ArticleJournal of inflammation research2025
Exploring Core Genes Associated with Sepsis and Systemic Inflammatory Response Syndrome Using Single-Cell Sequencing Technology.
Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Predictive value of serum S100A8/A9 for liver dysfunction in pregnant women with chronic hepatitis B.Virology journal · 2026Article
- Single-cell transcriptomics reveals pathogen-specific monocyte heterogeneity and potential biomarkers in gram-positive versus gram-negative bloodstream infections.World journal of emergency medicine · 2026Article
- Exploring the Potential Value of Inflammatory Response-Associated Genes in Chronic Rhinosinusitis with Nasal Polyps: An Integrated Bioinformatics and Experimental Validation Analysis.Journal of inflammation research · 2026Article
- Protective Gene Signatures in the Transition from SIRS to Sepsis: Insights from Integrative Transcriptomics and Validation Across Clinical Cohorts.Infection and drug resistance · 2026Article
- Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
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Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Purpose: As a crucial aspect of emergency critical medicine, sepsis has been in a difficult stage. As its "preparatory stage", SIRS has attracted the attention of the medical workers all over the world. The frequency of occurrence is on the rise, but there is a lack of certain indicators for the timely detection and recognition of illnesses. Methods: By virtue of scRNA-seq, this research has analyzed single-cell transcriptome data from samples taken from groups with septic death and systemic inflammatory response syndrome so as to identify the unique markers and patterns in immune response. Results: By revealing the status of twelve cell clusters of four major cell types in blood samples through UMAP cell clustering and the differences of major cell populations between the dead and SIRS patients, the results have elucidated the components of different cells and their marker genes in two disease states, and the response mechanism beneficial to disease diagnosis in blood samples. Conclusion: By establishing a theoretical framework centered on cellular and molecular regulation, the study has introduced a novel approach for diagnosing and treating sepsis death group and SIRS patients early, as well as differentiating and preventing these conditions.
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