Issue |
Math. Model. Nat. Phenom.
Volume 3, Number 7, 2008
Special issue dedicated to Glenn Webb
|
|
---|---|---|
Page(s) | 229 - 266 | |
DOI | https://doi.org/10.1051/mmnp:2008051 | |
Published online | 23 October 2008 |
The Effects of HIV-1 Infection on Latent Tuberculosis
1
Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
2
Department of Mathematics, University of Michigan, Ann Arbor, Michigan, 48109, USA
3
Department of Microbiology and Immunology, University of Michigan Medical School,
Ann Arbor, Michigan, 48109, USA
Corresponding author: kirschne@umich.edu
Tuberculosis is the leading cause of death due to infectious diseases in the world today, and it is increasing due to co-infection with HIV-1, the causative agent of AIDS. Here, we examine the impact that HIV-1 infection has on persons with latent tuberculosis. Based on previous work, we develop a mathematical model of an adaptive immune response in the lung which considers relevant immune effectors such as macrophages, various sub-populations of T-cells, and key cytokines to predict which mechanisms are important to HIV-1 infection induced reactivation of tuberculosis. Our results indicate that persons latently infected with TB who are subsequently co-infected with HIV-1 will suffer reactive TB. The mechanisms that contribute to this are essentially related to a completely different cytokine environment at the onset of HIV-1 infection due to the presence of Mycobacterium tuberculosis. Our analysis suggests that macrophages play an important role during co-infection and decreases in macrophage counts are coupled to a decline in CD4+ T-cells and increased viral loads. These mechanisms are also coupled to lower recruitment of T-cells and macrophages, compromising protective immunity in the lung and eventually leading to TB reactivation. These results point to potential targets for drug and vaccine therapies.
Mathematics Subject Classification: 92D25
Key words: HIV / Mycobacterium tuberculosis / macrophages / uncertainty analysis / sensitivity analysis / mathematical model / immunology
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