HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

A bioinformatics approach to identify patients with symptomatic peanut allergy using peptide microarray immunoassay.

AbstractBACKGROUND:
Peanut allergy is relatively common, typically permanent, and often severe. Double-blind, placebo-controlled food challenge is considered the gold standard for the diagnosis of food allergy-related disorders. However, the complexity and potential of double-blind, placebo-controlled food challenge to cause life-threatening allergic reactions affects its clinical application. A laboratory test that could accurately diagnose symptomatic peanut allergy would greatly facilitate clinical practice.
OBJECTIVE:
We sought to develop an allergy diagnostic method that could correctly predict symptomatic peanut allergy by using peptide microarray immunoassays and bioinformatic methods.
METHODS:
Microarray immunoassays were performed by using the sera from 62 patients (31 with symptomatic peanut allergy and 31 who had outgrown their peanut allergy or were sensitized but were clinically tolerant to peanut). Specific IgE and IgG(4) binding to 419 overlapping peptides (15 mers, 3 offset) covering the amino acid sequences of Ara h 1, Ara h 2, and Ara h 3 were measured by using a peptide microarray immunoassay. Bioinformatic methods were applied for data analysis.
RESULTS:
Individuals with peanut allergy showed significantly greater IgE binding and broader epitope diversity than did peanut-tolerant individuals. No significant difference in IgG(4) binding was found between groups. By using machine learning methods, 4 peptide biomarkers were identified and prediction models that can predict the outcome of double-blind, placebo-controlled food challenges with high accuracy were developed by using a combination of the biomarkers.
CONCLUSIONS:
In this study, we developed a novel diagnostic approach that can predict peanut allergy with high accuracy by combining the results of a peptide microarray immunoassay and bioinformatic methods. Further studies are needed to validate the efficacy of this assay in clinical practice.
AuthorsJing Lin, Francesca M Bruni, Zhiyan Fu, Jennifer Maloney, Ludmilla Bardina, Attilio L Boner, Gustavo Gimenez, Hugh A Sampson
JournalThe Journal of allergy and clinical immunology (J Allergy Clin Immunol) Vol. 129 Issue 5 Pg. 1321-1328.e5 (May 2012) ISSN: 1097-6825 [Electronic] United States
PMID22444503 (Publication Type: Journal Article, Research Support, N.I.H., Extramural)
CopyrightCopyright © 2012 American Academy of Allergy, Asthma & Immunology. Published by Mosby, Inc. All rights reserved.
Chemical References
  • 2S Albumins, Plant
  • Antigens, Plant
  • Ara h 1 protein, Arachis hypogaea
  • Ara h 2 allergen, Arachis hypogaea
  • Ara h 3 allergen, Arachis hypogea
  • Epitopes
  • Glycoproteins
  • Immunoglobulin G
  • Membrane Proteins
  • Plant Proteins
  • Immunoglobulin E
Topics
  • 2S Albumins, Plant (immunology, metabolism)
  • Adolescent
  • Antigens, Plant (immunology, metabolism)
  • Child
  • Child, Preschool
  • Computational Biology (methods)
  • Epitopes (immunology, metabolism)
  • Female
  • Glycoproteins (immunology, metabolism)
  • Humans
  • Immunization
  • Immunoglobulin E (metabolism)
  • Immunoglobulin G (metabolism)
  • Male
  • Membrane Proteins
  • Models, Biological
  • Peanut Hypersensitivity (diagnosis, immunology)
  • Plant Proteins (immunology, metabolism)
  • Predictive Value of Tests
  • Protein Array Analysis

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: