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The Journal of Immunology, 2002, 168: 2247-2254.
Copyright © 2002 by The American Association of Immunologists

HIV Antigens Can Induce TGF-{beta}1-Producing Immunoregulatory CD8+ T Cells1

Mohammed L. Garba*, Christopher D. Pilcher{dagger}, Andrea L. Bingham{ddagger}, Joseph Eron{dagger} and Jeffrey A. Frelinger2,*

Departments of * Microbiology and Immunology, {dagger} Medicine, and {ddagger} Pharmacy, University of North Carolina, Chapel Hill NC 27599


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
HIV-infected individuals may progressively lose both HIV-specific and unrelated CTL responses despite the high number of circulating CD8+ T cells. In this study, we report that ~25% of HIV+ donors produced TGF-{beta}1 in response to stimulation with HIV proteins or peptides. The production of TGF-{beta}1 was sufficient to significantly reduce the IFN-{gamma} response of CD8+ cells to both HIV and vaccinia virus proteins. Ab to TGF-{beta} reversed the suppression. We found the source of the TGF-{beta}1 to be predominantly CD8+ cells. Different peptide pools stimulated TGF-{beta}1 and IFN-{gamma} in the same individual. The TGF-{beta}1 secreting cells have distinct peptide specificity from the IFN-{gamma} producing cells. This represents an important mechanism by which an HIV-specific response can nonspecifically suppress both HIV-specific and unrelated immune responses.


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Human immunodeficiency virus-specific CD8+ CTL responses are highly variable among HIV-infected individuals. The strength and breadth of such responses are important in the control of HIV replication and may predict clinical disease progression in untreated individuals (1, 2, 3, 4, 5, 6, 7, 8). The mechanisms underlying this variability are unclear. Individuals may fail to generate HIV-specific CTL during primary HIV infection and CTL that are generated may be variably effective (8, 9). HIV may evade CTL through a number of mechanisms including generation of escape mutants, deletion or dysregulation of CD4+ Th cells, and dendritic cell dysfunction (10, 11). Some acquired CTL dysfunction may be mediated by defects in expression of perforin or granzyme B (12), chemokine defects (13) or Abs (14).

To measure the variability of HIV-specific CTL activity among HIV-infected individuals, we enumerated CD8+ responses using the expression of IFN-{gamma} (15, 16). Flow cytometric methods of measuring intracellular cytokines provide us with information on the phenotype as well as the proportion of the cells producing a particular cytokine (13, 17, 18, 19). Recent and past studies have shown that most CTL produce IFN-{gamma} in both mice and humans (13, 20, 21). HIV-specific epitopes have also been mapped by measuring IFN-{gamma} release (22). In our lab, we found a strong correlation (r2 = 0.9968) of HIV-specific CTL lysis with IFN-{gamma} responses as detected by flow cytometry (M. L. Garba and J. A. Frelinger, unpublished observations).

HIV infection leads to a variety of disturbances in cytokine expression (23, 24). TGF-{beta} is an anti-inflammatory cytokine. TGF-{beta} is a multigene family composed of five described members. The unique inhibitory effects of TGF-{beta} are mostly mediated by the TGF-{beta}1 (25). TGF-{beta} has been reported to be up-regulated by tat in HIV-infected cells (26, 27). This enhanced TGF-{beta} expression has been postulated to lead to suppression of both B and T lymphocyte function including inhibition of other cytokines such as IFN-{alpha} and -{gamma} (28, 29). In this paper, we present evidence that HIV Ags can induce in vitro TGF-{beta}1 secretion by CD8+ T cells that is able to inhibit IFN-{gamma} responses to HIV and unrelated Ag.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Patient selection

Forty unselected HIV+ patients and 20 low-risk donors were recruited at the University of North Carolina (Chapel Hill, NC) using a protocol approved by the University of North Carolina Institutional Review Board. Blood samples were collected from the donors after obtaining their informed consent. The only criteria for inclusion was HIV infection. Patient characteristics are summarized in Table IGo . All but one of the patients were expected to have been previously exposed to vaccinia due to small pox vaccination (because of their ages).


