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ORIGINAL RESEARCH

The Construction of ITP Diagnostic Modeling Based on the Expressions of Hub Genes Associated with M1 Polarization of Macrophages

ORCID Icon, , , , , , & show all
Pages 5905-5915 | Received 07 Mar 2022, Accepted 06 Sep 2022, Published online: 20 Oct 2022

Figures & data

Figure 1 Identification of DEGs. (A) The results of DEGs. (A1) The Volcano plot of DEGs; (A2) The Heatmap of DEGs. (B) The results of SVM-RFE analyses. (C) The results of LASSO analyses. (D) The Venn diagram of the intersections of LASSO regression analysis and SVM-RFE analyses.

Abbreviations: DEGs, differentially expressed genes; LASSO, least absolute shrinkage and selector operation; SVM-RFE, support vector machines-recursive feature elimination.
Figure 1 Identification of DEGs. (A) The results of DEGs. (A1) The Volcano plot of DEGs; (A2) The Heatmap of DEGs. (B) The results of SVM-RFE analyses. (C) The results of LASSO analyses. (D) The Venn diagram of the intersections of LASSO regression analysis and SVM-RFE analyses.

Figure 2 The expressions of hub genes in HCs and ITP groups. Yellow represents the ITP samples, blue represents the HCs samples.

Abbreviations: HCs, healthy controls; ITP, primary idiopathic thrombocytopenia.
Figure 2 The expressions of hub genes in HCs and ITP groups. Yellow represents the ITP samples, blue represents the HCs samples.

Figure 3 Functional enrichment analysis of DEGs. (A) The results of DO analysis. (B) The results of GO analysis. (C) The results of KEGG analysis.

Abbreviations: DEGs, differentially expressed genes; DO, disease ontology; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genome.
Figure 3 Functional enrichment analysis of DEGs. (A) The results of DO analysis. (B) The results of GO analysis. (C) The results of KEGG analysis.

Figure 4 Immune cell infiltration analysis. (A) The results of CIBERSORT. (B) The results of ssGSEA analysis, *p<0.05, **p<0.01. (C) Correlation analysis based on the results of ssGSEA analysis. Blue represents negative correlation; red represents positive correlation.

Figure 4 Immune cell infiltration analysis. (A) The results of CIBERSORT. (B) The results of ssGSEA analysis, *p<0.05, **p<0.01. (C) Correlation analysis based on the results of ssGSEA analysis. Blue represents negative correlation; red represents positive correlation.

Figure 5 Correlation analysis of immune cells and hub genes. (A1) Correlation analysis of CTH and immune cells. (A2) Correlation analysis of OSBP2 and immune cells. (A3) Correlation analysis of TAF8 and immune cells. (B1) The relationship of CTH and M1 macrophages. (B2) The relationship of OSBP2 and M1 macrophages. (B3) The relationship of TAF8 and M1 macrophages.

Figure 5 Correlation analysis of immune cells and hub genes. (A1) Correlation analysis of CTH and immune cells. (A2) Correlation analysis of OSBP2 and immune cells. (A3) Correlation analysis of TAF8 and immune cells. (B1) The relationship of CTH and M1 macrophages. (B2) The relationship of OSBP2 and M1 macrophages. (B3) The relationship of TAF8 and M1 macrophages.

Figure 6 Diagnostic effectiveness of the biomarkers for ITP. (A) The neural network model. (B) ROC analysis was used to validate the diagnostic effectiveness of the biomarkers for ITP. The blue circles represent neurons.

Figure 6 Diagnostic effectiveness of the biomarkers for ITP. (A) The neural network model. (B) ROC analysis was used to validate the diagnostic effectiveness of the biomarkers for ITP. The blue circles represent neurons.