AllergenOnline: A peer-reviewed, curated allergen database to assess novel food proteins for potential cross-reactivity.

Richard E Goodman, Motohiro Ebisawa, Fatima Ferreira, Hugh A Sampson, Ronald van Ree, Stefan Vieths, Joseph L Baumert, Barbara Bohle, Sreedevi Lalithambika, John Wise, Steve L Taylor

Journal: Molecular nutrition & food research 2017;60(5):1183-98

PMID: 26887584

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Abstract

SCOPE

Increasingly regulators are demanding evaluation of potential allergenicity of foods prior to marketing. Primary risks are the transfer of allergens or potentially cross-reactive proteins into new foods. AllergenOnline was developed in 2005 as a peer-reviewed bioinformatics platform to evaluate risks of new dietary proteins in genetically modified organisms (GMO) and novel foods.

METHODS AND RESULTS

The process used to identify suspected allergens and evaluate the evidence of allergenicity was refined between 2010 and 2015. Candidate proteins are identified from the NCBI database using keyword searches, the WHO/IUIS nomenclature database and peer reviewed publications. Criteria to classify proteins as allergens are described. Characteristics of the protein, the source and human subjects, test methods and results are evaluated by our expert panel and archived. Food, inhalant, salivary, venom, and contact allergens are included. Users access allergen sequences through links to the NCBI database and relevant references are listed online. Version 16 includes 1956 sequences from 778 taxonomic-protein groups that are accepted with evidence of allergic serum IgE-binding and/or biological activity.

CONCLUSION

AllergenOnline provides a useful peer-reviewed tool for identifying the primary potential risks of allergy for GMOs and novel foods based on criteria described by the Codex Alimentarius Commission (2003).

Address: Food Allergy Research and Resource Program, Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE, USA.; Department of Allergy, Sagamihara National Hospital, Sagamihara, Japan.; Department of Molecular Biology, University of Salzburg, Salzburg, Austria.; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Departments of Experimental Immunology and of Otorhinolaryngology, Academic Medical Center, Amsterdam, The Netherlands.; Department of Allergology, Paul-Ehrlich-Institut, Langen, Germany.; Department of Pathophysiology and Allergy Research, Medical University of Vienna, Vienna, Austria.

DOI: 10.1002/mnfr.201500769

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MeSH Terms: Allergens, Computational Biology, Cross Reactions, Databases, Factual, Dietary Proteins, Europe, Food Hypersensitivity, Internet, Peer Review, Plants, Genetically Modified, Risk Assessment, United States