Evidence map›Paper›PMID 32046645›Full record

ArticleBMC cardiovascular disorders2020

The effect of preconditioning with high-intensity training on tissue levels of G-CSF, its receptor and C-kit after an acute myocardial infarction in male rats.

Reza Ghanimati, Hamid Rajabi, Fatemeh Ramezani, Maral Ramez, Mohsen Bapiran, Farinaz Nasirinezhad

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. The Molecular Signature of High-intensity Training in the Human Body.International journal of sports medicine · 2022
    Review
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

6 authors at 2 institutions in 1 country.

Reza GhanimatiDepartment of Exercise physiology, Faculty of Physical Education and Sport Sciences, Kharazmi University, Tehran, Iran.
Hamid RajabiDepartment of Exercise physiology, Faculty of Physical Education and Sport Sciences, Kharazmi University, Tehran, Iran.
Fatemeh RamezaniPhysiology Research Center and Physiology Department, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Maral RamezDepartment of Exercise physiology, Faculty of Physical Education and Sport Sciences, Kharazmi University, Tehran, Iran.
Mohsen BapiranDepartment of Exercise physiology, Faculty of Physical Education and Sport Sciences, Kharazmi University, Tehran, Iran.
Farinaz NasirinezhadPhysiology Research Center and Physiology Department, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran. nasirinezhad.f@iums.ac.ir.ORCID 0000-0001-9298-6839
Kharazmi University · IRIran University of Medical Sciences · IR

Funding

Iran university of medical sciences IR.IUMS.REC 1395.28895
6 · The paper itself

Abstract

backgroundExercise training is known as a practical way to increase cardioprotection against stress, and it seems that stem cell recruitment is one of its mechanisms. The purpose of the present study was to investigate the effect of preconditioning with High-intensity interval training (HIIT) on tissue levels of G-CSF, its receptor and C-Kit following acute myocardial infarction in male rats.

methodsTwenty Male Wistar rats were randomly divided into 4 groups of control, MI, HIIT, and HIIT+MI. Training groups performed 2 weeks of high intensity interval training in 4 sections. The first section consisted training in 3 days and 2 sessions in each day (4 × 2 min with 35-40 m/min and 3 × 2 min with 25-30 m/min between high intervals. The second part included 2 days of training (4 × 2 min with 40 to 45 m/min and 3 × 2 min with 28 to 32 m /min). The third part was performed in 3 days with one more repetition. The fourth section consisted 2 days of training and with one more repetition compared to section 3. For induction of myocardial infarction, subcutaneous injection of isoprenaline was used. CK, total CK, LDH, and troponin T were measured in serum and G-CSF, G-CSFR and C-Kit proteins were measured by the Western Blot method in the heart tissue.

resultsThe results of this study showed that enzymes of CK, total CK, LDH, troponin T had a significant increase in both MI and HIIT+MI groups compared to the other two groups (P < 0.001) and these indices in the MI group were significantly higher than the HIIT+MI group. Also, the results demonstrated that G-CSF, G-CSFR and C-Kit protein expression in the heart tissue significantly increased after MI. As well as, 2 weeks of HIIT training significantly increased G-CSF and C-kit in the training group compared to the control group, but the training caused that these proteins does not increase in HIIT+MI group as much as MI group.

conclusionsAlong with other protective pathways, high intensity interval training can increase cardioprotection and decrease heart injuries through the increase in G-CSF, G-CSFR and C-kit level.

Indexed as

High-Intensity Interval TrainingAnimalsDisease Models, AnimalExercise ToleranceFibrosisGranulocyte Colony-Stimulating FactorMaleMyocardial InfarctionMyocardiumNecrosisProto-Oncogene Proteins c-kitRats, WistarReceptors, Granulocyte Colony-Stimulating FactorSignal TransductionTime FactorsGranulocyte Colony-Stimulating FactorProto-Oncogene Proteins c-kitReceptors, Granulocyte Colony-Stimulating FactorAcute myocardial infarctionCardioprotectionHigh-intensity interval trainingPreconditioning

Identifiers

PMID32046645
PMCPMC7011373
OpenAlexW3007765098

What OpenQuestion holds

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Registered trials

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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.