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Journal of Virology, December 2002, p. 12603-12610, Vol. 76, No. 24
0022-538X/02/$04.00+0 DOI: 10.1128/JVI.76.24.12603-12610.2002
Copyright © 2002, American Society for Microbiology. All Rights Reserved.
Human Immunodeficiency Virus Type 1 (HIV-1)-Specific CD8+-T-Cell Responses for Groups of HIV-1-Infected Individuals with Different HLA-B*35 Genotypes
Xia Jin,1* Xiaojiang Gao,2 Murugappan Ramanathan, Jr.,3 Geoffrey R. Deschenes,3 George W. Nelson,2 Stephen J. O'Brien,4 James J. Goedert,5 David D. Ho,3 Thomas R. O'Brien,5 and Mary Carrington2
University of Rochester Medical Center, Rochester, New York 14642,1
Intramural Research Support Program, SAIC,2
Laboratory of Genomic Diversity, NCIFrederick, Frederick, Maryland 21702,4
Aaron Diamond AIDS Research Center, New York, New York 10021,3
Viral Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland 208525
Received 3 May 2002/
Accepted 29 August 2002

ABSTRACT
Human immunodeficiency virus type 1 (HIV-1)-infected individuals
with HLA-B*35 allelic variants B*3502/3503/3504/5301 (B*35-Px)
progress more rapidly to AIDS than do those with B*3501 (B*35-PY).
The mechanisms responsible for this phenomenon are not clear.
To examine whether cellular immune responses may differ according
to HLA-B*35 genotype, we quantified HIV-1-specific CD8
+-T-cell
(CTL) responses using an intracellular cytokine-staining assay
with specimens from 32 HIV-1-positive individuals who have B*35
alleles. Among them, 75% had CTL responses to Pol, 69% had CTL
responses to Gag, 50% had CTL responses to Nef, and 41% had
CTL responses to Env. The overall magnitude of CTL responses
did not differ between patients bearing B*35-Px genotypes and
those bearing B*35-PY genotypes. A higher percentage of Gag-specific
CTL was associated with lower HIV-1 RNA levels (
P = 0.009) in
individuals with B*35-PY. A negative association between CTL
activity for each of the four HIV antigens and viral load was
observed among individuals with B*35-PY, and the association
reached significance for Gag. No significant relationship between
CTL activity and viral load was observed in the B*35-Px group.
The relationship between total CTL activity and HIV RNA among
B*35-Px carriers differed significantly from that among B*35-PY
carriers (
P < 0.05). The data are consistent with the hypothesis
that higher levels of virus-specific CTL contribute to protection
against HIV disease progression in infected individuals with
B*35-PY, but not in those with B*35-Px.

