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Mucin signature as a potential tool to predict susceptibility to COVID‐19
The Corona Virus Infectious Disease‐19 (COVID‐19) pandemic has played havoc on both the global health and economy. It is necessary to find a molecular signature that differentiates between low‐risk and high‐risk individuals. Pathogens, including viruses of the upper respiratory tract, utilize mucin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771898/ https://www.ncbi.nlm.nih.gov/pubmed/33373502 http://dx.doi.org/10.14814/phy2.14701 |
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author | Bose, Mukulika Mitra, Bhaskar Mukherjee, Pinku |
author_facet | Bose, Mukulika Mitra, Bhaskar Mukherjee, Pinku |
author_sort | Bose, Mukulika |
collection | PubMed |
description | The Corona Virus Infectious Disease‐19 (COVID‐19) pandemic has played havoc on both the global health and economy. It is necessary to find a molecular signature that differentiates between low‐risk and high‐risk individuals. Pathogens, including viruses of the upper respiratory tract, utilize mucin proteins to enter into host cells. Mucins are critical components of innate immunity and also play important roles in infectious disease progression. Their expression is regulated by different cytokines during infection and inflammation. A comparison of mucin signatures between an asymptomatic versus symptomatic and between patients with mild versus severe symptoms could help identify other important proteins involved in the pathology of this new virus. Recent studies on the pathogenicity of the SARS‐CoV‐2 have found receptors that help its entry into the cells. In this review, we present an overview of how mucins are connected to the pathogenicity of the virus and propose that studying the glycome and mucin signature may lead to the development of a biomarker in predicting the susceptibility, progression, and response to therapy in COVID‐19 patients. |
format | Online Article Text |
id | pubmed-7771898 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77718982020-12-31 Mucin signature as a potential tool to predict susceptibility to COVID‐19 Bose, Mukulika Mitra, Bhaskar Mukherjee, Pinku Physiol Rep Invited Reviews The Corona Virus Infectious Disease‐19 (COVID‐19) pandemic has played havoc on both the global health and economy. It is necessary to find a molecular signature that differentiates between low‐risk and high‐risk individuals. Pathogens, including viruses of the upper respiratory tract, utilize mucin proteins to enter into host cells. Mucins are critical components of innate immunity and also play important roles in infectious disease progression. Their expression is regulated by different cytokines during infection and inflammation. A comparison of mucin signatures between an asymptomatic versus symptomatic and between patients with mild versus severe symptoms could help identify other important proteins involved in the pathology of this new virus. Recent studies on the pathogenicity of the SARS‐CoV‐2 have found receptors that help its entry into the cells. In this review, we present an overview of how mucins are connected to the pathogenicity of the virus and propose that studying the glycome and mucin signature may lead to the development of a biomarker in predicting the susceptibility, progression, and response to therapy in COVID‐19 patients. John Wiley and Sons Inc. 2020-12-29 /pmc/articles/PMC7771898/ /pubmed/33373502 http://dx.doi.org/10.14814/phy2.14701 Text en © 2020 The Authors. Physiological Reports published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Invited Reviews Bose, Mukulika Mitra, Bhaskar Mukherjee, Pinku Mucin signature as a potential tool to predict susceptibility to COVID‐19 |
title | Mucin signature as a potential tool to predict susceptibility to COVID‐19 |
title_full | Mucin signature as a potential tool to predict susceptibility to COVID‐19 |
title_fullStr | Mucin signature as a potential tool to predict susceptibility to COVID‐19 |
title_full_unstemmed | Mucin signature as a potential tool to predict susceptibility to COVID‐19 |
title_short | Mucin signature as a potential tool to predict susceptibility to COVID‐19 |
title_sort | mucin signature as a potential tool to predict susceptibility to covid‐19 |
topic | Invited Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771898/ https://www.ncbi.nlm.nih.gov/pubmed/33373502 http://dx.doi.org/10.14814/phy2.14701 |
work_keys_str_mv | AT bosemukulika mucinsignatureasapotentialtooltopredictsusceptibilitytocovid19 AT mitrabhaskar mucinsignatureasapotentialtooltopredictsusceptibilitytocovid19 AT mukherjeepinku mucinsignatureasapotentialtooltopredictsusceptibilitytocovid19 |