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Vaccine Design pp 673–689Cite as

Proteomics for Development of Food Allergy Vaccines

Part of the Methods in Molecular Biology book series (MIMB,volume 2410)

Abstract

Food allergy is a hypersensitivity reaction to food products initiated by immunologic mechanisms, which represents one of the major concerns in food safety. New therapies for food allergies including oral and epicutaneous allergen-specific immunotherapy are required, and B cell epitope-based allergy vaccines are a good promise to improve this field. In this chapter, we describe a workflow for the design of food allergy vaccines using proteomic tools. The strategy is defined based on the characterization of B cell epitopes for a particular food allergen. For that, the workflow comprises five consecutive steps: (1) shotgun proteomics analysis of different protein isoforms for a particular food allergen, (2) downloading all protein sequences for the specific allergen included in UniProtKB database, (3) analysis by protein-based bioinformatics of B cell epitopes, (4) synthesizing of the selected B cell peptide epitopes, and (5) performing of immunoassays using sera from healthy and allergic patients. The results from this method provide a rationale repository of B cell epitopes for the design of new specific immunotherapies for a particular food allergen. The strategy was optimized for all the beta-parvalbumins (β-PRVBs), which are considered as the main fish allergens. Using this workflow, a total of 35 peptides were identified as B cell epitopes, among them the top 4 B cell peptide epitopes that may induce protective immune response were selected as potential peptide vaccine candidates for fish allergy.

Key words

  • Food
  • Allergy
  • B cell epitopes
  • Vaccine
  • Proteomics

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References

  1. Turnbull JL, Adams HN, Gorard DA (2015) Review article: the diagnosis and management of food allergy and food intolerances. Aliment Pharmacol Ther 41:3–25

    CrossRef  CAS  PubMed  Google Scholar 

  2. Yu W, Freeland DMH, Nadeau KC (2016) Food allergy: immune mechanisms, diagnosis and immunotherapy. Nat Rev Immunol 16:751–765

    CrossRef  CAS  PubMed  PubMed Central  Google Scholar 

  3. Sicherer SH, Sampson HA (2014) Food allergy: epidemiology, pathogenesis, diagnosis, and treatment. J Allergy Clin Immunol. 133:291–308

    CrossRef  CAS  PubMed  Google Scholar 

  4. Sicherer SH, Sampson HA (2018) Food allergy: a review and update on epidemiology, pathogenesis, diagnosis, prevention, and management. J Allergy Clin Immunol 141:41–58

    CrossRef  CAS  PubMed  Google Scholar 

  5. Ben-Shoshan M, Turnbull E, Clarke A (2012) Food allergy: temporal trends and determinants. Curr Allergy Asthma Rep 12:346–372

    CrossRef  PubMed  Google Scholar 

  6. Savage J, Johns CB (2015) Food allergy: epidemiology and natural history. Immunol Allergy Clin North Am 35:45–59

    CrossRef  PubMed  Google Scholar 

  7. Satitsuksanoa P, Jansen K, Głobińska A, van de Veen W, Akdis M (2018) Regulatory immune mechanisms in tolerance to food allergy. Front Immunol. 9:2939

    CrossRef  CAS  PubMed  PubMed Central  Google Scholar 

  8. Chinthrajah RS, Hernandez JD, Boyd SD, Galli SJ, Nadeau KC (2016) Molecular and cellular mechanisms of food allergy and food tolerance. J Allergy Clin Immunol 137:984–997

    CrossRef  CAS  PubMed  PubMed Central  Google Scholar 

  9. Schülke S, Albrecht M (2019) Mouse models for food allergies: where do we stand? Cells 8:546

    CrossRef  PubMed Central  Google Scholar 

  10. Kanagaratham C, Sallis BF, Fiebiger E (2018) Experimental models for studying food allergy. CMGH 6:356–369.e1

    PubMed  PubMed Central  Google Scholar 

  11. De Martinis M, Sirufo MM, Suppa M, Ginaldi L (2020) New perspectives in food allergy. Int J Mol Sci. 21(4):1474

    CrossRef  PubMed Central  Google Scholar 

  12. Iweala OI, Nagler CR (2019) The microbiome and food allergy. Annu Rev Immunol 37:377–403

    CrossRef  CAS  PubMed  Google Scholar 

  13. Leung NYH, Wai CYY, Shu S, Wang J, Kenny TP, Chu KH, Leung PSC (2014) Current immunological and molecular biological perspectives on seafood allergy: a comprehensive review. Clin Rev Allergy Immunol 46:180–197

    CrossRef  CAS  PubMed  Google Scholar 

  14. Commins SP, Jerath MR, Cox K, Erickson LD, Platts-Mills T (2016) Delayed anaphylaxis to alpha-gal, an oligosaccharide in mammalian meat. Allergol Int 65:16–20

