Sarcopenia – The search for emerging biomarkers

肌萎缩 肌生成抑制素 卵泡抑素 阿格林 骨骼肌 神经营养因子 医学 生物信息学 生物 内科学 内分泌学 突触后电位 受体
作者
Alexander Kalinkovich,Gregory Livshits
出处
期刊:Ageing Research Reviews [Elsevier BV]
卷期号:22: 58-71 被引量:181
标识
DOI:10.1016/j.arr.2015.05.001
摘要

Sarcopenia, an age-related decline in skeletal muscle mass and function, dramatically affects the life quality of elder people. In view of increasing life expectancy, sarcopenia renders a heavy burden on the health care system. However, although there is a consensus that sarcopenia is a multifactorial syndrome, its etiology, underlying mechanisms, and even definition remain poorly delineated, thus, preventing development of a precise treatment strategy. The main aim of our review is to critically analyze potential sarcopenia biomarkers in light of the molecular mechanisms of their involvement in sarcopenia pathogenesis. Normal muscle mass and function maintenance are proposed to be dependent on the dynamic balance between the positive regulators of muscle growth such as bone morphogenetic proteins (BMPs), brain-derived neurotrophic factor (BDNF), follistatin (FST) and irisin, and negative regulators including TGFβ, myostatin, activins A and B, and growth and differentiation factor-15 (GDF-15). We hypothesize that the shift in this balance to muscle growth inhibitors, along with increased expression of the C- terminal agrin fragment (CAF) associated with age-dependent neuromuscular junction (NMJ) dysfunction, as well as skeletal muscle-specific troponin T (sTnT), a key component of contractile machinery, is a main mechanism underlying sarcopenia pathogenesis. Thus, this review proposes and emphasizes that these molecules are the emerging sarcopenia biomarkers.
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
aka毕业顺利完成签到,获得积分20
1秒前
1秒前
acc发布了新的文献求助10
3秒前
简单项链发布了新的文献求助10
3秒前
司马立果发布了新的文献求助10
5秒前
6秒前
ZT发布了新的文献求助10
7秒前
hq完成签到,获得积分20
8秒前
科研通AI6.4的应助被啦啦啦采纳,获得10
9秒前
DOC_XIONG的应助被yyyyy采纳,获得10
9秒前
178的应助被yyyyy采纳,获得10
9秒前
科目三的应助被司马立果采纳,获得10
10秒前
精明的满天完成签到 ,获得积分10
11秒前
hq发布了新的文献求助10
11秒前
Hello的应助被张永豪采纳,获得10
12秒前
12秒前
双木明非完成签到 ,获得积分10
12秒前
无极微光的应助被acc采纳,获得20
12秒前
传奇3的应助被忧伤的绍辉采纳,获得10
13秒前
ding的应助被忧伤的绍辉采纳,获得10
13秒前
恋空完成签到,获得积分10
13秒前
13秒前
zoe11完成签到,获得积分10
13秒前
14秒前
小马甲的应助被忧伤的绍辉采纳,获得10
14秒前
14秒前
HW完成签到 ,获得积分10
14秒前
乐乐的应助被ZT采纳,获得10
14秒前
星辰大海的应助被忧伤的绍辉采纳,获得10
14秒前
Hello的应助被忧伤的绍辉采纳,获得10
14秒前
Hello的应助被忧伤的绍辉采纳,获得10
15秒前
李健的应助被忧伤的绍辉采纳,获得10
15秒前
15秒前
Ra1n完成签到,获得积分10
15秒前
充电宝的应助被sheen采纳,获得10
15秒前
15秒前
李爱国的应助被简单项链采纳,获得10
16秒前
赵彬旭发布了新的文献求助10
17秒前
阿龙完成签到,获得积分10
17秒前
min发布了新的文献求助10
19秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Student's Guide to Social Neuroscience 600
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7810914
求助须知:如何正确求助?哪些是违规求助? 9342600
关于积分的说明 20513445
捐赠科研通 7403713
什么是DOI,文献DOI怎么找? 3329593
关于科研通互助平台的介绍 2476377
邀请新用户注册赠送积分活动 2348464