Unbiased characterization of COVID-19 endotypes leads to prognostication of high-risk individuals using routine blood tests

20260 citationsJournal Articlegold Open Access

Authors

William Ma · McGill University

Antoine Soulé · McGill University Health Centre

Catherine Allard · Centre Hospitalier Universitaire de Sherbrooke

Madéleine Durand · Centre Hospitalier de l’Université de Montréal

Karine Tremblay · Université de Sherbrooke

Simon Rousseau · McGill University Health Centre

Amin Emad

Abstract

Unsupervised proteomic analysis identified biologically coherent endotypes that advance understanding of acute lung injury in COVID‑19 and support improved diagnostic and prognostic strategies.

Topics & Keywords

SARS-CoV-2 detection and testing COVID-19 Clinical Research Studies SARS-CoV-2 and COVID-19 Research

Publication Details

Published in: Communications Medicine

DOI: 10.1038/s43856-026-01520-x

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Unbiased characterization of COVID-19 endotypes leads to prognostication of high-risk individuals using routine blood tests

Authors

Abstract

Topics & Keywords

Publication Details