ArticleScience translational medicine2013
An integrated clinico-metabolomic model improves prediction of death in sepsis.
Article in Science translational medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 296 papers, 2 of them syntheses that pooled it.
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
296 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systematic review and meta-analysis of humoral immunity proteins and mortality in sepsis.Critical care (London, England) · 2025Pooled it
- Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation.BMC medicine · 2020Pooled it
- A pilot study of alternative substrates in the critically Ill subject using a ketogenic feed.Nature communications · 2023Trial
- Kidney function as a key driver of the pharmacokinetic response to high-dose L-carnitine in septic shock.Pharmacotherapy · 2023Trial
- A Multi-Omic Mosaic Model of Acetaminophen Induced Alanine Aminotransferase Elevation.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2023Trial
- Systemic inflammation and metabolic disturbances underlie inpatient mortality among ill children with severe malnutrition.Science advances · 2022Trial
- Procalcitonin metabolomics in the critically ill reveal relationships between inflammation intensity and energy utilization pathways.Scientific reports · 2021Trial
- Low vasopressin and progression of neonatal sepsis to septic shock: a prospective cohort study.European journal of pediatrics · 2020Trial
- Machine Learning Algorithms Identify Pathogen-Specific Biomarkers of Clinical and Metabolomic Characteristics in Septic Patients with Bacterial Infections.BioMed research international · 2020Trial
- Untargeted Metabolomics Differentiates l-Carnitine Treated Septic Shock 1-Year Survivors and Nonsurvivors.Journal of proteome research · 2019Trial
- Effect of Levocarnitine vs Placebo as an Adjunctive Treatment for Septic Shock: The Rapid Administration of Carnitine in Sepsis (RACE) Randomized Clinical Trial.JAMA network open · 2018Trial
- Hepatocyte HNF4α Deficiency Protects Against Pneumococcal Sepsis Through a Neutrophil-Dependent Mechanism.International journal of molecular sciences · 2026Article
- NMR Metabolomics in Veterinary Medicine: From Biomarker Discovery to Clinical Implementation.Veterinary sciences · 2026Review
- Systems Bioengineering of Septic Shock Metabolism: Citrulline, β-Hydroxybutyrate and Plasma Biomarker-Based Phenotyping.Biomolecules · 2026Review
- Research on Sepsis and Metabolic Reprogramming from 1998 to 2025: A Bibliometric and Visualized Analysis.Shock (Augusta, Ga.) · 2026Article
- Metabolomic signatures of early pathway disruptions and clinical outcomes in community-acquired pneumonia: a prospective case-control study.BMC pulmonary medicine · 2026Article
- Sepsis-associated acute lung injury: do inflammatory lipid mediators flood the lungs by activating pulmonary TRP channels?Intensive care medicine experimental · 2026Review
- Immunometabolic reprogramming and mitochondrial dysfunction in acute respiratory distress syndrome: mechanisms, metabolic resilience, and therapeutic perspectives- a narrative review.Journal of translational medicine · 2026Review
- The molecular ICU: a primer on omics, informatics and the future of precision critical care.Critical care (London, England) · 2026Review
- Death-associated protein kinase 2 (DAPK2) propagates endoplasmic reticulum stress in macrophages to worsen sepsis through HSPA5-IRE1α axis.Molecular biomedicine · 2026Article
236 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
38 authors.
Funding
Abstract
Sepsis is a common cause of death, but outcomes in individual patients are difficult to predict. Elucidating the molecular processes that differ between sepsis patients who survive and those who die may permit more appropriate treatments to be deployed. We examined the clinical features and the plasma metabolome and proteome of patients with and without community-acquired sepsis, upon their arrival at hospital emergency departments and 24 hours later. The metabolomes and proteomes of patients at hospital admittance who would ultimately die differed markedly from those of patients who would survive. The different profiles of proteins and metabolites clustered into the following groups: fatty acid transport and β-oxidation, gluconeogenesis, and the citric acid cycle. They differed consistently among several sets of patients, and diverged more as death approached. In contrast, the metabolomes and proteomes of surviving patients with mild sepsis did not differ from survivors with severe sepsis or septic shock. An algorithm derived from clinical features together with measurements of five metabolites predicted patient survival. This algorithm may help to guide the treatment of individual patients with sepsis.
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