Abstract
Background
Vaccine regimens using different agents for priming and boosting have become popular for enhancing T cell and Ab responses elicited by candidate HIV/AIDS vaccines. Here we use a simian model to evaluate immunogenicity and protective efficacy of a recombinant modified vaccinia Ankara (MVA) vaccine in the presence and absence of a recombinant DNA prime. The simian vaccines and regimens represent prototypes for candidate HIV vaccines currently undergoing clinical testing.
Method
Recombinant DNA and MVA immunogens expressed simian immunodeficiency virus (SIV)mac239 Gag, PR, RT, and Env sequences. Vaccine schedules tested inoculations of MVA at months 0, 2, and 6 (MMM regimen) or priming with DNA at months 0 and 2 and boosting with MVA at months 4 and 6 (DDMM regimen). Twelve weekly rectal challenges with the heterologous SIV smE660 were initiated at 6 months following the last immunization.
Results
Both regimens elicited similar 61–64% reductions in the per challenge risk of SIVsmE660 transmission despite raising different patterns of immune responses. The DDMM regimen elicited higher magnitudes of CD4 T cells whereas the MMM regimen elicited higher titers and greater avidity Env-specific IgG and more frequent and higher titer SIV-specific IgA in rectal secretions. Both regimens elicited similar magnitudes of CD8 T cells. Magnitudes of T cell responses, specific activities of rectal IgA Ab, and the tested specificities for neutralization and antibody-dependent cellular cytotoxicity did not correlate with risk of infection. However, the avidity of Env-specific IgG had a strong correlation with the per challenge risk of acquisition, but only for the DDMM group.
Conclusions
We conclude that for the tested immunogens in rhesus macaques, the simpler MMM regimen is as protective as the more complex DDMM regimen.
Keywords: Vaccine, Immunodeficiency virus, Simian immunodeficiency virus, DNA vaccine MVA vaccine, avidity in protection
Introduction
In the past 20 years, heterologous prime-boost vaccination regimens have become a popular method for enhancing the elicitation of Ab and T cell responses by recombinant DNA, viral-vectored and protein vaccines[1, 2]. In a heterologous regimen, one agent is used to prime the immune response, and a second, to boost the immune response. The priming and boosting agents share immunogens but are otherwise immunologically distinct. Immune responses elicited by the 1st agent focus and augment the immune response on the immunogen common to both agents. When used together, agents that elicit low titer immune responses in homologous priming and boosting regimens, achieve higher titer responses. The technique has been particularly popular for eliciting T cell responses[3, 4], but can also be effective at enhancing Ab responses[5] [6].
In 2002, using SHIV-89.6 immunogens, we reported that MVA immunizations in the presence or absence of a DNA prime elicited different patterns of immune responses but similar patterns of protection for a high dose intrarectal SHIV-89.6P challenge[7]. Here, we use a SIVmac239 (SIV239) MVA vaccine in the presence and absence of a SIV239 DNA prime and again find similar patterns of protection; this time for a repeated SIVsmE660 (SIVE660) rectal challenge, despite the elicitation of different patterns of immune responses [8–10]. Our results again show the DNA prime enhancing T cell responses and the MVA-only immunizations eliciting higher Ab responses. Interestingly, the higher Env-specific Ab responses in the MVA-only group did not translate into better prevention of acquisition. We discuss factors that could have caused differences in the protective activity of Ab elicited by the DDMM and MMM regimens.
1 Materials and Methods
1.1 Vaccines
DNA vaccine plasmid Rama37 expresses SIV239 Gag, PR, RT, Env, Tat, and Rev from a single RNA by subgenomic splicing and frameshifting. A single recombinant MVA designated DR1 or MVASIVgpe expressed SIV239 Gag, PR, RT and Env [11] [12]. The MVA vaccine expressed virus like particles whereas the over-expressed Gag in the DNA vaccine formed intracellular aggregates as well as virus like particles. The DNA vaccine expressed the complete gp160 form of Env and the MVA vaccine encoded a gp150 form of Env that had been truncated for 146 amino acids at the C-terminus of its gp41 subunit to enhance expression on the plasma membrane of infected cells and stabilize the insert[13].
