Bioinformatics reveals diagnostic potential of cuproptosis-related genes in the pathogenesis of sepsis

Zhongyi Sun; Qiuyue Zhao; Jiahao Zhang; Yanan Hu; Jiachen Qu; Han Gao; Zhiyong Peng

doi:10.1016/j.heliyon.2023.e22664

Bioinformatics reveals diagnostic potential of cuproptosis-related genes in the pathogenesis of sepsis

Heliyon. 2023 Dec 3;10(1):e22664. doi: 10.1016/j.heliyon.2023.e22664. eCollection 2024 Jan 15.

Authors

Zhongyi Sun^{1

2}, Qiuyue Zhao^{1

2}, Jiahao Zhang^{1

2}, Yanan Hu^{1

2}, Jiachen Qu^{1

2}, Han Gao³, Zhiyong Peng^{1

2}

Affiliations

¹ Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, 430071, China.
² Clinical Research Center of Hubei Critical Care Medicine, Wuhan, Hubei, China.
³ Department of Respiratory and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, 430071, China.

Abstract

Background: Multiple modes of cell death occur during the development of sepsis. Among these patterns, cuproptosis has recently been identified as a regulated form of cell death. However, its impact on the onset and progression of sepsis remains unclear.

Method: We screened a dataset of gene expression profiles from patients with sepsis using the GEO database. Survival analysis was performed to analyze the relationship between cuproptosis-related genes (CRGs) and prognosis. Hub genes were identified through univariate Cox regression analysis. The diagnostic value of hub genes in sepsis was tested in both training sets (GSE65682) and validation sets (GSE134347). To examine the association between hub genes and immune cells, single-sample gene set enrichment analysis (ssGSEA) and Pearson correlation analysis were employed. Additionally, the CRGs were validated in a septic mouse model using real-time quantitative PCR (qRT-PCR) and immunohistochemistry (IHC).

Results: In sepsis, most CRGs were upregulated, with only DLD and MTF1 downregulated. High expression of three genes (GLE, LIAS, and PDHB) was associated with better prognosis, but only two hub genes (LIAS, PDHB) reached statistical significance. The receiver operating characteristic (ROC) analysis for diagnosing sepsis showed LIAS had a range of 0.793-0.906, while PDHB achieved values of 0.882 and 0.975 in the training and validation sets, respectively. ssGSEA analysis revealed a lower number of immune cells in the sepsis group, and there was a correlation between immune cell population and CRGs (LIAS, PDHB). Analysis in the septic mouse model demonstrated no significant difference in mRNA expression levels and IHC staining between LIAS and PDHB in heart and liver tissues, but up-regulation was observed in lung tissues. Furthermore, the mRNA expression levels and IHC staining of LIAS and PDHB were down-regulated in renal tissues.

Conclusions: Cuproptosis is emerging as a significant factor in the development of sepsis. LIAS and PDHB, identified as potential diagnostic biomarkers for cuproptosis-associated sepsis, are believed to play crucial roles in the initiation and progression of cuproptosis-induced sepsis.

Keywords: Cuproptosis; GEO; Immune; Sepsis; ssGSEA.