- Open Access
IL-2 production correlates with effector cell differentiation in HIV-specific CD8+ T cells
© Nomura et al; licensee BioMed Central Ltd. 2006
Received: 24 April 2006
Accepted: 21 July 2006
Published: 21 July 2006
Diminished IL-2 production and lack of effector differentiation have been reported for HIV-specific T cells. In this study, we examined the prevalence of these phenomena using 8-color cytokine flow cytometry, and tested the hypothesis that these two findings were causally related. We analyzed cytokine profiles and memory/effector phenotypes of HIV-specific and CMV-specific T cells using short-term in vitro stimulation with HIV or CMV peptide pools. Nineteen HIV-positive subjects with progressive disease and twenty healthy, HIV-negative subjects were examined.
Among HIV-infected subjects, there were significantly fewer CD8+ IL-2+ T cells responding to HIV compared to CMV, with no significant difference in CD4+ IL-2+ T cells. The majority of CMV-specific T cells in both HIV-negative and HIV-positive subjects appeared to be terminally differentiated effector cells (CD8+ CD27- CD28- CD45RA+ or CD8+ CD27- CD28- CD45RA-). In HIV-positive subjects, the most common phenotype of HIV-specific T cells was intermediate in differentiation (CD8+ CD27+ CD28- CD45RA-). These differences were statistically significant, both as absolute cell frequencies and as percentages. There was a significant correlation between the absolute number of HIV-specific CD8+ IL-2+ T cells and HIV-specific CD8+ CD27- CD28- CD45RA+ terminal effector cells.
IL-2 production from antigen-specific CD8+ T cells correlates with effector cell differentiation of those cells.
The phenotype of CD4+ and CD8+ T cells responding to pathogens such as HIV or CMV is at least partially linked with their functions, which include cytokine production and cytotoxicity. In chronic HIV infection, the functional profile of HIV-specific T cells has been reported to be impaired in a variety of ways, including the ability to produce IL-2 [1–10]. This defect has been reported to apply to CD4+ [1, 2, 4, 5, 9, 11] and CD8+ [3, 6–8, 10] T cells by different investigators.
Other studies have reported differences in the phenotype of HIV-specific CD8+ T cells compared to CMV-specific CD8+ T cells in subjects with chronic HIV infection [12–18]. In particular, a disproportionate number of cells of "intermediate" differentiation can be found among HIV-specific CD8+ T cells [12, 17, 18]. These "intermediate" cells have been variously described as CD27+ CD28-  and CCR7- CD45RA- [17, 18], whereas most CMV-specific CD8+ T cells are terminally differentiated effector cells (CCR7- CD27- CD28- CD45RA+). A similar phenomenon of incomplete differentiation has been described for HIV-specific CD4+ T cells . However, the prevalence of these differentiation "defects" among HIV+ individuals with progressive disease has not been well-defined. Furthermore, the relationship between differentiation state and IL-2 production has not been explored for either CD4+ or CD8+ HIV-specific T cells.
IL-2 is important for the survival and proliferation of activated T cells (reviewed in ). However, it has also been hypothesized to contribute to the differentiation of terminal effector CD8+ T cells in acute hepatitis C infection . We reasoned that it was possible that a similar relationship might exist in chronic HIV infection, such that the independently observed defects in IL-2 production and differentiation of HIV-specific T cells might be associated.
To test this hypothesis, we simultaneously analyzed the cytokine production and phenotype of HIV-specific and CMV-specific T cells from a cohort of HIV-positive subjects with progressive disease, as well as CMV-specific T cells from HIV-negative subjects. We did short-term stimulation of PBMC with mixtures of peptides spanning multiple immunogenic proteins from HIV or CMV, then did a combined analysis for IFNγ and IL-2, as well as for CD27, CD28, and CD45RA. Results for each possible phenotype of cytokine-positive cells were expressed both as a percentage of CD4+ or CD8+ T cells and as an absolute number of cells per ml. Our simultaneous analysis of differentiation and function of HIV-specific and CMV-specific T cells allowed for the ability to see whether changes in differentiation were correlated with changes in function, for either CD4+ and/or CD8+ T cells.
