Analysis of HIV latent infection model with multiple infection stages and different drug classes.

IF 2.7 4区 数学 Q3 ECOLOGY
Areej Alshorman, Nidal Al-Hosainat, Trachette Jackson
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引用次数: 1

Abstract

Latently infected CD4+ T cells represent one of the major obstacles to HIV eradication even after receiving prolonged highly active anti-retroviral therapy (HAART). Long-term use of HAART causes the emergence of drug-resistant virus which is then involved in HIV transmission. In this paper, we develop mathematical HIV models with staged disease progression by incorporating entry inhibitor and latently infected cells. We find that entry inhibitor has the same effect as protease inhibitor on the model dynamics and therefore would benefit HIV patients who developed resistance to many of current anti-HIV medications. Numerical simulations illustrate the theoretical results and show that the virus and latently infected cells reach an infected steady state in the absence of treatment and are eliminated under treatment whereas the model including homeostatic proliferation of latently infected cells maintains the virus at low level during suppressive treatment. Therefore, complete cure of HIV needs complete eradication of latent reservoirs.

多感染阶段、不同药物类别HIV潜伏感染模型分析。
潜伏感染的CD4+ T细胞是根除艾滋病毒的主要障碍之一,即使在接受长期高效抗逆转录病毒治疗(HAART)后也是如此。长期使用HAART会导致耐药病毒的出现,从而参与艾滋病毒的传播。在本文中,我们建立数学模型与分期疾病进展纳入进入抑制剂和潜伏感染细胞。我们发现,进入抑制剂与蛋白酶抑制剂在模型动力学上具有相同的作用,因此将有利于对许多当前抗HIV药物产生耐药性的HIV患者。数值模拟验证了理论结果,表明病毒和潜伏感染细胞在不处理的情况下达到感染稳态,并在处理下被消除,而包含潜伏感染细胞稳态增殖的模型在抑制处理期间将病毒维持在低水平。因此,彻底治愈艾滋病毒需要彻底根除潜伏库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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