P M 2.5 and Serum Metabolome and Insulin Resistance, Potential Mediation by the Gut Microbiome: A Population-Based Panel Study of Older Adults in China.

Autor: Zhao L; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Fang J; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Tang S; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Deng F; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Liu X; National Protein Science Technology Center and School of Life Sciences, Tsinghua University, Beijing, China., Shen Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Liu Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Kong F; Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China., Du Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Cui L; Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, China., Shi W; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Wang Y; Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China., Wang J; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Zhang Y; Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, China., Dong X; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Gao Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Dong L; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Zhou H; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Sun Q; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Dong H; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Peng X; Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, China., Zhang Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Cao M; Jinan Municipal Center for Disease Control and Prevention, Jinan, Shandong, China., Wang Y; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Zhi H; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Du H; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Zhou J; Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong, China., Li T; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China., Shi X; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Jazyk: angličtina
Zdroj: Environmental health perspectives [Environ Health Perspect] 2022 Feb; Vol. 130 (2), pp. 27007. Date of Electronic Publication: 2022 Feb 14.
DOI: 10.1289/EHP9688
Abstrakt: Background: Insulin resistance (IR) affects the development of type 2 diabetes mellitus (T2DM), which is also influenced by accumulated fine particle air pollution [particulate matter (PM) with aerodynamic diameter of < 2.5 μ m ( PM 2.5 )] exposure. Previous experimental and epidemiological studies have proposed several potential mechanisms by which PM 2.5 contributes to IR/T2DM, including inflammation imbalance, oxidative stress, and endothelial dysfunction. Recent evidence suggests that the imbalance of the gut microbiota affects the metabolic process and may precede IR. However, the underlying mechanisms of PM 2.5 , gut microbiota, and metabolic diseases are unclear.
Objectives: We investigated the associations between personal exposure to PM 2.5 and fasting blood glucose and insulin levels, the IR index, and other related biomarkers. We also explored the potential underlying mechanisms (systemic inflammation and sphingolipid metabolism) between PM 2.5 and insulin resistance and the mediating effects between PM 2.5 and sphingolipid metabolism.
Methods: We recruited 76 healthy seniors to participate in a repeated-measures panel study and conducted clinical examinations every month from September 2018 to January 2019. Linear mixed-effects (LME) models were used to analyze the associations between PM 2.5 and health data (e.g., functional factors, the IR index, inflammation and other IR-related biomarkers, metabolites, and gut microbiota). We also performed mediation analyses to evaluate the effects of mediators (gut microbiota) on the associations between exposures ( PM 2.5 ) and featured metabolism outcomes.
Results: Our prospective panel study illustrated that exposure to PM 2.5 was associated with an increased risk of higher IR index and functional biomarkers, and our study provided mechanistic evidence suggesting that PM 2.5 exposure may contribute to systemic inflammation and altered sphingolipid metabolism.
Discussion: Our findings demonstrated that PM 2.5 was associated with the genera of the gut microbiota, which partially mediated the association between PM 2.5 and sphingolipid metabolism. These findings may extend our current understanding of the pathways of PM 2.5 and IR. https://doi.org/10.1289/EHP9688.
Databáze: MEDLINE
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