Background TIC is a severe condition that rapidly manifests following traumatic injury, characterized by shock, hypoperfusion, and vascular damage. This study aimed to employ 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 underwent analysis to identify 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 through 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 the bioinformatics 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 warranted to confirm these findings.
No takes yet. Share an insight, caveat, or question.
Zhang et al. (2023) studied this question.