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通过机制建模提高对新的和旧的药物性肝损伤血清生物标志物的解读。

Improving Interpretation of New and Old Serum Biomarkers of Drug-Induced Liver Injury Through Mechanistic Modeling.

机构信息

The University of North Carolina at Chapel Hill, Institute for Drug Safety Science, Eshelman School of Pharmacy, Chapel Hill, North Carolina, USA.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2018 Jun;7(6):357-359. doi: 10.1002/psp4.12303. Epub 2018 Apr 26.

Abstract

The study by Mason et al. in this issue used mechanistic modeling and simulation to address how both the dose of acetaminophen consumed and the time since ingestion can be estimated from biomarkers measured in a single serum sample in mice. Translation into the clinic would potentially be an advance in the treatment of acetaminophen poisoning. Importantly, this approach could transform the evaluation of liver safety in clinical trials of new drug candidates.

摘要

梅森等人在本期研究中利用机械建模和模拟来探讨如何根据单次血清样本中测量的生物标志物来估计摄入的对乙酰氨基酚剂量和摄入时间。这种方法如果能应用于临床,将是对乙酰氨基酚中毒治疗的一大进步。重要的是,这种方法可以改变新候选药物临床试验中肝脏安全性的评估。

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