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Mathematical Modeling of Impacts of Patient Differences on COVID-19 Lung Fibrosis Outcomes

View ORCID ProfileMohammad Aminul Islam, View ORCID ProfileAshlee N. Ford Versypt
doi: https://doi.org/10.1101/2022.11.06.515367
Mohammad Aminul Islam
aDepartment of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA
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Ashlee N. Ford Versypt
aDepartment of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA
bDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA
cInstitute for Artificial Intelligence and Data Science, University at Buffalo, The State University of New York, Buffalo, NY, 14260, USA
dWitebsky Center for Microbial Pathogenesis and Immunology, University at Buffalo, The State University of New York, Buffalo, NY, 14203, USA
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  • For correspondence: ashleefv@buffalo.edu
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Abstract

Patient-specific premorbidity, age, and sex are significant heterogeneous factors that influence the severe manifestation of lung diseases, including COVID-19 fibrosis. The renin-angiotensin system (RAS) plays a prominent role in regulating effects of these factors. Recent evidence suggests that patient-specific alteration of RAS homeostasis with premorbidity and the expression level of angiotensin converting enzyme 2 (ACE2), depending on age and sex, is correlated with lung fibrosis. However, conflicting evidence suggests decreases, increases, or no changes in RAS after SARS-CoV-2 infection. In addition, detailed mechanisms connecting the patient-specific conditions before infection to infection-induced fibrosis are still unknown. Here, a mathematical model is developed to quantify the systemic contribution of heterogeneous factors of RAS in the progression of lung fibrosis. Three submodels are connected—a RAS model, an agent-based COVID-19 in-host immune response model, and a fibrosis model—to investigate the effects of patient-group-specific factors in the systemic alteration of RAS and collagen deposition in the lung. The model results indicate cell death due to inflammatory response as a major contributor to the reduction of ACE and ACE2, whereas there are no significant changes in ACE2 dynamics due to viral-bound internalization of ACE2. Reduction of ACE reduces the homeostasis of RAS including angiotensin II (ANGII), while the decrease in ACE2 increases ANGII and results in severe lung injury and fibrosis. The model explains possible mechanisms for conflicting evidence of RAS alterations in previously published studies. Also, the results show that ACE2 variations with age and sex significantly alter RAS peptides and lead to fibrosis with around 20% additional collagen deposition from systemic RAS with slight variations depending on age and sex. This model may find further applications in patient-specific calibrations of tissue models for acute and chronic lung diseases to develop personalized treatments.

Competing Interest Statement

The authors have declared no competing interest.

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Posted November 07, 2022.
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Mathematical Modeling of Impacts of Patient Differences on COVID-19 Lung Fibrosis Outcomes
Mohammad Aminul Islam, Ashlee N. Ford Versypt
bioRxiv 2022.11.06.515367; doi: https://doi.org/10.1101/2022.11.06.515367
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Mathematical Modeling of Impacts of Patient Differences on COVID-19 Lung Fibrosis Outcomes
Mohammad Aminul Islam, Ashlee N. Ford Versypt
bioRxiv 2022.11.06.515367; doi: https://doi.org/10.1101/2022.11.06.515367

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