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. 2022 Sep 26:2022:6788569.
doi: 10.1155/2022/6788569. eCollection 2022.

Screening of Sepsis Biomarkers Based on Bioinformatics Data Analysis

Guibin Liang  1 , Jiuang Li  1 , Shiqian Pu  1 , Zhihui He  1
Affiliations

Screening of Sepsis Biomarkers Based on Bioinformatics Data Analysis

Guibin Liang et al. J Healthc Eng. .

Abstract

Methods: Gene expression profiles of GSE13904, GSE26378, GSE26440, GSE65682, and GSE69528 were obtained from the National Center for Biotechnology Information (NCBI). The differentially expressed genes (DEGs) were searched using limma software package. Gene Ontology (GO) functional analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed to elucidate molecular mechanisms of DEGs and screen hub genes.

Results: A total of 108 DEGs were identified in the study, of which 67 were upregulated and 41 were downregulated. 15 superlative diagnostic biomarkers (CCL5, CCR7, CD2, CD27, CD274, CD3D, GNLY, GZMA, GZMH, GZMK, IL2RB, IL7R, ITK, KLRB1, and PRF1) for sepsis were identified by bioinformatics analysis.

Conclusion: 15 hub genes (CCL5, CCR7, CD2, CD27, CD274, CD3D, GNLY, GZMA, GZMH, GZMK, IL2RB, IL7R, ITK, KLRB1, and PRF1) have been elucidated in this study, and these biomarkers may be helpful in the diagnosis and therapy of patients with sepsis.

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Conflict of interest statement

The authors declare that they have not competing interests.

Figures

Figure 1
Figure 1
Volcano plot shows the differentially expressed genes of sepsis.
Figure 2
Figure 2
Heat map analysis of identified DEGs between patients with sepsis and uninfected controls. The red color shows the upregulated DEGs, and the blue color shows the downregulated DEGs.
Figure 3
Figure 3
Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, Gene Ontology (GO) functional analysis of the up-regulated and down-regulated DEGs, respectively.
Figure 4
Figure 4
A co-expression module enriched of DEGs. Vertexes correspond to genes and edges correspond to expression correlation. Only the edges with the absolute value of PCC≥0.4 are shown. Up-regulated DEGs are colored in red while down-regulated DEGs are colored in blue.
Figure 5
Figure 5
The most significant module obtained from protein-protein interaction (PPI) network.
See this image and copyright information in PMC

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