Stability of effector/memory markers in short-term stimulation
Decreased IL-2 production in HIV-specific CD8+ but not CD4+ T cells
Incomplete differentiation in HIV-specific CD4+ and CD8+ T cells
We next analyzed the differentiation profile of HIV-specific and CMV-specific T cells in healthy subjects versus HIV-positive progressors. Several trends were observed.
Analyses of variance
Percent CD4+ or CD8+ T cells
pp65+IE-1 stimulation, HIV- vs HIV+ subjects
pp65+IE-1 vs Gag+Env stimulation, HIV+ subjects
pp65+IE-1 stimulation, HIV- vs HIV+ subjects
pp65+IE-1 vs Gag+Env stimulation, HIV+ subjects
(CD4+ IFNγ+ IL-2+)
(CD8+ IFNγ+ IL-2+)
(CD4+ IFNγ+ IL-2+)
(CD8+ IFNγ+ IL-2+)
The HIV response of HIV-positive progressors (Figure 5A, bottom panel) was different from the CMV responses in that it was dominated by CD8+ IFNγ+ T cells of intermediate differentiation (CD27+ CD28- CD45RA-). This phenotype was rare within the healthy donor CMV response. Also, the HIV responses contained hardly any CD4+ or CD8+ IL-2-producing cells, and only very few CD4+ IFNγ+ cells. These differences in CD4 and CD8 compartments were significant by ANOVA (Table 2), with the most highly significant differences being in the CD8+ IFNγ+ subset (p ≤ 0.00008). These differences were significant even when subjects receiving ART were excluded (Table 2, bottom half).
It should be noted that the distribution of CD8+ T cell phenotypes seen in HIV-responsive cells was not reflected in the overall CD8+ T cell compartment (Figure 5B). The total CD8+ T cell pool was quite heterogeneous, and included a large cohort of effector-like cells (CD27- CD28- CD45RA+ and CD27- CD28- CD45RA-).
Overall, the data of Table 2 confirm that the differences in phenotypic patterns observed in the CMV and HIV responses of HIV-positive progressors were statistically significant. The most significant difference (p ≤ 0.00008) was seen in CD8+ IFNγ+ cells. This was true when data were analyzed as percentages or as absolute counts, and whether or not subjects on ART were included.
Relationship of phenotype to IL-2 production
The above data demonstrate that HIV-specific CD8+ T cells in HIV-positive progressors show two major differences compared to CMV-specific CD8+ T cells: (1) a lower proportion of IL-2-producing cells, and (2) a less differentiated phenotype. We tested two potential hypotheses that might explain the coexistence of these two phenomena.
HIV-specific defects in differentiation and function are correlated
We also looked at the correlation of CD4+ IL-2-producing cells with CD8+ effector cells. These were not as well correlated for either HIV-specific or pooled HIV-specific and CMV-specific responses (p = 0.0743 and p = 0.0410, respectively; data not shown). However, when the frequency of all IFNγ+ IL-2+ T cells (CD4+ and CD8+) were plotted against the frequency of CD8+ terminal effector cells (Figure 7B), the correlation was highly significant, both for the HIV-specific stimulation (p = 0.0006, top) and for pooled HIV-specific and CMV-specific results (p = 0.0034, bottom). This argues strongly for a role of IL-2 in promoting CD8+ effector T cell differentiation.
In this study, we conducted a detailed analysis of the phenotypes and functions of HIV-specific and CMV-specific T cells in subjects with progressive HIV disease, compared to healthy subjects. By using pools of peptides representing multiple HIV and CMV antigens, we were able to analyze a large proportion of the total virus-specific response, rather than analyzing only single epitope responses. By pooling the results from approximately 20 subjects in each group, we reduced bias due to individual differences within groups, which were large. By determining T-cell phenotypes using a comprehensive gating hierarchy, we were able to classify every cell according to one of 32 unique differentiation profiles. This allowed a more standardized and complete approach than could be achieved by comparing only a few markers at a time.
