Numerical study of chronic hepatitis B infection using Marchuk-Petrov model.

IF 0.9 4区 生物学 Q4 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Bioinformatics and Computational Biology Pub Date : 2023-04-01 DOI:10.1142/S0219720023400012
Michael Khristichenko, Yuri Nechepurenko, Dmitry Grebennikov, Gennady Bocharov
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Abstract

In this work, we briefly describe our technology developed for computing periodic solutions of time-delay systems and discuss the results of computing periodic solutions for the Marchuk-Petrov model with parameter values, corresponding to hepatitis B infection. We identified the regions in the model parameter space in which an oscillatory dynamics in the form of periodic solutions exists. The respective solutions can be interpreted as active forms of chronic hepatitis B. The period and amplitude of oscillatory solutions were traced along the parameter determining the efficacy of antigen presentation by macrophages for T- and B-lymphocytes in the model.. The oscillatory regimes are characterized by enhanced destruction of hepatocytes as a consequence of immunopathology and temporal reduction of viral load to values which can be a prerequisite of spontaneous recovery observed in chronic HBV infection. Our study presents a first step in a systematic analysis of the chronic HBV infection using Marchuk-Petrov model of antiviral immune response.

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慢性乙型肝炎感染的Marchuk-Petrov模型数值研究。
在这项工作中,我们简要地描述了我们为计算时滞系统的周期解而开发的技术,并讨论了计算具有参数值的Marchuk-Petrov模型的周期解的结果,对应于乙型肝炎感染。我们确定了模型参数空间中存在周期解形式的振荡动力学的区域。各自的溶液可以解释为慢性乙型肝炎的活动性形式。振荡溶液的周期和振幅沿着确定模型中巨噬细胞对T淋巴细胞和b淋巴细胞抗原呈递功效的参数进行追踪。振荡机制的特点是肝细胞的破坏增强,这是免疫病理和病毒载量暂时减少的结果,这可能是慢性HBV感染自发恢复的先决条件。我们的研究在使用抗病毒免疫反应的Marchuk-Petrov模型对慢性HBV感染进行系统分析的第一步。
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来源期刊
Journal of Bioinformatics and Computational Biology
Journal of Bioinformatics and Computational Biology MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
2.10
自引率
0.00%
发文量
57
期刊介绍: The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information. The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community. The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology. Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.
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