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通过加权基因共表达网络分析(WGCNA)在多个基因表达综合数据库(GEO)数据集中鉴定脓毒症患儿的关键基因。

Identification of the key genes in children with sepsis by WGCNA in multiple GEO datasets.

作者信息

Shen Yue-Chuan, Yu Dao-Jun, Yu Ze, Zhao Xue

机构信息

Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

Department of Emergency, Zhoushan Hospital, Wenzhou Medical University, Zhoushan, China.

出版信息

Front Pediatr. 2025 May 16;13:1518908. doi: 10.3389/fped.2025.1518908. eCollection 2025.

Abstract

Pediatric sepsis is a serious condition causing organ failure owing to immune dysregulation, linked to high morbidity and mortality, highlighting the need for quick detection and treatment. This study aims to identify key genes involved in pediatric sepsis using three gene expression datasets from the Gene Expression Omnibus. We first identified differentially expressed genes (DEGs) with R, then conducted a gene set enrichment analysis, and integrated DEGs with important module genes from weighted gene coexpression network analysis. We also screened adult sepsis datasets to find genes specific to pediatric cases, ultimately validating XCL1 as a key gene. This study suggests that XCL1 is crucial in understanding pediatric sepsis etiology and its molecular mechanisms.

摘要

小儿脓毒症是一种严重疾病,因免疫失调导致器官衰竭,与高发病率和死亡率相关,凸显了快速检测和治疗的必要性。本研究旨在使用来自基因表达综合数据库的三个基因表达数据集,鉴定参与小儿脓毒症的关键基因。我们首先用R软件鉴定差异表达基因(DEGs),然后进行基因集富集分析,并将DEGs与来自加权基因共表达网络分析的重要模块基因整合。我们还筛选了成人脓毒症数据集以寻找小儿病例特有的基因,最终验证XCL1为关键基因。本研究表明,XCL1在理解小儿脓毒症病因及其分子机制方面至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6e5/12122430/0d2144d9410b/fped-13-1518908-g001.jpg

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