Analysis of hepatitis C virus infection models with hepatocyte homeostasis

Timothy C. Reluga, Harel Dahari, Alan S. Perelson

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Recently, we developed a model for hepatitis C virus (HCV) infection that explicitly includes proliferation of infected and uninfected hepatocytes. The model predictions agree with a large body of experimental observations on the kinetics of HCV RNA change during acute infection, under antiviral therapy, and after the cessation of therapy. Here we mathematically analyze and characterize both the steady state and dynamical behavior of this model. The analyses presented here not only are important for HCV infection but also should be relevant for nrodeling other infections with hepatotropic viruses, such as hepatitis B virus.

Original languageEnglish (US)
Pages (from-to)999-1023
Number of pages25
JournalSIAM Journal on Applied Mathematics
Volume69
Issue number4
DOIs
StatePublished - Jan 27 2009

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Homeostasis
Viruses
Virus
Infection
Therapy
Model
Proliferation
RNA
Dynamical Behavior
Acute
Prediction Model
Kinetics
Hepatocytes

All Science Journal Classification (ASJC) codes

  • Applied Mathematics

Cite this

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Analysis of hepatitis C virus infection models with hepatocyte homeostasis. / Reluga, Timothy C.; Dahari, Harel; Perelson, Alan S.

In: SIAM Journal on Applied Mathematics, Vol. 69, No. 4, 27.01.2009, p. 999-1023.

Research output: Contribution to journalArticle

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