Research Paper Volume 16, Issue 16 pp 11970—11993

DNA methylation-estimated phenotypes, telomere length and risk of ischemic stroke: epigenetic age acceleration of screening and a Mendelian randomization study

Aierpati Maimaiti1, *, , Jianhua Ma2, *, , Chenguang Hao2, , Dengfeng Han2, , Yongxin Wang1, , Zengliang Wang1, , Rena Abudusalamu2, ,

  • 1 Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, China
  • 2 Department of Neurology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830054, China
* Equal contribution

Received: February 10, 2024       Accepted: July 16, 2024       Published: August 16, 2024      

https://doi.org/10.18632/aging.206072
How to Cite

Copyright: © 2024 Maimaiti et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Background: Aging is a complex biological process that may be accelerated in certain pathological conditions. DNA methylation age (DNAmAge) has emerged as a biomarker for biological age, which can differ from chronological age. This research peels back the layers of the relationship between fast-forward aging and ischemic stroke, poking and prodding the potential two-way causal influences between stroke and biological aging indicators.

Methods: We analyzed a cohort of ischemic stroke patients, comparing DNAmAge with chronological age to measure age acceleration. We assessed variations in age acceleration among stroke subtypes and between sexes. Using Mendelian randomization, we examined the causal links between stroke, aging biomarkers like telomere length, and age acceleration's effect on stroke risk.

Results: Our investigation reveals a pronounced association between ischemic stroke and age acceleration, most notably in patients with cardioembolic strokes, who exhibited a striking median difference of 9 years between DNAmAge and chronological age. Furthermore, age acceleration differed significantly across stroke subtypes and was higher in women than in men. In terms of causality, MR analysis indicated a modest negative effect of stroke on telomere length, but no causal effect of age phenotypes on stroke or its subtypes. However, some indication of a potential causal effect of ischemic stroke on PhenoAge acceleration was observed.

Conclusion: The study provides insight into the relationship between DNAmAge and ischemic stroke, particularly cardioembolic stroke, and suggests possible gender differences. These insights carry profound clinical significance and set stage for future investigations into the entwined pathways of stroke and accelerated aging.

Abbreviations

MR: Mendelian randomization; SNPs: Single nucleotide polymorphisms; IS: Ischemic stroke; DNAm: DNA methylation; CpG: Cytosine-phosphor-guanine; PAI-1: Fibrin stimulation inhibitor 1; GWAS: Genome-wide association studies; GEO: Gene Expression Omnibus; DNAm age: DNA methylation age; LAS: Large-artery atherosclerotic stroke; CES: Cardioembolic stroke; SVS: Small-vessel disease; LD: Linkage disequilibrium; IVW: Inverse variance weighted.