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Del Moral-Sánchez I, Wee EG, Xian Y, Lee WH, Allen JD, Torrents de la Peña A, Fróes Rocha R, Ferguson J, León AN, Koekkoek S, Schermer EE, Burger JA, Kumar S, Zwolsman R, Brinkkemper M, Aartse A, Eggink D, Han J, Yuan M, Crispin M, Ozorowski G, Ward AB, Wilson IA, Hanke T, Sliepen K, Sanders RW. Triple tandem trimer immunogens for HIV-1 and influenza nucleic acid-based vaccines. NPJ Vaccines 2024; 9:74. [PMID: 38582771 PMCID: PMC10998906 DOI: 10.1038/s41541-024-00862-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 03/14/2024] [Indexed: 04/08/2024] Open
Abstract
Recombinant native-like HIV-1 envelope glycoprotein (Env) trimers are used in candidate vaccines aimed at inducing broadly neutralizing antibodies. While state-of-the-art SOSIP or single-chain Env designs can be expressed as native-like trimers, undesired monomers, dimers and malformed trimers that elicit non-neutralizing antibodies are also formed, implying that these designs could benefit from further modifications for gene-based vaccination approaches. Here, we describe the triple tandem trimer (TTT) design, in which three Env protomers are genetically linked in a single open reading frame and express as native-like trimers. Viral vectored Env TTT induced similar neutralization titers but with a higher proportion of trimer-specific responses. The TTT design was also applied to generate influenza hemagglutinin (HA) trimers without the need for trimerization domains. Additionally, we used TTT to generate well-folded chimeric Env and HA trimers that harbor protomers from three different strains. In summary, the TTT design is a useful platform for the design of HIV-1 Env and influenza HA immunogens for a multitude of vaccination strategies.
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Affiliation(s)
- Iván Del Moral-Sánchez
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, Netherlands
| | - Edmund G Wee
- The Jenner Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Yuejiao Xian
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Wen-Hsin Lee
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Joel D Allen
- School of Biological Sciences, University of Southampton, Southampton, UK
| | - Alba Torrents de la Peña
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Rebeca Fróes Rocha
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - James Ferguson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - André N León
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Sylvie Koekkoek
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, Netherlands
| | - Edith E Schermer
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, Netherlands
| | - Judith A Burger
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, Netherlands
| | - Sanjeev Kumar
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, Netherlands
- Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | - Robby Zwolsman
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, Netherlands
| | - Mitch Brinkkemper
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, Netherlands
| | - Aafke Aartse
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Department of Virology, Biomedical Primate Research Centre, Rijswijk, Netherlands
| | - Dirk Eggink
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, Netherlands
| | - Julianna Han
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Meng Yuan
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Max Crispin
- School of Biological Sciences, University of Southampton, Southampton, UK
| | - Gabriel Ozorowski
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Andrew B Ward
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Ian A Wilson
- Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, USA
| | - Tomáš Hanke
- The Jenner Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan
| | - Kwinten Sliepen
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Institute for Infection and Immunity, Amsterdam, Netherlands
| | - Rogier W Sanders
- Department of Medical Microbiology and Infection Prevention, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
- Amsterdam Institute for Infection and Immunity, Amsterdam, Netherlands.
- Department of Microbiology and Immunology, Weill Medical College of Cornell University, New York, NY, USA.
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Nkone P, Loubser S, Quinn TC, Redd AD, Ismail A, Tiemessen CT, Mayaphi SH. Deep sequencing of the HIV-1 polymerase gene for characterisation of cytotoxic T-lymphocyte epitopes during early and chronic disease stages. Virol J 2022; 19:56. [PMID: 35346259 PMCID: PMC8959563 DOI: 10.1186/s12985-022-01772-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 03/07/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Despite multiple attempts, there is still no effective HIV-1 vaccine available. The HIV-1 polymerase (pol) gene is highly conserved and encodes cytotoxic T-lymphocyte (CTL) epitopes. The aim of the study was to characterise HIV-1 Pol CTL epitopes in mostly sample pairs obtained during early and chronic stages of infection. METHODS Illumina deep sequencing was performed for all samples while Sanger sequencing was only performed on baseline samples. Codons under immune selection pressure were assessed by computing nonsynonymous to synonymous mutation ratios using MEGA. Minority CTL epitope variants occurring at [Formula: see text] 5% were detected using low-frequency variant tool in CLC Genomics. Los Alamos HIV database was used for mapping mutations to known HIV-1 CTL epitopes. RESULTS Fifty-two participants were enrolled in the study. Their median age was 28 years (interquartile range: 24-32 years) and majority of participants (92.3%) were female. Illumina minority variant analysis identified a significantly higher number of CTL epitopes (n = 65) compared to epitopes (n = 8) identified through Sanger sequencing. Most of the identified epitopes mapped to reverse transcriptase (RT) and integrase (IN) regardless of sequencing method. There was a significantly higher proportion of minority variant epitopes in RT (n = 39, 60.0%) compared to IN (n = 17, 26.2%) and PR (n = 9, 13.8%), p = 0.002 and < 0.0001, respectively. However, no significant difference was observed between the proportion of minority variant epitopes in IN versus PR, p = 0.06. Some epitopes were detected in either early or chronic HIV-1 infection whereas others were detected in both stages. Different distribution patterns of minority variant epitopes were observed in sample pairs; with some increasing or decreasing over time, while others remained constant. Some of the identified epitopes have not been previously reported for HIV-1 subtype C. There were also variants that could not be mapped to reported CTL epitopes in the Los Alamos HIV database. CONCLUSION Deep sequencing revealed many Pol CTL epitopes, including some not previously reported for HIV-1 subtype C. The findings of this study support the inclusion of RT and IN epitopes in HIV-1 vaccine candidates as these proteins harbour many CTL epitopes.
