Spray Luke, Richardson Gavin, Booth Laura K, Haendeler Judith, Altschmied Joachim, Bromage Daniel I, Wallis Sienna B, Stellos Konstantinos, Tual-Chalot Simon, Spyridopoulos Ioakim
Translational and Clinical Research Institute, Vascular Biology and Medicine Theme, Faculty of Medical Sciences, Newcastle University, Centre for Life, Newcastle Upon Tyne NE1 3BZ, UK.
Cardiology Department, Freeman Hospital, Newcastle upon Tyne NE7 7DN, UK.
Cardiovasc Res. 2025 Aug 28;121(10):1489-1508. doi: 10.1093/cvr/cvaf138.
Most acquired cardiovascular diseases are more common in older people, and the biological mechanisms and manifestations of aging provide insight into cardiovascular pathophysiology. Measuring aging within the cardiovascular system may help to better understand risk profiles for specific individuals and direct targeted preventative therapy. In this review, we explore telomere attrition, cellular senescence, epigenetic modifications, and mitochondrial dysfunction as key molecular mechanisms of aging. These phenomena are associated with cardiovascular disease through endothelial dysfunction and systemic inflammation, which are measurable in clinical practice with a variety of clinical, laboratory, and imaging techniques. Finally, we discuss that the next tools for modelling cardiovascular aging must be capable of incorporating a vast amount of diverse data from a given patient, pointing to recent developments in artificial intelligence and machine learning.
大多数后天性心血管疾病在老年人中更为常见，衰老的生物学机制和表现为心血管病理生理学提供了见解。测量心血管系统内的衰老情况可能有助于更好地了解特定个体的风险状况，并指导有针对性的预防性治疗。在本综述中，我们探讨端粒磨损、细胞衰老、表观遗传修饰和线粒体功能障碍作为衰老的关键分子机制。这些现象通过内皮功能障碍和全身炎症与心血管疾病相关联，而在临床实践中，可以通过各种临床、实验室和影像学技术对其进行测量。最后，我们讨论了用于模拟心血管衰老的下一代工具必须能够整合来自特定患者的大量不同数据，并指出人工智能和机器学习的最新进展。
