Mining of Differentially Expressed Genes in Diabetic Cardiomyopathy Based on GEO Database.
10.3881/j.issn.1000-503X.14510
- Author:
Jia-Min CHEN
1
;
Ying LI
1
;
Hui-Hui WU
1
;
Peng LIU
2
;
Yan ZHENG
1
;
Guo-Hai SU
1
Author Information
1. Research Center of Translational Medicine,Jinan Central Hospital,Cheeloo College of Medicine,Shandong University, Jinan 250013,China.
2. Research Center of Translational Medicine,Central Hospital Affiliated to Shandong First Medical University, Jinan 250013,China.
- Publication Type:Journal Article
- Keywords:
Acsl6;
GEO database;
Hmgcs2;
Pdk4;
Slc2a4;
Ucp3;
diabetic cardiomyopathy;
gene enrichment
- MeSH:
Animals;
Computational Biology/methods*;
Diabetes Mellitus;
Diabetic Cardiomyopathies/genetics*;
Gene Expression Profiling;
Glucose;
Protein Interaction Maps/genetics*;
Rats
- From:
Acta Academiae Medicinae Sinicae
2022;44(4):545-554
- CountryChina
- Language:Chinese
-
Abstract:
Objective To screen out the key genes leading to diabetic cardiomyopathy by analyzing the mRNA array associated with diabetic cardiomyopathy in the GEO database. Methods The online tool GEO2R of GEO was used to mine the differentially expressed genes (DEG) in the datasets GSE4745 and GSE5606.R was used to draw the volcano map of the DEG,and the Venn diagram was established online to identify the common DEG shared by the two datasets.The clusterProfile package in R was used for gene ontology annotation and Kyoto encyclopedia of genes and genomes pathway enrichment of the DEG.GSEA was used for gene set enrichment analysis,and STRING for the construction of a protein-protein interaction network.The maximal clique centrality algorithm in the plug-in Cytohubba of Cytoscape was used to determine the top 10 key genes. The expression of key genes was studied in the primary cardiomyocytes of rats and compared between the normal control group and high glucose group. Results The expression of Pdk4,Ucp3,Hmgcs2,Asl6,and Slc2a4 was consistent with the array analysis results.The expression of Pdk4,Ucp3,and Hmgcs2 was up-regulated while that of Acsl6 and Slc2a4 was down-regulated in the cardiomyocytes stimulated by high glucose (25 mmol/L) for 72 h. Conclusion Pdk4,Ucp3,Hmgcs2,Asl6,and Slc2a4 may be associated with the occurrence and development of diabetic cardiomyopathy,and may serve as the potential biomarkers of diabetic cardiomyopathy.
