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Long-term exposure to ambient PM2.5 and its constituents is associated with MAFLD
BACKGROUND & AIMS: Existing evidence suggests that long-term exposure to ambient fine particulate pollution (PM(2.5)) may increase metabolic dysfunction-associated fatty liver disease (MAFLD) risk. However, there is still limited evidence on the association of PM(2.5) constituents with MAFLD. Th...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632732/ https://www.ncbi.nlm.nih.gov/pubmed/37954486 http://dx.doi.org/10.1016/j.jhepr.2023.100912 |
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author | Guo, Bing Huang, Shourui Li, Sicheng Han, Xinyu Lin, Hualiang Li, Yajie Qin, Zixiu Jiang, Xiaoman Wang, Zihao Pan, Yongyue Zhang, Juying Yin, Jianzhong Zhao, Xing |
author_facet | Guo, Bing Huang, Shourui Li, Sicheng Han, Xinyu Lin, Hualiang Li, Yajie Qin, Zixiu Jiang, Xiaoman Wang, Zihao Pan, Yongyue Zhang, Juying Yin, Jianzhong Zhao, Xing |
author_sort | Guo, Bing |
collection | PubMed |
description | BACKGROUND & AIMS: Existing evidence suggests that long-term exposure to ambient fine particulate pollution (PM(2.5)) may increase metabolic dysfunction-associated fatty liver disease (MAFLD) risk. However, there is still limited evidence on the association of PM(2.5) constituents with MAFLD. Therefore, this study explores the associations between the five main chemical constituents of PM(2.5) and MAFLD to provide more explicit information on the liver exposome. METHODS: A total of 76,727 participants derived from the China Multi-Ethnic Cohort, a large-scale epidemic survey in southwest China, were included in this study. Multiple linear regression models were used to estimate the pollutant-specific association with MAFLD. Weighted quantile sum regression was used to evaluate the joint effect of the pollutant-mixture on MAFLD and identify which constituents contribute most to it. RESULTS: Three-year exposure to PM(2.5) constituents was associated with a higher MAFLD risk and more severe liver fibrosis. Odds ratios for MAFLD were 1.480, 1.426, 1.294, 1.561, 1.618, and 1.368 per standard deviation increase in PM(2.5), black carbon, organic matter, ammonium, sulfate, and nitrate, respectively. Joint exposure to the five major chemical constituents was also positively associated with MAFLD (odds ratio 1.490, 95% CI 1.360–1.632). Nitrate contributed most to the joint effect of the pollutant-mixture. Further stratified analyses indicate that males, current smokers, and individuals with a high-fat diet might be more susceptible to ambient PM(2.5) exposure than others. CONCLUSIONS: Long-term exposure to PM(2.5) and its five major chemical constituents may increase the risk of MAFLD. Nitrate might contribute most to MAFLD, which may provide new clues for liver health. Males, current smokers, and participants with high-fat diets were more susceptible to these associations. IMPACT AND IMPLICATIONS: This large-scale epidemiologic study explored the associations between constituents of fine particulate pollution (PM(2.5)) and metabolic dysfunction-associated fatty liver disease (MAFLD), and further revealed which constituents play a more important role in increasing the risk of MAFLD. In contrast to previous studies that examined the effects of PM(2.5) as a whole substance, this study carefully explored the health effects of the individual constituents of PM(2.5). These findings could (1) help researchers to identify the specific particles responsible for hepatotoxicity, and (2) indicate possible directions for policymakers to efficiently control ambient air pollution, such as targeting the sources of nitrate pollution. |
format | Online Article Text |
id | pubmed-10632732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-106327322023-11-10 Long-term exposure to ambient PM2.5 and its constituents is associated with MAFLD Guo, Bing Huang, Shourui Li, Sicheng Han, Xinyu Lin, Hualiang Li, Yajie Qin, Zixiu Jiang, Xiaoman Wang, Zihao Pan, Yongyue Zhang, Juying Yin, Jianzhong Zhao, Xing JHEP Rep Research Article BACKGROUND & AIMS: Existing evidence suggests that long-term exposure to ambient fine particulate pollution (PM(2.5)) may increase metabolic dysfunction-associated fatty liver disease (MAFLD) risk. However, there is still limited evidence on the association of PM(2.5) constituents with MAFLD. Therefore, this study explores the associations between the five main chemical constituents of PM(2.5) and MAFLD to provide more explicit information on the liver exposome. METHODS: A total of 76,727 participants derived from the China Multi-Ethnic Cohort, a large-scale epidemic survey in southwest China, were included in this study. Multiple linear regression models were used to estimate the pollutant-specific association with MAFLD. Weighted quantile sum regression was used to evaluate the joint effect of the pollutant-mixture on MAFLD and identify which constituents contribute most to it. RESULTS: Three-year exposure to PM(2.5) constituents was associated with a higher MAFLD risk and more severe liver fibrosis. Odds ratios for MAFLD were 1.480, 1.426, 1.294, 1.561, 1.618, and 1.368 per standard deviation increase in PM(2.5), black carbon, organic matter, ammonium, sulfate, and nitrate, respectively. Joint exposure to the five major chemical constituents was also positively associated with MAFLD (odds ratio 1.490, 95% CI 1.360–1.632). Nitrate contributed most to the joint effect of the pollutant-mixture. Further stratified analyses indicate that males, current smokers, and individuals with a high-fat diet might be more susceptible to ambient PM(2.5) exposure than others. CONCLUSIONS: Long-term exposure to PM(2.5) and its five major chemical constituents may increase the risk of MAFLD. Nitrate might contribute most to MAFLD, which may provide new clues for liver health. Males, current smokers, and participants with high-fat diets were more susceptible to these associations. IMPACT AND IMPLICATIONS: This large-scale epidemiologic study explored the associations between constituents of fine particulate pollution (PM(2.5)) and metabolic dysfunction-associated fatty liver disease (MAFLD), and further revealed which constituents play a more important role in increasing the risk of MAFLD. In contrast to previous studies that examined the effects of PM(2.5) as a whole substance, this study carefully explored the health effects of the individual constituents of PM(2.5). These findings could (1) help researchers to identify the specific particles responsible for hepatotoxicity, and (2) indicate possible directions for policymakers to efficiently control ambient air pollution, such as targeting the sources of nitrate pollution. Elsevier 2023-09-17 /pmc/articles/PMC10632732/ /pubmed/37954486 http://dx.doi.org/10.1016/j.jhepr.2023.100912 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Guo, Bing Huang, Shourui Li, Sicheng Han, Xinyu Lin, Hualiang Li, Yajie Qin, Zixiu Jiang, Xiaoman Wang, Zihao Pan, Yongyue Zhang, Juying Yin, Jianzhong Zhao, Xing Long-term exposure to ambient PM2.5 and its constituents is associated with MAFLD |
title | Long-term exposure to ambient PM2.5 and its constituents is associated with MAFLD |
title_full | Long-term exposure to ambient PM2.5 and its constituents is associated with MAFLD |
title_fullStr | Long-term exposure to ambient PM2.5 and its constituents is associated with MAFLD |
title_full_unstemmed | Long-term exposure to ambient PM2.5 and its constituents is associated with MAFLD |
title_short | Long-term exposure to ambient PM2.5 and its constituents is associated with MAFLD |
title_sort | long-term exposure to ambient pm2.5 and its constituents is associated with mafld |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632732/ https://www.ncbi.nlm.nih.gov/pubmed/37954486 http://dx.doi.org/10.1016/j.jhepr.2023.100912 |
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