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

doi:http://dx.doi.org/10.1021/acs.est.3c07961

Adopting mechanistic molecular biology approaches in exposome research for causal understanding

Citation

Foreman AL, Warth B, Hessel EVS, Price EJ, Schymanski EL, Cantelli G, et al. Adopting mechanistic molecular biology approaches in exposome research for causal understanding. Environ Sci Technol. 2024 Apr 30;58(17):7256-69. DOI: 10.1021/acs.est.3c07961

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.