Novel Biomarkers and Diagnostic Tools in Food Allergy.

The double-blind placebo-controlled oral food challenge (DBPCFC) has been the "gold standard" for diagnosing IgE-mediated food allergy for the past 50 years. Despite tremendous strides in our understanding of basic mechanisms and clinical features of food allergy, we remain dependent on refinements of old technologies, i.e., skin tests and serum IgE measurements, to complement clinical history in making an accurate diagnosis of food allergies. However, recent technical advances in two effector cell assays, i.e., the basophil and mast cell activation tests, may soon bring these diagnostic biomarkers to the clinic. In addition, new advances in antibody assays, T-cell assays, transcriptomics, and metabolomics in conjunction with machine learning and artificial intelligence may soon enable us to diagnose food allergy and accurately monitor immunotherapeutic outcomes without the need for an oral food challenge.

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Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-11-05
DOI
https://doi.org/10.48620/92303
Primary Topic
Food Allergy and Anaphylaxis Research
Type
article
Field-Weighted Citation Impact
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article

Novel Biomarkers and Diagnostic Tools in Food Allergy.

Open Access CRIS of the University of Bern
Food Allergy and Anaphylaxis Research
article

Novel Biomarkers and Diagnostic Tools in Food Allergy.

article en

Abstract

The double-blind placebo-controlled oral food challenge (DBPCFC) has been the "gold standard" for diagnosing IgE-mediated food allergy for the past 50 years. Despite tremendous strides in our understanding of basic mechanisms and clinical features of food allergy, we remain dependent on refinements of old technologies, i.e., skin tests and serum IgE measurements, to complement clinical history in making an accurate diagnosis of food allergies. However, recent technical advances in two effector cell assays, i.e., the basophil and mast cell activation tests, may soon bring these diagnostic biomarkers to the clinic. In addition, new advances in antibody assays, T-cell assays, transcriptomics, and metabolomics in conjunction with machine learning and artificial intelligence may soon enable us to diagnose food allergy and accurately monitor immunotherapeutic outcomes without the need for an oral food challenge.

Open Access CRIS of the University of Bern
Center for Rheumatology (US)
Zero hunger
Openalex Percentile: Top 34%
Food Allergy and Anaphylaxis Research
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