在中国队列中开发和验证一种针对生物衰老和慢性疾病的修饰性基因
Jialiang Zheng1, Tao Liu1, Yumei Luo1
1Yunnan University, Kunming, Yunnan, 650091, China.
Archives of gerontology and geriatrics
|December 24, 2025
概括
一个新的生物衰老算法,PA-CRP,排除了C-反应蛋白 (CRP) 以供更广泛的临床使用. 它有效地评估了中国成年人的衰老和慢性疾病风险,将生活方式因素与健康结果联系起来.
科学领域:
- 老年学是一门学科.
- 生物标志物 生物标志物
- 公共卫生 公共卫生
背景情况:
- 最初的PhenoAge算法依赖于C反应蛋白 (CRP),这是一个非常规的生物标志物,限制了其临床适用性.
- 需要实用的生物衰老指标,这些指标可以在常规医疗保健环境中广泛使用.
研究的目的:
- 开发和验证一个修改算法 (PA-CRP),排除CRP,以提高日常医疗保健中的效用.
- 评估PA-CRP及其衍生物 (PA-CRP_Advance) 与中国队列中的慢性疾病和生活方式因素的关联.
主要方法:
- PA-CRP和PA-CRP_Advance是使用NHANES数据集开发和验证的.
- 该算法应用于基于中国大学的队列 (n=4295),使用多变量回归模型来评估与慢性疾病和生活方式因素的关联.
主要成果:
- 在反映生物衰老和预测死亡率方面,PA-CRP证明了其有效性.
- 在中国队列中,PA-CRP与高血压,高脂血症,高血糖症和白内障有关.
- 吸烟加快了生物衰老,而体力活动显示出保护作用;饮酒没有显著的关联.
结论:
- PA-CRP是评估中国成年人生物衰老和慢性疾病风险的有效和务实的工具.
- 排除CRP允许在常规的临床和公共卫生环境中广泛应用.
- PA-CRP作为一个适用于跨种群的生物衰老指标.
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