Literature DB >> 29138022

To which mixtures are French pregnant women mainly exposed? A combination of the second French total diet study with the EDEN and ELFE cohort studies.

T Traoré1, A Forhan2, V Sirot1, M Kadawathagedara3, B Heude2, M Hulin1, B de Lauzon-Guillain2, J Botton4, M A Charles2, A Crépet5.   

Abstract

Pregnant women and their unborn child are exposed to a large number of substances during pregnancy. Some of these substances may cross the placenta, resulting in exposure of the foetus. There is growing evidence that certain substances could interact to produce a mixture effect. It is therefore essential to identify the main mixtures mothers are exposed to. This study aimed to identify the major mixtures French pregnant women included in EDEN and ELFE cohorts were exposed to, on the basis of the 441 substances analysed in the second French total diet study. Exposure systems and the composition of substances were identified from co-exposures using sparse non-negative matrix under-approximation to generate the main mixtures. Individuals were clustered to define clusters with similar co-exposure profiles. Six clusters associated with eight mixtures were identified. For example in ELFE, cluster 2 comprising 10% of the population was characterised by mixtures "Pest-1" mainly contains pesticides and "TE-F-PAH″ contains trace elements, furans and polycyclic aromatic hydrocarbons. Five other clusters were also described with their associated mixtures. Similar results were observed for EDEN. This study helps to prioritise mixtures for which it is crucial to investigate possible toxicological effects and to recommend epidemiological studies concerning health effects.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chemical mixtures; Co-exposure assessment; Individual clusters; Pregnant women; Sparse non-negative matrix under-approximation

Mesh:

Substances:

Year:  2017        PMID: 29138022     DOI: 10.1016/j.fct.2017.11.016

Source DB:  PubMed          Journal:  Food Chem Toxicol        ISSN: 0278-6915            Impact factor:   6.023


  3 in total

Review 1.  Complex Mixtures, Complex Analyses: an Emphasis on Interpretable Results.

Authors:  Elizabeth A Gibson; Jeff Goldsmith; Marianthi-Anna Kioumourtzoglou
Journal:  Curr Environ Health Rep       Date:  2019-06

2.  Prospective association between dietary pesticide exposure profiles and type 2 diabetes risk in the NutriNet-Santé cohort.

Authors:  Pauline Rebouillat; Rodolphe Vidal; Jean-Pierre Cravedi; Bruno Taupier-Letage; Laurent Debrauwer; Laurence Gamet-Payrastre; Hervé Guillou; Mathilde Touvier; Léopold K Fezeu; Serge Hercberg; Denis Lairon; Julia Baudry; Emmanuelle Kesse-Guyot
Journal:  Environ Health       Date:  2022-05-25       Impact factor: 7.123

3.  Integrating Selection and Risk Assessment of Chemical Mixtures: A Novel Approach Applied to a Breast Milk Survey.

Authors:  Amélie Crépet; Paule Vasseur; Julien Jean; Pierre-Marie Badot; Fabrice Nesslany; Jean-Paul Vernoux; Cyril Feidt; Sakina Mhaouty-Kodja
Journal:  Environ Health Perspect       Date:  2022-03-03       Impact factor: 9.031

  3 in total

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