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Sohail MS, Ahmed SF, Quadeer AA, McKay MR. Cross-Reactivity Assessment of Vaccine-Derived SARS-CoV-2 T Cell Responses against BA.2.86 and JN.1. Viruses 2024; 16:473. [PMID: 38543838 PMCID: PMC10975570 DOI: 10.3390/v16030473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 03/15/2024] [Indexed: 05/23/2024] Open
Abstract
The SARS-CoV-2 Omicron sub-variants BA.2.86 and JN.1 contain multiple mutations in the spike protein that were not present in previous variants of concern and Omicron sub-variants. Preliminary research suggests that these variants reduce the neutralizing capability of antibodies induced by vaccines, which is particularly significant for JN.1. This raises concern as many widely deployed COVID-19 vaccines are based on the spike protein of the ancestral Wuhan strain of SARS-CoV-2. While T cell responses have been shown to be robust against previous SARS-CoV-2 variants, less is known about the impact of mutations in BA.2.86 and JN.1 on T cell responses. We evaluate the effect of mutations specific to BA.2.86 and JN.1 on experimentally determined T cell epitopes derived from the spike protein of the ancestral Wuhan strain and the spike protein of the XBB.1.5 strain that has been recommended as a booster vaccine. Our data suggest that BA.2.86 and JN.1 affect numerous T cell epitopes in spike compared to previous variants; however, the widespread loss of T cell recognition against these variants is unlikely.
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Affiliation(s)
- Muhammad Saqib Sohail
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, China;
| | - Syed Faraz Ahmed
- Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC 3010, Australia;
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC 3000, Australia
| | - Ahmed Abdul Quadeer
- Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC 3010, Australia;
| | - Matthew R. McKay
- Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC 3010, Australia;
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC 3000, Australia
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Hoefges A, McIlwain SJ, Erbe AK, Mathers N, Xu A, Melby D, Tetreault K, Le T, Kim K, Pinapati RS, Garcia BH, Patel J, Heck M, Feils AS, Tsarovsky N, Hank JA, Morris ZS, Ong IM, Sondel PM. Antibody landscape of C57BL/6 mice cured of B78 melanoma via a combined radiation and immunocytokine immunotherapy regimen. Front Immunol 2023; 14:1221155. [PMID: 38077403 PMCID: PMC10701281 DOI: 10.3389/fimmu.2023.1221155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 11/06/2023] [Indexed: 12/18/2023] Open
Abstract
Sera of immune mice that were previously cured of their melanoma through a combined radiation and immunocytokine immunotherapy regimen consisting of 12 Gy of external beam radiation and the intratumoral administration of an immunocytokine (anti-GD2 mAb coupled to IL-2) with long-term immunological memory showed strong antibody-binding against melanoma tumor cell lines via flow cytometric analysis. Using a high-density whole-proteome peptide array (of 6.090.593 unique peptides), we assessed potential protein-targets for antibodies found in immune sera. Sera from 6 of these cured mice were analyzed with this high-density, whole-proteome peptide array to determine specific antibody-binding sites and their linear peptide sequence. We identified thousands of peptides that were targeted by these 6 mice and exhibited strong antibody binding only by immune (after successful cure and rechallenge), not naïve (before tumor implantation) sera and developed a robust method to detect these differentially targeted peptides. Confirmatory studies were done to validate these results using 2 separate systems, a peptide ELISA and a smaller scale peptide array utilizing a slightly different technology. To the best of our knowledge, this is the first study of the full set of germline encoded linear peptide-based proteome epitopes that are recognized by immune sera from mice cured of cancer via radio-immunotherapy. We furthermore found that although the generation of B-cell repertoire in immune development is vastly variable, and numerous epitopes are identified uniquely by immune serum from each of these 6 immune mice evaluated, there are still several epitopes and proteins that are commonly recognized by at least half of the mice studied. This suggests that every mouse has a unique set of antibodies produced in response to the curative therapy, creating an individual "fingerprint." Additionally, certain epitopes and proteins stand out as more immunogenic, as they are recognized by multiple mice in the immune group.
