ArticleEBioMedicine2014
An Endotoxin Tolerance Signature Predicts Sepsis and Organ Dysfunction at Initial Clinical Presentation.
Article in EBioMedicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04118179 (Development of a New Strategy to Predict Early Sepsis), which is not on this map. Cited by 89 papers, 3 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.
Development of a New Strategy to Predict Early Sepsis
Who cites it
89 citing papers in PubMed, 3 syntheses or guidelines pooled it, 149 citations in OpenAlex.
- The Diagnostic Utility of Host RNA Biosignatures in Adult Patients With Sepsis: A Systematic Review and Meta-Analysis.Critical care explorations · 2025Pooled it
- A six‑gene support vector machine classifier contributes to the diagnosis of pediatric septic shock.Molecular medicine reports · 2020Pooled it
- An insight to HTLV-1-associated myelopathy/tropical spastic paraparesis (HAM/TSP) pathogenesis; evidence from high-throughput data integration and meta-analysis.Retrovirology · 2019Pooled it
- Development and characterization of LipoCatch: a bacterial lipoprotein-based biomaterial that self-assembles into nanostructures.Nanoscale advances · 2026Article
- Dynamic biomarker profiling and phenotyping in burn sepsis: a retrospective cohort study using growth mixture modeling.Frontiers in cellular and infection microbiology · 2026Article
- Endotoxin's Impact on Organism: From Immune Activation to Tolerance and Beyond.Journal of clinical medicine · 2025Review
- A machine learning and centrifugal microfluidics platform for bedside prediction of sepsis.Nature communications · 2025Article
- Altered baseline immunological state and impaired immune response to SARS-CoV-2 mRNA vaccination in lung transplant recipients.Cell reports. Medicine · 2025Article
- Identification and validation of autophagy-related genes in sepsis based on bioinformatics studies.Virology journal · 2025Article
- Immunometabolic chaos in septic shock.Journal of leukocyte biology · 2025Article
- Transcriptional responses in different mouse models of septic liver injury differ from those in patients with septic liver injury.Frontiers in immunology · 2025Article
- Epigenetic Modulation by Lactylation in Sepsis: Linking Metabolism to Immune Dysfunction.Journal of inflammation research · 2025Review
- Machine learning reveals ferroptosis features and a novel ferroptosis classifier in patients with sepsis.Immunity, inflammation and disease · 2024Article
- Lactate and Lactylation in Sepsis: A Comprehensive Review.Journal of inflammation research · 2024Review
- Assessing sepsis-induced immunosuppression to predict positive blood cultures.Frontiers in immunology · 2024Article
- Immune inhibitory receptor-mediated immune response, metabolic adaptation, and clinical characterization in patients with COVID-19.Scientific reports · 2023Article
- Antibiotic failure: Beyond antimicrobial resistance.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2023Review
- Lipopolysaccharide-Induced Delirium-like Behaviour in a Rat Model of Chronic Cerebral Hypoperfusion Is Associated with Increased Indoleamine 2,3-Dioxygenase Expression and Endotoxin Tolerance.International journal of molecular sciences · 2023Article
- Article
- Training vs. Tolerance: The Yin/Yang of the Innate Immune System.Biomedicines · 2023Review
29 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
9 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundSepsis involves aberrant immune responses to infection, but the exact nature of this immune dysfunction remains poorly defined. Bacterial endotoxins like lipopolysaccharide (LPS) are potent inducers of inflammation, which has been associated with the pathophysiology of sepsis, but repeated exposure can also induce a suppressive effect known as endotoxin tolerance or cellular reprogramming. It has been proposed that endotoxin tolerance might be associated with the immunosuppressive state that was primarily observed during late-stage sepsis. However, this relationship remains poorly characterised. Here we clarify the underlying mechanisms and timing of immune dysfunction in sepsis.
methodsWe defined a gene expression signature characteristic of endotoxin tolerance. Gene-set test approaches were used to correlate this signature with early sepsis, both newly and retrospectively analysing microarrays from 593 patients in 11 cohorts. Then we recruited a unique cohort of possible sepsis patients at first clinical presentation in an independent blinded controlled observational study to determine whether this signature was associated with the development of confirmed sepsis and organ dysfunction.
findingsAll sepsis patients presented an expression profile strongly associated with the endotoxin tolerance signature (p < 0.01; AUC 96.1%). Importantly, this signature further differentiated between suspected sepsis patients who did, or did not, go on to develop confirmed sepsis, and predicted the development of organ dysfunction.
interpretationOur data support an updated model of sepsis pathogenesis in which endotoxin tolerance-mediated immune dysfunction (cellular reprogramming) is present throughout the clinical course of disease and related to disease severity. Thus endotoxin tolerance might offer new insights guiding the development of new therapies and diagnostics for early sepsis.
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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.