ArticleMetabolites2020
Potential Lipid Signatures for Diagnosis and Prognosis of Sepsis and Systemic Inflammatory Response Syndrome.
Article in Metabolites, 2020. 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, 19 citations in OpenAlex.
- Clinical lipidomics in bacterial sepsis: a systematic review of serum and plasma evaluations.Metabolomics : Official journal of the Metabolomic Society · 2026Pooled it
- A Metabolomics-Driven Integrated Machine Learning Framework for Early Prediction of Recurrent Acute Pancreatitis.Metabolites · 2026Article
- Platelet lipidome alterations in septic shock: a matched case-control study.Research and practice in thrombosis and haemostasis · 2026Article
- Metabolomics for the Diagnosis of Secondary Infections in Critically Ill Patients With COVID-19.Critical care explorations · 2025Article
- Octanoyl-carnitine predicts post operative complications following coronary artery bypass surgery.Scientific reports · 2025Article
- Plasma lipidomic signatures reveal age-associated patterns of septic shock risk and immune dysregulation in sepsis.Frontiers in immunology · 2025Article
- The Plasma Lipidomic Landscape in Patients with Sepsis due to Community-acquired Pneumonia.American journal of respiratory and critical care medicine · 2024Article
- The shifting lipidomic landscape of blood monocytes and neutrophils during pneumonia.JCI insight · 2024Article
- Unraveling the Metabolic Changes in Acute Pancreatitis: A Metabolomics-Based Approach for Etiological Differentiation and Acute Biomarker Discovery.Biomolecules · 2023Article
- Mass-Spectrometry-Based Lipidomics Discriminates Specific Changes in Lipid Classes in Healthy and Dyslipidemic Adults.Metabolites · 2023Article
- Healthcare data quality assessment for improving the quality of the Korea Biobank Network.PloS one · 2023Article
- Lipid oxidation dysregulation: an emerging player in the pathophysiology of sepsis.Frontiers in immunology · 2023Review
- Sepsis: deriving biological meaning and clinical applications from high-dimensional data.Intensive care medicine experimental · 2021Review
- Serum Predose Metabolic Profiling for Prediction of Rosuvastatin Pharmacokinetic Parameters in Healthy Volunteers.Frontiers in pharmacology · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Systemic inflammatory response syndrome (SIRS) and sepsis are two conditions which are difficult to differentiate clinically and which are strongly impacted for prompt intervention. This study identified potential lipid signatures that are able to differentiate SIRS from sepsis and to predict prognosis. Forty-two patients, including 21 patients with sepsis and 21 patients with SIRS, were involved in the study. Liquid chromatography coupled to mass spectrometry and multivariate statistical methods were used to determine lipids present in patient plasma. The obtained lipid signatures revealed 355 features for the negative ion mode and 297 for the positive ion mode, which were relevant for differential diagnosis of sepsis and SIRS. These lipids were also tested as prognosis predictors. Lastly, L-octanoylcarnitine was found to be the most promising lipid signature for both the diagnosis and prognosis of critically ill patients, with accuracies of 75% for both purposes. In short, we presented the determination of lipid signatures as a potential tool for differential diagnosis of sepsis and SIRS and prognosis of these patients.
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Registered trials
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