A network-based approach for identifying suitable biomarkers for oral immunotherapy of food allergy.

ABSTRACT:

Background

Oral immunotherapy (OIT) is a promising therapeutic approach to treat food allergic patients. However, concerns with regards to safety and long-term efficacy of OIT remain. There is a need to identify biomarkers that predict, monitor and/or evaluate the effects of OIT. Here we present a method to select candidate biomarkers for efficacy and safety assessment of OIT using the computational approaches Bayesian networks (BN) and Topological Data Analysis (TDA).

Results

Data were used from fructo-oligosaccharide diet-supported OIT experiments performed in 3 independent cow's milk allergy (CMA) and 2 independent peanut allergy (PNA) experiments in mice. Bioinformatical approaches were used to understand the data structure. The BN predicted the efficacy of OIT in the CM

SUBMITTER: van Bilsen JHM 

PROVIDER: S-EPMC6480866 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature