Evidence map›Paper›PMID 28286759›Full record

ReviewBioMed research international2017

Bioinformatics Analysis Reveals MicroRNAs Regulating Biological Pathways in Exercise-Induced Cardiac Physiological Hypertrophy.

Jiahong Xu, Yang Liu, Yuan Xie, Cuimei Zhao, Hongbao Wang

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Exercise Mediates Heart Protection via Non-coding RNAs.Frontiers in cell and developmental biology · 2020
    Review
  3. Review
  4. Article
  5. Article
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 at 2 institutions in 1 country.

Jiahong XuDepartment of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
Yang LiuDepartment of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
Yuan XieDepartment of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.
Cuimei ZhaoDepartment of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China.ORCID 0000-0001-6239-498X
Hongbao WangDepartment of Cardiology, Yangpu Hospital, Tongji University School of Medicine, Shanghai 200090, China.ORCID 0000-0002-1103-3292
Tongji University · CNYangpu Hospital of Tongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exercise-induced physiological cardiac hypertrophy is generally considered to be a type of adaptive change after exercise training and is beneficial for cardiovascular diseases. This study aims at investigating exercise-regulated microRNAs (miRNAs) and their potential biological pathways. Here, we collected 23 miRNAs from 8 published studies. MirPath v.3 from the DIANA tools website was used to execute the analysis, and TargetScan was used to predict the target genes. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses were performed to identify potential pathways and functional annotations associated with exercise-induced physiological cardiac hypertrophy. Various miRNA targets and molecular pathways, such as Fatty acid elongation, Arrhythmogenic right ventricular cardiomyopathy (ARVC), and ECM-receptor interaction, were identified. This study could prompt the understanding of the regulatory mechanisms underlying exercise-induced physiological cardiac hypertrophy.

Indexed as

Cardiomegaly, Exercise-InducedComputational BiologyAnimalsArrhythmogenic Right Ventricular DysplasiaHumansMicroRNAsMicroRNAs

Identifiers

PMID28286759
PMCPMC5329648
OpenAlexW2588518729

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.