乙型肝炎病毒感染的宿主内数学模型：过去、现在与未来。
Within-host mathematical models of hepatitis B virus infection: Past, present, and future.
作者信息
Goyal Ashish, Liao Laura E, Perelson Alan S
机构信息
Theoretical Biology and Biophysics, Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, New Mexico, 87545, USA.
出版信息
Curr Opin Syst Biol. 2019 Dec;18:27-35. doi: 10.1016/j.coisb.2019.10.003. Epub 2019 Nov 2.
Abstract
Mathematical modeling has been instrumental in enhancing our understanding of the viral dynamics of hepatitis B virus (HBV) infection. We give a primer on HBV infection in humans and a brief overview of the development of within-host mathematical models of HBV infection. In the last decade, models have advanced from considering chronic HBV infections under therapy to the pathogenesis of infection. We also summarize estimates of key viral dynamic parameters that have varied greatly among studies, and show that they impact model predictions. Future directions for mathematical modeling of HBV infection are proposed to better understand emerging therapies, the HBV life cycle, predicting cure, and the mechanisms involved in the immune response to HBV infection.
摘要
数学建模有助于加深我们对乙型肝炎病毒（HBV）感染的病毒动力学的理解。我们介绍了人类HBV感染的基本知识，并简要概述了HBV感染宿主内数学模型的发展。在过去十年中，模型已从考虑治疗中的慢性HBV感染发展到感染的发病机制。我们还总结了关键病毒动力学参数的估计值，这些参数在不同研究中差异很大，并表明它们会影响模型预测。提出了HBV感染数学建模的未来方向，以更好地理解新兴疗法、HBV生命周期、预测治愈情况以及HBV感染免疫反应所涉及的机制。
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