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将环境空气污染与心理健康联系起来:基于两样本孟德尔随机化和共定位研究的证据

Linking ambient air pollution to mental health: evidence based on the two-sample Mendelian randomization and colocalization study.

作者信息

Fan Huanhuan, Li Junhong, Dou Yikai, Yan Yushun, Wang Min, Yang Xiao, Ma Xiaohong

机构信息

Mental health center and laboratory of psychiatry, West China Hospital, Sichuan University, Chengdu, China.

Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan province, China.

出版信息

Transl Psychiatry. 2024 Dec 18;14(1):489. doi: 10.1038/s41398-024-03196-0.

Abstract

Growing evidence links air pollution, a ubiquitous environmental stressor, to a higher risk of developing mental disorders, raising significant public health concerns. Mental disorders represent a significant global public health challenge which can have a profound impact on individual lives. In this study, we used Mendelian randomization (MR) to investigate the causal relationship between ambient air pollution and four common mental disorders. Genome-wide association study (GWAS) data for ambient air pollution and summary-level GWAS data for four representative mental disorders were obtained from open-access database. Inverse variance weighted (IVW) method with multiplicative random-effects model was the main analysis. Sensitivity analyses were conducted to validate the results. Bayesian colocalization analysis was conducted to explore the potential shared genetic causal variants between specific air pollutants and mental disorders. A suggestive association was observed between political matter (PM) 2.5 and anxiety disorders (OR 2.96, 95%CI 1.29-6.81, p = 0.010). Exposure to nitrogen dioxide (NO2) was significantly linked to an elevated risk of schizophrenia (OR 1.95, 95% CI 1.45-2.63, p = 1.13E-05) and showed a nominal association with an increased risk of bipolar disorder (OR 1.43, 95% CI 1.09-1.86, p = 0.009). A suggestive causal association was detected between nitrogen oxides (NOx) and anxiety disorder (OR 2.90, 95%CI 1.21-6.97, p = 0.017). No significant association was detected between exposure to PM2.5-10, PM10 and mental disorders. No significant horizonal pleiotropy and heterogeneity was found. The colocalization analysis revealed robust evidence supporting the colocalization of NO2 with schizophrenia at SNP rs12203592. Our findings support causal associations between exposure to ambient air pollution, particularly PM2.5, NO, and NOx, and an increased risk of specific mental disorders.

摘要

越来越多的证据表明,空气污染作为一种普遍存在的环境应激源,与患精神障碍的风险增加有关,这引发了重大的公共卫生担忧。精神障碍是一项重大的全球公共卫生挑战,会对个人生活产生深远影响。在本研究中,我们使用孟德尔随机化(MR)方法来研究环境空气污染与四种常见精神障碍之间的因果关系。环境空气污染的全基因组关联研究(GWAS)数据以及四种代表性精神障碍的汇总水平GWAS数据均从开放获取数据库中获得。采用具有乘性随机效应模型的逆方差加权(IVW)方法进行主要分析。进行敏感性分析以验证结果。进行贝叶斯共定位分析以探索特定空气污染物与精神障碍之间潜在的共享遗传因果变异。观察到细颗粒物(PM)2.5与焦虑症之间存在提示性关联(比值比2.96,95%置信区间1.29 - 6.81,p = 0.010)。接触二氧化氮(NO2)与精神分裂症风险升高显著相关(比值比1.95,95%置信区间1.45 - 2.63,p = 1.13×10⁻⁵),并且与双相情感障碍风险增加存在名义上的关联(比值比1.43,95%置信区间1.09 - 1.86,p = 0.009)。检测到氮氧化物(NOx)与焦虑症之间存在提示性因果关联(比值比2.90,95%置信区间1.21 - 6.97,p = 0.017)。未检测到接触粗颗粒物(PM2.5 - 10)、可吸入颗粒物(PM10)与精神障碍之间存在显著关联。未发现显著的水平多效性和异质性。共定位分析揭示了有力证据支持在单核苷酸多态性rs12203592处NO2与精神分裂症的共定位。我们的研究结果支持环境空气污染暴露,尤其是PM2.5、NO和NOx与特定精神障碍风险增加之间的因果关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6bd/11655988/0eed898a0adf/41398_2024_3196_Fig1_HTML.jpg

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