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加速表型衰老,遗传风险和生活方式与2型糖尿病进展的关联:使用多州模型的前性研究
Lulu Pan1, Yahang Liu1, Chen Huang1
1Department of Biostatistics, Key Laboratory of Public Health Safety of Ministry of Education, NHC Key Laboratory for Health Technology Assessment, School of Public Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
BMC medicine
|February 3, 2025
概括
生物学上较年长的人面临2型糖尿病 (T2D) 进展,并发症和死亡的风险更高. 现型年龄加速 (PhenoAgeAccel) 可以帮助识别高风险个体,特别是当与遗传风险因素相结合时.
科学领域:
- 老年学是一门学科.
- 内分泌学 在内分泌学.
- 代谢疾病 代谢疾病
背景情况:
- 衰老是2型糖尿病 (T2D) 的主要危险因素.
- 生物衰老的速率在同一时间表年龄的个体之间有很大差异.
- 现型年龄加速 (PhenoAgeAccel) 是一种用于生物衰老的新生物标志物,但其与T2D进展的关联尚未得到充分理解.
研究的目的:
- 调查PhenoAgeAccel与T2D的动态进展之间的关联.
- 检查遗传风险和生活方式是否会改变这些关联.
主要方法:
- 来自英国生物库的376,083名成年人的前性队列研究,在基线时无T2D.
- PhenoAgeAccel被用来将参与者分类为比他们的时间年龄更老或更年轻的生物学年龄.
- 多州模型分析了过渡到T2D,糖尿病并发症和死亡率,并对遗传风险和生活方式因素进行了调整.
主要成果:
- 生物学上较老的个体显示T2D发病率,糖尿病并发症和全因死亡率的风险显著增加.
- 较大的生物年龄和高遗传风险的结合放大了T2D发病率风险.
- 高龄的生物年龄与不健康的生活方式相结合,进一步提高了T2D轨迹的风险.
结论:
- PhenoAgeAccel是T2D进展的所有阶段中增加风险的一致预测器.
- 将PhenoAgeAccel与遗传风险评估相结合,可以改善早期识别T2D风险.
- PhenoAgeAccel可以指导个性化的干预措施,并在整个T2D管理过程中监测治疗的有效性.
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