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Affiliation(s)
- Anna Hoefges
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Sean J. McIlwain
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States
| | - Amy K. Erbe
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Nicholas Mathers
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Angie Xu
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Drew Melby
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Kaitlin Tetreault
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States
| | - Trang Le
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States
| | - Kyungmann Kim
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States
| | | | | | - Jigar Patel
- Nimble Therapeutics, Inc., Madison, WI, United States
| | - Mackenzie Heck
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Arika S. Feils
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Noah Tsarovsky
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Jacquelyn Ann Hank
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Zachary Scott Morris
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
| | - Irene M. Ong
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States
- Department of Obstetrics and Gynecology, University of Wisconsin, Madison, WI, United States
| | - Paul Mark Sondel
- Department of Human Oncology, University of Wisconsin, Madison, WI, United States
- Department of Pediatrics, University of Wisconsin, Madison, WI, United States
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Zahedipour F, Jamialahmadi K, Zamani P, Reza Jaafari M. Improving the efficacy of peptide vaccines in cancer immunotherapy. Int Immunopharmacol 2023; 123:110721. [PMID: 37543011 DOI: 10.1016/j.intimp.2023.110721] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 07/23/2023] [Accepted: 07/26/2023] [Indexed: 08/07/2023]
Abstract
Peptide vaccines have shown great potential in cancer immunotherapy by targeting tumor antigens and activating the patient's immune system to mount a specific response against cancer cells. However, the efficacy of peptide vaccines in inducing a sustained immune response and achieving clinical benefit remains a major challenge. In this review, we discuss the current status of peptide vaccines in cancer immunotherapy and strategies to improve their efficacy. We summarize the recent advancements in the development of peptide vaccines in pre-clinical and clinical settings, including the use of novel adjuvants, neoantigens, nano-delivery systems, and combination therapies. We also highlight the importance of personalized cancer vaccines, which consider the unique genetic and immunological profiles of individual patients. We also discuss the strategies to enhance the immunogenicity of peptide vaccines such as multivalent peptides, conjugated peptides, fusion proteins, and self-assembled peptides. Although, peptide vaccines alone are weak immunogens, combining peptide vaccines with other immunotherapeutic approaches and developing novel approaches such as personalized vaccines can be promising methods to significantly enhance their efficacy and improve the clinical outcomes for cancer patients.
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Affiliation(s)
- Fatemeh Zahedipour
- Department of Medical Biotechnology and Nanotechnology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Nanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Khadijeh Jamialahmadi
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Parvin Zamani
- Nanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mahmoud Reza Jaafari
- Nanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Pharmaceutical Nanotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
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Hoefges A, McIlwain SJ, Erbe AK, Mathers N, Xu A, Melby D, Tetreault K, Le T, Kim K, Pinapati RS, Garcia B, Patel J, Heck M, Feils AS, Tsarovsky N, Hank JA, Morris ZS, Ong IM, Sondel PM. Antibody landscape of C57BL/6 mice cured of B78 melanoma via immunotherapy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.24.529012. [PMID: 36896021 PMCID: PMC9996675 DOI: 10.1101/2023.02.24.529012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2023]
Abstract
Hoefges et al. utilized a whole-proteome peptide array approach to show that C57BL/6 mice develop a large repertoire of antibodies against linear peptide sequences of their melanoma after receiving a curative immunotherapy regimen consisting of radiation and an immunocytokine. Antibodies can play an important role in innate and adaptive immune responses against cancer, and in preventing infectious disease. Flow cytometry analysis of sera of immune mice that were previously cured of their melanoma through a combined immunotherapy regimen with long-term memory showed strong antibody-binding against melanoma tumor cell lines. Using a high-density whole-proteome peptide array, we assessed potential protein-targets for antibodies found in immune sera. Sera from 6 of these cured mice were analyzed with this high-density, whole-proteome peptide array to determine specific antibody-binding sites and their linear peptide sequence. We identified thousands of peptides that were targeted by 2 or more of these 6 mice and exhibited strong antibody binding only by immune, not naive sera. Confirmatory studies were done to validate these results using 2 separate ELISA-based systems. To the best of our knowledge, this is the first study of the "immunome" of protein-based epitopes that are recognized by immune sera from mice cured of cancer via immunotherapy.
