Accelerated biological aging, healthy behaviors, and genetic susceptibility with incidence of stroke and its subtypes: A prospective cohort study.

IF 8 1区 医学 Q1 CELL BIOLOGY
Aging Cell Pub Date : 2024-12-04 DOI:10.1111/acel.14427
Xuening Zhang, Hao Zhao, Zilin Li, Xinjie Liu, Yurong Zhang, Ning Yang, Tongchao Zhang, Xiaorong Yang, Ming Lu
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引用次数: 0

Abstract

Stroke risk increases with chronological age, but the relationship with biological age (BA) acceleration is poorly understood. We aimed to examine the association between BA acceleration and incident stroke and its subtypes, explore the modifying effects on genetic susceptibility, and assess how BA acceleration mediates the effect of behavior score. We studied 253,932 UK Biobank participants and computed two BA measures (Klemera-Doubal Method [KDM], Phenotypic Age [PhenoAge]), with BA acceleration calculated by regressing BA on chronological age. The polygenic risk score (PRS) was derived from 87 genetic loci. The behaviors score was based on diet, physical activity, tobacco/nicotine, sleep, and BMI. During a median follow-up of 13.6 years, 5460 strokes, 4337 ischemic stroke (IS), 951 intracerebral hemorrhage (ICH), and 553 subarachnoid hemorrhage (SAH) cases were documented. Adjusting for confounding factors, each standard deviation increase in BA acceleration was associated with higher stroke risk: for KDM-BA acceleration, stroke (HR = 1.28, 95% CI = 1.25-1.32), IS (1.32, 1.28-1.36), ICH (1.15, 1.08-1.23), and SAH (1.16, 1.07-1.27); for PhenoAge acceleration, stroke (1.22, 1.19-1.25), IS (1.26, 1.22-1.29), ICH (1.08, 1.02-1.16), and SAH (1.08, 1.00-1.18). Compared to participants with the lowest PRS and BA acceleration, those with the highest PRS and BA acceleration had the highest stroke risk (KDM-BA acceleration: 2.19, 1.85-2.59; PhenoAge acceleration: 2.03, 1.69-2.42). Additionally, there was an additive interaction between KDM-BA acceleration and PRS. The mediation proportion of BA acceleration in associations of behaviors score with incident stroke and its subtypes ranged from 15.84% to 33.08%. BA acceleration may raise stroke risk, especially in those with high genetic risk. Maintaining healthy behaviors may help mitigate this risk.

加速生物老化、健康行为和遗传易感性与脑卒中及其亚型的发病率:一项前瞻性队列研究
中风风险随年龄增长而增加,但与生物年龄(BA)加速的关系尚不清楚。本研究旨在探讨脑卒中加速与事件卒中及其亚型之间的关系,探讨其对遗传易感性的调节作用,并评估脑卒中加速如何介导行为评分的影响。我们研究了253,932名英国生物银行参与者,并计算了两种BA测量方法(klemera - double Method [KDM], Phenotypic Age [PhenoAge]),并通过将BA与实足年龄回归计算BA加速。多基因风险评分(PRS)来自87个遗传位点。行为评分是基于饮食、身体活动、烟草/尼古丁、睡眠和身体质量指数。在中位13.6年的随访期间,记录了5460例卒中,4337例缺血性卒中(IS), 951例脑出血(ICH)和553例蛛网膜下腔出血(SAH)。校正混杂因素后,BA加速的每个标准差增加与卒中风险增加相关:KDM-BA加速,卒中(HR = 1.28, 95% CI = 1.25-1.32), IS (1.32, 1.28-1.36), ICH(1.15, 1.08-1.23)和SAH (1.16, 1.07-1.27);对于表型加速,中风(1.22,1.19-1.25),IS (1.26, 1.22-1.29), ICH(1.08, 1.02-1.16)和SAH(1.08, 1.00-1.18)。与PRS和BA加速度最低的参与者相比,PRS和BA加速度最高的参与者卒中风险最高(KDM-BA加速度:2.19,1.85-2.59;表型加速:2.03,1.69-2.42)。此外,KDM-BA加速与PRS之间存在加性相互作用。BA加速在行为评分与事件脑卒中及其亚型关联中的中介比例为15.84% ~ 33.08%。脑卒中加速可能会增加中风的风险,尤其是那些有高遗传风险的人。保持健康的生活习惯可能有助于减轻这种风险。
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来源期刊
Aging Cell
Aging Cell Biochemistry, Genetics and Molecular Biology-Cell Biology
自引率
2.60%
发文量
212
期刊介绍: Aging Cell is an Open Access journal that focuses on the core aspects of the biology of aging, encompassing the entire spectrum of geroscience. The journal's content is dedicated to publishing research that uncovers the mechanisms behind the aging process and explores the connections between aging and various age-related diseases. This journal aims to provide a comprehensive understanding of the biological underpinnings of aging and its implications for human health. The journal is widely recognized and its content is abstracted and indexed by numerous databases and services, which facilitates its accessibility and impact in the scientific community. These include: Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) Biological Science Database (ProQuest) CAS: Chemical Abstracts Service (ACS) Embase (Elsevier) InfoTrac (GALE Cengage) Ingenta Select ISI Alerting Services Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) Natural Science Collection (ProQuest) PubMed Dietary Supplement Subset (NLM) Science Citation Index Expanded (Clarivate Analytics) SciTech Premium Collection (ProQuest) Web of Science (Clarivate Analytics) Being indexed in these databases ensures that the research published in Aging Cell is discoverable by researchers, clinicians, and other professionals interested in the field of aging and its associated health issues. This broad coverage helps to disseminate the journal's findings and contributes to the advancement of knowledge in geroscience.
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