Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
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Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
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Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Background: Metabolic dysfunction-associated fatty liver disease (MAFLD) and air pollution are both significant health concerns. However, their combined effects on multi-system morbidity and all-cause mortality remain poorly understood.
Methods: We analyzed data from 434,417 UK Biobank participants, categorizing them into four groups: non-MAFLD, MAFLD-diabetes, MAFLD-lean, and MAFLD-overweight/obesity. To evaluate the long-term effects of air pollution exposure, we used time-varying Cox proportional hazard models to assess four air pollutants: particulate matter with an aerodynamic diameter < 2.5 μm (PM), PM, nitrogen dioxide (NO), and nitrogen oxides (NO). We examined the associations between these air pollutants, MAFLD subtypes, and their joint impact on multi-system morbidity and all-cause mortality. Furthermore, we explored the additive and multiplicative interactions between air pollutants and MAFLD subtypes.
Results: At baseline, 15,325 participants were classified as MAFLD-diabetes, 3341 as MAFLD-lean, and 140,934 as MAFLD-overweight/obesity. Among these groups, MAFLD-diabetes was most strongly associated with adverse outcomes compared to other subtypes. Air pollution exposure had a synergistic effect on cirrhosis risk across all MAFLD subtypes, with the most pronounced effects observed for PM [relative excess risk due to interaction (RERI): 2.10 (0.94, 3.26)] and NO [RERI:1.85 (0.67, 3.04)] in MAFLD-lean group. Positive additive and multiplicative interactions between air pollutants and MAFLD subtypes were also observed for coronary artery disease (CAD), with the exception of nitrogen oxide in the MAFLD-lean group. Additionally, only the MAFLD-diabetes demonstrated significant positive additive interactions with all four air pollutants in relation to chronic kidney disease (CKD).
Conclusions: This study highlights the distinct impacts of MAFLD subtypes on multi-system morbidity and all-cause mortality, underscoring the critical need for targeted prevention and treatment strategies, particularly for individuals with MAFLD-diabetes. Our findings reveal significant additive and synergistic effects of air pollution exposure on the risks of cirrhosis, CAD, and CKD among MAFLD patients.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11860302 | PMC |
http://dx.doi.org/10.1016/j.ecoenv.2025.117893 | DOI Listing |