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Updated: Aug 10, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
Peripheral Blood Genes Crosstalk between COVID-19 and Sepsis
1Department of Biochemistry and Molecular Biology, Basic Medical College, Chongqing Medical University, Yuzhong District, Yi XueYuan Road, No 1, Chongqing 400016, China.
Insights
Severe coronavirus disease 2019 (COVID-19) shares molecular similarities with sepsis. This study identified common gene expression patterns and biomarkers, offering potential new treatments for both conditions.
Area of Science:
- Molecular biology
- Immunology
- Genomics
Background:
- Severe coronavirus disease 2019 (COVID-19) has caused a global increase in mortality.
- Sepsis, a life-threatening condition from immune dysregulation, shares similarities with COVID-19.
- The molecular mechanisms linking COVID-19 and sepsis remain unclear.
Purpose of the Study:
- To identify shared transcriptional signatures, regulators, and pathways between COVID-19 and sepsis.
- To uncover potential therapeutic targets for both diseases.
- To investigate SARS-CoV-2 infection as a risk factor for sepsis.
Main Methods:
- Acquired gene expression data for COVID-19 (GSE179850) and sepsis (GSE134347) from GEO.
- Identified common differentially expressed genes (DEGs) by intersecting datasets.
- Performed functional enrichment, pathway, transcription factor, miRNA, and drug interaction analyses on common DEGs.
Main Results:
- Identified 307 common DEGs between COVID-19 and sepsis.
- Constructed protein-protein interaction networks and identified hub genes.
- Revealed common GO and KEGG pathways, transcription factor-gene interactions, and DEG-miRNA networks.
- Identified 10 central hub genes as potential biomarkers via ROC analysis.
Conclusions:
- COVID-19 and sepsis share significant molecular underpinnings.
- SARS-CoV-2 infection is a risk factor for developing sepsis.
- The identified biomarkers and pathways offer potential therapeutic avenues for COVID-19 patients with sepsis.
Abstract:
Severe coronavirus disease 2019 (COVID-19) has led to a rapid increase in death rates all over the world. Sepsis is a life-threatening disease associated with a dysregulated host immune response. It has been shown that COVID-19 shares many similarities with sepsis in many aspects. However, the molecular mechanisms underlying sepsis and COVID-19 are not well understood. The aim of this study was to identify common transcriptional signatures, regulators, and pathways between COVID-19 and sepsis, which may provide a new direction for the treatment of COVID-19 and sepsis. First, COVID-19 blood gene expression profile (GSE179850) data and sepsis blood expression profile (GSE134347) data were obtained from GEO. Then, we intersected the differentially expressed genes (DEG) from these two datasets to obtain common DEGs. Finally, the common DEGs were used for functional enrichment analysis, transcription factor and miRNA prediction, pathway analysis, and candidate drug analysis. A total of 307 common DEGs were identified between the sepsis and COVID-19 datasets. Protein-protein interactions (PPIs) were constructed using the STRING database. Subsequently, hub genes were identified based on PPI networks. In addition, we performed GO functional analysis and KEGG pathway analysis of common DEGs, and found a common association between sepsis and COVID-19. Finally, we identified transcription factor-gene interaction, DEGs-miRNA co-regulatory networks, and protein-drug interaction, respectively. Through ROC analysis, we identified 10 central hub genes as potential biomarkers. In this study, we identified SARS-CoV-2 infection as a high risk factor for sepsis. Our study may provide a potential therapeutic direction for the treatment of COVID-19 patients suffering from sepsis.
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