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SARS-CoV-2 viral dynamics in non-human primates
Non-human primates infected with SARS-CoV-2 exhibit mild clinical signs. Here we used a mathematical model to characterize in detail the viral dynamics in 31 cynomolgus macaques for which nasopharyngeal and tracheal viral load were frequently assessed. We identified that infected cells had a large b...
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Published in: | PLoS computational biology 2021-03, Vol.17 (3), p.e1008785-e1008785 |
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creator | Gonçalves, Antonio Maisonnasse, Pauline Donati, Flora Albert, Mélanie Behillil, Sylvie Contreras, Vanessa Naninck, Thibaut Marlin, Romain Solas, Caroline Pizzorno, Andres Lemaitre, Julien Kahlaoui, Nidhal Terrier, Olivier Ho Tsong Fang, Raphael Enouf, Vincent Dereuddre-Bosquet, Nathalie Brisebarre, Angela Touret, Franck Chapon, Catherine Hoen, Bruno Lina, Bruno Rosa Calatrava, Manuel de Lamballerie, Xavier Mentré, France Le Grand, Roger van der Werf, Sylvie Guedj, Jérémie |
description | Non-human primates infected with SARS-CoV-2 exhibit mild clinical signs. Here we used a mathematical model to characterize in detail the viral dynamics in 31 cynomolgus macaques for which nasopharyngeal and tracheal viral load were frequently assessed. We identified that infected cells had a large burst size (>104 virus) and a within-host reproductive basic number of approximately 6 and 4 in nasopharyngeal and tracheal compartment, respectively. After peak viral load, infected cells were rapidly lost with a half-life of 9 hours, with no significant association between cytokine elevation and clearance, leading to a median time to viral clearance of 10 days, consistent with observations in mild human infections. Given these parameter estimates, we predict that a prophylactic treatment blocking 90% of viral production or viral infection could prevent viral growth. In conclusion, our results provide estimates of SARS-CoV-2 viral kinetic parameters in an experimental model of mild infection and they provide means to assess the efficacy of future antiviral treatments. |
doi_str_mv | 10.1371/JOURNAL.PCBI.1008785 |
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Here we used a mathematical model to characterize in detail the viral dynamics in 31 cynomolgus macaques for which nasopharyngeal and tracheal viral load were frequently assessed. We identified that infected cells had a large burst size (>104 virus) and a within-host reproductive basic number of approximately 6 and 4 in nasopharyngeal and tracheal compartment, respectively. After peak viral load, infected cells were rapidly lost with a half-life of 9 hours, with no significant association between cytokine elevation and clearance, leading to a median time to viral clearance of 10 days, consistent with observations in mild human infections. Given these parameter estimates, we predict that a prophylactic treatment blocking 90% of viral production or viral infection could prevent viral growth. In conclusion, our results provide estimates of SARS-CoV-2 viral kinetic parameters in an experimental model of mild infection and they provide means to assess the efficacy of future antiviral treatments.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/JOURNAL.PCBI.1008785</identifier><identifier>PMID: 33730053</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Animals ; Antiviral Agents ; Antiviral Agents - pharmacology ; Basic Reproduction Number ; Biology and Life Sciences ; COVID-19 ; COVID-19 - blood ; COVID-19 - prevention & control ; COVID-19 - virology ; Cytokines ; Cytokines - blood ; Disease Models, Animal ; Disease prevention ; Dosage ; Dynamic models ; Health aspects ; Infections ; Influenza ; Laboratory animals ; Life Sciences ; Macaca fascicularis ; Macaca fascicularis - virology ; Macaques ; Medicine and Health Sciences ; Microbiology and Parasitology ; Model testing ; Nasopharynx ; Nasopharynx - virology ; Normal distribution ; Parameter estimation ; Physiological aspects ; Prophylaxis ; SARS-CoV-2 ; SARS-CoV-2 - drug effects ; SARS-CoV-2 - physiology ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Standard deviation ; Trachea ; Trachea - virology ; Upper bounds ; Viral diseases ; Viral Load ; Virology ; Virus diseases ; Virus Replication ; Virus Replication - drug effects ; Viruses</subject><ispartof>PLoS computational biology, 2021-03, Vol.17 (3), p.e1008785-e1008785</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Gonçalves et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Here we used a mathematical model to characterize in detail the viral dynamics in 31 cynomolgus macaques for which nasopharyngeal and tracheal viral load were frequently assessed. We identified that infected cells had a large burst size (>104 virus) and a within-host reproductive basic number of approximately 6 and 4 in nasopharyngeal and tracheal compartment, respectively. After peak viral load, infected cells were rapidly lost with a half-life of 9 hours, with no significant association between cytokine elevation and clearance, leading to a median time to viral clearance of 10 days, consistent with observations in mild human infections. Given these parameter estimates, we predict that a prophylactic treatment blocking 90% of viral production or viral infection could prevent viral growth. In conclusion, our results provide estimates of SARS-CoV-2 viral kinetic parameters in an experimental model of mild infection and they provide means to assess the efficacy of future antiviral treatments.</description><subject>Analysis</subject><subject>Animals</subject><subject>Antiviral Agents</subject><subject>Antiviral Agents - pharmacology</subject><subject>Basic Reproduction Number</subject><subject>Biology and Life Sciences</subject><subject>COVID-19</subject><subject>COVID-19 - blood</subject><subject>COVID-19 - prevention & control</subject><subject>COVID-19 - virology</subject><subject>Cytokines</subject><subject>Cytokines - blood</subject><subject>Disease Models, Animal</subject><subject>Disease prevention</subject><subject>Dosage</subject><subject>Dynamic models</subject><subject>Health aspects</subject><subject>Infections</subject><subject>Influenza</subject><subject>Laboratory animals</subject><subject>Life Sciences</subject><subject>Macaca 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viral dynamics in non-human primates</title><author>Gonçalves, Antonio ; Maisonnasse, Pauline ; Donati, Flora ; Albert, Mélanie ; Behillil, Sylvie ; Contreras, Vanessa ; Naninck, Thibaut ; Marlin, Romain ; Solas, Caroline ; Pizzorno, Andres ; Lemaitre, Julien ; Kahlaoui, Nidhal ; Terrier, Olivier ; Ho Tsong Fang, Raphael ; Enouf, Vincent ; Dereuddre-Bosquet, Nathalie ; Brisebarre, Angela ; Touret, Franck ; Chapon, Catherine ; Hoen, Bruno ; Lina, Bruno ; Rosa Calatrava, Manuel ; de Lamballerie, Xavier ; Mentré, France ; Le Grand, Roger ; van der Werf, Sylvie ; Guedj, Jérémie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c699t-fc31cb31ea222e2885c08b32965b65800836ee9316baea6091a635c2f031e0743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Animals</topic><topic>Antiviral Agents</topic><topic>Antiviral Agents - pharmacology</topic><topic>Basic 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(Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biological Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Publicly Available Content database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gonçalves, Antonio</au><au>Maisonnasse, Pauline</au><au>Donati, Flora</au><au>Albert, Mélanie</au><au>Behillil, Sylvie</au><au>Contreras, Vanessa</au><au>Naninck, Thibaut</au><au>Marlin, Romain</au><au>Solas, Caroline</au><au>Pizzorno, Andres</au><au>Lemaitre, Julien</au><au>Kahlaoui, Nidhal</au><au>Terrier, Olivier</au><au>Ho Tsong Fang, Raphael</au><au>Enouf, Vincent</au><au>Dereuddre-Bosquet, Nathalie</au><au>Brisebarre, Angela</au><au>Touret, Franck</au><au>Chapon, Catherine</au><au>Hoen, Bruno</au><au>Lina, Bruno</au><au>Rosa Calatrava, Manuel</au><au>de Lamballerie, Xavier</au><au>Mentré, France</au><au>Le Grand, Roger</au><au>van der Werf, Sylvie</au><au>Guedj, Jérémie</au><au>Regoes, Roland R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SARS-CoV-2 viral dynamics in non-human primates</atitle><jtitle>PLoS