Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1298-1325 |
| Number of pages | 28 |
| Journal | Mathematical Methods in the Applied Sciences |
| Volume | 44 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 30 Jan 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- cytokines
- hepatitis B virus
- hepatocytes
- pharmacokinetics
ASJC Scopus subject areas
- General Mathematics
- General Engineering
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