This study will be using Luminex-based peptide assay (LPA) to determine major IgE-binding epitope among wheat allergic children to differentiate clinical phenotype.
Luminex-based peptide assay (LPA) is a novel tool using machine learning techniques, developed to predict different degrees of food allergy has been successfully reported among cow's milk protein allergy. This technique provide a more precise and advanced adaptation from microarray-based immunoassay (MIA). Using this technique will aid us for the differentiation of clinical phenotypes of wheat-allergic patients. This study will be the first study to date using this technique aim to determine major IgE-binding epitope among immediated-reaction of wheat allergic children to differentiate clinical phenotypes, and may lead to further study to develop the new therapeutic approach to wheat-allergic patients.
Study Type
OBSERVATIONAL
Enrollment
100
Blood drawn will be done once using 15 mL of blood volume (Serum or plasma samples will be collected during the routine follow up of level of sIgE to wheat or during the oral food challenge test which intravenous insertion routinely prepared in case of the emergency reaction occurred). The specimen will be transferred to the Icahn School of Medicine at Mount Sinai, New York, USA for Laboratory processing (Luminex-based peptide assay)
Siriraj Hospital
Bangkoknoi, Bangkok, Thailand
Major Immunoglobulin (Ig) E-binding epitope on wheat proteins and serum/plasma of patients
For Luminex data, the binding intensity of antibody to epitope specific beads was calculated from the florescence signal of each bead. An index score of binding intensity was generated from the log2 transformation of the signal-to-background ratio and each peptide element, which was close to a normal distribution. A plate effect was observed and adjusted for using linear models. Antibody binding intensities (Luminex) from different groups were compared. To assess the changes in epitope-binding profiles, a linear model was used with group as a factor. Comparisons of interests were tested using t tests and resultant P-values were adjusted for multiple hypotheses using the Benjamini-Hochberg approach, which controls the false discovery rate (FDR) across epitopes. Epitopes were defined as differentially binding epitopes (DBE) if the FDR \< 0.05 and fold changes (FCH) \> 1.5.
Time frame: 48 months
Predict different severity of wheat hypersensitivity reaction
For Luminex data, the binding intensity of antibody to epitope specific beads was calculated from the florescence signal of each bead. An index score of binding intensity was generated from the log2 transformation of the signal-to-background ratio and each peptide element, which was close to a normal distribution. A plate effect was observed and adjusted for using linear models. Antibody binding intensities (Luminex) from different groups were compared. To assess the changes in epitope-binding profiles, a linear model was used with group as a factor. Comparisons of interests were tested using t tests and resultant P-values were adjusted for multiple hypotheses using the Benjamini-Hochberg approach, which controls the false discovery rate (FDR) across epitopes. Epitopes were defined as differentially binding epitopes (DBE) if the FDR \< 0.05 and fold changes (FCH) \> 1.5.
Time frame: 48 months
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