By expressing results as absolute counts of CD4+ or CD8+ T-cells, we accounted for the wide variety of absolute CD4+ T cell counts among our subjects (Table 1). Nevertheless, significant differences between HIV and CMV responses of HIV-positive progressors remained when data were analyzed as percentages of CD4+ or CD8+ T cells (Table 2).
The results of our analysis confirm and extend findings that were previously reported in separate investigations: namely, that HIV-specific CD8+ T cells producing IL-2 are reduced in number and proportion compared to CMV-specific CD8+ T cells producing IL-2 [3, 6–8], and that effector cell differentiation of CD8+ T cells differs between HIV and CMV responses [12–17].
Our observation of reduced CD8+ T cell IL-2 production is consistent with published reports about the lack of proliferative capacity of these cells in progressive HIV disease [6, 15, 22]. However, we did not see a similar loss in IL-2-producing CD4+ T cells specific for HIV as compared to CMV, which has also been previously reported [1, 2, 4, 5, 9]. This could be due to our reporting of these cells on an absolute count basis. But we also observed no significant differences in the ratio of IL-2+/IFNγ+ CD4+ T cells between CMV and HIV responses of HIV-positive progressors. In general, the CD4 responses of this cohort were very low.
The CMV response of healthy subjects showed the highest degree of effector cell differentiation among CD8+ T cells, and these subjects tend to have undetectable CMV viral loads in blood . By contrast, high HIV viral loads were present in all of the HIV-positive subjects (Table 1). Yet, these subjects tended to have fewer CD8+ effector T cells and more cells of intermediate differentiation. Thus, the differentiation of the CD4+ and CD8+ T cell response to HIV can be thought of as defective in HIV-positive progressors, in that it does not reflect viral load, and does not result in the effector cells that are associated with control of CMV viral load in healthy subjects.
We did not observe a significant relationship between HIV viral load and CD4+ or CD8+ T cell differentiation status (data not shown). This is in contrast to studies that showed a relationship between CD4+ T cell differentiation and viral load [2, 4, 24]. However, these studies all involved long-term non-progressors or others who controlled viremia, whereas the cohort in the present study consisted entirely of progressors with viral loads >4800. Thus, it is certainly plausible that T cell differentiation becomes "uncoupled" with viral load at some stage of HIV progression or level of persistent viremia. In fact, our results would argue that this may occur due to a defect in IL-2 production, which itself may be a result of persistently high antigen load [25, 26].
A recent report has suggested that cells of earlier stages in CD8+ differentiation (CD28+) are important for control of CMV . By analogy, HIV-specific CD8+ T cells can also be thought of as defective, since they are predominantly CD27+ CD28- CD45RA-. However, the proportion of all CD8+ CD28+ T cells responding to HIV was not significantly different from that responding to CMV in our study (data not shown). Our data thus do not support a universal role for CD8+ CD28+ T cells in control of chronic viral infection.
One might hypothesize that the altered differentiation of HIV-specific T cells we observed might be related to disease progression as measured by absolute CD4 count. However, there was no significant correlation between CD4 count and CD4+ or CD8+ T cell differentiation status in this study (data not shown). This suggests that altered differentiation of HIV-specific T cells may be an additional marker of disease progression, independent of CD4 count and viral load. In fact, the relationship of viral load, CD4 count, and HIV-specific T cell responses is complex [25, 26], and large prospective studies will be necessary to determine causal relationships between them.
Because our analysis combined phenotypes and function, we were able to ask whether phenotypic and functional defects were quantitatively related. While a clear relationship between phenotype and IL-2 production could be seen in CMV-responsive CD8+ T cells of healthy donors (Figure 6), that relationship was disrupted in HIV responses. These latter displayed a pervasive lack of IL-2 production among CD8+ T cells of all phenotypes. Nevertheless, there was a significant correlation between the number of CD8+ IL-2+ T cells and the number of CD8+ terminal effector T cells (CD27- CD28- CD45RA+) responding to HIV (Figure 7). This is despite the fact that the terminal effector cells are least likely to actually produce IL-2 (Figure 6). In fact, IL-2 production was most correlated with CD28 expression, among the three memory/effector markers used in this study (data not shown), in agreement with previous work demonstrating that CD28 expression is important for IL-2 production . The correlation of terminal effector cell numbers with IL-2-producing cells is thus unexpected.
