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<publisher>HAL CCSD</publisher>
<title lang=en>Potential input from metabolomics for exploring and understanding the links between environment and health.</title>
<creator>Bonvallot, Nathalie</creator>
<creator>Tremblay-Franco, Marie</creator>
<creator>Chevrier, Cecile</creator>
<creator>Canlet, Cecile</creator>
<creator>Debrauwer, Laurent</creator>
<creator>Cravedi, Jean-Pierre</creator>
<creator>Cordier, Sylvaine</creator>
<contributor>Institut de recherche, santé, environnement et travail [Rennes] (Irset) ; Université d'Angers (UA) - Université des Antilles et de la Guyane (UAG) - Université de Rennes 1 (UR1) - École des Hautes Études en Santé Publique [EHESP] (EHESP) - Institut National de la Santé et de la Recherche Médicale (INSERM) - Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )</contributor>
<contributor>École des Hautes Études en Santé Publique [EHESP] (EHESP)</contributor>
<contributor>ToxAlim (ToxAlim) ; Institut National Polytechnique [Toulouse] (INP) - Institut National de la Recherche Agronomique (INRA) - Université Paul Sabatier - Toulouse 3 (UPS) - Ecole Nationale Vétérinaire de Toulouse</contributor>
<description>International audience</description>
<source>ISSN: 1093-7404</source>
<source>EISSN: 1521-6950</source>
<source>Journal of Toxicology and Environmental Health, Part B: Critical Reviews</source>
<publisher>Taylor & Francis</publisher>
<identifier>hal-00976116</identifier>
<identifier>https://hal-univ-rennes1.archives-ouvertes.fr/hal-00976116</identifier>
<identifier>https://hal-univ-rennes1.archives-ouvertes.fr/hal-00976116/document</identifier>
<identifier>https://hal-univ-rennes1.archives-ouvertes.fr/hal-00976116/file/Potential_input_from_metabolomics_accepted.pdf</identifier>
<source>https://hal-univ-rennes1.archives-ouvertes.fr/hal-00976116</source>
<source>Journal of Toxicology and Environmental Health, Part B: Critical Reviews, Taylor & Francis, 2014, 17 (1), pp.21-44. 〈10.1080/10937404.2013.860318〉</source>
<identifier>DOI : 10.1080/10937404.2013.860318</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.1080/10937404.2013.860318</relation>
<identifier>PUBMED : 24597908</identifier>
<relation>info:eu-repo/semantics/altIdentifier/pmid/24597908</relation>
<language>en</language>
<subject lang=en>CHROMATOGRAPHY-MASS SPECTROMETRY</subject>
<subject lang=en>RESONANCE-BASED METABONOMICS</subject>
<subject lang=en>LOW-DOSE EXPOSURE</subject>
<subject lang=en>DISEASE DIAGNOSIS</subject>
<subject lang=en>DIETARY EXPOSURE</subject>
<subject lang=en>ANALYTICAL TECHNOLOGIES</subject>
<subject lang=en>SUBCHRONIC EXPOSURE</subject>
<subject lang=en>BIOLOGICAL SAMPLES</subject>
<subject lang=en>URINE SAMPLES</subject>
<subject lang=en>HUMAN SALIVA</subject>
<subject>[SDV.EE] Life Sciences [q-bio]/Ecology, environment</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>Humans may be exposed via their environment to multiple chemicals as a consequence of human activities and use of synthetic products. Little knowledge is routinely generated on the hazards of these chemical mixtures. The metabolomic approach is widely used to identify metabolic pathways modified by diseases, drugs, or exposures to toxicants. This review, based on the state of the art of the current applications of metabolomics in environmental health, attempts to determine whether metabolomics might constitute an original approach to the study of associations between multiple, low-dose environmental exposures in humans. Studying the biochemical consequences of complex environmental exposures is a challenge demanding the development of careful experimental and epidemiological designs, in order to take into account possible confounders associated with the high level of interindividual variability induced by different lifestyles. The choices of populations studied, sampling and storage procedures, statistical tools used, and system biology need to be considered. Suggestions for improved experimental and epidemiological designs are described. Evidence indicates that metabolomics may be a powerful tool in environmental health in the identification of both complex exposure biomarkers directly in human populations and modified metabolic pathways, in an attempt to improve understanding the underlying environmental causes of diseases. Nevertheless, the validity of biomarkers and relevancy of animal-to-human extrapolation remain key challenges that need to be properly explored.</description>
<date>2014</date>
</dc>
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