Evidence map›Paper›PMID 32695227›Full record

ArticleCardiovascular therapeutics2020

MFGE8, ALB, APOB, APOE, SAA1, A2M, and C3 as Novel Biomarkers for Stress Cardiomyopathy.

Xiao-Yu Pan, Zai-Wei Zhang

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Genetic and Epigenetic Factors of Takotsubo Syndrome: A Systematic Review.International journal of molecular sciences · 2021
    Pooled it
  2. Review
  3. Article
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  8. Update of Takotsubo cardiomyopathy: Present experience and outlook for the future.International journal of cardiology. Heart & vasculature · 2022
    Review
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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

2 authors at 2 institutions in 1 country.

Xiao-Yu PanDepartment of Clinical Medical College, Jining Medical University, Jining, Shandong 272067, China.ORCID https://orcid.org/0000-0001-6608-2107
Zai-Wei ZhangDepartment of Cardiology, Jining No. 1 People's Hospital, Jining, Shandong 272011, China.ORCID https://orcid.org/0000-0001-8042-1195
Huaian First People’s Hospital · CNJining First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStress cardiomyopathy (SCM) is a transient reversible left ventricular dysfunction that more often occurs in women. Symptoms of SCM patients are similar to those of acute coronary syndrome (ACS), but little is known about biomarkers. The goals of this study were to identify the potentially crucial genes and pathways associated with SCM.

methodsWe analyzed microarray datasets GSE95368 derived from the Gene Expression Omnibus (GEO) database. Firstly, identify the differentially expressed genes (DEGs) between SCM patients in normal patients. Then, the DEGs were used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Finally, the protein-protein interaction (PPI) network was constructed and Cytoscape was used to find the key genes.

resultsIn total, 25 DEGs were identified, including 10 upregulated genes and 15 downregulated genes. These DEGs were mainly enriched in ECM-receptor interaction, dilated cardiomyopathy (DCM), human papillomavirus infection, and focal adhesion, whereas in GO function classification, they were mainly enriched in the extracellular region, positive regulation of the multicellular organismal process, establishment of localization, and intracellular vesicle.

conclusionSeven hub genes contained APOE, MFGE8, ALB, APOB, SAA1, A2M, and C3 identified as hub genes of SCM, which might be used as diagnostic biomarkers or molecular targets for the treatment of SCM.

Indexed as

Transcriptomealpha-MacroglobulinsAntigens, SurfaceApolipoprotein B-100Apolipoproteins EComplement C3Databases, GeneticGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMilk ProteinsProtein Interaction MapsSerum Albumin, HumanSerum Amyloid A ProteinSignal TransductionA2M protein, humanALB protein, humanalpha-MacroglobulinsAntigens, SurfaceAPOB protein, humanApoE protein, humanApolipoprotein B-100Apolipoproteins EC3 protein, humanComplement C3MFGE8 protein, humanMilk ProteinsSAA1 protein, humanSerum Albumin, HumanSerum Amyloid A Protein

Identifiers

PMID32695227
PMCPMC7350165
OpenAlexW3040488435

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.