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Original Research

Open Access

Identifying six chromatin remodeling-related genes as diagnostic biomarkers in sepsis using bioinformatic analyses

  • Yansong Miao1,†
  • Ning Liu1,†
  • Lifeng Xing1
  • Bing Li1
  • Wei Xiao1
  • Junru Dai1
  • Xuchang Qin1
  • Yang He1
  • Yiming Zhao1
  • Zhonghua Chen1
  • Li Hu1
  • Lian Liu1
  • Zhongheng Zhang1,*,

1Department of Emergency Medicine, Sir Run-Run Shaw Hospital, Zhejiang University School of Medicine, 310016 Hangzhou, Zhejiang, China

DOI: 10.22514/sv.2025.060 Vol.21,Issue 5,May 2025 pp.1-13

Submitted: 12 January 2024 Accepted: 29 May 2024

Published: 08 May 2025

*Corresponding Author(s): Zhongheng Zhang E-mail: zh_zhang1984@zju.edu.cn

† These authors contributed equally.

Abstract

Background: Epigenetic modifications, such as chromatin remodeling, are critical in regulating sepsis immunity. Identifying differentially expressed chromatin remodeling-related genes (DE-CRRGs) may reveal potential therapeutic targets for sepsis. Methods: Using the GSE65682 dataset, we identified DE-CRRGs between sepsis and normal groups. Least absolute shrinkage and selection operator (LASSO) regression, support vector machine (SVM), and random forest algorithms were applied to screen hub genes. Immune cell infiltration was analyzed using cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT), and ceRNA regulatory and co-expression networks were constructed. Potential drugs were predicted using the Drug Gene Interaction Database. Results: We identified 17 DE-CRRGs and six hub genes: spondin 2 (SPON2), transglutaminase 2 (TGM2), matrix metalloproteinase 9 (MMP9), DNA Methyltransferase 1 (DNMT1), lymphocyte antigen 96 (LY96), and forkhead box protein 1 (FOXO1). These genes were significantly correlated with immune cell infiltration, particularly activated natural killer (NK) cells, cluster of differentiation (CD)8 T cells, and plasma cells. The hub genes were involved in interleukin-18 signaling and cell development. Additionally, 62 potential drugs for sepsis treatment were predicted. Conclusions: These findings provide insights into the epigenetic regulation of sepsis and suggest potential therapeutic targets and drugs for intervention.


Keywords

Sepsis; Chromatin remodeling; Diagnostic markers; ceRNA regulatory network; Drug prediction


Cite and Share

Yansong Miao,Ning Liu,Lifeng Xing,Bing Li,Wei Xiao,Junru Dai,Xuchang Qin,Yang He,Yiming Zhao,Zhonghua Chen,Li Hu,Lian Liu,Zhongheng Zhang. Identifying six chromatin remodeling-related genes as diagnostic biomarkers in sepsis using bioinformatic analyses. Signa Vitae. 2025. 21(5);1-13.

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