan SNP基因分型方法,对192例接受AZA治疗IBD的患者进行实时PCR检测AOX1,XDH和MOCOS中的单核苷酸多态性(SNP)。结果:单核苷酸多态性AOX1 c.3404A> G(Asn1135Ser,rs55754655)预测缺乏AZA反应(P = 0.035,OR 2.54,95%CI 1.06-6.13),当与TPMT活性结合使用时,该信息可对患者进行分层两种指标均良好的患者发生AZA反应的机会范围从86%到不利的33%(P <0.0001)。我们还证明了SNP XDH c.837C> T(P = 0.048,OR 0.23,95%CI 0.05-1.05)和MOCOS c.2107A> C,(P = 0.058 in隐性模型,或0.64,95%CI 0.36-1.15),在它们重合的地方更强(P = 0.019)。结论:这些发现对临床实践和我们对AZA代谢的理解具有重要意义。

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