Wang Qun, Cao Yuan, Jia Lianqun
Key Laboratory of Ministry of Education for TCM Viscera-State Theory and Applications, Ministry of Education of China, Liaoning University of Traditional Chinese Medicine, 79 Chongshan Road, Huanggu District, Shenyang, 110847, Liaoning Province, China.
Hereditas. 2025 Feb 1;162(1):13. doi: 10.1186/s41065-025-00367-x.
Considerable attention has been devoted to investigating the association between lipid metabolites and cardiovascular diseases, particularly coronary atherosclerosis.
A two-sample MR framework was used to investigate the relationship between lipid metabolites and the risk of coronary atherosclerosis. Two GWAS datasets were examined to take intersections of SNPs from 51,589 cases and 343,079 controls, and 14,334 cases and 346,860 controls to determine genetic susceptibility to coronary atherosclerosis. Random-effects inverse variance weighted (IVW) MR analyses were performed by a series of sensitivity assessments to measure the robustness of our findings and to detect any violations of MR assumptions.
Through IVW, MR-Egger and weighted median regression methods, we inferred that these six lipid metabolites: cholesterol levels, sterol ester (27:1/18:2) levels, triacylglycerol (52:4) levels, triacylglycerol (52:5) levels, diacylglycerol (18:1_18.2) levels, triacylglycerol (53:4), could directly impact the development of atherosclerosis.
In conclusion, our study comprehensively illustrates a causal relationship between lipid metabolites and the risk of coronary atherosclerosis. Furthermore, cholesterol levels, sterol ester (27:1/18:2) levels, triacylglycerol (52:4) levels, triacylglycerol (52:5) levels, diacylglycerol (18:1_18.2) levels, and triacylglycerol (53:4) levels are positively correlated with the risk of coronary atherosclerosis. These six lipid metabolites have the potential as new predictors of the risk of atherosclerosis, providing new insights into the treatment and prevention of cardiovascular diseases.
脂质代谢物与心血管疾病，尤其是冠状动脉粥样硬化之间的关联已受到广泛关注。
采用两样本孟德尔随机化（MR）框架研究脂质代谢物与冠状动脉粥样硬化风险之间的关系。检查了两个全基因组关联研究（GWAS）数据集，以获取来自51589例病例和343079例对照，以及14334例病例和346860例对照的单核苷酸多态性（SNP）交集，以确定冠状动脉粥样硬化的遗传易感性。通过一系列敏感性评估进行随机效应逆方差加权（IVW）MR分析，以衡量我们研究结果的稳健性并检测是否违反MR假设。
通过IVW、MR-Egger和加权中位数回归方法，我们推断这六种脂质代谢物：胆固醇水平、甾醇酯（27:1/18:2）水平、三酰甘油（52:4）水平、三酰甘油（52:5）水平、二酰甘油（18:1_18.2）水平、三酰甘油（53:4），可直接影响动脉粥样硬化的发展。
总之，我们的研究全面阐述了脂质代谢物与冠状动脉粥样硬化风险之间的因果关系。此外，胆固醇水平、甾醇酯（27:1/18:2）水平、三酰甘油（52:4）水平、三酰甘油（52:5）水平、二酰甘油（18:1_18.2）水平和三酰甘油（53:4）水平与冠状动脉粥样硬化风险呈正相关。这六种脂质代谢物有潜力成为动脉粥样硬化风险的新预测指标，为心血管疾病的治疗和预防提供新的见解。
