Literature DB >> 19720731

Evaluation of the potential for drug-induced liver injury based on in vitro covalent binding to human liver proteins.

Toru Usui1, Masashi Mise, Takanori Hashizume, Masashi Yabuki, Setsuko Komuro.   

Abstract

Prediction of idiosyncratic drug-induced liver injury (DILI) is difficult, and the underlying mechanisms are not fully understood. However, many drugs causing DILI are considered to form reactive metabolites and covalently bind to cellular macromolecules in the liver. The objective of this study was to clarify whether the risk of idiosyncratic DILI can be estimated by comparing in vitro covalent binding (CB) levels among 12 positive compounds (acetaminophen, alpidem, bromfenac, carbamazepine, diclofenac, flutamide, imipramine, nefazodone, tacrine, ticlopidine, tienilic acid, and troglitazone) for DILI and 12 negative compounds (acetylsalicylic acid, caffeine, dexamethasone, losartan, ibuprofen, paroxetine, pioglitazone, rosiglitazone, sertraline, theophylline, venlafaxine, and zolpidem). After incubation with human liver microsomes in the presence of NADPH, there was a large overlap in the distribution of CB amounts between the positive and negative groups. On addition of UDP-glucuronic acid (UDPGA) as a cofactor for glucuronidation, the CB levels of bromfenac and diclofenac were increased. With addition of nucleophilic glutathione (GSH), values for most compounds were decreased. However, separation of the two groups on the basis of CB could not be improved by UDPGA or GSH. Furthermore, CB with human hepatocytes also failed to discriminate positive from negative compounds. Therefore, the CB amount alone is not sufficient for risk assessment of DILI. In contrast, when the CB amount was multiplied by the maximum daily dose, which may reflect maximum hepatic exposure, the two groups did become discriminated. Taken together, our findings suggest that the combination of CB amount and daily dose can estimate the risk of idiosyncratic DILI.

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Year:  2009        PMID: 19720731     DOI: 10.1124/dmd.109.028860

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  13 in total

1.  Prediction of drug-induced liver injury using keratinocytes.

Authors:  Rika Hirashima; Tomoo Itoh; Robert H Tukey; Ryoichi Fujiwara
Journal:  J Appl Toxicol       Date:  2017-01-31       Impact factor: 3.446

2.  Evaluation of the Relevance of DILI Predictive Hypotheses in Early Drug Development: Review of In Vitro Methodologies vs BDDCS Classification.

Authors:  Rosa Chan; Leslie Z Benet
Journal:  Toxicol Res (Camb)       Date:  2018-04-18       Impact factor: 3.524

3.  Identification of protein targets of reactive metabolites of tienilic acid in human hepatocytes.

Authors:  Yakov M Koen; Diganta Sarma; Todd D Williams; Nadezhda A Galeva; R Scott Obach; Robert P Hanzlik
Journal:  Chem Res Toxicol       Date:  2012-04-10       Impact factor: 3.739

4.  Synergistic Cytotoxicity from Drugs and Cytokines In Vitro as an Approach to Classify Drugs According to Their Potential to Cause Idiosyncratic Hepatotoxicity: A Proof-of-Concept Study.

Authors:  Ashley R Maiuri; Bronlyn Wassink; Jonathan D Turkus; Anna B Breier; Theresa Lansdell; Gurpreet Kaur; Sarah L Hession; Patricia E Ganey; Robert A Roth
Journal:  J Pharmacol Exp Ther       Date:  2017-07-07       Impact factor: 4.030

5.  Integrating Drug's Mode of Action into Quantitative Structure-Activity Relationships for Improved Prediction of Drug-Induced Liver Injury.

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Journal:  J Chem Inf Model       Date:  2017-04-10       Impact factor: 4.956

Review 6.  Managing the challenge of chemically reactive metabolites in drug development.

Authors:  B Kevin Park; Alan Boobis; Stephen Clarke; Chris E P Goldring; David Jones; J Gerry Kenna; Craig Lambert; Hugh G Laverty; Dean J Naisbitt; Sidney Nelson; Deborah A Nicoll-Griffith; R Scott Obach; Philip Routledge; Dennis A Smith; Donald J Tweedie; Nico Vermeulen; Dominic P Williams; Ian D Wilson; Thomas A Baillie
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7.  Potential protective effect of sunitinib after administration of diclofenac: biochemical and histopathological drug-drug interaction assessment in a mouse model.

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Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2013-04-05       Impact factor: 3.000

Review 8.  Generating hepatic cell lineages from pluripotent stem cells for drug toxicity screening.

Authors:  Melissa A Baxter; Cliff Rowe; Jane Alder; Sean Harrison; Karen Piper Hanley; B Kevin Park; Neil R Kitteringham; Chris E Goldring; Neil A Hanley
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Review 9.  MicroRNAs in Drug-induced Liver Injury.

Authors:  Li-Min Li; Dong Wang; Ke Zen
Journal:  J Clin Transl Hepatol       Date:  2014-09-15

Review 10.  Key Challenges and Opportunities Associated with the Use of In Vitro Models to Detect Human DILI: Integrated Risk Assessment and Mitigation Plans.

Authors:  Franck A Atienzar; Eric A Blomme; Minjun Chen; Philip Hewitt; J Gerry Kenna; Gilles Labbe; Frederic Moulin; Francois Pognan; Adrian B Roth; Laura Suter-Dick; Okechukwu Ukairo; Richard J Weaver; Yvonne Will; Donna M Dambach
Journal:  Biomed Res Int       Date:  2016-09-05       Impact factor: 3.411

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