Evidence map›Paper›PMID 31919492›Full record

ArticleBioscience reports2020

A susceptibility biomarker identification strategy based on significantly differentially expressed ceRNA triplets for ischemic cardiomyopathy.

Yuqing Zou, Yahui Wang, Zherou Rong, Benliang Wei, Yang Liu, Zhaona Song, Wenshuai Li, Erqiang Hu, Gui Deng, Yuehan He and 3 more

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

Article in Bioscience reports, 2020. 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
0.2field-weighted citation impact, top 54% 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, 4 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 1 institution in 1 country.

Yuqing ZouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Yahui WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Zherou RongCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Benliang WeiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Yang LiuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Zhaona SongCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Wenshuai LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Erqiang HuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Gui DengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Yuehan HeCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Junjie LvCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Lina ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Wan LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemic cardiomyopathy (ICM) is a common human heart disease that causes death. No effective biomarkers for ICM could be found in existing databases, which is detrimental to the in-depth study of this disease. In the present study, ICM susceptibility biomarkers were identified using a proposed strategy based on RNA-Seq and miRNA-Seq data of ICM and normal samples. Significantly differentially expressed competing endogenous RNA (ceRNA) triplets were constructed using permutation tests and differentially expressed mRNAs, miRNAs and lncRNAs. Candidate ICM susceptible genes were screened out as differentially expressed genes in significantly differentially expressed ceRNA triplets enriched in ICM-related functional classes. Finally, eight ICM susceptibility genes and their significantly correlated lncRNAs with high classification accuracy were identified as ICM susceptibility biomarkers. These biomarkers would contribute to the diagnosis and treatment of ICM. The proposed strategy could be extended to other complex diseases without disease biomarkers in public databases.

Indexed as

BiomarkersCardiomyopathiesGene Regulatory NetworksHumansRNABiomarkersRNAceRNAICMlncRNAmiRNAmRNA

Identifiers

PMID31919492
PMCPMC6981099
OpenAlexW2999799288

What Socratic 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 Socratic graph.