Causal associations of ambient particulate matter 10 and Alzheimer’s disease: result from a two-sample multivariable Mendelian randomization study

Introduction Alzheimer’s disease (AD) and ambient particulate matter 10 (PM10) have been associated in epidemiological studies. However, the relationship between PM10 and risk of AD has not been proven to be causal. Thus we used two-sample multivariable Mendelian randomization (MR) to examine this r...

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Main Authors: Zehan Huang, Guodong He, Shuo Sun, Yingqing Feng, Yuqing Huang
Format: Article
Language:English
Published: Termedia Publishing House 2024-10-01
Series:Archives of Medical Science
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Online Access:https://www.archivesofmedicalscience.com/Causal-associations-of-ambient-particulate-matter-10-and-Alzheimer-s-disease-result,185360,0,2.html
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author Zehan Huang
Guodong He
Shuo Sun
Yingqing Feng
Yuqing Huang
author_facet Zehan Huang
Guodong He
Shuo Sun
Yingqing Feng
Yuqing Huang
author_sort Zehan Huang
collection DOAJ
description Introduction Alzheimer’s disease (AD) and ambient particulate matter 10 (PM10) have been associated in epidemiological studies. However, the relationship between PM10 and risk of AD has not been proven to be causal. Thus we used two-sample multivariable Mendelian randomization (MR) to examine this relationship. Material and methods Genome-wide association studies (GWAS) for PM10 from UK Biobank, AD from EBI GWAS and IEU OpenGWAS were used for discovery and replication, respectively. Pooled meta-analysis of the inverse variance weighted (IVW) method was the main method. Sensitivity analyses included MR-Egger regression, weighted median, weighted mode and leave-one-out methods. The multivariable MR model adjusted for education. The MR estimates of causality association were expressed as odds ratios (OR) and corresponding 95% confidence intervals (CI). Results There were in total 17 and 19 genetic variants associated with PM10 in the discovery and replication steps, respectively. In the univariate MR, pooled meta-analysis of genetically predicted PM10 was associated with a 99% increased risk of AD (95% CI: 1.25, 3.15, p = 0.004) per 1 standard deviation (SD) increment of PM10 by IVW, and in the multivariable MR with pooled meta-analysis, we found that each SD increase in PM10 was associated with a 127% increase in the risk of AD (95% CI: 1.33, 3.86, p = 0.002) after accounting for education levels. Conclusions Increased PM10 levels were found to be significantly related to an increased risk of AD. This study provided evidence of genetic prediction of a causal relationship between PM10 and the risk of AD, suggesting that air pollution control may have significant implications for the prevention of AD.
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spelling doaj-art-b061739ffdc34e8e85d8eb0f10a62d3d2025-01-27T10:44:31ZengTermedia Publishing HouseArchives of Medical Science1734-19221896-91512024-10-012051604161810.5114/aoms/185360185360Causal associations of ambient particulate matter 10 and Alzheimer’s disease: result from a two-sample multivariable Mendelian randomization studyZehan Huang0Guodong He1Shuo Sun2Yingqing Feng3Yuqing Huang4Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou 510080, ChinaResearch Department of Medical Sciences, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou 510080, ChinaDepartment of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou 510080, ChinaHypertension Research laboratory, Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou 510080, ChinaHypertension Research laboratory, Department of Cardiology, Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou 510080, ChinaIntroduction Alzheimer’s disease (AD) and ambient particulate matter 10 (PM10) have been associated in epidemiological studies. However, the relationship between PM10 and risk of AD has not been proven to be causal. Thus we used two-sample multivariable Mendelian randomization (MR) to examine this relationship. Material and methods Genome-wide association studies (GWAS) for PM10 from UK Biobank, AD from EBI GWAS and IEU OpenGWAS were used for discovery and replication, respectively. Pooled meta-analysis of the inverse variance weighted (IVW) method was the main method. Sensitivity analyses included MR-Egger regression, weighted median, weighted mode and leave-one-out methods. The multivariable MR model adjusted for education. The MR estimates of causality association were expressed as odds ratios (OR) and corresponding 95% confidence intervals (CI). Results There were in total 17 and 19 genetic variants associated with PM10 in the discovery and replication steps, respectively. In the univariate MR, pooled meta-analysis of genetically predicted PM10 was associated with a 99% increased risk of AD (95% CI: 1.25, 3.15, p = 0.004) per 1 standard deviation (SD) increment of PM10 by IVW, and in the multivariable MR with pooled meta-analysis, we found that each SD increase in PM10 was associated with a 127% increase in the risk of AD (95% CI: 1.33, 3.86, p = 0.002) after accounting for education levels. Conclusions Increased PM10 levels were found to be significantly related to an increased risk of AD. This study provided evidence of genetic prediction of a causal relationship between PM10 and the risk of AD, suggesting that air pollution control may have significant implications for the prevention of AD.https://www.archivesofmedicalscience.com/Causal-associations-of-ambient-particulate-matter-10-and-Alzheimer-s-disease-result,185360,0,2.htmlparticulate matter 10alzheimer’s diseaseair pollutionmendelian randomization
spellingShingle Zehan Huang
Guodong He
Shuo Sun
Yingqing Feng
Yuqing Huang
Causal associations of ambient particulate matter 10 and Alzheimer’s disease: result from a two-sample multivariable Mendelian randomization study
Archives of Medical Science
particulate matter 10
alzheimer’s disease
air pollution
mendelian randomization
title Causal associations of ambient particulate matter 10 and Alzheimer’s disease: result from a two-sample multivariable Mendelian randomization study
title_full Causal associations of ambient particulate matter 10 and Alzheimer’s disease: result from a two-sample multivariable Mendelian randomization study
title_fullStr Causal associations of ambient particulate matter 10 and Alzheimer’s disease: result from a two-sample multivariable Mendelian randomization study
title_full_unstemmed Causal associations of ambient particulate matter 10 and Alzheimer’s disease: result from a two-sample multivariable Mendelian randomization study
title_short Causal associations of ambient particulate matter 10 and Alzheimer’s disease: result from a two-sample multivariable Mendelian randomization study
title_sort causal associations of ambient particulate matter 10 and alzheimer s disease result from a two sample multivariable mendelian randomization study
topic particulate matter 10
alzheimer’s disease
air pollution
mendelian randomization
url https://www.archivesofmedicalscience.com/Causal-associations-of-ambient-particulate-matter-10-and-Alzheimer-s-disease-result,185360,0,2.html
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