Nadir CD4+ T Cell Count Predicts Response to Subcutaneous Recombinant Interleukin-2

MiR-17-92 cluster: an apoptosis inducer or proliferation enhancer

Study of the non-coding RNA roles in the regulation of adaptive immune responses through T cells could be the basis of novel therapeutic applications. MicroRNAs (miRNAs) are a class of short non-coding RNAs that control the cell's functions and destination. To investigate the role of miRNAs in T cell activation, herein the expressions of miR-17-92 cluster and its paralogs were studied in naïve CD4(+)T cells that were activated by anti-CD2, -CD3, -CD28 microbeads and induced with or without IL-2. Proliferation and apoptosis rate of the cultured cells were determined by BrdU incorporation assay (ELISA) and propidium iodide staining, respectively. In continuation the expressions of eight miRNAs of the mentioned clusters were analyzed quantitatively. In addition their potential targets were predicted using multiple algorithms; as a confirmation, the transcription of PIK3R3 (a putative target of modulated miRNAs) was evaluated. Stimulation index (SI) of activated cells was decreased on day 6; whereas, the IL-2 induced cells showed increase in SI in the assay time. Evaluation of eight members of the aforementioned cluster showed upregulation of miR-92a-2* (~15 times) in IL-2 un-induced (activated) cells relative to the IL-2 induced cells. In silico investigations revealed that the suggested miRNAs targeted genes that were involved in cell proliferation, survival, and apoptosis. Transcriptional analysis of PIK3R3 illustrated decrease in activated cells relative to IL-2 induced cells. According to our findings, it seems that multiple members of miR-17-92 families in activated CD4(+)T cells inhibited negative regulators of IL-2 such as DUSP, PTPN, and SOCS families after IL-2 induction. According to our findings, it seems that multiple genes of cell proliferation-related families such as MAPK, E2F, AKT, STAT, and JAK as well as PIK3R3 are inhibited by miR-17-92 cluster in activated cells. As FASL is a putative target of over-expressed miRNAs in activated cell, antigen-induced cell death (AICD) might be occurred in FASL-independent manner. Altogether this study suggested that clonal expansion through IL-2 signaling pathway does not depend on the members of miR-17-92 family; while, it appears that AICD in activated CD4(+)T cells without IL-2 induction is affected by these miRNA clusters.

[Enhancing immune restoration in human immunodeficiency virus infection]

The primary objective of antiretroviral therapy has recently evolved from a virologic endpoint towards the achievement of normal CD4T cell count (greater than 500/mm(3)) to avoid progression to AIDS. This shift in the primary objective is supported by many clinical and epidemiological studies. Recent data have shown that HIV-infected adults with a CD4T cell count greater than 500cells/mm(3) on long-term combination antiretroviral therapy reach same mortality rates as the general population. However, less than 50% of patients receiving long-term suppressive antiretroviral combination reach such a CD4T cell level. New antiretroviral strategies to improve immune reconstitution, such as specific or non-specific immune-based therapy on one hand and the use of novel antiretroviral drugs from new classes on the other hand are currently under investigation. Here we review several current strategies that may improve immune reconstitution, keeping in mind that the best way to reach normal CD4T cell count is an early treatment initiation.

Immunological dysfunction in HIV-1-infected individuals caused by impairment of adenosine deaminase-induced costimulation of T-cell activation

