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Screening for HIV-specific T-cell responses using overlapping 15-mer peptide pools or optimized epitopes

Beattie, Taraa; Kaul, Rupertb; Rostron, Tima; Dong, Taoa; Easterbrook, Philippac; Jaoko, Walterd; Kimani, Joshuad; Plummer, Francise; McMichael, Andrewa; Rowland-Jones, Saraha

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aMRC Human Immunology Unit, University of Oxford, Oxford, UK; bDivision of Clinical Sciences, Department of Medicine, University of Toronto, Toronto, Canada; cThe Caldecot Centre, Kings’ Healthcare National Health Service Trust, London, UK; dDepartment of Medical Microbiology, University of Nairobi, Nairobi, Kenya; and eDepartment of Medical Microbiology, University of Manitoba, Winnipeg, Canada.

Received: 9 December 2003; revised: 16 March 2004; accepted: 24 March 2004.

The IFN-γ enzyme-linked immunospot (ELISpot) assay is often used to map HIV-specific CD8 T-cell responses. We compared overlapping 15-mer pools with optimized CD8 epitopes to screen ELISpot responses in HIV-infected individuals. The 15-mer pools detected responses to previously undefined epitopes, but often missed low-level responses to predefined epitopes, particularly when the epitope was central in the 15-mer, rather than at the N-terminus or C-terminus. These factors should be considered in the monitoring of HIV vaccine trials.

HIV-specific CD8 T lymphocytes are important in the host control of HIV replication. There is a clear temporal relationship between the development of HIV-specific CD8 T cells and viral control during acute HIV infection [1], and between experimental CD8 T-cell depletion and increases in viral load [2]. In addition, epitope-specific CD8 T cells place considerable evolutionary pressure on the virus in both primates and humans [3–8]. Various HIV-specific immune responses have been described in highly exposed, persistently seronegative (HEPS) populations [8,9], most commonly HIV-specific CD8 cells [10]. Moreover, the loss of peripheral HIV-specific CD8 effector responses in the absence of HIV exposure has been associated with the seroconversion of HEPS individuals [11]. These findings, among others, have led to the development of HIV vaccines that are designed to induce a virus-specific cellular immune response [12,13].

As HIV vaccines move into human trials, one issue faced is the choice of assay to monitor CD8 T-cell responses [14]. CD8 response frequencies in both vaccinated and HEPS individuals are approximately 10-fold lower than in HIV-infected individuals [15,16], and may target novel virus epitopes [17,18]. The IFN-γ enzyme-linked immunospot (ELISpot) assay has been used successfully to screen responses in HIV-infected [19], HEPS [20] and vaccinated [16] cohorts. The HIV antigen(s) used to elicit responses in this system have most commonly been HIV-vaccinia constructs [21,22], overlapping peptide pools spanning an entire HIV-1 gene or the entire HIV-1 genome [23], or optimized CD8 epitope libraries [20]. Optimized epitopes can be pooled to screen responses without losing sensitivity [24], and the sensitivity of overlapping 15-mers and 20mers is similar [25]. However, as the detection of low frequency CD8 responses is likely to be important in vaccine studies, we compared the use of individual optimized HIV CD8 epitopes with overlapping 15-mer peptides.

HIV-1 Gag-specific responses were screened in 49 HIV-1-infected individuals at various clinical stages, and in 11 low-risk control subjects. Molecular HLA class I genotyping was performed for all subjects using polymerase chain reaction sequence-specific primers [26], and IFN-γ ELISpot assays were set up using peripheral blood mononuclear cells (PBMC) at 1 × 105 per well, with a final peptide concentration of 10 μM, as previously described [15,27]. A total of 122 15-mer peptides overlapping by 11 amino acids and spanning HIV-1 Gag (obtained through the AIDS Research and Reference Reagent Program, Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health) were set up in a matrix of 23 pools, so that each peptide appeared uniquely in two separate pools, and all responses detected using the 15-mer matrix were confirmed using individual 15-mer peptides. In addition, a panel of all 58 HIV-1 Gag cytotoxic T lymphocyte epitopes listed in the Los Alamos Immunology Database [28] was synthesized, and screening was performed against all appropriate class I HLA-matched epitopes. Plates were counted using an automated ELISpot counter (Autoimmun Diagnostika GmbH, Strassberg, Germany). The criteria for a positive assay were: (i) HIV-specific response 50 or more spot-forming units (SFU)/million PBMC; (ii) peptide response two or more times background (media alone); and (iii) a response to the positive control (phytohemagglutinin; Murex Biotech Ltd., Dartford, Kent, UK). CD8 T-cell response frequencies were further classified as weak (< 200 SFU/106 PBMC), intermediate (200–1000 SFU/106 PBMC) or strong (> 1000 SFU/106 PBMC).