INTRODUCTION
Associations between major histocompatibility complex (MHC)
class I genotype and disease have been studied in many models
(
29). While most of these studies have involved autoimmune diseases,
several associations have been consistently identified with
infectious diseases. HLA-B*35 has a codominant susceptibility
effect on the rate of progression to AIDS after human immunodeficiency
virus type 1 (HIV-1) infection (
7,
22). In contrast, HLA-B*27
is associated with slower disease progression (
17,
36), and
B*5701 is overrepresented in long-term nonprogressors (LTNPs)
(
16,
31). B*27 and B*57 carriers also had the strongest responses
by cytotoxic T-lymphocytes (CTL) in recipients of candidate
HIV vaccines (
23). Our recent study indicates that the HLA-B*35/53
subtypes B*3502, B*3503, B*3504, and B*5301 (termed B*35-Px)
correlate more strongly with rapid HIV-1 disease progression
than does the common Caucasian and African-American subtype,
B*3501 (termed B*35-PY) (
14). The mechanisms responsible for
MHC class I association with HIV disease progression are not
known. It is well documented that MHC class I-mediated antigen
presentation determines the magnitude of a CTL response, and
CTL response is crucial in protection against viral infections
(
20). However, an association between resistance to HIV-1 infection
and recognition of CTL epitopes distinct from those targeted
in HIV
+ individuals with the same HLA types has been reported,
suggesting that there are significant qualitative differences
in CTL responses against HIV-1 (
24).
The magnitude, breadth, specificity, and avidity of a CTL response may all contribute to the control of HIV viremia levels. The importance of a high-magnitude CTL response has been described in numerous reports (6, 25, 35, 37). HIV-specific CTL frequencies are strong in patients with high CD4 counts and during earlier stages of infection, whereas they are often low in later stages of infection, particularly when patients' clinical situations deteriorate (6, 25). Further, HIV-infected LTNPs were shown to have higher CTL frequencies than those who progressed to AIDS (37), and an inverse association between CTL numbers and viremia levels has been also been observed (4, 9, 11, 18, 32, 35, 38). Nevertheless, recent data have indicated that not all CTL responses are equal and that rather than quantity, the quality of the CTL response may be most important in control of viral load and AIDS progression (2, 3, 31). Because of the importance of CTL in conferring protection, it is conceivable that the class I loci may affect rate of progression to AIDS through a number of mechanisms.
On average, individuals homozygous at class I loci present a more limited range of CTL epitopes than do heterozygous individuals. Thus, viral escape mutants may arise more quickly in homozygotes, leading to dissemination of the virus and earlier onset of disease. Genetic data support this model for involvement of HLA and CTL in progression to AIDS (7). It is also reasonable to expect that HLA class I genotypes vary in the degree to which they induce a protective CTL response and that a range of responses from weak to strong occurs depending on genotype. This in turn will affect how rapidly one develops disease. Alternatively, unknown host genes associated with class I loci may be responsible for the different rates of HIV-1 progression.
We hypothesize that HIV-1-specific CTL responses are stronger (quantitatively and/or qualitatively) in B*35-PY than in B*35-Px positive individuals. Here, a potential correlation between the frequency of HIV-specific CTL and viral load was tested, addressing whether quantity of specific CTL might explain to some degree the epidemiological difference between these groups.

