Literature DB >> 9925811

Dynamics of co-infection with M. Tuberculosis and HIV-1.

D Kirschner1.   

Abstract

Since 1985, there has been a renewed epidemic of tuberculosis (TB) that was previously thought to be in check. There is evidence to believe the main factor for this resurgence has been the human immunodeficiency virus (HIV). Co-infection with HIV and M. Tuberculosis has profound implications for the course of both diseases. This study represents a first attempt to understand how the introduction of an opportunistic infection, namely Mycobacterium tuberculosis, the bacteria that causes TB, affects the dynamic interaction of HIV-1 and the immune system. We create a mathematical model using ordinary differential equations to describe the interaction of HIV and TB with the immune system. It is known that infection with TB can decrease the CD4(+) T cell counts-a key marker of AIDS progression; thus, it shortens survival in HIV infected individuals. Another main marker for HIV progression is the viral load. If this load is increased due to the presence of opportunistic infections, the disease progression is much more rapid. We also explore the effects of drug treatment on the TB infection in the doubly-infected patient. Copyright 1999 Academic Press.

Entities:  

Mesh:

Year:  1999        PMID: 9925811     DOI: 10.1006/tpbi.1998.1382

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  16 in total

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2.  Immunoadjuvant prednisolone therapy for HIV-associated tuberculosis: a phase 2 clinical trial in Uganda.

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3.  A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.

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4.  A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes.

Authors:  Chang Gong; Jennifer J Linderman; Denise Kirschner
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Review 5.  Epidemiological models of Mycobacterium tuberculosis complex infections.

Authors:  Cagri Ozcaglar; Amina Shabbeer; Scott L Vandenberg; Bülent Yener; Kristin P Bennett
Journal:  Math Biosci       Date:  2012-03-01       Impact factor: 2.144

6.  Dynamic mathematical models of HIV/AIDS transmission in China.

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Review 7.  Effect of treating co-infections on HIV-1 viral load: a systematic review.

Authors:  Kayvon Modjarrad; Sten H Vermund
Journal:  Lancet Infect Dis       Date:  2010-07       Impact factor: 25.071

8.  Host immune responses that promote initial HIV spread.

Authors:  K Wendelsdorf; G Dean; Shuhua Hu; S Nordone; H T Banks
Journal:  J Theor Biol       Date:  2011-08-22       Impact factor: 2.691

9.  Assessing the impact of feline immunodeficiency virus and bovine tuberculosis co-infection in African lions.

Authors:  M Maas; D F Keet; V P M G Rutten; J A P Heesterbeek; M Nielen
Journal:  Proc Biol Sci       Date:  2012-08-22       Impact factor: 5.349

10.  Extremely high HIV-1 viral load in a patient with undiagnosed clinical indicator disease for HIV infection.

Authors:  Stuart Flanagan; Sophia De Saram; Rageshri Dhairyawan
Journal:  BMJ Case Rep       Date:  2015-11-24
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