How polluted is your fat? What the study of adipose tissue can contribute to environmental epidemiology

J Epidemiol Community Health. 2020 May;74(5):401-407. doi: 10.1136/jech-2019-213181. Epub 2020 Feb 4.

Abstract

The study of the potential contribution of low-dose exposure to environmental chemicals on the development of chronic conditions in human populations is often hampered by methodological issues, including exposure misclassification and the inability to assess biological effects in target organs. White adipose tissue (WAT) presents the unique feature of being both an advantageous matrix for assessing long-term exposure to mixtures of persistent organic pollutants and an interesting tissue to investigate early preclinical effects. Moreover, other lipophilic non-persistent chemicals and heavy metals have been recently quantified in fat, suggesting that human WAT contains chemical mixtures more complex than initially thought. However, WAT has been scarcely used in environmental epidemiology due to collection difficulties. In this essay we discuss the potential of using human WAT as a source of both exposure and effect biomarkers, with the aim of advancing the epidemiological research of obesity-related diseases, including metabolic syndrome and cancer. Overall, we discuss the implications of investigating WAT in a multidisciplinary framework combining toxicological and epidemiological knowledge in order to improve the inference of causal relationships in observational settings. We finalise by suggesting feasible designs and scenarios in which WAT samples may be reasonably collected.

Keywords: biomonitoring; endocrinology; environmental epidemiology; epidemiology of chronic diseases; obesity.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Adipose Tissue / drug effects
  • Adipose Tissue / metabolism*
  • Adipose Tissue, White / drug effects
  • Adipose Tissue, White / metabolism*
  • Environmental Exposure / adverse effects*
  • Environmental Exposure / statistics & numerical data
  • Environmental Health / methods*
  • Environmental Pollutants / adverse effects*
  • Environmental Pollutants / metabolism
  • Environmental Pollution / adverse effects*
  • Epidemiologic Studies
  • Humans
  • Risk Assessment

Substances

  • Environmental Pollutants