A prospective whole-mixture approach to assess risk of the food and chemical exposome.


Journal

Nature food
ISSN: 2662-1355
Titre abrégé: Nat Food
Pays: England
ID NLM: 101761102

Informations de publication

Date de publication:
Jul 2021
Historique:
received: 11 06 2020
accepted: 07 06 2021
medline: 1 7 2021
pubmed: 1 7 2021
entrez: 28 4 2023
Statut: ppublish

Résumé

Many widely used chemicals result in ubiquitous human exposure from multiple sources, including diet. Legislation mainly deals with the toxicological evaluation of single substances owing to a methodological and conceptual lack of alternatives, and does so within defined silos subject to over 40 distinct regulations in the EU alone. Furthermore, much of the research and many of the initiatives concerned with the assessment and evaluation of chemical mixtures and their potential effects on human health rely on retrospective analysis. Here we propose an approach for the prospective identification, assessment and regulation of mixtures relevant to human health. We address two distinct aspects of toxicology-which chemicals actually do occur together, and how potential mixture-related health hazards can be predicted-with an adapted concept of the exposome and large-scale hazard screens. The proactive use of the likelihood of co-exposure, together with the new approach of methods-based testing, may be a timely and feasible way of identifying those substances and mixtures where hazards may have been overlooked and regulatory action is needed. Ideally, we would generate co-exposure patterns for specific consumer groups, depending on lifestyle and dietary habits, to assess the specific risk of identified mixtures.

Identifiants

pubmed: 37117676
doi: 10.1038/s43016-021-00316-7
pii: 10.1038/s43016-021-00316-7
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

463-468

Informations de copyright

© 2021. Springer Nature Limited.

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Auteurs

T Tralau (T)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany. Tewes.Tralau@bfr.bund.de.

M Oelgeschläger (M)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany. Michael.Oelgeschlaeger@bfr.bund.de.

J Kugler (J)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany. Josephine.Kugler@bfr.bund.de.

D Bloch (D)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

A Braeuning (A)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

T Burgdorf (T)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

P Marx-Stoelting (P)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

V Ritz (V)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

S Schmeisser (S)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

A Trubiroha (A)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

S Zellmer (S)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

A Luch (A)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

G Schönfelder (G)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.
Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, HumboldtUniversität zu Berlin and Berlin Institute of Health, Berlin, Germany.

R Solecki (R)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

A Hensel (A)

German Federal Institute for Risk Assessment (BfR), Berlin, Germany.

Classifications MeSH