发表状态 | 已发表Published |
题名 | Data-driven models for replication kinetics of Orthohantavirus infections |
作者 | |
发表日期 | 2022-07 |
发表期刊 | Mathematical Biosciences
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ISSN/eISSN | 0025-5564 |
卷号 | 349 |
摘要 | 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, R, the genome equivalent replication number, is defined in terms of the model parameters. New final density relations are derived that associate R 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. |
关键词 | Final density relation In vitro data Orthohantavirus Within-host |
DOI | 10.1016/j.mbs.2022.108834 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology |
WOS类目 | Biology ; Mathematical & Computational Biology |
WOS记录号 | WOS:000808468100002 |
Scopus入藏号 | 2-s2.0-85130922299 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/9829 |
专题 | 理工科技学院 |
通讯作者 | Adams, Alison |
作者单位 | 1.UT-ORNL Graduate School of Genome Science and Technology,University of Tennessee,Knoxville,United States 2.Department of Mathematics,Virginia Tech,Blacksburg,United States 3.Department of Pharmacology,Vanderbilt University School of Medicine,Nashville,United States 4.Division of Infectious Diseases,Northwestern University Feinberg School of Medicine,Chicago,United States 5.Division of Science and Technology,Beijing Normal University - Hong Kong Baptist University United International College,Guangdong,Zhuhai,China 6.Department of Mathematics,Scripps College,Claremont,United States 7.Department of Microbiology,Immunology,Biochemistry,University of Tennessee,Health Science Center,Memphis,United States 8.Department of Mathematics and Statistics,Texas Tech University,Lubbock,United States |
推荐引用方式 GB/T 7714 | Adams, Alison,Murphy, Quiyana M.,Dougherty, Owen P.et al. Data-driven models for replication kinetics of Orthohantavirus infections[J]. Mathematical Biosciences, 2022, 349. |
APA | Adams, Alison., Murphy, Quiyana M., Dougherty, Owen P., Sawyer, Aubrey M., Bai, Fan., .. & Jonsson, Colleen B. (2022). Data-driven models for replication kinetics of Orthohantavirus infections. Mathematical Biosciences, 349. |
MLA | Adams, Alison,et al."Data-driven models for replication kinetics of Orthohantavirus infections". Mathematical Biosciences 349(2022). |
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