Wu Yuxuan, Chen Fangying, Zhang Tingting, Miao Mengrong, Zhang Mengxin, Zhang Jiaqiang, Chang Enqiang
Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Department of Anesthesiology and Perioperative Medicine, People's Hospital of Henan University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Metabolomics. 2025 Apr 21;21(3):53. doi: 10.1007/s11306-025-02242-2.
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.
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.
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 : 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).
引言/目的:一些孟德尔随机化(MR)研究发现,循环代谢物与阿尔茨海默病(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。在本研究中,对所有使用MR方法研究代谢物与AD因果关系的文献进行了系统综述和荟萃分析,以增强预测遗传因果关系的稳健性和相关性。
我们对截至2023年12月20日全年时间范围内的孟德尔随机化(MR)研究进行了全面综述。将循环代谢物视为暴露因素,AD作为结局。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。使用R Studio 4.3.1版本进行荟萃分析。
总共纳入了30项研究,其中13项被选入荟萃分析。荟萃分析结果显示,基因预测的某些代谢物高水平可能与AD风险降低相关。(高密度脂蛋白胆固醇:比值比[OR]=0.90,95%置信区间[CI]0.83 - 0.97,p = 0.004;睾酮:OR = 0.93,95% CI 0.90 - 0.97,p = 0.001;雄性激素: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,基因预测的低密度脂蛋白胆固醇(LDL-C)高水平与AD风险增加相关。(LDL-C:OR = 1.52,95% CI 1.15 - 2.00,p = 0.003)。没有足够证据证明糖尿病与AD之间存在遗传因果关系。(OR = 1.02,95% CI 1.00 - 1.03,p = 0.12)