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A dynamic mucin mRNA signature associates with COVID-19 disease presentation and severity

BACKGROUND: SARS-CoV-2 infection induces mucin overexpression, further promoting disease. Given that mucins are critical components of innate immunity, unraveling their expression profiles that dictate the course of disease could greatly enhance our understanding and management of COVID-19. METHODS:...

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Autores principales: Smet, Annemieke, Breugelmans, Tom, Michiels, Johan, Lamote, Kevin, Arras, Wout, De Man, Joris G., Heyndrickx, Leo, Hauner, Anne, Huizing, Manon, Malhotra-Kumar, Surbhi, Lammens, Martin, Hotterbeekx, An, Kumar-Singh, Samir, Verstraeten, Aline, Loeys, Bart, Verhoeven, Veronique, Jacobs, Rita, Dams, Karolien, Coenen, Samuel, Ariën, Kevin K., Jorens, Philippe G., De Winter, Benedicte Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525642/
https://www.ncbi.nlm.nih.gov/pubmed/34448730
http://dx.doi.org/10.1172/jci.insight.151777
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author Smet, Annemieke
Breugelmans, Tom
Michiels, Johan
Lamote, Kevin
Arras, Wout
De Man, Joris G.
Heyndrickx, Leo
Hauner, Anne
Huizing, Manon
Malhotra-Kumar, Surbhi
Lammens, Martin
Hotterbeekx, An
Kumar-Singh, Samir
Verstraeten, Aline
Loeys, Bart
Verhoeven, Veronique
Jacobs, Rita
Dams, Karolien
Coenen, Samuel
Ariën, Kevin K.
Jorens, Philippe G.
De Winter, Benedicte Y.
author_facet Smet, Annemieke
Breugelmans, Tom
Michiels, Johan
Lamote, Kevin
Arras, Wout
De Man, Joris G.
Heyndrickx, Leo
Hauner, Anne
Huizing, Manon
Malhotra-Kumar, Surbhi
Lammens, Martin
Hotterbeekx, An
Kumar-Singh, Samir
Verstraeten, Aline
Loeys, Bart
Verhoeven, Veronique
Jacobs, Rita
Dams, Karolien
Coenen, Samuel
Ariën, Kevin K.
Jorens, Philippe G.
De Winter, Benedicte Y.
author_sort Smet, Annemieke
collection PubMed
description BACKGROUND: SARS-CoV-2 infection induces mucin overexpression, further promoting disease. Given that mucins are critical components of innate immunity, unraveling their expression profiles that dictate the course of disease could greatly enhance our understanding and management of COVID-19. METHODS: Using validated RT-PCR assays, we assessed mucin mRNA expression in the blood of patients with symptomatic COVID-19 compared with symptomatic patients without COVID-19 and healthy controls and correlated the data with clinical outcome parameters. Additionally, we analyzed mucin expression in mucus and lung tissue from patients with COVID-19 and investigated the effect of drugs for COVID-19 treatment on SARS-CoV-2–induced mucin expression in pulmonary epithelial cells. RESULTS: We identified a dynamic blood mucin mRNA signature that clearly distinguished patients with symptomatic COVID-19 from patients without COVID-19 based on expression of MUC1, MUC2, MUC4, MUC6, MUC13, MUC16, and MUC20 (AUC(ROC) of 91.8%; sensitivity and specificity of 90.6% and 93.3%, respectively) and that discriminated between mild and critical COVID-19 based on the expression of MUC16, MUC20, and MUC21 (AUC(ROC) of 89.1%; sensitivity and specificity of 90.0% and 85.7%, respectively). Differences in the transcriptional landscape of mucins in critical cases compared with mild cases identified associations with COVID-19 symptoms, respiratory support, organ failure, secondary infections, and mortality. Furthermore, we identified different mucins in the mucus and lung tissue of critically ill COVID-19 patients and showed the ability of baricitinib, tocilizumab, favipiravir, and remdesivir to suppress expression of SARS-CoV-2–induced mucins. CONCLUSION: This multifaceted blood mucin mRNA signature showed the potential role of mucin profiling in diagnosing, estimating severity, and guiding treatment options in patients with COVID-19. FUNDING: The Antwerp University Research and the Research Foundation Flanders COVID-19 funds.
