Identification of Hub Biomarkers and Immune and Inflammation Pathways Contributing to Kawasaki Disease Progression with RT-qPCR Verification

Author:

Ba Hongjun12ORCID,Zhang Lili1ORCID,Peng Huimin1ORCID,He Xiufang1ORCID,Lin Yuese1ORCID,Li Xuandi1ORCID,Li Shujuan1ORCID,Zhu Ling1ORCID,Qin Youzhen1ORCID,Zhang Xing3ORCID,Wang Yao4ORCID

Affiliation:

1. Department of Pediatric Cardiology, Heart Center, First Affiliated Hospital of Sun Yat-sen University, 58# Zhongshan Road 2, Guangzhou 510080, China

2. Key Laboratory on Assisted Circulation, Ministry of Health, 58# Zhongshan Road 2, Guangzhou 510080, China

3. Department of Cardiology, Kunming Children’s Hospital, 288 Qianxing Road, Xishan District, Kunming 650034, Yunnan, China

4. Cancer Hospital, Guangzhou Medical University, Guangzhou 510095, China

Abstract

Background. Kawasaki disease (KD) is characterized by a disordered inflammation response of unknown etiology. Immune cells are closely associated with its onset, although the immune-related genes’ expression and possibly involved immune regulatory mechanisms are little known. This study aims to identify KD-implicated significant immune- and inflammation-related biomarkers and pathways and their association with immune cell infiltration. Patients and Methods. Gene microarray data were collected from the Gene Expression Omnibus database. Differential expression analysis, weighted gene coexpression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO) regression, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) were used to find KD hub markers. GSEA was used to assess the infiltration by 28 immune cell types and their connections to essential gene markers. Receiver operating characteristic (ROC) curves were used to examine hub markers’ diagnostic effectiveness. Finally, hub genes’ expressions were validated in Chinese KD patients by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Results. One hundred and fifty-one unique genes were found. Among 10 coexpression modules at WGCNA, one hub module exhibited the strongest association with KD. Thirty-six overlapping genes were identified. Six hub genes were potential biomarkers according to LASSO analysis. Immune infiltration revealed connections among activated and effector memory CD4+ T cells, neutrophils, activated dendritic cells, and macrophages. The six hub genes’ diagnostic value was shown by ROC curve analysis. Hub genes were enriched in immunological and inflammatory pathways. RT-qPCR verification results of FCGR1B ( P < 0.001 ), GPR84 ( P < 0.001 ), KREMEN1 ( P < 0.001 ), LRG1 ( P < 0.001 ), and TDRD9 ( P < 0.001 ) upregulated expression in Chinese KD patients are consistent with our database analysis. Conclusion. Neutrophils, macrophages, and activated dendritic cells are strongly linked to KD pathophysiology. Through immune-related signaling pathways, hub genes such as FCGR1B, GPR84, KREMEN1, LRG1, and TDRD9 may be implicated in KD advancement.

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Hindawi Limited

Subject

Immunology,General Medicine,Immunology and Allergy

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