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揭示关键基因和生物学途径:创伤性凝血病(TIC)的生物信息学分析

Unveiling hub genes and biological pathways: A bioinformatics analysis of Trauma-Induced Coagulopathy (TIC).

作者信息

Zhang Lingang, Li Bo, Liu Jing, Bian Yan Feng, Lin Guo Xing, Zhou Ying

机构信息

Emergency Department, Yuncheng Central Hospital affiliated to Shanxi Medical University,Yuncheng, Shanxi, China.

Reproductive Medicine Department, Yuncheng Central Hospital affiliated to Shanxi Medical University, Yuncheng, Shanxi, China.

出版信息

PLoS One. 2025 Apr 29;20(4):e0322043. doi: 10.1371/journal.pone.0322043. eCollection 2025.

Abstract

BACKGROUND

Trauma-Induced Coagulopathy is a severe condition that rapidly manifests following traumatic injury and is characterized by shock, hypoperfusion, and vascular damage. This study employed bioinformatics methods to identify crucial hub genes and pathways associated with TIC.

METHODS

Microarray datasets (accession number GSE223245) were obtained from the Gene Expression Omnibus (GEO) database. The data were subjected analyses to identify the Differentially Expressed Genes (DEGs), which were further subjected to GO and KEGG pathway analyses. Subsequently, a Protein-Protein Interaction (PPI) network was constructed and hub DEGs closely linked to TIC were identified using CytoHubba, MCODE, and CTD scores. The diagnostic value of these hub genes was evaluated using Receiver Operating Characteristic (ROC) analysis.

RESULTS

Among the analyzed genes, 269 were identified as DEGs, comprising 103 upregulated and 739 downregulated genes. Notably, several significant hub genes were associated with the development of TIC, as revealed by bioinformatic analyses.

CONCLUSIONS

This study highlights the critical impact of newly discovered genes on the development and progression of TIC. Further validation through experimental research and clinical trials is required to confirm these findings.

摘要

背景

创伤性凝血病是一种严重疾病,在创伤性损伤后迅速显现,其特征为休克、灌注不足和血管损伤。本研究采用生物信息学方法来识别与创伤性凝血病相关的关键枢纽基因和通路。

方法

从基因表达综合数据库(GEO)获取微阵列数据集(登录号GSE223245)。对数据进行分析以识别差异表达基因(DEG),并进一步进行基因本体(GO)和京都基因与基因组百科全书(KEGG)通路分析。随后构建蛋白质 - 蛋白质相互作用(PPI)网络,并使用CytoHubba、MCODE和CTD评分识别与创伤性凝血病密切相关的枢纽差异表达基因。使用受试者工作特征(ROC)分析评估这些枢纽基因的诊断价值。

结果

在分析的基因中,269个被鉴定为差异表达基因,包括103个上调基因和739个下调基因。值得注意的是,生物信息学分析显示,几个重要的枢纽基因与创伤性凝血病的发展相关。

结论

本研究突出了新发现基因对创伤性凝血病发展和进展的关键影响。需要通过实验研究和临床试验进行进一步验证以证实这些发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/86f0/12040245/1353498e2bdf/pone.0322043.g001.jpg

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