付媛媛, 陈杰, 蔡诗媛, 李雪. 支链氨基酸与外周动脉粥样硬化因果关系的孟德尔随机化研究[J]. 上海预防医学, 2023, 35(6): 536-541. DOI: 10.19428/j.cnki.sjpm.2023.22990
引用本文: 付媛媛, 陈杰, 蔡诗媛, 李雪. 支链氨基酸与外周动脉粥样硬化因果关系的孟德尔随机化研究[J]. 上海预防医学, 2023, 35(6): 536-541. DOI: 10.19428/j.cnki.sjpm.2023.22990
FU Yuanyuan, CHEN Jie, CAI Shiyuan, LI Xue. Causal relationship between branched-chain amino acids and peripheral atherosclerosis: a Mendelian randomization study[J]. Shanghai Journal of Preventive Medicine, 2023, 35(6): 536-541. DOI: 10.19428/j.cnki.sjpm.2023.22990
Citation: FU Yuanyuan, CHEN Jie, CAI Shiyuan, LI Xue. Causal relationship between branched-chain amino acids and peripheral atherosclerosis: a Mendelian randomization study[J]. Shanghai Journal of Preventive Medicine, 2023, 35(6): 536-541. DOI: 10.19428/j.cnki.sjpm.2023.22990

支链氨基酸与外周动脉粥样硬化因果关系的孟德尔随机化研究

Causal relationship between branched-chain amino acids and peripheral atherosclerosis: a Mendelian randomization study

  • 摘要:
    目的 采用两样本孟德尔随机化分析的方法,探究循环异亮氨酸、亮氨酸和缬氨酸水平与外周动脉粥样硬化风险的因果关联。
    方法 基于大规模的全基因组关联研究(GWAS)数据库,选用与循环异亮氨酸、亮氨酸和缬氨酸水平密切相关的单核苷酸多态性作为工具变量,对于工具变量≥3个单核苷酸多态性的暴露,采用逆方差加权法(IVW)和加权中位数法(WME)进行两样本孟德尔随机化分析,以评估与外周动脉粥样硬化风险的因果关联,并通过MR⁃Egger回归模型和MR⁃PRESSO法检测工具变量的基因多效性,采用留一法进行敏感性分析。
    结果 对于异亮氨酸,IVW模型显示工具变量间不存在异质性(P=0.715),循环异亮氨酸水平升高与外周动脉粥样硬化风险增加之间存在显著的因果关系,且当循环异亮氨酸水平每增加1个标准差,外周动脉粥样硬化风险升高31%(OR=1.31,95%CI:1.07~1.61)。同样,在WME模型中得出OR(95%CI)为1.33(1.04~1.71)。MR⁃Egger回归模型和MR⁃PRESSO结果均显示工具变量不存在基因多效性(P>0.05)。留一法敏感性分析结果稳健;而Wald ratio模型显示循环亮氨酸、缬氨酸水平与外周动脉粥样硬化风险的因果关联无统计学意义,其OR(95%CI)分别为1.13(0.78~1.63)、1.11(0.82~1.50)。
    结论 循环异亮氨酸水平升高与外周动脉粥样硬化风险增加之间存在显著的因果关联;对于循环亮氨酸和缬氨酸水平与外周动脉粥样硬化的因果关联仍须后续研究进一步验证。

     

    Abstract:
    Objective We conducted a two-sample Mendelian randomization (MR) study to assess the causal relationship between circulating isoleucine, leucine and valine levels and the risk of peripheral atherosclerosis.
    Methods Based on the large-scale genome-wide association study (GWAS) database, single nucleotide polymorphisms (SNPs) closely related to the circulating levels of isoleucine, leucine and valine were identified as instrumental variables (IVs). Two-sample MR analysis applying the inverse variance weighted (IVW) method and the weighted median estimator (WME) method were performed to estimate the causal relationship between the risk of peripheral atherosclerosis and the exposure with more than three SNPs that were available as IVs. The pleiotropy was evaluated by using the MR-Egger regression and MR-PRESSO method, and the leave-one-out method was used in sensitivity analysis.
    Results Four, one and one SNPs were identified as IVs for circulating isoleucine, leucine and valine levels, respectively. For isoleucine, the IVW model demonstrated there was no evidence of heterogeneity among the IVs (P=0.715), and there was a significant causal relationship between the increase of circulating isoleucine level and a higher risk of peripheral atherosclerosis risk. Per every 1 elevated standard deviation (SD) of circulating isoleucine level resulted in increasing 31% of peripheral atherosclerosis risk (OR=1.31, 95%CI: 1.07‒1.61). Similarly, the OR(95%CI) was 1.33 (1.04‒1.71) in the WME model. The MR-Egger regression and MR-PRESSO analysis indicated no evidence of pleiotropy in IVs (all P>0.05). The result of the leave-one-out sensitivity analysis was stable. The Wald ratio model displayed that the causal relationship between circulating leucine and valine levels and the risk of peripheral atherosclerosis was not statistically significant. The OR (95%CI) for leucine and valine was 1.13 (0.78‒1.63) and 1.11 (0.82‒1.50), respectively.
    Conclusion There is a significant causal relationship between the increase of circulating isoleucine level and a higher peripheral atherosclerosis risk. The causal relationships between circulating leucine and valine levels and the risk of peripheral atherosclerosis need to be further confirmed in future studies.

     

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