Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki Disease
Kawasaki disease (KD) is characterized by disorder of immune response with unknown etiology. Immune cells may be closely related to the onset of KD. The focus of this research was to evaluate the significance of the infiltration of immune cells for this disease and find possible diagnostic biomarker...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Immunology Research |
| Online Access: | http://dx.doi.org/10.1155/2022/8739498 |
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| author | Hongjun Ba Yao Wang Lili Zhang Huishen Wang Zhan-Peng Huang Youzhen Qin |
| author_facet | Hongjun Ba Yao Wang Lili Zhang Huishen Wang Zhan-Peng Huang Youzhen Qin |
| author_sort | Hongjun Ba |
| collection | DOAJ |
| description | Kawasaki disease (KD) is characterized by disorder of immune response with unknown etiology. Immune cells may be closely related to the onset of KD. The focus of this research was to evaluate the significance of the infiltration of immune cells for this disease and find possible diagnostic biomarkers for KD. The Gene Expression Omnibus database was utilized to retrieve two freely accessible gene expression patterns (GSE68004 and GSE18606 datasets) from human KD and control specimens. 114 KD, as well as 46 control specimens, were searched for obtaining differentially expressed genes (DEGs). Candidate biological markers were determined utilizing the support vector machine recursive feature elimination and the least absolute shrinkage and selection operator regression model analysis. To assess discriminating capacity, the area under the receiver operating characteristic curve (AUC) was computed. The GSE73461 dataset was utilized to observe the biomarkers’ expression levels and diagnostic significance in KD (78 KD patients and 55 controls). CIBERSORT was employed to assess the composition profiles of the 22 subtypes of immune cell fraction in KD on the basis of combined cohorts. 37 genes were discovered. The DEGs identified were predominantly involved in arteriosclerotic cardiovascular disease, atherosclerosis, autoimmune disease of the urogenital tract, and bacterial infectious disease. Gene sets related to complement and coagulation cascades, Toll-like receptor signaling pathway, Fc gamma R-mediated phagocytosis, NOD-like receptor signaling pathway, and regulation of actin cytoskeleton underwent differential activation in KD as opposed to the controls. KD diagnostic biomarkers, including the alkaline phosphatase (ALPL), endoplasmic reticulum degradation-enhancing alpha-mannosidase-like protein 2 (EDEM2), and histone cluster 2 (HIST2H2BE), were discovered (AUC=1.000) and verified utilizing the GSE73461 dataset (AUC=1.000). Analyses of immune cell infiltration demonstrated that ALPL, EDEM2, and HIST2H2BE were linked to CD4 memory resting T cells, monocytes, M0 macrophages, CD8 T cells, neutrophils, and memory CD4 T cells. ALPL, EDEM2, and HIST2H2BE could be utilized as KD diagnostic indicators, and they can also deliver useful information for future research on the disease’s incidence and molecular processes. |
| format | Article |
| id | doaj-art-9fb633560fe74aeda267e76b9d1de7db |
| institution | Kabale University |
| issn | 2314-7156 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Immunology Research |
| spelling | doaj-art-9fb633560fe74aeda267e76b9d1de7db2025-02-03T05:50:31ZengWileyJournal of Immunology Research2314-71562022-01-01202210.1155/2022/8739498Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki DiseaseHongjun Ba0Yao Wang1Lili Zhang2Huishen Wang3Zhan-Peng Huang4Youzhen Qin5Department of Paediatric CardiologyGuangzhou Medical University Cancer HospitalDepartment of Paediatric CardiologyDepartment of Paediatric CardiologyKey Laboratory on Assisted CirculationDepartment of Paediatric CardiologyKawasaki disease (KD) is characterized by disorder of immune response with unknown etiology. Immune cells may be closely related to the onset of KD. The focus of this research was to evaluate the significance of the infiltration of immune cells for this disease and find possible diagnostic biomarkers for KD. The Gene Expression Omnibus database was utilized to retrieve two freely accessible gene expression patterns (GSE68004 and GSE18606 datasets) from human KD and control specimens. 114 KD, as well as 46 control specimens, were searched for obtaining differentially expressed genes (DEGs). Candidate biological markers were determined utilizing the support vector machine recursive feature elimination and the least absolute shrinkage and selection operator regression model analysis. To assess discriminating capacity, the area under the receiver operating characteristic curve (AUC) was computed. The GSE73461 dataset was utilized to observe the biomarkers’ expression levels and diagnostic significance in KD (78 KD patients and 55 controls). CIBERSORT was employed to assess the composition profiles of the 22 subtypes of immune cell fraction in KD on the basis of combined cohorts. 37 genes were discovered. The DEGs identified were predominantly involved in arteriosclerotic cardiovascular disease, atherosclerosis, autoimmune disease of the urogenital tract, and bacterial infectious disease. Gene sets related to complement and coagulation cascades, Toll-like receptor signaling pathway, Fc gamma R-mediated phagocytosis, NOD-like receptor signaling pathway, and regulation of actin cytoskeleton underwent differential activation in KD as opposed to the controls. KD diagnostic biomarkers, including the alkaline phosphatase (ALPL), endoplasmic reticulum degradation-enhancing alpha-mannosidase-like protein 2 (EDEM2), and histone cluster 2 (HIST2H2BE), were discovered (AUC=1.000) and verified utilizing the GSE73461 dataset (AUC=1.000). Analyses of immune cell infiltration demonstrated that ALPL, EDEM2, and HIST2H2BE were linked to CD4 memory resting T cells, monocytes, M0 macrophages, CD8 T cells, neutrophils, and memory CD4 T cells. ALPL, EDEM2, and HIST2H2BE could be utilized as KD diagnostic indicators, and they can also deliver useful information for future research on the disease’s incidence and molecular processes.http://dx.doi.org/10.1155/2022/8739498 |
| spellingShingle | Hongjun Ba Yao Wang Lili Zhang Huishen Wang Zhan-Peng Huang Youzhen Qin Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki Disease Journal of Immunology Research |
| title | Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki Disease |
| title_full | Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki Disease |
| title_fullStr | Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki Disease |
| title_full_unstemmed | Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki Disease |
| title_short | Prediction of Immune Infiltration Diagnostic Gene Biomarkers in Kawasaki Disease |
| title_sort | prediction of immune infiltration diagnostic gene biomarkers in kawasaki disease |
| url | http://dx.doi.org/10.1155/2022/8739498 |
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