ArticleMediators of inflammation2020
Identification of Potential Biomarkers and Immune Features of Sepsis Using Bioinformatics Analysis.
Article in Mediators of inflammation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.
- Identification of a Four-Gene Signature for Diagnosing Paediatric Sepsis.BioMed research international · 2022Pooled it
- The multidimensional signaling of ELANE: from congenital hematopoietic failure to immune microenvironment crosstalk and targeted interventions.Cell communication and signaling : CCS · 2026Review
- Identifying the shared genes and their related microRNAs, metabolites, and pathways in ischemic stroke and epilepsy.Scientific reports · 2026Article
- Multi-omics analysis identifies PPARα as a key inhibitor of hepatocyte ferroptosis in sepsis-associated liver injury.PloS one · 2026Article
- Quantitative Proteomics Reveals Fh15 as an Antagonist of TLR4 Downregulating the Activation of NF-κB, Inducible Nitric Oxide, Phagosome Signaling Pathways, and Oxidative Stress of LPS-Stimulated Macrophages.International journal of molecular sciences · 2025Article
- Blood from septic patients with necrotising soft tissue infection treated with hyperbaric oxygen reveal different gene expression patterns compared to standard treatment.BMC medical genomics · 2025Observational
- Identification of Aging-Related Hub Genes (ATP11B, RBBP7, DOCK10, and NUP160) as Potential Biomarkers and Therapeutic Targets in Sepsis.Human mutation · 2025Article
- Comprehensive characterization of multi-omics landscapes between gut microbial metabolites and the druggable genome in sepsis.Frontiers in immunology · 2025Article
- Multi-omics decodes host-specific and environmental microbiome interactions in sepsis.Frontiers in microbiology · 2025Review
- New insights into potential biomarkers and their roles in biological processes associated with hepatitis C-related liver cirrhosis by hepatic RNA-seq-based transcriptome profiling.Virus research · 2024Article
- Exploring the potential mechanisms of Rehmannia glutinosa in treating sepsis based on network pharmacology.BMC infectious diseases · 2024Article
- Assessment of hemostatic profile in neonates with necrotizing enterocolitis using Rotational Thromboelastometry (ROTEM).Pediatric research · 2024Observational
- Article
- Cross-Sectional and Longitudinal Associations of Serum LRG1 with Severity and Prognosis Among Adult Community-Acquired Pneumonia Patients.Journal of inflammation research · 2024Article
- HP promotes neutrophil inflammatory activation by regulating PFKFB2 in the glycolytic metabolism of sepsis.PloS one · 2024Article
- Identification of key biomarkers and therapeutic targets in sepsis through coagulation-related gene expression and immune pathway analysis.Frontiers in immunology · 2024Article
- The post-septic peripheral myeloid compartment reveals unexpected diversity in myeloid-derived suppressor cells.Frontiers in immunology · 2024Article
- Unveiling and validating biomarkers related to the IL-10 family in chronic sinusitis with nasal polyps: insights from transcriptomics and single-cell RNA sequencing analysis.Frontiers in molecular biosciences · 2024Article
- Exosome-Derived microRNA: Potential Target for Diagnosis and Treatment of Sepsis.Journal of immunology research · 2024Review
- Multilevel omics for the discovery of biomarkers in pediatric sepsis.Pediatric investigation · 2023Review
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis remains a major global concern and is associated with high mortality and morbidity despite improvements in its management. Markers currently in use have shortcomings such as a lack of specificity and failures in the early detection of sepsis. In this study, we aimed to identify key genes involved in the molecular mechanisms of sepsis and search for potential new biomarkers and treatment targets for sepsis using bioinformatics analyses. Three datasets (GSE95233, GSE57065, and GSE28750) associated with sepsis were downloaded from the public functional genomics data repository Gene Expression Omnibus. Differentially expressed genes (DEGs) were identified using R packages (Affy and limma). Functional enrichment of the DEGs was analyzed with the DAVID database. Protein-protein interaction networks were derived using the STRING database and visualized using Cytoscape software. Potential biomarker genes were analyzed using receiver operating characteristic (ROC) curves in the R package (pROC). The three datasets included 156 whole blood RNA samples from 89 sepsis patients and 67 healthy controls. Between the two groups, 568 DEGs were identified, among which 315 were upregulated and 253 were downregulated in the septic group. These genes were enriched for pathways mainly involved in the innate immune response, T-cell biology, antigen presentation, and natural killer cell function. ROC analyses identified nine genes-LRG1, ELANE, TP53, LCK, TBX21, ZAP70, CD247, ITK, and FYN-as potential new biomarkers for sepsis. Real-time PCR confirmed that the expression of seven of these genes was in accordance with the microarray results. This study revealed imbalanced immune responses at the transcriptomic level during early sepsis and identified nine genes as potential biomarkers for sepsis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.