MATERIALS AND METHODS
Patients.
Thirty-two individuals were selected from either the Multicenter
Hemophilia Cohort Study or a cohort of homosexual men from New
York City and Washington, D.C. (
33,
34). The duration of infection
at the time of blood draw ranged from 10.8 to 128.4 months in
these patients, their CD4 counts ranged from 8 to 2,194 per
µl, and baseline viremia levels ranged from 428 to 4,810,940
HIV-1 RNA copies/ml. All blood samples were collected prior
to any antiretroviral treatment. All subjects have known subtypes
of B*35/53 (Table
1). These subtypes have been classified as
B*35-PY (B*3501), or B*35-Px (B*3502, B*3503, or B*5301) previously,
based on their epitope preference (
14).
HIV-1 viral load measurement.
HIV-1 RNA levels were quantified using the Amplicor HIV-1 Monitor
assay (Roche Molecular Systems, Branchburg, N.J.), which has
a detection limit of 200 HIV-1 RNA copies/ml. The HIV-1 RNA
levels in study subjects were expressed as log
10 HIV-1 RNA copies/ml.
HLA typing.
Genomic DNA was isolated from patients' lymphoblastoid B-cell lines and amplified with a panel of 96 sequence-specific primers for HLA-A, -B, and -C. PCR products were electrophoresed on agarose gels containing ethidium bromide, and predicted size products were visualized under UV light. Finer typing for B*35-related subtypes was achieved by direct sequencing of the PCR products with the ABI Big Dye terminator cycle sequencing ready reaction kit (Applied Biosystems Division/Perkin-Elmer, Foster City, Calif.). Primers in the first and third introns of HLA-A, -B, and -C were used for locus-specific amplification of exons 2 and 3. The amplified products were subjected to cycle sequencing in both orientations. The samples were then run on an ABI 377 sequencer (Applied Biosystems Division/Perkin-Elmer), and the sequences were analyzed with the Match Tools and MT navigator allele identification software (Applied Biosystems Division/Perkin-Elmer).
ICS.
The intracellular cytokine staining (ICS) assay has been used for measuring HIV-specific CTL responses by several groups (3, 21, 31). There are, however, major differences in ways by which the cells are stimulated. We use HIV antigen-expressing recombinant vaccinia virus-infected autologous antigen-presenting cells to stimulate a CD8+ T-cell response (21), while others use either overlapping HIV peptides (3) or recombinant vaccinia virus-infected B-lymphoblastoid cells (31). Briefly, an aliquot of 0.5 x 106 to 1 x 106 cryopreserved peripheral blood mononuclear cells (PBMC) from each patient was infected with recombinant vaccinia virus expressing B-clade HIV-1 Env, Gag, Pol, Nef, or control Eco antigens (Virogenetics, Troy, N.Y.) at a multiplicity of infection of 2 for 20 to 22 h at 37°C. Brefeldin A (10 µg/ml; Golgiplug; PharMingen, San Diego, Calif.) was added during the last 5 h of incubation. The cells were stained with anti-CD3PE, -CD4APC, -CD8PerCP in the pilot experiment as previously described (21) and with anti-CD69PE, -CD3APC, -CD8PerCP (Becton Dickinson, San Jose, Calif.) antibodies for 30 min at 4°C in the main experiment presented in Fig. 3 and 4. After washing and permeabilization with CytoFix/Cytoperm solution (PharMingen), the cells were stained intracellularly by an anti-gamma interferon (anti-IFN-
