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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
ISSN/eISSN0025-5564
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
DOI10.1016/j.mbs.2022.108834
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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
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
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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