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山东大学学报 (医学版) ›› 2025, Vol. 63 ›› Issue (12): 6-16.doi: 10.6040/j.issn.1671-7554.0.2025.0386

• 临床医学 • 上一篇    

20种氨基酸与冠心病的因果关联:孟德尔随机化研究

杨慧敏1,2,龚万里1,2,侯雅琪1,2,吴静2,3,王洋1,2,贺培凤2,于琦1,2   

  1. 1.山西医科大学管理学院, 山西 晋中 030600;2.临床决策研究大数据山西省重点实验室, 山西 太原 030001;3.山西医科大学医学科学院, 山西 晋中 030600
  • 发布日期:2025-12-19
  • 通讯作者: 于琦. E-mail:yuqi@sxmu.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(72474125);山西省基础研究计划(自由探索类)(202303021221132);山西省科技创新人才团队重点项目(202304051001017)

Causal association between 20 amino acids and coronary heart disease: a Mendelian randomization study

YANG Huimin1,2, GONG Wanli1,2, HOU Yaqi1,2, WU Jing2,3, WANG Yang1,2, HE Peifeng2, YU Qi1,2   

  1. 1. School of Management, Shanxi Medical University, Jinzhong 030600, Shanxi, China;
    2. Shanxi Key Laboratory of Big Data for Clinical Decision Research, Taiyuan 030001, Shanxi, China;
    3. Academy of Medical Sciences, Shanxi Medical University, Jinzhong 030600, Shanxi, China
  • Published:2025-12-19

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摘要： 目的 利用孟德尔随机化(Mendelian randomization, MR)方法评估遗传预测的氨基酸水平与冠心病(coronary heart disease, CHD)之间的因果关系。 方法 基于OpenGWAS和FinnGen数据库的公开数据集,从遗传学角度探讨20种氨基酸与CHD的全基因组关联结果。同时利用贝叶斯加权孟德尔随机化(Bayesian weighted Mendelian randomization, BWMR)方法验证相关性,反向MR评估逆向关系。随后,进行敏感性分析减弱异质性和水平多效性的影响。最后,通过多变量孟德尔随机化(multivariate Mendelian randomization, MVMR)方法确定氨基酸对CHD的独立调节作用。 结果 逆方差加权法表明,丙氨酸(OR=1.151,95%CI:1.029~1.288,P=0.014)和谷氨酰胺(OR=1.087,95%CI:1.002~1.179,P=0.044)正向调节CHD的发生发展,而较高甘氨酸的水平(OR:0.921,95%CI:0.881~0.963,P<0.001)与较低CHD风险相关,通过 Bonferroni 校正将整体显著性水平控制在0.05以内。BWMR强化因果关联的可靠性,Cochrans Q检验、MR-Egger截距检验和MR-PRESSO全局检验证明结果稳健(P<0.05)。在反向MR分析中,CHD风险与酪氨酸(OR=1.029,95%CI:1.007~1.052,P=0.010)水平呈正相关。MVMR提示甘氨酸(OR=0.879,95%CI:0.775~0.997,P=0.004)对CHD的独立调节作用。而丙氨酸和谷氨酰胺对CHD的促进作用可能受糖尿病、甘油三酯、C反应蛋白和高血压等因素影响。 结论 丙氨酸、谷氨酰胺和甘氨酸与CHD存在显著的因果关系。同时,揭示遗传预测的较高CHD风险与酪氨酸水平相关。

关键词: 冠心病, 氨基酸, 孟德尔随机化, 因果关系, MVMR分析

Abstract: Objective To evaluate the causal relationship between genetically predicted amino acid levels and coronary heart disease(CHD)using Mendelian randomization(MR)methods. Methods We used publicly available datasets from OpenGWAS and FinnGen databases to investigate genome-wide association results between 20 amino acids and CHD from a genetic perspective. Bayesian weighted Mendelian randomization(BWMR)was employed to verify the associations, while reverse MR was used to assess potential reverse causality. Subsequently, sensitivity analyses were performed to limit the effects of heterogeneity and horizontal pleiotropy. Finally, multivariate Mendelian randomization(MVMR)was applied to determine the independent regulatory effects of amino acids on CHD. Results Inverse variance weighted analysis indicated that alanine(OR=1.151, 95%CI: 1.029-1.288, P=0.014)and glutamine(OR=1.087, 95%CI: 1.002-1.179, P=0.044)positively regulate the development of CHD, while higher levels of glycine(OR=0.921, 95%CI: 0.881-0.963, P<0.001)were associated with lower CHD risk, the overall significance level was controlled at 0.05 using the Bonferroni correction. BWMR strengthened the reliability of these causal associations. Cochrans Q test, MR-Egger intercept test, and MR-PRESSO global test demonstrated the robustness of the results(P<0.05). In the reverse MR analysis, CHD risk was positively correlated with tyrosine levels(OR=1.029, 95%CI: 1.007-1.052, P=0.010). MVMR suggested an independent regulatory effect of glycine on CHD(OR=0.879, 95%CI: 0.775-0.997, P=0.004). The promoting effects of alanine and glutamine on CHD may be influenced by factors such as diabetes, triglycerides, C-reactive protein, and hypertension. Conclusion This study demonstrates a significant causal relationship between alanine, glutamine, glycine, and CHD. Additionally, it reveals that genetically predicted higher CHD risk is associated with tyrosine levels.

Key words: Coronary heart disease, Amino acids, Mendelian randomization, Causality, MVMR analysis

中图分类号: 

  • R514.4
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