Analysis of signature genes and association with immune cells infiltration in pediatric septic shock

• Published in: Frontiers in immunology 2022-11, Vol.13, p.1056750-1056750
• Main Authors: Fan, Jiajie, Shi, Shanshan, Qiu, Yunxiang, Liu, Mingnan, Shu, Qiang
• Format: Article
• Language: English
• Subjects: Child; children; Gene Expression Profiling; Humans; immune cells infiltration; Immunology; Prognosis; ROC Curve; S100A12 Protein - genetics; septic shock; Shock, Septic - genetics; signature gene; weighted gene co-expression network analysis
• ISSN: 1664-3224; 1664-3224
• DOI: 10.3389/fimmu.2022.1056750

Early diagnosis of septic shock in children is critical for prognosis. This study committed to investigate the signature genes and their connection with immune cells in pediatric septic shock. We screened a dataset of children with septic shock from the GEO database and analyzed differentially expressed genes (DEGs). Functional enrichment analysis was performed for these DEGs. Weighted gene co-expression network analysis (WCGNA) was used to screen the key modules. Least absolute shrinkage and selection operator (LASSO) and random forest analysis were finally applied to identify the signature genes. Then gene set enrichment analysis (GSEA) was exerted to explore the signaling pathways related to the hub genes. And the immune cells infiltration was subsequently classified using CIBERSORT. A total of 534 DEGs were screened from GSE26440. The data then was clustered into 17 modules WGCNA, which MEgrey module was significantly related to pediatric septic shock (cor=-0.62,