    CrossRef  CAS  PubMed  Google Scholar 

  15. Dreskin SC, Halsey NA, Kelso JM et al (2016) International Consensus (ICON): allergic reactions to vaccines. World Allergy Organ J 9(1):32

    CrossRef  PubMed  PubMed Central  Google Scholar 

  16. Valenta R, Karaulov A, Niederberger V et al (2018) Allergen extracts for in vivo diagnosis and treatment of allergy: is there a future? J Allergy Clin Immunol Pract 6:1845–1855.e2

    CrossRef  PubMed  PubMed Central  Google Scholar 

  17. Zhernov Y, Curin M, Khaitov M, Karaulov A, Valenta R (2019) Recombinant allergens for immunotherapy. Curr Opin Allergy Clin Immunol 19:402–414

    CrossRef  CAS  PubMed  PubMed Central  Google Scholar 

  18. Valenta R, Campana R, Focke-Tejkl M, Niederberger V (2016) Vaccine development for allergen-specific immunotherapy based on recombinant allergens and synthetic allergen peptides: lessons from the past and novel mechanisms of action for the future. J Allergy Clin Immunol 137:351–357

    CrossRef  CAS  PubMed  PubMed Central  Google Scholar 

  19. Valenta R, Campana R, Niederberger V (2017) Recombinant allergy vaccines based on allergen-derived B cell epitopes. Immunol Lett 189:19–26

    CrossRef  CAS  PubMed  PubMed Central  Google Scholar 

  20. O’Hehir RE, Prickett SR, Rolland JM (2016) T cell epitope peptide therapy for allergic diseases. Curr Allergy Asthma Rep 16:14

    CrossRef  PubMed  PubMed Central  Google Scholar 

  21. Woodfolk JA (2006) Epitope-specific T-cell responses and allergic phenotypes: implications for T-cell peptide therapy. Expert Rev Clin Immunol 2:309–318

    CrossRef  CAS  PubMed  Google Scholar 

  22. Salimi N, Fleri W, Peters B, Sette A (2010) Design and utilization of epitope-based databases and predictive tools. Immunogenetics 62:185–196

    CrossRef  CAS  PubMed  PubMed Central  Google Scholar 

  23. Martini S, Nielsen M, Peters B, Sette A (2020) The immune epitope database and analysis resource program 2003–2018: reflections and outlook. Immunogenetics 72:57–76

    CrossRef  PubMed  Google Scholar 

  24. Singh H, Raghava GP (2001) ProPred: prediction of HLA-DR binding sites. Bioinformatics 17(12):1236–1237

    Google Scholar 

  25. Nielsen M, Lundegaard C, Lund O (2007) Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method. BMC Bioinformatics 8:238

    CrossRef  PubMed  PubMed Central  Google Scholar 

  26. Jandrlić DR, Lazić GM, Mitić NS, Pavlović MD (2016) Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins. J Biomed Inform 60:120–131

    CrossRef  PubMed  Google Scholar 

  27. Yao B, Zheng D, Liang S, Zhang C (2013) Conformational B-cell epitope prediction on antigen protein structures: a review of current algorithms and comparison with common binding site prediction methods. PLoS One 8(4):e62249

    CrossRef  CAS  PubMed  PubMed Central  Google Scholar 

  28. Potocnakova L, Bhide M, Pulzova LB (2016) An introduction to B-cell epitope mapping and in silico epitope prediction. J Immunol Res 2016:6760830

    CrossRef  PubMed  PubMed Central  Google Scholar 

  29. Sharp MF, Lopata AL (2014) Fish allergy: in review. Clin Rev Allergy Immunol 46:258–271

    CrossRef  CAS  PubMed  Google Scholar 

  30. Astwood JD, Leach JN, Fuchs RL (1996) Stability of food allergens to digestion in vitro. Nat Biotechnol 14:1269–1273

    CrossRef  CAS  PubMed  Google Scholar 

  31. Arif SH, Jabeen M, Hasnain A-U (2007) biochemical characterization and thermostable capacity of parvalbumins: the major fish-food allergens. J Food Biochem 31:121–137

    CrossRef  CAS  Google Scholar 

  32. Herman RA, Roper JM, Zhang JXQ (2020) Evidence runs contrary to digestive stability predicting protein allergenicity. Transgenic Res 29:105–107

    CrossRef  CAS  PubMed  Google Scholar 

  33. Kuehn A, Swoboda I, Arumugam K, Hilger C, Hentges F (2014) Fish allergens at a glance: variable allergenicity of parvalbumins, the major fish allergens. Front Immunol 5:179

