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Data-driven models for replication kinetics of Orthohantavirus infections.
Adams, Alison; Murphy, Quiyana M; Dougherty, Owen P; Sawyer, Aubrey M; Bai, Fan; Edholm, Christina J; Williams, Evan P; Allen, Linda J S; Jonsson, Colleen B.
Afiliación
  • Adams A; UT-ORNL Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, USA. Electronic address: aadams76@utk.edu.
  • Murphy QM; Department of Mathematics, Virginia Tech, Blacksburg, VA, USA.
  • Dougherty OP; Department of Pharmacology, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Sawyer AM; Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Bai F; Division of Science and Technology, Beijing Normal University - Hong Kong Baptist University United International College, Zhuhai, Guangdong, China.
  • Edholm CJ; Department of Mathematics, Scripps College, Claremont, CA, USA.
  • Williams EP; Department of Microbiology, Immunology, Biochemistry, University of Tennessee, Health Science Center, Memphis, USA.
  • Allen LJS; Department of Mathematics and Statistics, Texas Tech University, Lubbock, TX, USA.
  • Jonsson CB; Department of Microbiology, Immunology, Biochemistry, University of Tennessee, Health Science Center, Memphis, USA.
Math Biosci ; 349: 108834, 2022 07.
Article en En | MEDLINE | ID: mdl-35598641
The Hantaviridae constitute a family of viruses harbored by mice, rats, shrews, voles, moles and bats. Intriguingly, only viruses harbored by mice and rats may cause disease in humans with up to 40% case fatality rate in the Americas. Transmission of virus from rodents to humans occurs via the respiratory route and results in replication of the virus in the microvascular endothelial cells of the lung or kidney. Understanding the replication kinetics of these viruses in various cell types and how replication is abrogated by the host is critical to the development of effective therapeutics for treatment for which there are none. We formulate several new ordinary differential equation (ODE) models to examine the replication kinetics of Prospect Hill orthohantavirus (PHV). The models are distinguished by the distribution of the viral replication delay. A new threshold, RGE, the genome equivalent replication number, is defined in terms of the model parameters. New final density relations are derived that associate RGE to the asymptotic number of virions in each model. All models are fit to real time (qRT)-PCR data of genomic RNA from PHV released from Vero E6 cells over 192 h. A sensitivity analysis of the parameters is performed and models are tested for best fit. Our findings provide a basis for future research into formulating more complex mathematical models for evaluation of the replication of hantaviruses in various cell types and sources.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Orthohantavirus / Células Endoteliales Tipo de estudio: Prognostic_studies Idioma: En Revista: Math Biosci Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Orthohantavirus / Células Endoteliales Tipo de estudio: Prognostic_studies Idioma: En Revista: Math Biosci Año: 2022 Tipo del documento: Article