1. Flower lose, a cell fitness marker, predicts COVID‐19 prognosis
- Author
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Christopher J Pelham, Esha Madan, Markus Tolnay, António M Palma, Emad A. Rakha, Stephanie M. McGregor, Maximilian Ackermann, Everlyne Nkadori, Alexandar Tzankov, Laura K. Muller, Linbu Liao, Mark S. Parker, Emily S Rice, Jasmin D. Haslbauer, Thomas Braun, Raquel Cruz-Duarte, Andrew K. Godwin, Max S. Wicha, Thomas Menter, Matthias S. Matter, Denise Camacho, Benjamin Tang, Kirsty R. Short, Kyoung-Jae Won, Paul B. Fisher, Michail Yekelchyk, Kristina A Matkwoskyj, Eduardo Moreno, Sahil Chaudhary, Rajan Gogna, Kornelia Galior, Inês Rolim, Masaki Nagane, Ronny Drapkin, Michael T. Winters, Kartik Gupta, Antonio Lopez-Beltran, Ivan Martinez, Arutha Kulasinghe, Clay B. Marsh, Jochen Wilhelm, Steven R Grossman, and Raghavendra Pillappa
- Subjects
Oncology ,Medicine (General) ,medicine.medical_specialty ,Flowers ,Disease ,QH426-470 ,Lung injury ,Severity of Illness Index ,cell fitness ,Article ,R5-920 ,COVID‐19 ,Internal medicine ,Severity of illness ,Genetics ,medicine ,Humans ,Pandemics ,Retrospective Studies ,Receiver operating characteristic ,SARS-CoV-2 ,business.industry ,COVID-19 ,Retrospective cohort study ,Articles ,Triage ,Microbiology, Virology & Host Pathogen Interaction ,flower ,ROC Curve ,biomarker ,Molecular Medicine ,Biomarker (medicine) ,Observational study ,prognosis ,business ,Biomarkers - Abstract
Risk stratification of COVID‐19 patients is essential for pandemic management. Changes in the cell fitness marker, hFwe‐Lose, can precede the host immune response to infection, potentially making such a biomarker an earlier triage tool. Here, we evaluate whether hFwe‐Lose gene expression can outperform conventional methods in predicting outcomes (e.g., death and hospitalization) in COVID‐19 patients. We performed a post‐mortem examination of infected lung tissue in deceased COVID‐19 patients to determine hFwe‐Lose’s biological role in acute lung injury. We then performed an observational study (n = 283) to evaluate whether hFwe‐Lose expression (in nasopharyngeal samples) could accurately predict hospitalization or death in COVID‐19 patients. In COVID‐19 patients with acute lung injury, hFwe‐Lose is highly expressed in the lower respiratory tract and is co‐localized to areas of cell death. In patients presenting in the early phase of COVID‐19 illness, hFwe‐Lose expression accurately predicts subsequent hospitalization or death with positive predictive values of 87.8–100% and a negative predictive value of 64.1–93.2%. hFwe‐Lose outperforms conventional inflammatory biomarkers and patient age and comorbidities, with an area under the receiver operating characteristic curve (AUROC) 0.93–0.97 in predicting hospitalization/death. Specifically, this is significantly higher than the prognostic value of combining biomarkers (serum ferritin, D‐dimer, C‐reactive protein, and neutrophil–lymphocyte ratio), patient age and comorbidities (AUROC of 0.67–0.92). The cell fitness marker, hFwe‐Lose, accurately predicts outcomes in COVID‐19 patients. This finding demonstrates how tissue fitness pathways dictate the response to infection and disease and their utility in managing the current COVID‐19 pandemic., A post‐mortem examination of COVID‐19 infected lung tissues and an observational study were performed in order to evaluate whether expression of cell fitness marker hFwe‐Lose in patient's nasopharyngeal swabs could predict hospitalization or death from COVID‐19.
- Published
- 2021
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