Mathematical models of the interrelated dynamics of hepatitis D and B
| Autor: | Jonathan E. Forde, Sarah Hews, Yang Kuang, Aaron Packer |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Statistics and Probability
Hepatitis B virus viruses Virus Replication General Biochemistry Genetics and Molecular Biology Virus medicine Humans Computer Simulation Cell Proliferation General Immunology and Microbiology biology Coinfection Applied Mathematics HEPATITIS DELTA Models Immunological virus diseases Lamivudine General Medicine biochemical phenomena metabolism and nutrition Hepatitis B medicine.disease biology.organism_classification Hepatitis D Virology Modeling and Simulation Immunology Hepatocytes Satellite (biology) Hepatitis Delta Virus General Agricultural and Biological Sciences Viral hepatitis medicine.drug |
| Zdroj: | Mathematical Biosciences. 247:38-46 |
| ISSN: | 0025-5564 |
| DOI: | 10.1016/j.mbs.2013.10.004 |
| Popis: | The hepatitis delta virus (HDV) is a rarest form of viral hepatitis, but has the worst outcomes for patients. It is a subviral satellite dependent on coinfection with hepatitis B (HBV) to replicate within the host liver. To date, there has been little to no modeling effort for HDV. Deriving and analyzing such a mathematical model poses difficulty as it requires the inclusion of (HBV). Here we begin with a well-studied HBV model from the literature and expand it to incorporate HDV. We investigate two models, one with and one without infected hepatocyte replication. Additionally, we consider treatment by the drug lamivudine. Comparison of model simulations with experimental results of lamivudine treatment indicate that infected cell proliferation may play a significant role in chronic HDV infection. Our results also shed light on several questions surrounding HDV and illustrate the need for more data. |
| Databáze: | OpenAIRE |
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