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

ABSTRACT:

Background

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

SUBMITTER: Lin J 

PROVIDER: S-EPMC3631605 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature