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CD8+ cytotoxic T lymphocyte (CTL)–mediated immune responses to HIV contribute to viral control in vivo. Epitopes encoded by alternative reading frame (ARF) peptides may be targeted by CTLs as well, but their frequency and in vivo relevance are unknown. Using host genetic (human leukocyte antigen [HLA]) and plasma viral sequence information from 765 HIV-infected subjects, we identified 64 statistically significant (q < 0.2) associations between specific HLA alleles and sequence polymorphisms in alternate reading frames of gag, pol, and nef that did not affect the regular frame protein sequence. Peptides spanning the top 20 HLA-associated imprints were used to test for ex vivo immune responses in 85 HIV-infected subjects and showed responses to 10 of these ARF peptides. The most frequent response recognized an HLA-A*03–restricted +2 frame–encoded epitope containing a unique A*03-associated polymorphism at position 6. Epitope-specific CTLs efficiently inhibited viral replication in vitro when viruses containing the wild-type sequence but not the observed polymorphism were tested. Mutating alternative internal start codons abrogated the CTL-mediated inhibition of viral replication. These data indicate that responses to ARF-encoded HIV epitopes are induced during natural infection, can contribute to viral control in vivo, and drive viral evolution on a population level.
HLA class I–restricted CD8+ CTL responses have been associated with viral containment during acute infection and are thought to contribute to the establishment of viral setpoint in the chronic stages of infection (Borrow et al., 1994; Koup et al., 1994; Jin et al., 1999; Schmitz et al., 1999; Brander et al., 2006; Northfield et al., 2007; Streeck et al., 2009). Aside from CTL epitopes located in proteins encoded by HIV open reading frames (ORFs), recent data point toward the existence of epitopes in protein sequences encoded by frameshifted HIV (Cardinaud et al., 2004) and SIV nucleotide sequences (Maness et al., 2007). Such alternative reading frame (ARF)–encoded epitopes have been reported in a variety of human diseases, including influenza infection, malignancies, and autoimmunity (Bullock and Eisenlohr, 1996; Wang et al., 1996; Bullock et al., 1997; Rimoldi et al., 2000; Probst-Kepper et al., 2001; Saeterdal et al., 2001; Saulquin et al., 2002), but they may occur at particularly high frequency in HIV and other retroviral pathogens that show frequent nucleotide deletions or insertions in their genome. Early studies in mouse AIDS and the recent reports in HIV and SIV infections suggest that immune responses mounted against such frameshifted epitopes could potentially contribute to viral control in vivo (Mayrand et al., 1998; Ho and Green, 2006). Indeed, CTLs targeting an HLA-B*07–restricted ARF epitope, first identified in HLA-B*07 transgenic mice, were able to recognize HIV-infected cells and kill peptide-pulsed antigen-presenting cells (Cardinaud et al., 2004). Moreover, ARF epitope–specific CTLs inhibited SIV replication in autologous infected cells in vitro and appeared to select for viral escape variants that abrogated the epitope binding to Mamu-B*17 in vivo (Yant et al., 2006; Maness et al., 2007).
The analysis of immune escape mutations in HIV-infected individuals expressing specific HLA class I alleles has allowed for the identification of HLA class I allele–specific “footprints,” which reflect the accumulation of particular HIV sequence polymorphisms in individuals carrying or lacking a specific HLA class I allele (Moore et al., 2002; Leslie et al., 2005; Bhattacharya et al., 2007; Rousseau et al., 2008; Brumme et al., 2009). The presence of such HLA footprints is thought to represent direct evidence for in vivo immune selection pressure on the virus by the host cellular immune response. Importantly, these footprints have also facilitated the identification of novel CTL epitopes in HIV coding sequences, although the presentation of individual epitopes on several HLA alleles may complicate the interpretation (Bhattacharya et al., 2007; Frahm et al., 2007).
Little is known about the potential in vivo relevance of ARF epitopes and how responses against such targets could affect viral evolution. To address this, we assessed the presence and frequency of HLA-associated viral polymorphisms that were statistically significant in one or more ARFs but not in the primary ORF (e.g., synonymous changes) in a large cohort of 765 untreated, chronically HIV-infected individuals (Brumme et al., 2007, 2008). Our data indicate that cellular immune responses to ARF-encoded sequences are not infrequent in HIV-infected individuals and that these responses can inhibit viral replication in vitro. Their in vivo relevance is further reflected by the identification of HLA class I allele–specific associations with particular viral polymorphisms that did not affect the amino acid sequence in the original reading frame yet represent effective escape from ARF epitope–specific CTL populations.