) fluorescein isothiocyanate antibody (PharMingen) before being analyzed using a FACScalibur flow cytometer. The fluorescence-activated cell sorter data were analyzed with CellQuest software by gating on small CD3+ CD4- T cells first, followed by displaying CD69 versus IFN-
staining. Stimulation by a 5-µg/ml concentration of a superantigen, staphylococcal enterotoxin B (SEB), was used as a positive control in all assays. Only samples containing at least 1% of IFN-
-producing CD8+ T cells, after SEB stimulation, were included in the final calculations. All experimental results were expressed as a percentage of IFN-
-producing CD8+ T cells, with the background IFN-
production from control samples subtracted. When stimulated with control antigens, we detected little IFN-
production from CD8+ T cells (0.02% to 0.03%, n = 195) (21) and therefore contend that the assay sensitivity is sufficient and variation is minimal.
Data analysis.
To assess whether CTL levels affected HIV RNA levels among individuals
carrying B*35-Px or those carrying B*35-PY, we performed a linear
regression analysis for each genotype. To examine if the effect
of CTL levels differed by genotype, we created homogeneity-of-slopes
models that compared the relationship between CTL and HIV RNA
among B*35-Px carriers to that among B*35-PY carriers. These
analyses were performed using the PROC GLM program in the SAS
package (6.12 ed.; SAS Institute, Cary, N.C.). The interval
from seroconversion to the time of the blood draw, from which
both the CTL and viral load measurements were taken, was considered
to be a confounding covariate in both analyses. Relative hazard
(RH) and
P values in the survival analysis were calculated by
Cox model analysis (
10).

RESULTS
Rate of progression to AIDS among individuals with B*35-Px versus B*35-PY.
To confirm that the survival advantage of B*35-PY over -Px was
true in this smaller set of patients, we compared the survival
times of 16 B*35-Px and 16 B*35-PY patients. The B*35-PY group
had a significantly longer survival time for the outcome AIDS
1993 (
8a) (RH = 3.4;
P = 0.04) (Fig.
1), but not for the later
outcomes AIDS 1987 (
8b) (RH = 1.6;
P = 0.48) or AIDS-related
death (RH = 1.03;
P = 0.97) (data not shown). Although the sample
size is small, the results were generally consistent with the
previously observed results (
14). The results for AIDS 1993
correspond to a median time to AIDS that is 3 years longer for
the B*35-PY subjects than for the B*35-Px subjects.
Detection of HIV-1-specific CTL using the ICS assay.
To assess the percentage of antigen-specific CD8
+ T cells, we
developed an assay to quantify, at the single-cell level, the
number of cells capable of producing IFN-

after stimulation
with HIV-1 antigens (
21). This ICS assay is similar to those
described previously (
3,
31), differing primarily in the protocol
used to stimulate the CTL (see Materials and Methods). An example
of a pilot experiment using this method is illustrated in Fig.
2, where aliquots of cryopreserved PBMC from one HIV-1-infected
patient were simulated with recombinant vaccinia virus expressing
HIV-1 Env, Gag, Pol, Nef, or control Eco antigens. The percentage
of IFN-

