Global Dynamics of a Virus-Immune System with Virus-Guided Therapy and Saturation Growth of Virus

We considered a piecewise virus-immune dynamic model to investigate the effectiveness of the HIV virus loads-guided structured treatment interruptions (STIs). To better describe the biological reality, we extended the existing models by taking the carrying capacity of the virus loads into considerat...

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Main Authors: Qian Li, Yanni Xiao
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2018/4710586
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spelling doaj-a72a0c1d5b644014a0e5b2beef3833512020-11-24T23:40:06ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/47105864710586Global Dynamics of a Virus-Immune System with Virus-Guided Therapy and Saturation Growth of VirusQian Li0Yanni Xiao1School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, ChinaSchool of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, ChinaWe considered a piecewise virus-immune dynamic model to investigate the effectiveness of the HIV virus loads-guided structured treatment interruptions (STIs). To better describe the biological reality, we extended the existing models by taking the carrying capacity of the virus loads into consideration to indicate the saturated growth of virus loads. We initially investigated the sliding dynamics of the proposed model and then obtained the global dynamics of the proposed model. Our main results showed that the system can exhibit very complex and diverse dynamic behaviors including a globally asymptotically stable equilibrium, bistable equilibra, and tristable equilibria, depending on the dynamics of the subsystems and the threshold level. In particular, an interesting result indicated that, with a proper threshold condition, the virus-guided therapy policy can successfully control the virus loads far below its carrying capacity and maintain the activity of the immune system for the case that the effector cells always go to zero without therapy or with continuous therapy. The finding suggested that the optimal strategy should be individual-based due to coexistence of multiple stable steady states, depending on the threshold conditions and the initial levels of viral loads and effector cells of the patients.http://dx.doi.org/10.1155/2018/4710586
collection DOAJ
language English
format Article
sources DOAJ
author Qian Li
Yanni Xiao
spellingShingle Qian Li
Yanni Xiao
Global Dynamics of a Virus-Immune System with Virus-Guided Therapy and Saturation Growth of Virus
Mathematical Problems in Engineering
author_facet Qian Li
Yanni Xiao
author_sort Qian Li
title Global Dynamics of a Virus-Immune System with Virus-Guided Therapy and Saturation Growth of Virus
title_short Global Dynamics of a Virus-Immune System with Virus-Guided Therapy and Saturation Growth of Virus
title_full Global Dynamics of a Virus-Immune System with Virus-Guided Therapy and Saturation Growth of Virus
title_fullStr Global Dynamics of a Virus-Immune System with Virus-Guided Therapy and Saturation Growth of Virus
title_full_unstemmed Global Dynamics of a Virus-Immune System with Virus-Guided Therapy and Saturation Growth of Virus
title_sort global dynamics of a virus-immune system with virus-guided therapy and saturation growth of virus
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2018-01-01
description We considered a piecewise virus-immune dynamic model to investigate the effectiveness of the HIV virus loads-guided structured treatment interruptions (STIs). To better describe the biological reality, we extended the existing models by taking the carrying capacity of the virus loads into consideration to indicate the saturated growth of virus loads. We initially investigated the sliding dynamics of the proposed model and then obtained the global dynamics of the proposed model. Our main results showed that the system can exhibit very complex and diverse dynamic behaviors including a globally asymptotically stable equilibrium, bistable equilibra, and tristable equilibria, depending on the dynamics of the subsystems and the threshold level. In particular, an interesting result indicated that, with a proper threshold condition, the virus-guided therapy policy can successfully control the virus loads far below its carrying capacity and maintain the activity of the immune system for the case that the effector cells always go to zero without therapy or with continuous therapy. The finding suggested that the optimal strategy should be individual-based due to coexistence of multiple stable steady states, depending on the threshold conditions and the initial levels of viral loads and effector cells of the patients.
url http://dx.doi.org/10.1155/2018/4710586
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