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Table I. Patient characteristics1

 
Blood processing

PBMCs were isolated from donor blood using Ficoll-Paque. An aliquot was then transformed using EBV and the remainder was stored in liquid nitrogen for future use.

Viruses

Either control vaccinia-SC11 (obtained from J. Bennink, National Institute of Allergy and Infectious Diseases) or vaccinia-GPE3 (VV-ABT 408-6-1, containing clade B HIV-1 IIIB gag, pol, and env; Therion Biologics, Cambridge, MA) was used. The two viruses were propagated as previously described (30).

Peptides

HIV peptide sets (20 mer overlapping by 10) representing the entire length of the env, gag, and pol regions (HIV-1 MN env, HIV-1 HXB2 gag, and HIV-1 HXB2 pol) were obtained from the AIDS Research and Reference Reagent Program of the National Institutes of Health, which can be accessed online (http://www.aidsreagent.org/ecommerce/default.cfm?action = catList&CatID = 46628). Pools of ~50 peptides (2 env, 1 gag, and 2 pol pools, respectively; final total peptide concentration of 1 mg/ml) were made. Preliminary experiments showed that this was sufficient to induce IFN-{gamma} responses in accord with the reports of others (31, 32, 33, 34). Patient samples were stimulated with each pool separately.

Vaccinia stimulation of PBMC

PBMC were stimulated by coculture with autologous transformed B cell lines (10:1 ratio) infected with the appropriate vaccinia virus (multiplicity of infection = 5) as previously described (35, 36). During the last 3 h of culture, 10 µg/ml (final concentration) of brefeldin-A was added to the wells. As additional controls, PBMCs suspended in medium containing IL-2 and IL-7, but not cultured with B cells infected with vaccinia or any other virus, were used as unstimulated controls for the vaccinia-stimulated cultures. The optimum time of stimulation was determined in previous experiments and the same conditions were maintained for all vaccinia or vaccinia-GPE experiments. For all experiments, the unstimulated background was subtracted.

Peptide stimulation of PBMC

PBMC were thawed and resuspended in complete culture medium at a concentration of 4 million PBMC/ml and stimulated with peptide pools (final concentration 100 ng/ml of each peptide) along with CD28 and CD49d (BD Biosciences, San Diego, CA). The cells were then incubated for 18–24 h and brefeldin-A (final concentration of 10 µg/ml) was added during the last 4 h of stimulation. The optimum length of stimulation was determined by previous experiments (37).

Intracellular cytokine staining for IFN-{gamma} and TGF-{beta}1

One step surface and intracellular staining was performed as previously described (31, 38). TGF-{beta}1 staining has been previously described by our laboratory (39).

Conjugated Abs used were specific for CD3 (clone: HIT3a), CD4 (clone: RPA-T4), CD8 (clone: RPA-T8), CD69 (clone: FN50), and anti-IFN-{gamma} (clone: B27) (BD PharMingen, San Diego, CA). We also used anti-TGF-{beta}1 (clone: TB21 (40)) (a gift from IQ Products, Groningen, The Netherlands). The cells were stained with anti-CD3, anti-CD8, anti-CD69, or anti-CD4 and anti-IFN-{gamma}. TGF-{beta}-producing cell lines (number CR 2159, LS411N; American Type Culture Collection, Manassas, VA) were used as positive controls and nonstimulated PBMC was used as a negative control. The cells were then analyzed by flow cytometry (FACScan; BD Biosciences). To analyze the data, a minimum of 20,000 list mode events were collected using FACScan Cyclops software and then the WINLIST V4.0 software (Verity, Topsham, ME) was used for analyses. CD3+ cells were first gated, followed by CD4+ or CD8+ cells. IFN-{gamma} and TGF-{beta}1 production by CD4+ and CD8+ cells is reported as the percentage of total CD4+ or CD8+ cells respectively.

ELISA

Human TGF-{beta}1 and IFN-{gamma} ELISA kits (Quantikine; R&D Systems, Minneapolis, MN) were used to measure TGF-{beta}1 and IFN-{gamma} in culture supernatants according to the manufacturer’s recommendation. The TGF-{beta}1 assay measures total TGF-{beta}1.

