Your browser doesn't support javascript.
loading
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.
Afiliação
  • Foreman AL; European Molecular Biology Laboratory & European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton CB10 1SD, U.K.
  • Warth B; Department of Food Chemistry and Toxicology, University of Vienna, 1090 Vienna, Austria.
  • Hessel EVS; National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands.
  • Price EJ; RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno 60200, Czech Republic.
  • Schymanski EL; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, 6 avenue du Swing, L-4367 Belvaux, Luxembourg.
  • Cantelli G; European Molecular Biology Laboratory & European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton CB10 1SD, U.K.
  • Parkinson H; European Molecular Biology Laboratory & European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton CB10 1SD, U.K.
  • Hecht H; RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno 60200, Czech Republic.
  • Klánová J; RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno 60200, Czech Republic.
  • Vlaanderen J; Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Heidelberglaan 8 3584 CS Utrecht, The Netherlands.
  • Hilscherova K; RECETOX, Faculty of Science, Masaryk University, Kotlarska 2, Brno 60200, Czech Republic.
  • Vrijheid M; Institute for Global Health (ISGlobal), Barcelona Biomedical Research Park (PRBB), Doctor Aiguader, 88, 08003 Barcelona, Spain.
  • Vineis P; Universitat Pompeu Fabra, Carrer de la Mercè, 12, Ciutat Vella, 08002 Barcelona, Spain.
  • Araujo R; Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Av. Monforte de Lemos, 3-5. Pebellón 11, Planta 0, 28029 Madrid, Spain.
  • Barouki R; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London SW7 2AZ, U.K.
  • Vermeulen R; European Commission, DG Research and Innovation, Sq. Frère-Orban 8, 1000 Bruxelles, Belgium.
  • Lanone S; Université Paris Cité, Inserm unit, 1124 Paris, France.
  • Brunak S; Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Heidelberglaan 8 3584 CS Utrecht, The Netherlands.
  • Sebert S; Univ Paris Est Creteil, INSERM, IMRB, F-94010 Creteil, France.
  • Karjalainen T; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Blegdamsvej 3B, 2200 København, Denmark.
Environ Sci Technol ; 58(17): 7256-7269, 2024 Apr 30.
Article em En | MEDLINE | ID: mdl-38641325
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.
Assuntos
Palavras-chave

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Exposição Ambiental / Expossoma Limite: Humans Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Exposição Ambiental / Expossoma Limite: Humans Idioma: En Revista: Environ Sci Technol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido