A Research Study to See if a Change in Therapy for HIV Infection Can Improve the Immune Response to Treatment

May 23, 2022 updated by: University of Chicago

Randomized Trial of a Switch to a Kaletra + Current Dual Nucleoside Reverse Transcriptase Inhibitor (NRTI) Backbone Versus Continuation of the Current Regimen in Patients With Poor Immune Responses to Highly Active Antiretroviral Therapy (HAART) in Patients With Complete Viral Suppression: A Pilot Study

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.

Study Overview

Detailed Description

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

Enrollment (Actual)

20

Phase

  • Phase 4

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Illinois
      • Chicago, Illinois, United States, 60607
        • University of Illinois at Chicago

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 75 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • HIV Infection documented CD4+ count within the last 30 days (or drawn with screening labs)
  • Currently on a stable 3-drug HAART regimen including 2 NRTIs for > 6 month viral load (VL) < 50/mm3 for > 6 months, last within the last 30 days (or drawn with screening labs)
  • Partial immune responder or immune non-responder
  • Age > 18 years
  • Labs (drawn at screening)
  • Alanine transaminase (ALT) < 5 X the upper limit of normal (ULN)
  • Total bili < 2 X ULN
  • Creatinine < 2.0 mg/dL

Exclusion Criteria:

  • Prior therapy with Kaletra
  • Known hypersensitivity to Ritonavir
  • Therapy the drugs with potential serious drug interactions: flecainide, propafenone, astemizole, terfenadine, rifampin, dihydroergotamine, ergonovine, ergotamine, methylergonovine, cisapride, pimozide, lovastatin, simvastatin, midazolam, triazolam, and St. John's wart.
  • Pregnancy; breast feeding
  • Current malignancy requiring CT
  • Use of systemic corticosteroids, immunosuppressive, or cytotoxic agents within the last 45 days
  • Fever and/or evidence of an active infectious complication
  • Currently in another interventional clinical trial
  • Receiving Interleukin-2 (IL-2) or any other cytokine or growth factor
  • Enrollment in another interventional clinical trial

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Kaletra + Current Dual NRTI Backbone
Patients in this arm received Kaletra in addition to their current Dual NRTI Backbone.
Other Names:
  • Lopinavir/ritonavir (LPV/r) + Current Dual NRTI Backbone
Active Comparator: Current Regimen
Patients in this study arm continued their current regimen.
Other Names:
  • Current HIV treatment regimen

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Immune Reconstitution [3 Months]
Time Frame: 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.
3 months
Immune Reconstitution [6 Months]
Time Frame: 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.
6 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Rates of ex Vivo T Cell Apoptosis: CD4+ Memory Cell Population [3 Months]
Time Frame: 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.
3 months
Rates of ex Vivo T Cell Apoptosis: CD4+ naïve Cell Population [3 Months]
Time Frame: 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.
3 months
Rates of ex Vivo T Cell Apoptosis: CD4+ Memory Cell Population [6 Months]
Time Frame: 6 months
6 months
Rates of ex Vivo T Cell Apoptosis: CD4+ naïve Cell Population [6 Months]
Time Frame: 6 months
6 months
Rates of ex Vivo T Cell Apoptosis: CD8+ Cell Population [3 Months]
Time Frame: 3 months
3 months
Rates of ex Vivo T Cell Apoptosis: CD8+ Cell Population [6 Months]
Time Frame: 6 months
6 months
Clinical HIV-related Events
Time Frame: 6 months
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).
6 months
Rates of Virologic Failure
Time Frame: 6 months
Virologic failure defined as HIV RNA > 2,000 copies/mL
6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: David Pitrak, MD, University of Chicago

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

April 1, 2004

Primary Completion (Actual)

June 1, 2009

Study Completion (Actual)

December 1, 2009

Study Registration Dates

First Submitted

September 1, 2005

First Submitted That Met QC Criteria

September 2, 2005

First Posted (Estimate)

September 5, 2005

Study Record Updates

Last Update Posted (Actual)

June 15, 2022

Last Update Submitted That Met QC Criteria

May 23, 2022

Last Verified

May 1, 2022

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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