Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China.
Front Endocrinol (Lausanne). 2023 Oct 5;14:1221442. doi: 10.3389/fendo.2023.1221442. eCollection 2023.
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.
We obtained instrumental variables strongly correlated to air pollutants [PM2.5, nitrogen dioxide (NO) 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.
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, = 6.31E-3). NO genetically correlated with 3 obesity-related traits, which obesity class 1 was also most affected (beta = 0.33, 95% CI = 0.055 - 0.61, = 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, = 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 ( < 0.05). However, no direct causal relationship was observed between air pollution and COVID-19.
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.
观察性证据表明,空气污染是肥胖和 2019 年冠状病毒病(COVID-19)等许多健康问题的重要危险因素,但它们之间的因果关系尚不清楚。本研究旨在探讨空气污染、肥胖与 COVID-19 之间的因果关系,并探讨肥胖是否介导了这种关联。
我们从公开的全基因组关联研究中获得了与空气污染物[细颗粒物(PM2.5)、二氧化氮(NO)和氮氧化物(NOx)]高度相关的工具变量,以及 9 种肥胖相关特征(腹部皮下脂肪组织体积、腰臀比、体重指数、臀围、腰围、肥胖 1-3 级、内脏脂肪组织体积)和 COVID-19 表型(易感性、住院、严重程度)。我们使用来自不同公共生物数据库的临床和遗传数据,并通过两样本和两步孟德尔随机化进行分析。
PM2.5 与 5 种肥胖相关特征呈遗传相关,其中肥胖 1 级受影响最大(β=0.38,95%CI=0.11-0.65, =6.31E-3)。NO 与 3 种肥胖相关特征呈遗传相关,其中肥胖 1 级受影响最大(β=0.33,95%CI=0.055-0.61, =1.90E-2)。NOx 与 7 种肥胖相关特征呈遗传相关,其中肥胖 3 级受影响最大(β=1.16,95%CI=0.42-1.90, =2.10E-3)。几乎所有的肥胖相关特征都增加了 COVID-19 表型的风险。其中,体重指数、腰围、臀围、腰臀比以及肥胖 1 级和 2 级介导了空气污染物对 COVID-19 风险的影响(<0.05)。然而,并未观察到空气污染与 COVID-19 之间存在直接的因果关系。
本研究表明,暴露于重度空气污染会导致肥胖的风险增加。此外,肥胖会增加 COVID-19 表型的风险。对于遭受重度空气污染的人群,需要关注体重状况,因为他们更容易感染 COVID-19,且更易受 COVID-19 的影响。