No positive responses, either to the overlapping peptides or to the optimized epitopes, were seen in 11 low-risk, HIV-uninfected control subjects. The 49 HIV-1-infected subjects made 102 CD8 T-cell responses to HIV-1 Gag, with at least one response seen in 48 out of 49 (98%) individuals. Of the 102 IFN-γ CD8 T-cell responses detected with the HIV-1 Gag matrix, 15 (14.7%) were to 15-mer peptides that did not contain a CD8 epitope previously known to be restricted by any of the subjects’ class I HLA alleles. These novel responses spanned 12 immunogenic regions of Gag, and fine mapping of these novel epitopes is currently underway. The sole use of a predefined epitope panel would therefore have missed a substantial number of CD8 T-cell responses.

The predefined epitope panel detected 87 responses in 49 study subjects. A matching response was seen to the corresponding 15-mer in 70 out of 87 (81.5%), with no corresponding response in 17 out of 87 (19.5%). Weak responses (< 200 SFU/106) to optimized epitopes were more likely to be missed by the 15-mer matrix than stronger (≥ 200 SFU/106) responses (12/21 versus 58/66; likelihood ratio 8.5; P = 0.002). There was a stepwise association between the strength of the CD8 T-cell response to an optimized epitope and the probability of detecting this response with the 15-mer peptide matrix: 28 out of 30 (93.3%) strong responses were detected using the 15-mer pools, 30 out of 36 (83.3%) intermediate responses, and 12 out of 21 (57.1%) weak responses (likelihood ratio 10.1; P = 0.006; Fig. 1a). Predefined epitope responses were retested for 43 epitopes in which cryopreserved PBMC were available, and were confirmed in 42 out of 43 cases (98%). In one case (2%), the epitope response could not be confirmed; this response had been weak, and was not detected using the 15-mer matrix.

Fig. 1
Fig. 1
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Serial fivefold peptide titrations were performed for five optimized epitope 15-mer pairs, using cryopreserved PBMC samples (Fig. 1b; representative example). When responses to both the optimized epitope and the 15-mer peptide were detected at a given peptide concentration, responses to the former were stronger in all cases. More importantly, the threshold concentration for response detection was consistently lower for the optimized epitope than for the 15-mer (mean 1.4 fivefold dilutions lower; range 0–3 dilutions). In one subject, the response to an optimized epitope (QASQEVKNW) could be detected down to a concentration of 0.2 μg/ml, whereas no responses to the 15-mer (RAEQASQEVKNWMTE) could be detected below 25 μg/ml.

It was hypothesized that the position of an optimized epitope within the 15-mer itself might affect the assay sensitivity, because issues of steric hindrance and amino acid charge might be more important for centrally located epitopes than for those located at the C or N-terminus. To test this hypothesis, we analysed responses in which the same optimized epitope was contained within two different 15-mers, centrally in one and terminally in another (N = 27 responses). Responses to the 15-mer with the epitope in a central position tended to be weaker than those with the same epitope in a terminal position (mean response 598 versus 740 SFU/million PBMC; P = 0.1, paired-samples t-test), and were more likely to miss an optimized epitope response altogether (11/27 versus 5/27 responses missed; P = 0.001).

In summary, screening for HIV-1-specific CD8 T-cell responses in an HIV-1-infected cohort using a matrix of overlapping 15-mer peptide pools detected several novel responses that would have been missed using a panel of predefined CD8 epitopes, confirming that this will be a useful technique for mapping CD8 responses in HIV-1-infected individuals and HIV-1 vaccine recipients. However, overlapping 15-mers were less sensitive than optimized CD8 epitopes in detecting low frequency CD8 responses (< 200 SFU/million PBMC), especially when the epitope was located centrally in the 15-mer peptide. As CD8 responses in exposed seronegative and vaccinated cohorts are up to 10-fold lower in frequency than those in HIV-infected individuals [15,16], the merits of each approach should be considered carefully when planning and monitoring HIV-1 vaccines trials.

