人类心血管衰老的环境和遗传预测因素
Mit Shah1, Marco H de A Inácio1, Chang Lu1
1MRC London Institute of Medical Sciences, Imperial College London, London, UK.
Nature communications
|August 21, 2023
概括
心血管衰老是一个复杂的过程,受影响的是影响心脏功能和修复的遗传变异. 机器学习确定了加速心脏衰老的关键基因和危险因素,提供了减缓这一过程的目标.
科学领域:
- 心血管生物学 心血管生物学
- 遗传学 遗传学 是一个
- 计算生物学 计算生物学
背景情况:
- 心血管衰老涉及渐进的结构变化和由于累积的细胞损伤而导致的功能衰退.
- 诸如生物物理,代谢和免疫应激等因素压倒了修复机制,导致纤维化和衰老.
- 心血管衰老的遗传基础在很大程度上是未知的.
研究的目的:
- 为了研究心血管衰老的遗传结构.
- 使用机器学习和各种生理特征量化心血管年龄.
- 为了确定影响加速心血管衰老的遗传变异和因素.
主要方法:
- 利用机器学习从英国生物库数据 (39,559名参与者) 中量化心血管年龄.
- 整合图像衍生的特征 (血管功能,心脏运动,纤维化) 和心电图数据.
- 进行全基因组关联研究以确定与心血管年龄相关的遗传变异.
主要成果:
- 确定了心血管衰老与调节沙氏菌恒温,免疫反应和应激反应的基因变异之间的显著关联.
- 心血管衰老是由心脏代谢风险因素加速的.
- 发现了处方药对心血管衰老的潜在修饰作用.
结论:
- 通过大规模的多特征建模,揭示了推动心血管过早衰老的机制的洞察力.
- 突出了特定遗传途径在心血管衰老中的作用.
- 确定了减轻与年龄有关的心血管衰退的潜在分子标.
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