DILIsym: Quantitative systems toxicology impacting drug development

IF 4.6
Paul B. Watkins
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引用次数: 9

Abstract

DILIsym®, a quantitative systems toxicology model developed over the last decade by the drug-induced liver injury (DILI)-sim Initiative, has provided novel insights regarding mechanisms underlying drug-induced liver injury and why animal models sometimes fail to accurately assess the liver safety liability of new drug candidates. For example, DILIsym, but not routine preclinical testing, predicted the human hepatotoxicity of the migraine drugs telcagepant and MK3207 that terminated their clinical development. DILIsym also predicted that the next in-class drug, ubrogepant, would be relatively safe for the liver; this prediction was prospectively confirmed in phase-3 clinical trials leading to FDA approval without liver safety warnings. DILIsym also identifies mechanisms underlying liver toxicity, and this information can identify patient-specific risk factors for drug-induced liver injury including drug–drug interactions and certain disease states, improving risk management and pharmacovigilance. DILIsym provides an example of how increased application of quantitative systems toxicology modeling should lead to more efficient development of new drugs.

DILIsym:影响药物开发的定量系统毒理学
DILIsym®是过去十年来由药物性肝损伤(DILI)-sim倡议开发的定量系统毒理学模型,它提供了关于药物性肝损伤机制的新见解,以及为什么动物模型有时不能准确评估新候选药物的肝脏安全性。例如,DILIsym,而不是常规的临床前测试,预测了偏头痛药物telcagepant和MK3207的人肝毒性,从而终止了它们的临床开发。DILIsym还预测,下一个同类药物ubrogepant对肝脏来说是相对安全的;这一预测在3期临床试验中得到了前瞻性证实,FDA批准了该药物,没有肝脏安全警告。DILIsym还确定了肝毒性的潜在机制,这些信息可以确定药物性肝损伤的患者特异性风险因素,包括药物相互作用和某些疾病状态,从而改善风险管理和药物警戒。DILIsym提供了一个例子,说明如何增加定量系统的应用毒理学建模应该导致更有效的新药开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Current opinion in toxicology
Current opinion in toxicology Toxicology, Biochemistry
CiteScore
8.50
自引率
0.00%
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0
审稿时长
64 days
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