Literature DB >> 28575330

The Utility of Gene Expression Profiling from Tissue Samples to Support Drug Safety Assessments.

Daniel P Stiehl1, Elaine Tritto1, Salah-Dine Chibout1, André Cordier1, Pierre Moulin1.   

Abstract

Originally conceptualized as an integrated approach combining conventional toxicology methods with genome-wide expression profiling, toxicogenomics has promised to provide unequivocal relationships between the molecular changes elicited by a compound or a target pathway and the lesions that appear subsequently in the tissues. However, the discipline has only partially delivered on this promise, and the number of publications and submissions related to toxicogenomics is stagnating. The purpose of this article is to outline key factors contributing to a successful implementation of toxicogenomics in the drug discovery and development process. Paradigms and methods of toxicogenomics are briefly reviewed, and the prominence of biostatistics and its limitations in the particular context of nonclinical toxicology studies are discussed. We present specific approaches for pathophysiological contextualization of gene expression data derived from tissues with lesions at variable incidence and severity: "unmixing" (deconvolution) of molecular expression profiles from complex tissues, the invaluable contribution of reference data, the role of establishing causation between expression signals and pathologic changes (phenotypic anchoring), and especially molecular localization. These approaches compensate for the limitations of biostatistical analysis, which in turn, derive from tissue heterogeneity. Finally, impactful applications of toxicogenomics along the drug discovery and development process are exemplified, from the evaluation of potential target toxicities to the selection of candidate compounds and elucidation of the molecular and cellular mechanisms leading to chronic toxicity.
© The Author 2017. Published by Oxford University Press on behalf of the Institute for Laboratory Animal Research. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  data contextualization; drug development; gene expression profiling; investigative safety sciences; phenotypic anchoring; tissue expression atlas; toxicogenomics; translational safety

Mesh:

Year:  2017        PMID: 28575330     DOI: 10.1093/ilar/ilx016

Source DB:  PubMed          Journal:  ILAR J        ISSN: 1084-2020


  4 in total

Review 1.  Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data.

Authors:  Benjamin Alexander-Dann; Lavinia Lorena Pruteanu; Erin Oerton; Nitin Sharma; Ioana Berindan-Neagoe; Dezső Módos; Andreas Bender
Journal:  Mol Omics       Date:  2018-08-06

2.  A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data.

Authors:  Ran Su; Haitang Yang; Leyi Wei; Siqi Chen; Quan Zou
Journal:  PLoS Comput Biol       Date:  2022-09-07       Impact factor: 4.779

3.  Induction of hemangiosarcoma in mice after chronic treatment with S1P-modulator siponimod and its lack of relevance to rat and human.

Authors:  Francois Pognan; J Andreas Mahl; Maria Papoutsi; David Ledieu; Marc Raccuglia; Diethilde Theil; Sarah B Voytek; Patrick J Devine; Katie Kubek-Luck; Natalie Claudio; Andre Cordier; Annabelle Heier; Carine Kolly; Andreas Hartmann; Salah-Dine Chibout; Page Bouchard; Christian Trendelenburg
Journal:  Arch Toxicol       Date:  2018-03-19       Impact factor: 5.153

4.  Correlating Mass Spectrometry Imaging and Liquid Chromatography-Tandem Mass Spectrometry for Tissue-Based Pharmacokinetic Studies.

Authors:  Andreas Dannhorn; Emine Kazanc; Gregory Hamm; John G Swales; Nicole Strittmatter; Gareth Maglennon; Richard J A Goodwin; Zoltan Takats
Journal:  Metabolites       Date:  2022-03-18
  4 in total

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