TY - JOUR
T1 - Accelerated biological aging based on DNA methylation clocks is a predictor of stroke occurrence
T2 - a systematic review and meta-analysis
AU - Feng, Jiacai
AU - Huang, Xingyu
AU - Wu, Rongqing
AU - Ding, Guohui
AU - Liu, Ming
AU - Deng, Renli
N1 - Publisher Copyright:
Copyright © 2025 Feng, Huang, Wu, Ding, Liu and Deng.
PY - 2025
Y1 - 2025
N2 - Background: Although traditional vascular risk factors, such as hypertension and diabetes, are incorporated into stroke risk prediction models, a significant proportion of stroke events remain unexplained by these models. Increasing evidence suggests that accelerated biological aging, as measured by DNA methylation clocks, may reflect reduced organ function and heightened susceptibility to disease. However, the relationship between epigenetic age acceleration (EAA) and stroke risk remains poorly understood, with limited comprehensive synthesis of the available evidence. Methods: We conducted a systematic search of PubMed, Embase, Web of Science, and Cochrane Library databases (up to January 10, 2025) for observational studies examining the relationship between DNA methylation-derived EAA and stroke risk. The study protocol was registered with PROSPERO (CRD420251010621). Results: Thirteen studies met the inclusion criteria. Random-effects meta-analysis revealed a significant positive association between accelerated biological aging and stroke risk (OR = 1.16, 95% CI 1.13–1.19, I2 = 98.9%, p < 0.001). Stratified analysis by stroke event demonstrated a stronger association with incident stroke (OR = 1.28, 95% CI 1.25–1.35, I2 = 92.6%, p = 0.001) compared to stroke recurrence (OR = 1.11, 95% CI 1.06–1.16, I2 = 63.6%, p = 0.041). Sensitivity analyses confirmed the robustness of these findings. Conclusion: DNA methylation-derived measures of accelerated biological aging are robust predictors of stroke. These findings provide new insights into stroke risk assessment and emphasize potential biomarkers for early detection and prevention. Further large-scale prospective studies are needed to validate these associations and examine the role of additional modifying factors.
AB - Background: Although traditional vascular risk factors, such as hypertension and diabetes, are incorporated into stroke risk prediction models, a significant proportion of stroke events remain unexplained by these models. Increasing evidence suggests that accelerated biological aging, as measured by DNA methylation clocks, may reflect reduced organ function and heightened susceptibility to disease. However, the relationship between epigenetic age acceleration (EAA) and stroke risk remains poorly understood, with limited comprehensive synthesis of the available evidence. Methods: We conducted a systematic search of PubMed, Embase, Web of Science, and Cochrane Library databases (up to January 10, 2025) for observational studies examining the relationship between DNA methylation-derived EAA and stroke risk. The study protocol was registered with PROSPERO (CRD420251010621). Results: Thirteen studies met the inclusion criteria. Random-effects meta-analysis revealed a significant positive association between accelerated biological aging and stroke risk (OR = 1.16, 95% CI 1.13–1.19, I2 = 98.9%, p < 0.001). Stratified analysis by stroke event demonstrated a stronger association with incident stroke (OR = 1.28, 95% CI 1.25–1.35, I2 = 92.6%, p = 0.001) compared to stroke recurrence (OR = 1.11, 95% CI 1.06–1.16, I2 = 63.6%, p = 0.041). Sensitivity analyses confirmed the robustness of these findings. Conclusion: DNA methylation-derived measures of accelerated biological aging are robust predictors of stroke. These findings provide new insights into stroke risk assessment and emphasize potential biomarkers for early detection and prevention. Further large-scale prospective studies are needed to validate these associations and examine the role of additional modifying factors.
KW - biological age
KW - DNA methylation
KW - epigenetic age acceleration
KW - meta-analysis
KW - stroke
UR - https://www.scopus.com/pages/publications/105022619977
U2 - 10.3389/fneur.2025.1640853
DO - 10.3389/fneur.2025.1640853
M3 - Review article
AN - SCOPUS:105022619977
SN - 1664-2295
VL - 16
JO - Frontiers in Neurology
JF - Frontiers in Neurology
M1 - 1640853
ER -