• DocumentCode
    33113
  • Title

    Analysis and simulation of an adefovir anti-hepatitis b virus infection therapy immune model with alanine aminotransferase

  • Author

    Yongmei Su ; Lei Zhao ; Lequan Min

  • Author_Institution
    Sch. of Math. & Phys., Univ. of Sci. & Technol. Beijing, Beijing, China
  • Volume
    7
  • Issue
    5
  • fYear
    2013
  • fDate
    Oct-13
  • Firstpage
    205
  • Lastpage
    213
  • Abstract
    Hepatitis B virus (HBV) infection models and anti-HBV infection therapy models have been set up to understand and explain clinical phenomena. Many of these models have been proposed based on Zeuzem et al. and Nowak et al.´s basic virus infection model (BVIM). Some references have pointed out that the basic infection reproductive number of the BVIM is biologically questionable and gave the modified models with standard mass action incidences. This study describes one anti-HBV therapy immune model with alanine aminotransferase (ALT) based on standard mass action incidences. There are two basic infection reproductive numbers R0 and R1 in the model. It is proved that if R0 <; 1 and R1 <; 1, the disease free equilibrium is locally and globally asymptotically stable, respectively. For the endemic equilibrium, simulation shows that if R1 > 1, it may be also globally asymptotically stable. Simulations based on clinical data of HBV DNA and ALT can explain some clinical phenomena. Simulations of the correlation between liver cells, HBV DNA, cytotoxic T lymphocytes and ALT are also given.
  • Keywords
    DNA; blood; cellular biophysics; diseases; enzymes; liver; microorganisms; molecular biophysics; patient treatment; ALT; Adefovir antihepatitis B virus infection therapy immune model analysis; Adefovir antihepatitis B virus infection therapy immune model simulation; HBV DNA; alanine aminotransferase; asymptotic stability; basic infection reproductive number; clinical phenomena; cytotoxic T lymphocytes; disease free equilibrium; endemic equilibrium; liver cells; standard mass action incidences;
  • fLanguage
    English
  • Journal_Title
    Systems Biology, IET
  • Publisher
    iet
  • ISSN
    1751-8849
  • Type

    jour

  • DOI
    10.1049/iet-syb.2012.0054
  • Filename
    6616081