Big-data analysis of allergy associations with gut microbiota

Abstract

Close association between intestinal microbiota and the immune system suggests possibility of developing a novel treatment method for allergy by modulating intestinal microbiota. Although time-series data with sufficient length are required for microbiota modulation, no such datasets are found which match the requirement. In this study, we apply and examine a new method to reconstruct a pseudo-temporal path of allergy development from non-time-series samples reflecting various individual states in the process of allergy development. We aim to refine this method to provide a data-driven intervention strategy for prevention of allergy.