The cell surface association between CD26 and adenosine deaminase (ADA) has a costimulatory function during T-cell activation. Several studies have revealed correlations among CD4(+) CD26(+) T-cell depletion, increased serum levels of ADA, and the evolution of human immunodeficiency virus (HIV) infection, implicating CD26 and ADA in HIV disease progression. In this context, we aimed to determine whether ADA costimulation could be altered during HIV infection. ADA costimulation was investigated in cells from HIV-infected patients (n = 36) in terms of proliferation and cytokine secretion. An effect of ADA on T-cell proliferation was found in HIV-1-infected patients and correlated positively with the CD4(+) percentage and the nadir CD4 count and negatively with viral load, demonstrating that the response depends on the immunological status of the patient. The robust ADA-induced increase in cytokine production [interferon (IFN)-gamma, interleukin (IL)-6 and IL-10] was markedly reduced in T cells from HIV-1-infected subjects. To eliminate some of the variables associated with immunological defects in HIV-1-infected patients, anti-CD3 plus ADA assays with T cells from healthy volunteers were performed in the presence of recombinant glycoprotein 120 (gp120). It was found that gp120 was responsible for the impairment of the ADA-CD26 interaction and consequently of the ADA-induced effect on both costimulation and cytokine production. The gp120-mediated disruption of the CD26-ADA interaction is a novel mechanism that might explain, at least in part, the altered immunological features observed in HIV-1-infected patients and may have significant relevance in AIDS pathogenesis.

Benefits and burdens of participation in a longitudinal clinical trial

SYSTEMATIC DATA ON THE IMPACT THAT longitudinal clinical trials have on patient participants are needed to ensure that all the risks and potential benefits of participating in clinical research are properly evaluated and disclosed. Recognizing the lack of systematic data on this topic, we surveyed 582 individuals from Argentina, Brazil, and Thailand who were participating in the ESPRIT study, a Phase III randomized trial of interleukin-2 in HIV disease. Respondents were asked about the benefits and burdens of participating in ESPRIT using a self-administered survey. We found that 91% of respondents in the IL-2 treatment arm and 79% in the no IL-2 control arm reported medical benefits from their participation. In addition, 68% in the IL-2 treatment arm and 60% of the no IL-2 controls reported non-medical benefits. Thirteen percent of the IL-2 respondents and 5% of the non-IL2 respondents reported problems with their jobs due to study participation. Given that respondents, including those in the control arm, reported medical and non-medical benefits and burdens from their research participation, investigators and review committees should be aware of and respond to the potential for research participants to experience benefits and burdens that are unrelated to the intervention being tested.

Immunological success is predicted by enfuvirtide but not interleukin-2 therapy in immunodepressed patients

OBJECTIVES

To evaluate the efficacy of adding interleukin-2 (IL-2) to an optimized background treatment in HIV-1 patients with advanced failure.

DESIGN

Randomized, open-label, multicentre controlled trial.

METHODS

Patients with CD4 T-cell count of less than 200 cells/microl, plasma HIV-1 RNA of more than 10 000 copies/ml and a genotypic sensitivity score showing two or less active drugs were randomized to either eight IL-2 cycles with optimized background treatment or optimized background treatment alone. Optimization was made according to genotypic sensitivity score. Enfuvirtide was added in enfuvirtide-naive patients. Evaluation was performed at week 52 on the proportions of patients with CD4 cell count of at least 200 cells/microl (primary outcome), of patients with a CD4 cell count increase of at least 50 cells/microl from week 0, on plasma HIV-1 RNA and HIV-related events.

RESULTS

Fifty-six patients were analysed. Median age was 43 years, 61% were at Center for Disease Control and Prevention stage C, 43% had a genotypic sensitivity score of 0, median baseline CD4 cell count and plasma HIV-1 RNA values were 64 cells/microl and 4.9 log10 copies/ml, respectively. Treatment could be optimized in 23 patients. At week 52, in the IL-2 and control groups, the proportion of patients with CD4 cell count of at least 200 cells/microl (14 and 18%) or a CD4 cell count increase of at least 50 cells/microl (25 and 32%) and median plasma HIV-1 RNA were not significantly different. In multivariate analysis, optimization with enfuvirtide and baseline CD4 cell count were statistically associated with CD4 cell count of at least 200 cells/microl at week 52 (P = 0.003 and P = 0.01). Optimization with enfuvirtide was the only factor associated with a CD4 cell count gain of at least 50 cells/microl (P < 0.001). There was no difference in the rate of AIDS events between groups.

