Causal relationship between gout and Alzheimer's disease： a two-sample Mendelian randomization analysis
10.11886/scjsws20240715001
- VernacularTitle:痛风与阿尔茨海默病的因果关系：一项双样本孟德尔随机化分析
- Author:
Chuijia KONG
1
;
Ying ZHANG
2
;
Zhenkun TAN
1
;
Junjiao PING
2
;
Haibo ZHANG
2
;
Jie ZHANG
2
;
Jiali LUO
2
;
Xinxia LIU
1
Author Information
1. Guangdong Pharmaceutical University， Guangzhou 510006， China
2. Zhongshan Third People's Hospital， Zhongshan 528451， China
- Publication Type:Journal Article
- Keywords:
Mendelian randomization analysis;
Gout;
Alzheimer's disease;
Causality
- From:
Sichuan Mental Health
2025;38(2):115-122
- CountryChina
- Language:Chinese
-
Abstract:
BackgroundDementia seriously affects the quality of life and lifespan of elderly people， with Alzheimer's disease （AD） being the most common type of dementia. Previous studies have suggested that gout may reduce the risk of developing AD， but the causal relationship between the two still requires further research. ObjectiveTo investigate the potential causal relationship between gout and AD through a two-sample Mendelian randomization （MR） analysis， so as to provide references for the prevention and treatment of AD. MethodsData from Genome-Wide Association Studies （GWAS） extracted in 2024 were analyzed， using pooled data on gout （6 810 cases in the case group and 477 788 cases in the control group） published by UK Biobank in 2021 as the exposure variable， and data on AD （3 899 cases in the case group and 214 893 cases in the control group） published by FinnGen in the same year as the outcome variable. The inverse-variance weighted， MR-Egger regression， weighted median estimation， simple model and weighted model were used to analyze the potential causal relationship between gout and AD. Pleiotropic effects were assessed using MR-Egger regression. Heterogeneity assessment was conducted using Cochran's Q test. The leave-one-out analysis was carried out for sensitivity analysis. And a funnel plot was drawn to detect potential publication bias. ResultsThe inverse-variance weighted analysis demonstrated a negative causal relationship between gout and AD （OR=0.004， 95% CI： 0~0.700， P<0.05）. The plot resembled a symmetrical inversed funnel， indicating the absence of publication bias. No heterogeneity was detected by Cochran's Q test. The MR-Egger regression indicated no significant horizontal pleiotropy. Concerning the reverse directions， no significant associations between AD and gout were noted. ConclusionThere is a negative causal relationship between gout and AD， with gout potentially reducing the risk of developing AD. ［Funded by The Third Batch of Social Welfare and Basic Research Projects （Medical and Health） of Zhongshan City in 2022 （number， 2022B3017）］
