The causal association between circulating metabolites and Alzheimer's disease: a systematic review and meta-analysis of Mendelian randomization studies.
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引用次数: 0
Abstract
Introduction/objective: Some Mendelian randomization (MR) studies have found that there may be a genetic causal relationship between circulating metabolites and Alzheimer 's disease (AD), but the strength of evidence and the direction of association are not always consistent. In this study, a systematic review and meta-analysis of all the literature using MR methods to study the causal relationship between metabolites and AD was conducted to enhance the robustness and correlation of predicting genetic causality.
Methods: We conducted a comprehensive review of Mendelian randomization (MR) studies which are within the timeframe of all years to 20 December 2023. Circulating metabolites were considered as the exposure factor, and AD served as the outcome. Two researchers, each with relevant professional backgrounds, independently evaluated study quality and extracted data from the selected studies. Meta-analysis was carried out using R Studio version 4.3.1.
Results: In total, 30 studies were included, with 13 selected for meta-analysis. The meta-analysis results revealed that genetically predicted high levels of some metabolites may be associated with a reduced risk of AD. (HDL-C: OR = 0.90, 95% CI 0.83-0.97, p = 0.004; Testosterone: OR = 0.93, 95% CI 0.90-0.97, p = 0.001; Male hormones exclude testosterone: OR = 0.85, 95% CI 0.75-0.96, p = 0.007; Glutamine: OR = 0.85, 95% CI 0.81-0.89, p < 0.001) Meanwhile, genetically predicted high LDL-C levels are associated with an increased risk of AD. (LDL-C: OR = 1.52, 95% CI 1.15-2.00, p = 0.003). There is not enough evidence to prove that there is a genetic causal relationship between diabetes and AD. (OR = 1.02, 95% CI 1.00-1.03, p = 0.12).
简介/目的:一些孟德尔随机化(Mendelian randomization, MR)研究发现,循环代谢物与阿尔茨海默病(Alzheimer 's disease, AD)之间可能存在遗传因果关系,但证据强度和关联方向并不总是一致的。本研究采用MR方法对所有研究代谢物与AD因果关系的文献进行系统回顾和meta分析,以增强预测遗传因果关系的稳健性和相关性。方法:我们对截至2023年12月20日所有年份的孟德尔随机化(MR)研究进行了全面回顾。循环代谢物被认为是暴露因素,AD被认为是结果。两名具有相关专业背景的研究人员独立评估研究质量并从所选研究中提取数据。meta分析使用R Studio 4.3.1版本。结果:共纳入30项研究,其中13项入选meta分析。荟萃分析结果显示,基因预测的一些高水平代谢物可能与阿尔茨海默病风险降低有关。(HDL-C: OR = 0.90, 95% CI 0.83-0.97, p = 0.004;睾酮:OR = 0.93, 95% CI 0.90-0.97, p = 0.001;男性激素排除睾酮:OR = 0.85, 95% CI 0.75-0.96, p = 0.007;谷氨酰胺:OR = 0.85, 95% CI 0.81-0.89, p < 0.001)同时,基因预测高LDL-C水平与AD风险增加相关。(LDL-C: OR = 1.52, 95% CI 1.15-2.00, p = 0.003)。没有足够的证据证明糖尿病和AD之间存在遗传因果关系。(OR = 1.02, 95% CI 1.00-1.03, p = 0.12)。
期刊介绍:
Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to:
metabolomic applications within man, including pre-clinical and clinical
pharmacometabolomics for precision medicine
metabolic profiling and fingerprinting
metabolite target analysis
metabolomic applications within animals, plants and microbes
transcriptomics and proteomics in systems biology
Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.