Literature DB >> 20955723

EU framework 6 project: predictive toxicology (PredTox)--overview and outcome.

Laura Suter1, Susanne Schroeder, Kirstin Meyer, Jean-Charles Gautier, Alexander Amberg, Maria Wendt, Hans Gmuender, Angela Mally, Eric Boitier, Heidrun Ellinger-Ziegelbauer, Katja Matheis, Friedlieb Pfannkuch.   

Abstract

In this publication, we report the outcome of the integrated EU Framework 6 PROJECT: Predictive Toxicology (PredTox), including methodological aspects and overall conclusions. Specific details including data analysis and interpretation are reported in separate articles in this issue. The project, partly funded by the EU, was carried out by a consortium of 15 pharmaceutical companies, 2 SMEs, and 3 universities. The effects of 16 test compounds were characterized using conventional toxicological parameters and "omics" technologies. The three major observed toxicities, liver hypertrophy, bile duct necrosis and/or cholestasis, and kidney proximal tubular damage were analyzed in detail. The combined approach of "omics" and conventional toxicology proved a useful tool for mechanistic investigations and the identification of putative biomarkers. In our hands and in combination with histopathological assessment, target organ transcriptomics was the most prolific approach for the generation of mechanistic hypotheses. Proteomics approaches were relatively time-consuming and required careful standardization. NMR-based metabolomics detected metabolite changes accompanying histopathological findings, providing limited additional mechanistic information. Conversely, targeted metabolite profiling with LC/GC-MS was very useful for the investigation of bile duct necrosis/cholestasis. In general, both proteomics and metabolomics were supportive of other findings. Thus, the outcome of this program indicates that "omics" technologies can help toxicologists to make better informed decisions during exploratory toxicological studies. The data support that hypothesis on mode of action and discovery of putative biomarkers are tangible outcomes of integrated "omics" analysis. Qualification of biomarkers remains challenging, in particular in terms of identification, mechanistic anchoring, appropriate specificity, and sensitivity.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20955723     DOI: 10.1016/j.taap.2010.10.008

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  13 in total

1.  Identification and characterization of adverse effects in 21st century toxicology.

Authors:  Douglas A Keller; Daland R Juberg; Natasha Catlin; William H Farland; Frederick G Hess; Douglas C Wolf; Nancy G Doerrer
Journal:  Toxicol Sci       Date:  2012-01-19       Impact factor: 4.849

Review 2.  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 3.  Gene array studies in HIV-1 infection.

Authors:  Rajeev Mehla; Velpandi Ayyavoo
Journal:  Curr HIV/AIDS Rep       Date:  2012-03       Impact factor: 5.071

4.  Development of a pharmaceutical hepatotoxicity biomarker panel using a discovery to targeted proteomics approach.

Authors:  Ben C Collins; Christine A Miller; Alexandra Sposny; Phillip Hewitt; Martin Wells; William M Gallagher; Stephen R Pennington
Journal:  Mol Cell Proteomics       Date:  2012-04-23       Impact factor: 5.911

5.  Emerging Bioinformatics Methods and Resources in Drug Toxicology.

Authors:  Karine Audouze; Olivier Taboureau
Journal:  Methods Mol Biol       Date:  2022

Review 6.  Proteomics for systems toxicology.

Authors:  Bjoern Titz; Ashraf Elamin; Florian Martin; Thomas Schneider; Sophie Dijon; Nikolai V Ivanov; Julia Hoeng; Manuel C Peitsch
Journal:  Comput Struct Biotechnol J       Date:  2014-08-27       Impact factor: 7.271

7.  Supporting read-across using biological data.

Authors:  Hao Zhu; Mounir Bouhifd; Elizabeth Donley; Laura Egnash; Nicole Kleinstreuer; E Dinant Kroese; Zhichao Liu; Thomas Luechtefeld; Jessica Palmer; David Pamies; Jie Shen; Volker Strauss; Shengde Wu; Thomas Hartung
Journal:  ALTEX       Date:  2016-02-11       Impact factor: 6.043

8.  Characterization of Conserved Toxicogenomic Responses in Chemically Exposed Hepatocytes across Species and Platforms.

Authors:  Nehme El-Hachem; Patrick Grossmann; Alexis Blanchet-Cohen; Alain R Bateman; Nicolas Bouchard; Jacques Archambault; Hugo J W L Aerts; Benjamin Haibe-Kains
Journal:  Environ Health Perspect       Date:  2015-07-14       Impact factor: 9.031

9.  Decreased translation of Dio3 mRNA is associated with drug-induced hepatotoxicity.

Authors:  Kate M Dudek; Laura Suter; Veerle M Darras; Emma L Marczylo; Timothy W Gant
Journal:  Biochem J       Date:  2013-07-01       Impact factor: 3.857

10.  Identification of in vitro and in vivo disconnects using transcriptomic data.

Authors:  Martin Otava; Ziv Shkedy; Willem Talloen; Geert R Verheyen; Adetayo Kasim
Journal:  BMC Genomics       Date:  2015-08-18       Impact factor: 3.969

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