-producing CD8
+ T cells was enumerated as described in
the Materials and Methods. In this sample, a background percentage
of IFN-

-producing cells (0.03%) was detected when stimulated
with the negative control antigen Eco, and 5.74% CD8
+ T cells
produced IFN-

after simulation with the positive control SEB.
As expected, HIV-1 antigens activated various percentages of
CD8
+ T cells. Gag, Nef, and Pol stimulated 0.93, 0.17, and 0.06%
CD8
+ T cells, respectively, whereas Env did not activate enough
CTL to be detectable. Because these percentages fall within
the normal range of the frequency of HIV-specific CTL as reported
by most investigators (
30), we proceeded to quantify the HIV-1-specific
CTL in patients bearing different HLA-B*35 subtypes.
Lack of an overall quantitative difference in HIV-1-specific CTL responses between the B*35-Px and -PY groups.
The rapid rate of progression to AIDS among individuals with
HLA-B*35-Px relative to those with B*35-PY could be explained
by quantitative and/or qualitative differences in CTL activity.
The frequency of CTL specific for each of the four HIV antigens
was measured to determine whether a gross quantitative difference
in CTL could account for the observed genetic effects. All individuals
selected in this study were heterozygous at the HLA-B locus,
and all but five individuals were heterozygous at HLA-A and
-C (three were homozygous at HLA-A and two were homozygous at
HLA-C [Table
1]). Thus, CTL restricted by at least five different
HLA types would be expected to contribute to the total CTL measured
for each antigen. Both the B*35-Px and -PY groups showed CD8
+-T-cell
responses to various HIV-1 antigens, as illustrated in Fig.
3, and the level of response to HIV-1 antigens did not differ
between the B*35-Px and B*35-PY groups. Among the 32 patients
studied, 75% had CTL responses to Pol, 69% had CTL responses
to Gag, 50% had CTL responses to Nef, and 41% had CTL responses
to Env (Fig.
3). The magnitude of these responses was variable
according to antigens tested. The strongest responses were to
Gag and Pol, with a mean of 0.25% + 0.34% (ranging from 0.00
to 1.45%) and 0.30% ± 0.39% (ranging from 0.00 to 1.72%),
respectively. Weaker responses to Nef (0.10% ± 0.21%)
and Env (0.07% ± 0.09%) were observed. The data suggest
that CTL responses restricted by all HLA alleles may not differ
significantly between the B*35-Px and -PY groups, although statistical
power issues in the data set may hinder our ability to detect
small differences. If other quantitative CTL differences between
the B*35-Px and -PY groups were responsible for the observed
disparity between these groups, then among the four major HIV
antigens examined, they should be most evident in the response
against Gag and Pol since responses to these antigens were stronger
than those against Nef and Env in our data set.
Small differences in association of CTL quantity with viral load in the B*35 subgroups.
Individuals with one copy of HLA-B*35-Px progress to AIDS significantly faster than those who are homozygous for other alleles at the HLA-B locus (8), suggesting that HLA-B*35-Px may interact with HIV in a manner that results in an actively negative phenotype, rather than simply as a null allele. Based on these epidemiological findings, we propose that higher CTL numbers may not control virus in individuals with B*35-Px relative to those with other HLA-B types, because CTL restricted by individuals with B*35-Px may actually contribute to the susceptibility observed. On the other hand, higher CTL percentages might be expected to be associated with better viral control in the B*35-PY group, since CTL restricted by B*35-PY should be relatively protective. To test this hypothesis, we determined whether the frequency of CTL specific for each HIV antigen was associated with viral load in the B*35-Px and -PY groups.
For individuals with B*35-PY alleles, higher percentages of CTL specific for each of the HIV-1 antigens was associated with lower HIV RNA levels (Table 2), and the association with Gag was significant (P = 0.009). While the association between CTL and viral load did not reach significance for the other HIV antigens, the trend was observed in the analysis where CTL against all antigens were combined (P = 0.087). In contrast, no indication of a negative correlation between viral load and frequencies of CTL specific for any HIV protein tested was observed for the B*35-Px group.
It had been shown previously that the numbers of A2-restricted
CTL are inversely associated with viral load (
35); we therefore
examined whether the same is true in our study population. A
significant negative correlation was observed between CTL level
and viral load for the A*02 positive individuals in this study
(
P = 0.003 for total CTL and
P = 0.0005 for Gag-specific CTL)
but not for the remainder of samples. Because A*02 is evenly
distributed in the B*35-Px and -PY group of patients we studied
(seven in each group), the observed difference in CTL and viral
load association between the B*35-Px and -PY groups is unlikely
due to the A*02 effect. However, such a deduction cannot be
formally proved due to a substantial reduction in sample size
if A*02-bearing subjects are excluded from the analysis used
in Fig.
3 and
4 as well as Table
2.
We used a homogeneity-of-slopes model to compare the relationships of CTL frequency to viral load levels between the B*35-Px and -PY groups for each antigen and all antigens combined (Table 2). Significantly different relationships between the B*35-Px and -PY carriers were observed for all CTL combined (P = 0.049) and also for Gag alone (P = 0.018). The homogeneity-of-slopes test showed striking differences in viral load versus CTL correlations between subjects bearing and lacking A*02, for all CTL (P = 0.002), Gag-specific CTL (P = 0.001), and Pol-specific CTL (P = 0.004). These data suggest that increasing frequency of HIV-specific CTL confers protection among A*02- and B*35-PY-positive individuals but not among B*35-Px-positive individuals.

