ArticlePloS one2018
Exercise-induced circulating microRNA changes in athletes in various training scenarios.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.
- Non-coding RNAs in exercise immunology: A systematic review.Journal of sport and health science · 2024Pooled it
- Systematic Review of the Diagnostic and Clinical Utility of Salivary microRNAs in Traumatic Brain Injury (TBI).International journal of molecular sciences · 2022Pooled it
- Heavy resistance exercise training in older men: A responder and inter-individual variability analysis.PloS one · 2026Trial
- Effects of extreme mountain ultramarathon on stress-related biomarkers from multiple biological matrices in adult male runners.Physiological reports · 2026Article
- Exercise-induced microRNAs: molecular pathways and adaptive remodeling of skeletal muscle.Pflugers Archiv : European journal of physiology · 2026Review
- Chronic Resistance Exercise Combined with Nutrient Timing Enhances Skeletal Muscle Mass and Strength While Modulating Small Extracellular Vesicle miRNA Profiles.Biomedicines · 2026Article
- The Role of miRNAs and Extracellular Vesicles in Adaptation After Resistance Exercise: A Review.Current issues in molecular biology · 2025Review
- MicroRNAs at the crossroads of exercise and ferroptosis: a regulatory bridge.Clinical and experimental medicine · 2025Review
- Utilizing Circulating MicroRNAs for Personalized Exercise Programs: Insights into Physiological Adaptations and Individual Responses.Iranian journal of biotechnology · 2025Review
- Review
- Physical exercise and epigenetic modifications in skeletal muscle, brain, and heart.Epigenetics & chromatin · 2025Review
- Association of cell-free DNA, micro-RNA 21, and micro-RNA 146a levels with rheumatoid arthritis activity.Molecular biology reports · 2025Article
- Exosomes and microRNAs as mediators of the exercise.European journal of medical research · 2025Review
- Article
- Amplification-Free Strategy for miRNA Quantification in Human Serum Using Single Particle ICP-MS and Gold Nanoparticles as Labels.Analytical chemistry · 2024Article
- Effects of structured exercise training on miRNA expression in previously sedentary individuals.PloS one · 2024Article
- Acute response in circulating microRNAs following a single bout of short-sprint and heavy strength training in well-trained cyclists.Frontiers in physiology · 2024Article
- Why Does Rehabilitation Not (Always) Work in Osteoarthritis? Does Rehabilitation Need Molecular Biology?International journal of molecular sciences · 2023Review
- Circulating microRNAs as Reliable Tumor Biomarkers: Opportunities and Challenges Facing Clinical Application.The Journal of pharmacology and experimental therapeutics · 2023Review
- The role of microRNAs in regulating inflammation and exercise-induced adaptations in rheumatoid arthritis.Rheumatology advances in practice · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of the study was to compare selected extracellular miRNA levels (miR-16, miR-21, miR-93 and miR-222 with the response to 8-week-long explosive strength training (EXPL), hypertrophic strength training (HYP) and high-intensity interval training (HIIT).
methods30 young male athletes of white European origin (mean age: 22.5 ± 4.06 years) recruited at the Faculty of Sports Studies of Masaryk University were enrolled in this study. The study participants were randomly assigned to three possible training scenarios: EXPL, HYP or HITT and participated in 8-week-long program in given arm. Blood plasma samples were collected at the baseline and at week 5 and 8 and anthropometric and physical activity parameters were measured. Pre- and post-intervention characteristics were compared and participants were further evaluated as responders (RES) or non-responders (NRES). RES/NRES status was established for the following characteristics: 300°/s right leg extension (t300), 60°/s right leg extension (t60), isometric extension (IE), vertical jump, isometric extension of the right leg and body fat percentage (BFP).
resultsNo differences in miRNA levels were apparent between the intervention groups at baseline. No statistically significant prediction role was observed using crude univariate stepwise regression model analysis where RES/NRES status for t300, t60, IE, vertical jump and pFM was used as a dependent variable and miR-21, miR-222, miR-16 and miR-93 levels at baseline were used as independent variables. The baseline levels of miR-93 expressed an independent prediction role for responder status based on isometric extension of the right leg (beta estimate 0.76, 95% CI: -0.01; 1.53, p = 0.052). DISCUSSION: The results of the study indicate that 8-week-long explosive strength training, hypertrophic strength training and high-intensity interval training regimens are associated with significant changes in miR-16, mir-21, miR-222 and miR-93 levels compared to a baseline in athletic young men.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.