1.2 Study Design
Animal studies were conducted at the Yerkes National Primate Research Center and approved by the Emory University Animal Care and Use Committee. Young adult rhesus macaques of Indian origin, pre-screened to preclude the presence of the Mamu-A*01 and limit the presence of the Mamu-B*08 and B*17 histocompatibility types to no more than one per group [9], were randomized into groups of 8 each. Immunization regimens were the same as those being used in human trials[14]. For DNA/MVA immunizations, 3 mg of the DNA vaccine (D) was administered at weeks 0 and 8 and 1×108 plaque forming units of the MVA (M) vaccine at weeks 16 and 24 (DDMM regimen). For MVA priming and boosting, 1×108 plaque forming units of the MVA vaccine was administered at weeks 0, 8 and 24 (MMM regimen). All vaccinations were delivered intramuscularly by hypodermic needle and syringe. Twelve weekly intrarectal challenges were initiated 6 months after the final MVA immunization using 5000 tissue culture infectious doses50 (1.8×107 copies of viral RNA) of the SIVE660-Hirsch2001 stock as previously described[15]. Unvaccinated controls included nine 2–4 year old male Indian rhesus macaques that were negative for Mamu A*01, B*08 and B*17, which underwent simultaneous challenge with the two vaccine groups; six 2–4 year old Indian rhesus males positive for Mamu A*01 that were challenged in an overlapping trial at the Yerkes Primate Research Center, and eight 10–13 year old Indian rhesus with mixed A*01 and B*17 Mamu types challenged at the National Cancer Institute under the same conditions and with the same stock. TRIM5α genotype was determined by sequence analysis of PCR fragments [16].
1.3 Humoral immune assays
Titers of Env-specific IgG and avidity indices, or the fraction of bound IgG resisting a 1.5 M NaSCN wash × 100, were determined using ELISAs with SIV239 Env captured from VLPs and SIVE660 ENV captured from virions as antigens [17]. Concentrations of Env-specific; Gag, Pol-specific and total IgA in rectal secretions [18]were determined by ELISA using plates coated respectively with rgp130mac251 (Immunodiagnostics, Woburn, MA), SIV lysate (Advanced Biotechnologies Inc., Columbia, MD) and goat anti-monkey IgA (AlphaDiagnostics, San Antonio, TX) [15, 19]. Neutralization assays were conducted using pseudovirions or infectious viruses and a luciferase reporter gene assay in TZM-bl cells or infections virus and M7-luc cells[20]. Assays for antibody dependent cellular cytotoxicity (ADCC) were conducted using SIVmac239 gp120 (Immune Tech Corp) to coat CEM.NKRCCR5 cells[21].
1.4 Cellular immune assays
Cellular immune assays and breadth of responses were conducted using stimulations of PBMCs with pools of peptides (15 mers overlapping by 11) matched to the SIV239 immunogen [17]. Responding cells were scored using intracellular cytokine staining (ICS)[22]. Breadth of responses was tested using 13 Gag and 11 Env peptide pools. Boolean analysis was performed to measure polyfunctionality[23].
1.5 T cells in rectal biopsies
Approximately 15–20 colorectal pinch biopsies were digested with 200U/ml of collagenase IV (Worthington; Lakewood, NJ) with agitation for 2hr at 37°C. Tissue pieces were further dissociated using a syringe with 18- and then 16-gauge blunt-end needles. The resultant cell suspension was filtered with a cell strainer and used for flow cytometric analysis.
1.6 Statistics
Comparisons of immune responses between groups were done using the Wilcoxon test (comparisons between 2 groups) and Kruksal-Wallis test (comparisons between 3 groups). Correlations between immune responses and the number of challenges to infection used the Spearman test. Comparisons of number of challenges until infection between groups were done using exact log-rank tests. Models of the protective effect of vaccination were fit to data as previously described and Akaike Information Criteria (AIC) used to select the most parsimonious model[24, 25]. All tests were two tailed with p<0.05 considered significant. Analyses were not corrected for multiple comparisons.