TGF-{beta}1 neutralization experiments

Cells from six donors were stimulated using vaccinia-SC11 or vaccinia-GPE as described in the previous sections. Three different wells of vaccinia-GPE, and one well of vaccinia-SC11 stimulations, were set up in a 24-well culture plate. The first well of the vaccinia-GPE stimulation was left untreated and either 0.5 µg/ml anti-human TGF-{beta}1 or an isotype matched Ab control (R&D Systems) was added in the other two. This was followed with surface and intracellular staining 24 h later as described above.

Statistical analysis

For all flow cytometry experiments responder frequencies were determined using WINLIST V4.0 software (Verity). Data were collated and statistics generated using SPSS 8.0 for Windows (SPSS, Chicago, IL). Data from the ELISA experiment was expressed in picograms per milliliter and plotted either as means (column graphs) or correlation curves. t tests were used to compare means and obtain p values while r2 was determined for correlation graphs.


    Results
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
HIV- control subjects do not produce HIV-specific IFN-{gamma} responses

The IFN-{gamma} response of 20 low-risk individuals to vaccinia virus or recombinant vaccinia virus expressing HIV proteins gag, pol, and env (vaccinia-GPE) was tested. PBMCs were isolated and stimulated with transformed B cells infected with each of the two viruses. The percentage of IFN-{gamma} cells responding to the vaccinia control was subtracted from the percentage of IFN-{gamma} cells responding to vaccinia-GPE recombinant virus to determine the HIV-specific response. As expected for HIV low-risk individuals, the mean was close to zero (0.04%) with a range of -0.76–1% and SD of 0.59%. This established the normal range of the assay in controls. HIV-infected donors were defined as either responders or suppressors: if responses were greater or less than ± 2 SD of the control group mean and those within this range were classified as indeterminate (Fig. 1GoA).



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FIGURE 1. A, IFN-{gamma} responses of all donors to vaccinia-SC11 and vaccinia-GPE. CD8+ responses to recombinant vaccinia after subtracting responses to vaccinia-SC11 are plotted. Each point represents the percentage of HIV-specific IFN-{gamma} of an individual donor and a horizontal line illustrates the mean of each group. B, Responses of all donors to vaccinia-SC11 only. Vaccinia-SC11 responses of the 20 HIV- and 40 HIV+ donors in A. Each point represents the percentage of HIV-specific (A) or vaccinia-specific (B), IFN-{gamma} of an individual donor and a horizontal line illustrates the mean of each group. C–F, IFN-{gamma} measurement by flow cytometry. Samples of flow cytometry data for responder and suppressor HIV+ individuals. C, Vaccinia-SC11 response; D, Vaccinia-GPE response from a responder; E, Vaccinia-SC11 response; F, Vaccinia-GPE response from a suppressor. All histograms show cells stained with anti-CD8 Ab (FITC) and anti-IFN-{gamma} Ab (PE). We gated the histograms on CD3+ cells and a lymphocyte scatter gate.

 
Some HIV+ donors can nonspecifically suppress vaccinia-GPE responses

Forty HIV+ donors were analyzed in the same way as the low-risk donors. We had expected that we would see that the HIV+ donor response would all be equal or greater than the control vaccinia responses. Fifteen of 40 donors had vaccinia-GPE responses greater than controls, while 15 of 40 had IFN-{gamma} responses indistinguishable from controls. Surprisingly, 10 of 40 donors had vaccinia-GPE responses significantly less than the controls (Fig. 1GoA). Data for GPE-specific responses from the 40 HIV+ individuals were classified, based on the criteria defined above, as responders (vaccinia-GPE > vaccinia), suppressors (vaccinia-GPE < vaccinia), or indeterminate (vaccinia-GPE = vaccinia). The average vaccinia responses for each of the three groups of HIV+ individuals were indistinguishable from those of the HIV- individuals (Fig. 1GoB), demonstrating that they could all produce IFN-{gamma} responses. To test the precision of the assay, this analysis was repeated with 20 of the donors using duplicate samples, but performed several months apart. The results were identical in classification and nearly identical in quantification (r2 = 0.9082). We show an example of the primary data which forms the basis of this classification. Fig. 1Go, C and D, shows the responses of a responder to vaccinia Sc11 (C) and HIV-vaccinia (D). As can largely be seen, there is a substantially higher number of IFN-{gamma}+ CD8+ cells in D (4.19%) than C (1.89%). In contrast, a suppressor donor shows a marked decrease (compare E (6.7%) vs F (1.07%)).

