Relationship of urate-lowering drugs with cognition and dementia: A Mendelian randomization and observational study

孟德尔随机化 观察研究 痴呆 认知 医学 痛风 心理学 精神科 内科学 遗传学 疾病 生物 遗传变异 基因 基因型
作者
Cuilv Liang,Yaping Chen,Peihong Wang,Yin Zhang
出处
期刊:Archives of Gerontology and Geriatrics [Elsevier BV]
卷期号:129: 105655-105655 被引量:3
标识
DOI:10.1016/j.archger.2024.105655
摘要

Prior studies have presented paradoxical results regarding the association of uric acid-lowering drugs (ULDs) therapy with cognition and dementia. We aimed to explore this correlation. In this observational study, we extracted and analyzed the data from the National Health and Nutrition Examination Survey (NHANES) database and the FDA Adverse Event Reporting System (FAERS) database to investigate the association of ULDs with cognitive function and dementia. Two-simple Mendelian randomization (MR) and multivariable MR (MVMR) analyses were conducted to evaluate the causal associations of ULDs for all common types of dementia, including Alzheimer's disease (AD), vascular dementia (VD), frontotemporal dementia (FTD), and dementia with Lewy bodies (DLB). In the NHANES database, regardless of whether ULDs were included only or adjusted for covariates, the linear regression models did not find a correlation between ULDs and three cognitive tests (all p > 0.05). In the FAERS database, the dementia signal in ULDs lost significance after stepwise constraints (the lower limit of proportional reporting ratio lower than 1). In the two-sample MR analysis, allopurinol was associated with an increased risk of VD (OR = 123.747, p = 0.002), and a positive causal relationship was found between uricosuric drugs and AD (OR = 1.003, p = 0.003). However, the significance disappeared after adjusting for risk factors of dementia (p > 0.05). This study indicates that ULDs may not be related to an increase or decrease risk of cognition function and dementia, including all common types of dementia (AD, VD, FTD, and DLB).
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
在水一方应助申屠采纳,获得10
1秒前
自然白安发布了新的文献求助10
2秒前
2秒前
molihuakai应助Avery采纳,获得10
3秒前
4秒前
嗯哼完成签到,获得积分10
4秒前
NexusExplorer应助晨曦采纳,获得10
5秒前
科研通AI6.1应助深情傲柔采纳,获得10
5秒前
陌未茗完成签到 ,获得积分10
6秒前
7秒前
8秒前
今晚雨很大完成签到,获得积分10
9秒前
平常寒烟发布了新的文献求助10
10秒前
10秒前
12秒前
申屠发布了新的文献求助10
12秒前
16秒前
ww完成签到,获得积分10
16秒前
why完成签到,获得积分10
17秒前
kk关闭了kk文献求助
18秒前
19秒前
bkagyin应助li采纳,获得30
19秒前
1111发布了新的文献求助10
19秒前
李爱国应助平常寒烟采纳,获得10
21秒前
22秒前
23秒前
可爱的函函应助马里奥采纳,获得10
24秒前
范宇航完成签到 ,获得积分10
25秒前
李健的粉丝团团长应助lw采纳,获得10
25秒前
25秒前
25秒前
believer完成签到,获得积分10
26秒前
唉呀发布了新的文献求助10
27秒前
29秒前
nanishard发布了新的文献求助10
31秒前
32秒前
杨武天一发布了新的文献求助20
32秒前
34秒前
35秒前
高分求助中
Signals, Systems, and Signal Processing 610
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics,2025 500
Circular Polar Constellations Providing Continuous Single or Multiple Coverage Above a Specified Latitude 400
Burger's Medicinal Chemistry and Drug Discovery 400
Probability and Stochastic Processes 333
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6746669
求助须知:如何正确求助?哪些是违规求助? 8476600
关于积分的说明 18079562
捐赠科研通 6019390
什么是DOI,文献DOI怎么找? 3005155
邀请新用户注册赠送积分活动 1981925
关于科研通互助平台的介绍 1948655