'Omics in environmental epidemiological studies of chemical exposures: A systematic evidence map. (June 2022)

• Record Type: Journal Article
• Authors: Kim, Stephanie; Hollinger, Hillary; Radke, Elizabeth G.
• Is Part Of: Environment international. Volume 164(2022)
• Publication Date: 2022-06
• Subjects: Systematic evidence map -- Environmental epidemiology -- 'Omics; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2022.107243
• Languages: English
• ISSNs: 0160-4120

Abstract

Highlights: Systematic evidence map of environmental epidemiological studies investigating chemicals and biological effects using 'omics technology is provided. Study information extracted include population, study design, years of data collection, sample size, exposure measurement, and 'omics analysis. This systematic evidence map may allow for a range of applications in chemical research and regulatory assessment needs. Abstract: Background: Systematic evidence maps are increasingly used to develop chemical risk assessments. These maps can provide an overview of available studies and relevant study information to be used for various research objectives and applications. Environmental epidemiological studies that examine the impact of chemical exposures on various 'omic profiles in human populations provide relevant mechanistic information and can be used for benchmark dose modeling to derive potential human health reference values. Objectives: To create a systematic evidence map of environmental epidemiological studies examining environmental contaminant exposures with 'omics in order to characterize the extent of available studies for future research needs. Methods: Systematic review methods were used to search and screen the literature and included the use of machine learning methods to facilitate screening studies. The Populations, Exposures, Comparators and Outcomes (PECO) criteria were developed to identify and screen relevant studies. Studies that met the PECO criteria after full-text review were summarized with information such as study population, study design, sample size, exposure measurement, and 'omics analysis. Results: Over 10, 000 studies were identified from scientific databases. Screening processes were used to identify 84 studies considered PECO-relevant after full-text review. Various contaminants (e.g. phthalate, benzene, arsenic, etc.) were investigated in epidemiological studies that used one or more of the four 'omics of interest: epigenomics, transcriptomics, proteomics, and metabolomics . The epidemiological study designs that were used to explore single or integrated 'omic research questions with contaminant exposures were cohort studies, controlled trials, cross-sectional, and case-control studies. An interactive web-based systematic evidence map was created to display more study-related information. Conclusions: This systematic evidence map is a novel tool to visually characterize the available environmental epidemiological studies investigating contaminants and biological effects using 'omics technology and serves as a resource for investigators and allows for a range of applications in chemical research and risk assessment needs.