Drug-induced cholestasis (DIC) predictions based on in vitro inhibition of major bile acid clearance mechanisms.

IF 4.8 2区 医学 Q1 TOXICOLOGY Archives of Toxicology Pub Date : 2024-11-14 DOI:10.1007/s00204-024-03895-z
Vlasia Kastrinou-Lampou, Raquel Rodríguez-Pérez, Birk Poller, Felix Huth, Heiko S Schadt, Gerd A Kullak-Ublick, Michael Arand, Gian Camenisch
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Abstract

Drug-induced cholestasis (DIC) is recognized as a major safety concern in drug development, as it represents one of the three types of drug-induced liver injury (DILI). Cholestasis is characterized by the disruption of bile flow, leading to intrahepatic accumulation of toxic bile acids. Bile acid regulation is a multifarious process, orchestrated by several hepatic mechanisms, namely sinusoidal uptake and efflux, canalicular secretion and intracellular metabolism. In the present study, we developed a prediction model of DIC using in vitro inhibition data for 47 marketed drugs on nine transporters and five enzymes known to regulate bile acid homeostasis. The resulting model was able to distinguish between drugs with or without DILI concern (p-value = 0.039) and demonstrated a satisfactory predictive performance, with the area under the precision-recall curve (PR AUC) measured at 0.91. Furthermore, we simplified the model considering only two processes, namely reversible inhibition of OATP1B1 and time-dependent inhibition of CYP3A4, which provided an enhanced performance (PR AUC = 0.95). Our study supports literature findings suggesting a contribution not only from a single process inhibition, but a rather synergistic effect of the key bile acid clearance processes in the development of cholestasis. The use of a quantitative model in the preclinical investigations of DIC is expected to reduce attrition rate in advanced development programs and guide the discovery and development of safe medicines.

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根据体外对主要胆汁酸清除机制的抑制作用预测药物诱导胆汁淤积症(DIC)。
药物诱导胆汁淤积症(DIC)是药物开发中的一个主要安全问题,因为它是三种药物诱导肝损伤(DILI)之一。胆汁淤积症的特点是胆汁流动受阻,导致有毒胆汁酸在肝内蓄积。胆汁酸的调节是一个多元过程,由几种肝脏机制协调,即窦状吸收和流出、管状分泌和细胞内代谢。在本研究中,我们利用 47 种已上市药物对已知调节胆汁酸平衡的九种转运体和五种酶的体外抑制数据,建立了一个 DIC 预测模型。所建立的模型能够区分是否存在 DILI 问题的药物(p 值 = 0.039),并显示出令人满意的预测性能,精确-召回曲线下面积(PR AUC)为 0.91。此外,我们简化了模型,只考虑了两个过程,即 OATP1B1 的可逆抑制和 CYP3A4 的时间依赖性抑制,从而提高了预测效果(PR AUC = 0.95)。我们的研究支持文献中的结论,即胆汁淤积症的发生不仅与单一过程的抑制有关,还与关键胆汁酸清除过程的协同作用有关。在 DIC 临床前研究中使用定量模型有望降低高级开发项目的损耗率,并指导安全药物的发现和开发。
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来源期刊
Archives of Toxicology
Archives of Toxicology 医学-毒理学
CiteScore
11.60
自引率
4.90%
发文量
218
审稿时长
1.5 months
期刊介绍: Archives of Toxicology provides up-to-date information on the latest advances in toxicology. The journal places particular emphasis on studies relating to defined effects of chemicals and mechanisms of toxicity, including toxic activities at the molecular level, in humans and experimental animals. Coverage includes new insights into analysis and toxicokinetics and into forensic toxicology. Review articles of general interest to toxicologists are an additional important feature of the journal.
期刊最新文献
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