Su Jia, Yang Xinyu, Yu Yunfeng, Deng Juan, Zhang Guomin, Yu Rong, Wang Yipei
The First Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Medicine (Baltimore). 2025 Jul 4;104(27):e43093. doi: 10.1097/MD.0000000000043093.
The aim of this study was to assess the causal effects of lipidome on senility and the mediated effects of metabolites by Mendelian randomization (MR). Lipidome, metabolites, and senility datasets were acquired in genome-wide association study, and single nucleotide polymorphisms were screened according to the underlying assumptions of MR. Subsequently, inverse variance-weighted was used as the primary method to analyze the causal effect of lipidome on senility and the mediated effect of metabolites. Finally, MR-Egger intercept, Cochran Q, and leave-one-out sensitivity analysis were used to assess horizontal pleiotropy, heterogeneity, and robustness of the results, respectively. The MR analysis showed that phosphatidylcholine (PC) (18:2_0:0) increased genetic susceptibility to senility by reducing X-17690 levels (mediated proportion 7.36%, P = .033); PC (16:0_22:5) (mediated proportion 29.20%, P < .001) and PC (18:0_22:5) (mediated proportion 25.60%, P < .001) increased genetic susceptibility to senility by reducing dimethylglycine levels. Additionally, phosphatidylethanolamine (PE) (18:0_20:4) decreased genetic susceptibility to senility by increasing linoleoyl-arachidonoyl-glycerol (18:2/20:4) [1] levels (mediated proportion 11.30%, P < .001); PE (18:0_20:4) reduced genetic susceptibility to senility by reducing the glucose to N-palmitoyl-sphingosine (d18:1 to 16:0) ratio (mediated proportion 11.20%, P = .002). These results were free of horizontal pleiotropy and heterogeneity and were robust. Our findings revealed 5 pathways for lipidome regulating senility through metabolites. Lipidome components, including PC (18:2_0:0), PC (16:0_22:5), PC (18:0_22:5), and PE (18:0_20:4), as well as metabolites such as X-17690, linoleoyl-arachidonoyl-glycerol (18:2/20:4) [1], dimethylglycine, and glucose to N-palmitoyl-sphingosine (d18:1 to 16:0) ratio, may play an important role in the regulation of senility.
本研究的目的是通过孟德尔随机化(MR)评估脂质组对衰老的因果效应以及代谢物的介导效应。在全基因组关联研究中获取脂质组、代谢物和衰老数据集,并根据MR的基本假设筛选单核苷酸多态性。随后,采用逆方差加权作为主要方法来分析脂质组对衰老的因果效应以及代谢物的介导效应。最后,分别使用MR-Egger截距、Cochran Q和留一法敏感性分析来评估结果的水平多效性、异质性和稳健性。MR分析表明,磷脂酰胆碱(PC)(18:2_0:0)通过降低X-17690水平增加了对衰老的遗传易感性(介导比例7.36%,P = 0.033);PC(16:0_22:5)(介导比例29.20%,P < 0.001)和PC(18:0_22:5)(介导比例25.60%,P < 0.001)通过降低二甲基甘氨酸水平增加了对衰老的遗传易感性。此外,磷脂酰乙醇胺(PE)(18:0_20:4)通过增加亚油酰-花生四烯酰甘油(18:2/20:4)[1]水平降低了对衰老的遗传易感性(介导比例11.30%,P < 0.001);PE(18:0_20:4)通过降低葡萄糖与N-棕榈酰鞘氨醇(d18:1至16:0)的比值降低了对衰老的遗传易感性(介导比例11.20%,P = 0.002)。这些结果不存在水平多效性和异质性,且具有稳健性。我们的研究结果揭示了脂质组通过代谢物调节衰老的5条途径。脂质组成分,包括PC(18:2_0:0)、PC(16:0_22:5)、PC(18:0_22:5)和PE(18:0_20:4),以及诸如X-17690、亚油酰-花生四烯酰甘油(18:2/20:4)[1]、二甲基甘氨酸和葡萄糖与N-棕榈酰鞘氨醇(d18:1至16:0)的比值等代谢物,可能在衰老调节中发挥重要作用。