computational biology</jtitle><addtitle>PLoS Comput Biol</addtitle><date>2021-03-17</date><risdate>2021</risdate><volume>17</volume><issue>3</issue><spage>e1008785</spage><epage>e1008785</epage><pages>e1008785-e1008785</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>Non-human primates infected with SARS-CoV-2 exhibit mild clinical signs. Here we used a mathematical model to characterize in detail the viral dynamics in 31 cynomolgus macaques for which nasopharyngeal and tracheal viral load were frequently assessed. We identified that infected cells had a large burst size (>104 virus) and a within-host reproductive basic number of approximately 6 and 4 in nasopharyngeal and tracheal compartment, respectively. After peak viral load, infected cells were rapidly lost with a half-life of 9 hours, with no significant association between cytokine elevation and clearance, leading to a median time to viral clearance of 10 days, consistent with observations in mild human infections. Given these parameter estimates, we predict that a prophylactic treatment blocking 90% of viral production or viral infection could prevent viral growth. In conclusion, our results provide estimates of SARS-CoV-2 viral kinetic parameters in an experimental model of mild infection and they provide means to assess the efficacy of future antiviral treatments.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33730053</pmid><doi>10.1371/JOURNAL.PCBI.1008785</doi><orcidid>https://orcid.org/0000-0002-0943-9648</orcidid><orcidid>https://orcid.org/0000-0002-0555-207X</orcidid><orcidid>https://orcid.org/0000-0002-0918-6804</orcidid><orcidid>https://orcid.org/0000-0001-6239-0110</orcidid><orcidid>https://orcid.org/0000-0002-5534-5482</orcidid><orcidid>https://orcid.org/0000-0002-3210-8468</orcidid><orcidid>https://orcid.org/0000-0003-4784-0819</orcidid><orcidid>https://orcid.org/0000-0002-4928-4484</orcidid><orcidid>https://orcid.org/0000-0002-1520-5020</orcidid><orcidid>https://orcid.org/0000-0002-6261-6412</orcidid><orcidid>https://orcid.org/0000-0001-9393-7684</orcidid><orcidid>https://orcid.org/0000-0002-3826-8729</orcidid><orcidid>https://orcid.org/0000-0002-7045-1275</orcidid><orcidid>https://orcid.org/0000-0002-4734-2249</orcidid><orcidid>https://orcid.org/0000-0001-8932-0171</orcidid><orcidid>https://orcid.org/0000-0001-7895-2720</orcidid><orcidid>https://orcid.org/0000-0002-8759-2429</orcidid><orcidid>https://orcid.org/0000-0003-2862-9751</orcidid><orcidid>https://orcid.org/0000-0002-2322-3392</orcidid><orcidid>https://orcid.org/0000-0001-7609-4742</orcidid><orcidid>https://orcid.org/0000-0003-3070-3017</orcidid><orcidid>https://orcid.org/0000-0002-1148-4456</orcidid><orcidid>https://orcid.org/0000-0001-6682-6313</orcidid><orcidid>https://orcid.org/0000-0002-8959-2123</orcidid><orcidid>https://orcid.org/0000-0002-7559-9527</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1553-7358 |
ispartof | PLoS computational biology, 2021-03, Vol.17 (3), p.e1008785-e1008785 |
issn | 1553-7358 1553-734X 1553-7358 |
language | eng |
recordid | cdi_plos_journals_2513683896 |
source | PubMed Central; Coronavirus Research Database; ProQuest Publicly Available Content database |
subjects | Analysis Animals Antiviral Agents Antiviral Agents - pharmacology Basic Reproduction Number Biology and Life Sciences COVID-19 COVID-19 - blood COVID-19 - prevention & control COVID-19 - virology Cytokines Cytokines - blood Disease Models, Animal Disease prevention Dosage Dynamic models Health aspects Infections Influenza Laboratory animals Life Sciences Macaca fascicularis Macaca fascicularis - virology Macaques Medicine and Health Sciences Microbiology and Parasitology Model testing Nasopharynx Nasopharynx - virology Normal distribution Parameter estimation Physiological aspects Prophylaxis SARS-CoV-2 SARS-CoV-2 - drug effects SARS-CoV-2 - physiology Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Standard deviation Trachea Trachea - virology Upper bounds Viral diseases Viral Load Virology Virus diseases Virus Replication Virus Replication - drug effects Viruses |
title | SARS-CoV-2 viral dynamics in non-human primates |
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