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Affiliation(s)
- A Hoefges
- Department of Human Oncology, University of Wisconsin, Madison, WI, USA
| | - S J McIlwain
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA
| | - A K Erbe
- Department of Human Oncology, University of Wisconsin, Madison, WI, USA
| | - N Mathers
- Department of Human Oncology, University of Wisconsin, Madison, WI, USA
| | - A Xu
- Department of Human Oncology, University of Wisconsin, Madison, WI, USA
| | - D Melby
- Department of Human Oncology, University of Wisconsin, Madison, WI, USA
| | - K Tetreault
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA
| | - T Le
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA
| | - K Kim
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA
| | | | - B Garcia
- Nimble Therapeutics, Inc., Madison, WI, USA
| | - J Patel
- Nimble Therapeutics, Inc., Madison, WI, USA
| | - M Heck
- Department of Human Oncology, University of Wisconsin, Madison, WI, USA
| | - A S Feils
- Department of Human Oncology, University of Wisconsin, Madison, WI, USA
| | - N Tsarovsky
- Department of Human Oncology, University of Wisconsin, Madison, WI, USA
| | - J A Hank
- Department of Human Oncology, University of Wisconsin, Madison, WI, USA
| | - Z S Morris
- Department of Human Oncology, University of Wisconsin, Madison, WI, USA
| | - I M Ong
- Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA
- Department of Obstetrics and Gynecology, University of Wisconsin, Madison, WI, USA
| | - P M Sondel
- Department of Human Oncology, University of Wisconsin, Madison, WI, USA
- Department of Pediatrics, University of Wisconsin, Madison, WI, USA
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Opening opportunities for K d determination and screening of MHC peptide complexes. Commun Biol 2022; 5:488. [PMID: 35606511 PMCID: PMC9127112 DOI: 10.1038/s42003-022-03366-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 04/13/2022] [Indexed: 01/15/2023] Open
Abstract
An essential element of adaptive immunity is selective binding of peptide antigens by major histocompatibility complex (MHC) class I proteins and their presentation to cytotoxic T lymphocytes. Using native mass spectrometry, we analyze the binding of peptides to an empty disulfide-stabilized HLA-A*02:01 molecule and, due to its unique stability, we determine binding affinities of complexes loaded with truncated or charge-reduced peptides. We find that the two anchor positions can be stabilized independently, and we further analyze the contribution of additional amino acid positions to the binding strength. As a complement to computational prediction tools, our method estimates binding strength of even low-affinity peptides to MHC class I complexes quickly and efficiently. It has huge potential to eliminate binding affinity biases and thus accelerate drug discovery in infectious diseases, autoimmunity, vaccine design, and cancer immunotherapy. The authors present a sensitive and rapid method to determine the binding strength of MHC class 1 peptide complexes using native mass spectrometry.
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Vengesai A, Kasambala M, Mutandadzi H, Mduluza-Jokonya TL, Mduluza T, Naicker T. Scoping review of the applications of peptide microarrays on the fight against human infections. PLoS One 2022; 17:e0248666. [PMID: 35077448 PMCID: PMC8789108 DOI: 10.1371/journal.pone.0248666] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 01/11/2022] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION This scoping review explores the use of peptide microarrays in the fight against infectious diseases. The research domains explored included the use of peptide microarrays in the mapping of linear B-cell and T cell epitopes, antimicrobial peptide discovery, immunosignature characterisation and disease immunodiagnostics. This review also provides a short overview of peptide microarray synthesis. METHODS Electronic databases were systematically searched to identify relevant studies. The review was conducted using the Joanna Briggs Institute methodology for scoping reviews and data charting was performed using a predefined form. The results were reported by narrative synthesis in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines. RESULTS Ninety-five articles from 103 studies were included in the final data charting process. The majority (92. 0%) of the articles were published during 2010-2020 and were mostly from Europe (44.2%) and North America (34.7%). The findings were from the investigation of viral (45.6%), bacterial (32. 0%), parasitic (23.3%) and fungal (2. 0%) infections. Out of the serological studies, IgG was the most reported antibody type followed by IgM. The largest portion of the studies (77.7%) were related to mapping B-cell linear epitopes, 5.8% were on diagnostics, 5.8% reported on immunosignature characterisation and 8.7% reported on viral and bacterial cell binding assays. Two studies reported on T-cell epitope profiling. CONCLUSION The most important application of peptide microarrays was found to be B-cell epitope mapping or antibody profiling to identify diagnostic and vaccine targets. Immunosignatures identified by random peptide microarrays were found to be applied in the diagnosis of infections and interrogation of vaccine responses. The analysis of the interactions of random peptide microarrays with bacterial and viral cells using binding assays enabled the identification of antimicrobial peptides. Peptide microarray arrays were also used for T-cell linear epitope mapping which may provide more information for the design of peptide-based vaccines and for the development of diagnostic reagents.