HIV protein expression does not alter Ag presentation of vaccinia proteins

We were concerned that the expression of HIV proteins in the recombinant vaccinia might alter the presentation of vaccinia proteins and thus result in the apparent suppression of the vaccinia-specific response. To test this, we compared the responses of the low-risk donors to vaccinia and vaccinia-GPE. The IFN-{gamma} responses to vaccinia-GPE correlated closely with responses to control vaccinia (r2 = 0.8899) in low-risk donors (Fig. 2GoA). Thus, the diminished capacity to respond to HIV-vaccinia in HIV+ donors cannot be attributed to interference with Ag presentation. In this group, only one donor was young enough to have not been vaccinated. We suspect that the response of this individual (~1%) is linked to an EBV-specific response from the immortalized B cell lines used as APCs in the experiment.



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FIGURE 2. A, Responses of normal individuals to vaccinia-SC11 and vaccinia-GPE. Each point indicates the percentage of CD8+ IFN-{gamma} responses of a single HIV- donor to either vaccinia-SC11 or vaccinia-GPE. B, Comparing intracellular cytokines with ELISA. The intracellular cytokine data is plotted against ELISA data from seven patients. The intracellular cytokine data is expressed in total number of responding CD8+ cells per well of culture.

 
Secreted IFN-{gamma} and intracellular cytokine (ICC) assay are highly correlated

To be certain that the ICC IFN-{gamma} assays reflected secretion of the cytokine, the ELISA and ICC measurements were compared in seven HIV+ donors. There was excellent correlation between the ELISA and the ICC assay (Fig. 2GoB; r2 = 0.91) indicating that the total secretion of the IFN-{gamma} and the number of CD8+ cells producing IFN-{gamma} as measured by these two methods are equivalent. Thus the assays are both good measures of the IFN-{gamma} response.

Suppressors produce high levels of TGF-{beta}

We reasoned that suppression of unrelated vaccinia responses was due to a regulatory response to HIV itself. We investigated production of the potent immunoregulatory cytokine TGF-{beta}1. We measured TGF-{beta}1 secretion in the cultures of all responders and suppressors stimulated at least once with vaccinia-GPE or control vaccinia. We have shown a representative experiment that was repeated twice in three responders and three suppressors, chosen based on the availability of sufficiently large samples. Each experiment was set up in triplicate and the mean values in picograms per milliliter were calculated. Responder cultures (which showed good IFN-{gamma} responses) produced very little TGF-{beta}1 as measured by ELISA (Fig. 3GoA). TGF-{beta}1 secretion in the suppressors was significantly increased in the vaccinia-GPE stimulated cultures over the control vaccinia-stimulated cultures. Because TGF-{beta}1 is known to be anti-inflammatory, it was likely that the reason for the lowered IFN-{gamma} response in the vaccinia-GPE-stimulated cultures was production of TGF-{beta}1. Indeed, when IFN-{gamma} and TGF-{beta}1 from seven other patients were plotted, there was a negative correlation between TGF-{beta} secretion and IFN-{gamma} secretion (r2 = 0.868; Fig. 3GoB). Cultures with high TGF-{beta}1 produced little IFN-{gamma} and vice versa.



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FIGURE 3. A, TGF-{beta} production by responders and suppressors. The TGF-{beta}1 ELISA levels of culture supernatants from three suppressors and three responders is shown. The dark column represents vaccinia-SC11-stimulated culture wells while the striped columns represent vaccinia-GPE-stimulated culture wells. Error bars represent the SEM of three different experiments. B, TGF-{beta}1 and IFN-{gamma} production are negatively correlated. The vaccinia-GPE-specific ELISA data for TGF-{beta}1 and IFN-{gamma} levels from seven randomly selected HIV+ individuals is shown. Each data point represents a single patient.

