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

IF 3.5 3区 医学 Q2 IMMUNOLOGY Journal of Immunology Research Pub Date : 2023-04-06 DOI:10.1155/2023/1774260
Hongjun Ba, Lili Zhang, Huimin Peng, Xiufang He, Yuese Lin, Xuandi Li, Shujuan Li, Ling Zhu, Youzhen Qin, Xing Zhang, Yao Wang
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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.
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通过RT-qPCR验证川崎病进展的枢纽生物标志物和免疫和炎症途径的鉴定
背景。川崎病(KD)的特点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和可能涉及的免疫调节机制尚不清楚。本研究旨在确定kd相关的重要免疫和炎症相关生物标志物和途径及其与免疫细胞浸润的关系。患者和方法。基因微阵列数据来自基因表达Omnibus数据库。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(GO)、京都基因与基因组百科全书(KEGG)和基因集富集分析(GSEA)寻找KD枢纽标记。用GSEA评估28种免疫细胞类型的浸润及其与必需基因标记的联系。采用受试者工作特征(ROC)曲线检验枢纽标记物的诊断效果。最后,通过逆转录-定量聚合酶链反应(RT-qPCR)验证了枢纽基因在中国KD患者中的表达。结果。他们发现了151个独特的基因。在WGCNA的10个共表达模块中,一个hub模块与KD的相关性最强。共鉴定出36个重叠基因。根据LASSO分析,6个枢纽基因为潜在的生物标志物。免疫浸润揭示了活化和效应记忆CD4+ T细胞、中性粒细胞、活化树突状细胞和巨噬细胞之间的联系。ROC曲线分析显示6个枢纽基因的诊断价值。Hub基因在免疫和炎症通路中富集。中国KD患者中FCGR1B (P < 0.001)、GPR84 (P < 0.001)、KREMEN1 (P < 0.001)、LRG1 (P < 0.001)、TDRD9 (P < 0.001)表达上调的RT-qPCR验证结果与我们的数据库分析一致。结论。中性粒细胞、巨噬细胞和活化的树突状细胞与KD病理生理密切相关。通过免疫相关的信号通路,枢纽基因如FCGR1B、GPR84、KREMEN1、LRG1和TDRD9可能与KD进展有关。
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来源期刊
CiteScore
6.90
自引率
2.40%
发文量
423
审稿时长
15 weeks
期刊介绍: Journal of Immunology Research is a peer-reviewed, Open Access journal that provides a platform for scientists and clinicians working in different areas of immunology and therapy. The journal publishes research articles, review articles, as well as clinical studies related to classical immunology, molecular immunology, clinical immunology, cancer immunology, transplantation immunology, immune pathology, immunodeficiency, autoimmune diseases, immune disorders, and immunotherapy.
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