ArticleAmerican journal of translational research2020
Two gene set variation indexes as potential diagnostic tool for sepsis.
Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Diagnostic Utility of Host RNA Biosignatures in Adult Patients With Sepsis: A Systematic Review and Meta-Analysis.Critical care explorations · 2025Pooled it
- KLRB1 gene in tumor immune regulation and disease prognosis: a multidimensional role review.Discover oncology · 2026Review
- Exploring proteomic signatures in sepsis and non-infectious systemic inflammatory response syndrome.PloS one · 2026Observational
- In-depth bioinformatics analysis uncovers the crosstalk genes and immune interactions among diagnostic markers linked to natural killer cells in patients with cirrhosis and sepsis.Clinical and experimental medicine · 2025Article
- Exploring ENPP5 as a diagnostic biomarker for sepsis: a comprehensive bioinformatics analysis.BMC infectious diseases · 2025Article
- Uncovering host response in adults with severe community-acquired pneumonia: a proteomics and metabolomics perspective study.World journal of emergency medicine · 2025Article
- Monocyte-macrophage membrane expression of IL-1R2 is a severity biomarker in sepsis.Cell death & disease · 2025Article
- Candidate target genes in sepsis diagnosis and therapy: identifying hub genes with a spotlight on KLRB1.BMC infectious diseases · 2025Article
- A 5-transcript signature for discriminating viral and bacterial etiology in pediatric pneumonia.iScience · 2025Article
- Gene Expression Dysregulation in Whole Blood of Patients withInternational journal of molecular sciences · 2024Article
- Article
- Inflammation and Neurodegeneration in Glaucoma: Isolated Eye Disease or a Part of a Systemic Disorder? - Serum Proteomic Analysis.Journal of inflammation research · 2024Article
- Cross-Sectional and Longitudinal Associations of Serum LRG1 with Severity and Prognosis Among Adult Community-Acquired Pneumonia Patients.Journal of inflammation research · 2024Article
- A comprehensive analysis of immune features and construction of an immune gene diagnostic model for sepsis.BMC genomics · 2023Article
- [Lactate-induced up-regulation of PLEKHA4 promotes proliferation and apoptosis of human glioma cells].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023Article
- Single-Cell RNA Sequencing and Transcriptome Analysis Revealed the Immune Microenvironment and Gene Markers of Acute Respiratory Distress Syndrome.Journal of inflammation research · 2023Article
- LncRNA H19 alleviates sepsis-induced acute lung injury by regulating the miR-107/TGFBR3 axis.BMC pulmonary medicine · 2022Article
- Identification of hub genes for adult patients with sepsis via RNA sequencing.Scientific reports · 2022Article
- Identifying the molecular mechanisms of sepsis-associated acute kidney injury and predicting potential drugs.Frontiers in genetics · 2022Article
- Screening of Sepsis Biomarkers Based on Bioinformatics Data Analysis.Journal of healthcare engineering · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate diagnosis of sepsis remains challenging, new markers or combinations of markers are urgently needed. In the present study, we screened differentially expressed genes (DEGs) between sepsis and non-sepsis blood samples across three previously published gene expression data sets. Common upregulated and downregulated DEGs were ranked according to their average functional similarity. The ten genes (OLFM4, ORM1, CEP55, S100A12, S100P, LRG1, CEACAM8, MS4A4A, PLSCR1, and IL1R2) with the largest average functional similarity among the common upregulated genes and another ten genes (THEMIS, IL2RB, CD2, IL7R, CD3E, KLRB1, PVRIG, CCRR3, TGFBR3, and PLEKHA1) with the largest average functional similarity among the common downregulated genes were separately identified as the upregulated crucial gene set and the downregulated crucial gene set. Gene set variation analysis (GSVA) was used to obtain the GSVA index of each sample against the two crucial gene sets. Both the two crucial GSVA indexes may be robust markers for sepsis with high area under ROC curve. The diagnostic utility of the upregulated GSVA index was validated in another independent data set. Functional analyses revealed several sepsis-related pathways. In conclusion, we proposed two sepsis-related gene sets across multiple data sets and created two GSVA indexes with promising diagnostic value.
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