Evidence map›Paper›PMID 38883603›Full record

ArticleFrontiers in endocrinology2024

Potential molecular and cellular mechanisms of the effects of cuproptosis-related genes in the cardiomyocytes of patients with diabetic heart failure: a bioinformatics analysis.

Jinhao Chen, Xu Yang, Weiwen Li, Ying Lin, Run Lin, Xianzhen Cai, Baoxin Yan, Bin Xie, Jilin Li

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Ubiquitination-Related Diagnostic Biomarkers for Diabetic Nephropathy: Insights From Multiomic Analysis, Drug Docking, and Experimental Validation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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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

9 authors.

Jinhao ChenDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Xu YangDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Weiwen LiDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Ying LinDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Run LinDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Xianzhen CaiDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Baoxin YanDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Bin XieDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Jilin LiDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes mellitus is an independent risk factor for heart failure, and diabetes-induced heart failure severely affects patients' health and quality of life. Cuproptosis is a newly defined type of programmed cell death that is thought to be involved in the pathogenesis and progression of cardiovascular disease, but the molecular mechanisms involved are not well understood. Therefore, we aimed to identify biomarkers associated with cuproptosis in diabetes mellitus-associated heart failure and the potential pathological mechanisms in cardiomyocytes. Materials: Cuproptosis-associated genes were identified from the previous publication. The GSE26887 dataset was downloaded from the GEO database. Methods: The consistency clustering was performed according to the cuproptosis gene expression. Differentially expressed genes were identified using the limma package, key genes were identified using the weighted gene co-expression network analysis(WGCNA) method, and these were subjected to immune infiltration analysis, enrichment analysis, and prediction of the key associated transcription factors. Consistency clustering identified three cuproptosis clusters. The differentially expressed genes for each were identified using limma and the most critical MEantiquewhite4 module was obtained using WGCNA. We then evaluated the intersection of the MEantiquewhite4 output with the three clusters, and obtained the key genes. Results: There were four key genes: Conclusion: HSDL2, BCO2, CORIN, and SNORA80E may regulate cardiomyocyte cuproptosis in patients with diabetes mellitus-associated heart failure through effects on the immune system. The product of the cuproptosis-associated gene

Indexed as

Computational BiologyHeart FailureMyocytes, CardiacDiabetic CardiomyopathiesFerroptosisGene Expression ProfilingGene Regulatory NetworksHumanscuproptosisdiabetic heart failureexosomefibrosisimmune regulation

Identifiers

PMID38883603
PMCPMC11176466

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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.