    CrossRef  PubMed  PubMed Central  Google Scholar 

  34. Saptarshi SR, Sharp MF, Kamath SD, Lopata AL (2014) Antibody reactivity to the major fish allergen parvalbumin is determined by isoforms and impact of thermal processing. Food Chem 148:321–328

    CrossRef  CAS  PubMed  Google Scholar 

  35. Eckl-Dorna J, Weber M, Stanek V et al (2019) Two years of treatment with the recombinant grass pollen allergy vaccine BM32 induces a continuously increasing allergen-specific IgG4 response. EBioMedicine 50:421–432

    CrossRef  CAS  PubMed  PubMed Central  Google Scholar 

  36. Focke-Tejkl M, Weber M, Niespodziana K et al (2015) Development and characterization of a recombinant, hypoallergenic, peptide-based vaccine for grass pollen allergy. J Allergy Clin Immunol 135:1207–1217.e11

    CrossRef  CAS  PubMed  PubMed Central  Google Scholar 

  37. Cook QS, Burks AW (2018) Peptide and recombinant allergen vaccines for food allergy. Clin Rev Allergy Immunol 55:162–171

    CrossRef  CAS  PubMed  Google Scholar 

  38. Tabesh S, Fanuel S, Fazlollahi MR, Yekaninejad MS, Kardar GA, Razavi SA (2019) Design and evaluation of a hypoallergenic peptide-based vaccine for Salsola kali allergy. Int Immunopharmacol 66:62–68

    CrossRef  CAS  PubMed  Google Scholar 

  39. Niespodziana K, Focke-Tejkl M, Linhart B, Civaj V, Blatt K, Valent P, Van Hage M, Grönlund H, Valenta R (2011) A hypoallergenic cat vaccine based on Fel d 1-derived peptides fused to hepatitis B PreS. J Allergy Clin Immunol 127:1562–1570.e6

    CrossRef  CAS  PubMed  PubMed Central  Google Scholar 

  40. Edlmayr J, Niespodziana K, Linhart B et al (2009) A combination vaccine for allergy and rhinovirus infections based on rhinovirus-derived surface protein VP1 and a nonallergenic peptide of the major Timothy Grass Pollen Allergen Phl p 1. J Immunol 182:6298–6306

    CrossRef  CAS  PubMed  Google Scholar 

  41. Carrera M, González-Fernández Á, Magadán S, Mateos J, Pedrós L, Medina I, Gallardo JM (2019) Molecular characterization of B-cell epitopes for the major fish allergen, parvalbumin, by shotgun proteomics, protein-based bioinformatics and IgE-reactive approaches. J Proteomics 200:123–133

    CrossRef  CAS  PubMed  Google Scholar 

  42. Carrera M, Cañas B, Vázquez J, Gallardo JM (2010) Extensive de Novo sequencing of new parvalbumin isoforms using a novel combination of bottom-up proteomics, accurate molecular mass measurement by FTICR-MS, and selected MS/MS ion monitoring. J Proteome Res 9:4393–4406

    CrossRef  CAS  PubMed  Google Scholar 

  43. Kolaskar AS, Tongaonkar PC (1990) A semi-empirical method for prediction of antigenic determinants on protein antigens. FEBS Lett 276:172–174

    CrossRef  CAS  PubMed  Google Scholar 

  44. Karplus PA, Schulz GE (1985) Prediction of chain flexibility in proteins - a tool for the selection of peptide antigens. Naturwissenschaften 72:212–213

    CrossRef  CAS  Google Scholar 

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Acknowledgments

This work was supported by the GAIN-Xunta de Galicia Project (IN607D 2017/01) and the Spanish AEI/EU-FEDER PID2019-103845RB-C21 project. Dr. Mónica Carrera is supported by the Ramón y Cajal contract (Ministry of Science and Innovation of Spain). Dr. Susana Magadan is supported by the Talent Retention program of Universidade de Vigo.

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Authors and Affiliations

  1. Department of Food Technology, Spanish National Research Council (CSIC), Institute of Marine Research (IIM), Pontevedra, Spain

    Mónica Carrera

  2. Biomedical Research Center (CINBIO), Universidade de Vigo, Immunology, Pontevedra, Spain

    Susana Magadán

Authors
  1. Mónica Carrera
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  2. Susana Magadán
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Corresponding author

Correspondence to Susana Magadán .

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Editors and Affiliations

  1. Lankenau Institute for Medical Research, Wynnewood, PA, USA

    Sunil Thomas

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Carrera, M., Magadán, S. (2022). Proteomics for Development of Food Allergy Vaccines. In: Thomas, S. (eds) Vaccine Design. Methods in Molecular Biology, vol 2410. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1884-4_36

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  • DOI: https://doi.org/10.1007/978-1-0716-1884-4_36

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