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本文引用的文献

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Isoniazid metabolism and hepatotoxicity.异烟肼代谢与肝毒性。
Acta Pharm Sin B. 2016 Sep;6(5):384-392. doi: 10.1016/j.apsb.2016.07.014. Epub 2016 Aug 3.
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Gut microbiome interactions with drug metabolism, efficacy, and toxicity.肠道微生物群与药物代谢、疗效及毒性的相互作用。
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Chronic Treatment with Isoniazid Causes Protoporphyrin IX Accumulation in Mouse Liver.异烟肼长期治疗导致小鼠肝脏中原卟啉IX蓄积。
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A metabolomics cell-based approach for anticipating and investigating drug-induced liver injury.一种基于代谢组学细胞的方法用于预测和研究药物性肝损伤。
Sci Rep. 2016 Jun 6;6:27239. doi: 10.1038/srep27239.
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The influence of gut microbiota on drug metabolism and toxicity.肠道微生物群对药物代谢和毒性的影响。
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A metabolomic perspective of griseofulvin-induced liver injury in mice.灰黄霉素诱导小鼠肝损伤的代谢组学研究视角
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An analysis of the attrition of drug candidates from four major pharmaceutical companies.对四大制药公司候选药物淘汰的分析。
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8
LC-MS untargeted metabolomic analysis of drug-induced hepatotoxicity in HepG2 cells.HepG2细胞中药物诱导肝毒性的液相色谱-质谱非靶向代谢组学分析
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9
Screening, verification, and optimization of biomarkers for early prediction of cardiotoxicity based on metabolomics.基于代谢组学的心脏毒性早期预测生物标志物的筛选、验证及优化
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10
Drug-induced liver injury: Interactions between drug properties and host factors.药物性肝损伤:药物特性与宿主因素的相互作用。
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代谢组学在药物安全性评价中的机遇

The Opportunities of Metabolomics in Drug Safety Evaluation.

作者信息

Wang Pengcheng, Shehu Amina I, Ma Xiaochao

机构信息

Center for Pharmacogenetics, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, USA.

出版信息

Curr Pharmacol Rep. 2017 Feb;3(1):10-15. doi: 10.1007/s40495-016-0079-5. Epub 2017 Jan 3.

DOI:10.1007/s40495-016-0079-5
PMID:28758057
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5526643/
Abstract

Although safety of drug candidates is carefully monitored in preclinical and clinical studies using a variety of approaches, drug toxicity may still occur in clinical practice. Therefore, novel approaches are needed to complement the current drug safety evaluation system. Metabolomics comprehensively analyzes the metabolites altered by drug exposure, which can therefore be used to profile drug metabolism, endobiotic metabolism, and drug-microbiota interactions. The information from metabolomic analysis can be used to determine the off-targets of a drug candidate, and thus provide a mechanistic understanding of drug toxicity. We herein discuss the opportunities of metabolomics in drug safety evaluation.

摘要

尽管在临床前和临床研究中使用了多种方法对候选药物的安全性进行了仔细监测,但在临床实践中仍可能发生药物毒性。因此,需要新的方法来补充当前的药物安全性评估系统。代谢组学全面分析药物暴露后改变的代谢物,因此可用于描绘药物代谢、内源性代谢和药物-微生物群相互作用。代谢组学分析的信息可用于确定候选药物的脱靶效应,从而提供对药物毒性的机制性理解。我们在此讨论代谢组学在药物安全性评估中的机遇。