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spelling pubmed-85256422021-10-26 A dynamic mucin mRNA signature associates with COVID-19 disease presentation and severity Smet, Annemieke Breugelmans, Tom Michiels, Johan Lamote, Kevin Arras, Wout De Man, Joris G. Heyndrickx, Leo Hauner, Anne Huizing, Manon Malhotra-Kumar, Surbhi Lammens, Martin Hotterbeekx, An Kumar-Singh, Samir Verstraeten, Aline Loeys, Bart Verhoeven, Veronique Jacobs, Rita Dams, Karolien Coenen, Samuel Ariën, Kevin K. Jorens, Philippe G. De Winter, Benedicte Y. JCI Insight Clinical Medicine BACKGROUND: SARS-CoV-2 infection induces mucin overexpression, further promoting disease. Given that mucins are critical components of innate immunity, unraveling their expression profiles that dictate the course of disease could greatly enhance our understanding and management of COVID-19. METHODS: Using validated RT-PCR assays, we assessed mucin mRNA expression in the blood of patients with symptomatic COVID-19 compared with symptomatic patients without COVID-19 and healthy controls and correlated the data with clinical outcome parameters. Additionally, we analyzed mucin expression in mucus and lung tissue from patients with COVID-19 and investigated the effect of drugs for COVID-19 treatment on SARS-CoV-2–induced mucin expression in pulmonary epithelial cells. RESULTS: We identified a dynamic blood mucin mRNA signature that clearly distinguished patients with symptomatic COVID-19 from patients without COVID-19 based on expression of MUC1, MUC2, MUC4, MUC6, MUC13, MUC16, and MUC20 (AUC(ROC) of 91.8%; sensitivity and specificity of 90.6% and 93.3%, respectively) and that discriminated between mild and critical COVID-19 based on the expression of MUC16, MUC20, and MUC21 (AUC(ROC) of 89.1%; sensitivity and specificity of 90.0% and 85.7%, respectively). Differences in the transcriptional landscape of mucins in critical cases compared with mild cases identified associations with COVID-19 symptoms, respiratory support, organ failure, secondary infections, and mortality. Furthermore, we identified different mucins in the mucus and lung tissue of critically ill COVID-19 patients and showed the ability of baricitinib, tocilizumab, favipiravir, and remdesivir to suppress expression of SARS-CoV-2–induced mucins. CONCLUSION: This multifaceted blood mucin mRNA signature showed the potential role of mucin profiling in diagnosing, estimating severity, and guiding treatment options in patients with COVID-19. FUNDING: The Antwerp University Research and the Research Foundation Flanders COVID-19 funds. American Society for Clinical Investigation 2021-10-08 /pmc/articles/PMC8525642/ /pubmed/34448730 http://dx.doi.org/10.1172/jci.insight.151777 Text en © 2021 Smet et al. https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Clinical Medicine
Smet, Annemieke
Breugelmans, Tom
Michiels, Johan
Lamote, Kevin
Arras, Wout
De Man, Joris G.
Heyndrickx, Leo
Hauner, Anne
Huizing, Manon
Malhotra-Kumar, Surbhi
Lammens, Martin
Hotterbeekx, An
Kumar-Singh, Samir
Verstraeten, Aline
Loeys, Bart
Verhoeven, Veronique
Jacobs, Rita
Dams, Karolien
Coenen, Samuel
Ariën, Kevin K.
Jorens, Philippe G.
De Winter, Benedicte Y.
A dynamic mucin mRNA signature associates with COVID-19 disease presentation and severity
title A dynamic mucin mRNA signature associates with COVID-19 disease presentation and severity
title_full A dynamic mucin mRNA signature associates with COVID-19 disease presentation and severity
title_fullStr A dynamic mucin mRNA signature associates with COVID-19 disease presentation and severity
title_full_unstemmed A dynamic mucin mRNA signature associates with COVID-19 disease presentation and severity
title_short A dynamic mucin mRNA signature associates with COVID-19 disease presentation and severity
title_sort dynamic mucin mrna signature associates with covid-19 disease presentation and severity
topic Clinical Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525642/
https://www.ncbi.nlm.nih.gov/pubmed/34448730
http://dx.doi.org/10.1172/jci.insight.151777
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