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Potential biomarkers for the early prediction of SARS-COV-2 disease outcome
The current pandemic due to the fast spreading of SARS-CoV-2 infection has caused severe impairment in health, social, economic, scientific, and medical sectors across the globe. Owing to the not so well understood mechanism of disease pathogenesis in terms of variations in immune responses, there r...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215377/ https://www.ncbi.nlm.nih.gov/pubmed/34153419 http://dx.doi.org/10.1016/j.micpath.2021.105057 |
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author | Mariappan, Vignesh Manoharan, P.S. R, Pajanivel Shanmugam, Lokesh Rao, S.R. Pillai, Agieshkumar Balakrishna |
author_facet | Mariappan, Vignesh Manoharan, P.S. R, Pajanivel Shanmugam, Lokesh Rao, S.R. Pillai, Agieshkumar Balakrishna |
author_sort | Mariappan, Vignesh |
collection | PubMed |
description | The current pandemic due to the fast spreading of SARS-CoV-2 infection has caused severe impairment in health, social, economic, scientific, and medical sectors across the globe. Owing to the not so well understood mechanism of disease pathogenesis in terms of variations in immune responses, there remains obscure why some of the patients who are infected by the novel SARS-CoV-2 develop an unpredictable clinical course that rapidly causes severe and deadly complications/manifestations. Currently, several assays are available for the confirmation of SARS-CoV-2 infection at the point of care. However, none of these assays can predict the severity of the COVID-19 disease. Thus, the identification of a prognostic biomarker that forecasts the condition of SARS-CoV-2 patients to develop a severe form of the disease could enable the clinicians for more efficient patient triage and treatment. In this regard, the present review describes the role of selected biomolecules that are crucially involved in the immune-pathogenesis of SARS-CoV-2 infection such as hyper-immune responsiveness, bradykinin storm and vascular leakage assuming these may serve as an effective prognostic biomarker in COVID-19 to understand the outcome of the disease. Based on the review, we also propose the development of a cost-effective SERS-based prognostic biosensor for the detection and quantification of biomolecules for use as a point-of-care system during a disease outbreak. |
format | Online Article Text |
id | pubmed-8215377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82153772021-06-21 Potential biomarkers for the early prediction of SARS-COV-2 disease outcome Mariappan, Vignesh Manoharan, P.S. R, Pajanivel Shanmugam, Lokesh Rao, S.R. Pillai, Agieshkumar Balakrishna Microb Pathog Article The current pandemic due to the fast spreading of SARS-CoV-2 infection has caused severe impairment in health, social, economic, scientific, and medical sectors across the globe. Owing to the not so well understood mechanism of disease pathogenesis in terms of variations in immune responses, there remains obscure why some of the patients who are infected by the novel SARS-CoV-2 develop an unpredictable clinical course that rapidly causes severe and deadly complications/manifestations. Currently, several assays are available for the confirmation of SARS-CoV-2 infection at the point of care. However, none of these assays can predict the severity of the COVID-19 disease. Thus, the identification of a prognostic biomarker that forecasts the condition of SARS-CoV-2 patients to develop a severe form of the disease could enable the clinicians for more efficient patient triage and treatment. In this regard, the present review describes the role of selected biomolecules that are crucially involved in the immune-pathogenesis of SARS-CoV-2 infection such as hyper-immune responsiveness, bradykinin storm and vascular leakage assuming these may serve as an effective prognostic biomarker in COVID-19 to understand the outcome of the disease. Based on the review, we also propose the development of a cost-effective SERS-based prognostic biosensor for the detection and quantification of biomolecules for use as a point-of-care system during a disease outbreak. Elsevier Ltd. 2021-09 2021-06-18 /pmc/articles/PMC8215377/ /pubmed/34153419 http://dx.doi.org/10.1016/j.micpath.2021.105057 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Mariappan, Vignesh Manoharan, P.S. R, Pajanivel Shanmugam, Lokesh Rao, S.R. Pillai, Agieshkumar Balakrishna Potential biomarkers for the early prediction of SARS-COV-2 disease outcome |
title | Potential biomarkers for the early prediction of SARS-COV-2 disease outcome |
title_full | Potential biomarkers for the early prediction of SARS-COV-2 disease outcome |
title_fullStr | Potential biomarkers for the early prediction of SARS-COV-2 disease outcome |
title_full_unstemmed | Potential biomarkers for the early prediction of SARS-COV-2 disease outcome |
title_short | Potential biomarkers for the early prediction of SARS-COV-2 disease outcome |
title_sort | potential biomarkers for the early prediction of sars-cov-2 disease outcome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215377/ https://www.ncbi.nlm.nih.gov/pubmed/34153419 http://dx.doi.org/10.1016/j.micpath.2021.105057 |
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