ArticleCritical care medicine2018
Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters.
Article in Critical care medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 209 papers, 3 of them syntheses that pooled it.
What it found
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Who cites it
209 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A consensus immune dysregulation framework for sepsis and critical illnesses.Nature medicine · 2025Guideline
- A consensus blood transcriptomic framework for sepsis.Nature medicine · 2025Guideline
- Methods for phenotyping adult patients with acute kidney injury: a systematic review.Journal of nephrology · 2025Pooled it
- Transitions of blood immune endotypes and improved outcome by anakinra in COVID-19 pneumonia: an analysis of the SAVE-MORE randomized controlled trial.Critical care (London, England) · 2024Trial
- Transcriptomic Signatures in Sepsis and a Differential Response to Steroids. From the VANISH Randomized Trial.American journal of respiratory and critical care medicine · 2019Trial
- Trial
- From early recognition to precision medicine: advances in the diagnosis and management of adult sepsis and septic shock-a narrative review.Infection · 2026Review
- Lymphopenia and elevated NLR identify patients with septic shock who may benefit from corticosteroids: a target trial emulation study.Intensive care medicine experimental · 2026Article
- Deciphering sepsis molecular subtypes using large-scale data to identify subtype-specific drug repurposing.bioRxiv : the preprint server for biology · 2026Article
- Recent advances in screening, diagnosis, prognosis and personalized treatment of sepsis.European journal of microbiology & immunology · 2026Review
- Short-Chain Fatty Acids in Sepsis: Mechanisms of Action and Therapeutic Advances.Biomedicines · 2026Review
- A whole-blood cryopreservation method streamlines clinical sample collection for multimodal single-cell immune profiling in sepsis.JCI insight · 2026Article
- Aberrant STAT signaling and T cell dysregulation define a targetable pediatric sepsis endotype.The Journal of clinical investigation · 2026Article
- The molecular ICU: a primer on omics, informatics and the future of precision critical care.Critical care (London, England) · 2026Review
- Longitudinal immune-inflammatory profiles and mortality in older adults with sepsis: a multicentre prospective cohort study.Journal of intensive care · 2026Article
- Whole blood transcriptomics reveals sepsis mortality-associated changes in neutrophil degranulation.American journal of respiratory cell and molecular biology · 2026Observational
- Service-Specific Heterogeneity in Sepsis Variable Significance and Machine Learning Model Performance: A Stratified Analysis of the BIAlert Cohort.Journal of clinical medicine · 2026Article
- Immune endotypes in tuberculosis: Keys to decoding disease complexity.Journal of internal medicine · 2026Review
- Deleterious variants in LTBP4 are associated with severe pediatric sepsis.Pediatric research · 2026Article
- Phenotype discovery and mortality prediction in sepsis-induced myocardial dysfunction: a deep learning and stratified modeling approach.BMC medical informatics and decision making · 2026Article
149 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
23 authors.
Funding
Abstract
objectivesTo find and validate generalizable sepsis subtypes using data-driven clustering.
designWe used advanced informatics techniques to pool data from 14 bacterial sepsis transcriptomic datasets from eight different countries (n = 700).
settingRetrospective analysis. SUBJECTS: Persons admitted to the hospital with bacterial sepsis.
interventionsNone. MEASUREMENTS AND MAIN
resultsA unified clustering analysis across 14 discovery datasets revealed three subtypes, which, based on functional analysis, we termed "Inflammopathic, Adaptive, and Coagulopathic." We then validated these subtypes in nine independent datasets from five different countries (n = 600). In both discovery and validation data, the Adaptive subtype is associated with a lower clinical severity and lower mortality rate, and the Coagulopathic subtype is associated with higher mortality and clinical coagulopathy. Further, these clusters are statistically associated with clusters derived by others in independent single sepsis cohorts.
conclusionsThe three sepsis subtypes may represent a unifying framework for understanding the molecular heterogeneity of the sepsis syndrome. Further study could potentially enable a precision medicine approach of matching novel immunomodulatory therapies with septic patients most likely to benefit.
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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.