Investigation of the Causal Association Between Biological Aging Indicators and Vascular Disease Through Two-Sample Mendelian Randomization Analysis.

IF 2
Hao Yan, Wei Shan, Hui Hui, Qian Xia
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Abstract

ObjectiveThis study used two-sample Mendelian Randomization to investigate the causal link between multiple biological aging indicators and vascular disease.MethodsSummary genetic data was obtained from genome-wide association studies (GWAS) focusing on aging-related exposures and various vascular disease outcomes. The exposures included granulocyte proportions, PAI-1 (plasminogen activator inhibitor-1), telomere lengths, and the Frailty Index. The primary analysis employed the Inverse Variance Weighted (IVW) method to estimate causal relationships, supported by MR-Egger, weighted median, and weighted mode methods. Sensitivity analyses, including Cochran's Q test, MR-Egger regression, leave-one-out test, and the MR Pleiotropy Residual Sum and Outlier (MR-PRESSO) test, were conducted to evaluate heterogeneity and pleiotropy.ResultsThe analysis revealed distinct pathways after sensitivity adjustments. A higher genetically predicted Frailty Index was associated with an increased risk of abdominal aortic aneurysm (OR=2.5935, 95% CI: 1.3936-4.8268, P=0.0026, false discovery rate (FDR)=0.0475), atherosclerosis excluding cerebral and coronary sclerosis (OR=2.0262, 95% CI:1.5179-2.705, P=1.66×10-6, FDR=1×10-4), and arterial thromboembolic events (OR = 4.0306, 95% CI: 1.7133-9.4818, P = 0.0014, FDR = 0.0337). Conversely, longer telomere length demonstrated a strong, specific protective effect against abdominal aortic aneurysm (OR=0.5008, 95% CI:0.4111-0.6100, P=6.42×10-12, FDR=9.25×10-10), indicating that shorter telomere length is associated with an increased risk of AAA. Furthermore, a lower granulocyte proportion was causally linked to an increased risk of thoracic aortic aneurysm (OR=0.0181, 95% CI: 0.0014-0.2376, P=0.0023, FDR=0.0465).ConclusionThis study identifies three genetic pathways linking biological aging to vascular disease, offering new molecular targets for its prevention and treatment.

通过双样本孟德尔随机化分析研究生物衰老指标与血管疾病的因果关系。
目的采用双样本孟德尔随机化方法,探讨多种生物衰老指标与血管疾病的因果关系。方法从全基因组关联研究(GWAS)中总结遗传数据,重点关注衰老相关暴露和各种血管疾病结局。暴露包括粒细胞比例、PAI-1(纤溶酶原激活物抑制剂-1)、端粒长度和脆弱指数。初步分析采用反方差加权(IVW)方法来估计因果关系,并采用MR-Egger、加权中位数和加权模式方法。进行敏感性分析,包括科克伦Q检验、MR- egger回归、留一检验和MR多效性残差和异常值(MR- presso)检验,以评估异质性和多效性。结果灵敏度调整后,分析显示出不同的通路。较高的遗传预测脆性指数与腹主动脉瘤(OR=2.5935, 95% CI: 1.3936-4.8268, P=0.0026,错误发现率(FDR)=0.0475)、动脉粥样硬化(不包括脑和冠状动脉硬化)(OR=2.0262, 95% CI:1.5179-2.705, P=1.66×10-6, FDR=1×10-4)和动脉血栓栓塞事件(OR= 4.0306, 95% CI: 1.7133-9.4818, P= 0.0014, FDR= 0.0337)的风险增加相关。相反,较长的端粒长度对腹主动脉瘤具有很强的特异性保护作用(OR=0.5008, 95% CI:0.4111-0.6100, P=6.42×10-12, FDR=9.25×10-10),表明较短的端粒长度与AAA风险增加相关。此外,较低的粒细胞比例与胸主动脉瘤风险增加有因果关系(OR=0.0181, 95% CI: 0.0014-0.2376, P=0.0023, FDR=0.0465)。结论本研究确定了生物衰老与血管疾病的3条遗传通路,为血管疾病的防治提供了新的分子靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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