To identify ARF-directed T cell responses and to assess population-wide immune selection pressure mediated by these responses, HIV gag, pol, and nef sequences from a cohort of 765 individuals were analyzed for HLA allele–associated sequence polymorphisms in ARFs (Brumme et al., 2007, 2008). All nucleotide sequences were initially translated in the putative +1 and +2 reading frames and analyzed for HLA class I allele–associated viral polymorphisms, as previously described (Carlson et al., 2008). A correction for multiple comparisons using a q-value approach (Storey and Tibshirani, 2003) was applied, and associations with a false discovery rate of 20% or lower (q < 0.2) were included. A total of 64 HLA-associated viral polymorphisms unique to the ARF were identified in gag (29 associations), pol (27 associations), and nef (8 associations). Of these, 12, 18, and 7 were derived from +1 shifted reading frames and 17, 9, and 1 were derived from +2 shifted sequences, respectively (Table I). It is important to note that the HLA-associated polymorphisms listed in Table I were not reflected in the coding sequence of the HIV protein, and these associations are unique to the +1 and/or +2 ARF only. Indeed, our method also identified HLA-associated polymorphisms in the coding sequence, which resulted in (statistically significant) nonsynonymous substitutions in the +1 and +2 frames, but these were excluded from further analysis as we conservatively assumed that these imprints were driven by immune responses to the known HIV proteins. Furthermore, all HLA-associated polymorphisms in ARF that had an HLA association with any HLA allele within ±2 amino acids in the corresponding primary coding sequence were also excluded from analysis (for a complete list of imprints see Table S1).
According to a recent publication that introduces a consistent nomenclature of HLA-associated viral polymorphisms (Brumme et al., 2009), the associations identified in this study are referred to as adapted and nonadapted forms. Adapted forms (also commonly called escape variants) are amino acids significantly enriched in the presence of the HLA allele in question (and vice versa). Nonadapted forms (also commonly called wild-type or susceptible forms) are amino acids significantly depleted in the presence of the HLA allele in question (and vice versa).
To investigate if the observed HLA-associated polymorphisms could in fact be the result of viral adaptation to CTL-mediated immune pressure on alternative-frame HIV peptides, in vitro T cell responses to ARF peptides spanning the region of the associations were assessed. Peptides were synthesized to either contain the identified imprint in the center of two overlapping peptide (OLP) sequences (between 13 and 20 amino acids in length, and overlapping by 9–10 amino acids) or as short (9–12 amino acids long) predicted CTL epitopes using a recently developed epitope prediction algorithm (Heckerman et al., 2007), and were then tested by ex vivo IFN-γ ELISPOT assay using PBMCs from untreated, chronically HIV-infected individuals. Peptides included 9 sequences from the +1 ORF and 12 from the +2 ORF, covering 10, 8, and 2 regions of imprints in gag, pol, and nef, respectively (Table II). Responses were observed in 21 out of 85 HIV-infected individuals and 0 out of 32 HIV-negative individuals tested (P = 0.001 using Fisher’s exact test), indicating that responses are HIV specific (Fig. 1 A). Of note, there was no statistical difference in HLA class I allele representation between the HIV-infected and -uninfected individuals, indicating that the HIV-negative group was a suitable control population (Tables S2 and S3).
Among the 21 subjects with responses, 27 peptide-specific activities were seen with a median magnitude of 140 spot-forming cells (SFCs)/106 PBMCs (range: 50–820 SFCs/106 PBMCs; Fig. 1 B). Responses in seven individuals were reconfirmed by intracellular cytokine staining using flow cytometry and were in all cases mediated by CD8 T cells (not depicted). The frequency of individuals with detectable responses (24.7%) is comparable to that seen to first-frame responses to HIV protease, Vpu, Rev, Tat, and Vif (11–40% of responders, based on protein-specific peptide sets ranging from 9 to 24 OLPs). These proteins are consistently among the less frequently targeted HIV proteins (Frahm et al., 2004; Zuñiga et al., 2006) that elicit responses of comparable magnitude (all P > 0.05; Zuñiga et al., 2006). Thus, although of lower magnitude and frequency than responses to dominant targets such as HIV Gag, RT, and Nef, responses to ARF were well above stringent assay backgrounds, also reflected by the fact that no spurious responses were seen in HIV-uninfected subjects (Fig. 1 A). Interestingly, the responses to the tested predicted ARF epitopes and longer ARF peptides did not occur exclusively in the individuals expressing the HLA