Anti-HERV-K (HML-2) capsid antibody responses in HIV elite controllers
© The Author(s) 2017
Received: 6 April 2017
Accepted: 13 August 2017
Published: 22 August 2017
Human endogenous retroviruses (HERVs) comprise approximately 8% of the human genome and while the majority are transcriptionally silent, the most recently integrated HERV, HERV-K (HML-2), remains active. During HIV infection, HERV-K (HML-2) specific mRNA transcripts and viral proteins can be detected. In this study, we aimed to understand the antibody response against HERV-K (HML-2) Gag in the context of HIV-1 infection.
We developed an ELISA assay using either recombinant protein or 164 redundant “15mer” HERV-K (HML-2) Gag peptides to test sera for antibody reactivity. We identified a total of eight potential HERV-K (HML-2) Gag immunogenic domains: two on the matrix (peptides 16 and 31), one on p15 (peptide 85), three on the capsid (peptides 81, 97 and 117), one on the nucleocapsid (peptide 137) and one on the QP1 protein (peptide 157). Four epitopes (peptides 16, 31, 85 and 137) were highly immunogenic. No significant differences in antibody responses were found between HIV infected participants (n = 40) and uninfected donors (n = 40) for 6 out of the 8 epitopes tested. The antibody response against nucleocapsid (peptide 137) was significantly lower (p < 0.001), and the response to QP1 (peptide 157) significantly higher (p < 0.05) in HIV-infected adults compared to uninfected individuals. Among those with HIV infection, the level of response against p15 protein (peptide 85) was significantly lower in untreated individuals controlling HIV (“elite” controllers) compared to untreated non-controllers (p < 0.05) and uninfected donors (p < 0.05). In contrast, the response against the capsid protein (epitopes 81 and 117) was significantly higher in controllers compared to uninfected donors (p < 0.001 and <0.05 respectively) and non-controllers (p < 0.01 and <0.05). Peripheral blood mononuclear cells (PBMCs) from study participants were tested for responses against HERV-K (HML-2) capsid recombinant peptide in gamma interferon (IFN-γ) enzyme immunospot (Elispot) assays. We found that the HERV-K (HML-2) Gag antibody and T cell response by Elispot were significantly correlated.
HIV elite controllers had a strong cellular and antibody response against HERV-K (HML-2) Gag directed mainly against the Capsid region. Collectively, these data suggest that anti-HERV-K (HML-2) antibodies targeting capsid could have an immunoprotective effect in HIV infection.
Human endogenous retroviruses (HERVs) are fossil remnants of inherited retroviruses which were endogenized into the genome, and comprise about 5–8% of the human genome . Their ability to replicate or produce infectious particles is impaired by host restriction [2, 3] and they are now considered to be stably integrated, largely silent, and transmitted in a Mendelian fashion . Three major HERV classes have been identified and classified according to their polymerase gene (pol) sequence homology with exogenous retroviruses. Class I, II and III HERVs have similarities with gammaretroviruses, betaretroviruses and spumaviruses, respectively . To date, endogenous homologues to lentiviruses have not been described in the human genome.
HERV-K (HML-2), a class II HERV, with gag, pro, pol and env genes, flanked by two Long Terminal Repeats (LTR), is the most recently integrated into the genome and under certain circumstances can express proteins [6, 7]. HERV-K (HML-2) expression has been associated with some autoimmune diseases [8–13] and cancers [14–19], and mRNA transcripts and proteins can be found in tumor tissues. Translated HERV proteins can induce an immune response that correlates with disease progression or regression in some cancers [20–25].
