Constructing a Disease-Related Microbiome Atlas for Advancing Understanding of Microbial Functionality

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K21832
• Research Category: Grant-in-Aid for Challenging Research (Exploratory)
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 62:Applied informatics and related fields
• Research Institution: Nagoya University
• Principal Investigator: Shimamura Teppei 名古屋大学, 医学系研究科, 教授 (00623943)
• Project Period (FY): 2020-07-30 – 2023-03-31
• Keywords: メタゲノム / マルチオミクス解析 / ベイズモデリング / トピックモデル / 因子分解モデル

Outline of Final Research Achievements

In this study, we utilize Bayesian modeling techniques, previously developed by the applicant, as the technical cornerstone to address challenges in microbiome analysis such as the management of infrequently occurring microbial species and the consideration of inter-individual variability. Targeting the human microbiota, we develop Bayesian modeling techniques aimed at elucidating the functionalities of the microbiota and its correlation with health and disease. Concurrently, we construct a suite of analytical tools enabling the analysis of microbiome data from public disease-related cohort studies, and integrate these into a comprehensive database, the 'Disease-Related Microbiome Atlas'.

Free Research Field

システム生物学

Academic Significance and Societal Importance of the Research Achievements

本研究課題は、世界中に登録された公共の膨大なコホート研究の細菌叢データ（衛星地図）と最先端のベイズモデリング技術（GPS）の２つの強力なツールを駆使することによって、細菌叢の大海原で研究者が遭難しないように「予測地図」を提供することが主たる目的である。本研究の活用により、細菌叢の機能解析への障壁を取り去り、国民のQOL、細菌叢を利用した健康・医療産業の活性化にも大きく貢献することが期待される。