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DILI-sim 计划:对肝毒性机制和生物标志物解读的深入了解。

The DILI-sim Initiative: Insights into Hepatotoxicity Mechanisms and Biomarker Interpretation.

机构信息

Institute for Drug Safety Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

出版信息

Clin Transl Sci. 2019 Mar;12(2):122-129. doi: 10.1111/cts.12629.

Abstract

The drug-induced liver injury (DILI)-sim Initiative is a public-private partnership involving scientists from industry, academia, and the US Food and Drug Administration (FDA). The Initiative uses quantitative systems toxicology (QST) to build and refine a model (DILIsym) capable of understanding and predicting liver safety liabilities in new drug candidates and to optimize interpretation of liver safety biomarkers used in clinical studies. Insights gained to date include the observation that most dose-dependent hepatotoxicity can be accounted for by combinations of just three mechanisms (oxidative stress, interference with mitochondrial respiration, and alterations in bile acid homeostasis) and the importance of noncompetitive inhibition of bile acid transporters. The effort has also provided novel insight into species and interpatient differences in susceptibility, structure-activity relationships, and the role of nonimmune mechanisms in delayed idiosyncratic hepatotoxicity. The model is increasingly used to evaluate new drug candidates and several clinical trials are underway that will test the model's ability to prospectively predict liver safety. With more refinement, in the future, it may be possible to use the DILIsym predictions to justify reduction in the size of some clinical trials. The mature model could also potentially assist physicians in managing the liver safety of their patients as well as aid in the diagnosis of DILI.

摘要

药物性肝损伤(DILI)模拟倡议是一个公私合作伙伴关系,涉及来自工业、学术界和美国食品和药物管理局(FDA)的科学家。该倡议利用定量系统毒理学(QST)来构建和完善一个模型(DILIsym),使其能够理解和预测新药候选物的肝安全性风险,并优化用于临床研究的肝安全性生物标志物的解释。迄今为止获得的见解包括观察到大多数剂量依赖性肝毒性可以用三种机制(氧化应激、干扰线粒体呼吸和胆汁酸动态平衡的改变)的组合来解释,以及胆汁酸转运体的非竞争性抑制的重要性。该研究还为种间和个体间易感性、结构-活性关系以及非免疫机制在迟发性特发性肝毒性中的作用提供了新的见解。该模型越来越多地用于评估新药候选物,并且正在进行几项临床试验,以测试该模型预测肝安全性的能力。随着进一步的改进,将来可能可以使用 DILIsym 的预测来证明某些临床试验规模的缩小是合理的。成熟的模型还可能有助于医生管理患者的肝安全性,并有助于 DILI 的诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/690a/6440570/def7e2575a1a/CTS-12-122-g001.jpg

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