R&D Project

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MATSUURA Yoshiharu PM Photo

Goal 2 R&D Projects (Selected in 2020)Understanding and Control of Virus-Human Interaction NetworksJPMJMS2025

Project manager (PM)MATSUURA YoshiharuSpecially Appointed Professor, Center for Infectious Disease Education and Research, The University of Osaka

Summary of the project

We are shifting from conventional "virus-targeted" approaches to preemptive strategies evaluating host responses via as a balance of multiple biological reactions, such as immunity, inflammation, and metabolism. By integrating AI and clinical data to pattern these responses, we will enable ultra-early preemptive interventions with optimal existing drugs, even against unknown viruses (Disease X). Our goal is to socially implement ultimate stratified medicine, mitigate the societal impact of infectious diseases by 2050.

Milestone by year 2030

Regarding the framework for ultra-early prediction based on host response patterns, the performance in predicting the risk of disease onset and severity at an early stage post-infection will be quantitatively verified based on human clinical data for at least one infectious disease area, establishing a scientific basis for proceeding to clinical research and corporate collaboration.

R&D Items through FY2025

R&D Items from FY2026

  • [101] Development of Severity Prediction Indicators Based on Host Response Patterns in Acute Respiratory Infections
  • [102] Establishment of Preemptive Intervention Decision-Making and Operational Platforms Based on Host Response Patterns
  • [111] Construction of a Host-Targeted Drug Discovery Platform Based on Host Response Patterns
  • [112] Standardization of Host Response Patterns and Construction of a Data Utilization Platform for Clinical Implementation
  • [113] Creation of Innovative Measurement Technologies for Spatiotemporal Visualization of Immune Responses
  • [114] Elucidation of Common Host Response Principles Across Organs and Construction of an Infection Model Linkage Platform
  • [115] Elucidation of Molecular Mechanisms in Metabolic and Signaling Networks and Creation of a Stratification Platform via Modeling
  • [116] Construction of a Translational Analysis Platform Connecting Infection Models with Clinical Data

Performers

R&D Item [101][112] KAMITANI Wataru Gunma University
R&D Item [101][111][112] NAKAJIMA Hiroshi Chiba University
R&D Item [101][102] SAWA Shinichiro Kyushu University
R&D Item [101][112] KAWAKAMI Eiryo Chiba University
R&D Item [101][116] SHIMAMURA Teppei Institute of Science Tokyo
R&D Item [101][111][114] MATSUURA Yoshiharu The University of Osaka
R&D Item [101][112] YAMAMOTO Masahiro The University of Osaka
R&D Item [101][102] IWAMI Shingo Nagoya University
R&D Item [102][111][114] MORIISHI Kohji University of Yamanashi
R&D Item [102][113] OKADA Takaharu RIKEN
R&D Item [102][115] HASE Koji The University of Tokyo
R&D Item [102][112] SUZUKI Tadaki Japan Institute for Health Security
R&D Item [111] SUZUKI Tadaki Chiba University
R&D Item [102] NAKAGOMI Saya The University of Osaka
R&D Item [111][112][115] YASUTOMO Koji Tokushima University
Theme [111][115] TAKEUCHI Osamu Kyoto University
Theme [112][114] ORBA Yasuko Hokkaido University
Theme [112][114] KOBAYASHI Takeshi The University of Osaka
Theme [112][114] YASUDA Jiro Nagasaki University
Theme [112][116] SUZUKI Yutaka The University of Tokyo
Theme [112] OKADA Yasushi RIKEN
Theme [113] OKADA Yasushi The University of Tokyo
Theme [112][113] IKEHARA Yuzuru Chiba University
Theme [115] SAKANE Ayuko Tokushima University

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