Overview of in vivo and ex vivo endpoints in murine food allergy models: Suitable for evaluation of the sensitizing capacity of novel proteins?

Laure Castan, Katrine L. Bøgh, Natalia Z. Maryniak, Michelle M. Epstein, Sahar Kazemi, Liam O'Mahony, Marie Bodinier, Joost J. Smit, Jolanda H. M. Bilsen, Carine Blanchard, Robert Głogowski, Hana Kozáková, Martin Schwarzer, Mario Noti, Nicole Wit, Grégory Bouchaud, Shanna Bastiaan‐Net*

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Significant efforts are necessary to introduce new dietary protein sources to feed a growing world population while maintaining food supply chain sustainability. Such a sustainable protein transition includes the use of highly modified proteins from side streams or the introduction of new protein sources that may lead to increased clinically relevant allergic sensitization. With food allergy being a major health problem of increasing concern, understanding the potential allergenicity of new or modified proteins is crucial to ensure public health protection. The best predictive risk assessment methods currently relied on are in vivo models, making the choice of endpoint parameters a key element in evaluating the sensitizing capacity of novel proteins. Here, we provide a comprehensive overview of the most frequently used in vivo and ex vivo endpoints in murine food allergy models, addressing their strengths and limitations for assessing sensitization risks. For optimal lab‐to‐lab reproducibility and reliable use of predictive tests for protein risk assessment, it is important that researchers maintain and apply the same relevant parameters and procedures. Thus, there is an urgent need for a consensus on key food allergy parameters to be applied in future food allergy research in synergy between both knowledge institutes and clinicians.

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    Original languageEnglish
    Pages (from-to)289-301
    JournalAllergy
    Volume75
    Issue number2
    DOIs
    Publication statusPublished - 9 Jul 2019

    Keywords

    • animal models
    • biomarkers
    • food allergy
    • prevention

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