In this paper, we have confirmed two important defects in cellular immunity to HIV that were previously reported only in separate studies. Furthermore, we have unexpectedly shown that these two defects are quantitatively correlated, suggesting a mechanistic involvement of IL-2 production in the differentiation of CD8+ effector T cells. This has implications for immunotherapy and immunomonitoring of HIV disease, as it suggests that the preservation of HIV-specific CD8+ IL-2 production is likely to be important for maintaining effector T cell-mediated viral control.
Nineteen subjects (called "progressors" in this study) were selected from an ongoing study at the San Francisco General Hospital and San Francisco Veterans Affairs Medical Center (Study of the Consequences of the Protease Inhibitor Era [SCOPE]). Progressors (Table 1) had a decrease in CD4+ T cell counts to less than 500 cells/mm3 during the chronic stage of their infection, and had persistent plasma HIV RNA levels >2000 copies/ml. Current CD4 count, duration of therapy, specific therapies, and self-reported duration of HIV infection were not factors for exclusion from this study. All HIV-positive subjects were also CMV-positive.
Twenty CMV-positive subjects (Table 1) were selected from BD Biosciences' in-house pool of blood donors. All subjects were adults and were asymptomatic and healthy at the time of sample collection.
Informed consent was obtained from subjects, and human experimentation guidelines of the US Department of Health and Human Services and of all involved institutions were followed.
Viral load and absolute cell count determination
Plasma HIV RNA levels were determined by the branched DNA (bDNA) amplification technique (Quantiplex® HIV RNA, version 3.0, Chiron Corporation, Emeryville, CA). CD4 and CD8 counts were obtained using the Multitest assay with a FACSCalibur flow cytometer and Multiset software (BD Biosciences, San Jose, CA).
CD4 and CD8 absolute cell counts were determined using TruCount "Hi" beads and TriTest CD3 FITC/CD4 PE/CD45 PerCP antibodies (BD Biosciences) .
Sample preparation and activation
Individual peptides of 15 amino acid residues, overlapping by 11 amino acids each, were designed to span the sequences of CMV pp65 (138 peptides) and IE-1 (Immediate Early-1; 120 peptides), and HIV p55 Gag (SF2 strain, 127 peptides) and env (MN strain, 204 peptides). Peptide mixes (SynPep, Dublin, CA) were dissolved in DMSO at stock concentrations of 0.7–1.0 mg/ml per peptide. The mixes were used at a final concentration of 1.2–2 μg/ml per peptide .
PBMC were isolated from heparinized whole blood within eight hours of collection, by centrifugation in CPT tubes (BD Vacutainer, Franklin Lakes, NJ). PBMC were washed and resuspended in RPMI with 10% fetal bovine serum (cRPMI) at 5 × 106 – 1 × 107 cells/ml. Five hundred microliters of PBMC in cRPMI were aliquoted into wells of a 24-well deep-well plate (Qiagen, Valencia, CA). CMV pp65+IE-1 or HIV p55 Gag+Env peptide mixes were added to the appropriate wells, plus brefeldin A (BD Biosciences) at a final concentration of 10 μg/ml; an additional well received only brefeldin A as a negative control. The plate was incubated for six hours at 37°C, then held overnight at 18°C.
Sample processing and staining
Cell-surface markers such as CD3, CD4, and CD8 can be stained before or after cell fixation and permeabilization. We stained for these markers before fixation, since this enhanced resolution of positive and negative populations. Although some down-modulation of these markers occurred on activated cells, we were still able to include down-modulated cells within the positive gate.
Details of the cytokine flow cytometry protocol can be found on the Maecker Lab weblog . Briefly, cells were stained for 60 minutes with CD28 PerCP-Cy5.5, CD45RA PE-Cy7, CD27 APC, CD8 APC-Cy7, CD3 Pacific Blue, and CD4 AmCyan (all from BD Biosciences). Samples were treated with BD FACS Lysing Solution followed by BD FACS Permeabilizing Solution 2, washed, then stained with IFNγ FITC and IL-2 PE (BD Biosciences) for 60 minutes. They were then washed and resuspended in BD Stabilizing Fixative (BD Biosciences) and held at 4°C until sample acquisition.