DISCUSSION
Our initial approach to understanding the functional basis for
the difference in AIDS progression between individuals with
B*35-Px versus those with B*35-PY was to examine potential differences
in overall CTL frequency mediated through all the HLA genes
present in each individual, instead of those restricted only
by either the B*35-Px or -PY molecules. We did not observe a
significant difference in CTL percentages between the B*35-Px
and B*35-PY groups, either for total or individual HIV antigens,
suggesting that the quantity of HIV-1-specific CTL overall does
not account for the different rates of disease progression between
these two groups. This result was not unexpected since these
individuals should have CTL restricted by all other HLA types
present in addition to B*35. Furthermore, we propose that B*35-Px
exerts an actively negative effect on disease progression, where
CTL recognizing HIV peptides in the context of B*35-Px may actually
cause damage in a manner similar to that observed in autoimmune
diseases. This hypothesis is based on epidemiological data showing
that individuals with B*35-Px progress to AIDS significantly
more rapidly than do individuals who are homozygous for other
alleles at HLA-B (
8), indicating that B*35-Px cannot simply
be considered a null allele (i.e., where CTL recognizing HIV
peptides in the context of B*35-Px are simply missing or inactive).
These data correlate with a previous report which indicated
that although HLA-B*57 is overrepresented in the HIV-1-infected
LTNPs, there is no quantitative difference in the total HIV-1-specific
CTL between B*57-positive LTNPs and B*57-positive progressors
(
15,
31).
Although an obvious, overall quantitative difference in frequencies of HIV-specific CTL between the two patient groups was not observed, the B*35-PY group did show an inverse relationship between CTL levels and viral loads for each HIV antigen examined. However, significance was reached only in the case of Gag-specific CTL, and the inverse correlations observed for B*35-PY were not nearly as pronounced as those for A*02. The relationship for the B*35-Px group actually tended in the opposite direction, and the difference between the B*35-Px and B*35-PYgroups in their relationships between total HIV-specific CTL level (combined CTL percentages for all four antigens) and viral loads was marginally significant (P < 0.05) (Table 2). This difference may be weakened by the presence of CTL restricted by other non-B*35 subtypes in the same individuals.
The data presented herein serve as a foundation for further studies that address activity of CTL restricted by B*35-PY versus -Px specifically. The difference between the B*35-Px and -PY groups in their association between HIV-specific CTL percentages and viral load, particularly of CTL against Gag, might be explained by several possibilities, some of which are (i) B*35-Px-bearing individuals present a similar set of peptide epitopes, but do so less effectively than those bearing the B*35-PY allele; (ii) CTL escape mutants are more frequently generated in B*35-Px-positive patients than -PY-positive patients; (iii) B*35-Px and -PY molecules present different epitopes, and those presented by CTL generated in B*35-PY are protective, but those presented by B*35-Px are not; and (iv) B*35-Px molecules suppress the CTL activity mediated through the other HLA molecules in the same individuals.
Alternatively, some HIV-1-specific CD8+ T cells (i.e., those in the B*35-Px group) may not be fully functional, in that they contain less perforin or produce fewer ß-chemokines, for example. Indeed, recent studies have reported the existence of HIV-1-specific CTL that lack perforin (2) and melanoma-specific CD8+ T cells that are not cytolytic (28). Further experiments using specific tetramers in combination with cytokine staining may help to test these other possibilities in patients with various subtypes.
CTL specific for some HIV antigens may be more protective against high viral load and HIV disease progression than others. Several studies concluded that CTL to early HIV or simian immunodeficiency virus gene products, such as Nef and Tat, are the most effective (1, 12, 13, 19, 26), because these CTL recognize and kill virus-infected cells before viral particles are produced. CTL specific for env gene product have been detected during primary HIV infection and appear to exert strong selective pressure on HIV genetic variation (5, 27, 32, 39). Gag sequences are highly conserved, and CTL specific for the molecule are readily detected in most patients at all stages of HIV infection (6, 25, 35, 37), suggesting that Gag-specific CTL responses could potentially restrict HIV replication. Data described herein would support a protective role for Gag-specific CTL responses after HIV infection, though qualitative effects of CTL against HIV moleculeswhich are not measured by methods employed herecannot be ruled out.
While CTL are important in controlling viral replication, other factors that might contribute to the different rates of HIV-1 disease progression in HLA-B*35-bearing individuals should also be considered. Genetic factors in linkage disequilibrium with B*35 may contribute to the predisposition of these subjects to HIV-1 disease progression, as opposed to B*35 itself, though the fact that B*35-Px is associated with rapid progression in both Caucasians and African-Americans argues against this possibility (14). Furthermore, immunological factors other that CD8+ T cells, such as natural killer (NK) and CD4+ T cells, may also be important in controlling HIV-1 replication differentially through specific B*35 subtypes. Therefore, in order to fully elucidate the mechanisms of MHC class I-associated variability in rates of HIV-1 disease progression, it will be necessary to examine characteristics of these other cells as well.

ACKNOWLEDGMENTS
We thank Wendy Chen for graphics and Michael Plankey for the
advice on statistics.
This project has been funded in part with federal funds from the National Cancer Institute, National Institutes of Health, under contract NO1-CO-12400.
The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.

FOOTNOTES
* Corresponding author. Mailing address: Infectious Disease Unit, University of Rochester Medical Center, 601 Elmwood Ave., Box 689, Rochester, NY 14642. Phone: (716) 275-6515. Fax: (716) 442-9328. E-mail:
Xia_Jin{at}URMC.Rochester.edu.


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Journal of Virology, December 2002, p. 12603-12610, Vol. 76, No. 24
0022-538X/02/$04.00+0 DOI: 10.1128/JVI.76.24.12603-12610.2002
Copyright © 2002, American Society for Microbiology. All Rights Reserved.
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