Ba Hongjun, Zhang Lili, Peng Huimin, He Xiufang, Lin Yuese, Li Xuandi, Li Shujuan, Zhu Ling, Qin Youzhen, Zhang Xing, Wang Yao
Department of Pediatric Cardiology, Heart Center, First Affiliated Hospital of Sun Yat-sen University, 58# Zhongshan Road 2, Guangzhou 510080, China.
Key Laboratory on Assisted Circulation, Ministry of Health, 58# Zhongshan Road 2, Guangzhou 510080, China.
J Immunol Res. 2023 Apr 6;2023:1774260. doi: 10.1155/2023/1774260. eCollection 2023.
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. . 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).
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 ( < 0.001), ( < 0.001), ( < 0.001), ( < 0.001), and ( < 0.001) upregulated expression in Chinese KD patients are consistent with our database analysis.
Neutrophils, macrophages, and activated dendritic cells are strongly linked to KD pathophysiology. Through immune-related signaling pathways, hub genes such as , , , , and may be implicated in KD advancement.
川崎病(KD)的特征是病因不明的炎症反应紊乱。免疫细胞与其发病密切相关,尽管免疫相关基因的表达以及可能涉及的免疫调节机制尚不清楚。本研究旨在确定与KD相关的重要免疫和炎症相关生物标志物及途径,以及它们与免疫细胞浸润的关联。从基因表达综合数据库收集基因芯片数据。采用差异表达分析、加权基因共表达网络分析(WGCNA)、最小绝对收缩和选择算子(LASSO)回归、基因本体论(GO)、京都基因与基因组百科全书(KEGG)以及基因集富集分析(GSEA)来寻找KD核心标志物。GSEA用于评估28种免疫细胞类型的浸润情况及其与关键基因标志物的联系。受试者工作特征(ROC)曲线用于检验核心标志物的诊断效能。最后,通过逆转录定量聚合酶链反应(RT-qPCR)在中国KD患者中验证核心基因的表达。
共发现151个独特基因。在WGCNA的10个共表达模块中,一个核心模块与KD的关联最强。确定了36个重叠基因。根据LASSO分析,6个核心基因是潜在的生物标志物。免疫浸润揭示了活化的效应记忆CD4 T细胞、中性粒细胞、活化的树突状细胞和巨噬细胞之间的联系。ROC曲线分析显示了这6个核心基因的诊断价值。核心基因在免疫和炎症途径中富集。在中国KD患者中, (<0.001)、 (<0.001)、 (<0.001)、 (<0.001)和 (<0.001)上调表达的RT-qPCR验证结果与我们的数据库分析一致。
中性粒细胞、巨噬细胞和活化的树突状细胞与KD病理生理学密切相关。通过免疫相关信号通路,诸如 、 、 、 和 等核心基因可能参与KD的进展。