ArticleComputational and structural biotechnology journal2021
Machine learning applied to serum and cerebrospinal fluid metabolomes revealed altered arginine metabolism in neonatal sepsis with meningoencephalitis.
Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Using molecular methods to diagnose, classify, and treat neonatal sepsis: a scoping review.Frontiers in pediatrics · 2025Pooled it
- Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsis.BMC anesthesiology · 2023Trial
- [Paeoniflorin alleviates cancer-related fatigue during chemotherapy for breast cancer by targeting EZH2/CCNE1 to regulate cell cycle and inflammatory microenvironment].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- Machine learning-based genome-wide association analysis to construct a clinical decision model for severe neonatal jaundice.Translational pediatrics · 2026Article
- Untargeted and Targeted Cerebrospinal Fluid Neurometabolomics via Chromatography-Mass Spectrometry-Based Methods.Molecules (Basel, Switzerland) · 2026Review
- [Lipid metabolomics-based biomarker analysis of neonatal sepsis in serum and cerebrospinal fluid].Se pu = Chinese journal of chromatography · 2026Article
- Article
- Metabolomics analysis identifies differential metabolites and potential diagnostic biomarkers among pediatric sepsis subtypes.PloS one · 2026Article
- Advancing approaches to identify young children at risk for post-discharge mortality: Protocol for a prospective observational cohort study in Western Kenya.BMJ paediatrics open · 2025Article
- Exploration of serum biomarkers in heart failure patients with preserved and reduced ejection fractions through analysis of heterogeneity.Biochemistry and biophysics reports · 2025Article
- A Metabolic Signature Specific to the Patients with Type 2 Diabetes and its Association with the Pathogenesis of Diabetic-Foot Syndrome.Journal of cardiovascular translational research · 2025Article
- Utilizing drip metabolites and predictive modeling for non-destructive freshness assessment in pork loin.NPJ science of food · 2025Article
- Gut microbiota metabolites impact immunologic responses to antiretroviral therapy in HIV-infected men who have sex with men.Infectious diseases of poverty · 2025Article
- Mechanisms of Homoarginine: Looking Beyond Clinical Outcomes.Acta physiologica (Oxford, England) · 2025Review
- Development and internal validation of a metabolism-related model for predicting 30-day mortality in neonatal sepsis.BMC infectious diseases · 2025Article
- Constructing a predictive model for early-onset sepsis in neonatal intensive care unit newborns based on SHapley Additive exPlanations explainable machine learning.Translational pediatrics · 2024Article
- Abnormalities in Clostridioides and related metabolites before ACTH treatment may be associated with its efficacy in patients with infantile epileptic spasm syndrome.CNS neuroscience & therapeutics · 2024Article
- Identification of CXCL16 as a diagnostic biomarker for obesity and intervertebral disc degeneration based on machine learning.Scientific reports · 2023Article
- Machine learning applications on neonatal sepsis treatment: a scoping review.BMC infectious diseases · 2023Article
- Regulated Arginine Metabolism in Immunopathogenesis of a Wide Range of Diseases: Is There a Way to Pass between Scylla and Charybdis?Current issues in molecular biology · 2023Review
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNeonatal sepsis with meningoencephalitis is a common complication of sepsis, which is a leading cause of neonatal death and neurological dysfunction. Early identification of neonatal sepsis with meningoencephalitis is particularly important for reducing brain damage. We recruited 70 patients with neonatal sepsis, 42 of which were diagnosed as meningoencephalitis, and collected cerebrospinal fluid (CSF) and serum samples. The purpose of this study was to find neonatal sepsis with meningoencephalitis-related markers using unbiased metabolomics technology and artificial intelligence analysis based on machine learning methods.
resultsWe found that the characteristics of neonatal sepsis with meningoencephalitis were manifested mainly as significant decreases in the concentrations of homo-l-arginine, creatinine, and other arginine metabolites in serum and CSF, suggesting possible changes in nitric oxide synthesis. The antioxidants taurine and proline in the serum of the neonatal sepsis with meningoencephalitis increased significantly, suggesting abnormal oxidative stress. Potentially harmful bile salts and aromatic compounds were significantly increased in the serum of the group with meningoencephalitis. We compared different machine learning methods and found that the lasso algorithm performed best. Combining the lasso and XGBoost algorithms was successful in predicting the concentration of homo-l-arginine in CSF per the concentrations of metabolite markers in the serum.
conclusionsOn the basis of machine learning combined with analysis of the serum and CSF metabolomes, we found metabolite markers related to neonatal sepsis with meningoencephalitis. The characteristics of neonatal sepsis with meningoencephalitis were manifested mainly by changes in arginine metabolism and related changes in creatinine metabolism.
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