2 Results
2.1 Vaccine trial and elicited T cell responses
Groups of 8 rhesus were immunized with two inoculations of the SIV239 DNA vaccine at weeks 0 and 8 followed by two inoculations with the SIV239 MVA vaccine at weeks 16 and 24 (DDMM regimen) or three MVA inoculations at weeks 0, 8 and 24 (MMM regimen). In the DDMM group, T cell responses were not detected until after the 1st MVA inoculation, at which time both CD4 and CD8 T cells achieved their maximal magnitudes with medians of 1.5% of total CD4 T cells and 0.09% of total CD8 T cells (Fig. 1, A and C). For the MMM regimen, both CD4 and CD8 T cells were near maximal magnitudes following the 1st MVA immunization and peaked with medians of 0.19% of total CD4 T cells and 0.13% of total CD8 T cells following the 2nd MVA immunization (Fig. 1, B and D). The MMM regimen elicited the highest CD4 response early in the regimen (2 and 9 weeks in the trial), whereas the DDMM regimen elicited the highest CD4 response late in the regimen (17, 25 and 37 weeks in the trial) (Fig. 1A and B). In contrast, the MMM regimen raised the highest CD8 responses both early and late in the trial (2, 9 and 37 weeks), while both regimens had similar magnitudes of responses following the final MVA boost (week 25) (Fig. 1C and D).
The highest magnitude CD4 and CD8 responses also had the greatest breadth (Fig. 2A and B). Following the 1st MVA boost In the DDMM regimen, when elicited CD4 cells were much higher than elicited CD8 T cells, CD4 responses had a median breadth of 9.5 pools and CD8 responses a median breadth of 1.5 pools. These breadths increased to medians of 12 pools for the CD4 response and 4.5 pools for the CD8 response following the 2nd MVA boost. In contrast, for the MMM regimen, where magnitudes of responses were overall similar, CD4 responses had median breadths of 4.5 and 3 pools respectively after the 1st and 2nd MVA immunizations; and CD8 responses, median breadths of 4 pools following both the 2nd and 3rd MVA boosts. For both regimens, the T cell responses were balanced between Gag and Env (Fig. 2, C and D).
Responding cells were analyzed for patterns of co-production of IFN-γ, IL-2 and TNF-α (Fig. 3). The DNA primed-CD4 responses showed higher percentages of IFN-γ, IL-2 and TNF-α triple producers than the MMM regimen (55% as opposed to 26%) whereas the MMM elicited responses showed higher percentages of IFN-γ and TNF-α double producers (27% as opposed to 16%), and IFN-γ single producing cells (20% as opposed to 6%) than the DDMM regimen (Fig. 3A). For both regimens, the most frequent pattern of cytokine co-production for CD8 T cells was co-production of IFN-γ and TNF-α: 43% of the DDMM-elicited CD8 and 63% of the MMM-elicited CD8 cells coproduced IFN-γ and TNF-α (Fig. 3C). Despite this similarity, the functionality of the CD8 cells elicited by the 2 regimens differed in 4 out of 7 tested patterns of cytokine co-production.
2.2 Vaccine-elicited antibody responses
The MVA-only immunizations raised by far the stronger antibody responses (Fig. 1E–F). In contrast to T cell responses that reached their highest levels in blood early (MMM) or midway (DDMM) through immunization regimens, the titers of Env-specific IgG increased with each boost. Following the last immunization, the MMM regimen had elicited a median titer of 14 μg per ml; and the DDMM regimen, a median titer of 6.6 μg per ml of Ab specific for the SIV239 Env of the immunogen (Fig. 4A). Titers of binding Ab for the E660 Env of the challenge virus were about 2-fold lower(Fig. 4A).
The MMM immunizations also elicited much higher avidity Env-specific IgG than the DDMM immunizations (Fig. 4B). The avidity index for the MMM immunizations increased from a mean of 40 post the 2nd MVA boost to a mean of 55 post the 3rd MVA boost. Interestingly, the avidity indices for the immunizing and challenge Env were similar for the MMM-elicited Env-specific IgG (indices of ~54) whereas, for the DDMM-elicited Ab, they were higher for the challenge Env (index of 36) than for the immunizing Env (index of 29) (p=0.0008).
Despite the differences in titers and avidity of elicited Env-specific IgG, the DDMM and MMM immunizations elicited overall similar titers of neutralizing Ab (Fig. 4C). Both regimens elicited neutralizing Ab for tier 1 (easy to neutralize) viruses (Fig. 4C) whereas neither raised detectable responses for tier 2 (harder to neutralize) viruses (data not shown)[26]. A HIV-2 virus (7312A/V33M) developed to test for the presence of neutralizing Ab for the CD4i site in the presence of sub-inhibitory doses of soluble CD4 scored for similar low activities in the presence and absence of sCD4 indicating that antibodies to the CD4i site had not been induced[27]. The SIVE660 stock grown on CEMx174 cells, which exhibits tier 2 characteristics, did not score in the TZM-bl assay but did score at low levels when assayed on M7-luc cells (data not shown).
