NMR-based metabolomic analysis of human plasma to examine the effect of exposure to persistent organic pollutants.

Chemosphere

Integrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul, 03759, Republic of Korea; Department of Chemistry and Nano Science, Ewha Womans University, Seoul, 03760, Republic of Korea. Electronic address:

Published: November 2022

AI Article Synopsis

  • * A study involving 276 Korean individuals analyzed the levels of POPs in human plasma and their correlation with metabolites using advanced NMR techniques and statistical methods.
  • * The results showed that specific metabolites (creatinine, acetate, and formate) were significantly associated with PCB exposure, suggesting these metabolites could serve as potential risk indicators for health effects related to POP exposure.

Article Abstract

Persistent organic pollutants (POPs) are lipophilic environmental toxins, and the level of chemicals accumulated in the body through the food chain has been linked to the incidence of diseases such as type 2 diabetes, cardiovascular disease, and cancer. We analyzed the concentration of POPs and circulating metabolites and investigated the associations between the concentration of plasma metabolites and the levels of polychlorinated biphenyls (PCBs) and organochlorine pesticides (OCPs) to determine the effect of the accumulation of POPs in human samples. Metabolic profiling of plasma from 276 Korean participants was performed using H nuclear magnetic resonance (NMR) and statistical analyses. The concentrations of PCBs and OCPs in each sample were measured. Correlation analysis and a covariate-adjusted general linear model (GLM) were used to investigate the association of the concentration of POPs with circulating metabolites in human blood samples. We found that four categories of Σ6PCBs and Σ5OCPs based on rank were significantly correlated with 4 and 5 metabolites, respectively, after adjusting for confounding factors, including age, sex, body mass index (BMI), smoking status, alcohol intake, physical activity, triglycerides, and total cholesterol. According to the GLM analyses, 3 metabolites, namely, creatinine, acetate, and formate, among the 4 correlated metabolites were associated with four categories of rank-based Σ6PCBs. On the other hand, the quartiles of the rank-based Σ5OCPs were not associated with any circulating metabolites among the 5 correlated metabolites. Our findings indicate that the metabolites related to short-chain fatty acids and creatine can be useful risk indicators for estimating the effect of PCB exposure.

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Source
http://dx.doi.org/10.1016/j.chemosphere.2022.135963DOI Listing

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