Literature DB >> 21624500

FDA-approved drug labeling for the study of drug-induced liver injury.

Minjun Chen1, Vikrant Vijay, Qiang Shi, Zhichao Liu, Hong Fang, Weida Tong.   

Abstract

Drug-induced liver injury (DILI) is a leading cause of drugs failing during clinical trials and being withdrawn from the market. Comparative analysis of drugs based on their DILI potential is an effective approach to discover key DILI mechanisms and risk factors. However, assessing the DILI potential of a drug is a challenge with no existing consensus methods. We proposed a systematic classification scheme using FDA-approved drug labeling to assess the DILI potential of drugs, which yielded a benchmark dataset with 287 drugs representing a wide range of therapeutic categories and daily dosage amounts. The method is transparent and reproducible with a potential to serve as a common practice to study the DILI of marketed drugs for supporting drug discovery and biomarker development. Published by Elsevier Ltd.

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Year:  2011        PMID: 21624500     DOI: 10.1016/j.drudis.2011.05.007

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  101 in total

1.  From the Cover: Three-Dimensional (3D) HepaRG Spheroid Model With Physiologically Relevant Xenobiotic Metabolism Competence and Hepatocyte Functionality for Liver Toxicity Screening.

Authors:  Sreenivasa C Ramaiahgari; Suramya Waidyanatha; Darlene Dixon; Michael J DeVito; Richard S Paules; Stephen S Ferguson
Journal:  Toxicol Sci       Date:  2017-09-01       Impact factor: 4.849

2.  The role of bile salt export pump gene repression in drug-induced cholestatic liver toxicity.

Authors:  Brandy Garzel; Hui Yang; Lei Zhang; Shiew-Mei Huang; James E Polli; Hongbing Wang
Journal:  Drug Metab Dispos       Date:  2013-12-12       Impact factor: 3.922

3.  A testing strategy to predict risk for drug-induced liver injury in humans using high-content screen assays and the 'rule-of-two' model.

Authors:  Minjun Chen; Chun-Wei Tung; Qiang Shi; Lei Guo; Leming Shi; Hong Fang; Jürgen Borlak; Weida Tong
Journal:  Arch Toxicol       Date:  2014-06-11       Impact factor: 5.153

Review 4.  In vitro platforms for evaluating liver toxicity.

Authors:  Shyam Sundhar Bale; Lawrence Vernetti; Nina Senutovitch; Rohit Jindal; Manjunath Hegde; Albert Gough; William J McCarty; Ahmet Bakan; Abhinav Bhushan; Tong Ying Shun; Inna Golberg; Richard DeBiasio; Berk Osman Usta; D Lansing Taylor; Martin L Yarmush
Journal:  Exp Biol Med (Maywood)       Date:  2014-04-24

Review 5.  The Promise of AI for DILI Prediction.

Authors:  Andreu Vall; Yogesh Sabnis; Jiye Shi; Reiner Class; Sepp Hochreiter; Günter Klambauer
Journal:  Front Artif Intell       Date:  2021-04-14

6.  Mechanism-Driven Read-Across of Chemical Hepatotoxicants Based on Chemical Structures and Biological Data.

Authors:  Linlin Zhao; Daniel P Russo; Wenyi Wang; Lauren M Aleksunes; Hao Zhu
Journal:  Toxicol Sci       Date:  2020-04-01       Impact factor: 4.849

Review 7.  Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modeling.

Authors:  Linlin Zhao; Heather L Ciallella; Lauren M Aleksunes; Hao Zhu
Journal:  Drug Discov Today       Date:  2020-07-11       Impact factor: 7.851

8.  Evaluation of DILI Predictive Hypotheses in Early Drug Development.

Authors:  Rosa Chan; Leslie Z Benet
Journal:  Chem Res Toxicol       Date:  2017-03-15       Impact factor: 3.739

9.  Development of HepG2-derived cells expressing cytochrome P450s for assessing metabolism-associated drug-induced liver toxicity.

Authors:  Jiekun Xuan; Si Chen; Baitang Ning; William H Tolleson; Lei Guo
Journal:  Chem Biol Interact       Date:  2015-10-22       Impact factor: 5.192

Review 10.  Drug-Induced Rhabdomyolysis Atlas (DIRA) for idiosyncratic adverse drug reaction management.

Authors:  Zhining Wen; Yu Liang; Yingyi Hao; Brian Delavan; Ruili Huang; Mike Mikailov; Weida Tong; Menglong Li; Zhichao Liu
Journal:  Drug Discov Today       Date:  2018-06-11       Impact factor: 7.851

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