ArticleScientific reports2023
Metabolomics-based study of potential biomarkers of sepsis.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Identifying potential key metabolic pathways and biomarkers in glaucoma: a systematic review and meta-analysis.BMJ open ophthalmology · 2025Pooled it
- Metabolic footprint of sepsis and septic shock: A narrative review.World journal of critical care medicine · 2026Review
- Metabolic and lipidomic stability in EDTA plasma from hospitalized patients: impact of refrigerated storage time and additional freeze-thaw cycle.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Screening Therapeutic Core Genes in Sepsis Using Network Pharmacology and Single-Cell RNA Sequencing.Biochemical genetics · 2026Article
- A tri-omics and machine learning framework identifies prognostic biomarkers and metabolic signatures in sepsis.Scientific reports · 2026Article
- Integrated multi-omics analysis reveals gut microbiota and metabolic characteristics in coronary heart disease.Frontiers in microbiology · 2026Article
- Gut microbiota dysbiosis in sepsis: mechanisms and the gut-organ axis with a focus on lung and brain interactions.Frontiers in microbiology · 2026Review
- Evidence of immune-metabolic imbalance prior to sepsis: a prospective study in the UK Biobank.Frontiers in nutrition · 2026Article
- Granisetron Alleviates Sepsis-Induced Intestinal Injury via Microbiota-Dependent Modulation of the Tryptophan-Quinolinic Acid-AhR Axis.Journal of inflammation research · 2026Article
- Mitochondrial Transplantation Restores Immune Cell Metabolism in Sepsis: A Metabolomics Study.International journal of molecular sciences · 2025Article
- Towards novel BIOmarkers to diagnose SEPsis (BIOSEP) in the emergency room: a protocol for a multicentre, prospective cohort study.BMJ open · 2025Article
- Identifying biomarkers distinguishing sepsis after trauma from trauma-induced SIRS based on metabolomics data: a retrospective study.Scientific reports · 2025Article
- Identifying early predictive and diagnostic biomarkers and exploring metabolic pathways for sepsis after trauma based on an untargeted metabolomics approach.Scientific reports · 2025Article
- From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies.Molecular biotechnology · 2025Review
- Advances in metabolomics in critically ill patients with sepsis and septic shock.Clinical and experimental emergency medicine · 2025Article
- Targeting Metabolic and Epigenetic Vulnerabilities in Glioblastoma with SN-38 and Rabusertib Combination Therapy.International journal of molecular sciences · 2025Article
- Metabolomics in neonatal sepsis: A critical appraisal of current evidence.Computational and structural biotechnology journal · 2025Review
- Comprehensive characterization of multi-omics landscapes between gut microbial metabolites and the druggable genome in sepsis.Frontiers in immunology · 2025Article
- Platelet Metabolites as Candidate Biomarkers in Sepsis Diagnosis and Management Using the Proposed Explainable Artificial Intelligence Approach.Journal of clinical medicine · 2024Article
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Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of our study was to explore potential characteristic biomarkers in patients with sepsis. Peripheral blood specimens from sepsis patients and normal human volunteers were processed by liquid chromatography-mass spectrometry-based analysis. Outlier data were excluded by principal component analysis and orthogonal partial least squares-discriminant analysis using the metabolomics R software package metaX and MetaboAnalyst 5.0 ( https://www.metaboanalyst.ca/home.xhtml ) online analysis software, and differential metabolite counts were identified by using volcano and heatmaps. The obtained differential metabolites were combined with KEGG (Kyoto Gene and Kyoto Encyclopedia) analysis to screen out potential core differential metabolites, and ROC curves were drawn to analyze the changes in serum metabolites in sepsis patients and to explore the potential value of the metabolites in the diagnosis of sepsis patients. By metabolomic analysis, nine differential metabolites were screened for their significance in guiding the diagnosis and differential diagnosis of sepsis namely: 3-phenyl lactic acid, N-phenylacetylglutamine, phenylethylamine, traumatin, xanthine, methyl jasmonate, indole, l-tryptophan and 1107116. In this study, nine metabolites were finally screened based on metabolomic analysis and used as potential characteristic biomarkers for the diagnosis of sepsis.
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Registered trials
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