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Metabolome-wide associations with short-term exposure to PM2.5-bound polycyclic aromatic hydrocarbons

A study in older adults

Bibliographic Data

ID22073605
AuthorsHaoneng Hu, H M Hu (0000-0001-8500-1536, Fujian Medical University), Quan Zhou (0000-0002-9619-2187, Fujian Medical University), Kang Cao (0000-0001-6171-1795, Fujian Medical University), Yu Jiang (0000-0001-8828-7832), JIANG YU (0000-0002-4436-707X, Fujian Medical University), Jianjun Xiang (0000-0001-8107-2580, Fujian Medical University), Jing Wu (0000-0002-6559-4335, Fujian Medical University), Jin Li (0000-0001-9004-715X), Li Jin (0000-0001-9201-2321, Fujian Medical University), Zhiwei Chen (0000-0002-7741-8048, Fujian Medical University), Shuling Kang (Fujian Medical University), Dandan Zhu (0000-0001-6436-7088), Dan‐Dan Zhu (0000-0003-0279-082X, Quanzhou Normal University), Huaying Lin (0000-0001-8042-2227, Fujian Medical University, corresponding author), Chuancheng Wu (0000-0003-2101-4738, Fujian Medical University, corresponding author)
Year2025
Volume13
Pages1609724-1609724
Publication date2025-07-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1609724
PMID40777644
OpenAlexW4412645363
LanguageEN
References cited54

Background Emerging evidence links fine particulate matter (PM 2.5 ) and its polycyclic aromatic hydrocarbon (PAH) components to adverse health outcomes. However, the biological mechanisms driving these associations remain unclear. This study innovatively integrates personal exposure monitoring and untargeted metabolomics in an older adult population to investigate the differential impacts of individual PM 2.5 -bound PAHs on metabolic pathways and elucidate their roles in health risks. Methods In this study, we enlisted the participation of 112 healthy older adults. We employed personal samplers to monitor the concentrations of pollutants throughout the study period. Furthermore, we conducted an untargeted metabolomic analysis of plasma samples using a liquid chromatograph mass spectrometer (LC–MS). A general linear regression model was utilized to investigate the significant relationships between metabolites and pollutants. Metabolic pathway enrichment analysis was performed to reveal the disturbed metabolic pathways related to PM 2.5 -bound PAHs. Results Our study demonstrated that short-term exposure to PM 2.5 -bound PAHs may induce acute perturbations in plasma metabolites among the older adult population. We found that exposure to LMW PAHs in PM 2.5 were correlated with amino acid metabolic pathways, while HMW-PAHs are associated with fatty acid and cholesterol metabolism pathways. While PM 2.5 mass was higher in summer, the toxic PAHs component of PM 2.5 was substantially higher in winter, contributing to greater observed toxicity. Conclusion The plasma metabolome presents a promising resource for biomarkers and pathways, elucidating the biological mechanisms of PM 2.5 -bound PAHs. Our findings suggest that the cholesterol and citric acid metabolites, as well as the cholesterol biosynthesis and citric acid cycle pathways they affect, may play important roles in the health damage caused by PAHs, providing potential insights into the pathogenic processes underlying the impact of PM 2.5 -bound PAHs

Biology · Chromatography · Environmental health · Metabolic pathway · Metabolism · Metabolome · Metabolomics · Pollutant · Polycyclic aromatic hydrocarbon · Population · Air Quality and Health Impacts · Air Quality Monitoring and Forecasting · Chemistry · Medicine · Toxic Organic Pollutants Impact · Biochemistry · Environmental Chemistry · Physiology

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