CFP last date
20 December 2024
Reseach Article

On Effectiveness of an Optimal Antiviral Bitherapy in HBV-HDV Coinfection Model

by Omar Zakary, Mostafa Rachik, Ilias Elmouki
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 127 - Number 12
Year of Publication: 2015
Authors: Omar Zakary, Mostafa Rachik, Ilias Elmouki
10.5120/ijca2015906554

Omar Zakary, Mostafa Rachik, Ilias Elmouki . On Effectiveness of an Optimal Antiviral Bitherapy in HBV-HDV Coinfection Model. International Journal of Computer Applications. 127, 12 ( October 2015), 1-10. DOI=10.5120/ijca2015906554

@article{ 10.5120/ijca2015906554,
author = { Omar Zakary, Mostafa Rachik, Ilias Elmouki },
title = { On Effectiveness of an Optimal Antiviral Bitherapy in HBV-HDV Coinfection Model },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 127 },
number = { 12 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume127/number12/22778-2015906554/ },
doi = { 10.5120/ijca2015906554 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:19:41.804390+05:30
%A Omar Zakary
%A Mostafa Rachik
%A Ilias Elmouki
%T On Effectiveness of an Optimal Antiviral Bitherapy in HBV-HDV Coinfection Model
%J International Journal of Computer Applications
%@ 0975-8887
%V 127
%N 12
%P 1-10
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this work, dynamics between uninfected cells, HBV infected cells, HDV infected cells and HBV-HDV coinfected cells are studied, based on two systems of four ordinary differential equations. The two pre-validated differential systems which are considered in this paper, are respectively associated to the case when there is no infected cell proliferation of HBV, HDV and HBV-HDV coinfected populations, and to the case when there is an infected cell proliferation. Optimal control theory is applied to these two systems. Seeking to reduce the infected groups and increase the number of uninfected hepatocytes, two control functions are introduced in the two mathematical models, representing two types of treatments. In fact, the main goal of this work is to discuss the effectiveness of an antivial bitherapy that could include any inhibitor for HDV infection such as lonafarnib, with other classical treatments often used against HBV infection such as interferons, lamivudine, adefovir and entecavir. The optimal controls are characterized in terms of the optimality system, which is solved numerically using an iterative method with a progressive-regressive Runge- Kutta fourth order scheme with a change of several parameters.

