Literature DB >> 23395088

A unifying ontology to integrate histological and clinical observations for drug-induced liver injury.

Yuping Wang1, Zhi Lin, Zhichao Liu, Stephen Harris, Reagan Kelly, Jie Zhang, Weigong Ge, Minjun Chen, Jürgen Borlak, Weida Tong.   

Abstract

Drug-induced liver injury (DILI) may present any morphologic characteristic of acute or chronic liver disease with no standardized terminology in place. Defining lexemes of DILI histopathology would allow the development of advanced knowledge discovery and data mining tools for across comparisons of publicly available information. For these purposes, a DILI ontology (DILIo) was developed by using the Unified Medical Language System tool and the standardized terminology of the Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT). The DILIo was entrained on findings of 114 US Food and Drug Administration-approved drugs by extracting all clinically DILI-related histopathologic descriptions for 1082 liver biopsy samples, which were then analyzed using the Unified Medical Language System MetaMap and subsequently mapped to the SNOMED CT. The DILIo provides a standard means to describe and organize liver injury induced by drugs, enabling comparative analysis of drugs within and across histopathologic terms. The analysis showed that flutamide, troglitazone, diclofenac, isoniazid, and tamoxifen were reported to have the most diverse histopathologic observations in liver biopsy. Necrosis, cholestasis, fatty degeneration, fibrosis, infiltrate, and hepatic necrosis were the most frequent terms used as descriptors of histopathologic features of DILI. In conclusion, DILIo entrains different algorithms for an efficient meta-analysis of published findings for an improved understanding of mechanisms and clinical characteristics of DILI.
Copyright © 2013 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23395088     DOI: 10.1016/j.ajpath.2012.12.033

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  8 in total

Review 1.  Ontologies for Liver Diseases Representation: A Systematic Literature Review.

Authors:  Rim Messaoudi; Achraf Mtibaa; Antoine Vacavant; Faïez Gargouri; Faouzi Jaziri
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2.  Ontology-based systematical representation and drug class effect analysis of package insert-reported adverse events associated with cardiovascular drugs used in China.

Authors:  Liwei Wang; Mei Li; Jiangan Xie; Yuying Cao; Hongfang Liu; Yongqun He
Journal:  Sci Rep       Date:  2017-10-23       Impact factor: 4.379

3.  Role of nonalcoholic fatty liver disease as risk factor for drug-induced hepatotoxicity.

Authors:  Julie Massart; Karima Begriche; Caroline Moreau; Bernard Fromenty
Journal:  J Clin Transl Res       Date:  2017-02-12

Review 4.  Mechanism of SARS-CoV-2 Invasion into the Liver and Hepatic Injury in Patients with COVID-19.

Authors:  XiaoTian Zhang; Yanhui Yu; Chao Zhang; Hongrui Wang; Lijuan Zhao; Hua Wang; Yingying Su; Ming Yang
Journal:  Mediterr J Hematol Infect Dis       Date:  2022-01-01       Impact factor: 2.576

Review 5.  Role of endoplasmic reticulum stress in drug-induced toxicity.

Authors:  Fabienne Foufelle; Bernard Fromenty
Journal:  Pharmacol Res Perspect       Date:  2016-02-04

Review 6.  Treatments in Covid-19 patients with pre-existing metabolic dysfunction-associated fatty liver disease: A potential threat for drug-induced liver injury?

Authors:  Pierre-Jean Ferron; Thomas Gicquel; Bruno Mégarbane; Bruno Clément; Bernard Fromenty
Journal:  Biochimie       Date:  2020-09-03       Impact factor: 4.079

7.  The Development of a Database for Herbal and Dietary Supplement Induced Liver Toxicity.

Authors:  Jieqiang Zhu; Ji-Eun Seo; Sanlong Wang; Kristin Ashby; Rodney Ballard; Dianke Yu; Baitang Ning; Rajiv Agarwal; Jürgen Borlak; Weida Tong; Minjun Chen
Journal:  Int J Mol Sci       Date:  2018-09-28       Impact factor: 5.923

8.  Drug-induced hepatic steatosis in absence of severe mitochondrial dysfunction in HepaRG cells: proof of multiple mechanism-based toxicity.

Authors:  Julien Allard; Simon Bucher; Julie Massart; Pierre-Jean Ferron; Dounia Le Guillou; Roxane Loyant; Yoann Daniel; Youenn Launay; Nelly Buron; Karima Begriche; Annie Borgne-Sanchez; Bernard Fromenty
Journal:  Cell Biol Toxicol       Date:  2020-06-14       Impact factor: 6.691

  8 in total

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