Trial reportIntensive care medicine2013
Metabolomics in pneumonia and sepsis: an analysis of the GenIMS cohort study.
Trial report in Intensive care medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
68 citing papers in PubMed, 1 synthesis or guideline pooled it, 123 citations in OpenAlex.
- Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation.BMC medicine · 2020Pooled it
- Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsis.BMC anesthesiology · 2023Trial
- Pharmacometabolomics of l-carnitine treatment response phenotypes in patients with septic shock.Annals of the American Thoracic Society · 2015Trial
- Metabolomic signatures of early pathway disruptions and clinical outcomes in community-acquired pneumonia: a prospective case-control study.BMC pulmonary medicine · 2026Article
- Serum mass spectral fingerprints with machine learning for early discrimination of infectious pneumonia in the emergency department.BMC infectious diseases · 2026Observational
- Distinct systemic metabolic phenotypes associated with blood culture positivity and bacterial etiology in community-acquired pneumonia (CAP).Frontiers in cellular and infection microbiology · 2026Article
- Early biomarkers for predicting sepsis-induced shock: insights from inflammatory pathways and immune response.Frontiers in pharmacology · 2026Review
- Characterization of lipidome alterations in a standardized porcine model with multiple trauma and hemorrhagic shock: Are they driven by hepatic injury?The journal of trauma and acute care surgery · 2025Article
- Early Prediction of Septic Shock in Emergency Department Using Serum Metabolites.Journal of the American Society for Mass Spectrometry · 2025Article
- Farnesoid X Receptor Regulated Sepsis-Induced Abnormal Bile Acid Metabolism via the Fibroblast Growth Factor 15/Fibroblast Growth Factor Receptor 4 Pathway.Immunity, inflammation and disease · 2025Article
- Advances in metabolomics in critically ill patients with sepsis and septic shock.Clinical and experimental emergency medicine · 2025Article
- Sulfated Bile Acids in Serum as Potential Biomarkers of Disease Severity and Mortality in COVID-19.Cells · 2024Article
- Longitudinal metabolite profiling of Streptococcus pneumoniae-associated community-acquired pneumonia.Metabolomics : Official journal of the Metabolomic Society · 2024Article
- Plasma Metabolomics Reveals Distinct Biological and Diagnostic Signatures for Melioidosis.American journal of respiratory and critical care medicine · 2024Article
- Sepsis, Management & Advances in Metabolomics.Nanotheranostics · 2024Review
- Immunosuppressive effects of circulating bile acids in human endotoxemia and septic shock: patients with liver failure are at risk.Critical care (London, England) · 2023Article
- Serum Metabolomic Profiles in Critically Ill Patients with Shock on Admission to the Intensive Care Unit.Metabolites · 2023Article
- Prognostic biomarkers for sepsis mortality based on the literature and LC-MS-based metabolomics of sepsis patients.American journal of translational research · 2023Article
- Proteomic changes associated with racial background and sepsis survival outcomes.Molecular omics · 2022Article
- Sepsis biomarkers and diagnostic tools with a focus on machine learning.EBioMedicine · 2022Review
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 1 country.
Funding
Abstract
purposeTo determine the global metabolomic profile as measured in circulating plasma from surviving and non-surviving patients with community-acquired pneumonia (CAP) and sepsis.
methodsRandom, outcome-stratified case-control sample from a prospective study of 1,895 patients hospitalized with CAP and sepsis. Cases (n = 15) were adults who died before 90 days, and controls (n = 15) were adults who survived, matched on demographics, infection type, and procalcitonin. We determined the global metabolomic profile in the first emergency department blood sample using non-targeted mass-spectrometry. We derived metabolite-based prognostic models for 90-day mortality. We determined if metabolites stimulated cytokine production by differentiated Thp1 monocytes in vitro, and validated metabolite profiles in mouse liver and kidney homogenates at 8 h in cecal ligation and puncture (CLP) sepsis.
resultsWe identified 423 small molecules, of which the relative levels of 70 (17 %) were different between survivors and non-survivors (p ≤ 0.05). Broad differences were present in pathways of oxidative stress, bile acid metabolism, and stress response. Metabolite-based prognostic models for 90-day survival performed modestly (AUC = 0.67, 95 % CI 0.48, 0.81). Five nucleic acid metabolites were greater in non-survivors (p ≤ 0.05). Of these, pseudouridine increased monocyte expression of TNFα and IL1β versus control (p < 0.05). Pseudouridine was also increased in liver and kidney homogenates from CLP mice versus sham (p < 0.05 for both).
conclusionsAlthough replication is required, we show the global metabolomic profile in plasma broadly differs between survivors and non-survivors of CAP and sepsis. Metabolite-based prognostic models had modest performance, though metabolites of oxidative stress may act as putative damage-associated molecular patterns.
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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.