CONCLUSION

IL-2 failed to increase CD4 cell count in immunocompromised patients with multiple therapeutic failures. Enfuvirtide use was highly associated with success.

Inferiority of IL-2 alone versus IL-2 with HAART in maintaining CD4 T cell counts during HAART interruption: a randomized controlled trial

OBJECTIVE

To evaluate whether interleukin (IL)-2 in patients with chronic HIV infection can maintain CD4 T cell counts during 6 months of HAART interruption.

DESIGN

Prospective, randomized, controlled, open-label phase II noninferiority trial comparing IL-2 with HAART interruption or continuous HAART.

METHODS

Forty-one IL-2-experienced (three or more prior cycles) HIV-1-infected adults with CD4 cell count at least 500 cells/microl were randomized in the ratio 2: 1 to interrupted (I = 27) or continuous (C = 14) HAART for 6 months following an initial IL-2 cycle. Subsequent IL-2 cycles were triggered by CD4 T cell counts less than 90% of baseline. Immune, metabolic, and quality of life indices were compared (Mann-Whitney and Fisher's exact tests), defining noninferiority as a percentage difference (C- I) in treatment success (CD4 T cells > or =90% of baseline at 6 months) with a 95% confidence interval (CI) lower limit greater than -20%.

RESULTS

Demographic and immune parameters were similar between the groups at baseline. Median CD4 T cell count, HIV viral load, and treatment success differed significantly at 6 months (I: 866 cells/microl, 39,389 copies/ml, 48.1%; C: 1246 cells/microl, <50 copies/ml, 92.3%; P < or = 0.001). Group I was inferior to C (% difference = -44.2%; 95% CI: -64.2%, -11.2%; P = 0.013). Minor statistically significant differences in HgbA1c and energy level occurred at 6 months (I > C). Following HAART interruption, single cases of acute retroviral syndrome, secondary syphilis, non-Hodgkin's lymphoma, and Kaposi's sarcoma recurrence were observed.

CONCLUSION

IL-2 alone was inferior to IL-2 with HAART in maintaining baseline CD4 T cell counts. HAART interruption had a small impact on metabolic parameters and quality of life.

CD4 T cell survival after intermittent interleukin-2 therapy is predictive of an increase in the CD4 T cell count of HIV-infected patients

Administration of interleukin (IL)-2 to human immunodeficiency virus (HIV)-infected patients leads to significant increases in CD4 T cell counts. We previously have shown that IL-2 induces increased proliferation and survival of CD4 T cells. Deuterium labeling studies were undertaken to study the relationship between IL-2-induced increases in the CD4 T cell count and the effects of IL-2 on cell proliferation and survival. A strong inverse correlation was noted between the rate of decay of the label in CD4 cells and increases in CD4 cell counts (R =or- 0.67; P<.001). This correlation was not seen with the level of proliferating cells. Although the CD4 cell count at baseline and the number of CD4 cells expressing CD25 were also predictive of increases in the CD4 cell count, the rate of decay remained the most statistically significant predictor in multivariate regression models. Thus, an increase in the survival of CD4 T cells appears to be the critical mechanism leading to sustained increases in the CD4 cell counts of HIV-infected patients receiving intermittent IL-2 therapy.

Race and ethnicity impact on the maximum proliferative response in peripheral blood lymphocytes from HIV-seropositive individuals

The effects of race and ethnicity on immunological function have not been fully studied in patients infected with HIV-1. To study such differences, 54 patients on virally suppressive highly active antiretroviral therapy (HAART) with CD4 counts >200 cells/microL had their peripheral blood lymphocytes (PBL) evaluated for response to recall antigen. Significant differences were found in the maximum responses for PBL from black individuals compared with those from white individuals, and the differences were highly significant when responses for African-Americans were compared with those for white-Hispanics. These findings support work delineating ethnicity and race as significant variables to be taken into account when looking at vaccination strategies and responsiveness to therapeutic pharmacological interventions.

