Jidong Liu, Fang Xiao, Abhinav Choubey, Udhaya Kumar S, Yanxiang Wang, Sungguan Hong, Tingting Yang, Husniye Gul Otlu, Ege Sanem Oturmaz, Emanuele Loro, Yuxiang Sun, Pradip Saha, Tejvir S Khurana, Li Chen, Xinguo Hou, Zheng Sun
{"title":"Muscle Rev-erb controls time-dependent adaptations to chronic exercise in mice.","authors":"Jidong Liu, Fang Xiao, Abhinav Choubey, Udhaya Kumar S, Yanxiang Wang, Sungguan Hong, Tingting Yang, Husniye Gul Otlu, Ege Sanem Oturmaz, Emanuele Loro, Yuxiang Sun, Pradip Saha, Tejvir S Khurana, Li Chen, Xinguo Hou, Zheng Sun","doi":"10.1038/s41467-025-60520-y","DOIUrl":null,"url":null,"abstract":"<p><p>The best time of the day for chronic exercise training and the mechanism underlying the timing effects is unclear. Here, we show that low-intensity, low-volume treadmill training in mice before sleep yields greater benefits than after waking for muscle contractile performance and systemic glucose tolerance. Baseline muscle performance also exhibits diurnal variations, with higher strength but lower endurance before sleep than after waking. Muscle-specific knockout of circadian clock genes Rev-erbα/β (Rev-MKO) in male mice eradicates the diurnal variations in both training and baseline conditions without affecting muscle mass, mitochondrial content, food intake, or spontaneous activities. Multi-omics and metabolic measurements reveal that Rev-erb suppresses fatty acid oxidation and promotes carbohydrate metabolism before sleep. Thus, the muscle-autonomous clock, not feeding or locomotor behaviors, dictates diurnal variations of muscle functions and time-dependent adaptations to training, which has broad implications in metabolic disorders and sports medicine as Rev-erb agonists are exercise mimetics or enhancers.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"16 1","pages":"5708"},"PeriodicalIF":15.7000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12216418/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Communications","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-025-60520-y","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The best time of the day for chronic exercise training and the mechanism underlying the timing effects is unclear. Here, we show that low-intensity, low-volume treadmill training in mice before sleep yields greater benefits than after waking for muscle contractile performance and systemic glucose tolerance. Baseline muscle performance also exhibits diurnal variations, with higher strength but lower endurance before sleep than after waking. Muscle-specific knockout of circadian clock genes Rev-erbα/β (Rev-MKO) in male mice eradicates the diurnal variations in both training and baseline conditions without affecting muscle mass, mitochondrial content, food intake, or spontaneous activities. Multi-omics and metabolic measurements reveal that Rev-erb suppresses fatty acid oxidation and promotes carbohydrate metabolism before sleep. Thus, the muscle-autonomous clock, not feeding or locomotor behaviors, dictates diurnal variations of muscle functions and time-dependent adaptations to training, which has broad implications in metabolic disorders and sports medicine as Rev-erb agonists are exercise mimetics or enhancers.
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.