 
Suppression is reversed by neutralizing TGF-{beta}1

To confirm that TGF-{beta}1 was the functional immunoregulatory cytokine in vaccinia-GPE-stimulated cultures, we reasoned that Ab to TGF-{beta}1 added to the cultures would be able to reverse the suppressive effect. TGF-{beta}1 neutralization experiments were performed on stimulated PBMCs. Three independent experiments performed in triplicate are summarized in Fig. 4Go. Suppressor donor cells stimulated with vaccinia-GPE alone had lower CD8 responses than control vaccinia as before (p < 0.003). This effect was reversed with the use of anti-TGF-{beta}1 Ab (p < 0.002), but not by an isotype Ab control (p > 0.7) confirming that TGF-{beta}1 was a critical mediator of this suppressive effect. Indeed, after the addition of anti-TGF-{beta}1, the cultures with vaccinia-GPE and anti-TGF-{beta}1 produced higher IFN-{gamma} responses than cultures with vaccinia alone and significantly higher than vaccinia-GPE cultures (p < 0.00001) and vaccinia-GPE with isotype Ab cultures (p < 0.00001). This suggests that an IFN-{gamma} response to HIV was suppressed by TGF-{beta}1 as well and could now be revealed by inhibiting the action of TGF-{beta}1. In contrast, the responder cultures showed significant increase in IFN-{gamma} in vaccinia-GPE cultures with or without isotype Ab (p < 0.00001) and in the presence of anti-TGF-{beta}1 Ab (p < 0.0001). However, there is no significant difference between vaccinia-GPE cultures alone and vaccinia-GPE cultures with anti-TGF-{beta}1 Ab (p > 0.7).



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FIGURE 4. TGF-{beta}1 neutralization reverses its suppressive effect. Neutralization assay data from three suppressors and three responders. The striped column is the response of vaccinia alone; the black column represents vaccinia-GPE; the gray column represents the vaccinia-GPE cultures with anti-TGF-{beta}1 while the open columns represent the wells with isotype Ab. Column height shows the mean of three donors and error bars represent a 95% confidence interval.

 
The source of TGF-{beta}1 is predominantly CD8+ cells

To determine which cells produced TGF-{beta}1, we examined the cells from three patients stimulated with vaccinia or vaccinia-GPE-infected autologous B cells (or peptide pools; data not shown) and we determined the frequency of TGF-{beta}1-producing T cells by intracellular staining for TGF-{beta}1. The assays showed that while both CD4+ and CD8+ cells produce TGF-{beta}1, 80% of the TGF-{beta}1-producing cells are CD8+ cells (Fig. 5Go, A and B). We were able to block the TGF-{beta}1 staining of all the cells using human rTGF-{beta}1, indicating that the response we were measuring was TGF-{beta}1 production by the cells (Fig. 5GoC). In Fig. 5GoD, we show a histogram of simultaneous staining for both TGF-{beta}1 and IFN-{gamma} performed on the same cells. The figure shows that different CD8+ cells are producing the two cytokines in this patient and also confirms that suppressor patients have a smaller proportion of IFN-{gamma} producing cells. Two other patients give similar results.



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FIGURE 5. Both CD4+ and CD8+ cells produce TGF-{beta}1. A–D, Histograms from intracellular TGF-{beta}1 and IFN-{gamma} experiments after stimulation with vaccinia-GPE. A and B, The TGF-{beta}1 response of both CD4+ and CD8+ cells from a patient. C, An overlay of two histograms depicting CD8+/TGF-{beta}1+ cells before (solid line) and after (broken line) blocking staining with human rTGF-{beta}1. D, CD8+ cells from the same patient stained for both TGF-{beta}1 and IFN-{gamma}.

