Simple jQuery Dropdowns
Please use this identifier to cite or link to this item:
Title: Stochastic cellular automata model and Monte Carlo simulations of CD4 + T cell dynamics with a proposed alternative leukapheresis treatment for HIV/AIDS
Authors: Monamorn Precharattana
Arthorn Nokkeaw
Wannapong Triampo
Darapond Triampo
Yongwimon Lenbury
Mahidol University
Keywords: Computer Science;Medicine
Issue Date: 1-Jul-2011
Citation: Computers in Biology and Medicine. Vol.41, No.7 (2011), 546-558
Abstract: Acquired Immunodeficiency Syndrome (AIDS) is responsible for millions of deaths worldwide. To date, many drug treatment regimens have been applied to AIDS patients but none has resulted in a successful cure. This is mainly due to the fact that free HIV particles are frequently in mutation, and infected CD4 + T cells normally reside in the lymphoid tissue where they cannot (so far) be eradicated. We present a stochastic cellular automaton (CA) model to computationally study what could be an alternative treatment, namely Leukapheresis (LCAP), to remove HIV infected leukocytes in the lymphoid tissue. We base our investigations on Monte Carlo computer simulations. Our major objective is to investigate how the number of infected CD4 + T cells changes in response to LCAP during the short-time (weeks) and long-time (years) scales of HIV/AIDS progression in an infected individual. To achieve our goal, we analyze the time evolution of the CD4 + T cell population in the lymphoid tissue (i.e., the lymph node) for HIV dynamics in treatment situations with various starting times and frequencies and under a no treatment condition. Our findings suggest that the effectiveness of the treatment depends mainly on the treatment starting time and the frequency of the LCAP. Other factors (e.g., the removal proportion, the treatment duration, and the state of removed cells) that likely influence disease progression are subjects for further investigation. © 2011 Elsevier Ltd.
ISSN: 18790534
Appears in Collections:Scopus 2011-2015

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.