Literature DB >> 23665807

Metabolomics in toxicology and preclinical research.

Tzutzuy Ramirez1, Mardas Daneshian, Hennicke Kamp, Frederic Y Bois, Malcolm R Clench, Muireann Coen, Beth Donley, Steven M Fischer, Drew R Ekman, Eric Fabian, Claude Guillou, Joachim Heuer, Helena T Hogberg, Harald Jungnickel, Hector C Keun, Gerhard Krennrich, Eckart Krupp, Andreas Luch, Fozia Noor, Erik Peter, Bjoern Riefke, Mark Seymour, Nigel Skinner, Lena Smirnova, Elwin Verheij, Silvia Wagner, Thomas Hartung, Bennard van Ravenzwaay, Marcel Leist.   

Abstract

Metabolomics, the comprehensive analysis of metabolites in a biological system, provides detailed information about the biochemical/physiological status of a biological system, and about the changes caused by chemicals. Metabolomics analysis is used in many fields, ranging from the analysis of the physiological status of genetically modified organisms in safety science to the evaluation of human health conditions. In toxicology, metabolomics is the -omics discipline that is most closely related to classical knowledge of disturbed biochemical pathways. It allows rapid identification of the potential targets of a hazardous compound. It can give information on target organs and often can help to improve our understanding regarding the mode-of-action of a given compound. Such insights aid the discovery of biomarkers that either indicate pathophysiological conditions or help the monitoring of the efficacy of drug therapies. The first toxicological applications of metabolomics were for mechanistic research, but different ways to use the technology in a regulatory context are being explored. Ideally, further progress in that direction will position the metabolomics approach to address the challenges of toxicology of the 21st century. To address these issues, scientists from academia, industry, and regulatory bodies came together in a workshop to discuss the current status of applied metabolomics and its potential in the safety assessment of compounds. We report here on the conclusions of three working groups addressing questions regarding 1) metabolomics for in vitro studies 2) the appropriate use of metabolomics in systems toxicology, and 3) use of metabolomics in a regulatory context.

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Year:  2013        PMID: 23665807      PMCID: PMC3821217          DOI: 10.14573/altex.2013.2.209

Source DB:  PubMed          Journal:  ALTEX        ISSN: 1868-596X            Impact factor:   6.043


  74 in total

Review 1.  The current status of alternatives to animal testing and predictive toxicology methods using liver microfluidic biochips.

Authors:  Jean Matthieu Prot; Eric Leclerc
Journal:  Ann Biomed Eng       Date:  2011-12-10       Impact factor: 3.934

2.  Metabolomics: a tool for early detection of toxicological effects and an opportunity for biology based grouping of chemicals-from QSAR to QBAR.

Authors:  B van Ravenzwaay; M Herold; H Kamp; M D Kapp; E Fabian; R Looser; G Krennrich; W Mellert; A Prokoudine; V Strauss; T Walk; J Wiemer
Journal:  Mutat Res       Date:  2012-01-26       Impact factor: 2.433

3.  Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data.

Authors:  Ivan Rusyn; Alexander Sedykh; Yen Low; Kathryn Z Guyton; Alexander Tropsha
Journal:  Toxicol Sci       Date:  2012-03-02       Impact factor: 4.849

Review 4.  Isotope labeling experiments in metabolomics and fluxomics.

Authors:  Sebastian Klein; Elmar Heinzle
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2012-03-23

Review 5.  Metabolomics methods for the synthetic biology of secondary metabolism.

Authors:  Quoc-Thai Nguyen; Maria E Merlo; Marnix H Medema; Andris Jankevics; Rainer Breitling; Eriko Takano
Journal:  FEBS Lett       Date:  2012-02-15       Impact factor: 4.124

6.  Systems toxicology.

Authors:  Thomas Hartung; Erwin van Vliet; Joanna Jaworska; Leo Bonilla; Nigel Skinner; Russell Thomas
Journal:  ALTEX       Date:  2012       Impact factor: 6.043

Review 7.  Monitoring oxidative stress biomarkers in the lipidome: is there a roadmap for "human inspection"?

Authors:  H Jungnickel; J Tentschert; A Luch
Journal:  Curr Mol Med       Date:  2012-07-01       Impact factor: 2.222

8.  A testing strategy for the identification of mammalian, systemic endocrine disruptors with particular focus on steroids.