allele for which an imprint was present in that region. Although these situations were less frequent (19 out of the 27 responses detected were observed in subjects expressing either the imprint allele [n = 8] or at least an HLA supertype–matched allele [n = 11]), 8 responses were unexpected based on the HLA type of the tested individual. The recently described extensive HLA promiscuity even among optimally defined CTL epitopes and the fact that the in vitro testing was based on longer peptide sequences that may contain multiple epitopes presented by different HLA alleles likely explain the detection of these responses in the absence of the imprint HLA alleles (Goulder et al., 2000; Frahm et al., 2002; Frahm et al., 2007). Among the reactive peptides, three regions (four peptides) were targeted by >1 out of the 21 reactive individuals (Fig. 1 C). In particular, the GQQRSTLERTSKASLER (GR17 peptide) sequence was recognized by 10 individuals of whom all but 1 expressed either HLA-A*03 or an HLA-A*03 supertype allele (Table III; Sidney et al., 2008). The median magnitude of the response was 185 SFCs/106 PBMCs (range: 70–640 SFCs/106 PBMCs). This peptide spanned the site of the strongest imprint identified in this study (P = 1.78 × 10−8; q = 0.000048), which was indeed associated with an adapted polymorphism in the context of HLA-A*03. As indicated in Table II, individuals expressing the HLA-A*03 allele were significantly less likely to have a serine residue at position 241 in the +2 frameshifted integrase sequence compared with HLA-A*03–negative individuals. The HLA types of all patients with a response to GR17 are summarized in Table III. To rule out that the observed HLA-A*03 imprint originated from immune pressure on epitopes derived from other reading frames (i.e., the original Pol sequence or its +1 ARF), responses in HLA-A*03–expressing individuals to these regions were assessed. Overall, only one HLA-A*03–expressing individual mounted a response to the corresponding peptide in ARF +1. In addition, in listings from the Los Alamos HIV immunology database and in datasets from two clade B–infected cohorts with a total of >600 comprehensively tested individuals, no evidence emerges that the corresponding region in the original frame (i.e., HIV integrase 241) contains an HLA-A*03 (supertype)–restricted epitope (unpublished data; Frahm et al., 2004; Zuñiga et al., 2006). Similarly, available population-based studies of HLA footprinting provide no evidence of an A*03-associated polymorphism in the coding sequence (Rousseau et al., 2008; Brumme et al., 2009). Collectively, these data suggest that responses to the peptide encoded by the +2 ARF, not the integrase coding sequence peptide, were driving the observed imprint.
To further describe the recognized epitope within the GR17 peptide and to evaluate whether the observed imprint in ARF +2 was affecting functional CTL recognition, standard epitope mapping analyses using serial truncations of the GR17 peptide were performed (Fig. 2). Binding motif analysis suggested the presence of two potentially A*03-restricted epitopes, RTSKASLER (RR9) and RSTLERTSK (RK9; Fig. 2 B). As shown in Fig. 2 C, the optimal epitope mapped to the 9mer sequence RR9. The highly statistically significant HLA-A*03–associated ARF polymorphism observed at the population level mapped to position 6 (underlined) of this epitope (RTSKAPLER), suggesting abrogation of TCR recognition as a possible mechanism of escape (Shibata et al., 1992; Rudolph et al., 2006). Subsequent HLA restriction analysis using partly HLA-matched APCs and RR9-specific T cell lines (TCLs) confirmed the restriction of this epitope by HLA-A*03 (Fig. 2 D). To test whether sequence mutation within the RR9 epitope affected CTL recognition, the most common variants (minimal frequency of 2% in the sequences of the 765 individuals included in the population-based viral polymorphism analysis) were synthesized and tested for their ability to elicit T cell activity in RR9 responders (Fig. 3). The three tested variants were more common in A*03-positive individuals, with two of them producing a significant HLA-associated imprint in the initial analysis: RTSKAPLER (A*03-RPR9; P = 3.08 × 10−5; q = 0.0324), RTSKTSLER (A*03-RTR9; P = 2.4 × 10−4; q = 0.153), and RTSKAALER (A*03-RAR9; Fig. 3 A). Recognition of these epitope variants was then tested in the context of five HLA-A*03–expressing subjects. Neither of the subjects tested recognized the A*03-RPR9 or the A*03-RTR9. In contrast, two of the HLA-A*03–positive and the one HLA-A*03–negative but HLA-A*74–expressing individual mounted a detectable response to the A*03-RAR9 variant. Thus, the amino acid change at position 6 from a serine to an alanine (which did not appear as a common variant in the imprint analysis; Table S1) is only variably associated with escape from recognition in the HLA-A3 context (Fig. 3 B).