 
TGF-{beta}1 production is peptide-specific

PBMC from eight suppressors and three responders were stimulated with peptide pools to determine the HIV specificity of TGF-{beta}1 production. We wished to know if the peptides would stimulate TGF-{beta}1 production as seen with the vaccinia-GPE virus and if the peptides stimulated the production of both IFN-{gamma} and TGF-{beta}1. Fig. 6Go shows that responders produce IFN-{gamma} but not TGF-{beta}1, while suppressors produce predominantly TGF-{beta}1 but little IFN-{gamma}. TGF-{beta}1 production was stimulated by at least one peptide pool in all suppressors. None of the peptide pools stimulated TGF-{beta}1 in the responders while we had at least one peptide pool that produced IFN-{gamma}. In four of the eight suppressors, IFN-{gamma} responses were stimulated by at least one peptide pool. These data suggest that TGF-{beta}1 and IFN-{gamma} production are Ag-specific. More importantly, it demonstrates that clones with distinct specificity must respond by TGF-{beta} or IFN-{gamma} production. Because the patterns of stimulation by the peptide pools are not identical among the patients, it show that the peptides themselves do not stimulate TGF-{beta}1 production independent of TCR engagement.



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FIGURE 6. TGF-{beta}1 and IFN-{gamma} responses are directed at different pools of peptide. ELISA data of culture supernatants from 11 patients whose PBMC was stimulated with different pools of peptide covering the gag, pol, and env regions. Fig. 6Go shows the distribution of both TGF-{beta}1 (filled bars) and IFN-{gamma} (open bars) responses in these patients.

 

    Discussion
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 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
The failure to detect HIV-specific T cell responses in HIV+ individuals has been noted early in the disease process, well before the profound loss of CD4+ cells (41). The mechanism of this loss of activity has been the subject of debate (42). In this study, we show that the apparent lack of HIV-specific CD8+ responses can be the result of an active HIV-specific regulatory process mediated by secretion of TGF-{beta}1, rather than the absence of cells capable of responding to HIV Ags as has been previously proposed (26, 27, 43). We also saw nonspecific suppression of the vaccinia response. In other words, there was a suppression of both the vaccinia and HIV-specific responses in the presence of an HIV-specific stimulation as indicated by the lower percentage of IFN-{gamma}-producing cells in the vaccinia-GPE culture compared with the vaccinia alone culture (Fig. 1Go, E and F, and Fig. 4Go).

In individuals with a suppressor phenotype, the lack of both HIV-specific IFN-{gamma} response and the suppression of vaccinia-induced IFN-{gamma} responses were mediated by the active production of TGF-{beta}1 (Figs. 3Go, A and B). This is unrelated to the tat protein effects previously reported (26) because tat is not expressed by vaccinia-GPE and is not present in peptide pools. Furthermore, this suppression cannot be due to TGF-{beta}1 production in the culture by HIV-infected cells, because the same number of HIV-infected PBMC are present in all cultures but only some peptide pools stimulated TGF-{beta}1 production. The addition of Ab to TGF-{beta}1 to the culture was able to restore the response to vaccinia-GPE, confirming that TGF-{beta}1 is the major mechanism of inhibition. Indeed, among subjects initially showing the suppressor phenotype, the addition of anti-TGF-{beta}1 Ab resulted in responses to HIV-vaccinia exceeding responses to vaccinia control alone (Fig. 4Go). Further, in four of eight of the suppressors tested by peptide stimulation, IFN-{gamma} secretion was detected, showing an underlying IFN-{gamma} response that was suppressed. This suggests that these individuals have primed CD8+ effector cells able to respond to HIV with IFN-{gamma} production. This was confirmed by demonstrating the inverse relationship between TGF-{beta}1 and IFN-{gamma} produced by the same cultures (Fig. 3GoB). We propose that inhibition of T cell responses in many HIV+ individuals may result from the specific secretion of TGF-{beta}1, a well-described broadly suppressive immunomodulatory molecule. It is even more important that different CD8+ cells (Fig. 5GoD) seem to produce TGF-{beta}1 and IFN-{gamma}, thereby raising the possibility of TGF-{beta}1+ cells being regulatory cells corresponding to Th3 (44). This provides a rational explanation of the nonspecific lack of immune responses often observed in HIV+ individuals before the final drop in CD4+ cells (45).

We attempted to examine the effects of TGF-{beta}1 production on clinical status. However, the small number of subjects coupled with a large number of confounding treatment differences made meaningful comparison of differences impossible. We emphasize that the study was not designed with sufficient power to investigate the relationship between TGF-{beta}1 production and clinical status. We are currently planning an appropriately powered study.