ADCC activity was measured for sera harvested at peak responses and pre-challenge. This activity was significantly higher for pre-challenge sera from the MMM group (Fig. 4D).
The MMM regimen also elicited higher IgA responses in rectal secretions than the DDMM regimen (Fig. 4E and F). Env-specific IgA was detected in 5 of 8 MMM vaccinated animals but in only 1 of 8 DDMM vaccinated animals; Gag,Pol specific IgA scored in 7 of 8 MMM vaccinated animals but none of the DDMM group. The IgA responses persisted within 2-fold of their peak in memory, whereas the median levels of SIV-specific IgG had declined by about 5-fold by week 37.
2.3 Repeat dose rectal challenge
A repeat dose rectal challenge with 5000 TCID50 of the heterologous SIVE660 was initiated at 6 months after the last MVA immunization. To evaluate the consistency and potential effects of Mamu type and age on the challenge, we compared the results from 3 independent challenge studies in Indian rhesus of different ages and Mamu type conducted at two different institutions under the same conditions with the same SIVE660 stock. The data from these three studies showed no differences in acquisition curves (Fig. 5A). To increase the power of the current study we have combined data from the 3 control groups for a total group size of 23.
Kaplan-Meier curves for the prevention of acquisition were similar for the DDMM and MMM regimens (Fig. 5B). Whereas 22 out of 23 of the unvaccinated animals were infected by the 6th challenge, only 3 out of 8 MMM animals and 5 out of 8 DDMM vaccinated animals had acquired virus following the first 6 challenges. By the 12th challenge, the one remaining unvaccinated animal was infected whereas in both vaccine groups two out of 8 animals remained uninfected. The exact log-rank test indicates a significant difference between the control and DDMM group (p=0.01), and between the control and the MMM group (p=0.004), but not between the DDMM and MMM groups (p>0.05).
In modeling the protective effect for both regimens, the smallest AIC values were achieved by assuming the vaccines had a leaky effect and there was no heterogeneity between animals in susceptibility. For this model, the estimated probability of infection per challenge was 0.31 for an unvaccinated animal and 0.12 for DDMM vaccinated animals and 0.11 for MMM vaccinated animals corresponding to 61% (95% CI 0.15.–0.83) and 64% (95% CI 0.14–0.76) reductions of the per challenge infection risk due to DDMM or MMM vaccination respectively.
Analyses for levels of post challenge virus and loss of rectal CD4 T cells revealed no significant differences between the vaccine groups and the unvaccinated group (Fig. 5C and D). For these analyses, only the 9 animals in the simultaneously challenged group were used as unvaccinated controls because post infection data is subject to Mamu-restriction[28, 29].
2.4 Post infection immune responses
By two weeks post infection, the vaccinated and unvaccinated animals had similar magnitudes of SIV-specific T cell responses but highly dissimilar Env-specific Ab responses (Fig. 6). Env-specific IgG and IgA responses were 50-fold higher in the vaccinated groups and remained higher for the next 6 months. Despite the difference in pre-challenge IgA responses, the two vaccine regimens had similar tempos and heights for their anamnestic IgA responses.
Although the post infection T cell response did not show differences in magnitudes, they did show differences in functionality (Fig. 3B & D). For CD8 T cells, some of these differences were the same as those seen post vaccination.
2.5 Correlations
In the DDMM group, the number of exposures until infection correlated directly with the avidity of the Env-specific IgG response for the E660 Env of the challenge virus (r=0.9, p<0.0001)(Fig. 7A)[15]. This same correlation was not seen for the higher avidity Env-specific IgG elicited by the MMM vaccinations (Fig. 7B). Risk for infection for the DDMM group correlated with the avidity of the response for the E660 Env of the challenge virus, but not with the avidity for the 239 Env of the immunogen (data not shown). No correlations were found between the number of challenges to infection and neutralizing activity (at peak response), ADCC (either at peak response or prechallenge), the presence of rectal IgA (at peak response), and the magnitudes and breadths of total, Gag, or Env T cell responses (post the 1st and 2nd MVA boosts for the DDMM regimen and post the 2nd and 3rd MVA inoculations for the MMM regimen). Data for individual animals can be seen in supplementary Table 1. Genotyping of the study macaques for TRIM5α alleles suggested that Trim5 had not played a role in prevention of infection (Fig. 7C) [16].
