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Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies.
Gustafson, Dakota; Ngai, Michelle; Wu, Ruilin; Hou, Huayun; Schoffel, Alice Carvalhal; Erice, Clara; Mandla, Serena; Billia, Filio; Wilson, Michael D; Radisic, Milica; Fan, Eddy; Trahtemberg, Uriel; Baker, Andrew; McIntosh, Chris; Fan, Chun-Po S; Dos Santos, Claudia C; Kain, Kevin C; Hanneman, Kate; Thavendiranathan, Paaladinesh; Fish, Jason E; Howe, Kathryn L.
  • Gustafson D; Toronto General Hospital Research Institute, University Health Network, Toronto, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
  • Ngai M; Toronto General Hospital Research Institute, University Health Network, Toronto, Canada.
  • Wu R; Toronto General Hospital Research Institute, University Health Network, Toronto, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
  • Hou H; Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada.
  • Schoffel AC; Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada.
  • Erice C; Johns Hopkins School of Medicine, Baltimore, USA.
  • Mandla S; Institute of Biomedical Engineering, University of Toronto, Toronto, Canada.
  • Billia F; Toronto General Hospital Research Institute, University Health Network, Toronto, Canada; Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada.
  • Wilson MD; Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Canada.
  • Radisic M; Institute of Biomedical Engineering, University of Toronto, Toronto, Canada.
  • Fan E; Toronto General Hospital Research Institute, University Health Network, Toronto, Canada; Interdepartmental Division of Critical Care and Institute of Medical Sciences, University of Toronto, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada.
  • Trahtemberg U; Keenan Research Center for Biomedical Research, Unity Health Toronto, Toronto, Canada; Critical Care Department, Galilee Medical Center, Nahariya, Israel.
  • Baker A; Interdepartmental Division of Critical Care and Institute of Medical Sciences, University of Toronto, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Critical Care Department, Galilee Medical Center, Nahariya, Israel.
  • McIntosh C; Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada; Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada; Techna Institute, University Health Network, Toronto, Canada; Department of Medical Biophysics, Uni
  • Fan CS; Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada.
  • Dos Santos CC; Interdepartmental Division of Critical Care and Institute of Medical Sciences, University of Toronto, Toronto, Canada; Keenan Research Center for Biomedical Research, Unity Health Toronto, Toronto, Canada.
  • Kain KC; Toronto General Hospital Research Institute, University Health Network, Toronto, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
  • Hanneman K; Toronto General Hospital Research Institute, University Health Network, Toronto, Canada; Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada; Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada.
  • Thavendiranathan P; Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Joint Department of Medical Imaging, University Health Network, University of Toronto, Toronto, Canada; Ted Rogers Program in Cardiot
  • Fish JE; Toronto General Hospital Research Institute, University Health Network, Toronto, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada; Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada; Institute of Medical S
  • Howe KL; Toronto General Hospital Research Institute, University Health Network, Toronto, Canada; Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Division of Vascular Surgery, Department of
EBioMedicine ; 78: 103982, 2022 Apr.
Article in English | MEDLINE | ID: covidwho-1783293
ABSTRACT

BACKGROUND:

Endothelial 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.

METHODS:

Prospectively 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.

FINDINGS:

Multiple 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.

INTERPRETATION:

Integration 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.

FUNDING:

This 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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vascular Diseases / MicroRNAs / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: EBioMedicine Year: 2022 Document Type: Article Affiliation country: J.ebiom.2022.103982

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vascular Diseases / MicroRNAs / COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: EBioMedicine Year: 2022 Document Type: Article Affiliation country: J.ebiom.2022.103982