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Martino, David, PhD; Dang, Thanh, PhD; Sexton-Oates, Alexandra, BSc; Prescott, Susan, MBBS, FRACP, PhD; Tang, Mimi L.K., MBBS, PhD, FRACP, FRCPA, FAAAAI; Dharmage, Shyamali, MBBS, MSc, MD, PhD; Gurrin, Lyle, PhD; Koplin, Jennifer, PhD; Ponsonby, Anne-Louise, MD, PhD; Allen, Katrina J., MBBS, FRACP, FAAAAI, PhD; Saffery, Richard, PhD
Journal of allergy and clinical immunology, 05/2015, Letnik: 135, Številka: 5Journal Article
Background The diagnosis of food allergy (FA) can be challenging because approximately half of food-sensitized patients are asymptomatic. Current diagnostic tests are excellent makers of sensitization but poor predictors of clinical reactivity. Thus oral food challenges (OFCs) are required to determine a patient's risk of reactivity. Objective We sought to discover genomic biomarkers of clinical FA with utility for predicting food challenge outcomes. Methods Genome-wide DNA methylation (DNAm) profiling was performed on blood mononuclear cells from volunteers who had undergone objective OFCs, concurrent skin prick tests, and specific IgE tests. Fifty-eight food-sensitized patients (aged 11-15 months) were assessed, half of whom were clinically reactive. Thirteen nonallergic control subjects were also assessed. Reproducibility was assessed in an additional 48 samples by using methylation data from an independent population of patients with clinical FA. Results Using a supervised learning approach, we discovered a DNAm signature of 96 CpG sites that predict clinical outcomes. Diagnostic scores were derived from these 96 methylation sites, and cutoffs were determined in a sensitivity analysis. Methylation biomarkers outperformed allergen-specific IgE and skin prick tests for predicting OFC outcomes. FA status was correctly predicted in the replication cohort with an accuracy of 79.2%. Conclusion DNAm biomarkers with clinical utility for predicting food challenge outcomes are readily detectable in blood. The development of this technology in detailed follow-up studies will yield highly innovative diagnostic assays.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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in: SICRIS
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