ArticleBMC infectious diseases2023
Discrimination of serum metabolomics profiles in infants with sepsis, based on liquid chromatography-mass spectrometer.
Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Using molecular methods to diagnose, classify, and treat neonatal sepsis: a scoping review.Frontiers in pediatrics · 2025Pooled it
- [Lipid metabolomics-based biomarker analysis of neonatal sepsis in serum and cerebrospinal fluid].Se pu = Chinese journal of chromatography · 2026Article
- Systems biology approaches to unravelling neonatal sepsis and potential for precision diagnostics and therapeutics.Frontiers in pharmacology · 2026Review
- Immunometabolic chaos in septic shock.Journal of leukocyte biology · 2025Article
- Development and internal validation of a metabolism-related model for predicting 30-day mortality in neonatal sepsis.BMC infectious diseases · 2025Article
- Metabolomics in neonatal sepsis: A critical appraisal of current evidence.Computational and structural biotechnology journal · 2025Review
- Metabolomic Profiling by UPLC-QTOF/MS Reveals Potential Biomarkers and Metabolic Alterations in Pediatric Septic Shock.Journal of inflammation research · 2025Article
- Exploring the molecular mechanism of EGCG in preventing obesity-induced precocious puberty based on serum metabolomics and molecular docking.Frontiers in nutrition · 2025Article
- Metabolic and Microbial Dysregulation in Preterm Infants with Neonatal Respiratory Distress Syndrome: An Early Developmental Perspective.Journal of proteome research · 2024Article
- Biochemical indicators, cell apoptosis, and metabolomic analyses of the low-temperature stress response and cold tolerance mechanisms in Litopenaeus vannamei.Scientific reports · 2024Article
- Untargeted Metabolome Atlas for Sleep Phenotypes in the Hispanic Community Health Study/Study of Latinos.medRxiv : the preprint server for health sciences · 2024Article
- Metabolomics for Clinical Biomarker Discovery and Therapeutic Target Identification.Molecules (Basel, Switzerland) · 2024Review
- Metabolic biomarkers of neonatal sepsis: identification using metabolomics combined with machine learning.Frontiers in cell and developmental biology · 2024Article
- Neonatal Sepsis: Aetiology, Pathophysiology, Diagnostic Advances and Management Strategies.Clinical medicine insights. Pediatrics · 2024Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Sepsis is one of the most important problems to be addressed in pediatrics, characterized by insidious onset, rapid progression, and high rates of severe infection and even mortality. Biomarkers with high sensitivity and robustness are urgently required for the early diagnosis of infant sepsis. Serum metabolomic approaches based on liquid chromatography-mass spectrometry were used to analyze the samples from 30 infants with sepsis at an early stage and 30 infants with noninfectious diseases. Multivariate statistical analysis was used to screen for differential metabolites and ROC curves were generated to find potential biomarkers. Six metabolites, including phosphatidic acid (PA (8:0/14:0)), phosphatidyl ethanolamine (PE (16:0/18:2(9Z,12Z))), cytidine 5'-diphosphocholine (CDP-CHO), sphingomyelin (SM (d18:0/16:1(9Z))), prolylhydroxyproline and phosphorylcholine (P-CHO), were identified between the two groups. ROC curve analysis showed that prolylhydroxyproline (AUC = 0.832) had potential diagnostic values for infant sepsis. The AUC value was 0.859 (CI: 0.764, 0.954) in the combined model. Prolylhydroxyproline were found to be correlated with CRP and PCT levels, while PE and CDP-CHO associated with PCT levels. Pathway analysis indicated that glycerophospholipid metabolism, aminoacyl-tRNA biosynthesis and necroptosis pathways played important roles in infant sepsis. Network analysis showed that the differential metabolites were linked to ERK/ MAPK, NF-κB, AMPK, mTOR, and other classical inflammatory and metabolic signaling pathways. This study identified serum metabolite profiles and three metabolites as potential biomarkers in infants with sepsis. The findings will help improve the early diagnosis of sepsis in infants.
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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.