Evidence map›Paper›PMID 30662576›Full record

ArticleDisease markers2018

Identification of Core Gene Biomarkers in Patients with Diabetic Cardiomyopathy.

Ning Li, Haiming Wu, Rongxin Geng, Qizhu Tang

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. The multifaceted role of MUC1 in tumor therapy resistance.Clinical and experimental medicine · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Dysfunctional network of hub genes in hypertrophic cardiomyopathy patients.American journal of translational research · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Potential Molecular Mechanism of theBioMed research international · 2020
    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

4 authors at 1 institution in 1 country.

Ning LiDepartment of Cardiology, Renmin Hospital of Wuhan University, Cardiovascular Research Institute of Wuhan University, Hubei Key Laboratory of Cardiology, Wuhan, China.ORCID 0000-0003-3175-8343
Haiming WuDepartment of Cardiology, Renmin Hospital of Wuhan University, Cardiovascular Research Institute of Wuhan University, Hubei Key Laboratory of Cardiology, Wuhan, China.
Rongxin GengDepartment of Neurosurgery, Renmin Hospital of Wuhan University, China.ORCID 0000-0002-9442-7202
Qizhu TangDepartment of Cardiology, Renmin Hospital of Wuhan University, Cardiovascular Research Institute of Wuhan University, Hubei Key Laboratory of Cardiology, Wuhan, China.ORCID 0000-0003-2210-3169
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic cardiomyopathy (DCM) is a disorder of the myocardium in diabetic patients, which is one of the critical complications of diabetes giving rise to an increased mortality. However, the underlying mechanisms of DCM remain incompletely understood presently. This study was designed to screen the potential molecules and pathways implicated with DCM. GSE26887 involving 5 control individuals and 7 DCM patients was selected from the GEO database to identify the differentially expressed genes (DEGs). DAVID was applied to perform gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. A protein-protein interaction (PPI) network was also constructed to visualize the interactions among these DEGs. To further validate significant genes and pathways, quantitative real-time PCR (qPCR) and Western blot were performed. A total of 236 DEGs were captured, including 134 upregulated and 102 downregulated genes. GO, KEGG, and the PPI network disclosed that inflammation, immune disorders, metabolic disturbance, and mitochondrial dysfunction were significantly enriched in the development of DCM. Notably, IL6 was an upregulated hub gene with the highest connectivity degree, suggesting that it may interact with a great many molecules and pathways. Meanwhile, SOCS3 was also one of the top 15 hub genes in the PPI network. Herein, we detected the protein level of STAT3 and SOCS3 in a mouse model with DCM. Western blot results showed that the protein level of SOCS3 was significantly lower while phosphorylated-STAT3 (P-STAT3) was activated in mice with DCM.

Indexed as

AnimalsCells, CulturedDiabetic CardiomyopathiesDisease Models, AnimalFibroblastsGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksGenetic MarkersGlucoseHumansInterleukin-6MaleMiceMyocytes, CardiacGenetic MarkersGlucoseIL6 protein, humanInterleukin-6SOCS3 protein, humanSTAT3 protein, humanSTAT3 Transcription FactorSuppressor of Cytokine Signaling 3 Protein

Identifiers

PMID30662576
PMCPMC6313979
OpenAlexW2904074457

What OpenQuestion holds

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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.