To demonstrate the expression and presentation of RR9 in infected cells and that the observed polymorphisms were effective immune escape variants, we engineered multiple viral constructs and assessed them in in vitro inhibition assays. We introduced different point mutations on the backbone of a laboratory strain (NL4-3), including (a) the clade B consensus variant encoding a serine (underlined) at residue 6 (RTSKASLER; RR9), (b) the most common, and putative escape form, in A*03-positive individuals encoding a proline (underlined) at that position (RTSKAPLER; RPR9), and (c) a variant containing an amino acid change at one of the HLA-binding anchors at position 9 (underlined; RTSKASLEG; RG9) to cause the loss of binding capacity to the A*0301 allele. We anticipated that the consensus variant (RR9) should be recognized by a peptide-specific T cell clone derived from an A*03-positive individual, whereas the RPR9 would escape from recognition. Similarly, the RG9 variant should be less well recognized because of reduced HLA binding. Importantly, all viral variants were designed to be synonymous in the corresponding regular reading frame. To assess viral inhibition, CD4+ T cells were infected with the different viral constructs and coincubated with effector cells, and viral replication was monitored for 7 d of culture. To avoid outgrowth of autologous virus, CD4+ T cells from an elite controller were used for these experiments. An A*03-RR9–specific CD8+ CTL clone (Fig. S1) from the same subject was used as an effector cell population and added at different E/T ratios to the infected CD4+ cells (Fig. 4). Even at an E/T ratio of 1:10, >80% of the viral replication was inhibited at day 7 as compared with infection of target cells alone when virus containing the clade B consensus sequence was used. In contrast, when using the variant virus containing the proline variant (RPR9) or the variant with the change at the anchor position that should abrogate binding of the epitope to HLA-A*03 (RG9), no relevant inhibition of viral replication was observed. Together with the variant recognition data derived from experiments with PBMCs (Fig. 3 B), the results obtained in the viral replication inhibition assay strongly suggest that the A*03-RR9 epitope is indeed expressed, processed, and presented in HIV-infected cells in sufficient amounts to sensitize these cells for CTL-mediated killing.
Different mechanisms leading to the generation of CTL epitopes encoded by ARFs have been described in the literature (for review see Mayrand and Green, 1998). In particular, the presence of upstream alternative splice sites and alternative start codons has been suggested to potentially facilitate the expression of ARF sequences (Bullock and Eisenlohr, 1996; Mayrand and Green, 1998; Schwab et al., 2004). However, none of these mechanisms that could enable or increase the expression of such frameshifted sequences has been analyzed in HIV/SIV in detail.
Because a known splice acceptor site, SA1, is located right upstream of the RR9 epitope (Arrigo et al., 1990), we first hypothesized that HIV might be making mistakes when splicing mRNA using this acceptor site. We isolated intracellular HIV mRNA from T cells infected with NL4-3 and amplified putative splice variants by nested RT-PCR using forward primers just upstream of Gag and reverse primers just downstream of HIV integrase. During PCR amplification a short (50-s) elongation time was used to selectively amplify splice variants but exclude amplification of genomic RNA. PCR amplicons were cloned into Escherichia coli, and 96 clones were sequenced and analyzed for evidence of alternative splice variants. However, all 96 sequences were identical and exhibited the expected splicing pattern (unpublished data), suggesting that alternative splicing is not the major mechanism of production of the RR9 ARF peptide.
We then investigated if initiation of translation at a start codon in the ARF upstream of the epitope could be a mechanism whereby the ARF peptide is produced in vivo. When the ARF +2 sequence was screened for potential start codons (AUG, methionine), the closest methionine was found >100 amino acids upstream of the RR9 epitope. However, the potential reading frame after this methionine was not open, as there were five stop codons between the methionine and the RR9 epitope that would abrogate expression. When searching for alternative (nonmethionine) start codons, a leucine residue just 2 amino acid residues upstream of the RR9 epitope (Fig. 2 A) was identified and found to be extremely conserved in the British Columbia cohort (not depicted). Leucine has previously been described to be able to act as an alternative start codon (Schwab et al., 2004). To investigate if the RR9 epitope would indeed be processed and presented from such a short precursor protein and whether this leucine residue in fact acted as an alternative start codon, we designed specific viral variants on the backbone of an NL4-3 virus containing the RR9 epitope. The leucine residue was changed either to a regular start codon (methionine; L→M) or an amino acid that is not described as an alternative start codon (valine; L→V). We hypothesized that if the leucine indeed acts as an alternative start codon for this epitope, the change to a regular start codon would increase its expression and hence its inhibition by a specific T cell clone. On the other hand, the variant with the valine should not be expressed at all and, therefore, we expected to see no inhibition of viral replication at all. These mutations were again carefully designed to be synonymous in the regular reading frame and, therefore, not alter the sequence integrity of the original reading frame (Fig. 5 A). Using these two viral variants in viral inhibition assays and comparing viral inhibition to the consensus variant, we demonstrated that the L→M variant was strongly inhibited (Fig. 5 B). Interestingly, this inhibition exceeded the suppression seen with the virus carrying the leucine (0.9 vs. 3.1 log at an E/T ratio of 1:5 at day 7; Fig. 5 D) and, therefore, suggests that the RR9 epitope is more highly expressed in the context of a regular start codon. On the other hand, the L→V variant was, as expected, not inhibited at all (Fig. 5 C). Collectively, these data indicate that expression of the alternative leucine is in fact a possible mechanism for RR9 epitope expression in HIV-infected cells.
