2006
DOI: 10.1159/000095293
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Allergenicity Assessment of Apple Cultivars: Hurdles in Quantifying Labile Fruit Allergens

Abstract: Background: Assessment of allergenicity of foods is important for allergic consumers and regulators. Immunoassays to measure major food allergens are widely applied, often giving variable results. Using the major apple allergen Mal d 1 as a model, we aimed to establish at the molecular level why different immunoassays for assessing allergenicity of apple cultivars produce conflicting outcomes. Methods: Mal d 1 was measured in 53 cultivars from Italy and 35 from The Netherlands, using four different immunoassay… Show more

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Cited by 41 publications
(46 citation statements)
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“…The variation in Mal d 1 levels in this same apple cultivar extracts were reported earlier [13]. The maximum difference between low- and high-allergenic cultivars for Mal d 1 was similar to that now reported for LTP: up to 100-fold.…”
Section: Discussionsupporting
confidence: 88%
See 3 more Smart Citations
“…The variation in Mal d 1 levels in this same apple cultivar extracts were reported earlier [13]. The maximum difference between low- and high-allergenic cultivars for Mal d 1 was similar to that now reported for LTP: up to 100-fold.…”
Section: Discussionsupporting
confidence: 88%
“…Additionally, the even lower allergen concentrations observed in RI compared to the cELISA suggest that IgE epitopes might be relatively labile in extracts compared to the purified standard. For Mal d 1, poor conservation of IgE-binding epitopes in extracts is well established [13, 30]. The results described in this study suggest that this may – to a lesser extent – also be true for LTP.…”
Section: Discussionsupporting
confidence: 50%
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“…This general increase in the mRNA level during storage might overrule the initial pathogeninduced upregulation of Mal d 1. Mal d 1 is regarded as a protein highly susceptible to protease degradation and thus reliable quantification of the native protein is difficult to perform (Vieths et al 1995;Sancho et al 2006;Zuidmeer et al 2006). Thus, absolute data have to be treated with caution.…”
mentioning
confidence: 99%