Mendelian Randomization Study of the Causal Relationship between PM2.5 and Neurodegenerative Diseases

Background: In recent years, a large number of studies have evaluated the relationship between particulate matter 2.5 (PM2.5) and the incidence rate and mortality of neurodegenerative diseases (NDDs), but the conclusion is controversial. Methods: The publicly available statistical data from genome-wide association studies were used for two sample MR. Inverse variance weighted is used as the main analysis, MR Egger regression, maximum likelihood, simple median, and weighted median are used for supplementary validation. Results: MR analysis results indicate that for every standard deviation increase in PM2.5 exposure, the risk of Alzheimer's disease (AD) increases by 41% (95% CI: 1.10~1.82, P=0.008). However, there is no causal association between PM2.5 and NDDs such as Parkinson's disease, amyotrophic lateral sclerosis, multiple sclerosis, and Dementia with Lewy bodies. Sensitivity analysis did not detect heterogeneity and pleiotropy, indicating that the analysis results are robust. Conclusion: There is a causal relationship between PM2.5 and the risk of AD, and reducing PM2.5 exposure may be of great significance for the prevention of AD.

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Publication Details

Journal
Journal of Clinical Medicine Research
Published
2024-10-24
DOI
https://doi.org/10.32629/jcmr.v5i3.2773
Primary Topic
Air Quality and Health Impacts
Type
article
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article

Mendelian Randomization Study of the Causal Relationship between PM2.5 and Neurodegenerative Diseases

Guibin Wang, Xiaohong Liu, Meiyu He
Journal of Clinical Medicine Research
Air Quality and Health Impacts
article

Mendelian Randomization Study of the Causal Relationship between PM2.5 and Neurodegenerative Diseases

Guibin Wang, Xiaohong Liu, Meiyu He
article en

Abstract

Background: In recent years, a large number of studies have evaluated the relationship between particulate matter 2.5 (PM2.5) and the incidence rate and mortality of neurodegenerative diseases (NDDs), but the conclusion is controversial. Methods: The publicly available statistical data from genome-wide association studies were used for two sample MR. Inverse variance weighted is used as the main analysis, MR Egger regression, maximum likelihood, simple median, and weighted median are used for supplementary validation. Results: MR analysis results indicate that for every standard deviation increase in PM2.5 exposure, the risk of Alzheimer's disease (AD) increases by 41% (95% CI: 1.10~1.82, P=0.008). However, there is no causal association between PM2.5 and NDDs such as Parkinson's disease, amyotrophic lateral sclerosis, multiple sclerosis, and Dementia with Lewy bodies. Sensitivity analysis did not detect heterogeneity and pleiotropy, indicating that the analysis results are robust. Conclusion: There is a causal relationship between PM2.5 and the risk of AD, and reducing PM2.5 exposure may be of great significance for the prevention of AD.

Journal of Clinical Medicine ResearchVol. 5(3)
Hunan Normal University (CN), Hunan Provincial People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 74%
Air Quality and Health Impacts
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