ArticleScience translational medicine2022
An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression.
Article in Science translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05728359 (Prospective Observational Study Investigating Genomic Determinants of Outcome From Cardiogenic Shock), which is not on this map. Cited by 61 papers, 2 of them syntheses 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.
Prospective Observational Study Investigating Genomic Determinants of Outcome From Cardiogenic Shock (GOlDilOCS)
Who cites it
61 citing papers in PubMed, 2 syntheses or guidelines pooled it, 101 citations in OpenAlex.
- A consensus blood transcriptomic framework for sepsis.Nature medicine · 2025Guideline
- A consensus immune dysregulation framework for sepsis and critical illnesses.Nature medicine · 2025Guideline
- Multimodal profiling of atherosclerosis: Protocol and pilot data for the AtherOMICS biobank.Science advances · 2026Article
- Immunology of pregnancy and sepsis: shared and specific pathways guiding future precision care.EBioMedicine · 2026Review
- Aberrant STAT signaling and T cell dysregulation define a targetable pediatric sepsis endotype.The Journal of clinical investigation · 2026Article
- Real-world longitudinal validation of high-income-country-derived sepsis endotypes in sub-Saharan Africa: a nested prospective multicenter study.Critical care (London, England) · 2026Article
- Context-specific regulatory genetic variation in MTOR dampens neutrophil-T cell crosstalk in pneumonia-associated sepsis.Nature communications · 2026Article
- An adaptive, continuous-learning framework for clinical decision-making from proteome-wide biofluid data.Nature communications · 2026Article
- Alveolar Immune Profiling Identifies Distinct Subphenotypes of Acute Respiratory Failure.medRxiv : the preprint server for health sciences · 2026Article
- Genomic and integrative based progression biomarker discovery in adult sepsis: toward clinical stratification and precision medicine.Annals of intensive care · 2026Review
- Construction of a sepsis recovery-failure axis and single-cell anchoring using public multi-cohort whole-blood and single-cell transcriptomic data.Frontiers in medicine · 2026Article
- A high-risk sepsis subtype identified by regulated cell death signatures and MAD2L2 validation.Frontiers in immunology · 2026Article
- The immunology of sepsis: translating new insights into clinical practice.Nature reviews. Nephrology · 2026Review
- Inflammation-driven immune reprogramming in sepsis: from cytokine storm to immunoparalysis.Frontiers in immunology · 2026Review
- Cellular signatures of immune dysregulation in inborn errors of immunity: development of a quantitative immune balance score.Frontiers in immunology · 2026Article
- Clinical subphenotypes and molecular endotypes in sepsis: toward an integrated and dynamic framework.Annals of intensive care · 2026Review
- Host-Microbe Multiomic Profiling Predicts Mortality in Sepsis.American journal of respiratory and critical care medicine · 2026Article
- Pediatric critical illness endotypes reveal distinct outcomes and immune pathways shared across cause of illness.iScience · 2025Article
- The circulating cell-free DNA landscape in sepsis is dominated by impaired liver clearance.Cell genomics · 2025Article
- Identification of transcriptomic sepsis endotypes in sub-Saharan Africa: derivation, validation, and global alignment in two Ugandan cohorts.Intensive care medicine · 2025Observational
1 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
141 authors at 13 institutions in 3 countries.
Funding
Abstract
Dysregulated host responses to infection can lead to organ dysfunction and sepsis, causing millions of global deaths each year. To alleviate this burden, improved prognostication and biomarkers of response are urgently needed. We investigated the use of whole-blood transcriptomics for stratification of patients with severe infection by integrating data from 3149 samples from patients with sepsis due to community-acquired pneumonia or fecal peritonitis admitted to intensive care and healthy individuals into a gene expression reference map. We used this map to derive a quantitative sepsis response signature (SRSq) score reflective of immune dysfunction and predictive of clinical outcomes, which can be estimated using a 7- or 12-gene signature. Last, we built a machine learning framework, SepstratifieR, to deploy SRSq in adult and pediatric bacterial and viral sepsis, H1N1 influenza, and COVID-19, demonstrating clinically relevant stratification across diseases and revealing some of the physiological alterations linking immune dysregulation to mortality. Our method enables early identification of individuals with dysfunctional immune profiles, bringing us closer to precision medicine in infection.
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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.