Metabolic landscape in cardiac aging: insights into molecular biology and therapeutic implications

衰老 自噬 炎症 心脏纤维化 心力衰竭 心功能曲线 生物 心肌细胞 重编程 生物信息学 医学 内科学 细胞 遗传学 细胞凋亡
作者
Saiyang Xie,Si‐Chi Xu,Wei Deng,Qizhu Tang
出处
期刊:Signal Transduction and Targeted Therapy [Springer Nature]
卷期号:8 (1) 被引量:104
标识
DOI:10.1038/s41392-023-01378-8
摘要

Abstract Cardiac aging is evident by a reduction in function which subsequently contributes to heart failure. The metabolic microenvironment has been identified as a hallmark of malignancy, but recent studies have shed light on its role in cardiovascular diseases (CVDs). Various metabolic pathways in cardiomyocytes and noncardiomyocytes determine cellular senescence in the aging heart. Metabolic alteration is a common process throughout cardiac degeneration. Importantly, the involvement of cellular senescence in cardiac injuries, including heart failure and myocardial ischemia and infarction, has been reported. However, metabolic complexity among human aging hearts hinders the development of strategies that targets metabolic susceptibility. Advances over the past decade have linked cellular senescence and function with their metabolic reprogramming pathway in cardiac aging, including autophagy, oxidative stress, epigenetic modifications, chronic inflammation, and myocyte systolic phenotype regulation. In addition, metabolic status is involved in crucial aspects of myocardial biology, from fibrosis to hypertrophy and chronic inflammation. However, further elucidation of the metabolism involvement in cardiac degeneration is still needed. Thus, deciphering the mechanisms underlying how metabolic reprogramming impacts cardiac aging is thought to contribute to the novel interventions to protect or even restore cardiac function in aging hearts. Here, we summarize emerging concepts about metabolic landscapes of cardiac aging, with specific focuses on why metabolic profile alters during cardiac degeneration and how we could utilize the current knowledge to improve the management of cardiac aging.
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
小年发布了新的文献求助10
刚刚
xuxuux完成签到,获得积分10
刚刚
orixero应助坚强的严青采纳,获得10
1秒前
搜集达人应助hwiseo采纳,获得10
1秒前
1秒前
忧郁人龙发布了新的文献求助10
2秒前
领导范儿应助吴迪采纳,获得10
2秒前
Jasper应助孙方宇采纳,获得10
2秒前
2秒前
John发布了新的文献求助10
2秒前
2秒前
王路发布了新的文献求助10
2秒前
Shaw完成签到,获得积分10
3秒前
3秒前
失眠的蹇关注了科研通微信公众号
3秒前
poison完成签到 ,获得积分10
4秒前
李爱国应助青春采纳,获得10
5秒前
5秒前
Gin完成签到,获得积分10
5秒前
hhh完成签到,获得积分10
5秒前
朝颜完成签到,获得积分10
6秒前
传奇3应助花半里里采纳,获得10
7秒前
le123zxc完成签到,获得积分10
7秒前
dxftx发布了新的文献求助10
7秒前
阿桐慕发布了新的文献求助10
7秒前
晴岚风树发布了新的文献求助10
7秒前
福风完成签到,获得积分10
8秒前
8秒前
8秒前
9秒前
香蕉觅云应助合适的咖啡采纳,获得10
9秒前
李孟发布了新的文献求助10
9秒前
Red完成签到 ,获得积分20
9秒前
程CC完成签到 ,获得积分10
9秒前
11秒前
11秒前
小牛发布了新的文献求助10
11秒前
蓝莓橘子酱应助明朗采纳,获得10
11秒前
祈雨完成签到,获得积分20
11秒前
17712570999完成签到,获得积分10
12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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6016328
求助须知:如何正确求助?哪些是违规求助? 7598066
关于积分的说明 16152053
捐赠科研通 5164097
什么是DOI,文献DOI怎么找? 2764589
邀请新用户注册赠送积分活动 1745493
关于科研通互助平台的介绍 1634946