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Affiliation(s)
- Paballo Nkone
- Department of Medical Virology, University of Pretoria, Private Bag X323, Gezina, 0031, South Africa
| | - Shayne Loubser
- National Institute for Communicable Diseases and Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Thomas C Quinn
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.,Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Andrew D Redd
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.,Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Arshad Ismail
- National Institute for Communicable Diseases and Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Caroline T Tiemessen
- National Institute for Communicable Diseases and Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Simnikiwe H Mayaphi
- Department of Medical Virology, University of Pretoria, Private Bag X323, Gezina, 0031, South Africa. .,National Health Laboratory Service-Tshwane Academic Division (NHLS-TAD), Tshwane, South Africa.
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Effect of Difference in Consensus Sequence between HIV-1 Subtype A/E and Subtype B Viruses on Elicitation of Gag-Specific CD8 + T Cells and Accumulation of HLA-Associated Escape Mutations. J Virol 2021; 95:JVI.02061-20. [PMID: 33361435 PMCID: PMC8094948 DOI: 10.1128/jvi.02061-20] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 12/09/2020] [Indexed: 01/14/2023] Open
Abstract
The Gag280 mutation is associated with HLA-C*01:02 but not with HLA-B*52:01 in subtype A/E-infected individuals, whereas this mutation is associated with HLA-B*52:01 but not with HLA-C*01:02 in subtype B infections. Although it is known that the Gag280 mutant is selected by HLA-B*52:01-restricted GagRI8 (Gag275-282)-specific T cells in subtype B infections, it remains unknown why this Gag280 mutation is associated with HLA-C*01:02 rather than HLA-B*52:01 in subtype A/E infections. The subtype B and A/E viruses have different consensus sequence, with Thr and Val at Gag280, respectively. To clarify the effect of this difference in Gag280 consensus sequence, we investigated the role of HLA-C*01:02-restricted GagYI9 (Gag277-285)-specific T cells in selection of Gag280 mutations in subtype A/E-infected Vietnamese and subtype B-infected Japanese individuals. GagYI9-4V-specific T cells, which were frequently elicited in Vietnamese individuals infected with the consensus-type A/E virus, failed to recognize GagV280T mutant A/E virus-infected cells. GagYI9-4T mutant epitope-specific T cells, which were weakly elicited in individuals infected with the mutant A/E virus, had weak or no ability to recognize the mutant virus. These results account for the mechanism for selection and accumulation of GagV280T mutants in the case of subtype A/E infections. In contrast, HLA-C*01:02-restricted GagYI9-4T-specific T cells were weakly elicited in Japanese individuals infected with the subtype B virus, explaining why HLA-C*01:02-restricted Gag280 mutations are not accumulated in the case of a subtype B infection. The present study demonstrated that a difference in the Gag280 consensus sequence influenced the elicitation of the GagYI9-specific T cells involved in the accumulation of HLA-C*01:02-associated Gag280 mutations.IMPORTANCE HIV-1 mutations escaped from HIV-specific CD8+ T cells are mostly detected as HLA-associated mutations. A diversity of HLA-associated mutations is somewhat distinct to each race and region, since HLA allele distribution differs among them. A difference in the consensus sequence among HIV-1 subtypes may also influence the diversity of HLA-associated mutations. HLA-C*01:02-associated GagV280T and HLA-B*52:01-associated GagT280A/S mutations were previously identified in HIV-1 subtype A/E-infected and subtype B-infected individuals, respectively, though these subtype viruses have a different consensus sequence at Gag280. We demonstrated that the GagV280T mutant virus was selected by HLA-C*01:02-restricted GagYI9-4V-specific T cells in subtype A/E-infected Vietnamese but that HLA-C*01:02-restricted GagYI9-4T-specific T cells were weakly elicited in subtype B-infected Japanese. Together with our recent study which demonstrated the mechanism for the accumulation of HLA-B*52:01-associated mutations, we clarified the mechanism for the accumulation of different Gag280 mutations and the effect of the difference in the consensus sequence on the accumulation of escape mutations.
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