New insights into lactate in exercise adaptations: does protein lactylation play a role?

表观遗传学 体育锻炼 运动生理学 神经科学 计算生物学 生物化学 细胞生物学 生物信息学 生物 内分泌学 基因
作者
Zhen Wang,Lin Zhu
出处
期刊:American Journal of Physiology-endocrinology and Metabolism [American Physiological Society]
卷期号:329 (3): E405-E419 被引量:2
标识
DOI:10.1152/ajpendo.00225.2025
摘要

Physical activity and exercise are widely recognized as effective ways to promote physical fitness and prevent disease; however, their underlying molecular mechanisms remain to be fully elucidated. Within the last few years, the discovery of lactylation has propelled the well-known exercise metabolite lactate into the scientific spotlight. As the end product of glycolysis, lactate was initially considered to be a “metabolic waste” leading to muscle fatigue; however, subsequent studies have demonstrated the importance of lactate as an energy substrate and a signal transduction molecule to coordinate various physiological processes. Importantly, the novel posttranslational modification, lactylation, establishes a bridge between lactate and epigenetics, and provides new perspectives for understanding the role of lactate in exercise-mediated health promotion. Although some recent evidence in rodents suggests that exercise increases protein lactylation, there are mixed findings in this area, with limited human studies showing no effects. This review summarizes current knowledge of exercise-mediated lactylation, why mixed findings in the literature may exist, and suggests future research that can add further clarity to this area of molecular biology.
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
xjc发布了新的文献求助10
刚刚
大模型应助三点遇见柴采纳,获得10
1秒前
科研通AI6.2应助奋斗蝴蝶采纳,获得10
2秒前
2秒前
嘉嘉完成签到 ,获得积分10
2秒前
2秒前
2秒前
koss完成签到,获得积分10
3秒前
wanci应助草莓大王采纳,获得10
4秒前
卷卷羊发布了新的文献求助10
4秒前
标致的甜瓜完成签到,获得积分10
5秒前
presidt发布了新的文献求助10
5秒前
5秒前
甜甜灵松发布了新的文献求助10
6秒前
所所应助泡泡茶壶采纳,获得10
7秒前
似水柔情完成签到 ,获得积分10
7秒前
SciGPT应助annie采纳,获得10
8秒前
ranran发布了新的文献求助10
8秒前
冬月初七发布了新的文献求助10
9秒前
充电宝应助youtiaop采纳,获得10
9秒前
Zero完成签到,获得积分10
9秒前
坚定丹亦发布了新的文献求助10
10秒前
10秒前
桐桐应助吧啦吧啦吧采纳,获得10
10秒前
11秒前
12秒前
memory发布了新的文献求助40
13秒前
13秒前
13秒前
tianyu完成签到 ,获得积分10
14秒前
星辰大海应助demon1采纳,获得10
14秒前
14秒前
15秒前
16秒前
lalalal完成签到,获得积分10
16秒前
莉莉酱发布了新的文献求助10
17秒前
haoran完成签到,获得积分10
17秒前
天天快乐应助钒酸铵采纳,获得10
17秒前
等待凝云完成签到,获得积分10
17秒前
之昂发布了新的文献求助10
17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
The Multiple Self-States Drawing Technique 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7770504
求助须知:如何正确求助?哪些是违规求助? 9313481
关于积分的说明 20333874
捐赠科研通 7355896
什么是DOI,文献DOI怎么找? 3316448
关于科研通互助平台的介绍 2465116
邀请新用户注册赠送积分活动 2331269