Authors:  Susanne N Kolle; Tzutzuy Ramirez; Hennicke G Kamp; Roland Buesen; Burkhard Flick; Volker Strauss; Bennard van Ravenzwaay
Journal:  Regul Toxicol Pharmacol       Date:  2012-04-24       Impact factor: 3.271

9.  Increased toxicity when fibrates and statins are administered in combination--a metabolomics approach with rats.

Authors:  V Strauss; W Mellert; J Wiemer; E Leibold; H Kamp; T Walk; R Looser; A Prokoudine; E Fabian; G Krennrich; M Herold; B van Ravenzwaay
Journal:  Toxicol Lett       Date:  2012-03-30       Impact factor: 4.372

Review 10.  Compound selection for in vitro modeling of developmental neurotoxicity.

Authors:  Suzanne Kadereit; Bastian Zimmer; Christoph van Thriel; Jan G Hengstler; Marcel Leist
Journal:  Front Biosci (Landmark Ed)       Date:  2012-06-01
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  56 in total

Review 1.  Developmental neurotoxicity - challenges in the 21st century and in vitro opportunities.

Authors:  Lena Smirnova; Helena T Hogberg; Marcel Leist; Thomas Hartung
Journal:  ALTEX       Date:  2014       Impact factor: 6.043

2.  Serum Metabonomics of Mild Acute Pancreatitis.

Authors:  Hongmin Xu; Lei Zhang; Huan Kang; Jiandong Zhang; Jie Liu; Shuye Liu
Journal:  J Clin Lab Anal       Date:  2016-05-12       Impact factor: 2.352

Review 3.  Experimental design and reporting standards for metabolomics studies of mammalian cell lines.

Authors:  Sarah Hayton; Garth L Maker; Ian Mullaney; Robert D Trengove
Journal:  Cell Mol Life Sci       Date:  2017-07-01       Impact factor: 9.261

Review 4.  Mapping the human toxome by systems toxicology.

Authors:  Mounir Bouhifd; Helena T Hogberg; Andre Kleensang; Alexandra Maertens; Liang Zhao; Thomas Hartung
Journal:  Basic Clin Pharmacol Toxicol       Date:  2014-02-15       Impact factor: 4.080

5.  Genome-Scale Model-Based Identification of Metabolite Indicators for Early Detection of Kidney Toxicity.

Authors:  Venkat R Pannala; Kalyan C Vinnakota; Shanea K Estes; Irina Trenary; Tracy P OˈBrien; Richard L Printz; Jason A Papin; Jaques Reifman; Tatsuya Oyama; Masakazu Shiota; Jamey D Young; Anders Wallqvist
Journal:  Toxicol Sci       Date:  2020-02-01       Impact factor: 4.849

6.  In vivo toxicometabolomics reveals multi-organ and urine metabolic changes in mice upon acute exposure to human-relevant doses of 3,4-methylenedioxypyrovalerone (MDPV).

Authors:  Ana Margarida Araújo; Márcia Carvalho; Vera Marisa Costa; José Alberto Duarte; Ricardo Jorge Dinis-Oliveira; Maria de Lourdes Bastos; Paula Guedes de Pinho; Félix Carvalho
Journal:  Arch Toxicol       Date:  2020-11-19       Impact factor: 5.153

Review 7.  A shift in paradigm towards human biology-based systems for cholestatic-liver diseases.

Authors:  Fozia Noor
Journal:  J Physiol       Date:  2015-11-04       Impact factor: 5.182

8.  Evaluation of Multivariate Classification Models for Analyzing NMR Metabolomics Data.

Authors:  Thao Vu; Parker Siemek; Fatema Bhinderwala; Yuhang Xu; Robert Powers
Journal:  J Proteome Res       Date:  2019-08-22       Impact factor: 4.466

Review 9.  Perspectives on In Vitro to In Vivo Extrapolations.

Authors:  Thomas Hartung
Journal:  Appl In Vitro Toxicol       Date:  2018-12-08

10.  Gut Microbiome Critically Impacts PCB-induced Changes in Metabolic Fingerprints and the Hepatic Transcriptome in Mice.

Authors:  Joe Jongpyo Lim; Xueshu Li; Hans-Joachim Lehmler; Dongfang Wang; Haiwei Gu; Julia Yue Cui
Journal:  Toxicol Sci       Date:  2020-09-01       Impact factor: 4.849

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