Positive Phadiatop Infant (Phinf) can predict allergic disease during childhood

Phage Immunoprecipitation Sequencing (PhIP-Seq) for Analyzing Antibody Epitope Repertoires Against Food Antigens

While thousands of food and environmental allergens have been reported, conventional methods for allergy testing typically rely on measuring immunoglobulin E (IgE) binding against panels of dozens to hundreds of antigens. Beyond IgE, also the specificity of other Ig (sub-)classes such as IgG4, has gained interest because of a potential protective role toward allergy.Phage immunoprecipitation sequencing (PhIP-Seq) allows to study hundreds of thousands of rationally selected peptide antigens and to resolve binding specificities of different Ig classes. This technology combines synthetic DNA libraries encoding antigens, with the display on the surface of T7 bacteriophages and next-generation sequencing (NGS) for quantitative readouts. Thereby binding of entire Ig repertoires can be measured to detect the exact epitopes of food allergens and to study potential cross-reactivity.In this chapter, we provide a summary of both the key experimental steps and various strategies for analyzing PhIP-Seq datasets, as well as comparing the advantages and disadvantages of this methodology for measuring antibody responses against food antigens.

Biomarkers of diagnosis and resolution of food allergy

Food allergy is increasing in prevalence, affecting up to 10% of children in developed countries. Food allergy can significantly affect the quality of life and well-being of patients and their families; therefore, an accurate diagnosis is of extreme importance. Some food allergies can spontaneously resolve in 50%-60% of cow's milk and egg-allergic, 20% of peanut-allergic and 9% of tree nut-allergic children by school age. For that reason, food-allergic status should be monitored over time to determine when to reintroduce the food back into the child's diet. The gold-standard to confirm the diagnosis and the resolution of food allergy is an oral food challenge; however, this involves the risk of causing an acute-allergic reaction and requires clinical experience and resources to treat allergic reactions of any degree of severity. In the clinical setting, biomarkers have been used and validated to enable an accurate diagnosis when combined with the clinical history, deferring the oral food challenge, whenever possible. In this review, we cover the tools available to support the diagnosis of food allergies and to predict food allergy resolution over time. We review the latest evidence on different testing modalities and how effective they are in guiding clinical decision making in practice. We also evaluate predictive test cut-offs for the more common food allergens to try and provide guidance on when challenges might be most successful in determining oral tolerance in children.