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Clinico-Genomic Analysis Reveals Mutations Associated with COVID-19 Disease Severity: Possible Modulation by RNA Structure
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) manifests a broad spectrum of clinical presentations, varying in severity from asymptomatic to mortality. As the viral infection spread, it evolved and developed into many variants of concern. Understanding the impact of mutations in the S...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464923/ https://www.ncbi.nlm.nih.gov/pubmed/34578142 http://dx.doi.org/10.3390/pathogens10091109 |
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author | Mehta, Priyanka Alle, Shanmukh Chaturvedi, Anusha Swaminathan, Aparna Saifi, Sheeba Maurya, Ranjeet Chattopadhyay, Partha Devi, Priti Chauhan, Ruchi Kanakan, Akshay Vasudevan, Janani Srinivasa Sethuraman, Ramanathan Chidambaram, Subramanian Srivastava, Mashrin Chakravarthi, Avinash Jacob, Johnny Namagiri, Madhuri Konala, Varma Jha, Sujeet Priyakumar, U. Deva Vinod, P. K. Pandey, Rajesh |
author_facet | Mehta, Priyanka Alle, Shanmukh Chaturvedi, Anusha Swaminathan, Aparna Saifi, Sheeba Maurya, Ranjeet Chattopadhyay, Partha Devi, Priti Chauhan, Ruchi Kanakan, Akshay Vasudevan, Janani Srinivasa Sethuraman, Ramanathan Chidambaram, Subramanian Srivastava, Mashrin Chakravarthi, Avinash Jacob, Johnny Namagiri, Madhuri Konala, Varma Jha, Sujeet Priyakumar, U. Deva Vinod, P. K. Pandey, Rajesh |
author_sort | Mehta, Priyanka |
collection | PubMed |
description | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) manifests a broad spectrum of clinical presentations, varying in severity from asymptomatic to mortality. As the viral infection spread, it evolved and developed into many variants of concern. Understanding the impact of mutations in the SARS-CoV-2 genome on the clinical phenotype and associated co-morbidities is important for treatment and preventionas the pandemic progresses. Based on the mild, moderate, and severe clinical phenotypes, we analyzed the possible association between both, the clinical sub-phenotypes and genomic mutations with respect to the severity and outcome of the patients. We found a significant association between the requirement of respiratory support and co-morbidities. We also identified six SARS-CoV-2 genome mutations that were significantly correlated with severity and mortality in our cohort. We examined structural alterations at the RNA and protein levels as a result of three of these mutations: A26194T, T28854T, and C25611A, present in the Orf3a and N protein. The RNA secondary structure change due to the above mutations can be one of the modulators of the disease outcome. Our findings highlight the importance of integrative analysis in which clinical and genetic components of the disease are co-analyzed. In combination with genomic surveillance, the clinical outcome-associated mutations could help identify individuals for priority medical support. |
format | Online Article Text |
id | pubmed-8464923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84649232021-09-27 Clinico-Genomic Analysis Reveals Mutations Associated with COVID-19 Disease Severity: Possible Modulation by RNA Structure Mehta, Priyanka Alle, Shanmukh Chaturvedi, Anusha Swaminathan, Aparna Saifi, Sheeba Maurya, Ranjeet Chattopadhyay, Partha Devi, Priti Chauhan, Ruchi Kanakan, Akshay Vasudevan, Janani Srinivasa Sethuraman, Ramanathan Chidambaram, Subramanian Srivastava, Mashrin Chakravarthi, Avinash Jacob, Johnny Namagiri, Madhuri Konala, Varma Jha, Sujeet Priyakumar, U. Deva Vinod, P. K. Pandey, Rajesh Pathogens Article Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) manifests a broad spectrum of clinical presentations, varying in severity from asymptomatic to mortality. As the viral infection spread, it evolved and developed into many variants of concern. Understanding the impact of mutations in the SARS-CoV-2 genome on the clinical phenotype and associated co-morbidities is important for treatment and preventionas the pandemic progresses. Based on the mild, moderate, and severe clinical phenotypes, we analyzed the possible association between both, the clinical sub-phenotypes and genomic mutations with respect to the severity and outcome of the patients. We found a significant association between the requirement of respiratory support and co-morbidities. We also identified six SARS-CoV-2 genome mutations that were significantly correlated with severity and mortality in our cohort. We examined structural alterations at the RNA and protein levels as a result of three of these mutations: A26194T, T28854T, and C25611A, present in the Orf3a and N protein. The RNA secondary structure change due to the above mutations can be one of the modulators of the disease outcome. Our findings highlight the importance of integrative analysis in which clinical and genetic components of the disease are co-analyzed. In combination with genomic surveillance, the clinical outcome-associated mutations could help identify individuals for priority medical support. MDPI 2021-08-31 /pmc/articles/PMC8464923/ /pubmed/34578142 http://dx.doi.org/10.3390/pathogens10091109 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mehta, Priyanka Alle, Shanmukh Chaturvedi, Anusha Swaminathan, Aparna Saifi, Sheeba Maurya, Ranjeet Chattopadhyay, Partha Devi, Priti Chauhan, Ruchi Kanakan, Akshay Vasudevan, Janani Srinivasa Sethuraman, Ramanathan Chidambaram, Subramanian Srivastava, Mashrin Chakravarthi, Avinash Jacob, Johnny Namagiri, Madhuri Konala, Varma Jha, Sujeet Priyakumar, U. Deva Vinod, P. K. Pandey, Rajesh Clinico-Genomic Analysis Reveals Mutations Associated with COVID-19 Disease Severity: Possible Modulation by RNA Structure |
title | Clinico-Genomic Analysis Reveals Mutations Associated with COVID-19 Disease Severity: Possible Modulation by RNA Structure |
title_full | Clinico-Genomic Analysis Reveals Mutations Associated with COVID-19 Disease Severity: Possible Modulation by RNA Structure |
title_fullStr | Clinico-Genomic Analysis Reveals Mutations Associated with COVID-19 Disease Severity: Possible Modulation by RNA Structure |
title_full_unstemmed | Clinico-Genomic Analysis Reveals Mutations Associated with COVID-19 Disease Severity: Possible Modulation by RNA Structure |
title_short | Clinico-Genomic Analysis Reveals Mutations Associated with COVID-19 Disease Severity: Possible Modulation by RNA Structure |
title_sort | clinico-genomic analysis reveals mutations associated with covid-19 disease severity: possible modulation by rna structure |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8464923/ https://www.ncbi.nlm.nih.gov/pubmed/34578142 http://dx.doi.org/10.3390/pathogens10091109 |
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