Microvascular Health as a Key Determinant of Organismal Aging

神经科学 再生(生物学) 心理干预 转化研究 医学 返老还童 功能(生物学) 人口 健康衰老 人口老龄化 长寿 免疫系统 生物 全球人口 重症监护医学 过程(计算) 生物信息学 临床实习 心理弹性 血管疾病 适应(眼睛) 衰老 人类健康 钥匙(锁) 心血管健康 血管组织 鉴定(生物学)
作者
Mattia Cenciarini,Andrea Uccelli,Francesca Mangili,Myriam Grunewald,Simone Bersini
出处
期刊:Advanced Science [Wiley]
卷期号:12 (47): e08659-e08659 被引量:2
标识
DOI:10.1002/advs.202508659
摘要

Aging is a complex, multifaceted process affecting all organ systems, with vascular aging playing a central role in organismal health decline. Beyond its role in circulation, the vascular system acts as a dynamic interface between tissues, influencing countless physiological functions such as tissue regeneration and repair, immune responses, and metabolic balance. Importantly, age-related vascular impairment-characterized by a peculiar set of endothelial aging hallmarks-exacerbates age-related diseases (ARDs) such as cardiovascular disorders, neurodegeneration, chronic kidney disease, sarcopenia, and osteoporosis. This review combines basic concepts of angioscience and aging biology with translational interventions to devise clinical strategies promoting a functional rejuvenation of old and compromised blood vessels, fostering the prevention, delay or treatment of ARDs. Starting from the description of the cellular and molecular mechanisms driving vascular aging, a cutting-edge perspective on the organ-specific vascular impairment and its impact on tissue function is offered. Given the central role of the vasculature in aging, how targeting vascular aging through pharmacological, genetic, and lifestyle interventions holds promise for mitigating its systemic consequences and improving healthspan is discussed. Finally, how the combination of animal models (e.g., parabiosis) and novel microphysiological systems, coupled with multi-omics and artificial intelligence-driven analyses, is advancing the field toward the identification of strategies that promote vascular resilience and extend healthspan, addressing one of the most pressing biomedical challenges of a worldwide aging population is highlighted.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
菜菜发布了新的文献求助10
1秒前
zhou完成签到,获得积分10
2秒前
2秒前
aajhajkahna应助zkr采纳,获得10
2秒前
充电宝应助zz采纳,获得10
3秒前
3秒前
万能图书馆应助wll采纳,获得10
4秒前
yuni关注了科研通微信公众号
4秒前
沙枣花墙子完成签到,获得积分10
4秒前
努力发AM完成签到,获得积分10
5秒前
噜噜噜完成签到,获得积分10
5秒前
5秒前
王人捷应助jason0023采纳,获得50
5秒前
tusiyuuu发布了新的文献求助10
8秒前
缥缈颦发布了新的文献求助10
8秒前
香蕉觅云应助GUAN采纳,获得10
8秒前
8秒前
molihuakai应助云曦采纳,获得10
8秒前
zhoudada发布了新的文献求助10
8秒前
文艺蛋挞发布了新的文献求助10
9秒前
9秒前
YXHCM发布了新的文献求助10
10秒前
11秒前
11秒前
静静完成签到,获得积分10
13秒前
赘婿应助whj采纳,获得10
13秒前
橘子林发布了新的文献求助30
13秒前
14秒前
14秒前
14秒前
Aypnia发布了新的文献求助10
15秒前
文艺蛋挞完成签到,获得积分10
15秒前
15秒前
15秒前
16秒前
16秒前
16秒前
16秒前
16秒前
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Interpolation and Regression Models for the Chemical Engineer: Solving Numerical Problems 400
The Neuroscience of Language 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7686016
求助须知:如何正确求助?哪些是违规求助? 9249293
关于积分的说明 19956995
捐赠科研通 7259177
什么是DOI,文献DOI怎么找? 3289328
关于科研通互助平台的介绍 2446363
邀请新用户注册赠送积分活动 2293646