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  4. Vol 4, Issue 8, 2022

Differential Genes and Traditional Chinese Medicine Prediction of Dilated Cardiomyopathy Were Analyzed Based on Bioinformatics

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DOI: 10.23977/medcm.2022.040803 | Downloads: 9 | Views: 415

Author(s)

Weijia Chen 1, Zhizheng Xing 2, Liangyu Cui 2, Yuying Qi 2, Jing Ma 2

Affiliation(s)

1 Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, 712046, China
2 Department of Traditional Chinese Medicine, Xijing Hospital, Air Force Medical University, Xi'an Shaanxi, 710032, China

Corresponding Author

Jing Ma

ABSTRACT

Objective: To screen the key genes and signal pathways of Dilated cardiomyopathy (DCM) by bioinformatics method and predict the potential TCM for the treatment of DCM. Methods: The Gene Expression Omnibus (GEO) data platform was used to screen the original Gene chip dataset GSE120895 as a sample for research, and the differences of GSE120895 were analyzed by LimMA package of R software. After data quality correction, the key genes in the differential genes were determined by Degree score. Key genes were imported into DAVID database for gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. STRING database and Cytoscape software were used to construct and analyze the protein-protein interaction network (PPI) of key genes. The key genes were screened by Coremine Medical database to predict the potential therapeutic effect of traditional Chinese medicine for DCM. The chemical components of traditional Chinese medicine were obtained from TCMSP database, and Cytoscape was used to construct the "drug-active ingredient-target" network diagram. Results: There were 55 differentially expressed genes in dataset GSE120895, Fifteen key genes (CHGB, DBNL, FGFR2, GABRA4, IGFBP2, LINGO1, MME, NES, NPPA, RGS4, SERPINE2, SERTM1, SH3GL2, SNCA, TAGLN) were screened out. GO analysis results showed that key genes in biological processes (BP) were mainly enriched in the negative regulation of neuronal apoptosis, response to lipopolysaccharide, and central nervous system development. In the cellular component (CC), it was mainly enriched in the perinuclear region of cytoplasm, presynaptic cells and polymer complex. In molecular function (MF), high enrichment is related to receptor binding and hormone activity. KEGG enrichment results showed that key genes were mainly enriched in the phosphatidylinositol 3-kinase (PI3K) /AKT (protein kinase B) signaling pathway. Through the screening of key genes, we found salvia miltiorrhiae, ginseng, silkworm sand, corn balsam and other traditional Chinese medicines with potential curative effects, and the above traditional Chinese medicines are closely related to PTGS2, SCN5A, CHRNA7, CHRM1 and other targets. Conclusions: This study screened the differentially expressed genes of DCM, identified the key genes in DCM and the potential therapeutic effect of traditional Chinese medicine, which provides a new direction for the clinical treatment of DCM target and prescription, and also provides a reliable experimental basis for the prevention and treatment of DCM by traditional Chinese medicine.

KEYWORDS

Dilated Cardiomyopathy, Bioinformatics, Traditional Chinese Medicine Prediction, Differentially Expressed Gene

CITE THIS PAPER

Weijia Chen, Zhizheng Xing, Liangyu Cui, Yuying Qi, Jing Ma, Differential Genes and Traditional Chinese Medicine Prediction of Dilated Cardiomyopathy Were Analyzed Based on Bioinformatics. MEDS Chinese Medicine (2022) Vol. 4: 15-25. DOI: http://dx.doi.org/10.23977/medcm.2022.040803.

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