Evidence map›Paper›PMID 27782053›Full record

ReviewInternational journal of molecular sciences2016

Circulating MicroRNAs as Potential Biomarkers of Exercise Response.

Mája Polakovičová, Peter Musil, Eugen Laczo, Dušan Hamar, Ján Kyselovič

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Equine MicroRNAs: Performance, Reproduction, and Disease.MicroRNA (Shariqah, United Arab Emirates) · 2026
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. DNA Methylation in the Adaptive Response to Exercise.Sports medicine (Auckland, N.Z.) · 2024
    Review
  20. Article

4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mája PolakovičováHamar Institute for Human Performance, Faculty of Physical Education and Sports, Comenius University Bratislava, Nábr. Arm. Gen. L. Svobodu 9, Bratislava 814 69, Slovakia. maja.polakovicova@uniba.sk.
Peter MusilDepartment of Pharmacology and Toxicology, Faculty of Pharmacy, Comenius University Bratislava, Odbojárov 10, Bratislava 832 32, Slovakia. peter.musil@uniba.sk.
Eugen LaczoDepartment of Track & Field, Faculty of Physical Education and Sports, Comenius University Bratislava, Nábr. Arm. Gen. L. Svobodu 9, Bratislava 814 69, Slovakia. eugen.laczo@uniba.sk.
Dušan HamarDepartment of Sport Kinanthropology, Faculty of Physical Education and Sports, Comenius University Bratislava, Nábr. Arm. Gen. L. Svobodu 9, Bratislava 814 69, Slovakia. dusan.hamar@uniba.sk.
Ján KyselovičDepartment of Pharmacology and Toxicology, Faculty of Pharmacy, Comenius University Bratislava, Odbojárov 10, Bratislava 832 32, Slovakia. kyselovic@uniba.sk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systematic physical activity increases physical fitness and exercise capacity that lead to the improvement of health status and athletic performance. Considerable effort is devoted to identifying new biomarkers capable of evaluating exercise performance capacity and progress in training, early detection of overtraining, and monitoring health-related adaptation changes. Recent advances in OMICS technologies have opened new opportunities in the detection of genetic, epigenetic and transcriptomic biomarkers. Very promising are mainly small non-coding microRNAs (miRNAs). miRNAs post-transcriptionally regulate gene expression by binding to mRNA and causing its degradation or inhibiting translation. A growing body of evidence suggests that miRNAs affect many processes and play a crucial role not only in cell differentiation, proliferation and apoptosis, but also affect extracellular matrix composition and maintaining processes of homeostasis. A number of studies have shown changes in distribution profiles of circulating miRNAs (c-miRNAs) associated with various diseases and disorders as well as in samples taken under physiological conditions such as pregnancy or physical exercise. This overview aims to summarize the current knowledge related to the response of blood c-miRNAs profiles to different modes of exercise and to highlight their potential application as a novel class of biomarkers of physical performance capacity and training adaptation.

Indexed as

ExerciseBiomarkersHumansMicroRNAsMuscle, SkeletalBiomarkersMicroRNAsbiomarkercirculating microRNAphysical exerciseskeletal muscle

Identifiers

PMID27782053
PMCPMC5085619

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.