2.6 Discussion
The SIV239 DDMM and MMM vaccine regimens raised similar levels of protection against a repeated SIVE660 rectal challenge despite different patterns of immune responses. Analyses for transmission risk were most consistent with a leaky vaccine effect in which the DDMM group had a 61% lower chance and the MMM group a 64% lower chance of infection at each challenge than the unvaccinated group.
For the DDMM regimen, the avidity of vaccine-elicited IgG for the Env of the SIVE660 challenge was a strong correlate for reduced risk of infection. Acquisition did not occur in the two animals with avidity indices of >40. Thus, an approach to increasing protection in the DDMM regimen would be to increase the avidity of the Env-specific IgG by an additional MVA boost [17, 30]. Increased avidity can also be achieved by priming with a DNA vaccine that co-expresses GM-CSF with viral proteins [15]. The association between avidity and protection presumably reflects Ab functions, which depend on the affinity of Ab binding. Such functions include the breadth and strength of neutralizing activity [31] as well as Fc-mediated activities such as ADCC, the activation of complement-mediated lysis, opsonization and phagocytosis, and antibody-dependent virus trapping [32–34].
In contrast to the DDMM regimen, the MMM regimen did not elicit Ab with protective avidity. In the MMM group, all of the animals had avidity indices above the protective index for the DDMM group, yet only two remained uninfected. We suggest that this reflects differences in conformational and linear epitopes displayed by the full length gp160 Env expressed by the DNA vaccine and the C-terminal truncated gp150 Env expressed by the MVA[13]. C-terminal truncations of Env affect structure as well as function and can result in Envs with greater exposure of the CD4 binding site[35] [36], increased fusion potential and altered Env incorporation and stability in virions[37–40]. Priming with a gp160 Env in the DDMM regimen, as opposed to priming with a gp150 Env in the MMM regimen has the potential for biasing immune responses for different Ab specificities by virtue of the priming immunization establishing antigenic sin[41, 42]. Indeed, a difference in the specificity of the Ab elicited by DDMM and MMM regimens is suggested by these two regimens eliciting overall similar titers of neutralizing Ab despite the MMM regimen eliciting 5-times higher titers and much higher avidity Env-specific Ab. The Ab elicited by these two regimens also had different relative avidities for the 239 Env of the immunogen and the E660 Env of the challenge virus. If the specificity of the Ab elicited by the DDMM and MMM regimens had been similar, increased titers of higher avidity Ab should have resulted in increased titers of neutralizing Ab [15] and relative avidities for the two test Envs should have been the same.
Thus, we suggest that not all high avidity Ab is protective Ab and that for high avidity Ab to be protective, it must target conserved conformational and linear epitopes for the Env on the challenge virus. Indeed, the avidity of the DDMM-elicited Ab for the E660 Env of the challenge virus correlated with the number of challenges to infection whereas the avidity of this same Ab for the 239Env of the immunogen did not show the correlation. For the avidity to be protective, it had to represent Ab that recognized the challenge virus.
Important goals for future studies are to test a full length gp160 Env in MVA for its ability to elicit protective avidity for a heterologous challenge. Given the good ability of the MMM regimen to elicit Ab, the potential of this regimen to elicit Ab with protective avidity warrants further development. If such can be achieved, our recombinant MVA vaccine, which has proven effective at eliciting Env-specific Ab in humans[14], could provide a single modality HIV/AIDS vaccine with an Ab correlate for protection.
Supplementary Material
Highlights.
Protective efficacy of MVA vaccine with and without a DNA prime
Different patterns of immune responses but similar protection
Potential role of form of Env in eliciting Ab with protective avidity
Acknowledgments
We thank Dr. Francois Villinger and Ken Rogers for production of SIVE660 virus for ELISA assays; Robert Wilson for assistance with rectal IgA assays; Jeffrey Americo for preparation of the MVA vaccine; Celia Labranche, William Rothwell, Corrine Rose and Cindi Emmerson for assistance with neutralization assays; Craig Auden, Jen Morgan, and Laura Hall and the genetics core of the New England Primate Research Center (NEPRC) for Trim5 genotyping; The Emory Center for AIDS Research (CFAR) virology core and Benton Lawson for viral load measurements, and Dr. Elizabeth Strobert and the Yerkes Research Center Veterinary Technicians for excellent animal care. We are indebted to Susan Reuland for administrative assistance.
Footnotes
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