ArticleFrontiers in medicine2023
VNN1 as a potential biomarker for sepsis diagnosis and its implications in immune infiltration and tumor prognosis.
Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- Predictive Value of PreoperativeInternational journal of molecular sciences · 2026Article
- Berberine Impedes Acute Pancreatitis Development by Suppressing VNN1 Expression and the NF-κB Signaling Pathway.Molecular biotechnology · 2026Article
- METTL3-mediated mActa biochimica et biophysica Sinica · 2025Article
- RNA-Seq analysis reveals the long noncoding RNAs associated with immunity in wild Myotis myotis bats.BMC genomics · 2025Article
- Differences in the Blood Levels of HIF-1α and VNN1 and Expression of HIF1A and NFKB1 in Leukocytes in Cardiological Patients with Risk of Postoperative Complications.Bulletin of experimental biology and medicine · 2025Article
- Identification of Thyroid Genes Whose Expression Is Altered by Neonatal Irradiation in Rats.International journal of molecular sciences · 2025Article
- Glycolipid Metabolic Disorders, Metainflammation, Oxidative Stress, and Cardiovascular Diseases: Unraveling Pathways.Biology · 2024Review
- The application of metagenomics, radiomics and machine learning for diagnosis of sepsis.Frontiers in medicine · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study explored novel biomarkers for diagnosing sepsis, a severe disease prevalent in clinical settings, particularly threatening to elderly patients. Methods: Using microarray gene expression datasets and fatty acid metabolism signatures, we identified differentially expressed genes between sepsis and healthy control groups. Correlations between candidate genes, immune cells, and immune function were assessed. Logistic regression analysis and single-gene GSEA analysis were performed to identify potential biomarkers. The biomarkers' association with different types of tumors was investigated. Results: Twelve genes related to fatty acid metabolism were excluded. CA4, OLAN, and VNN1 were found relevant to immune cells and function. Among these, only VNN1 showed statistical significance ( Conclusion: VNN1 holds promise as a potential biomarker for sepsis diagnosis and is significant in identifying immune infiltration in tumor tissue and predicting tumor prognosis.
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Registered trials
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