SEISAN KENKYU
Online ISSN : 1881-2058
Print ISSN : 0037-105X
ISSN-L : 0037-105X
Research Flash
Big-data analysis of allergy associations with gut microbiota
Akane HARAShinji NAKAOKAKazuyuki AIHARA
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JOURNAL FREE ACCESS

2018 Volume 70 Issue 3 Pages 141-144

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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.

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© 2018 Institute of Industrial Science The University of Tokyo
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