Environmental metabolomics: a SWOT analysis (strengths, weaknesses, opportunities, and threats).
Metabolomic approaches have the potential to make an exceptional contribution to understanding how chemicals and other environmental stressors can affect both human and environmental health. However, the application of metabolomics to environmental exposures, although getting underway, has not yet been extensively explored. This review will use a SWOT analysis model to discuss some of the strengths, weaknesses, opportunities, and threats that are apparent to an investigator venturing into this relatively new field. SWOT has been used extensively in business settings to uncover new outlooks and identify problems that would impede progress. The field of environmental metabolomics provides great opportunities for discovery, and this is recognized by a high level of interest in potential applications. However, understanding the biological consequence of environmental exposures can be confounded by inter- and intra-individual differences. Metabolomic profiles can yield a plethora of data, the interpretation of which is complex and still being evaluated and researched. The development of the field will depend on the availability of technologies for data handling and that permit ready access metabolomic databases. Understanding the relevance of metabolomic endpoints to organism health vs adaptation vs variation is an important step in understanding what constitutes a substantive environmental threat. Metabolomic applications in reproductive research are discussed. Overall, the development of a comprehensive mechanistic-based interpretation of metabolomic changes offers the possibility of providing information that will significantly contribute to the protection of human health and the environment.
Miller
Marion G
MG
Department of Environmental Toxicology, University of California-Davis, Davis, CA 95616, USA. mgmillersears@ucdavis.edu
D000013:Congenital Abnormalities / Q000453:epidemiology; D004777:Environment; D004782:Environmental Health; D006801:Humans; D007231:Infant, Newborn; D008660:Metabolism; D015203:Reproducibility of Results; D012098:Reproduction