The final, formatted version of the article will be published soon.
ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Systems Endocrinology
Volume 15 - 2024 |
doi: 10.3389/fendo.2024.1396032
This article is part of the Research Topic Genetics and multi-omics approach in metabolic liver disorders View all 3 articles
Exploring the Relationship between Air Pollution, Non-alcoholic Fatty Liver Disease, and Liver Function Indicators: A two-sample Mendelian randomization analysis study
Provisionally accepted- Jinan University, Guangzhou, China
Background and aims: Non-alcoholic fatty liver disease (NAFLD) is a common metabolic disorder worldwide, with an increasing incidence in recent years. While previous studies have suggested an association between the air pollutant PM2.5 and NAFLD, there is still considerable debate regarding the existence of a clear causal relationship between air pollution and NAFLD. This study aims to employ Mendelian randomization methods to evaluate the causal relationship between major air pollutants and NAFLD.We conducted Mendelian randomization analyses on a large-scale publicly available genome-wide association study (GWAS) dataset of European populations to dissect the association between air pollutants, NAFLD, and liver function indicators. We used five different analysis methods, including Inverse-variance weighted (IVW), Weighted median, MR-Egger, Simple mode, and Weighted mode, to analyze the data. We also tested for pleiotropy, heterogeneity, and sensitivity of the results.Results: This study utilized four common exposures related to air pollution and four outcomes related to NAFLD. The results regarding the association between air pollutants and NAFLD (PM2.
Keywords: Air Pollution, Non-alcoholic fatty liver disease, liver function indicators, PM2.5, causal relationship, Mendelian randomization study
Received: 05 Mar 2024; Accepted: 06 Nov 2024.
Copyright: © 2024 Song, Pan, Pan, Zheng, Fan, Zhen, Pi, Liang, Shen, Li, Yang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Jinyue Pan, Jinan University, Guangzhou, China
Wen Fan, Jinan University, Guangzhou, China
Jianwei Zhen, Jinan University, Guangzhou, China
Haiyan Shen, Jinan University, Guangzhou, China
Yuanyou Li, Jinan University, Guangzhou, China
Qinhe Yang, Jinan University, Guangzhou, China
Yupei Zhang, Jinan University, Guangzhou, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.