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Acknowledgements

The authors would like to thank Kati di Gleria for peptide synthesis. Overlapping HIV-1 peptide pools were obtained through the AIDS Research and Reference Reagent Program, Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health.

Sponsorship: This work was supported by grants from the UK Medical Research Council (S.R.J., T.D.); the Elizabeth Glaser Pediatric AIDS Foundation (S.R.J.); the Canadian Institutes of Health Research (F.P.); and the Connaught Foundation of the University of Toronto (R.K.). S.R.J. is an Elizabeth Glaser Scientist of the Pediatric AIDS Foundation; R.K. and F.P. are supported by the Canadian Research Chair Programme. These data were presented in part at the International Meeting of the Institute of Human Virology, Baltimore, USA, 2003.

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References

1. Pantaleo G, Demarest JF, Soudeyns H, Graziosi C, Denis F, Adelsberger JW, et al. Major expansion of CD8+ T cells with a predominant V beta usage during the primary immune response to HIV. Nature 1994, 370:463–467.

2. Jin X, Bauer DE, Tuttleton SE, Lewin S, Gettie A, Blanchard J, et al. Dramatic rise in plasma viremia after CD8(+) T cell depletion in simian immunodeficiency virus-infected macaques. J Exp Med 1999, 189:991–998.

3. Allen TM, O'Connor DH, Jing P, Dzuris JL, Mothe BR, Vogel TU, et al. Tat-specific cytotoxic T lymphocytes select for SIV escape variants during resolution of primary viraemia. Nature 2000, 407:386–390.

4. Altfeld M, Rosenberg ES, Shankarappa R, Mukherjee JS, Hecht FM, Eldridge RL, et al. Cellular immune responses and viral diversity in individuals treated during acute and early HIV-1 infection. J Exp Med 2001, 193:169–180.

5. Borrow P, Lewicki H, Wei X, Horwitz MS, Peffer N, Meyers H, et al. Antiviral pressure exerted by HIV-1- specific cytotoxic T lymphocytes (CTLs) during primary infection demonstrated by rapid selection of CTL escape virus. Nat Med 1997, 3:205–211.

6. Goulder PJ, Brander C, Tang Y, Tremblay C, Colbert RA, Addo MM, et al. Evolution and transmission of stable CTL escape mutations in HIV infection. Nature 2001, 412:334–338.

7. Goulder PJ, Phillips RE, Colbert RA, McAdam S, Ogg G, Nowak MA, et al. Late escape from an immunodominant cytotoxic T-lymphocyte response associated with progression to AIDS. Nat Med 1997, 3:212–217.

8. McMichael AJ, Rowland-Jones SL. Cellular immune responses to HIV. Nature 2001, 410:980–987.

9. Beattie T, Rowland-Jones S, Kaul R. HIV-1 and AIDS: what are protective immune responses? J HIV Ther 2002, 7:35–39.

10. Skurnick JH, Palumbo P, DeVico A, Shacklett BL, Valentine FT, Merges M, et al. Correlates of nontransmission in US women at high risk of human immunodeficiency virus type 1 infection through sexual exposure. J Infect Dis 2002, 185:428–438.

11. Kaul R, Rowland-Jones SL, Kimani J, Dong T, Yang HB, Kiama P, et al. Late seroconversion in HIV-resistant Nairobi prostitutes despite pre-existing HIV-specific CD8(+) responses. J Clin Invest 2001, 107:341–349.

12. Hanke T, McMichael AJ, Mwau M, Wee EG, Ceberej I, Patel S, et al. Development of a DNA-MVA/HIVA vaccine for Kenya. Vaccine 2002, 20:1995–1998.

13. McMichael A, Hanke T. The quest for an AIDS vaccine: is the CD8+ T-cell approach feasible? Nat Rev Immunol 2002, 2: 283–291.

