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丙型肝炎病毒感染与治疗的数学建模

Mathematical modeling of HCV infection and treatment.

作者信息

Dahari Harel, Shudo Emi, Ribeiro Ruy M, Perelson Alan S

机构信息

Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA.

出版信息

Methods Mol Biol. 2009;510:439-53. doi: 10.1007/978-1-59745-394-3_33.

DOI:10.1007/978-1-59745-394-3_33
PMID:19009281
Abstract

In the last decade, viral kinetic modeling has played an important role in the analysis of HCV RNA decay after the initiation of antiviral therapy. Models have provided a means of evaluating the antiviral effectiveness of therapy and of estimating parameters, such as the rate of virion clearance and the rate of loss of HCV-infected cells, and they have suggested mechanisms of action for both interferon-alpha and ribavirin. The inclusion of homeostatic proliferation of infected and uninfected hepatocytes in existing viral kinetic models has allowed prediction of most observed HCV RNA profiles under treatment, for example, biphasic and triphasic viral decay and viral rebound to baseline values after the cessation of therapy. In addition, new kinetic models have taken into consideration the different pharmacokinetics of standard and pegylated forms of interferon and have incorporated alanine aminotransferase kinetics and aspects of immune responses to provide a more comprehensive picture of the biology underlying changes in HCV RNA during therapy. Here, we describe our current understanding of the kinetics of HCV infection and treatment.

摘要

在过去十年中,病毒动力学模型在抗病毒治疗开始后丙型肝炎病毒(HCV)RNA衰减分析中发挥了重要作用。这些模型提供了一种评估治疗抗病毒效果以及估算诸如病毒粒子清除率和HCV感染细胞损失率等参数的方法,并且它们还揭示了α干扰素和利巴韦林的作用机制。在现有的病毒动力学模型中纳入受感染和未受感染肝细胞的稳态增殖,使得能够预测治疗过程中观察到的大多数HCV RNA谱,例如双相和三相病毒衰减以及治疗停止后病毒反弹至基线值。此外,新的动力学模型考虑了标准干扰素和聚乙二醇化干扰素不同的药代动力学,并纳入了丙氨酸转氨酶动力学和免疫反应方面的内容,以更全面地描绘治疗期间HCV RNA变化背后的生物学特性。在此,我们描述了我们目前对HCV感染和治疗动力学的理解。

相似文献

1
Mathematical modeling of HCV infection and treatment.丙型肝炎病毒感染与治疗的数学建模
Methods Mol Biol. 2009;510:439-53. doi: 10.1007/978-1-59745-394-3_33.
2
New kinetic models for the hepatitis C virus.丙型肝炎病毒的新动力学模型。
Hepatology. 2005 Oct;42(4):749-54. doi: 10.1002/hep.20882.
3
Modelling how ribavirin improves interferon response rates in hepatitis C virus infection.模拟利巴韦林如何提高丙型肝炎病毒感染中的干扰素反应率。
Nature. 2004 Dec 16;432(7019):922-4. doi: 10.1038/nature03153.
4
Hepatitis C kinetics: mathematical modeling of viral response to therapy.丙型肝炎动力学:病毒对治疗反应的数学建模
Semin Liver Dis. 2000;20(2):173-83. doi: 10.1055/s-2000-9940.
5
Triphasic decline of hepatitis C virus RNA during antiviral therapy.抗病毒治疗期间丙型肝炎病毒RNA的三相下降
Hepatology. 2007 Jul;46(1):16-21. doi: 10.1002/hep.21657.
6
Dynamics of alanine aminotransferase during hepatitis C virus treatment.丙型肝炎病毒治疗期间谷丙转氨酶的动态变化
Hepatology. 2003 Aug;38(2):509-17. doi: 10.1053/jhep.2003.50344.
7
Understanding hepatitis C viral dynamics with direct-acting antiviral agents due to the interplay between intracellular replication and cellular infection dynamics.了解直接作用抗病毒药物的丙型肝炎病毒动力学,因为细胞内复制和细胞感染动力学之间存在相互作用。
J Theor Biol. 2010 Dec 7;267(3):330-40. doi: 10.1016/j.jtbi.2010.08.036. Epub 2010 Sep 8.
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Mechanism of action of interferon and ribavirin in treatment of hepatitis C.干扰素和利巴韦林治疗丙型肝炎的作用机制。
Nature. 2005 Aug 18;436(7053):967-72. doi: 10.1038/nature04082.
9
A mutational shift from domain III to II in the internal ribosome entry site of hepatitis C virus after interferon-ribavirin therapy.丙肝病毒内部核糖体进入位点在干扰素-利巴韦林治疗后发生从结构域III到结构域II的突变转变。
Arch Virol. 2008;153(8):1575-9. doi: 10.1007/s00705-008-0143-5. Epub 2008 Jul 1.
10
Current and future concepts in hepatitis C therapy.丙型肝炎治疗的当前与未来概念
Semin Liver Dis. 2005 Feb;25(1):72-83. doi: 10.1055/s-2005-864783.

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