Repository hosted by TU Delft Library

Home · Contact · About · Disclaimer ·
 

Sesame allergy threshold dose distribution

Publication files not online:

Author: Dano, D. · Remington, B.C. · Astier, C. · Baumert, J.L. · Kruizinga, A.G. · Bihain, B.E. · Taylor, S.L. · Kanny, G.
Type:article
Date:2015
Source:Food and Chemical Toxicology, 83, 48-53
Identifier: 530894
doi: doi:10.1016/j.fct.2015.05.011
Keywords: Nutrition · Allergy · Dose distribution · Modelling · Sesame · Threshold · Food and Nutrition · Healthy Living · Life · RAPID - Risk Analysis for Products in Development · ELSS - Earth, Life and Social Sciences

Abstract

Background: Sesame is a relevant food allergen in France. Compared to other allergens there is a lack of food challenge data and more data could help sesame allergy risk management. The aim of this study is to collect more sesame challenge data and investigate the most efficient food challenge method for future studies. Method: Records of patients at University Hospital in Nancy (France) with objective symptoms to sesame challenges were collected and combined with previously published data. An estimation of the sesame allergy population threshold was calculated based on individual NOAELs and LOAELs. Clinical dosing schemes at Nancy were investigated to see if the optimal protocol for sesame is currently used. Results: Fourteen patients (10 M/4 F, 22 ± 14.85 years old) with objective symptoms were added to previously published data making a total of 35 sesame allergic patients. The most sensitive patient reacted to the first dose at challenge of 1.02 mg sesame protein. The ED05 ranges between 1.2 and 4.0 mg of sesame protein (Log-Normal, Log-Logistic, and Weibull models) and the ED10 between 4.2 and 6.2 mg. The optimal food challenge dosing scheme for sesame follows semi-log dose increases from 0.3 to 3000 mg protein. Conclusion: This article provides a valuable update to the existing clinical literature regarding sesame NOAELs and LOAELs. Establishment of a population threshold for sesame could help in increasing the credibility of precautionary labelling and decrease the costs associated with unexpected allergic reactions. Also, the use of an optimal dosing scheme would decrease time spent on diagnostic and thereafter on the economic burden of sesame allergy diagnosis. © 2015 Elsevier Ltd.