期刊
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
卷 44, 期 2, 页码 1298-1325出版社
WILEY
DOI: 10.1002/mma.6829
关键词
cytokines; hepatitis B virus; hepatocytes; pharmacokinetics
资金
- DST-NRF Center of Excellence in Mathematical and Statistical Sciences(CoE-MaSS) [BA2018_019]
The paper presents a theoretical mathematical model of within-host hepatitis B virus infection in the chronic phase of liver cancer, considering suboptimal adherence and drug resistance. The study highlights that natural drug resistance has a stronger impact on increasing the virus burden compared to suboptimal adherence. Combination therapies are more effective in reducing virus infection than monotherapies.
In this paper, we formulate and analyze a within-host hepatitis B viral theoretical mathematical model for hepatitis B virus infection in the chronic phase of liver cancer with suboptimal adherence and drug resistance. The model incorporates hepatocytes, hepatitis B virus, immune cells, and cytokine dynamics using a system of ordinary differential equations. Treatment was captured using efficacy functions replicating the realistic pharmacokinetics properties of two drugs, one of which is administered intravenously and the other orally. Our results suggest that natural drug resistance increases the hepatitis B virus burden more than suboptimal adherence to drugs from both monotherapies and combined therapies. The results also suggest that the inclusion of both immune cells and cytokine responses is essential and that combination therapies are more significant in reducing hepatitis B virus infection than monotherapies.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据