Understanding Neutrophil Dynamics during COVID-19 Infection

Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) results in varied clinical outcomes, with virus-induced chronic inflammation and tissue injury being associated with enhanced disease pathogenesis. To determine the role of tissue damage on immune populations recruitment and...

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Main Authors: Quiyana M. Murphy, Stanca M. Ciupe
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/4/2409
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author Quiyana M. Murphy
Stanca M. Ciupe
author_facet Quiyana M. Murphy
Stanca M. Ciupe
author_sort Quiyana M. Murphy
collection DOAJ
description Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) results in varied clinical outcomes, with virus-induced chronic inflammation and tissue injury being associated with enhanced disease pathogenesis. To determine the role of tissue damage on immune populations recruitment and function, a mathematical model of innate immunity following SARS-CoV-2 infection has been proposed. The model was fitted to published longitudinal immune marker data from patients with mild and severe COVID-19 disease and key parameters were estimated for each clinical outcome. Analytical, bifurcation, and numerical investigations were conducted to determine the effect of parameters and initial conditions on long-term dynamics. The results were used to suggest changes needed to achieve immune resolution.
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spelling doaj.art-080d571726254c26913d0ab4e16989442023-11-16T18:55:17ZengMDPI AGApplied Sciences2076-34172023-02-01134240910.3390/app13042409Understanding Neutrophil Dynamics during COVID-19 InfectionQuiyana M. Murphy0Stanca M. Ciupe1Department of Mathematics, Virginia Polytechnic Institute and State University, 225 Stanger Street, Blacksburg, VA 24060, USADepartment of Mathematics, Virginia Polytechnic Institute and State University, 225 Stanger Street, Blacksburg, VA 24060, USAInfection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) results in varied clinical outcomes, with virus-induced chronic inflammation and tissue injury being associated with enhanced disease pathogenesis. To determine the role of tissue damage on immune populations recruitment and function, a mathematical model of innate immunity following SARS-CoV-2 infection has been proposed. The model was fitted to published longitudinal immune marker data from patients with mild and severe COVID-19 disease and key parameters were estimated for each clinical outcome. Analytical, bifurcation, and numerical investigations were conducted to determine the effect of parameters and initial conditions on long-term dynamics. The results were used to suggest changes needed to achieve immune resolution.https://www.mdpi.com/2076-3417/13/4/2409mathematical modellingneutrophilsCOVID-19SARS-CoV-2inflammationresolution
spellingShingle Quiyana M. Murphy
Stanca M. Ciupe
Understanding Neutrophil Dynamics during COVID-19 Infection
Applied Sciences
mathematical modelling
neutrophils
COVID-19
SARS-CoV-2
inflammation
resolution
title Understanding Neutrophil Dynamics during COVID-19 Infection
title_full Understanding Neutrophil Dynamics during COVID-19 Infection
title_fullStr Understanding Neutrophil Dynamics during COVID-19 Infection
title_full_unstemmed Understanding Neutrophil Dynamics during COVID-19 Infection
title_short Understanding Neutrophil Dynamics during COVID-19 Infection
title_sort understanding neutrophil dynamics during covid 19 infection
topic mathematical modelling
neutrophils
COVID-19
SARS-CoV-2
inflammation
resolution
url https://www.mdpi.com/2076-3417/13/4/2409
work_keys_str_mv AT quiyanammurphy understandingneutrophildynamicsduringcovid19infection
AT stancamciupe understandingneutrophildynamicsduringcovid19infection