Evidence map›Paper›PMID 36046789›Full record

ArticleFrontiers in endocrinology2022

Integrated bioinformatic analysis reveals immune molecular markers and potential drugs for diabetic cardiomyopathy.

Qixin Guo, Qingqing Zhu, Ting Zhang, Qiang Qu, Iokfai Cheang, Shengen Liao, Mengli Chen, Xu Zhu, Mengsha Shi, Xinli Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Frontiers in immunology · 2026
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  5. Review
  6. Gene- and cell-based therapy in cardiovascular diseases.Journal of cardiovascular pharmacology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. ExploringPharmaceuticals (Basel, Switzerland) · 2024
    Article
  17. Article
  18. Research Progress of Coenzyme Q in Diabetes Mellitus and Its Common Complications.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Review
  19. Article
  20. 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

10 authors at 2 institutions in 1 country.

Qixin GuoDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qingqing ZhuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ting ZhangDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Qiang QuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Iokfai CheangDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Shengen LiaoDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Mengli ChenDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xu ZhuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Mengsha ShiDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xinli LiDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic cardiomyopathy (DCM) is a pathophysiological condition induced by diabetes mellitus that often causes heart failure (HF). However, their mechanistic relationships remain unclear. This study aimed to identify immune gene signatures and molecular mechanisms of DCM. Microarray data from the Gene Expression Omnibus (GEO) database from patients with DCM were subjected to weighted gene co-expression network analysis (WGCNA) identify co-expression modules. Core expression modules were intersected with the immune gene database. We analyzed and mapped protein-protein interaction (PPI) networks using the STRING database and MCODE and filtering out 17 hub genes using cytoHubba software. Finally, potential transcriptional regulatory factors and therapeutic drugs were identified and molecular docking between gene targets and small molecules was performed. We identified five potential immune biomarkers: proteosome subunit beta type-8 (

Indexed as

Diabetes MellitusDiabetic CardiomyopathiesAnimalsBiomarkersComputational BiologyGene Expression ProfilingGene Regulatory NetworksMolecular Docking SimulationTranscription FactorsBiomarkersTranscription Factorsbioinformaticsbiomarkerdiabetes mellitusdiabetic cardiomyopathymolecular dockingpotential drugs

Identifiers

PMID36046789
PMCPMC9421304
OpenAlexW4291465548

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.