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Targeting SARS-CoV-2 receptors as a means for reducing infectivity and improving antiviral and immune response: an algorithm-based method for overcoming resistance to antiviral agents
The ongoing severe acute respiratory syndrome pandemic caused by the novel coronavirus 2 (SARS-CoV-2) is associated with high morbidity and mortality rates, and it has created a pressing global need for effective antiviral therapies against it. COVID-19 disease pathogenesis is characterized by an in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473106/ https://www.ncbi.nlm.nih.gov/pubmed/32490731 http://dx.doi.org/10.1080/22221751.2020.1776161 |
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author | Gelman, Ram Bayatra, Areej Kessler, Asa Schwartz, Asaf Ilan, Yaron |
author_facet | Gelman, Ram Bayatra, Areej Kessler, Asa Schwartz, Asaf Ilan, Yaron |
author_sort | Gelman, Ram |
collection | PubMed |
description | The ongoing severe acute respiratory syndrome pandemic caused by the novel coronavirus 2 (SARS-CoV-2) is associated with high morbidity and mortality rates, and it has created a pressing global need for effective antiviral therapies against it. COVID-19 disease pathogenesis is characterized by an initial virus-mediated phase, followed by inappropriate hyperactivation of the immune system leading to organ damage. Targeting of the SARS-CoV-2 viral receptors is being explored as a therapeutic option for these patients. In this paper, we summarize several potential receptors associated with the infectivity of SARS-CoV-2 and discuss their association with the immune-mediated inflammatory response. The potential for the development of resistance towards antiviral drugs is also presented. An algorithm-based platform to improve the efficacy of and overcome resistance to viral receptor blockers through the introduction of personalized variability is described. This method is designed to ensure sustained antiviral effectiveness when using SARS-CoV-2 receptor blockers. |
format | Online Article Text |
id | pubmed-7473106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-74731062020-09-15 Targeting SARS-CoV-2 receptors as a means for reducing infectivity and improving antiviral and immune response: an algorithm-based method for overcoming resistance to antiviral agents Gelman, Ram Bayatra, Areej Kessler, Asa Schwartz, Asaf Ilan, Yaron Emerg Microbes Infect Review The ongoing severe acute respiratory syndrome pandemic caused by the novel coronavirus 2 (SARS-CoV-2) is associated with high morbidity and mortality rates, and it has created a pressing global need for effective antiviral therapies against it. COVID-19 disease pathogenesis is characterized by an initial virus-mediated phase, followed by inappropriate hyperactivation of the immune system leading to organ damage. Targeting of the SARS-CoV-2 viral receptors is being explored as a therapeutic option for these patients. In this paper, we summarize several potential receptors associated with the infectivity of SARS-CoV-2 and discuss their association with the immune-mediated inflammatory response. The potential for the development of resistance towards antiviral drugs is also presented. An algorithm-based platform to improve the efficacy of and overcome resistance to viral receptor blockers through the introduction of personalized variability is described. This method is designed to ensure sustained antiviral effectiveness when using SARS-CoV-2 receptor blockers. Taylor & Francis 2020-06-18 /pmc/articles/PMC7473106/ /pubmed/32490731 http://dx.doi.org/10.1080/22221751.2020.1776161 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Gelman, Ram Bayatra, Areej Kessler, Asa Schwartz, Asaf Ilan, Yaron Targeting SARS-CoV-2 receptors as a means for reducing infectivity and improving antiviral and immune response: an algorithm-based method for overcoming resistance to antiviral agents |
title | Targeting SARS-CoV-2 receptors as a means for reducing infectivity and
improving antiviral and immune response: an algorithm-based method for overcoming
resistance to antiviral agents |
title_full | Targeting SARS-CoV-2 receptors as a means for reducing infectivity and
improving antiviral and immune response: an algorithm-based method for overcoming
resistance to antiviral agents |
title_fullStr | Targeting SARS-CoV-2 receptors as a means for reducing infectivity and
improving antiviral and immune response: an algorithm-based method for overcoming
resistance to antiviral agents |
title_full_unstemmed | Targeting SARS-CoV-2 receptors as a means for reducing infectivity and
improving antiviral and immune response: an algorithm-based method for overcoming
resistance to antiviral agents |
title_short | Targeting SARS-CoV-2 receptors as a means for reducing infectivity and
improving antiviral and immune response: an algorithm-based method for overcoming
resistance to antiviral agents |
title_sort | targeting sars-cov-2 receptors as a means for reducing infectivity and
improving antiviral and immune response: an algorithm-based method for overcoming
resistance to antiviral agents |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7473106/ https://www.ncbi.nlm.nih.gov/pubmed/32490731 http://dx.doi.org/10.1080/22221751.2020.1776161 |
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