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The causal relationship between air pollution, obesity, and COVID-19 risk: a large-scale genetic correlation study

OBJECTIVE: Observational evidence reported that air pollution is a significant risk element for numerous health problems, such as obesity and coronavirus disease 2019 (COVID-19), but their causal relationship is currently unknown. Our objective was to probe the causal relationship between air pollut...

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Autores principales: Zhang, Jingwei, Wen, Jie, Wan, Xin, Luo, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585274/
https://www.ncbi.nlm.nih.gov/pubmed/37867515
http://dx.doi.org/10.3389/fendo.2023.1221442
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author Zhang, Jingwei
Wen, Jie
Wan, Xin
Luo, Peng
author_facet Zhang, Jingwei
Wen, Jie
Wan, Xin
Luo, Peng
author_sort Zhang, Jingwei
collection PubMed
description OBJECTIVE: Observational evidence reported that air pollution is a significant risk element for numerous health problems, such as obesity and coronavirus disease 2019 (COVID-19), but their causal relationship is currently unknown. Our objective was to probe the causal relationship between air pollution, obesity, and COVID-19 and to explore whether obesity mediates this association. METHODS: We obtained instrumental variables strongly correlated to air pollutants [PM2.5, nitrogen dioxide (NO(2)) and nitrogen oxides (NOx)], 9 obesity-related traits (abdominal subcutaneous adipose tissue volume, waist-to-hip ratio, body mass index, hip circumference, waist circumference, obesity class 1-3, visceral adipose tissue volume), and COVID-19 phenotypes (susceptibility, hospitalization, severity) from public genome-wide association studies. We used clinical and genetic data from different public biological databases and performed analysis by two-sample and two-step Mendelian randomization. RESULTS: PM2.5 genetically correlated with 5 obesity-related traits, which obesity class 1 was most affected (beta = 0.38, 95% CI = 0.11 - 0.65, p = 6.31E-3). NO(2) genetically correlated with 3 obesity-related traits, which obesity class 1 was also most affected (beta = 0.33, 95% CI = 0.055 - 0.61, p = 1.90E-2). NOx genetically correlated with 7 obesity-related traits, which obesity class 3 was most affected (beta = 1.16, 95% CI = 0.42-1.90, p = 2.10E-3). Almost all the obesity-related traits genetically increased the risks for COVID-19 phenotypes. Among them, body mass index, waist circumference, hip circumference, waist-to-hip ratio, and obesity class 1 and 2 mediated the effects of air pollutants on COVID-19 risks (p < 0.05). However, no direct causal relationship was observed between air pollution and COVID-19. CONCLUSION: Our study suggested that exposure to heavy air pollutants causally increased risks for obesity. Besides, obesity causally increased the risks for COVID-19 phenotypes. Attention needs to be paid to weight status for the population who suffer from heavy air pollution, as they are more likely to be susceptible and vulnerable to COVID-19.
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spelling pubmed-105852742023-10-20 The causal relationship between air pollution, obesity, and COVID-19 risk: a large-scale genetic correlation study Zhang, Jingwei Wen, Jie Wan, Xin Luo, Peng Front Endocrinol (Lausanne) Endocrinology OBJECTIVE: Observational evidence reported that air pollution is a significant risk element for numerous health problems, such as obesity and coronavirus disease 2019 (COVID-19), but their causal relationship is currently unknown. Our objective was to probe the causal relationship between air pollution, obesity, and COVID-19 and to explore whether obesity mediates this association. METHODS: We obtained instrumental variables strongly correlated to air pollutants [PM2.5, nitrogen dioxide (NO(2)) and nitrogen oxides (NOx)], 9 obesity-related traits (abdominal subcutaneous adipose tissue volume, waist-to-hip ratio, body mass index, hip circumference, waist circumference, obesity class 1-3, visceral adipose tissue volume), and COVID-19 phenotypes (susceptibility, hospitalization, severity) from public genome-wide association studies. We used clinical and genetic data from different public biological databases and performed analysis by two-sample and two-step Mendelian randomization. RESULTS: PM2.5 genetically correlated with 5 obesity-related traits, which obesity class 1 was most affected (beta = 0.38, 95% CI = 0.11 - 0.65, p = 6.31E-3). NO(2) genetically correlated with 3 obesity-related traits, which obesity class 1 was also most affected (beta = 0.33, 95% CI = 0.055 - 0.61, p = 1.90E-2). NOx genetically correlated with 7 obesity-related traits, which obesity class 3 was most affected (beta = 1.16, 95% CI = 0.42-1.90, p = 2.10E-3). Almost all the obesity-related traits genetically increased the risks for COVID-19 phenotypes. Among them, body mass index, waist circumference, hip circumference, waist-to-hip ratio, and obesity class 1 and 2 mediated the effects of air pollutants on COVID-19 risks (p < 0.05). However, no direct causal relationship was observed between air pollution and COVID-19. CONCLUSION: Our study suggested that exposure to heavy air pollutants causally increased risks for obesity. Besides, obesity causally increased the risks for COVID-19 phenotypes. Attention needs to be paid to weight status for the population who suffer from heavy air pollution, as they are more likely to be susceptible and vulnerable to COVID-19. Frontiers Media S.A. 2023-10-05 /pmc/articles/PMC10585274/ /pubmed/37867515 http://dx.doi.org/10.3389/fendo.2023.1221442 Text en Copyright © 2023 Zhang, Wen, Wan and Luo https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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.
spellingShingle Endocrinology
Zhang, Jingwei
Wen, Jie
Wan, Xin
Luo, Peng
The causal relationship between air pollution, obesity, and COVID-19 risk: a large-scale genetic correlation study
title The causal relationship between air pollution, obesity, and COVID-19 risk: a large-scale genetic correlation study
title_full The causal relationship between air pollution, obesity, and COVID-19 risk: a large-scale genetic correlation study
title_fullStr The causal relationship between air pollution, obesity, and COVID-19 risk: a large-scale genetic correlation study
title_full_unstemmed The causal relationship between air pollution, obesity, and COVID-19 risk: a large-scale genetic correlation study
title_short The causal relationship between air pollution, obesity, and COVID-19 risk: a large-scale genetic correlation study
title_sort causal relationship between air pollution, obesity, and covid-19 risk: a large-scale genetic correlation study
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585274/
https://www.ncbi.nlm.nih.gov/pubmed/37867515
http://dx.doi.org/10.3389/fendo.2023.1221442
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