肌萎缩侧索硬化
危险系数
体质指数
医学
混淆
代谢综合征
前瞻性队列研究
内分泌学
比例危险模型
生理学
胃肠病学
内科学
置信区间
疾病
肥胖
作者
Junwei Zhang,Wen Cao,Jiali Xie,Chunyang Pang,Lingfei Gao,Luyi Zhu,Yaojia Li,Huan Yu,Lihuai Du,Dongsheng Fan,Binbin Deng
摘要
Objective Although metabolic abnormalities are implicated in the etiology of neurodegenerative diseases, their role in the development of amyotrophic lateral sclerosis (ALS) remains a subject of controversy. We aimed to identify the association between metabolic syndrome (MetS) and the risk of ALS. Methods This study included 395,987 participants from the UK Biobank to investigate the relationship between MetS and ALS. Cox regression model was used to estimate hazard ratios (HR). Stratified analyses were performed based on gender, body mass index (BMI), smoking status, and education level. Mediation analysis was conducted to explore potential mechanisms. Results In this study, a total of 539 cases of ALS were recorded after a median follow‐up of 13.7 years. Patients with MetS (defined harmonized) had a higher risk of developing ALS after adjusting for confounding factors (HR: 1.50, 95% CI: 1.19–1.89). Specifically, hypertension and high triglycerides were linked to a higher risk of ALS (HR: 1.53, 95% CI: 1.19–1.95; HR: 1.31, 95% CI: 1.06–1.61, respectively). Moreover, the quantity of metabolic abnormalities showed significant results. Stratified analysis revealed that these associations are particularly significant in individuals with a BMI <25. These findings remained stable after sensitivity analysis. Notably, mediation analysis identified potential metabolites and metabolomic mediators, including alkaline phosphatase, cystatin C, γ‐glutamyl transferase, saturated fatty acids to total fatty acids percentage, and omega‐6 fatty acids to omega‐3 fatty acids ratio. Interpretation MetS exhibits a robust association with an increased susceptibility to ALS, particularly in individuals with a lower BMI. Furthermore, metabolites and metabolomics, as potential mediators, provide invaluable insights into the intricate biological mechanisms. ANN NEUROL 2024;96:788–801
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