Predictors of CD4 count change over 8 months of follow up in HIV-1-infected patients with a CD4 count>or=300 cells/microL who were assigned to 7.5 MIU interleukin-2

BACKGROUND

ESPRIT is a randomized trial comparing the clinical impact of interleukin (IL)-2 plus antiretrovirals vs antiretrovirals alone. Identification of factors that influence the relationship between IL-2 and CD4 count recovery will enable better personalization of treatment with IL-2 in HIV-1-positive individuals. The IL-2 induction phase consists of three dosing cycles over 6-8 months (7.5 MIU twice a day, for 5 days every 8 weeks).

METHODS

We included patients initiating IL-2 at the 7.5 MIU dose with an 8-month CD4 count, measured at least 30 days after their last cycle. We identified baseline predictors of CD4 count changes over 8 months using linear regression.

RESULTS

Of 2090 patients assigned IL-2, 1673 (80%) were included in the analysis. The median (interquartile range) baseline CD4 count was 461 (370, 587) cells/microL with a median increase of 233 (90, 411) cells/microL at month 8. After adjustments, significant predictors of CD4 count change included CD4 nadir (29.8 cells/microL greater increase per 100 cells/microL higher; P<0.0001), last CD4 count before baseline (mean 36.0 cells/microL greater increase per 100 cells/microL higher; P<0.0001), time from antiretroviral start to baseline (8.3 cells/microL smaller increase per year longer; P=0.001), age (11.7 cells/microL smaller increase per 5 years older; P=0.005) and race (79.7 cells/microL greater increase for black patients vs white patients; P=0.003). A linear relationship existed between total IL-2 dose in the first cycle and CD4 count change (73.1 cells/microL greater increase per 15 MIU higher; P<0.0001).

CONCLUSIONS

Prior nadir and current CD4 counts, age and IL-2 dose are major determinants of CD4 increases induced by with intermittent administration of IL-2 in HIV-1-positive individuals on antiretrovirals. The clinical function of these induced CD4 cells is under study.

Long-term effects of intermittent interleukin-2 therapy in chronic HIV-infected patients (ANRS 048-079 Trials)

OBJECTIVE

Interleukin (IL)-2 therapy leads to significant CD4 cell increases in HIV-infected patients. Since phase III trials are ongoing, studies supporting the long-term feasibility of this strategy are needed.

METHODS

We studied the long-term outcomes of 131 patients treated with IL-2 in two studies initiated either before (ANRS 048) or following (ANRS 079) the advent of HAART.

RESULTS

At the last assessment (median follow-up 3.4 years), these patients experienced a gain of 428 cells/microl and a decrease in plasma HIV RNA to 1.70 log10 copies/ml. In both studies, high CD4 cell counts were maintained with a median of ten 5-day cycles of subcutaneous IL-2. Median time since the last cycle was 2 years. At last assessment, 59% of 048 patients maintained a non-HAART regimen. Detailed analysis at week 170 showed that median CD4 cell counts were 856 (048) and 964 (079) cells/microl. This corresponded to a gain from baseline of 515 (048) and 627 (079) cells/microl. The median viral load decreases from baseline and corresponded to 1.70 (048) and 1.88 (079) log10 copies/ml. Comparisons across the studies showed that CD4 gains and viral load changes were similar whether HAART or non-HAART was used. The frequency of cycling, but not CD4 cell counts, viral loads or antiviral regimen at baseline, was predictive of long-term CD4 gain (P = 0.03).

CONCLUSION

Altogether, these observations support IL-2 as a long-term therapeutic strategy in HIV infection.

CD8 apoptosis may be a predictor of T cell number normalization after immune reconstitution in HIV

Background

As part of the Houston Vanguard study, a subset of 10 patients randomized to receive IL-2 therapy were compared to 4 patients randomized to not receive IL-2, for markers of T cell activation and death during the first three cycles of IL-2. All patients were treated with combination antiretroviral therapy (ART) and were virally suppressed. The purpose of the study was to examine the role of CD8+ T cell death in responses to ART and IL-2 therapy.

