Author(s)

Wildman Santos

Affiliation(s)

University of Michigan School of Public Health, Ann Arbor, MI, USA.

Corresponding Author

Wildman Santos

ABSTRACT

Purpose: This study aimed to screen potential diagnostic markers in peripheral blood for major depressive disorder (MDD). Method: First, download the gene expression profile data set GSE32280 from the GEO database. The differentially expressed genes (DEGs) between MDD and normal control peripheral blood samples were screened using R software. The screened DEGs were subjected to GO functional annotation and KEGG pathway enrichment analysis; then, Cytoscape software was used to construct a protein-protein interaction (PPI) network, and key (hub) genes were screened out. ROC analysis was performed on hub genes using R software to identify hub genes with diagnostic value. Results: A total of 104 DEGs were screened out from the GSE32280 data set, including 47 up-regulated genes and 57 down-regulated genes. GO functional annotation showed that 104 DEGs were mainly involved in cell proliferation, inflammatory response, transport regulation and other functions. KEGG pathway enrichment analysis results showed that DEGs were mainly enriched in NK cell-mediated cytotoxicity, interaction between cytokines and their receptors, and chemokine signaling pathways. Obtain 16 hub genes from the PPI network. ROC analysis results of hub genes showed that CXCL1, EGF, IFNG and CXCL8 have high diagnostic value in MDD. Conclusion: CXCL1, EGF, IFNG and CXCL8 are important diagnostic markers for MDD.

KEYWORDS

Major depressive disorder; Bioinformatics; Diagnostic markers

CITE THIS PAPER

Wildman Santos. Screening of diagnostic markers for depression based on bioinformatics analysis. Journal of Trends in Life Sciences. 2024, 2(2): 11-16. DOI: 10.61784/jtlsv2n276.

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