Qian Zonghao, Huang Yuzhen, Zhang Yucong, Yang Ni, Fang Ziwei, Zhang Cuntai, Zhang Le
Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Key Laboratory of Vascular Aging, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Front Genet. 2024 Feb 13;15:1353908. doi: 10.3389/fgene.2024.1353908. eCollection 2024.
Physical weakness and cardiovascular risk increase significantly with age, but the underlying biological mechanisms remain largely unknown. This study aims to reveal the causal effect of circulating metabolites on frailty, sarcopenia and vascular aging related traits and diseases through a two-sample Mendelian Randomization (MR) analysis. Exposures were 486 metabolites analyzed in a genome-wide association study (GWAS), while outcomes included frailty, sarcopenia, arterial stiffness, atherosclerosis, peripheral vascular disease (PAD) and aortic aneurysm. Primary causal estimates were calculated using the inverse-variance weighted (IVW) method. Methods including MR Egger, weighted median, Q-test, and leave-one-out analysis were used for the sensitive analysis. A total of 125 suggestive causative associations between metabolites and outcomes were identified. Seven strong causal links were ultimately identified between six metabolites (kynurenine, pentadecanoate (15:0), 1-arachidonoylglycerophosphocholine, androsterone sulfate, glycine and mannose) and three diseases (sarcopenia, PAD and atherosclerosis). Besides, metabolic pathway analysis identified 13 significant metabolic pathways in 6 age-related diseases. Furthermore, the metabolite-gene interaction networks were constructed. Our research suggested new evidence of the relationship between identified metabolites and 6 age-related diseases, which may hold promise as valuable biomarkers.
身体虚弱和心血管风险会随着年龄的增长而显著增加,但潜在的生物学机制在很大程度上仍不为人知。本研究旨在通过两样本孟德尔随机化(MR)分析揭示循环代谢物对衰弱、肌肉减少症以及与血管衰老相关的性状和疾病的因果效应。暴露因素为在全基因组关联研究(GWAS)中分析的486种代谢物,而结局包括衰弱、肌肉减少症、动脉僵硬度、动脉粥样硬化、外周血管疾病(PAD)和主动脉瘤。使用逆方差加权(IVW)方法计算主要因果估计值。采用包括MR Egger、加权中位数、Q检验和留一法分析在内的方法进行敏感性分析。共确定了代谢物与结局之间125个具有提示性的因果关联。最终在六种代谢物(犬尿氨酸、十五烷酸(15:0)、1-花生四烯酰甘油磷酸胆碱、硫酸雄甾酮、甘氨酸和甘露糖)与三种疾病(肌肉减少症、PAD和动脉粥样硬化)之间确定了七个强因果联系。此外,代谢途径分析在六种与年龄相关的疾病中确定了13条显著的代谢途径。此外,构建了代谢物-基因相互作用网络。我们的研究为已确定的代谢物与六种与年龄相关的疾病之间的关系提供了新证据,这些代谢物有望成为有价值的生物标志物。