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Application of Biochip Microfluidic Technology to Detect Serum Allergen-specific Immunoglobulin E sIgE
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Sesame allergy threshold dose distribution.

D Dano1, B C Remington2, C Astier3

  • 1EA 7299, Laboratory of Medical Hydrology and Climatology, Faculty of Medicine, Lorraine University, France; Genclis, SAS, Vandoeuvre-les-Nancy, France.

Food and Chemical Toxicology : an International Journal Published for the British Industrial Biological Research Association
|June 3, 2015
PubMed
Summary
This summary is machine-generated.

This study gathered sesame food challenge data, revealing the most sensitive patients react to 1.02 mg of sesame protein. An optimal dosing scheme was identified to improve sesame allergy diagnosis and management.

Keywords:
AllergyDose distributionModellingSesameThreshold

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Area of Science:

  • Food allergy research
  • Clinical immunology
  • Allergen immunotherapy

Background:

  • Sesame is a significant food allergen in France.
  • Limited food challenge data exists for sesame allergy.
  • More data is needed for effective sesame allergy risk management.

Purpose of the Study:

  • To collect additional sesame food challenge data.
  • To identify the most efficient food challenge method for sesame allergy.
  • To establish a population threshold for sesame allergy.

Main Methods:

  • Collected patient records with objective sesame challenge symptoms.
  • Combined new data with previously published sesame allergy studies.
  • Calculated population threshold using NOAELs and LOAELs.
  • Investigated clinical dosing schemes for sesame challenges.

Main Results:

  • Added 14 patients to existing data, totaling 35 sesame-allergic patients.
  • The most sensitive patient reacted to 1.02 mg sesame protein.
  • Estimated ED05 (1.2-4.0 mg) and ED10 (4.2-6.2 mg) of sesame protein.
  • Identified an optimal semi-log dosing scheme from 0.3 to 3000 mg protein.

Conclusions:

  • Provides updated clinical data on sesame NOAELs and LOAELs.
  • Establishing a population threshold enhances precautionary labeling credibility.
  • An optimal dosing scheme reduces diagnostic time and economic burden.