Literature DB >> 10380683

T-cell induced pathogenesis in HIV: bystander effects and latent infection.

D C Krakauer1, M Nowak.   

Abstract

The progress of HIV is accompanied by the infection and decline of the population of CD4+ cells. This reduction in cells results from both cytolytic influences of the virus and virus-specific cytotoxic T-cell (CTL) responses. We seek to characterize the extent of CD4+ reduction caused by HIV-specific CTLs at equilibrium. Here we show that intermediate levels of cytotoxic killing of infected cells can be inferior to both strong and weak or absent immune responses. We further show that the deleterious effects of the CTL response are made worse by a slow immune response. Bystander effects in which uninfected cells are thought to be eliminated by non-specific CTL activation lead to small or negligible reductions in uninfected CD4+ cells. Latently infected cells containing pro-viral DNA and which become activated at a constant rate ensure that the immune response is more effective for a larger range of CTL activities and reduces T-cell associated pathology.

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Year:  1999        PMID: 10380683      PMCID: PMC1689939          DOI: 10.1098/rspb.1999.0745

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  20 in total

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4.  Programmed cell death in AIDS-related HIV and SIV infections.

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5.  Programmed death of T cells in HIV-1 infection.

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9.  CD8+ T cells inhibit HIV replication in naturally infected CD4+ T cells. Evidence for a soluble inhibitor.

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  15 in total

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7.  Intra-host competition between nef-defective escape mutants and wild-type human immunodeficiency virus type 1.

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Journal:  Proc Biol Sci       Date:  2000-01-22       Impact factor: 5.349

8.  The majority of CD4+ T-cell depletion during acute simian-human immunodeficiency virus SHIV89.6P infection occurs in uninfected cells.

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9.  Predicting the impact of CD8+ T cell polyfunctionality on HIV disease progression.

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10.  Quantifying the treatment efficacy of reverse transcriptase inhibitors: new analyses of clinical data based on within-host modeling.

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