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在一项基于人群的队列研究中,联合加速生物衰老与遗传易感性与心力衰竭发病率的关联。

Associations of combined accelerated biological aging and genetic susceptibility with incidence of heart failure in a population-based cohort study.

作者信息

Zhao Hao, Zhang Xuening, Li Yanzhi, Wang Wanxin, Lai Wenjian, Zhang Wenjing, Kang Kai, Zhong Xiali, Guo Lan

机构信息

Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China.

Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, China.

出版信息

Aging Cell. 2025 Apr;24(4):e14430. doi: 10.1111/acel.14430. Epub 2024 Dec 11.

Abstract

The global aging population raises concerns about heart failure (HF), yet its association with accelerated biological age (BA) remains inadequately understood. We aimed to examine the longitudinal association between BA acceleration and incident HF risk, assess its modifying effect on genetic susceptibility, and how much BA acceleration mediates the impact of modifiable health behaviors on incident HF. We analyzed 274,608 UK Biobank participants without HF at baseline. Two BA accelerations (Biological Age Acceleration [BioAgeAccel] and Phenotypic Age Acceleration [PhenoAgeAccel]) were calculated by regressing clinical biomarker-based BA on chronological age, with higher values indicating accelerated aging. Health behavior scores were computed based on diet, physical activity, tobacco/nicotine, sleep, and BMI. Genetic risk scores (GRS) were calculated by 12 HF-associated loci. During a median follow-up of 13.5 years, 8915 HF cases were documented. Each standard deviation increase in BioAgeAccel and PhenoAgeAccel was associated with an increased incident HF risk, yielding HRs of 1.45 (95% CI, 1.42-1.48) and 1.42 (95% CI, 1.40-1.45), respectively. Participants with high GRS and highest quartile of BioAgeAccel had an HR of 2.69 (95% CI, 2.42-2.99), and for PhenoAgeAccel, an HR of 2.83 (95% CI, 2.52-3.18), compared to those with low GRS, and lowest quartile. Additive interactions were observed between GRS and BA accelerations. Health behaviors reduced HF risk, with 21.1% (95% CI, 19.5%-22.8%) mediated by decreased BioAgeAccel and 20.9% (95% CI, 19.5%-22.6%) by decreased PhenoAgeAccel. Accelerated BA is associated with an increased incident HF risk, with an additive effect when combined with genetic susceptibility. Maintaining health behaviors may help mitigate BA aging and reduce HF risk.

摘要

全球人口老龄化引发了对心力衰竭(HF)的担忧,但其与生物年龄加速(BA)之间的关联仍未得到充分理解。我们旨在研究BA加速与HF发病风险之间的纵向关联,评估其对遗传易感性的修饰作用,以及BA加速在多大程度上介导了可改变的健康行为对HF发病的影响。我们分析了英国生物银行中274,608名基线时无HF的参与者。通过将基于临床生物标志物的BA与实际年龄进行回归计算出两种BA加速指标(生物年龄加速[BioAgeAccel]和表型年龄加速[PhenoAgeAccel]),值越高表明衰老加速。根据饮食、身体活动、烟草/尼古丁、睡眠和体重指数计算健康行为得分。通过12个与HF相关的基因座计算遗传风险评分(GRS)。在中位随访13.5年期间,记录了8915例HF病例。BioAgeAccel和PhenoAgeAccel每增加一个标准差,HF发病风险就会增加,风险比分别为1.45(95%置信区间,1.42 - 1.48)和1.42(95%置信区间,1.40 - 1.45)。与低GRS且处于最低四分位数的参与者相比,高GRS且BioAgeAccel处于最高四分位数的参与者风险比为2.69(95%置信区间,2.42 - 2.99),对于PhenoAgeAccel,风险比为2.83(95%置信区间,2.52 - 3.18)。观察到GRS与BA加速之间存在相加交互作用。健康行为可降低HF风险,BioAgeAccel降低介导了21.1%(95%置信区间,19.5% - 22.8%),PhenoAgeAccel降低介导了20.9%(95%置信区间,19.5% - 22.6%)。BA加速与HF发病风险增加相关,与遗传易感性相结合时具有相加效应。保持健康行为可能有助于减轻BA衰老并降低HF风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08a1/11984684/5254cefa95f3/ACEL-24-e14430-g002.jpg

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