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药物亲脂性及代谢程度与药物性肝损伤的关联

Associations of Drug Lipophilicity and Extent of Metabolism with Drug-Induced Liver Injury.

作者信息

McEuen Kristin, Borlak Jürgen, Tong Weida, Chen Minjun

机构信息

Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR 72079, USA.

Department of Information Science, University of Arkansas at Little Rock, Little Rock, AR 72204, USA.

出版信息

Int J Mol Sci. 2017 Jun 22;18(7):1335. doi: 10.3390/ijms18071335.

Abstract

Drug-induced liver injury (DILI), although rare, is a frequent cause of adverse drug reactions resulting in warnings and withdrawals of numerous medications. Despite the research community's best efforts, current testing strategies aimed at identifying hepatotoxic drugs prior to human trials are not sufficiently powered to predict the complex mechanisms leading to DILI. In our previous studies, we demonstrated lipophilicity and dose to be associated with increased DILI risk and, and in our latest work, we factored reactive metabolites into the algorithm to predict DILI. Given the inconsistency in determining the potential for drugs to cause DILI, the present study comprehensively assesses the relationship between DILI risk and lipophilicity and the extent of metabolism using a large published dataset of 1036 Food and Drug Administration (FDA)-approved drugs by considering five independent DILI annotations. We found that lipophilicity and the extent of metabolism alone were associated with increased risk for DILI. Moreover, when analyzed in combination with high daily dose (≥100 mg), lipophilicity was statistically significantly associated with the risk of DILI across all datasets ( < 0.05). Similarly, the combination of extensive hepatic metabolism (≥50%) and high daily dose (≥100 mg) was also strongly associated with an increased risk of DILI among all datasets analyzed ( < 0.05). Our results suggest that both lipophilicity and the extent of hepatic metabolism can be considered important risk factors for DILI in humans, and that this relationship to DILI risk is much stronger when considered in combination with dose. The proposed paradigm allows the convergence of different published annotations to a more uniform assessment.

摘要

药物性肝损伤(DILI)虽然罕见,但却是导致不良药物反应的常见原因,致使众多药物被警告和撤市。尽管研究界已尽了最大努力,但目前旨在在人体试验前识别肝毒性药物的检测策略,其预测导致DILI的复杂机制的能力仍不足。在我们之前的研究中,我们证明亲脂性和剂量与DILI风险增加相关,并且在我们最新的工作中,我们将反应性代谢物纳入算法以预测DILI。鉴于在确定药物导致DILI的可能性方面存在不一致性,本研究通过考虑五个独立的DILI注释,使用一个包含1036种美国食品药品监督管理局(FDA)批准药物的大型已发表数据集,全面评估了DILI风险与亲脂性和代谢程度之间的关系。我们发现,单独的亲脂性和代谢程度与DILI风险增加相关。此外,当与高日剂量(≥100毫克)联合分析时,亲脂性在所有数据集中与DILI风险在统计学上显著相关(<0.05)。同样,广泛的肝脏代谢(≥50%)和高日剂量(≥100毫克)的组合在所有分析的数据集中也与DILI风险增加密切相关(<0.05)。我们的结果表明,亲脂性和肝脏代谢程度均可被视为人类DILI的重要风险因素,并且当与剂量联合考虑时,这种与DILI风险的关系要强得多。所提出的范式允许将不同的已发表注释汇聚到更统一的评估中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47c9/5535828/3fbdb0d2810e/ijms-18-01335-g001.jpg

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