Levner Daniel, Ewart Lorna
Chief Technology Officer, Emulate Inc, Boston, MA, USA.
Chief Scientific Officer, Emulate Inc, Boston, MA, USA.
Expert Opin Drug Discov. 2023 Jul-Dec;18(12):1313-1320. doi: 10.1080/17460441.2023.2255127. Epub 2023 Sep 12.
Drug-induced liver injury (DILI) is a potentially lethal condition that heavily impacts the pharmaceutical industry, causing approximately 21% of drug withdrawals and 13% of clinical trial failures. Recent evidence suggests that the use of Liver-Chip technology in preclinical safety testing may significantly reduce DILI-related clinical trial failures and withdrawals. However, drug developers and regulators would benefit from guidance on the integration of Liver-Chip data into decision-making processes to facilitate the technology's adoption.
This perspective builds on the findings of the performance assessment of the Emulate Liver-Chip in the context of DILI prediction and introduces two new decision-support frameworks: the first uses the Liver-Chip's quantitative output to elucidate DILI severity and enable more nuanced risk analysis; the second integrates Liver-Chip data with standard animal testing results to help assess whether to progress a candidate drug into clinical trials.
There is now strong evidence that Liver-Chip technology could significantly reduce the incidence of DILI in drug development. As this is a patient safety issue, it is imperative that developers and regulators explore the incorporation of the technology. The frameworks presented enable the integration of the Liver-Chip into various stages of preclinical development in support of safety assessment.
药物性肝损伤(DILI)是一种潜在的致命疾病,对制药行业产生重大影响,导致约21%的药物撤市和13%的临床试验失败。最近的证据表明,在临床前安全性测试中使用肝脏芯片技术可能会显著减少与DILI相关的临床试验失败和撤市情况。然而,药物开发商和监管机构将受益于有关将肝脏芯片数据整合到决策过程中的指导,以促进该技术的采用。
本观点基于在DILI预测背景下对Emulate肝脏芯片性能评估的结果,并引入了两个新的决策支持框架:第一个框架使用肝脏芯片的定量输出结果来阐明DILI的严重程度,并进行更细致入微的风险分析;第二个框架将肝脏芯片数据与标准动物试验结果相结合,以帮助评估是否将候选药物推进到临床试验阶段。
现在有充分的证据表明,肝脏芯片技术可以显著降低药物开发中DILI的发生率。由于这是一个患者安全问题,开发商和监管机构必须探索采用该技术。所提出的框架能够将肝脏芯片整合到临床前开发的各个阶段,以支持安全性评估。