2001
DOI: 10.1097/00002030-200106150-00001
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HIV dynamics and T-cell immunity after three structured treatment interruptions in chronic HIV-1 infection

Abstract: The increase in the control of viral replication, and positive effects of STI on immune responses in this population should encourage the further development of HIV-specific immune-based therapeutic strategies.

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Cited by 137 publications
(104 citation statements)
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“…After the cessation of therapy, HIV p24-specific CD4 ϩ T cell frequencies were not maintained in the group with the higher pretreatment VL. Such transient increases in HIV-specific CD4 ϩ T cell responses have also been described in other studies of STI (21,24,34,35). This result is in contrast to the patient group with lower pretreatment VL who maintained, and even increased, levels of HIV p24-specific CD4 ϩ T cells after the cessation of therapy.…”
Section: Lack Of Correlation Between Plateau Vl and Magnitude Of Hiv-supporting
confidence: 71%
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“…After the cessation of therapy, HIV p24-specific CD4 ϩ T cell frequencies were not maintained in the group with the higher pretreatment VL. Such transient increases in HIV-specific CD4 ϩ T cell responses have also been described in other studies of STI (21,24,34,35). This result is in contrast to the patient group with lower pretreatment VL who maintained, and even increased, levels of HIV p24-specific CD4 ϩ T cells after the cessation of therapy.…”
Section: Lack Of Correlation Between Plateau Vl and Magnitude Of Hiv-supporting
confidence: 71%
“…In a few studies, STI has been shown to have an overall effect on viral doubling times; with increasing rounds of treatment interruption showing an increase in viral doubling times (21,22). In a substudy of SSITT, including 13 patients with frequent sampling, such an increase in doubling times was also seen (29).…”
Section: Resultsmentioning
confidence: 98%
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“…Using patient data from the AutoVac study [19], we have used Bayesian estimation techniques (specifically, the MCMC method) to identify parameters from this model. The AutoVac study took viral load measurements at 1-day intervals during a series of on-off treatment switches for a number of patients.…”
Section: B Parameter Estimationmentioning
confidence: 99%
“…A method which is highly sensitive to model inaccuracies would be useless in practice. We have used a distribution of model parameters generated using Bayesian estimation techniques from patient data from an interruption trial reported in [18], [19]. This distribution was used for Monte-Carlo analysis of the performance of our algorithm using nominal parameter values.…”
Section: Introductionmentioning
confidence: 99%