RNA viruses with relatively small genomes, such as HIV, human T lymphocyte virus, hepatitis B virus, and hepatitis C virus, have found ways to increase the genetic information of their genome by encoding essential proteins in different forward or backward reading frames (Jacks et al., 1988; Xu et al., 2001; Gaudray et al., 2002). Through single or double nucleotide deletion or insertions and by the presence of alternative start codons, alternative splice sites, or possibly other mechanisms, highly variable pathogens such as RNA-based HIV and hepatitis C virus may consistently produce frameshifted mRNA sequences, giving rise to alternative viral antigens that may be processed and presented by host HLA molecules. Indeed, two recent reports, one in HIV and one in SIV, indicate that antigens resulting from ARF translation can serve as a source of CTL epitopes against which the host can mount a cellular immune response (Cardinaud et al., 2004; Maness et al., 2007). The present study expanded on these observations and addressed whether and how strongly frameshifted sequences could be under immune selection pressure on a population level. The data also document that common HLA allele–driven epitope variants can be effective CTL escape mutations and can affect CTL recognition of virally infected cells. Finally, a potential mechanism for out-of-frame epitope expression, namely the use of an alternative start codon, is also supported by our data. Collectively, the data provide for the first time evidence that ARF-based epitope sequences cannot only induce immune responses comparable in breadth to those observed against regulatory HIV proteins, but that these HLA-restricted responses specific for an ARF-encoded epitope are also able to inhibit viral replication in vivo. Furthermore, we demonstrate that HLA-restricted immune pressure exerted on ARF peptides is apparently strong enough to drive HIV evolution on a population level. Indeed, within the studied HLA-A*03–restricted ARF peptide, we document and functionally validate an escape mutation occurring at position 6 of this ARF epitope, which does not affect the coding sequence of HIV integrase. The results are thus consistent with adoptive CTL transfer experiments in mouse retroviral infection and provide human experimental data in support of recent observations in the SIV model (Ho and Green, 2006; Maness et al., 2007).
Since the first report of HLA footprints in HIV sequences (Moore et al., 2002), the bioinformatic approaches to identify these imprints have been refined and take HIV founder sequence effects, HLA linkage disequilibrium, and HIV sequence covariation into account (Bhattacharya et al., 2007; Carlson et al., 2008; Brumme et al., 2009). Using such a recently developed refined approach, we identified 64 discrete HLA-driven imprints across the HIV gag, pol, and nef spanning ARF +1 and +2 sequences (Carlson et al., 2008). Their distribution across the three proteins (Table I) is shifted as more ARF imprints were observed in gag and pol regions than in nef, whereas first-frame imprints were more common in Nef (Brumme et al., 2009). For the present study, where we focused on the 20 best-supported imprints for peptide synthesis, this led us to test more gag-ARF and pol-ARF than nef-ARF imprints for functional responses (Table II). Again, compared with analyses in the regular coding frame, this selection is unlikely to have reduced or overestimated the breadth of detectable responses, as the imprints reported in the first frame were located with comparable frequency in previously defined epitopes across the three proteins tested (unpublished data). Also, compared with response rates to regular coding frame–based screenings (i.e., traditional OLP-based tests), the observed frequency of responses to ARF peptides is comparable to the frequency at which regulatory HIV proteins and the HIV protease protein are being targeted (Frahm et al., 2004; Zuñiga et al., 2006). The magnitude of responses is, however, clearly below the level that has been observed for regular HIV protein–specific responses (Frahm et al., 2004; Zuñiga et al., 2006). As ARF-derived epitopes are probably expressed and presented at a lower density than some of the presumably more abundantly produced immunodominant Gag-derived epitopes, a lower magnitude of the CTL response would not be surprising. In addition, responses with median frequencies as reported in this study are comparable to infections other than HIV, which is known to induce particularly strong responses (Bihl et al., 2005). The frequency of responses is also similar to what Cardinaud et al. (2004) have reported for a single HLA-B*07–restricted response in highly active antiretroviral therapy–treated individuals. Their HLA-B*07–restricted response was, however, not included in our screening, as no HLA-B*07–associated imprint in the vicinity of the described ARF epitope was identified, possibly either because of a lack of statistical power in our cohort for this allele or because of inconsistent or diverse escape patterns from this response.
A frequent limitation in HLA imprint studies is that effective CTL escape by the observed mutation is assumed rather than experimentally demonstrated. In this study, we assessed variant recognition, both on a peptide basis as well as by expressing variant viral sequences. As the data demonstrate, the common escape variant in position 6 of the RR9 epitope abrogated CTL recognition and control of viral replication. Effective CTL escape by such a mutation that is enriched in individuals expressing the restricting HLA-A*03 allele lends further strong support to the in vivo relevance of this mutation and the effectiveness of the CTL immune pressure against the RR9 epitope.
