Adopting Mechanistic Molecular Biology Approaches in Exposome Research for Causal Understanding
Foreman, Amy L; Warth, Benedikt; Hessel, Ellen V S; Price, Elliott J; Schymanski, Emma L; Cantelli, Gaia; Parkinson, Helen; Hecht, Helge; Klánová, Jana; Vlaanderen, Jelle; Hilscherova, Klara; Vrijheid, Martine; Vineis, Paolo; Araujo, Rita; Barouki, Robert; Vermeulen, Roel; Lanone, Sophie; Brunak, Søren; Sebert, Sylvain; Karjalainen, Tuomo (2024-04-19)
Foreman, Amy L
Warth, Benedikt
Hessel, Ellen V S
Price, Elliott J
Schymanski, Emma L
Cantelli, Gaia
Parkinson, Helen
Hecht, Helge
Klánová, Jana
Vlaanderen, Jelle
Hilscherova, Klara
Vrijheid, Martine
Vineis, Paolo
Araujo, Rita
Barouki, Robert
Vermeulen, Roel
Lanone, Sophie
Brunak, Søren
Sebert, Sylvain
Karjalainen, Tuomo
American chemical society
19.04.2024
Environ. Sci. Technol. 2024, 58, 17, 7256–7269
https://creativecommons.org/licenses/by/4.0/
Copyright © 2024 The Authors. Published by American Chemical Society. This publication is licensed under CC-BY 4.0.
https://creativecommons.org/licenses/by/4.0/
Copyright © 2024 The Authors. Published by American Chemical Society. This publication is licensed under CC-BY 4.0.
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202405023076
https://urn.fi/URN:NBN:fi:oulu-202405023076
Tiivistelmä
Abstract
Through investigating the combined impact of the environmental exposures experienced by an individual throughout their lifetime, exposome research provides opportunities to understand and mitigate negative health outcomes. While current exposome research is driven by epidemiological studies that identify associations between exposures and effects, new frameworks integrating more substantial population-level metadata, including electronic health and administrative records, will shed further light on characterizing environmental exposure risks. Molecular biology offers methods and concepts to study the biological and health impacts of exposomes in experimental and computational systems. Of particular importance is the growing use of omics readouts in epidemiological and clinical studies. This paper calls for the adoption of mechanistic molecular biology approaches in exposome research as an essential step in understanding the genotype and exposure interactions underlying human phenotypes. A series of recommendations are presented to make the necessary and appropriate steps to move from exposure association to causation, with a huge potential to inform precision medicine and population health. This includes establishing hypothesis-driven laboratory testing within the exposome field, supported by appropriate methods to read across from model systems research to human.
Through investigating the combined impact of the environmental exposures experienced by an individual throughout their lifetime, exposome research provides opportunities to understand and mitigate negative health outcomes. While current exposome research is driven by epidemiological studies that identify associations between exposures and effects, new frameworks integrating more substantial population-level metadata, including electronic health and administrative records, will shed further light on characterizing environmental exposure risks. Molecular biology offers methods and concepts to study the biological and health impacts of exposomes in experimental and computational systems. Of particular importance is the growing use of omics readouts in epidemiological and clinical studies. This paper calls for the adoption of mechanistic molecular biology approaches in exposome research as an essential step in understanding the genotype and exposure interactions underlying human phenotypes. A series of recommendations are presented to make the necessary and appropriate steps to move from exposure association to causation, with a huge potential to inform precision medicine and population health. This includes establishing hypothesis-driven laboratory testing within the exposome field, supported by appropriate methods to read across from model systems research to human.
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