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测量生物年龄:来自omics研究的见解
Eva Kočar1, Robert Šket2, Ana Halužan Vasle3
1University of Ljubljana, Faculty of Medicine, Institute of Biochemistry and Molecular Genetics, Centre for Functional Genomics and Bio-Chips, Ljubljana 1000, Slovenia.
Ageing research reviews
|December 10, 2025
概括
生物衰老是一种复杂的过程,使用先进的奥米克技术进行研究. 这些方法有助于发现生物标志物,并制定针对健康衰老的个性化策略.
科学领域:
- 老年学和系统生物学 系统生物学
- 利用多领域的知识来理解生物衰老.
背景情况:
- 生物衰老是一个复杂的,多因素的过程,涉及分子和细胞的变化.
- 高通量omics技术使生物分子的全面分析能够用于衰老研究.
研究的目的:
- 审查最近在将基因组学,表观基因组学,代谢学和微生物组学应用于衰老研究方面的进展.
- 突出对生物标志物发现,机制性见解和衰老中的转化机会的贡献.
主要方法:
- 基因组分析以确定与长寿相关的遗传变异.
- 预测生物年龄的表观遗传钟.
- 针对衰老轨迹的蛋白质组,代谢组和微生物组分析.
- 集成多omics数据与临床和生活方式因素使用AI和机器学习.
主要成果:
- 发现了与极端长寿相关的基因组变异.
- 表观遗传钟作为可靠的生物年龄预测器.
- 蛋白质组,代谢组和微生物组的特征反映了衰老过程.
- 运动和饮食等干预措施可以减少生物年龄.
- 微生物钟的出现和器官/性别特定的衰老轨迹.
结论:
- 奥米克技术和计算建模正在彻底改变衰老生物学.
- 生物年龄的整体定义和个性化的健康衰老策略正在出现.
- 多学科的整合提供了强大的工具来理解和干预衰老过程.
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