Evidence map›Paper›PMID 29643704›Full record

ArticleActa Cardiologica Sinica2018

Bioinformatic Analysis of the Possible Regulative Network of miR-30a/e in Cardiomyocytes 2 Days Post Myocardial Infarction.

Yiping Wang, Yingqiong Huang, Min Zhang, Xiaoqin Zhang, Xuemei Tang, Yan Kang

Open access · greenAbstract read
In one paragraph

Article in Acta Cardiologica Sinica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 42% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

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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 1 institution in 1 country.

Yiping WangIntensive Care Unit, West China Hospital, Sichuan University, Chengdu, 610041.
Yingqiong HuangEmergency Intensive Care Unit.
Min ZhangDepartment of Pharmacy, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, School of Clinical Medicine, University of Electronic Science and Technology of China, Chengdu, 610072, China.
Xiaoqin ZhangIntensive Care Unit.
Xuemei TangIntensive Care Unit.
Yan KangIntensive Care Unit, West China Hospital, Sichuan University, Chengdu, 610041.
Intensive Care Society · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBoth miR-30a and miR-30e are significantly downregulated in cardiomyocytes (CMs) 2 days (d) post myocardial infarction (MI). This study aimed to identify their possible regulative network in CMs 2d post-MI.

methodsThe dysregulated mRNAs in left ventricle tissues 2d post-MI in mice model were retrieved from one previous publication. The verified target genes of miR-30a/e and the predicted targets (upregulated 2d post-MI) were subjected to analysis of the involvement in biological processes according to their enrichment in gene ontology (GO) terms.

resultsThe known targets of miR-30a/e can regulate cellular responses to glucose starvation via targeting TP53, BECH1 and HSPA5, and also control cardiac epithelial to mesenchymal transition via targeting ETS-related gene (ERG), SNAI1 and NOTCH1. Bioinformatic prediction further showed that miR-30a might regulate some biological processes related to CM responses to MI via some other potential targets, such as platelet aggregation (possibly via ITGB3 and STXBP1), regulation of intrinsic apoptotic signaling pathway in response to deoxyribonucleic acid damage (possibly via SNAI1) and positive regulation of tyrosine phosphorylation of Stat3 protein (possibly via LYN, SOCS3 and SLCF1).

conclusionsConsidering the importance of these genes in cellular responses to MI, it is meaningful to further investigate the regulative effect of miR-30a/e on their expression, as well as their regulative network in CMs.

Indexed as

Bioinformatic analysismiR-30amiR-30eMyocardial infarction

Identifiers

PMID29643704
PMCPMC5863072
OpenAlexW2797990966

What OpenQuestion holds

Textmetadata
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.