Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
LGC Clinical Diagnostics

Download Mobile App




Microarray Immunoassay Identifies Patients with Peanut Allergy

By LabMedica International staff writers
Posted on 28 May 2012
An allergy diagnostic method has been developed that could correctly predict symptomatic peanut allergy by using peptide microarray immunoassays and bioinformatic methods.

Peanut allergy is relatively common, typically permanent, and often severe and a laboratory test that could accurately diagnose symptomatic peanut allergy would greatly facilitate clinical practice.

Scientists at the Mount Sinai School of Medicine, (New York, NY, USA) recruited selectively 62 children and adolescents from a larger group of referred patients for the evaluation of peanut allergy between 2001 and 2007. Of the 62 patients, 31 had symptomatic peanut allergy and 31 had outgrown their peanut allergy or were sensitized, but were clinically tolerant to peanut.

A peptide microarray immunoassay was used to compare immunoglobulin E (IgE) and IgG4 binding to the peptides of three major peanut allergens between those with symptomatic peanut allergy and those who had outgrown their allergy or were sensitized but clinically tolerant to peanut ingestion. Specific IgE and IgG4 binding to 419 overlapping peptides covering the amino acid sequences of Arachis hypogaea (Ara h) allergens 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. The library of overlapping peptides was printed in two sets of duplicates onto Arrayit SuperEpoxy glass slides (Arrayit Corporation, Sunnyvale, CA, USA).

The patients who had symptomatic peanut allergy showed significantly greater IgE binding and broader epitope diversity than did peanut-tolerant individuals. No significant difference in IgG4 binding was found between groups. By using machine-learning methods, four 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.

The authors concluded that the novel diagnostic approach could predict peanut allergy with high accuracy by combining the results of a peptide microarray immunoassay and bioinformatic methods. However, they note that further studies are needed to validate the efficacy of this assay in clinical practice. The study was published on in the May 2012 issue of the Journal of Allergy and Clinical Immunology.

Related Links:
Arrayit Corporation
Mount Sinai School of Medicine



Gold Member
Chagas Disease Test
CHAGAS Cassette
Verification Panels for Assay Development & QC
Seroconversion Panels
New
HIV Test
Anti-HIV (1/2) Rapid Test Kit
New
Silver Member
HPV Molecular Controls
ZeptoMetrix® HPV Type 16, 18, 45 & 68 Molecular Controls
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: The tiny clay-based materials can be customized for a range of medical applications (Photo courtesy of Angira Roy and Sam O’Keefe)

‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection

Thousands of commercially available glowing molecules known as fluorophores are commonly used in medical imaging, disease detection, biomarker tagging, and chemical analysis. They are also integral in... Read more

Microbiology

view channel
Image: The lab-in-tube assay could improve TB diagnoses in rural or resource-limited areas (Photo courtesy of Kenny Lass/Tulane University)

Handheld Device Delivers Low-Cost TB Results in Less Than One Hour

Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more

Pathology

view channel
Image: The ready-to-use DUB enzyme assay kits accelerate routine DUB activity assays without compromising data quality (Photo courtesy of Adobe Stock)

Sensitive and Specific DUB Enzyme Assay Kits Require Minimal Setup Without Substrate Preparation

Ubiquitination and deubiquitination are two important physiological processes in the ubiquitin-proteasome system, responsible for protein degradation in cells. Deubiquitinating (DUB) enzymes contain around... Read more

Technology

view channel
Image: The HIV-1 self-testing chip will be capable of selectively detecting HIV in whole blood samples (Photo courtesy of Shutterstock)

Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples

As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.