期刊文献+

隐蔽期脉冲输注免疫因子HIV治疗模型的稳定性研究 被引量:1

Stability Study of an HIV Treatment Model with Impulsive Infusing Immune Factors in the Eclipse Phase
下载PDF
导出
摘要 考虑一类健康CD4+T细胞、隐蔽期感染细胞和有效感染细胞的HIV治疗模型,得到了无脉冲免疫因子输注时治疗模型未感染平衡点和感染平衡点局部渐近稳定的充分条件;利用脉冲微分方程的比较定理和Floquent乘子理论获得了脉冲输注免疫因子时系统无病周期解的全局渐近稳定性充分条件以及健康细胞存活率范围;通过数值模拟验证了所获得的理论结论. In this paper,we consider a class of HIV treatment model with uninfected CD4+T cells,infected CD4+T cells in the eclipse phase and productively infected cells. Then we get the sufficient condition of locally asymptotic stability of uninfected and infected e-quilibriums in the treament model without impulsive infusing immune factors. By using the comparison theorem of impulsive differential equation and Floquent multiplier theory, we obtain the sufficient conditions for the global asymptotic stability of the disease-free period-ic solution in this system with impulsive infusing immune factors and healthy cell survival. Finally,some numerical simulation are carried on to verify the effectiveness of the theoreti-cal results obtained.
出处 《南华大学学报(自然科学版)》 2014年第1期77-83,共7页 Journal of University of South China:Science and Technology
基金 南华大学研究生科研创新基金资助项目(2012XCX05) 湖南省自然科学基金资助项目(s2014j5041)
关键词 隐蔽期 免疫因子 脉冲微分方程 HIV治疗模型 稳定性 the eclipse phase immune factors impulsive differential equation HIV treat-ment model stability
  • 相关文献

参考文献10

  • 1Perelson A, Nelson P W. Mathematical analysis of HIV-1 dynamics in vivo [ J ]. Society for Industrial and Applied Mathematics, 1999,41 ( 1 ) :3-44.
  • 2王开发,梁正东.免疫系统中HIV感染模型的动力学分析[J].免疫学杂志,2000,16(2):152-154. 被引量:5
  • 3Wang K, Wang W, Liu X. Viral infection model with peri- odic lytic immune response [ J ]. Chaos, Solitons & Frac- tals,2006,28 ( 1 ) :90-99.
  • 4Zhu Huiyan,Luo Yang, Chen Meiling. Stability and Hopf bifurcation of HIV infection model with CTL-response delay [ J ]. Computers and Mathematics with Applica- tions, 2011,62 (9) : 3091-3102.
  • 5Smith R J,Wahl L M. Drug resistance in an immunologi- cal model of HIV-1 infection with impulsive drug effects [ J ]. Bulletin of Mathematical Biology, 2005,67 ( 4 ) : 783-813.
  • 6Smith R J, Schwartz E J. Predicting the potential impact of a cytotoxic T-lymphocyte HIV vaccine : How often should you vaccinate and how strong should the vaccine be? [ J]. Mathematical biosciences,2008,212(2) : 180-187.
  • 7Smith R J, Aggarwala B D. Can the viral reservoir of la- tently infected CD4+ T cells be eradicated with antiret- roviral HIV drugs? [ J ]. Journal of mathematical biolo- gy,2009,59(5) :697-715.
  • 8眭鑫,刘贤宁,周林.具有潜伏细胞和CTL免疫反应的HIV模型的稳定性分析[J].西南大学学报(自然科学版),2012,34(5):23-27. 被引量:10
  • 9Rong L, Gilchrist M A, Feng Z, et al. Modeling within- host HIV-1 dynamics and the evolution of drug resist- ance: trade-offs between viral enzyme function and drug susceptibility[ J ]. Journal of Theoretical biology, 2007, 247(4) :804-818.
  • 10Buonomo B, Vargas-De-Leon C. Global stability for an HIV-1 infection model including an eclipse stage of in- fected cells [J]. Journal of Mathematical Analysis and Applications ,2012,385 (2) :709-720.

二级参考文献14

  • 1PERELSON A S, KIRSCHNER D E, DEBOER R. Dynamics of HIV Infection of CD4+T Cells [J]. Math Biosci, 1993, 114(1): 81-125.
  • 2PERELSON A S, NELSON P W. Mathematical Analysis of HIV-I Dynamics in Vivo [J]. SIAM, 1999, 41(1) : 3-44.
  • 3INOUE T, KAJIWARA T, SASAKIA T. Global Stability of Models of Humoral Immunity Against Multiple Viral Strains [J]. Journal of Biological Dynamics, 2010, 4(3): 282-295.
  • 4MURASE A, SASAKIA T, KAJIWARA T. Stability Analysis of Pathogen-Immune Interaction Dynamics [J]. J Math Biol, 2005, 51(3): 247-267.
  • 5KAJIWARA T, SASAKIA T. A Note on the Stability Analysis of Pathogen-Immune Interaction Dynamics [J]. Discrete Cont Dyn B, 2004, 4(3): 615-622.
  • 6NOWAK M A, BANGHAM C R M. Population Dynamics of Immune Responses to Persistent Viruses [J]. Science, 1996, 272(5258): 74-79.
  • 7CULSHAW R V, RUAN S G, SPITERI R J. Optimal HIV Treatment by Maximising Immune Response [J]. J MathBiol, 2004, 48(5): 545-562.
  • 8PANGHal-yan WANGWen-di WANGKai-fa.Global Properties of Virus Dynamics with CTL Response.西南师范大学学报:自然科学版,2005,.
  • 9KRAKAUER D C, NOWAK M A. T-Cell Induced Pathogenesis in HIV: Bystander Effects and Latent Infection [J]. Proc Biol Sci, 1999, 266(1423): 1069-1075.
  • 10KIRSCHNER D E. Using Mathematics to Understand HIV Immune Dynamics [J]. Notices of the AMS, 1996, 43(2) 191-202.

共引文献13

同被引文献4

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部