HLA footprint analyses can only provide a partial picture of the host immune response to HIV, and it is difficult to judge the in vivo relevance of ARF-derived responses or to estimate its total contribution to the global immune response to HIV from such analyses. Aside from simple statistical considerations, such as insufficient power because of low allele frequency, fixation or near-to-fixation of escape variants in the population, and differential kinetics of reverting mutations, the current analysis is likely to underestimate the true breadth of responses because of several additional reasons. A basic issue is that frameshifts or single nucleotide insertion in the viral genome may occur repetitively, and a final epitope sequence could contain sequences of more than one reading frame. Although some positions in the genome may be more or less frequently affected by frameshifts, it is thus possible that epitopes exist that are encoded by an essentially unpredictably vast array of random mosaic epitope sequences composed of more than one reading frame. The identification of such potential epitopes based on HLA imprints is difficult, as all combinations of possible frameshifts in the vicinity of the imprint would need to be synthesized as test peptides. Despite this potential complexity, however, our data also indicate that HIV-infected cells seem to produce and present ARF-encoded peptides consistently enough across individuals to result in population-based immune pressure reflected as population-wide HLA footprints. Further documentation of how consistently HIV-infected cells may present ARF-encoded peptide sequences may also come from epitope elution studies using HIV-infected cells that may help to identify epitopes with partial sequence matches in different reading frames (Hickman et al., 2003).
Apart from statistical power to identify specific HLA allele–associated imprints, ex vivo immune analyses will only reveal responses if they are present in an appreciable number of subjects. Although some of the most immunodominant known HIV epitopes are targeted by >50% of individuals expressing the respective restricting HLA allele, many responses are found less frequently and are only detected if the test cohorts are massively expanded so that even infrequent alleles are represented several times (Bihl et al., 2006). In addition, HLA imprints in ARF that caused a nonsynonymous change in the first, coding frame were excluded in the present study, assuming that the observed change was driven by immune selection pressure against an epitope in the original HIV protein. Although this may usually be the case, it is a conservative assumption and may have underestimated the true frequency of ARF-based CTL targets. On the other hand, it cannot be excluded that specific codon usage and preferred RNA structure for amino acids in the first frame may have driven some changes in the ARF while being synonymous in the regular coding frame.
The in vivo relevance of ARF-encoded epitopes will also depend on the likelihood of and the mechanisms involved in their production in virally infected cells. Data from a recent study suggest the possibility of ribosomal slippage being a potential important mechanism given the RNA structure of HIV (Watts et al., 2009). However, to date, it still remains unclear to what level ARF-derived epitopes in HIV/SIV are a degradation product of functional proteins or RNA sequences encoded by the frameshift or antisense sequence (Miller, 1988; Landry et al., 2007), or are rather simply defective ribosomal products that result from accidental frameshift and are rapidly degraded (Yewdell and Nicchitta, 2006). The data shown in this study do not resolve this point but indicate that the use of alternative start codons could likely help the production of ARF epitopes, as the replacement of leucine with valine showed an abrogated suppression of viral replication and, presumably, RR9 presentation. Although the substitution of leucine to methionine caused significantly improved suppression of viral replication, the lower level expression of the leucine is probably sufficient to sensitize infected cells for CTL recognition. This is in line with data by Sykulev et al. (1996) showing that a single peptide–MHC complex on a target cell might be sufficient to elicit a cytolytic T cell response. Also, as the relative magnitude of responses and the relative abundance of presented epitopes do not necessarily correlate with in vivo protection (Gallimore et al., 1998), the expression level of the RR9 epitope and the magnitude of the response are likely not the only factors that determine its in vivo relevance. Regardless of this open question, the present study is the first demonstration of population-wide viral adaptation to immune selection pressure exerted by CTL responses targeting HLA class I–restricted epitopes encoded by HIV frameshifted sequences. These responses lead to effective CTL escape variants in vivo and were able to inhibit viral replication in vitro. Thus, they show all the characteristics that are commonly seen as important attributes of an effective HIV-specific CTL immunity and may be considered for inclusion in HIV vaccine design.
The study was approved by the respective local ethics boards (Partners Institutional Review Board and Providence Health Care/University of British Columbia Research Ethics Board).
Plasma RNA from 765 treatment-naive, chronic, predominantly HIV clade B–infected (97.5%) subjects enrolled in the British Columbia HOMER Study was isolated and sequenced as previously described (Hogg et al., 2001). In brief, HIV RNA was extracted from a pretherapy plasma sample and HIV gag, protease, RT (codons 1–400), integrase, and nef were amplified using nested RT-PCR and bulk sequenced on an automated DNA sequencer (ABI 3700; Applied Biosystems). For all genes, data on at least 500 individuals were available (gag, n = 567; protease/RT, n = 532; integrase, n = 582; and nef, n = 686). HLA class I typing was performed by sequence-based typing as previously described (Brumme et al., 2007, 2008). Accession numbers of the sequences are listed in the respective publications (Brumme et al., 2007, 2008).
