Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Bose, Mukulika, Mitra, Bhaskar, Mukherjee, Pinku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
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
_version_ 1783629763948052480
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