Litcius/Paper detail

Biomarkers of AIT: Models of prediction of efficacy

Tiak Ju Tan, María Isabel Delgado Dolset, María M. Escribese, Domingo Barber, Janice A. Layhadi, Mohamed H. Shamji

2022Allergologie select15 citationsDOIOpen Access PDF

Abstract

cells secreting IL-10, IL-35, and TGF-β are induced. Blocking antibodies IgG, IgA, and IgG4 are increased during AIT; whereas inflammatory metabolites, such as eicosanoids, are reduced. There are multiple promising biomarkers for AIT currently being evaluated. A panomic approach is essential to better understand cellular, molecular mechanisms and their correlation with clinical outcomes. Identification of predictive biomarkers of AIT efficacy will hugely impact current practice allowing physicians to select eligible patients that are likely to respond to treatment as well as improve patients' compliance to complete the course of treatment.

Topics & Concepts

MedicineImmunologyBiomarkerTIGITAllergen immunotherapyAllergyPopulationImmunoglobulin EInterleukin 10Immune systemImmunotherapyAllergenAntibodyBiologyEnvironmental healthBiochemistryAllergic Rhinitis and SensitizationAsthma and respiratory diseasesDermatology and Skin Diseases