14. Yang OO. Will we be able to 'spot’ an effective HIV-1 vaccine? Trends Immunol 2003, 24:67–72.

15. Kaul R, Dong T, Plummer FA, Kimani J, Rostron T, Kiama P, et al. CD8(+) lymphocytes respond to different HIV epitopes in seronegative and infected subjects. J Clin Invest 2001, 107: 1303–1310.

16. Russell ND, Hudgens MG, Ha R, Havenar-Daughton C, McElrath MJ. Moving to human immunodeficiency virus type 1 vaccine efficacy trials: defining T cell responses as potential correlates of immunity. J Infect Dis 2003, 187:226–242.

17. Ferrari G, Neal W, Jones A, Olender N, Ottinger J, Ha R, et al. CD8 CTL responses in vaccines: emerging patterns of HLA restriction and epitope recognition. Immunol Lett 2001, 79: 37–45.

18. Vogel TU, Horton H, Fuller DH, Carter DK, Vielhuber K, O'Connor DH, et al. Differences between T cell epitopes recognized after immunization and after infection. J Immunol 2002, 169:4511–4521.

19. Goulder PJ, Addo MM, Altfeld MA, Rosenberg ES, Tang Y, Govender U, et al. Rapid definition of five novel HLA-A*3002-restricted human immunodeficiency virus-specific cytotoxic T-lymphocyte epitopes by elispot and intracellular cytokine staining assays. J Virol 2001, 75:1339–1347.

20. Kaul R, Rowland-Jones SL, Kimani J, Fowke K, Dong T, Kiama P, et al. New insights into HIV-1 specific cytotoxic T-lymphocyte responses in exposed, persistently seronegative Kenyan sex workers. Immunol Lett 2001, 79:3–13.

21. Larsson M, Jin X, Ramratnam B, Ogg GS, Engelmayer J, Demoitie MA, et al. A recombinant vaccinia virus based ELISPOT assay detects high frequencies of Pol-specific CD8 T cells in HIV-1-positive individuals. AIDS 1999, 13:767–777.

22. Promadej N, Costello C, Wernett MM, Kulkarni PS, Robison VA, Nelson KE, et al. Broad human immunodeficiency virus (HIV)-specific T cell responses to conserved HIV proteins in HIV-seronegative women highly exposed to a single HIV-infected partner. J Infect Dis 2003, 187:1053–1063.

23. Addo MM, Yu XG, Rathod A, Cohen D, Eldridge RL, Strick D, et al. Comprehensive epitope analysis of human immunodeficiency virus type 1 (HIV-1)-specific T-cell responses directed against the entire expressed HIV-1 genome demonstrate broadly directed responses, but no correlation to viral load. J Virol 2003, 77:2081–2092.

24. Sun Y, Iglesias E, Samri A, Kamkamidze G, Decoville T, Carcelain G, et al. A systematic comparison of methods to measure HIV-1 specific CD8 T cells. J Immunol Methods 2003, 272:23–34.

25. Draenert R, Altfeld M, Brander C, Basgoz N, Corcoran C, Wurcel AG, et al. Comparison of overlapping peptide sets for detection of antiviral CD8 and CD4 T cell responses. J Immunol Methods 2003, 275:19–29.

26. Bunce M, O'Neill CM, Barnardo MC, Krausa P, Browning MJ, Morris PJ, J, et al. Phototyping: comprehensive DNA typing for HLA-A, B, C, DRB1, DRB3, DRB4, DRB5 and DQB1 by PCR with 144 primer mixes utilizing sequence-specific primers (PCR–SSP). Tiss Antigens 1995, 46:355–367.

27. Kaul R, Rowland-Jones SL. Methods of detection of HIV-specific CTL and their role in protection against HIV infection. In: HIV immunology database, vol. IV. Korber BTM, Haynes BF, Koup R, et al., editors. Los Alamos, NM, USA: Theoretical Biology and Biophysics Group T-10, Los Alamos National Laboratory; 1999. pp. 27–36.

28. HIV CTL epitope alignments. In: HIV molecular immunology database. Edited by Korber BTM, Haynes BF, Koup R, et al., editors. Los Alamos, NM, USA: Theoretical Biology and Biophysics Group T-10, Los Alamos National Laboratory; 1999. I-D-49.

© 2004 Lippincott Williams & Wilkins, Inc.

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