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

Identifieur interne : 002283 ( Main/Exploration ); précédent : 002282; suivant : 002284

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

Auteurs : Jing Lin [États-Unis] ; Francesca M. Bruni ; Zhiyan Fu ; Jennifer Maloney ; Ludmilla Bardina ; Attilio L. Boner ; Gustavo Gimenez ; Hugh A. Sampson

Source :

RBID : pubmed:22444503

Descripteurs français

English descriptors

Abstract

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.

DOI: 10.1016/j.jaci.2012.02.012
PubMed: 22444503


Affiliations:


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Le document en format XML

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<div type="abstract" xml:lang="en">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.</div>
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