The exposome: Molecules to populations

Megan M. Niedzwiecki; Douglas I. Walker; Roel Vermeulen; Marc Chadeau-Hyam; Dean P. Jones; Gary W. Miller

doi:10.1146/annurev-pharmtox-010818-021315

The exposome: Molecules to populations

Megan M. Niedzwiecki, Douglas I. Walker, Roel Vermeulen, Marc Chadeau-Hyam, Dean P. Jones, Gary W. Miller

Research output: Contribution to journal › Review article › peer-review

121 Scopus citations

Abstract

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 ormation 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.

Original language	English
Pages (from-to)	107-127
Number of pages	21
Journal	Annual Review of Pharmacology and Toxicology
Volume	59
DOIs	https://doi.org/10.1146/annurev-pharmtox-010818-021315
State	Published - 6 Jan 2019

Keywords

Epidemiology
Exposome
Exposure
Metabolomics
Pharmacokinetics
Systems biology

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10.1146/annurev-pharmtox-010818-021315

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abstract = "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 ormation 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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note = "Funding Information: This work was supported by grants P30 ES019776, P30 ES023515, U2C ES026560, and T32 ES012870-13 from the National Institutes of Health. M.C.-H. acknowledges support from Cancer Research UK, Population Research Committee Project grant ({"}Mechanomics{"} project 22184). Funding Information: This work was supported by grants P30 ES019776, P30 ES023515, U2C ES026560, and T32 ES012870-13 from the National Institutes of Health. M.C.-H. acknowledges support from Cancer Research UK, Population Research Committee Project grant (“Mechanomics” project 22184). Publisher Copyright: {\textcopyright} 2019 by Annual Reviews. All rights reserved.",

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The exposome: Molecules to populations

Abstract

Keywords

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