ArticleShock (Augusta, Ga.)2020
S1PR1-Associated Molecular Signature Predicts Survival in Patients with Sepsis.
Article in Shock (Augusta, Ga.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- SphK1/S1P signaling-mediated crosstalk between pancreatic acinar cell and macrophage M1 polarization aggravates acute pancreatitis progression.International journal of biological sciences · 2026Article
- Serum metabolomics analysis of patients with chronic obstructive pulmonary disease and 'frequent exacerbator' phenotype.Molecular medicine reports · 2024Article
- Free Radical-Associated Gene Signature Predicts Survival in Sepsis Patients.International journal of molecular sciences · 2024Article
- Predicting patients with septic shock and sepsis through analyzing whole-blood expression of NK cell-related hub genes using an advanced machine learning framework.Frontiers in immunology · 2024Article
- Transcriptome Analysis of Co-Cultures of THP-1 Human Macrophages with Inactivated GerminatedJournal of fungi (Basel, Switzerland) · 2023Article
- Signal Transduction and Gene Regulation in the Endothelium.Cold Spring Harbor perspectives in medicine · 2023Review
- MicroRNA-363-3p/sphingosine-1-phosphate receptor 1 axis inhibits sepsis-induced acute lung injury via the inactivation of nuclear factor kappa-B ligand signaling.Experimental animals · 2022Article
- Sphingosine-1-phosphate and CRP as potential combination biomarkers in discrimination of COPD with community-acquired pneumonia and acute exacerbation of COPD.Respiratory research · 2022Observational
- FCGR2C: An emerging immune gene for predicting sepsis outcome.Frontiers in immunology · 2022Article
- SOX18-associated gene signature predicts sepsis outcome.American journal of translational research · 2022Article
- PET Study of Sphingosine-1-phosphate Receptor 1 Expression in Response toMolecular imaging · 2021Article
- A Precision Medicine Approach to Biomarker Utilization in Pediatric Sepsis-Associated Acute Kidney Injury.Frontiers in pediatrics · 2021Review
- JAK/STAT signaling pathway-mediated microRNA-181b promoted blood-brain barrier impairment by targeting sphingosine-1-phosphate receptor 1 in septic rats.Annals of translational medicine · 2020Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundSepsis is a potentially life-threatening complication of an underlying infection that quickly triggers tissue damage in multiple organ systems. To date, there are no established useful prognostic biomarkers for sepsis survival prediction. Sphingosine-1-phosphate (S1P) and its receptor S1P receptor 1 (S1PR1) are potential therapeutic targets and biomarkers for sepsis, as both are active regulators of sepsis-relevant signaling events. However, the identification of an S1PR1-related gene signature for prediction of survival in sepsis patients has yet to be identified. This study aims to find S1PR1-associated biomarkers which could predict the survival of patients with sepsis using gene expression profiles of peripheral blood to be used as potential prognostic and diagnostic tools.
methodsGene expression analysis from sepsis patients enrolled in published datasets from Gene Expression Omnibus was utilized to identify both S1PR1-related genes (co-expression genes or functional-related genes) and sepsis survival-related genes.
resultsWe identified 62-gene and 16-gene S1PR1-related molecular signatures (SMS) associated with survival of patients with sepsis in discovery cohort. Both SMS genes are significantly enriched in multiple key immunity-related pathways that are known to play critical roles in sepsis development. Meanwhile, the SMS performs well in a validation cohort containing sepsis patients. We further confirmed our SMSs, as newly developed gene signatures, perform significantly better than random gene signatures with the same gene size, in sepsis survival prognosis.
conclusionsOur results have confirmed the significant involvement of S1PR1-dependent genes in the development of sepsis and provided new gene signatures for predicting survival of sepsis patients.
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