ArticleJournal of lipid research2012
Targeted metabolomics for discrimination of systemic inflammatory disorders in critically ill patients.
Article in Journal of lipid research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
72 citing papers in PubMed.
- A pilot study of alternative substrates in the critically Ill subject using a ketogenic feed.Nature communications · 2023Trial
- Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsis.BMC anesthesiology · 2023Trial
- Machine Learning Algorithms Identify Pathogen-Specific Biomarkers of Clinical and Metabolomic Characteristics in Septic Patients with Bacterial Infections.BioMed research international · 2020Trial
- Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach.Scientific reports · 2016Trial
- Critical Illness-Related Alterations in Plasma Phosphatidylcholine Species Reveal Selective Induction of PC 32:0.International journal of molecular sciences · 2026Article
- Metabolic footprint of sepsis and septic shock: A narrative review.World journal of critical care medicine · 2026Review
- Lysophosphatidylcholines are associated with amyloidosis in early stages of Alzheimer's disease.Nature aging · 2026Article
- Research Progress on Sepsis Diagnosis and Monitoring Based on Omics Technologies: A Review.Diagnostics (Basel, Switzerland) · 2025Review
- Metabolomics for the Diagnosis of Secondary Infections in Critically Ill Patients With COVID-19.Critical care explorations · 2025Article
- Pneumonia-specific plasma metabolite profiles among patients hospitalised with infection in Southeast Asia.ERJ open research · 2025Article
- Advances in metabolomics in critically ill patients with sepsis and septic shock.Clinical and experimental emergency medicine · 2025Article
- Comparative metabolomic analysis reveals shared and unique features of COVID-19 cytokine storm and surgical sepsis.Scientific reports · 2025Article
- Exploring the circulating metabolome of sepsis: metabolomic and lipidomic profiles sampled in the ambulance.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Features of Metabolites and Biomarkers in Inflammatory and Infectious Complications of Childhood Cancers.Biomedicines · 2024Article
- Platelet Metabolites as Candidate Biomarkers in Sepsis Diagnosis and Management Using the Proposed Explainable Artificial Intelligence Approach.Journal of clinical medicine · 2024Article
- Integrative analysis of metabolomics and transcriptomics to uncover biomarkers in sepsis.Scientific reports · 2024Article
- Sepsis, Management & Advances in Metabolomics.Nanotheranostics · 2024Review
- Association of genetically predicted 486 blood metabolites on the risk of Alzheimer's disease: a Mendelian randomization study.Frontiers in aging neuroscience · 2024Article
- A targeted metabolomics approach for sepsis-induced ARDS and its subphenotypes.Critical care (London, England) · 2023Article
- Special Issue "Recent Advances in Neonatal Sepsis".Journal of clinical medicine · 2023Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The occurrence of systemic inflammatory response syndrome (SIRS) remains a major problem in intensive care units with high morbidity and mortality. The differentiation between noninfectious and infectious etiologies of this disorder is challenging in routine clinical practice. Many biomarkers have been suggested for this purpose; however, sensitivity and specificity even of high-ranking biomarkers remain insufficient. Recently, metabolic profiling has attracted interest for biomarker discovery. The objective of this study was to identify metabolic biomarkers for differentiation of SIRS/sepsis. A total of 186 meta-bolites comprising six analyte classes were determined in 143 patients (74 SIRS, 69 sepsis) by LC-MS/MS. Two markers (C10:1 and PCaaC32:0) revealed significantly higher concentrations in sepsis. A classification model comprising these markers resulted in 80% and 70% correct classifications in a training set and a test set, respectively.This study demonstrates that acylcarnitines and glycerophosphatidylcholines may be helpful for differentiation of infectious from noninfectious systemic inflammation due to their significantly higher concentration in sepsis patients. Considering the well known pathophysiological relevance of lipid induction by bacterial components, metabolites as identified in this study are promising biomarker candidates in the differential diagnosis of SIRS and sepsis.
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