ArticleCritical care (London, England)2024
Integrated clustering of multiple immune marker trajectories reveals different immunotypes in severely injured patients.
Article in Critical care (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Host-directed immune therapies: a second front in the battle against sepsis.The Journal of clinical investigation · 2026Review
- Blood biomarker trajectories in ICU-directed prediction models - A scoping review.The EPMA journal · 2026Review
- Dynamic risk stratification in burn sepsis: methodological considerations and path forward.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Article
- Th1/Th2 immune regulation and functional resilience in older adults following severe COVID-19: a prospective cohort study.European geriatric medicine · 2026Article
- Serum CD73 activity as a biomarker of hypoxemia in COVID-19 patients.Scientific reports · 2026Article
- Longitudinal biomarker trajectories and their prognostic utility for 21-day mortality in burn patients with sepsis: a retrospective cohort study.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Decoding the temporal dimension of innate immunity in intravesical BCG therapy.Frontiers in immunology · 2026Article
- Pre-transplant whole blood transcriptomic profiling identifies mRNAs linked to cirrhosis-associated immune dysfunction as candidate predictors of clinical outcomes after liver transplantation: an exploratory study.Transplant international : official journal of the European Society for Organ Transplantation · 2026Article
- Identification of distinct immune subtypes in sepsis through dual immunomarker trajectory.Annals of intensive care · 2026Article
- Machine learning identifies clinical sepsis phenotypes that translate to the plasma proteome.Infection · 2025Article
- Plasma proteomics identifies molecular subtypes in sepsis.Critical care (London, England) · 2025Article
- Diagnosis of cancer, autoimmune and infectious diseases and prediction of the therapy effectiveness based on the individual's immunotype.Frontiers in immunology · 2025Review
- Decoding immune low-response states in sepsis: single-cell and 3D spatial transcriptomic insights into immunoparalysis.Frontiers in immunology · 2025Review
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12 authors.
Funding
Abstract
backgroundThe immune response of critically ill patients, such as those with sepsis, severe trauma, or major surgery, is heterogeneous and dynamic, but its characterization and impact on outcomes are poorly understood. Until now, the primary challenge in advancing our understanding of the disease has been to concurrently address both multiparametric and temporal aspects.
methodsWe used a clustering method to identify distinct groups of patients, based on various immune marker trajectories during the first week after admission to ICU. In 339 severely injured patients, we initially longitudinally clustered common biomarkers (both soluble and cellular parameters), whose variations are well-established during the immunosuppressive phase of sepsis. We then applied this multi-trajectory clustering using markers composed of whole blood immune-related mRNA.
resultsWe found that both sets of markers revealed two immunotypes, one of which was associated with worse outcomes, such as increased risk of hospital-acquired infection and mortality, and prolonged hospital stays. This immunotype showed signs of both hyperinflammation and immunosuppression, which persisted over time.
conclusionOur study suggest that the immune system of critically ill patients can be characterized by two distinct longitudinal immunotypes, one of which included patients with a persistently dysregulated and impaired immune response. This work confirms the relevance of such methodology to stratify patients and pave the way for further studies using markers indicative of potential immunomodulatory drug targets.
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