Evidence map›Paper›PMID 24219008›Full record

ArticleBMC physiology2013

Dynamically regulated miRNA-mRNA networks revealed by exercise.

Alexander G Tonevitsky, Diana V Maltseva, Asghar Abbasi, Timur R Samatov, Dmitry A Sakharov, Maxim U Shkurnikov, Alexey E Lebedev, Vladimir V Galatenko, Anatoly I Grigoriev, Hinnak Northoff

Open access · hybridAbstract read
In one paragraph

Article in BMC physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 4% of its field
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

61 citing papers in PubMed, 3 syntheses or guidelines pooled it, 123 citations in OpenAlex.

  1. Non-coding RNAs in exercise immunology: A systematic review.Journal of sport and health science · 2024
    Pooled it
  2. Pooled it
  3. Pooled it
  4. Plasma levels of microRNA in chronic kidney disease: patterns in acute and chronic exercise.American journal of physiology. Heart and circulatory physiology · 2015
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  13. Frontiers in veterinary science · 2025
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  16. Investigating the Causal Effects of Exercise-Induced Genes on Sarcopenia.International journal of molecular sciences · 2024
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  17. Article
  18. Exercise AltersMicroRNA (Shariqah, United Arab Emirates) · 2024
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  20. Review

1 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

10 authors at 5 institutions in 2 countries.

Alexander G TonevitskySRC Bioclinicum, Ugreshskaya str 2/85, Moscow 115088, Russia. timur.samatov@gmail.com.
Diana V Maltseva
Asghar Abbasi
Timur R Samatov
Dmitry A Sakharov
Maxim U Shkurnikov
Alexey E Lebedev
Vladimir V Galatenko
Anatoly I Grigoriev
Hinnak Northoff
BioClinicum (Russia) · RULomonosov Moscow State University · RUUniversity of Tübingen · DEInstitute of Biomedical Problems · RUResearch Institute of General Pathology and Pathophysiology, the Russian Academy of Medical Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMiRNAs are essential mediators of many biological processes. The aim of this study was to investigate the dynamics of miRNA-mRNA regulatory networks during exercise and the subsequent recovery period.

resultsHere we monitored the transcriptome changes using microarray analysis of the whole blood of eight highly trained athletes before and after 30 min of moderate exercise followed by 30 min and 60 min of recovery period. We combined expression profiling and bioinformatics and analysed metabolic pathways enriched with differentially expressed mRNAs and mRNAs which are known to be validated targets of differentially expressed miRNAs. Finally we revealed four dynamically regulated networks comprising differentially expressed miRNAs and their known target mRNAs with anti-correlated expression profiles over time. The data suggest that hsa-miR-21-5p regulated TGFBR3, PDGFD and PPM1L mRNAs. Hsa-miR-24-2-5p was likely to be responsible for MYC and KCNJ2 genes and hsa-miR-27a-5p for ST3GAL6. The targets of hsa-miR-181a-5p included ROPN1L and SLC37A3. All these mRNAs are involved in processes highly relevant to exercise response, including immune function, apoptosis, membrane traffic of proteins and transcription regulation.

conclusionsWe have identified metabolic pathways involved in response to exercise and revealed four miRNA-mRNA networks dynamically regulated following exercise. This work is the first study to monitor miRNAs and mRNAs in parallel into the recovery period. The results provide a novel insight into the regulatory role of miRNAs in stress adaptation.

Indexed as

AdultExerciseHumansMaleMetabolic Networks and PathwaysMicroRNAsRNA, MessengerYoung AdultMicroRNAsRNA, Messenger

Identifiers

PMID24219008
PMCPMC3681679
OpenAlexW2157446810

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.