TY - JOUR
T1 - Causal association between particulate matter 2.5 and Alzheimer’s disease
T2 - a Mendelian randomization study
AU - Dang, Meijuan
AU - Li, Ye
AU - Zhao, Lili
AU - Li, Tao
AU - Lu, Ziwei
AU - Lu, Jialiang
AU - Feng, Yuxuan
AU - Yang, Yang
AU - Li, Fangcun
AU - Tang, Fan
AU - Wang, Xiaoya
AU - Jian, Yating
AU - Wang, Heying
AU - Zhang, Lei
AU - Fan, Hong
AU - Zhang, Guilian
N1 - Publisher Copyright:
Copyright © 2024 Dang, Li, Zhao, Li, Lu, Lu, Feng, Yang, Li, Tang, Wang, Jian, Wang, Zhang, Fan and Zhang.
PY - 2024
Y1 - 2024
N2 - Background: Although epidemiological evidence implies a link between exposure to particulate matter (PM) and Alzheimer’s disease (AD), establishing causality remains a complex endeavor. In the present study, we used Mendelian randomization (MR) as a robust analytical approach to explore the potential causal relationship between PM exposure and AD risk. We also explored the potential associations between PM exposure and other neurodegenerative diseases. Methods: Drawing on extensive genome-wide association studies related to PM exposure, we identified the instrumental variables linked to individual susceptibility to PM. Using summary statistics from five distinct neurodegenerative diseases, we conducted two-sample MR analyses to gauge the causal impact of PM on the risk of developing these diseases. Sensitivity analyses were undertaken to evaluate the robustness of our findings. Additionally, we executed multivariable MR (MVMR) to validate the significant causal associations identified in the two-sample MR analyses, by adjusting for potential confounding risk factors. Results: Our MR analysis identified a notable association between genetically predicted PM2.5 (PM with a diameter of 2.5 μm or less) exposure and an elevated risk of AD (odds ratio, 2.160; 95% confidence interval, 1.481 to 3.149; p < 0.001). A sensitivity analysis supported the robustness of the observed association, thus alleviating concerns related to pleiotropy. No discernible causal relationship was identified between PM and any other neurodegenerative diseases. MVMR analyses—adjusting for smoking, alcohol use, education, stroke, hearing loss, depression, and hypertension—confirmed a persistent causal relationship between PM2.5 and AD. Sensitivity analyses, including MR-Egger and weighted median analyses, also supported this causal association. Conclusion: The present MR study provides evidence to support a plausible causal connection between PM2.5 exposure and AD. The results emphasize the importance of contemplating air quality interventions as a public health strategy for reducing AD risk.
AB - Background: Although epidemiological evidence implies a link between exposure to particulate matter (PM) and Alzheimer’s disease (AD), establishing causality remains a complex endeavor. In the present study, we used Mendelian randomization (MR) as a robust analytical approach to explore the potential causal relationship between PM exposure and AD risk. We also explored the potential associations between PM exposure and other neurodegenerative diseases. Methods: Drawing on extensive genome-wide association studies related to PM exposure, we identified the instrumental variables linked to individual susceptibility to PM. Using summary statistics from five distinct neurodegenerative diseases, we conducted two-sample MR analyses to gauge the causal impact of PM on the risk of developing these diseases. Sensitivity analyses were undertaken to evaluate the robustness of our findings. Additionally, we executed multivariable MR (MVMR) to validate the significant causal associations identified in the two-sample MR analyses, by adjusting for potential confounding risk factors. Results: Our MR analysis identified a notable association between genetically predicted PM2.5 (PM with a diameter of 2.5 μm or less) exposure and an elevated risk of AD (odds ratio, 2.160; 95% confidence interval, 1.481 to 3.149; p < 0.001). A sensitivity analysis supported the robustness of the observed association, thus alleviating concerns related to pleiotropy. No discernible causal relationship was identified between PM and any other neurodegenerative diseases. MVMR analyses—adjusting for smoking, alcohol use, education, stroke, hearing loss, depression, and hypertension—confirmed a persistent causal relationship between PM2.5 and AD. Sensitivity analyses, including MR-Egger and weighted median analyses, also supported this causal association. Conclusion: The present MR study provides evidence to support a plausible causal connection between PM2.5 exposure and AD. The results emphasize the importance of contemplating air quality interventions as a public health strategy for reducing AD risk.
KW - Alzheimer’s disease
KW - Mendelian randomization
KW - air pollution
KW - neurodegenerative diseases
KW - particulate matter
UR - https://www.scopus.com/pages/publications/85195660852
U2 - 10.3389/fpubh.2024.1343915
DO - 10.3389/fpubh.2024.1343915
M3 - 文章
C2 - 38873321
AN - SCOPUS:85195660852
SN - 2296-2565
VL - 12
JO - Frontiers in Public Health
JF - Frontiers in Public Health
M1 - 1343915
ER -