Gag, Pol, and Nef sequences were aligned to HXB2 and translated into the frameshifted reading frames +1 and +2. HLA-associated polymorphisms in the frameshifted sequences were identified using previously published, phylogenetically informed methods, which additionally correct for HLA linkage disequilibrium as well as HIV codon covariation (Carlson et al., 2008). Statistical significance is reported using q-values, which estimate the false discovery rate for each comparison (Storey and Tibshirani, 2003). We used a threshold of q ≤ 0.2, meaning that we expect a false-positive proportion of 20% among identified associations. To avoid identifying false-positive HLA associations in ARFs that could reflect immune pressure on the regular ORF, all HLA associations in the +1 and +2 ORFs were excluded when they were (a) associated with a nonsynonymous change at the same position in the first frame, (b) had an imprint for any other allele within ±2 amino acids in the original reading frame, or (c) had a known optimal epitope in the original reading frame that was restricted by the same HLA allele for which the imprint was observed for the ARF. In addition, all regions with imprints in the +1 and +2 ORFs that had a length of <10 amino acids between two stop codons were excluded from further analysis because of a low probability that these epitopes were in fact expressed all the way in the same frame and would hence not be discovered by a peptide screen.
To test for immune responses to ARF epitopes, 85 untreated chronically HIV-infected individuals were recruited from hospitals in the Boston area. 32 HIV-negative individuals were included as controls. From all individuals, fresh PBMCs were isolated from whole blood using density gradient centrifugation and used in direct ex vivo ELISPOT assays as previously described (Frahm et al., 2004). In brief, 100,000 fresh PBMCs were incubated with peptides in pools of four peptides at a final concentration of 28 µg/ml in 96-well polyvinylidene difluoride plates (Millipore) precoated with the anti–IFN-γ mAb 1-D1K (Mabtech) according to the manufacturer’s instructions. A positive (PHA) and at least four negative (no peptide) controls were included for each individual tested. ELISPOT results were expressed as SFCs/106 input cells. The threshold for a positive response was defined as at least 50 SFCs/106 input cells and responses exceeding three times the mean of negative wells. Peptides were synthesized as listed in Table II. Specific epitopes with an HLA-binding motif for the observed imprint were predicted using epitope prediction algorithms (available at http://atom.research.microsoft.com/bio/epipred.aspx [Heckerman et al., 2007] and www.hiv.lanl.gov/content/immunology). In brief, for each HLA-associated polymorphism, a consensus sequence was constructed from sequences that contained the predicted nonadapted form of the association, and Epipred was used to predict the likeliest epitope (9–11mer) within a window extending ±13 amino acids from the observed HLA-associated polymorphism or until the first consensus stop codon. In cases where the imprint was not included in the predicted epitope, OLPs of 17–18 amino acids in length were designed and included in the screening (Fig. 1 C).
The optimal epitope length was determined using sequential peptide truncations in serial 10-fold dilutions ranging from 100 to 0.0001 µg/ml (Frahm et al., 2007). Freshly isolated or frozen, unexpanded PBMCs were used in standard IFN-γ ELISPOT assays. The functional avidity, defined as the antigen dose needed to elicit a concentration indicating half-maximal response (SD50%), was determined. The shortest peptide with the lowest SD50% was considered the optimal epitope (Frahm et al., 2008). HLA restriction was determined using standard ELISPOT assays and epitope-specific TCLs. TCLs were used for restriction analysis after 10–14 d of peptide-specific in vitro expansion. EBV-transformed, partly HLA-matched B cell lines (BCLs) were used as APCs for restriction analysis, as previously described (Goulder et al., 2001). BCLs were incubated for 1 h with the optimal peptides at 20 µg/ml, followed by extensive washing. BCLs without peptide were used as negative controls. Peptide-specific TCLs (E/T ratio of 1:1) and 2 µg/ml of anti-CD28 and -CD49d co-stimulatory antibodies (BD) were added and incubated for 6 h at 37°C. For the last 5 h of incubation, 10 µg/ml Brefeldin A was added. Cells were fixed and permeabilized using Cytofix/Cytoperm (BD) according to the manufacturer’s instructions, and the percentage of responding cells was determined using anti-CD3–PerCP, anti-CD4–PE, anti-CD8–allophycocyanin, and anti–IFN-γ–FITC antibodies (all from BD).