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Affiliation(s)
- Arthur Vengesai
- Optics & Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
- Department of Biochemistry, Faculty of Medicine, Midlands State University, Gweru, Zimbabwe
| | - Maritha Kasambala
- Department of Biology, Faculty of Science and Agriculture, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
| | - Hamlet Mutandadzi
- Faculty of Medicine and Health Sciences, Parirenyatwa Hospital, University of Zimbabwe, Harare, Zimbabwe
| | - Tariro L. Mduluza-Jokonya
- Optics & Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
| | - Takafira Mduluza
- Department of Biochemistry, Faculty of Medicine, Midlands State University, Gweru, Zimbabwe
| | - Thajasvarie Naicker
- Optics & Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
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Joyce S, Ternette N. Know thy immune self and non-self: Proteomics informs on the expanse of self and non-self, and how and where they arise. Proteomics 2021; 21:e2000143. [PMID: 34310018 PMCID: PMC8865197 DOI: 10.1002/pmic.202000143] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/30/2021] [Accepted: 07/19/2021] [Indexed: 12/30/2022]
Abstract
T cells play an important role in the adaptive immune response to a variety of infections and cancers. Initiation of a T cell mediated immune response requires antigen recognition in a process termed MHC (major histocompatibility complex) restri ction. A T cell antigen is a composite structure made up of a peptide fragment bound within the antigen‐binding groove of an MHC‐encoded class I or class II molecule. Insight into the precise composition and biology of self and non‐self immunopeptidomes is essential to harness T cell mediated immunity to prevent, treat, or cure infectious diseases and cancers. T cell antigen discovery is an arduous task! The pioneering work in the early 1990s has made large‐scale T cell antigen discovery possible. Thus, advancements in mass spectrometry coupled with proteomics and genomics technologies make possible T cell antigen discovery with ease, accuracy, and sensitivity. Yet we have only begun to understand the breadth and the depth of self and non‐self immunopeptidomes because the molecular biology of the cell continues to surprise us with new secrets directly related to the source, and the processing and presentation of MHC ligands. Focused on MHC class I molecules, this review, therefore, provides a brief historic account of T cell antigen discovery and, against a backdrop of key advances in molecular cell biologic processes, elaborates on how proteogenomics approaches have revolutionised the field.
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Affiliation(s)
- Sebastian Joyce
- Department of Veterans Affairs, Tennessee Valley Healthcare System and the Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Nicola Ternette
- Centre for Cellular and Molecular Physiology, Nuffield Department of Medicine, University of Oxford, Oxford, UK
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Ronan T, Garnett R, Naegle KM. New analysis pipeline for high-throughput domain-peptide affinity experiments improves SH2 interaction data. J Biol Chem 2020; 295:11346-11363. [PMID: 32540967 DOI: 10.1074/jbc.ra120.012503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 06/11/2020] [Indexed: 11/06/2022] Open
Abstract
Protein domain interactions with short linear peptides, such as those of the Src homology 2 (SH2) domain with phosphotyrosine-containing peptide motifs (pTyr), are ubiquitous and important to many biochemical processes of the cell. The desire to map and quantify these interactions has resulted in the development of high-throughput (HTP) quantitative measurement techniques, such as microarray or fluorescence polarization assays. For example, in the last 15 years, experiments have progressed from measuring single interactions to covering 500,000 of the 5.5 million possible SH2-pTyr interactions in the human proteome. However, high variability in affinity measurements and disagreements about positive interactions between published data sets led us here to reevaluate the analysis methods and raw data of published SH2-pTyr HTP experiments. We identified several opportunities for improving the identification of positive and negative interactions and the accuracy of affinity measurements. We implemented model-fitting techniques that are more statistically appropriate for the nonlinear SH2-pTyr interaction data. We also developed a method to account for protein concentration errors due to impurities and degradation or protein inactivity and aggregation. Our revised analysis increases the reported affinity accuracy, reduces the false-negative rate, and increases the amount of useful data by adding reliable true-negative results. We demonstrate improvement in classification of binding versus nonbinding when using machine-learning techniques, suggesting improved coherence in the reanalyzed data sets. We present revised SH2-pTyr affinity results and propose a new analysis pipeline for future HTP measurements of domain-peptide interactions.
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Affiliation(s)
- Tom Ronan
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Roman Garnett
- Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Kristen M Naegle
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
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