Title |
Selective Modulation of MicroRNA Expression with Protein Ingestion Following Concurrent Resistance and Endurance Exercise in Human Skeletal Muscle
|
---|---|
Published in |
Frontiers in Physiology, March 2016
|
DOI | 10.3389/fphys.2016.00087 |
Pubmed ID | |
Authors |
Donny M. Camera, Jun N. Ong, Vernon G. Coffey, John A. Hawley |
Abstract |
We examined changes in the expression of 13 selected skeletal muscle microRNAs (miRNAs) implicated in exercise adaptation responses following a single bout of concurrent exercise. In a randomized cross-over design, seven healthy males undertook a single trial consisting of resistance exercise (8 × 5 leg extension, 80% 1 Repetition Maximum) followed by cycling (30 min at ~70% VO2peak) with either post-exercise protein (PRO: 25 g whey protein) or placebo (PLA) ingestion. Muscle biopsies (vastus lateralis) were obtained at rest and 4 h post-exercise. Detection of miRNA via quantitative Polymerase Chain Reaction (qPCR) revealed post-exercise increases in miR-23a-3p (~90%), miR-23b-3p (~39%), miR-133b (~80%), miR-181-5p (~50%), and miR-378-5p (~41%) at 4 h post-exercise with PRO that also resulted in higher abundance compared to PLA (P < 0.05). There was a post-exercise decrease in miR-494-3p abundance in PLA only (~88%, P < 0.05). There were no changes in the total abundance of target proteins post-exercise or between conditions. Protein ingestion following concurrent exercise can modulate the expression of miRNAs implicated in exercise adaptations compared to placebo. The selective modulation of miRNAs with target proteins that may prioritize myogenic compared to oxidative/metabolic adaptive responses indicate that miRNAs can play a regulatory role in the molecular machinery enhancing muscle protein synthesis responses with protein ingestion following concurrent exercise. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 5% |
Canada | 2 | 5% |
Australia | 2 | 5% |
Spain | 1 | 2% |
Germany | 1 | 2% |
Costa Rica | 1 | 2% |
Brazil | 1 | 2% |
United Kingdom | 1 | 2% |
France | 1 | 2% |
Other | 0 | 0% |
Unknown | 32 | 73% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 26 | 59% |
Scientists | 16 | 36% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
Unknown | 88 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 20% |
Researcher | 10 | 11% |
Student > Bachelor | 10 | 11% |
Student > Doctoral Student | 9 | 10% |
Student > Master | 9 | 10% |
Other | 18 | 20% |
Unknown | 16 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Sports and Recreations | 18 | 20% |
Medicine and Dentistry | 15 | 17% |
Biochemistry, Genetics and Molecular Biology | 14 | 16% |
Agricultural and Biological Sciences | 12 | 13% |
Nursing and Health Professions | 7 | 8% |
Other | 8 | 9% |
Unknown | 16 | 18% |