We, and others, have previously shown that HERV-K (HML-2) can be reactivated in HIV infection [26–28]. The mechanisms leading to HERV-K (HML-2) expression are still being elucidated, but HIV Vif and Tat proteins have been implicated [27, 29]. However, it appears that the transactivation of HERV-K by exogenous HIV is more complex than initial studies suggested. In a previous study, we showed that HIV induced a skewed expression of HERV-K (HML-2) Env which favored the surface cell expression of the transmembrane envelope glycoprotein (TM) at the expense of the surface unit (SU). We showed that isolated HERV-K specific T-cell clones and HA137, a human anti-HERV-K (HML-2) TM antibody, eliminated HIV infected cells in vitro [26–28, 30, 31].
To further characterize the role of the anti-HERV-K (HML-2) immune response in HIV infection, we investigated the antibody response to HERV-K (HML-2) Gag in HIV infected participants. In this study, we showed that strong anti-HERV-K (HML-2) capsid response is more frequently found in elite controllers (ECs) compared to viremic non-controllers (VNCs) and HIV-negative low risk donors (SNLR). This response correlated with the HERV-K (HML-2) capsid T cell response. We mapped the antibody response and characterized an antibody pattern signature in ECs that significantly differed from the ones found VNCs, suggesting that the anti-HERV-K (HML-2) antibody response could play a role in the control of infection.
The anti-HERV-K (HML-2) Capsid response correlates with anti-HERV Gag T-cell response in elite controllers
Identification of linear antibody epitopes on HERV-K (HML-2) Gag proteins
Sequence identification of HERV-K (HML-2) Gag epitopes
Elite controllers and viremic non-controllers have distinct antibody patterns
We, and others, have previously shown that HIV infection reactivates HERV-K (HML-2), leading to HERV-K (HML-2) Gag and Env protein production [27, 33]. In this study, we hypothesized that HIV infection leads to a HERV-K (HML-2) capsid antibody response. We focused on responses to HERV-K (HML-2) capsid based on our previous findings that elite controllers (EC) developed an anti-HERV-K (HML-2) capsid cellular immune response . We show here that a strong antibody response against HERV-K (HML-2) capsid can be detected in ECs. To better characterize the anti-HERV-K (HML-2) response, we mapped responses to linear epitopes on the full HERV-K (HML-2) Gag sequence. Responses against HERV-K (HML-2) Gag were not changed by HIV infection, except for responses to an epitope present on the QP1 protein (epitope 157), which were higher in HIV-1 infected participants compared to controls. The antibody response against nucleocapsid (epitope 137) was significantly lower in HIV infected participants compared to uninfected individuals.
When we compared the anti-HERV-K (HML-2) gag antibody response between ECs and VNCs, we saw a distinct antibody pattern, characterized by a significantly higher anti-capsid antibodies (specific to peptides 81 and 117) and lower anti-p15 antibodies (epitope 58) in controllers. The plasma HIV RNA levels were strongly inversely correlated in VNCs who had an anti-HERV-K (HML-2) capsid response.
It has been previously established that HERV-K (HML-2) expression is tightly associated with HIV viral transcription and activity in vitro and in vivo [31, 34–37]. However, ECs have limited HIV replication activity, suggesting that the induction of the anti HERV-K (HML-2) capsid response in ECs is not caused by HIV-induced HERV-K capsid expression, as has been previously described for the HERV-K (HML-2) envelope antibody response [31, 36, 37]. However, a longitudinal study would be more informative to determine potential causality.
In a previous report, we showed that expression of HERV-K Env proteins following HIV infection is skewed towards a predominant expression of the HERV-K transmembrane protein compared to the surface unit protein . This suggested an HIV/HERV-K (HML-2) interaction far more complex than previous studies have proposed. In the case of HERV-K (HML-2) Gag expression, antibody profiles found in VNCs and ECs seem to reinforce this complexity. Anti-HERV-K (HML-2) capsid responses in VNCs are not significantly different than those found in controls, but they seem to be lower in early and late stages of HIV infection despite an increase of HERV-K (HML-2) expression. Patients who naturally control HIV infection are more likely to have a strong antibody response against HERV-K capsid, but the antibody response against p15 (peptide 58) was strongly decreased in ECs compared to VNCs and SNLR. Further longitudinal studies are needed to understand the chronology and the cause of this dichotomy.