Methods

Lymphocytes were examined at Day 0, 5 and 30 days during three cycles of IL-2 therapy. CD25, CD38, HLA-DR expression and annexin (cell death) were examined on CD4 and CD8 subpopulations. Follow up studies examined CD4 levels and CD4:CD8 reconstitution after 6 years using both univariant and multivariate analyses.

Results

Human lymphocytes responded to IL-2 therapy by upregulation of CD25 on CD4⁺ T cells, leading to an increase in CD4 cell counts. CD8⁺ T cells did not increase CD25 expression, but upregulated activation antigens (CD38 and DR) and had increased death. At baseline, 7 of the 14 patients had high CD8⁺ T cell apoptosis (mean 17.0% ± 6.0). We did an exploratory analysis of immune status after six years, and found that baseline CD8⁺ T cell apoptosis was correlated with CD4 cell count gain beginning two years post enrollment. Patients with low levels of CD8⁺ T cell apoptosis at baseline (mean 2.2% ± 2.1) had significantly higher CD4 cell counts and more normalized CD4:CD8 ratios than patients with high CD8⁺ T cell apoptosis (mean CD4 cell counts 1,209 ± 164 vs 754 ± 320 cells/mm³; CD4:CD8 ratios 1.55 vs. 0.70, respectively).

Conclusion

We postulate that CD8⁺ T cell apoptosis may reflect inherent activation status, which continues in some patients even though viral replication is suppressed which influences the ability of CD4⁺ T cells to rebound. Levels of CD8⁺ T cell apoptosis may therefore be an independent predictor of immune status, which should be shown in a prospective study.

A pilot study evaluating time to CD4 T-cell count <350 cells/mm(3) after treatment interruption following antiretroviral therapy +/- interleukin 2: results of ACTG A5102

BACKGROUND

Although an intermittent antiviral treatment (ART) strategy may limit long-term toxicity and cost, there is concern about the risk for virologic failure, selection of drug resistance mutations, and disease progression. By boosting CD4 T-cell counts, interleukin 2 (IL-2) could safely prolong the duration of treatment interruption (TI) in a CD4-driven strategy.

METHODS

The AIDS Clinical Trials Group (ACTG) study A5102 evaluated 3 cycles of IL-2 before TI, on clinical and immunologic outcomes, using a CD4 T-cell count of <350 cells/mm as the threshold for restarting ART. Forty-seven HIV-infected subjects on potent ART with CD4 T-cell counts of > or =500 cells/mm or more and HIV RNA levels of less than 200 copies/mL were randomized to arm A (ART + three 5-day cycles of IL-2 at 4.5 million U, Sc, BID every 8 weeks, n = 23) or arm B (ART alone, n = 24) for 18 weeks (step 1). At the end of step 1, subjects with a CD4 T-cell count of > or =500 cells/mm or more stopped ART until a CD4 count of <350 cells/mm (step 2). CD4 T-cell count, time to return of viremia, and the emergence of drug resistance mutations after TI were compared between study arms.

RESULTS

IL-2 recipients maintained higher CD4 counts during TI for 48 weeks with a waning of the CD4 effect by 72 weeks. A sustained CD4 T-cell count of more than 350 cells/mm and more durable TI were associated with a higher nadir CD4 T-cell count before ART and higher naive CD4 T-cell count at entry. After TI, a higher viral set point and drug resistance mutations at virologic rebound were associated with a shorter time to CD4 T-cell count of less than 350 cell/mm. There were no differences in the magnitude of virologic rebound (at week 8 of step 2, median log10 HIV RNA level was 4.23 for arm A and 4.21 for arm B) or the steady-state HIV-1 RNA level after week 8.

