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Molecular In-Depth on the Epidemiological Expansion of SARS-CoV-2 XBB.1.5
Since the beginning of the pandemic, the generation of new variants periodically recurs. The XBB.1.5 SARS-CoV-2 variant is one of the most recent. This research was aimed at verifying the potential hazard of this new subvariant. To achieve this objective, we performed a genome-based integrative appr...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142263/ https://www.ncbi.nlm.nih.gov/pubmed/37110335 http://dx.doi.org/10.3390/microorganisms11040912 |
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author | Scarpa, Fabio Azzena, Ilenia Locci, Chiara Casu, Marco Fiori, Pier Luigi Ciccozzi, Alessandra Angeletti, Silvia Imperia, Elena Giovanetti, Marta Maruotti, Antonello Borsetti, Alessandra Cauda, Roberto Cassone, Antonio Via, Allegra Pascarella, Stefano Sanna, Daria Ciccozzi, Massimo |
author_facet | Scarpa, Fabio Azzena, Ilenia Locci, Chiara Casu, Marco Fiori, Pier Luigi Ciccozzi, Alessandra Angeletti, Silvia Imperia, Elena Giovanetti, Marta Maruotti, Antonello Borsetti, Alessandra Cauda, Roberto Cassone, Antonio Via, Allegra Pascarella, Stefano Sanna, Daria Ciccozzi, Massimo |
author_sort | Scarpa, Fabio |
collection | PubMed |
description | Since the beginning of the pandemic, the generation of new variants periodically recurs. The XBB.1.5 SARS-CoV-2 variant is one of the most recent. This research was aimed at verifying the potential hazard of this new subvariant. To achieve this objective, we performed a genome-based integrative approach, integrating results from genetic variability/phylodynamics with structural and immunoinformatic analyses to obtain as comprehensive a viewpoint as possible. The Bayesian Skyline Plot (BSP) shows that the viral population size reached the plateau phase on 24 November 2022, and the number of lineages peaked at the same time. The evolutionary rate is relatively low, amounting to 6.9 × 10(−4) subs/sites/years. The NTD domain is identical for XBB.1 and XBB.1.5 whereas their RBDs only differ for the mutations at position 486, where the Phe (in the original Wuhan) is replaced by a Ser in XBB and XBB.1, and by a Pro in XBB.1.5. The variant XBB.1.5 seems to spread more slowly than sub-variants that have caused concerns in 2022. The multidisciplinary molecular in-depth analyses on XBB.1.5 performed here does not provide evidence for a particularly high risk of viral expansion. Results indicate that XBB.1.5 does not possess features to become a new, global, public health threat. As of now, in its current molecular make-up, XBB.1.5 does not represent the most dangerous variant. |
format | Online Article Text |
id | pubmed-10142263 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101422632023-04-29 Molecular In-Depth on the Epidemiological Expansion of SARS-CoV-2 XBB.1.5 Scarpa, Fabio Azzena, Ilenia Locci, Chiara Casu, Marco Fiori, Pier Luigi Ciccozzi, Alessandra Angeletti, Silvia Imperia, Elena Giovanetti, Marta Maruotti, Antonello Borsetti, Alessandra Cauda, Roberto Cassone, Antonio Via, Allegra Pascarella, Stefano Sanna, Daria Ciccozzi, Massimo Microorganisms Article Since the beginning of the pandemic, the generation of new variants periodically recurs. The XBB.1.5 SARS-CoV-2 variant is one of the most recent. This research was aimed at verifying the potential hazard of this new subvariant. To achieve this objective, we performed a genome-based integrative approach, integrating results from genetic variability/phylodynamics with structural and immunoinformatic analyses to obtain as comprehensive a viewpoint as possible. The Bayesian Skyline Plot (BSP) shows that the viral population size reached the plateau phase on 24 November 2022, and the number of lineages peaked at the same time. The evolutionary rate is relatively low, amounting to 6.9 × 10(−4) subs/sites/years. The NTD domain is identical for XBB.1 and XBB.1.5 whereas their RBDs only differ for the mutations at position 486, where the Phe (in the original Wuhan) is replaced by a Ser in XBB and XBB.1, and by a Pro in XBB.1.5. The variant XBB.1.5 seems to spread more slowly than sub-variants that have caused concerns in 2022. The multidisciplinary molecular in-depth analyses on XBB.1.5 performed here does not provide evidence for a particularly high risk of viral expansion. Results indicate that XBB.1.5 does not possess features to become a new, global, public health threat. As of now, in its current molecular make-up, XBB.1.5 does not represent the most dangerous variant. MDPI 2023-03-31 /pmc/articles/PMC10142263/ /pubmed/37110335 http://dx.doi.org/10.3390/microorganisms11040912 Text en © 2023 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 Scarpa, Fabio Azzena, Ilenia Locci, Chiara Casu, Marco Fiori, Pier Luigi Ciccozzi, Alessandra Angeletti, Silvia Imperia, Elena Giovanetti, Marta Maruotti, Antonello Borsetti, Alessandra Cauda, Roberto Cassone, Antonio Via, Allegra Pascarella, Stefano Sanna, Daria Ciccozzi, Massimo Molecular In-Depth on the Epidemiological Expansion of SARS-CoV-2 XBB.1.5 |
title | Molecular In-Depth on the Epidemiological Expansion of SARS-CoV-2 XBB.1.5 |
title_full | Molecular In-Depth on the Epidemiological Expansion of SARS-CoV-2 XBB.1.5 |
title_fullStr | Molecular In-Depth on the Epidemiological Expansion of SARS-CoV-2 XBB.1.5 |
title_full_unstemmed | Molecular In-Depth on the Epidemiological Expansion of SARS-CoV-2 XBB.1.5 |
title_short | Molecular In-Depth on the Epidemiological Expansion of SARS-CoV-2 XBB.1.5 |
title_sort | molecular in-depth on the epidemiological expansion of sars-cov-2 xbb.1.5 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10142263/ https://www.ncbi.nlm.nih.gov/pubmed/37110335 http://dx.doi.org/10.3390/microorganisms11040912 |
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