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The Exposome: Molecules to Populations.
Niedzwiecki, Megan M; Walker, Douglas I; Vermeulen, Roel; Chadeau-Hyam, Marc; Jones, Dean P; Miller, Gary W.
Afiliação
  • Niedzwiecki MM; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; email: megan.niedzwiecki@mssm.edu , Douglas.walker@mssm.edu.
  • Walker DI; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; email: megan.niedzwiecki@mssm.edu , Douglas.walker@mssm.edu.
  • Vermeulen R; Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, USA.
  • Chadeau-Hyam M; Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University, Atlanta, Georgia 30322, USA; email: dpjones@emory.edu.
  • Jones DP; Institute for Risk Assessment Sciences, Utrecht University, 3584 CM Utrecht, Netherlands; email: R.C.H.Vermeulen@uu.nl.
  • Miller GW; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3584 Utrecht, Netherlands.
Annu Rev Pharmacol Toxicol ; 59: 107-127, 2019 01 06.
Article em En | MEDLINE | ID: mdl-30095351
Derived from the term exposure, the exposome is an omic-scale characterization of the nongenetic drivers of health and disease. With the genome, it defines the phenome of an individual. The measurement of complex environmental factors that exert pressure on our health has not kept pace with genomics and historically has not provided a similar level of resolution. Emerging technologies make it possible to obtain detailed information on drugs, toxicants, pollutants, nutrients, and physical and psychological stressors on an omic scale. These forces can also be assessed at systems and network levels, providing a framework for advances in pharmacology and toxicology. The exposome paradigm can improve the analysis of drug interactions and detection of adverse effects of drugs and toxicants and provide data on biological responses to exposures. The comprehensive model can provide data at the individual level for precision medicine, group level for clinical trials, and population level for public health.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Genoma Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Annu Rev Pharmacol Toxicol Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Genoma Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Annu Rev Pharmacol Toxicol Ano de publicação: 2019 Tipo de documento: Article