References
  1. Lyle, W., Hecht, A., Hepatitis (Deadly Diseases and Epidemics), Library Binding, September 2011. (2011)
  2. A.Packer, J.Forde, S.Hews , Y.Kuang, Mathematical models of the interrelated dynamics of hepatitis D and B, Mathematical Biosciences 247 (2014) 38–46.
  3. Hughes, S. A., Wedemeyer, H., & Harrison, P. M. (2011). Hepatitis delta virus. The Lancet, 378(9785), 73-85.
  4. Wedemeyer, H., & Manns, M. P. (2010). Epidemiology, pathogenesis and management of hepatitis D: update and challenges ahead. Nature Reviews Gastroenterology and Hepatology, 7(1), 31-40.
  5. James, H., Chow, Chow. C., Facts on File Library of Health and Living, The Encyclopedia of Hepatitis And Other Liver Diseases -Facts on File. (2006).
  6. Rizzetto, M., Canese, M. G., Arico, S., Crivelli, O., Trepo, C., Bonino, F., & Verme, G. (1977). Immunofluorescence detection of new antigen-antibody system (delta/anti-delta) associated to hepatitis B virus in liver and in serum of HBsAg carriers. Gut, 18(12), 997-1003.
  7. Hiroshi, H., Yuki, Y., Medical Intelligence Unit, Hepatitis Delta Virus-Springer US. (2006).
  8. Purcell, R., The discovery of the hepatitis viruses. Gastroenterology 1993, 104:955-63. (1993)
  9. Rizzetto, M., Hoyer, B., Canese, M., et al. Delta antigen : the association of delta antigen with hepatitis B surface antigen and ribonucleic acid in serum of delta infected chimpanzees. Proc Natl Acad Sci USA 1980 , 77:6124-8. (1980).
  10. Rizzetto, M. (1983). The delta agent. Hepatology, 3(5), 729- 737.
  11. Chakrabarty, S. P., & Joshi, H. R. (2009). Optimally controlled treatment strategy using interferon and ribavirin for hepatitis C. Journal of Biological Systems, 17(01), 97-110.
  12. Elmouki, I., & Saadi, S. (2015). Quadratic and linear controls developing an optimal treatment for the use of BCG immunotherapy in superficial bladder cancer. Optimal Control Applications and Methods. doi:10.1002/oca.2161
  13. Iwamoto, M., Watashi, K., Tsukuda, S., Aly, H. H., Fukasawa, M., Fujimoto, A., ... & Wakita, T. (2014). Evaluation and identification of hepatitis B virus entry inhibitors using HepG2 cells overexpressing a membrane transporter NTCP. Biochemical and biophysical research communications, 443(3), 808-813.
  14. Lempp, F. A., & Urban, S. (2014). Inhibitors of hepatitis B virus attachment and entry. Intervirology, 57(3-4), 151-157.
  15. Heidrich, B., Manns, M. P., & Wedemeyer, H. (2013). Treatment options for hepatitis delta virus infection. Current infectious disease reports, 15(1), 31-38.
  16. Rizzetto, Mario, and Alessia Ciancio. The prenylation inhibitor, lonafarnib: a new therapeutic strategy against hepatitis delta. The Lancet Infectious Diseases (2015).
  17. Koh, Christopher, et al. Prenylation inhibition with lonafarnib decreases hepatitis D levels in humans. The Liver Meeting. 2014.
  18. Koh, Christopher, et al. Oral prenylation inhibition with lonafarnib in chronic hepatitis D infection: a proof-of-concept randomised, double-blind, placebo-controlled phase 2A trial. The Lancet Infectious Diseases (2015).
  19. Fister KR, Panetta JC (2003) Optimal control applied to competing chemotherapeutic cell-kill strategies. SIAM J Appl Math 63:1954
  20. Almeida, JuneD, D. Rubenstein, and E. J. Stott. New antigenantibody system in Australia-antigen-positive hepatitis. The Lancet 298.7736 (1971): 1225-1227.
  21. Farci, P., Mandas, A., Coiana, A., Lai, M. E., Desmet, V., Van Eyken, P., ... & Balestrieri, A. (1994). Treatment of chronic hepatitis D with interferon alfa-2a. New England Journal of Medicine, 330(2), 88-94.
  22. Weltman, M. D., Brotodihardjo, A., Crewe, E. B., Farrell, G. C., Bililus, M., Grierson, J. M., & Liddle, C. (1995). Coinfection with hepatitis B and C or B, C and d viruses results in severe chronic liver disease and responds poorly to terferon-a treatment. Journal of viral hepatitis, 2(1), 39-45.
  23. Joshi, H. R. (2002). Optimal control of an HIV immunology model. Optimal control applications and methods, 23(4), 199- 213.
  24. L. S. Pontryagin, V. G. Boltyanskii, R. V. Gamkrelidze, E. F. Mishchenko, The Mathematical Theory of Optimal Processes, Wiley, New York, 1962.
  25. Lenhart, S.,&Workman, J. T. (2007). Optimal control applied to biological models. CRC Press.
  26. Jung, E., Lenhart, S., & Feng, Z. (2002). Optimal control of treatments in a two-strain tuberculosis model. Discrete and Continuous Dynamical Systems Series B, 2(4), 473-482.
Index Terms

Computer Science
Information Sciences

Keywords

Hepatitis B Hepatitis D HBV-HDV coinfection Pontryagin’s maximum principle