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逐步构建基因共表达网络分析以识别脓毒症发生和进展的新生物标志物
Authors Yu X, Qu C, Ke L, Tong Z, Li W
Received 12 July 2021
Accepted for publication 10 September 2021
Published 24 September 2021 Volume 2021:14 Pages 6047—6057
DOI https://doi.org/10.2147/IJGM.S328076
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Scott Fraser
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.
Keywords: sepsis, gene co-expression network, biomarker, immune cell