It is also noted in this study that most of the TGF-{beta}1 was produced by the CD8+ cells in these patients (Figs. 5Go, A and B) and different cells respond to TGF-{beta}1 and IFN-{gamma} (Fig. 5GoD). This is important because most CTL dysfunctions are more pronounced in advanced disease when CD8+ cells are abundant (45). Indeed, when the percentage of CD3+/CD8+/CD69+/IFN-{gamma}+ cells were plotted against the gated CD3+/CD8+ cells, there was a negative correlation (r2 = 0.9122). A similar plot with gated CD3+/CD4+ cells showed a positive correlation (data not shown). This indicates that the lower the CD4 count, the more likely the CD8+ cells are to produce TGF-{beta}1 or vice versa. One possible interpretation is that TGF-{beta}1 production represents a default pathway of CD8+ cells repeatedly stimulated in the absence of CD4 help.

We were surprised to see the high frequency of CD8+ cells producing TGF-{beta}1. The frequency is not outside the range of response to virus infection because in some viral responses, up to 50–70% of the CD8+ T cells can be directed at a single epitope, and in HIV, a single tetramer can stain up to 10% of the CD8+ T cells (46, 47, 48). An alternative explanation is that a smaller number of CD8+ T cells may have responded and produced TGF-{beta}1 and that TGF-{beta}1 induced TGF-{beta}1 secretion by other cells. TGF-{beta} has been reported to induce its own secretion in non-T cells (49).

It is important to note that while the secretion of TGF-{beta}1 is dependent on HIV stimulation, the effects of TGF-{beta}1 are not. We can imagine that in the lymph nodes of the infected individual there is frequent, if not constant, stimulation by HIV and the resulting environment with high levels of TGF-{beta}1 would inhibit not only HIV responses, but also other responses, especially in the local environment.

A high proportion of individuals in our HIV-infected population (10 of 40) appear to produce high levels of TGF-{beta}1 in response to HIV Ags. These HIV+ donors were unable to mount an IFN-{gamma} response to HIV and had suppressed vaccinia responses in the presence of HIV Ags. Interestingly, most studies of HIV-specific CTL in HIV+ subjects report the lack of CTL in a similar proportion (~20%) (50).

Given the high prevalence of TGF-{beta}1 mediated suppression of T cell responses in the HIV-infected population, it is important to consider the potential clinical implications of these observations. The importance of TGF-{beta}1-mediated suppression of cellular immunity to disease progression and the result of successful antiretroviral treatment should be explored. Unfortunately, our current sample size is too small and heterogeneous for useful analysis. Furthermore, gaining a better understanding of this phenomenon could have broad implications for HIV immunotherapy because it is possible that exposure (or re-exposure) to HIV Ags could elicit nonspecific suppression in either HIV- or HIV+ individuals. The tendency of particular immunization protocols to elicit TGF-{beta}1 responses in HIV- subjects could prove important to efficacy in conventional prophylactic vaccine trials and should be monitored. Similarly, augmentation of TGF-{beta} responses in treated HIV+ individuals could impede the success of structured treatment interruption and therapeutic vaccination strategies currently under investigation (51).


    Acknowledgments
 
We acknowledge the support of the staff of the Infectious Disease Clinic, particularly Prema Menezes, physician’s assistant, and the Center for AIDS Research of the University of North Carolina at Chapel Hill, for their help and assistance during the collection of samples for this study. We thank Drs. Roberta Greenwood and Robert Maile for discussion, as well as Alma Nielsen for technical assistance in the course of this study.


    Footnotes
 
1 1. This work was supported by National Institutes of Health Grants R01 AI 29324, P30-HD37260, and R01 AI40951. Back

2 Address correspondence and reprint requests to Dr. Jeffery A. Frelinger, Department of Microbiology and Immunology, University of North Carolina, CB#7290 MEJ, Chapel Hill, NC 27599-7290. E-mail address: jfrelin{at}med.unc.edu Back

3 Abbreviations used in this paper: vaccinia-GPE, VV-ABT 408-6-1, containing clade B HIV-1 IIIB gag, pol, and env; ICC, intracellular cytokine. Back

Received for publication November 8, 2001. Accepted for publication January 2, 2002.


    References
 Top
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

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