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Modeling insights into SARS-CoV-2 respiratory tract infections prior to immune protection

Mechanistic insights into human respiratory tract (RT) infections from SARS-CoV-2 can inform public awareness as well as guide medical prevention and treatment for COVID-19 disease. Yet the complexity of the RT and the inability to access diverse regions pose fundamental roadblocks to evaluation of...

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Autores principales: Chen, Alexander, Wessler, Timothy, Daftari, Katherine, Hinton, Kameryn, Boucher, Richard C., Pickles, Raymond, Freeman, Ronit, Lai, Samuel K., Forest, M. Gregory
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Biophysical Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975607/
https://www.ncbi.nlm.nih.gov/pubmed/35378080
http://dx.doi.org/10.1016/j.bpj.2022.04.003
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author Chen, Alexander
Wessler, Timothy
Daftari, Katherine
Hinton, Kameryn
Boucher, Richard C.
Pickles, Raymond
Freeman, Ronit
Lai, Samuel K.
Forest, M. Gregory
author_facet Chen, Alexander
Wessler, Timothy
Daftari, Katherine
Hinton, Kameryn
Boucher, Richard C.
Pickles, Raymond
Freeman, Ronit
Lai, Samuel K.
Forest, M. Gregory
author_sort Chen, Alexander
collection PubMed
description Mechanistic insights into human respiratory tract (RT) infections from SARS-CoV-2 can inform public awareness as well as guide medical prevention and treatment for COVID-19 disease. Yet the complexity of the RT and the inability to access diverse regions pose fundamental roadblocks to evaluation of potential mechanisms for the onset and progression of infection (and transmission). We present a model that incorporates detailed RT anatomy and physiology, including airway geometry, physical dimensions, thicknesses of airway surface liquids (ASLs), and mucus layer transport by cilia. The model further incorporates SARS-CoV-2 diffusivity in ASLs and best-known data for epithelial cell infection probabilities, and, once infected, duration of eclipse and replication phases, and replication rate of infectious virions. We apply this baseline model in the absence of immune protection to explore immediate, short-term outcomes from novel SARS-CoV-2 depositions onto the air-ASL interface. For each RT location, we compute probability to clear versus infect; per infected cell, we compute dynamics of viral load and cell infection. Results reveal that nasal infections are highly likely within 1–2 days from minimal exposure, and alveolar pneumonia occurs only if infectious virions are deposited directly into alveolar ducts and sacs, not via retrograde propagation to the deep lung. Furthermore, to infect just 1% of the 140 m(2) of alveolar surface area within 1 week, either 10(3) boluses each with 10(6) infectious virions or 10(6) aerosols with one infectious virion, all physically separated, must be directly deposited. These results strongly suggest that COVID-19 disease occurs in stages: a nasal/upper RT infection, followed by self-transmission of infection to the deep lung. Two mechanisms of self-transmission are persistent aspiration of infected nasal boluses that drain to the deep lung and repeated rupture of nasal aerosols from infected mucosal membranes by speaking, singing, or cheering that are partially inhaled, exhaled, and re-inhaled, to the deep lung.
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spelling pubmed-89756072022-04-04 Modeling insights into SARS-CoV-2 respiratory tract infections prior to immune protection Chen, Alexander Wessler, Timothy Daftari, Katherine Hinton, Kameryn Boucher, Richard C. Pickles, Raymond Freeman, Ronit Lai, Samuel K. Forest, M. Gregory Biophys J Articles Mechanistic insights into human respiratory tract (RT) infections from SARS-CoV-2 can inform public awareness as well as guide medical prevention and treatment for COVID-19 disease. Yet the complexity of the RT and the inability to access diverse regions pose fundamental roadblocks to evaluation of potential mechanisms for the onset and progression of infection (and transmission). We present a model that incorporates detailed RT anatomy and physiology, including airway geometry, physical dimensions, thicknesses of airway surface liquids (ASLs), and mucus layer transport by cilia. The model further incorporates SARS-CoV-2 diffusivity in ASLs and best-known data for epithelial cell infection probabilities, and, once infected, duration of eclipse and replication phases, and replication rate of infectious virions. We apply this baseline model in the absence of immune protection to explore immediate, short-term outcomes from novel SARS-CoV-2 depositions onto the air-ASL interface. For each RT location, we compute probability to clear versus infect; per infected cell, we compute dynamics of viral load and cell infection. Results reveal that nasal infections are highly likely within 1–2 days from minimal exposure, and alveolar pneumonia occurs only if infectious virions are deposited directly into alveolar ducts and sacs, not via retrograde propagation to the deep lung. Furthermore, to infect just 1% of the 140 m(2) of alveolar surface area within 1 week, either 10(3) boluses each with 10(6) infectious virions or 10(6) aerosols with one infectious virion, all physically separated, must be directly deposited. These results strongly suggest that COVID-19 disease occurs in stages: a nasal/upper RT infection, followed by self-transmission of infection to the deep lung. Two mechanisms of self-transmission are persistent aspiration of infected nasal boluses that drain to the deep lung and repeated rupture of nasal aerosols from infected mucosal membranes by speaking, singing, or cheering that are partially inhaled, exhaled, and re-inhaled, to the deep lung. The Biophysical Society 2022-05-03 2022-04-02 /pmc/articles/PMC8975607/ /pubmed/35378080 http://dx.doi.org/10.1016/j.bpj.2022.04.003 Text en © 2022 Biophysical Society.
spellingShingle Articles
Chen, Alexander
Wessler, Timothy
Daftari, Katherine
Hinton, Kameryn
Boucher, Richard C.
Pickles, Raymond
Freeman, Ronit
Lai, Samuel K.
Forest, M. Gregory
Modeling insights into SARS-CoV-2 respiratory tract infections prior to immune protection
title Modeling insights into SARS-CoV-2 respiratory tract infections prior to immune protection
title_full Modeling insights into SARS-CoV-2 respiratory tract infections prior to immune protection
title_fullStr Modeling insights into SARS-CoV-2 respiratory tract infections prior to immune protection
title_full_unstemmed Modeling insights into SARS-CoV-2 respiratory tract infections prior to immune protection
title_short Modeling insights into SARS-CoV-2 respiratory tract infections prior to immune protection
title_sort modeling insights into sars-cov-2 respiratory tract infections prior to immune protection
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975607/
https://www.ncbi.nlm.nih.gov/pubmed/35378080
http://dx.doi.org/10.1016/j.bpj.2022.04.003
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