ArticleEBioMedicine2022
Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies.
Article in EBioMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 32 citations in OpenAlex.
- Machine learning, whole genome sequencing, and Mendelian randomization support a role of CRP on COVID-19 severity.Molecular medicine (Cambridge, Mass.) · 2026Article
- Circulating extracellular microRNAs as tissue-specific biomarkers of human health and disease.Nature communications · 2026Article
- Integrated miR-omics and proteomics reveal the regulatory role of miR in protein networks associated with COVID-19 disease progression.Frontiers in immunology · 2026Article
- Pretreatment Circulating Vascular Biomarkers Predict Cancer Therapy-Related Cardiac Dysfunction During HER2JACC. CardioOncology · 2025Article
- The Impact of the COVID-19 Pandemic on Coronary Artery Bypass Grafting Surgery: A Single-Centre Retrospective Cohort Study.Biomedicines · 2025Article
- Activation of Evolutionarily Young Endogenous Retroviruses Is Implicated in COVID-19 Immunopathology.Genes to cells : devoted to molecular & cellular mechanisms · 2025Article
- Plasma miR-1-3p levels predict severity in hospitalized COVID-19 patients.British journal of pharmacology · 2025Article
- Exploring the underlying molecular mechanisms of acute myocardial infarction after SARS-CoV-2 infection.American heart journal plus : cardiology research and practice · 2024Article
- Clinical Implications of COVID-19-Related Endothelial Dysfunction.JACC. Advances · 2024Review
- The emerging role of heart-on-a-chip systems in delineating mechanisms of SARS-CoV-2-induced cardiac dysfunction.Bioengineering & translational medicine · 2024Review
- Profibrotic COVID-19 subphenotype exhibits enhanced localized ER-dependent HSP47Journal of molecular and cellular cardiology · 2023Article
- Article
- Plasma miR-195-5p predicts the severity of Covid-19 in hospitalized patients.Scientific reports · 2023Article
- SARS-CoV-2-associated organs failure and inflammation: a focus on the role of cellular and viral microRNAs.Virology journal · 2023Review
- A blood microRNA classifier for the prediction of ICU mortality in COVID-19 patients: a multicenter validation study.Respiratory research · 2023Observational
- Vascular mechanisms of post-COVID-19 conditions: Rho-kinase is a novel target for therapy.European heart journal. Cardiovascular pharmacotherapy · 2023Article
- Cellular miR-6741-5p as a Prognostic Biomarker Predicting Length of Hospital Stay among COVID-19 Patients.Viruses · 2022Article
- Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods.Life (Basel, Switzerland) · 2022Article
- Personalized medicine using omics approaches in acute respiratory distress syndrome to identify biological phenotypes.Respiratory research · 2022Review
- Insights into Endotheliopathy in COVID-19.American journal of respiratory and critical care medicine · 2022Article
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Authors and funding
21 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndothelial cell (EC) activation, endotheliitis, vascular permeability, and thrombosis have been observed in patients with severe coronavirus disease 2019 (COVID-19), indicating that the vasculature is affected during the acute stages of SARS-CoV-2 infection. It remains unknown whether circulating vascular markers are sufficient to predict clinical outcomes, are unique to COVID-19, and if vascular permeability can be therapeutically targeted.
methodsProspectively evaluating the prevalence of circulating inflammatory, cardiac, and EC activation markers as well as developing a microRNA atlas in 241 unvaccinated patients with suspected SARS-CoV-2 infection allowed for prognostic value assessment using a Random Forest model machine learning approach. Subsequent ex vivo experiments assessed EC permeability responses to patient plasma and were used to uncover modulated gene regulatory networks from which rational therapeutic design was inferred.
findingsMultiple inflammatory and EC activation biomarkers were associated with mortality in COVID-19 patients and in severity-matched SARS-CoV-2-negative patients, while dysregulation of specific microRNAs at presentation was specific for poor COVID-19-related outcomes and revealed disease-relevant pathways. Integrating the datasets using a machine learning approach further enhanced clinical risk prediction for in-hospital mortality. Exposure of ECs to COVID-19 patient plasma resulted in severity-specific gene expression responses and EC barrier dysfunction, which was ameliorated using angiopoietin-1 mimetic or recombinant Slit2-N.
interpretationIntegration of multi-omics data identified microRNA and vascular biomarkers prognostic of in-hospital mortality in COVID-19 patients and revealed that vascular stabilizing therapies should be explored as a treatment for endothelial dysfunction in COVID-19, and other severe diseases where endothelial dysfunction has a central role in pathogenesis.
fundingThis work was directly supported by grant funding from the Ted Rogers Center for Heart Research, Toronto, Ontario, Canada and the Peter Munk Cardiac Center, Toronto, Ontario, Canada.
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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.