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纵向药代代谢组学预测患者对治疗的反应:药物代谢、毒性和疗效。

Longitudinal pharmacometabonomics for predicting patient responses to therapy: drug metabolism, toxicity and efficacy.

出版信息

Expert Opin Drug Metab Toxicol. 2012 Feb;8(2):135-9. doi: 10.1517/17425255.2012.646987. Epub 2012 Jan 17.

DOI:10.1517/17425255.2012.646987
PMID:22248264
Abstract

Pharmacometabonomics describes the use of metabolic profiling of biofluids, tissues and tissue extracts to predict, prior to dosing, the beneficial and adverse effects of an intervention such as drug administration. The approach not only is analogous to pharmacogenomics but also is sensitive to environmental factors such as the gut microbiome. Recent applications of pharmacometabonomics are presented and the extension to the use of longitudinal sampling is introduced. Clinical and other human applications of pharmacometabonomics are highlighted and possible future clinical applications of pharmacometabonomics and longitudinal pharmacometabonomics are discussed. These include clinical trials of new drugs either at the first-into-man stage or later in Phase II and III trials, and assessment of individual patients or groups of patients for particular therapies (personalised and stratified medicine approaches). Since metabonomics approaches are sensitive to both the host genome effects and the gut microbiome, pharmacometabonomics has particular utility for studying the host-microbiome interactions and for assessing new therapies that target the gut bacteria. Since the microbiome also has implications for nutrition and drug pharmacokinetics, such metabolic profiling approaches are likely to of use in such studies. It is anticipated that as metabonomics analytical and statistical technologies continue to develop, more applications will be realised and these should find use in real clinical situations, even monitoring patients in real time.

摘要

药物代谢组学描述了使用生物流体、组织和组织提取物的代谢谱分析,在给药之前预测干预(如药物给药)的有益和不利影响。该方法不仅类似于药物基因组学,而且对环境因素(如肠道微生物组)敏感。本文介绍了药物代谢组学的最新应用,并引入了对纵向采样的扩展。强调了药物代谢组学的临床和其他人类应用,并讨论了药物代谢组学和纵向药物代谢组学的可能未来临床应用。这些包括新药的临床试验,无论是在首次人体阶段还是在 II 期和 III 期试验的后期,以及对特定疗法(个性化和分层医学方法)的个别患者或患者群体的评估。由于代谢组学方法对宿主基因组效应和肠道微生物组都很敏感,因此药物代谢组学特别适用于研究宿主-微生物组相互作用以及评估针对肠道细菌的新疗法。由于微生物组也与营养和药物药代动力学有关,因此这种代谢谱分析方法可能适用于此类研究。随着代谢组学分析和统计技术的不断发展,预计将有更多的应用得到实现,并且这些应用将在实际临床情况下得到应用,甚至可以实时监测患者。

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