What is the clinical evidence from this study?

Study design: Other. Population: Diabetic cardiomyopathy. Intervention: STZ-induced diabetes vs. Healthy control. Primary outcome: mRNA expression of hub genes (Pdk4, Lipe, Igf1r, Serpine1, Bcl2l1) (p=<0.05).

March 8, 2023Open Access

Identification of Hub Genes Associated with Diabetic Cardiomyopathy Using Integrated Bioinformatics Analysis

Q: What are the key findings of this study?

Five hub genes (Pdk4, Lipe, Igf1r, Serpine1, and Bcl2l1) were significantly upregulated in the heart tissues of mice with STZ-induced diabetic cardiomyopathy compared to healthy controls.

HCHailong CuiZhengzhou University DHDie HuFudan University JXJing XuUniversity of Chinese Academy of Sciences

Key Result

Five hub genes (Pdk4, Lipe, Igf1r, Serpine1, and Bcl2l1) were significantly upregulated in the heart tissues of mice with STZ-induced diabetic cardiomyopathy compared to healthy controls.

Structured PICO

Population

Male C57BL/6 mice with STZ-induced type 1 diabetes and healthy controls used to validate hub genes identified via bioinformatics analysis of GEO datasets.

Intervention

Integrated bioinformatics analysis (WGCNA, GO, KEGG, PPI) and RT-qPCR validation

Outcome

Identification and validation of hub genes associated with diabetic cardiomyopathysurrogate

Identified five hub genes (Pdk4, Lipe, Serpine1, Igf1r, and Bcl2l1) that may serve as novel diagnostic and therapeutic targets for diabetic cardiomyopathy.

Main Result

p-value: p=<0.05

Limitations

Hub genes were generated from two different datasets and need to be further validated in a larger patient cohort.
The sample size of the study was relatively small, which may weaken the reliability of the conclusions.

Abstract

Abstract Diabetic cardiomyopathy (DCM) is a common cardiovascular complication of diabetes, which may threaten the quality of life and shorten life expectancy in diabetic population. However, the molecular mechanisms underlying the diabetes cardiomyopathy are not fully elucidated. We analyzed two datasets from Gene Expression Omnibus (GEO). Differentially expression analysis and weighted gene correlation network analysis (WGCNA) were used to screen key genes and molecules. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and protein-protein interaction (PPI) network analysis were constructed to identify hub genes. The diagnostic value of hub gene was evaluated using the receiver operating characteristic (ROC). Quantitative real-time PCR (RT-qPCR) was used to validate the hub genes. A total of 13 differentially co-expressed modules were selected by WGCNA and differential expression analysis. KEGG and GO analysis showed these DEGs were mainly enriched in lipid metabolism and myocardial hypertrophy pathway, cytomembrane and mitochondrion. As a result, six genes were identified as hub genes. Finally, five genes (Pdk4, Lipe, Serpine1, Igf1r, and Bcl2l1) were found significantly changed in both the validation dataset and experimental mice with DCM. In conclusion, the present study identified five genes which may help to provide novel targets for the diagnosis and treatment of DCM.

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