Our goal is to determine if a change in therapy to one containing Kaletra can improve the immune response in patients who have previously been immune partial responders or non-responders. We also are interested in knowing if this agent improves immune response by affecting cluster of differentiation 4 (CD4) + T cell death (apoptosis) or by further inhibiting (preventing) ongoing, low-level, viral replication to levels below detection by current viral load measurements. This will help us understand why immune responses to effective antiretroviral therapy are so different and help determine some possible guidelines for managing patients with poor immune responses. Hypothesis: Patients with poor immune responses to HAART who receive Kaletra in place of their current PI or Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs) while continuing their current 2 NRTI backbone will have improved immune response to therapy compared to patients who continue their current regimen.
To our knowledge our study is the first study showing persistent apoptosis in a subgroup of patients with complete viral suppression in association with poor immune recovery. Immune alterations independent of active viral replication may be responsible. Recent data suggests that immune responses to antiretroviral therapy depend on residual or restored thymic function. Improved CD4+ counts in patients despite virologic treatment failure are associated with greater thymic function, while poor T cell responses despite suppression of HIV are seen with decreased thymic function. Discordant immune responses may also be due to differential effects of particular antiretroviral agents on T cell apoptosis independent of viral suppression. For example, protease inhibitors have been shown to decrease rates of apoptosis of uninfected T cells. Viral replication is never completely suppressed with HAART, even when patients have undetectable plasma HIV RNA. Therefore, varying degrees of low level viral replication or replication in certain cellular compartments may continue to drive T cell apoptosis. Finally, our data suggests that ex vivo rates of Peripheral blood mononuclear cell (PBMC) apoptosis could potentially be used predict immune recovery or identify subgroups of patients who may benefit most from changes in HAART or adjunctive immunomodulatory therapies. At this time, although there are excellent guidelines for how to evaluate and change therapy for patients with virologic failure, there are no recommendation and little data on approaches or strategies to change therapy for patients with poor immune responses. Kaletra (lopinavir/ritonavir) may be of benefit to patients with poor immune responses to HAART despite viral suppression. Kaletra may have greater potency and better suppression of viral replication that is below the level of detection by plasma polymerase chain reaction (PCR) for HIV-1 RNA. Kaletra also has an excellent pharmacokinetic profile which may result in superior inhibition of T cell apoptosis in vivo.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
SINGLE
Enrollment
20
University of Illinois at Chicago
Chicago, Illinois, United States
Immune Reconstitution [3 Months]
Immune reconstitution is defined as the absolute CD4+ lymphocyte count after 3 months of therapy. Absolute CD4+ T cell count, our measure of immune recovery, was assessed in the clinical laboratory using fluorescent labeled monoclonal antibodies to the CD4 on lymphocytes. This is the main target cell for HIV infection. The absolute CD4+ T cell count is also the only clinically validated surrogate marker of immune dysfunction in HIV. CD4+ count is also our best predictor of morbidity and mortality outcomes.
Time frame: 3 months
Immune Reconstitution [6 Months]
Immune reconstitution is defined as the absolute CD4+ lymphocyte count after 6 months of therapy. Absolute CD4+ T cell count, our measure of immune recovery, was assessed in the clinical laboratory using fluorescent labeled monoclonal antibodies to the CD4 on lymphocytes. This is the main target cell for HIV infection. The absolute CD4+ T cell count is also the only clinically validated surrogate marker of immune dysfunction in HIV. CD4+ count is also our best predictor of morbidity and mortality outcomes.
Time frame: 6 months
Rates of ex Vivo T Cell Apoptosis: CD4+ Memory Cell Population [3 Months]
Ex vivo T cell apoptosis can be assessed many different ways. The use of propidium iodide staining to determine the proportion of isolated cells that have undergone apoptosis after ex vivo incubation is a standard method that has been used by many investigators. Apoptotic cells intercalate less PI into their DNA, and on flow cytometry, this cell population is identified by a decrease in mean fluorescence (shift to the left). We have experience with this assay, and we have published on the use of method for determining rates of ex vivo apoptosis for different immune effector cells.
Time frame: 3 months
Rates of ex Vivo T Cell Apoptosis: CD4+ naïve Cell Population [3 Months]
Ex vivo T cell apoptosis can be assessed many different ways. The use of propidium iodide staining to determine the proportion of isolated cells that have undergone apoptosis after ex vivo incubation is a standard method that has been used by many investigators. Apoptotic cells intercalate less PI into their DNA, and on flow cytometry, this cell population is identified by a decrease in mean fluorescence (shift to the left). We have experience with this assay, and we have published on the use of method for determining rates of ex vivo apoptosis for different immune effector cells.
Time frame: 3 months
Rates of ex Vivo T Cell Apoptosis: CD4+ Memory Cell Population [6 Months]
Time frame: 6 months
Rates of ex Vivo T Cell Apoptosis: CD4+ naïve Cell Population [6 Months]
Time frame: 6 months
Rates of ex Vivo T Cell Apoptosis: CD8+ Cell Population [3 Months]
Time frame: 3 months
Rates of ex Vivo T Cell Apoptosis: CD8+ Cell Population [6 Months]
Time frame: 6 months
Clinical HIV-related Events
Number of participants experiencing clinical HIV-related events as defined by category A, category B, and Appendix B in the "1993 Revised Classification System for HIV Infection and Expanded Surveillance Case Definition for AIDS Among Adolescents and Adults" (http://www.cdc.gov/mmwr/preview/mmwrhtml/00018871.htm).
Time frame: 6 months
Rates of Virologic Failure
Virologic failure defined as HIV RNA \> 2,000 copies/mL
Time frame: 6 months
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