Cargando…

Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies

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 c...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989492/
https://www.ncbi.nlm.nih.gov/pubmed/35405523
http://dx.doi.org/10.1016/j.ebiom.2022.103982
_version_ 1784683185880170496
author 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.
author_facet 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.
author_sort Gustafson, Dakota
collection PubMed
description 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 INFORMATION: 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.
format Online
Article
Text
id pubmed-8989492
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-89894922022-04-11 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. EBioMedicine Articles 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 INFORMATION: 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. Elsevier 2022-04-08 /pmc/articles/PMC8989492/ /pubmed/35405523 http://dx.doi.org/10.1016/j.ebiom.2022.103982 Text en Crown Copyright © 2022 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
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.
Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies
title Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies
title_full Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies
title_fullStr Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies
title_full_unstemmed Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies
title_short Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies
title_sort cardiovascular signatures of covid-19 predict mortality and identify barrier stabilizing therapies
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989492/
https://www.ncbi.nlm.nih.gov/pubmed/35405523
http://dx.doi.org/10.1016/j.ebiom.2022.103982
work_keys_str_mv AT gustafsondakota cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT ngaimichelle cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT wuruilin cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT houhuayun cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT schoffelalicecarvalhal cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT ericeclara cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT mandlaserena cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT billiafilio cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT wilsonmichaeld cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT radisicmilica cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT faneddy cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT trahtemberguriel cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT bakerandrew cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT mcintoshchris cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT fanchunpos cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT dossantosclaudiac cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT kainkevinc cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT hannemankate cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT thavendiranathanpaaladinesh cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT fishjasone cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies
AT howekathrynl cardiovascularsignaturesofcovid19predictmortalityandidentifybarrierstabilizingtherapies