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HIV reservoirs and immune surveillance evasion cause the failure of structured treatment interruptions: a computational study.

ABSTRACT: Continuous antiretroviral therapy is currently the most effective way to treat HIV infection. Unstructured interruptions are quite common due to side effects and toxicity, among others, and cannot be prevented. Several attempts to structure these interruptions failed due to an increased morbidity compared to continuous treatment. The cause of this failure is poorly understood and often attributed to drug resistance. Here we show that structured treatment interruptions would fail regardless of the emergence of drug resistance. Our computational model of the HIV infection dynamics in lymphoid tissue inside lymph nodes, demonstrates that HIV reservoirs and evasion from immune surveillance themselves are sufficient to cause the failure of structured interruptions. We validate our model with data from a clinical trial and show that it is possible to optimize the schedule of interruptions to perform as well as the continuous treatment in the absence of drug resistance. Our methodology enables studying the problem of treatment optimization without having impact on human beings. We anticipate that it is feasible to steer new clinical trials using computational models.

SUBMITTER: Mancini E

PROVIDER: S-EPMC3338637 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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HIV reservoirs and immune surveillance evasion cause the failure of structured treatment interruptions: a computational study.

Mancini Emiliano E Castiglione Filippo F Bernaschi Massimo M de Luca Andrea A Sloot Peter M A PM

PloS one 20120427 4

Continuous antiretroviral therapy is currently the most effective way to treat HIV infection. Unstructured interruptions are quite common due to side effects and toxicity, among others, and cannot be prevented. Several attempts to structure these interruptions failed due to an increased morbidity compared to continuous treatment. The cause of this failure is poorly understood and often attributed to drug resistance. Here we show that structured treatment interruptions would fail regardless of th ...[more]

PMID: 22558348

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Project description:International trials have shown that CD4+ T-cell-guided structured treatment interruptions (STI) of antiretroviral therapy (ART) lead to worse outcomes than continuous treatment. We simulated continuous ART and STI strategies with higher CD4+ T-cell interruption/reintroduction thresholds than those assessed in actual trials.Using a model of HIV, we simulated cohorts of African adults with different baseline CD4+ T-cell counts (< or = 200; 201-350; and 351-500 cells/microl). We varied ART initiation criteria (immediate; CD4+ T-cell count < 350 cells/microl or > or = 350 cells/microl with severe HIV-related disease; and CD4+ T-cell count <200 cells/microl or > or = 200 cells/microl with severe HIV-related disease), and ART interruption/reintroduction thresholds (350/250; 500/350; and 700/500 cells/microl). First-line therapy was non-nucleoside reverse transcriptase inhibitor (NNRTI)-based and second-line therapy was protease inhibitor (PI)-based.STI generally reduced life expectancy compared with continuous ART. Life expectancy increased with earlier ART initiation and higher interruption/reintroduction thresholds. STI reduced life expectancy by 48-69 and 11-30 months compared with continuous ART when interruption/reintroduction thresholds were 350/250 and 500/350 cells/microl, depending on ART initiation criteria. When patients interrupted/reintroduced ART at 700/500 cells/microl, life expectancies ranged from 2 months lower to 1 month higher than continuous ART. STI-related life expectancy increased with decreased risk of virological resistance after ART interruptions.STI with NNRTI-based regimens was almost always less effective than continuous treatment, regardless of interruption/reintroduction thresholds. The risks associated with STI decrease only if patients start ART earlier, interrupt/reintroduce treatment at very high CD4+ T-cell thresholds (700/500 cells/microl) and use first-line medications with higher resistance barriers, such as PIs.

Dataset Information

HIV reservoirs and immune surveillance evasion cause the failure of structured treatment interruptions: a computational study.

Publications

HIV reservoirs and immune surveillance evasion cause the failure of structured treatment interruptions: a computational study.

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