ArticleThe European respiratory journal2023
Transcriptomic clustering of critically ill COVID-19 patients.
Article in The European respiratory journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- The Acute Respiratory Distress Syndrome (ARDS): epidemiology, etiology, molecular mechanisms, diagnosis and therapeutic strategies.Molecular biomedicine · 2026Review
- Prospective multicentre study of upper respiratory mucosal transcriptomics reveals two major endotypes of critically ill COVID-19 patients.Communications medicine · 2026Article
- The role of corticosteroids in severe viral pneumonia: lessons from COVID-19 and influenza.Pneumonia (Nathan Qld.) · 2026Review
- Clinical Phenotypes of Critically Ill Patients with COVID-19 Infected with Omicron: A Nationwide Prospective Cohort Study.Infectious diseases and therapy · 2026Article
- Clinical Phenotyping in Acute Respiratory Distress Syndrome: Steps Towards Personalized Medicine.Journal of clinical medicine · 2025Article
- IsomiR stoichiometry changes as disease biomarkers.Molecular therapy. Nucleic acids · 2025Article
- Metabolomic stratification of shock: pathophysiological insights for personalized critical care.Annals of intensive care · 2025Article
- Pleural fluid proteomics from patients with pleural infection shows signatures of diverse neutrophilic responses: The Oxford Pleural Infection Endotyping Study (TORPIDS-2).The European respiratory journal · 2025Article
- Prediction of lung overdistension during mechanical ventilation using micro-RNA and gene expression.Intensive care medicine experimental · 2025Article
- MixOmics Integration of Biological Datasets Identifies Highly Correlated Variables of COVID-19 Severity.International journal of molecular sciences · 2025Article
- Transcriptomic profiling of severe and critical COVID-19 patients reveals alterations in expression, splicing and polyadenylation.Scientific reports · 2025Article
- Unlocking the Potential of RNA Sequencing in COVID-19: Toward Accurate Diagnosis and Personalized Medicine.Diagnostics (Basel, Switzerland) · 2025Review
- Unraveling the pathogenic interplay between SARS-CoV-2 and polycystic ovary syndrome using bioinformatics and experimental validation.Scientific reports · 2024Article
- Biological basis of critical illness subclasses: from the bedside to the bench and back again.Critical care (London, England) · 2024Review
- Clustering COVID-19 ARDS patients through the first days of ICU admission. An analysis of the CIBERESUCICOVID Cohort.Critical care (London, England) · 2024Observational
- Salivary miRNA Profiles in COVID-19 Patients with Different Disease Severities.International journal of molecular sciences · 2023Article
- Cardiovascular complications of diabetes: role of non-coding RNAs in the crosstalk between immune and cardiovascular systems.Cardiovascular diabetology · 2023Review
- Identification of two specific transcriptomic clusters of COVID-19 acute respiratory distress syndrome patients with different immune profiles and different outcomes.The European respiratory journal · 2023Article
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Authors and funding
19 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInfections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may cause a severe disease, termed coronavirus disease 2019 (COVID-19), with significant mortality. Host responses to this infection, mainly in terms of systemic inflammation, have emerged as key pathogenetic mechanisms and their modulation has shown a mortality benefit.
methodsIn a cohort of 56 critically ill COVID-19 patients, peripheral blood transcriptomes were obtained at admission to an intensive care unit (ICU) and clustered using an unsupervised algorithm. Differences in gene expression, circulating microRNAs (c-miRNAs) and clinical data between clusters were assessed, and circulating cell populations estimated from sequencing data. A transcriptomic signature was defined and applied to an external cohort to validate the findings.
resultsWe identified two transcriptomic clusters characterised by expression of either interferon-related or immune checkpoint genes, respectively. Steroids have cluster-specific effects, decreasing lymphocyte activation in the former but promoting B-cell activation in the latter. These profiles have different ICU outcomes, despite no major clinical differences at ICU admission. A transcriptomic signature was used to identify these clusters in two external validation cohorts (with 50 and 60 patients), yielding similar results.
conclusionsThese results reveal different underlying pathogenetic mechanisms and illustrate the potential of transcriptomics to identify patient endotypes in severe COVID-19 with the aim to ultimately personalise their therapies.
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