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空气污染与感染之间的因果关系:两样本孟德尔随机化研究。

Causal relationship between air pollution and infections: a two-sample Mendelian randomization study.

机构信息

Department of Infection Control, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

出版信息

Front Public Health. 2024 Aug 1;12:1409640. doi: 10.3389/fpubh.2024.1409640. eCollection 2024.

Abstract

BACKGROUND

Traditional observational studies exploring the association between air pollution and infections have been limited by small sample sizes and potential confounding factors. To address these limitations, we applied Mendelian randomization (MR) to investigate the potential causal relationships between particulate matter (PM2.5, PM2.5-10, and PM10), nitrogen dioxide, and nitrogen oxide and the risks of infections.

METHODS

Single nucleotide polymorphisms (SNPs) related to air pollution were selected from the genome-wide association study (GWAS) of the UK Biobank. Publicly available summary data for infections were obtained from the FinnGen Biobank and the COVID-19 Host Genetics Initiative. The inverse variance weighted (IVW) meta-analysis was used as the primary method for obtaining the Mendelian randomization (MR) estimates. Complementary analyses were performed using the weighted median method, MR-Egger method, and MR Pleiotropy Residual Sum and Outlier (MR-PRESSO) test.

RESULTS

The fixed-effect IVW estimate showed that PM2.5, PM2.5-10 and Nitrogen oxides were suggestively associated with COVID-19 [for PM2.5: IVW (fe): OR 3.573(1.218,5.288), P = 0.021; for PM2.5-10: IVW (fe): OR 2.940(1.385,6.239), P = 0.005; for Nitrogen oxides, IVW (fe): OR 1.898(1.318,2.472), P = 0.010]. PM2.5, PM2.5-10, PM10, and Nitrogen oxides were suggestively associated with bacterial pneumonia [for PM2.5: IVW(fe): OR 1.720 (1.007, 2.937), P = 0.047; for PM2.5-10: IVW(fe): OR 1.752 (1.111, 2.767), P = 0.016; for PM10: IVW(fe): OR 2.097 (1.045, 4.208), P = 0.037; for Nitrogen oxides, IVW(fe): OR 3.907 (1.209, 5.987), P = 0.023]. Furthermore, Nitrogen dioxide was suggestively associated with the risk of acute upper respiratory infections, while all air pollution were not associated with intestinal infections.

CONCLUSIONS

Our results support a role of related air pollution in the Corona Virus Disease 2019, bacterial pneumonia and acute upper respiratory infections. More work is need for policy formulation to reduce the air pollution and the emission of toxic and of harmful gas.

摘要

背景

传统的观察性研究探索空气污染与感染之间的关系受到样本量小和潜在混杂因素的限制。为了解决这些限制,我们应用孟德尔随机化(MR)来研究颗粒物(PM2.5、PM2.5-10 和 PM10)、二氧化氮和氮氧化物与感染风险之间的潜在因果关系。

方法

从英国生物银行的全基因组关联研究(GWAS)中选择与空气污染相关的单核苷酸多态性(SNP)。从芬兰基因生物库和 COVID-19 宿主遗传研究计划中获得感染的公开可用汇总数据。逆方差加权(IVW)荟萃分析被用作获得孟德尔随机化(MR)估计值的主要方法。使用加权中位数法、MR-Egger 法和 MR 偏倚残差和异常值(MR-PRESSO)检验进行补充分析。

结果

固定效应 IVW 估计表明,PM2.5、PM2.5-10 和氮氧化物与 COVID-19 呈显著相关[对于 PM2.5:IVW(fe):OR 3.573(1.218,5.288),P = 0.021;对于 PM2.5-10:IVW(fe):OR 2.940(1.385,6.239),P = 0.005;对于氮氧化物,IVW(fe):OR 1.898(1.318,2.472),P = 0.010]。PM2.5、PM2.5-10、PM10 和氮氧化物与细菌性肺炎呈显著相关[对于 PM2.5:IVW(fe):OR 1.720(1.007,2.937),P = 0.047;对于 PM2.5-10:IVW(fe):OR 1.752(1.111,2.767),P = 0.016;对于 PM10:IVW(fe):OR 2.097(1.045,4.208),P = 0.037;对于氮氧化物,IVW(fe):OR 3.907(1.209,5.987),P = 0.023]。此外,二氧化氮与急性上呼吸道感染的风险呈显著相关,而所有空气污染与肠道感染均无相关性。

结论

我们的结果支持相关空气污染在 2019 年冠状病毒病、细菌性肺炎和急性上呼吸道感染中的作用。需要进一步的工作来制定政策,以减少空气污染和有毒有害气体的排放。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48e3/11324489/cd167e22add3/fpubh-12-1409640-g0001.jpg

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