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理解乙型肝炎病毒治疗期间观察到的复杂模式。

Understanding the Complex Patterns Observed during Hepatitis B Virus Therapy.

作者信息

Carracedo Rodriguez Andrea, Chung Matthias, Ciupe Stanca M

机构信息

Department of Mathematics, Virginia Tech, 460 McBryde Hall, Blacksburg, VA 24060, USA.

出版信息

Viruses. 2017 May 19;9(5):117. doi: 10.3390/v9050117.

Abstract

Data from human clinical trials have shown that the hepatitis B virus (HBV) follows complex profiles, such as bi-phasic, tri-phasic, stepwise decay and rebound. We utilized a deterministic model of HBV kinetics following antiviral therapy to uncover the mechanistic interactions behind HBV dynamics. Analytical investigation of the model was used to separate the parameter space describing virus decay and rebound. Monte Carlo sampling of the parameter space was used to determine the virological, pharmacological and immunological factors that separate the bi-phasic and tri-phasic virus profiles. We found that the level of liver infection at the start of therapy best separates the decay patterns. Moreover, drug efficacy, ratio between division of uninfected and infected cells, and the strength of cytotoxic immune response are important in assessing the amount of liver damage experienced over time and in quantifying the duration of therapy leading to virus resolution in each of the observed profiles.

摘要

来自人类临床试验的数据表明,乙型肝炎病毒(HBV)呈现出复杂的动态变化,如双相、三相、逐步衰减和反弹。我们利用抗病毒治疗后HBV动力学的确定性模型来揭示HBV动态变化背后的机制相互作用。对该模型进行分析研究,以区分描述病毒衰减和反弹的参数空间。对参数空间进行蒙特卡洛抽样,以确定区分双相和三相病毒动态变化的病毒学、药理学和免疫学因素。我们发现,治疗开始时的肝脏感染水平最能区分衰减模式。此外,药物疗效、未感染细胞与感染细胞的分裂比例以及细胞毒性免疫反应的强度,对于评估随时间推移所经历的肝脏损伤程度以及量化每种观察到的动态变化中导致病毒清除的治疗持续时间都很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c964/5454429/fceda67af46b/viruses-09-00117-g001.jpg

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