Chapter title |
Mathematical modeling of HCV infection and treatment.
|
---|---|
Chapter number | 33 |
Book title |
Hepatitis C
|
Published in |
Methods in molecular biology, January 2009
|
DOI | 10.1007/978-1-59745-394-3_33 |
Pubmed ID | |
Book ISBNs |
978-1-58829-970-3, 978-1-59745-394-3
|
Authors |
Dahari, Harel, Shudo, Emi, Ribeiro, Ruy M, Perelson, Alan S, Ribeiro, Ruy M., Perelson, Alan S., Harel Dahari, Emi Shudo, Ruy M. Ribeiro, Alan S. Perelson |
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. |
Mendeley readers
Geographical breakdown
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Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 6 | 33% |
Student > Bachelor | 4 | 22% |
Professor | 3 | 17% |
Student > Master | 2 | 11% |
Researcher | 1 | 6% |
Other | 0 | 0% |
Unknown | 2 | 11% |
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Arts and Humanities | 1 | 6% |
Other | 4 | 22% |
Unknown | 3 | 17% |