A second objective of our study was to characterize the role of anti HERV-K (HML-2) capsid responses in ECs. Antibodies against viral gag proteins are not unexpected in HIV patients  and the anti-HIV p24 response correlates with control of disease progression . Antibodies against capsid could bind cells resulting in their lysis and formation of immunocomplexes. Those immunocomplexes might interact with innate immune cells such as NK cells, macrophages or dendritic cells and promote their activation and induction of a cellular immune response [39, 40]. This may explain why both T and B cell responses directed against HIV p24 correlated with the status of controllers. A similar hypothesis could be applied for anti-HERV-K (HML-2) capsid antibodies, with EC having both an anti-HIV p24 and an anti-HERV-K (HML-2) capsid response as a way to reinforce their antiviral response.
In this study, we identified linear immunogenic antibody epitopes on HERV-K (HML-2) gag proteins. We found that elite controllers had a distinctive antibody pattern compared to viremic non-controllers and HIV seronegative participants. Although further studies are needed to elucidate how these responses could be involved in the control of viremia, it reinforces the importance of studying HERV-K (HML-2) capsid immune responses in HIV infection.
Samples of peripheral blood mononuclear cells (PBMCs) were selected from participants in a San Francisco-based HIV-infected cohort: OPTIONS (n = 40). Samples from HIV-negative controls were obtained from individuals who donated blood to the Stanford blood bank. Studies were performed on cryopreserved PBMCs and sera.
PBMC and sera samples were obtained from the following categories of chronically HIV-infected individuals: 20 elite controllers (EC: naive for treatment, undetectable viral load for two years, CD4 > 350) and 20 untreated virologic non-controllers (VNC; naive for treatment, viral load >2000 copies/mL).
A set of 164 overlapping “15-mer” HERV-K (HML-2) Gag peptides (JPT Peptide Technologies, Berlin, Germany), based on HERV-K102 sequence (AF164610), were used to comprehensively map the HERV-K (HML-2) antibody response (Additional file 2: Fig. S2). Positive signals were confirmed by peptides produced by two other companies (New England Peptide and Gene Script). 96 microtiter wells plate (Nunc-Immuno Plate MaxiSorp Surface) were coated for 1 h at 37 °C with peptides at 10 μg/ml in PBS or over-night at 4 °C with recombinant protein (GeneArt) at 5 μg/ml in PBS. Plates were then washed 3 times with 200 μL of PBS/0.05%-Tween 20 and blocked with 100 μL of blocking buffer (PBS/2.5%-BSA) at room temperature (RT). The samples were diluted in blocking buffer and incubated 2 h at RT in duplicates. Plates were then washed 3 times with 200 μL of PBS/0.05%-Tween 20. An anti-human IgG or anti-human IgM HRP-conjugated secondary antibody was diluted at 1:1000 in blocking buffer and incubated at RT for 1 h. Plates were then washed 6 times with 200 μL of PBS/0.05%-Tween 20 and incubated for 10 min with 100 μL of TMB (Invitrogen). Addition of 50 μL H2SO4 2 M stopped the reaction. The plates were read at 450 and 690 nm for the background on a plate reader. Background from 690 nm uncoated wells and twice the background from 450 nm PBS-BSA (negative control) were subtracted from the mean absorbance of the coated wells (corrected OD). For the detection of anti-Gag antibodies, sera were used at 1:400. ODs were normalized with serum from a high responder in a standard curve. The STDEV intra experiment was less than 4%.
For the response against the recombinant HERV-K (HML-2) capsid and the peptide 81, we defined the humoral responses for elite controllers as followed: the response was considered moderate if the corrected OD is greater than the mean of corrected OD for SNLR and strong if the corrected OD is greater than twice the mean of corrected OD for SNLR.