CONCLUSIONS

IL-2 before TI did not prolong time to CD4 of less than 350 cells/mm. A TI strategy utilizing a CD4 T-cell threshold of less than 350 cells/mm for restarting ART appears generally safe with most subjects in both arms remaining off ART for more than 1 year. Implications of our results for TI strategies include the potential advantage of starting ART at higher CD4 T-cell levels while avoiding any drug resistance and evaluating immunomodulators or drugs to reduce T-cell activation and HIV-1 RNA rebound during the TI.

Safety and factors predicting the duration of first and second treatment interruptions guided by CD4+ cell counts in patients with chronic HIV infection

OBJECTIVES

To evaluate the safety of treatment interruption (TI) guided by CD4+ count in HIV-infected patients followed-up prospectively.

METHODS

Patients on HAART with a CD4+ cell count >500 cells/mm3 discontinued therapy with instructions to start therapy again before their CD4+ count dropped below 200 cells/mm3.

RESULTS

We report data on 112 HIV-infected patients. The median follow-up after starting the first TI was 34.7 months (IQR: 23.1-43.8). The median duration of the first TI was 12 months (IQR: 5.2-25). In the multivariate analysis the factor which most strongly correlated with the duration of the first TI was the CD4+ cell count at the end of the TI. Among the 34 patients who had completed a second TI, the duration of the two periods of interruption was similar if the treatment was recommenced at the end of the first TI at a CD4+ count higher than the nadir count.

CONCLUSIONS

The strategy of TI is safe if the criteria for restarting therapy are applied correctly. The factor with the greatest influence on the duration of the first TI is the number of CD4+ cells at the end of the TI.

Immune-based therapies: an adjunct to antiretroviral treatment

Combination antiretroviral therapy potently suppresses HIV replication, but does not eradicate the infection. Drug resistance and long-term toxicities limit its use. The recovery of general immune function is often not complete. Immune-based therapies have the potential to boost HIV-specific immunity and reduce the need for antiretroviral drugs, and to promote general immune competence in situations in which antiretroviral treatment alone is inadequate. Strategies to reduce the immunopathogenic consequences of HIV infection with immunomodulating therapies are conceivable. Ultimately, eradication of the infection will require methods to target the latent memory T-cell reservoir of virus.

Immunological markers after long-term treatment interruption in chronically HIV-1 infected patients with CD4 cell count above 400 x 10(6) cells/l

OBJECTIVE

To analyse immunological markers associated with CD4+ lymphocyte T-cell count (CD4+) evolution during 12-month follow-up after treatment discontinuation.

METHOD

Prospective observational study of chronically HIV-1 infected patients with CD4+ above 400 x 10(6) cells/l.

RESULTS

CD4+ changes took place in two phases: an initial rapid decrease in the first month (-142 x 10(6) cells/l on average), followed by a slow decline (-17 x 10(6) cells/l on average) The second slope of CD4+ decline was not correlated with the first and only baseline plasma HIV RNA was associated with it. The decline in CD4+ during the first month was steeper in patients with higher CD4+ and weaker plasma HIV RNA baseline levels. Moreover, the decline was less pronounced (P < 10(-4)) in patients with CD4+ nadir above 350 x 10(6) cells/l (-65 x 10(6) cells/l per month) in comparison with those below 350 x 10(6) cells/l (-200 x 10(6) cells/l per month). A high number of dendritic cells (DCs) whatever the type was associated with high CD4+ at the time of treatment interruption and its steeper decline over the first month. Moreover, the myeloid DC level was stable whereas the lymphoid DC count, which tended to decrease in association with decrease in CD4+, was negatively correlated with the HIV RNA load slope.

CONCLUSIONS

The results support the use of the CD4+ nadir to predict the CD4+ dynamic after treatment interruption and consideration of the CD4+ count after 1-month of interruption merely reflects the 12-month level of CD4+. Although DCs seem to be associated with the CD4+ dynamic, the benefit of monitoring them has still to be defined.