학술논문

Assessing Metabolic Differences Associated with Exposure to Polybrominated Biphenyl and Polychlorinated Biphenyls in the Michigan PBB Registry.
Document Type
Article
Source
Environmental Health Perspectives. Oct2023, Vol. 131 Issue 10, p107005-1-107005-13. 13p. 2 Diagrams, 5 Charts, 1 Graph.
Subject
*AMINO acid metabolism
*REPORTING of diseases
*ENERGY metabolism
*POLYSACCHARIDES
*POLLUTANTS
*METABOLOMICS
*INFLAMMATION
*BIPHENYL compounds
*NEUROTRANSMITTERS
*SEROTONIN
*ORGANIC compounds
*GAS chromatography
*BIOINFORMATICS
*OXIDATIVE stress
*RESEARCH funding
*QUESTIONNAIRES
*MASS spectrometry
*DESCRIPTIVE statistics
*POLYCHLORINATED biphenyls
*ENVIRONMENTAL exposure
*LONGITUDINAL method
*FATTY acids
*ENDOCRINE disruptors
Language
ISSN
0091-6765
Abstract
BACKGROUND: Polybrominated biphenyls (PBB) and polychlorinated biphenyls (PCB) are persistent organic pollutants with potential endocrine-disrupting effects linked to adverse health outcomes. OBJECTIVES: In this study, we utilize high-resolution metabolomics (HRM) to identify internal exposure and biological responses underlying PCB and multigenerational PBB exposure for participants enrolled in the Michigan PBB Registry. METHODS: HRM profiling was conducted on plasma samples collected from 2013 to 2014 from a subset of participants enrolled in the Michigan PBB Registry, including 369 directly exposed individuals (F0) who were alive when PBB mixtures were accidentally introduced into the food chain and 129 participants exposed to PBB in utero or through breastfeeding, if applicable (F1). Metabolome-wide association studies were performed for PBB- 153 separately for each generation and ΣPCB (PCB-118, PCB-138, PCB-153, and PCB-180) in the two generations combined, as both had direct PCB exposure. Metabolite and metabolic pathway alterations were evaluated following a well-established untargeted HRM workflow. RESULTS: Mean levels were 1.75 ng/mL [standard deviation (SD). 13.9] for PBB-153 and 1.04 ng/mL (SD. 0.788) for ΣPCB. Sixty-two and 26 metabolic features were significantly associated with PBB-153 in F0 and F1 [false discovery rate (FDR) 푝<0.2], respectively. There were 2,861 features associated with ΣPCB (FDR 푝<0.2). Metabolic pathway enrichment analysis using a bioinformatics tool revealed perturbations associated with ΣPCB in numerous oxidative stress and inflammation pathways (e.g., carnitine shuttle, glycosphingolipid, and vitamin B9 metabolism). Metabolic perturbations associated with PBB-153 in F0 were related to oxidative stress (e.g., pentose phosphate and vitamin C metabolism) and in F1 were related to energy production (e.g., pyrimidine, amino sugars, and lysine metabolism). Using authentic chemical standards, we confirmed the chemical identity of 29 metabolites associated with ΣPCB levels (level 1 evidence). CONCLUSIONS: Our results demonstrate that serum PBB-153 is associated with alterations in inflammation and oxidative stress-related pathways, which differed when stratified by generation. We also found that ΣPCB was associated with the downregulation of important neurotransmitters, serotonin, and 4-aminobutanoate. These findings provide novel insights for future investigations of molecular mechanisms underlying PBB and PCB exposure on health. [ABSTRACT FROM AUTHOR]