Background: Sepsis is the leading cause of death in critically ill patients. Although it is well known that the immune system plays a key role in sepsis, exactly how it works remains unknown.
Methods: In our study, we used weighted gene co-expression network analysis (WGCNA) to screen out the immune-related genes that may play a critical role in the process of sepsis.
Results: A total of three sepsis-related hub genes were screened for further verification. Subsequent analysis of immune subtypes suggested their potential predictive effect in the clinic.
Conclusion: Our study shows that three immune-related genes CHMP1A, MED15 and MGAT1 are important biomarkers of sepsis. The screened genes may help to distinguish normal individuals from patients with different degrees of sepsis.



中文翻译：

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逐步构建用于识别脓毒症发生和进展的新型生物标志物的基因共表达网络分析

背景：脓毒症是危重患者死亡的主要原因。尽管众所周知免疫系统在脓毒症中起着关键作用，但它的确切工作原理仍然未知。
方法：在我们的研究中，我们使用加权基因共表达网络分析（WGCNA）筛选出可能在脓毒症过程中起关键作用的免疫相关基因。
结果：共筛选出三个与脓毒症相关的中枢基因，以供进一步验证。随后对免疫亚型的分析表明它们在临床中具有潜在的预测作用。
结论：我们的研究表明，三个免疫相关基因 CHMP1A、MED15 和 MGAT1 是脓毒症的重要生物标志物。筛选的基因可能有助于区分正常个体和不同程度的脓毒症患者。