具有免疫损伤和两种感染途径的潜伏病毒动力学模型的全局性质。

Q2 Biochemistry, Genetics and Molecular Biology
High-Throughput Pub Date : 2019-06-03 DOI:10.3390/ht8020016
Aeshah A Raezah, Ahmed M Elaiw, Badria S Alofi
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引用次数: 3

摘要

本文研究了具有CTL免疫损伤的病毒感染模型的全局稳定性。我们将生产性和潜伏感染的细胞合并。这些模型整合了两种传播途径,细胞到细胞和病毒到细胞。在第二个模型中,考虑了饱和病毒细胞和细胞细胞发生率。导出了基本再现数,并计算了两个稳态。首先建立了系统解的非负性和有界性,然后研究了系统稳态的全局稳定性。我们利用Lyapunov方法证明了两个稳态的全局稳定性。我们用数值模拟来支持我们的定理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Global Properties of Latent Virus Dynamics Models with Immune Impairment and Two Routes of Infection.

Global Properties of Latent Virus Dynamics Models with Immune Impairment and Two Routes of Infection.

Global Properties of Latent Virus Dynamics Models with Immune Impairment and Two Routes of Infection.

Global Properties of Latent Virus Dynamics Models with Immune Impairment and Two Routes of Infection.

This paper studies the global stability of viral infection models with CTL immune impairment. We incorporate both productively and latently infected cells. The models integrate two routes of transmission, cell-to-cell and virus-to-cell. In the second model, saturated virus-cell and cell-cell incidence rates are considered. The basic reproduction number is derived and two steady states are calculated. We first establish the nonnegativity and boundedness of the solutions of the system, then we investigate the global stability of the steady states. We utilize the Lyapunov method to prove the global stability of the two steady states. We support our theorems by numerical simulations.

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来源期刊
High-Throughput
High-Throughput Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.60
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: -Microarrays -DNA Sequencing -RNA Sequencing -Protein Identification and Quantification -Cell-based Approaches -Omics Technologies -Imaging -Bioinformatics -Computational Biology/Chemistry -Statistics -Integrative Omics -Drug Discovery and Development -Microfluidics -Lab-on-a-chip -Data Mining -Databases -Multiplex Assays
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