The ELISPOT assay has been described previously . In brief, 96-well plates (Millipore, Billerica, MA) were coated with human monoclonal anti-interferon gamma (IFN-γ) immunoglobulin (Mabtech, Mariemont, OH). After plates were washed and blocked with 10% fetal calf serum, PBMCs were added at a concentration of 105 cells per well. Duplicate wells were prepared for each experimental condition. Spot totals for duplicate wells were averaged, and all spot numbers were normalized to numbers of (IFN-γ) spot forming units (SFU) per million PBMCs (SPM). The spot values from medium control wells were subtracted, after which a positive response to a peptide was defined as 50 SPM and 2 times the medium control value. The total magnitude of the HERV T cell response was calculated by adding up all of the individual peptide SPM values.
To assess the distribution of the humoral responses obtained in this study, we used the D’Agostino and Pearson normality test. The results concluded that the populations were not normally distributed. According to this statement, we used non-parametric statistical tests to compare the humoral responses assayed by ELISA for each group. Multiple comparisons were performed in the 3 groups (SNLR, EC and VNC) with the Kruskal–Wallis and Dunn’s multiple comparison test for Fig. 4. Spearman correlation analyses were used to measure associations between different humoral responses and HIV viral load or CD4+T cells count for Figs. 1b, 5, and 6. The two-tailed Mann–Whitney u test was used to compare the humoral responses between HIV-1pos and HIV-1neg (SNLR) groups for Fig. 3. A q value was calculated using the original method of Benjamini and Hochberg and added on the figure when it was relevant. All tests were conducted using GraphPad Prism, version 6.00 (GraphPad Software, San Diego, CA), with the statistical significance of the findings set at a p value of less than 0.05.
MMR designed and performed the experiments and wrote the paper, DS helped design and perform the experiments, SGD helped design the experiments and provided clinical samples, JNM helped design the experiments and provided clinical samples, CDP provided clinical samples, FMH provided clinical samples, RASR helped design the experiments and co-wrote the paper, JBS helped design the experiments and co-wrote the paper, DFN helped design the experiments and co-wrote the paper, H-AM designed and performed the experiments and wrote the paper. All authors helped edit the paper. All authors read and approved the final manuscript.
We thank Christopher Ormsby, Mario Ostrowski, Dominic Paquin-Proulx and Greta Beckerle for helpful discussions. We thank Rasha Boulos and Sabine Chabalier from the bioinformatics department of the Institut de Recherche en Cancérologie de Montpellier. We gratefully acknowledge reagents supplied from the National Institutes of Health AIDS Research and Reference Reagent Program.
The authors declare that they have no competing interests.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Consent for publication
Ethics approval and consent to participate
The study was approved by the local Institutional Review Board (University of California San Francisco Committee on Human Research), research conducted according to the Declaration of Helsinki, and individuals gave written informed consent.
We gratefully acknowledge reagents supplied from the National Institutes of Health (NIH) AIDS Research and Reference Reagent Program. This work was supported in part by grant number 108248-51-RGRL from amfAR, The Foundation for AIDS Research, The Bill and Melinda Gates Foundation (BMGF:01434000363), the Peter and Shelagh Godsoe Family Foundation thorough the AIDS Research Institute at UCSF, Pfizer Inc. through a sponsored research agreement, and funds from the NIH (R01 AI076059, R56 AI084113, and P51 OD011092). This research was supported in part by a grant from the NIH, University of California, San Francisco-Gladstone Institute of Virology and Immunology Center for AIDS Research (P30 AI027763) and the District of Columbia Developmental Center for AIDS Research (P30 AI087714). The Options study is funded in part by National Institute of Allergy and Infectious Diseases (P01 AI071713). The SCOPE cohort is supported by the NIH (RO1 AI087145, K24 AI069994, U19 AI0961090, UL1 RR024131, and R24 AI067039).
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