Faraldi M, Sansoni V, Perego S, Gomarasca M, Gerosa L, Ponzetti M, Rucci N, Banfi G, Lombardi G
Laboratory of Experimental Biochemistry and Molecular Biology, IRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
Gruppo Ospedaliero San Donato Foundation, Milano, Italy.
Front Mol Biosci. 2022 Aug 26;9:915080. doi: 10.3389/fmolb.2022.915080. eCollection 2022.
The modification of gene expression profile, a first step in adaptation to exercise, leads to changes in the level of molecules associated with skeletal muscle activity and energy metabolism-such as myokines-as well as those involved in their transcriptional regulation, like microRNA. This study aimed to investigate the influence of strenuous exercise on circulating microRNAs and their possible association with myokine response. Pre-competition and post-competition plasma samples were collected from 14 male athletes participating in a vertical run (+1,000 m gain, 3,600 m length). Circulating total (t-miRNA) and extracellular vesicle-associated (EV-miRNA) miRNAs were extracted from the pooled plasma. Nanoparticle tracking analysis was performed to investigate pre- and post-competition EV concentration and size distribution. A panel of 179 miRNAs was assayed by qPCR and analyzed by Exiqon GenEx v6 normalized on the global mean. t-miRNA and EV-miRNAs whose level was ≥5-fold up- or down-regulated were validated for each single subject. Target prediction on MirWalk v3.0, Gene-Ontology, and pathway enrichment analysis on Panther v17.0 were performed to define the potential biological role of the identified miRNAs. A panel of 14 myokines was assayed in each sample by a multiplex immunoassay. In whole plasma, five miRNAs were upregulated and two were downregulated; in the EV fraction, five miRNAs were upregulated and three were downregulated. Nanoparticle tracking analysis revealed a similar EV size distribution in pre- and post-competition samples and a decreased concentration in post-competition samples related to pre-competition samples. Gene-Ontology and pathway enrichment analysis revealed that the identified t-miRNAs and EV-miRNAs were potentially involved in metabolism regulation in response to exercise. Correlation between fold-change of the post-competition relative to pre-competition plasma level of both t-miRNAs and EV-miRNAs and myokines further confirmed these results. This study provides an example of a systemic response to acute endurance exercise, in which circulating miRNAs play a pivotal role.
基因表达谱的改变是适应运动的第一步,它会导致与骨骼肌活动和能量代谢相关分子(如肌动蛋白)水平的变化,以及参与其转录调控的分子(如微小RNA)水平的变化。本研究旨在调查剧烈运动对循环微小RNA的影响及其与肌动蛋白反应的可能关联。从14名参加垂直跑(上升1000米,长度3600米)的男性运动员中采集赛前和赛后血浆样本。从混合血浆中提取循环总微小RNA(t-miRNA)和细胞外囊泡相关微小RNA(EV-miRNA)。进行纳米颗粒跟踪分析以研究赛前和赛后细胞外囊泡的浓度和大小分布。通过qPCR检测一组179种微小RNA,并通过Exiqon GenEx v6以全局均值进行标准化分析。对每个受试者验证水平上调或下调≥5倍的t-miRNA和EV-miRNA。在MirWalk v3.0上进行靶标预测,在Panther v17.0上进行基因本体论和通路富集分析,以确定已鉴定微小RNA的潜在生物学作用。通过多重免疫测定法在每个样本中检测一组14种肌动蛋白。在全血浆中,5种微小RNA上调,2种下调;在细胞外囊泡部分,5种微小RNA上调,3种下调。纳米颗粒跟踪分析显示,赛前和赛后样本中细胞外囊泡大小分布相似,且赛后样本中浓度相对于赛前样本降低。基因本体论和通路富集分析表明,已鉴定的t-miRNA和EV-miRNA可能参与运动应激下的代谢调节。赛后相对于赛前血浆水平的t-miRNA和EV-miRNA的倍数变化与肌动蛋白之间的相关性进一步证实了这些结果。本研究提供了一个急性耐力运动全身反应的例子,其中循环微小RNA起着关键作用。