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Association of long-term exposure to ambient PM 2.5 and its constituents with gut microbiota: Evidence from a China cohort.

Authors :
Li S
Guo B
Dong K
Huang S
Wu J
Zhou H
Wu K
Han X
Liang X
Pei X
Zuo H
Lin H
Zhao X
Source :
The Science of the total environment [Sci Total Environ] 2023 Aug 01; Vol. 884, pp. 163577. Date of Electronic Publication: 2023 Apr 19.
Publication Year :
2023

Abstract

Accumulating animal experiments and epidemiological studies have found that exposure to fine particulate matter (PM <subscript>2.5</subscript> ) is associated with altered gut microbiota (GM). However, it is unclear what kind of role the PM <subscript>2.5</subscript> constituents play in the PM <subscript>2.5</subscript> -GM association. Therefore, this study aimed to investigate the association of long-term exposure to PM <subscript>2.5</subscript> and its constituents (PM <subscript>cons</subscript> ) with GM. This study included 1583 participants from a cohort in Southwest China. Satellite remote sensing and chemical transport modelling were used to determine the yearly average concentrations of PM <subscript>cons</subscript> . GM data were derived from 16 s sequencing based on stool samples. Generalized propensity score weighting regression and Bayesian Kernel Machine Regression (BKMR) were used to estimate the individual and joint association of exposure to PM <subscript>cons</subscript> with the Shannon index. The weighted correlation analysis was used to estimate the association of PM <subscript>cons</subscript> with the composition of GM. The result showed that an interquartile range increase of 3-year average black carbon (BC), ammonium, nitrate, organic matter (OM), sulfate, and soil particles (SOIL) were negatively associated with Shannon index with mean difference (95 % confidence interval) being -0.144 (-0.208, -0.080), -0.141 (-0.205, -0.078), -0.126 (-0.184, -0.068), -0.117 (-0.172, -0.062), -0.153 (-0.221, -0.085), and - 0.153 (-0.222, -0.085). BKMR indicated joint exposure to PM <subscript>cons</subscript> was associated with decreased Shannon index, and BC had the largest posterior inclusion probability (0.578). Weighted correlation analyses indicated PM <subscript>cons</subscript> were associated with decreased Bacteroidetes (r = -0.204, P < 0.001 for PM <subscript>2.5</subscript> ) and increased Proteobacteria (r = 0.273, P < 0.001 for PM <subscript>2.5</subscript> ). These results revealed that long-term exposure to PM <subscript>cons</subscript> was associated with GM. BC was the most important constituent in the association, indicating that the source of BC should be controlled to mitigate the negative effects of PM <subscript>2.5</subscript> on GM.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1879-1026
Volume :
884
Database :
MEDLINE
Journal :
The Science of the total environment
Publication Type :
Academic Journal
Accession number :
37084912
Full Text :
https://doi.org/10.1016/j.scitotenv.2023.163577