ArticleComputational and structural biotechnology journal2020
Lipid metabolic signatures deviate in sepsis survivors compared to non-survivors.
Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05336851 (Emergency PanorOmic Wide Association Study in Respiratory Infectious Disease), which is not on this map. Cited by 17 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Emergency PanorOmic Wide Association Study in Respiratory Infectious Disease (ePWAS-RID)
Who cites it
17 citing papers in PubMed.
- Multi-Omics and -Organ Insights into Energy Metabolic Adaptations in Early Sepsis Onset.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Serum Amyloid A: A Double-Edged Sword in Health and Disease.International journal of molecular sciences · 2025Review
- The progress of organ protection mechanisms in sepsis.Frontiers in immunology · 2025Review
- Sepsis subphenotypes: bridging the gaps in sepsis treatment strategies.Frontiers in immunology · 2025Review
- Article
- LASSO regression shows histidine and sphingosine 1 phosphate are linked to both sepsis mortality and endothelial damage.European journal of medical research · 2024Article
- The role of inflammatory response and metabolic reprogramming in sepsis-associated acute kidney injury: mechanistic insights and therapeutic potential.Frontiers in immunology · 2024Review
- Small molecule metabolites: discovery of biomarkers and therapeutic targets.Signal transduction and targeted therapy · 2023Review
- Association Between Hypocholesterolemia and Mortality in Critically Ill Patients With Sepsis: A Systematic Review and Meta-Analysis.Critical care explorations · 2023Review
- Lipid oxidation dysregulation: an emerging player in the pathophysiology of sepsis.Frontiers in immunology · 2023Review
- Using a multiomics approach to unravel a septic shock specific signature in skeletal muscle.Scientific reports · 2022Article
- Metabolic reprogramming consequences of sepsis: adaptations and contradictions.Cellular and molecular life sciences : CMLS · 2022Review
- Patient Stratification in Sepsis: Using Metabolomics to Detect Clinical Phenotypes, Sub-Phenotypes and Therapeutic Response.Metabolites · 2022Review
- Molecular Probes, Chemosensors, and Nanosensors for Optical Detection of Biorelevant Molecules and Ions in Aqueous Media and Biofluids.Chemical reviews · 2022Review
- HDL-Associated Lipoproteins: Potential Prognostic Biomarkers for Gram-Negative Sepsis.Journal of inflammation research · 2022Article
- Sepsis: deriving biological meaning and clinical applications from high-dimensional data.Intensive care medicine experimental · 2021Review
- An integrative understanding of the large metabolic shifts induced by antibiotics in critical illness.Gut microbesArticle
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sepsis remains a major cause of death despite advances in medical care. Metabolic deregulation is an important component of the survival process. Metabolomic analysis allows profiling of critical metabolic functions with the potential to classify patient outcome. Our prospective longitudinal characterization of 33 septic and non-septic critically ill patients showed that deviations, independent of direction, in plasma levels of lipid metabolites were associated with sepsis mortality. We identified a coupling of metabolic signatures between liver and plasma of a rat sepsis model that allowed us to apply a human kinetic model of mitochondrial beta-oxidation to reveal differing enzyme concentrations for medium/short-chain hydroxyacyl-CoA dehydrogenase (elevated in survivors) and crotonase (elevated in non-survivors). These data suggest a need to monitor cellular energy metabolism beyond the available biomarkers. A loss of metabolic adaptation appears to be reflected by an inability to maintain cellular (fatty acid) metabolism within a "corridor of safety".
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Registered trials
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