Evidence map›Paper›PMID 35965805›Full record

ArticleAnnals of translational medicine2022

MicroRNA-194 inhibits isoproterenol-induced chronic cardiac hypertrophy via targeting CnA/NFATc2 signaling in H9c2 cells.

Jian Wang, Yucheng An, Jun Lin, Gang Tang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 1 institution in 1 country.

Jian Wang *Department of Cardiology, The Third Affiliated Hospital of Chongqing Medical University (Jieer Hospital), Chongqing, China.
Yucheng An *Department of Cardiology, The Third Affiliated Hospital of Chongqing Medical University (Jieer Hospital), Chongqing, China.
Jun LinDepartment of Cardiology, The Third Affiliated Hospital of Chongqing Medical University (Jieer Hospital), Chongqing, China.
Gang TangDepartment of Cardiology, The Third Affiliated Hospital of Chongqing Medical University (Jieer Hospital), Chongqing, China.
Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study explored the effects of microRNA(miR)-194 on chronic cardiac hypertrophy (CH) induced by isoproterenol (ISO). The potential mechanism through regulation of the calcineurin A (CnA)/nuclear factor of activated T cells (NFAT) c2 pathway was investigated in the rat cardiomyoblast cell line H9c2. Methods: H9c2 cells were treated with ISO to induce cardiomyocyte hypertrophy to simulate CH Results: The results demonstrated that induction with ISO significantly increased the surface area of H9c2 cells. After induction, the expression of miR-194 decreased, while both CnA mRNA and protein expression increased. Furthermore, the nuclear translocation of NFATc2 was obvious. MiR-194 bound to the 3'-UTR of CnA mRNA and inhibited CnA protein expression. Inhibition of miR-194 expression activated NFATc2 protein expression and increased the H9c2 cell surface area. After CnA expression was disturbed, hypertrophy induced by miR-194 down-regulation was blocked. In addition, overexpression of miR-194 significantly alleviated cell hypertrophy and activation of the CnA/NFATc2 pathway caused by ISO. Conclusions: In conclusion, increasing the expression of miR-194 can alleviate CH by targeting can and inhibiting the CnA/NFATc2 pathway.

Indexed as

calcineurin A/nuclear factor of activated T cells c2 (CnA/NFATc2)Cardiac hypertrophy (CH)cardiomyocytes hypertrophymicroRNA-194

Identifiers

PMID35965805
PMCPMC9372657
OpenAlexW4285275461

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.