Literature DB >> 23291466

Mathematical modeling of liver enzyme elevation in HIV mono-infection.

Hasifa Nampala1, Livingstone S Luboobi, Joseph Y T Mugisha, Celestino Obua.   

Abstract

HIV-infected individuals are increasingly becoming susceptible to liver disease and, hence, liver-related mortality is on a rise. The presence of CD4+ in the liver and the presence of C-X-C chemokine receptor type 4 (CXCR4) on human hepatocytes provide a conducive environment for HIV invasion. In this study, a mathematical model is used to analyse the dynamics of HIV in the liver with the aim of investigating the existence of liver enzyme elevation in HIV mono-infected individuals. In the presence of HIV-specific cytotoxic T-lymphocytes, the model depicts a unique endemic equilibrium with a transcritical bifurcation when the basic reproductive number is unity. Results of the study show that the level of liver enzyme alanine aminotransferase (ALT) increases with increase in the rate of hepatocytes production. Numerical simulations reveal significant elevation of alanine aminotransferase with increase in viral load. The findings presuppose that while liver damage in HIV infection has mostly been associated with HIV/HBV coinfection and use of antiretroviral therapy (ART), it is possible to have liver damage solely with HIV infection.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23291466     DOI: 10.1016/j.mbs.2012.12.005

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  4 in total

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Review 2.  Liver as a target of human immunodeficiency virus infection.

Authors:  Murali Ganesan; Larisa Y Poluektova; Kusum K Kharbanda; Natalia A Osna
Journal:  World J Gastroenterol       Date:  2018-11-14       Impact factor: 5.742

3.  Modelling Optimal Control of In-Host HIV Dynamics Using Different Control Strategies.

Authors:  Purity Ngina; Rachel Waema Mbogo; Livingstone S Luboobi
Journal:  Comput Math Methods Med       Date:  2018-06-04       Impact factor: 2.238

4.  Quantitative analysis of the processes and signaling events involved in early HIV-1 infection of T cells.

Authors:  Guido Santos; Agustín Valenzuela-Fernández; Néstor V Torres
Journal:  PLoS One       Date:  2014-08-08       Impact factor: 3.240

  4 in total

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