Viruses harboring single or multiple point mutations in ARFs within and/or surrounding the A*03-RR9 epitope were created on an NL4-3 backbone using site-directed mutagenesis (QuikChange XL; Agilent Technologies) according to the manufacturer’s instructions. The viral variants generated and used in in vitro inhibition assays are summarized in Fig. 4 A and Fig. 5 A. Importantly, mutagenesis primers were designed to only cause synonymous changes in the primary ORF, meaning that the engineered point mutations did not disrupt the regular reading frame. NL4-3 contains the sequence of the escape variant (RTSKAPLER). Therefore, we first created a virus variant that carries the clade B consensus sequence. Based on this P→S variant, the other viruses were created. The following primer sequences were used: P→S variant, 5′-CCAGTTTGGAAAGGACCAGCAAAGCTTCTCTGGAAAGGTGAAGGGGCAGTAG-3′ and 5′-CTACTGCCCCTTCACCTTTCCAGAGAAGCTTTGCTGGTCCTTTCCAAACTGG-3′; R→G variant, 5′-CCAGTTTGGAAAGGACCAGCAAAGCTTCTCTGGAGGGTGAAGGGGCAGTAGTAATACAAG-3′ and 5′-CTTGTATTACTACTGCCCCTTCACCCTTCCAGAGAAGCTTTGCTGGTCCTTTCCAAACTGG-3′; L→M variant, 5′-TTATTACAGGGACAGCAGAGATCCAGTATGGAAAGGACCAGCAAAGCTTCTCTGGAAAGGT-3′ and 5′-ACCTTTCCAGAGAAGCTTTGCTGGTCCTTTCCATACTGGATCTCTGCTGTCCCTGTAATAA-3′; and L→V variant, 5′-TTTATTACAGGGACAGCAGAGATCCAGTGTGGAAAGGACCAGCAAAGCTTCTCTGGAAAGGT-3′ and 5′-ACCTTTCCAGAGAAGCTTTGCTGGTCCTTTCCACACTGGATCTCTGCTGTCCCTGTAATAAA-3′.
Viral inhibition assays were performed as described previously (Yang et al., 1996). In brief, autologous CD4+ T cells were used as target cells after expansion from PBMCs using 1 µg/ml of a bispecific anti-CD3/8 mAb in R10-50 media (RPMI 1640 media supplemented with 10% fetal calf serum, 1% l-glutamine, and 50 U/ml IL-2) for 5 d (Chen et al., 2009). Cells were used without further CD4 separation for infection with the respective viruses. Infection was performed by incubating CD4+ T cells for 4 h with the different HIV stocks at a multiplicity of infection of 0.01 followed by extensive washing. 100,000 target cells were added per well of a round-bottom 96-well plate and incubated with an A*03-RR9–specific CD8+ clone at E/T ratios of 1:1, 1:5, 1:10, and 1:50. Cells were co-cultured for 7 d in 200 µl R10-50. At days 3, 5, and 7, 100 µl of the supernatant was replaced by fresh media. p24 was quantitated by a standard quantitative ELISA (commercial kit; Dupont) according to the manufacturer’s instructions and as described previously (Brander et al., 1999; Jones et al., 2003; Chen et al., 2009).
Epitope-specific T cell clones were generated from a peptide-specific TCL by selection of epitope-specific CD8+ T cells using an IFN-γ capture assay according to the manufacturer’s instructions (Miltenyi Biotec) followed by live single-cell sorting of CD3+ CD8+ CD14− CD19− IFN-γ+ cells on a FACSAria (BD) using a 70-µm nozzle at 70 psi. The single-sorted cells were expanded on irradiated feeder cells with 0.5 µg/ml of an anti-CD3 antibody (12F6; Jones et al., 2003) in R10-50. Flowcytometric polyfunctionality stainings (as described in Bihl et al., 2007) showed that the cells produced IFN-γ (>85%), TNF (>95%), and MIP-1β (>99%) and expressed CD107a (>98%; Fig. S1).
Table S1 provides the complete list of individual HLA associations with HIV sequence polymorphisms with a q-value <0.2, independent of their respective location in relation to associations seen in the primary ORF. Tables S2 and S3 provide HLA types of the HIV-infected and -uninfected individuals, respectively, included in the study. Fig. S1 shows the intracellular cytokine staining of an A*03-RR9–specific CD8+ T cell clone derived from single-cell sorting in response to stimulation with A*03-RR9 peptide. Online supplemental material is available at http://www.jem.org/cgi/content/full/jem.20091808/DC1.
We thank Dr. A. Khatri for peptide synthesis and J. Sela for excellent laboratory assistance. C.T. Berger thanks C. Hess for ongoing support.
The work was supported by a grant from the National Institutes of Health (R01 A1-067077 to C. Brander and D.E. Kaufmann). C.T. Berger is supported by a postdoctoral fellowship from the Swiss National Science Foundation (PBBSP3-123141) and by the Freiwillige Akademische Gesellschaft Basel. Z.L. Brumme was supported by a postdoctoral fellowship and, currently, a New Investigator award from the Canadian Institutes for Health Research. C. Brander is an Institucio Catalana de Recerca i Estudis Avancats Senior Research Professor at the Irsicaixa AIDS Research Institute.
The authors have no conflicting financial interests.