For each donor, 100 μl of PBMC remained unstained, for use when establishing PMT voltage settings. Eight tubes containing BD CompBeads Anti-Mouse Ig,κ and Negative Control Compensation Particles (BD Biosciences) were each stained with one of the eight mAbs listed above. The beads were treated identically to the PBMC samples, except that all stains (including cytokines) were added during the "surface staining" step.
Sample acquisition and analysis
Flow cytometry was performed using an LSRII (BD Biosciences) equipped with blue (488 nm), red (633 nm), and violet (405 nm) lasers. Compensation settings were established using the AutoComp option of FACS DiVa software (BD Biosciences). An average of 2 × 106 CD3+ cells were collected for HIV-negative subject samples, and an average of 4 × 105 CD3+ cells were collected for HIV-positive subject samples.
Data were analyzed with FACS DiVa software. Where appropriate, data were displayed with a transformation that allows for improved visualization of events at the lower end of the log scale (BiExponential analysis). A gating hierarchy was designed as shown in Figure 1. The result of this gating strategy was 32 possible phenotypes of antigen-responsive T cells.
Dead cells were excluded by use of a side scatter gate and by gating on single-stained cells for either CD4 or CD8. Non-viable cells generally bound both of these antibodies non-specifically.
Cytokine production in the absence of stimulation was low, and largely restricted to CD8+ terminally differentiated effector cells (CD27- CD28- CD45RA+ [12, 15, 31–37]; Fig 5A, black bars). As such, backgrounds were not subtracted from the responses shown in the grey bars. Responses ≥ 100 cells/ml were significantly higher than background for all phenotypes except the terminal effector cells mentioned above.
Data were batch-analyzed to ensure uniform gating, and statistics files were uploaded to a database created for this study. This database enabled selection of particular data subsets of interest, which were then downloaded into Microsoft Excel and GraphPad Prism (GraphPad, San Diego, CA) for statistical analysis and graphing. Statistical comparisons between HIV-positive and HIV-negative subjects were performed using a Mann Whitney test. Statistical comparisons between different stimulations of HIV-positive samples were performed using a Wilcoxon signed rank test. Values of p < 0.025 were considered statistically significant, to correct for the two sets of comparisons listed above.
ANOVA (Table 2) were conducted using the Open Source statistics package R . For each of the four cell populations (CD4+ IFNγ+, CD4+ IFNγ+ IL-2+, CD8+ IFNγ+, or CD8+ IFNγ+ IL-2+), a separate model was fit in which the response was the absolute cell count for each subject and the main effect was the eight combinations of the markers CD27, CD28, and CD45RA. Two contrasts were added to test specifically whether or not the average numbers for each phenotype followed the same pattern for HIV-positive CMV versus HIV-negative CMV, and for HIV-positive CMV versus HIV-positive HIV responses. The p-values reported were for the interaction term between each of these contrasts and the main effect for phenotype. A p-value < 0.05 indicates that the two subject groups had significantly different patterns in the numbers of cells of each phenotype.
The authors thank Eugene Veteska for generation of our custom analysis database, and Vernon Maino and John Dunne for helpful discussions and suggestions. We also thank the study subjects for their participation.
This work was supported in part by grants from the NIAID (AI052745, AI055273, AI44595, and AI47062), the UCSF/Gladstone Institute of Virology & Immunology Center for AIDS Research (P30 MH59037), the Center for AIDS Prevention Studies (P30 MH62246), and the General Clinical Research Center at San Francisco General Hospital (5-MO1-RR00083-37). JMM and DN are Elizabeth Glaser Scientists. JMM is a recipient of the Burroughs Wellcome Fund Clinical Scientist Award in Translational Research and of the NIH Director's Pioneer Award, part of the NIH Roadmap for Medical Research, through grant number DPI OD00329.
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