Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Immune Response Against Viral Pathogens01:29

Immune Response Against Viral Pathogens

776
The immune system's response to viral infections is a complex and coordinated process involving natural killer (NK) cells, T cell-mediated responses, and antibody-mediated responses.
NK Cells
NK cells are a crucial part of our innate immune system, acting as the first line of defense against viral infections. These cells can recognize and kill infected cells without prior exposure to the virus, effectively slowing down the spread of infection. Additionally, NK cells produce proinflammatory...
776

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A Mathematical Model to Study the Potential Hepatitis B Virus Infections and Effects of Vaccination Strategies in China.

Vaccines·2023
Same author

A study on the transmission dynamics of COVID-19 considering the impact of asymptomatic infection.

Journal of biological dynamics·2023
Same author

An improved method of global dynamics: Analyzing the COVID-19 model with time delays and exposed infection.

Chaos (Woodbury, N.Y.)·2023
查看所有相关文章

相关实验视频

Updated: Jun 25, 2025

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes
10:11

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes

Published on: September 27, 2014

36.2K

利亚普诺夫函数用于具有不同CTL响应的一般时间延迟病毒动态模型.

Ke Guo1, Songbai Guo2

  • 1School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, China.

Chaos (Woodbury, N.Y.)
|May 29, 2024
PubMed
概括

这项研究引入了一种具有时间延迟和复杂免疫反应的病毒动态模型. 它为所有模型平衡建立了全球稳定性,推进了我们对病毒感染和免疫系统相互作用的理解.

科学领域:

  • 数学生物学 数学生物学
  • 病毒学 病毒学
  • 免疫学 免疫学 免疫学

背景情况:

  • 时间延迟的病毒动态模型对于了解感染至关重要.
  • 非线性细胞毒性T淋巴细胞 (CTL) 反应和免疫损伤复杂化模型分析.
  • 以前的模型经常对发生率函数做出简化的假设.

研究的目的:

  • 提出一种新的时间延迟病毒动态模型,包括一般单调发病率和独特的非线性CTL反应.
  • 严格分析在免疫功能受损的情况下,所有平衡的全球稳定性.
  • 解决现有模型关于发生函数导数的局限性.

主要方法:

  • 开发一种延迟时间的病毒动态模型,具有一般单调的发病率.
  • 构建利亚普诺夫函数和应用详细分析技术.
  • 对各种平衡的全球非对称稳定性 (GAS) 分析.

主要成果:

  • 建立了无感染平衡 (E0) 的全局非对称稳定性的条件,当基本复制数 (R0) 小于或等于1时.
  • 确定免疫失活感染平衡 (E1) 全球非对称稳定性的条件 (E1).
  • 证明了免疫激活感染平衡 (E+) 存在时的全球非对称稳定性.

更多相关视频

Dissecting Host-virus Interaction in Lytic Replication of a Model Herpesvirus
11:28

Dissecting Host-virus Interaction in Lytic Replication of a Model Herpesvirus

Published on: October 7, 2011

11.0K
Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 3
07:35

Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 3

Published on: April 13, 2009

8.2K

相关实验视频

Last Updated: Jun 25, 2025

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes
10:11

Modeling The Lifecycle Of Ebola Virus Under Biosafety Level 2 Conditions With Virus-like Particles Containing Tetracistronic Minigenomes

Published on: September 27, 2014

36.2K
Dissecting Host-virus Interaction in Lytic Replication of a Model Herpesvirus
11:28

Dissecting Host-virus Interaction in Lytic Replication of a Model Herpesvirus

Published on: October 7, 2011

11.0K
Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 3
07:35

Vaccinia Virus Infection & Temporal Analysis of Virus Gene Expression: Part 3

Published on: April 13, 2009

8.2K

结论:

  • 该模型为研究复杂免疫反应的病毒动态提供了更全面的框架.
  • 与现有文献相比,这些发现提供了改进或扩展的结果.
  • 数学分析证实了在特定条件下不同感染状态的稳定性.