The association of arterial stiffness index with cerebrovascular and cardiometabolic disease: A Mendelian randomization study

Int J Stroke. 2022 Dec;17(10):1145-1150. doi: 10.1177/17474930211066432. Epub 2022 Jan 4.

Abstract

Background: Arterial stiffness index (ASI) is a potential risk factor for cerebrovascular and cardiometabolic diseases, but the causal links between them are inconclusive. The aim is to evaluate the causal effects of ASI on cerebrovascular and cardiometabolic diseases by Mendelian randomization (MR).

Methods: Two-sample MR analysis was performed to infer causal links. Genetic variants significantly associated with ASI were extracted. The inverse variance weighted method was used for estimating the effects. Sensitivity analysis was performed to test heterogeneity or pleiotropy.

Results: MR analysis indicated an effect of genetically predicted ASI on the risk of ischemic stroke (IS) of all causes (OR = 1.894, 95% CI 1.210-2.965, p = 0.005). No links were identified between genetically predicted ASI and other cerebrovascular or cardiometabolic diseases (all p > 0.05). Subgroup analysis of IS etiologies found a suggestive association between genetically predicted ASI and large artery atherosclerosis stroke (LAS) (OR = 3.726, 95% CI 1.230-11.286, p = 0.020). There were no effects of ASI on IS due to cardioembolism or small vessel occlusion.

Conclusion: The current MR analysis suggested that genetically predicted ASI was associated with higher risk of IS of all causes. The results and the underlying pathways or mechanisms between ASI and IS needs further investigation.

Keywords: Arterial stiffness index; cardiometabolic disease; cerebrovascular disease; ischemic stroke; large artery atherosclerosis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Ischemic Stroke*
  • Mendelian Randomization Analysis
  • Polymorphism, Single Nucleotide
  • Stroke* / epidemiology
  • Stroke* / genetics
  • Vascular Stiffness* / genetics