NDLI: Evaluation of database-derived pathway development for enabling biomarker discovery for hepatotoxicity.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Hebels, Dennie G. A. Jetten, Marlon J. A. Aerts, Hugo J. W. Herwig, Ralf Theunissen, Daniël H. J. Gaj, Stan Van Delft, Joost H. Kleinjans, Jos C. S.
Description	Country affiliation: Netherlands Author Affiliation: Hebels DG ( Department of Toxicogenomics, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.)
Abstract	Current testing models for predicting drug-induced liver injury are inadequate, as they basically under-report human health risks. We present here an approach towards developing pathways based on hepatotoxicity-associated gene groups derived from two types of publicly accessible hepatotoxicity databases, in order to develop drug-induced liver injury biomarker profiles. One human liver 'omics-based and four text-mining-based databases were explored for hepatotoxicity-associated gene lists. Over-representation analysis of these gene lists with a hepatotoxicant-exposed primary human hepatocytes data set showed that human liver 'omics gene lists performed better than text-mining gene lists and the results of the latter differed strongly between databases. However, both types of databases contained gene lists demonstrating biomarker potential. Visualizing those in pathway format may aid in interpreting the biomolecular background. We conclude that exploiting existing and openly accessible databases in a dedicated manner seems promising in providing venues for translational research in toxicology and biomarker development.
File Format	HTM / HTML
ISSN	17520363
Issue Number	2
Volume Number	8
e-ISSN	17520371
Journal	Biomarkers in Medicine
Language	English
Publisher	Future Science Group
Publisher Date	2014-01-01
Publisher Place	Great Britain (UK)
Access Restriction	Subscribed
Subject Keyword	Discipline Biochemistry Biological Markers Metabolism Drug-induced Liver Injury Diagnosis Pathology Databases, Factual Gene Expression Profiling Humans Liver Toxicogenetics Transcriptome Journal Article Research Support, Non-u.s. Gov't Review
Content Type	Text
Resource Type	Article
Subject	Biochemistry (medical) Drug Discovery Clinical Biochemistry

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