R&D Project

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

By comprehensively understanding the interaction network between viruses and the human body and classifying their patterns, we will preemptively prepare effective methods for diagnosing, preventing, and treating unknown viral infections. As a result, we aim to realize a society free from the threat of viral infections by 2050.

Milestone by year 2030

Even if an unknown virus emerges, starting appropriate treatment at an early stage of infection can prevent the onset of infectious disease. Specifically, we will create a mathematical model based on the biological reaction caused by virus infection and classify the virus anew. In addition, we will identify biomarkers that detect early physical responses after virus infection and develop optimal diagnostic, therapeutic, and preventive methods for each class of viruses.

Classification of viruses based on host response patterns

Milestone by year 2025

Toward the development of early diagnostic methods and effective prevention and treatment methods for viral infections, we will classify viruses based on biological reactions.

Classification of viruses into patterns of network structures using the database of biological responses to viral infections

R&D Themes through FY2025

R&D Themes 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

Theme [101][112] KAMITANI Wataru Gunma University
Theme [101][111][112] NAKAJIMA Hiroshi Chiba University
Theme [101][102] SAWA Shinichiro Kyushu University
Theme [101][112] KAWAKAMI Eiryo Chiba University
Theme [101][116] SHIMAMURA Teppei Institute of Science Tokyo
Theme [101][111][114] MATSUURA Yoshiharu The University of Osaka
Theme [101][112] YAMAMOTO Masahiro The University of Osaka
Theme [101][102] IWAMI Shingo Nagoya University
Theme [102][111][114] MORIISHI Kohji University of Yamanashi
Theme [102][113] OKADA Takaharu RIKEN
Theme [102][115] HASE Koji The University of Tokyo
Theme [102][112] SUZUKI Tadaki Japan Institute for Health Security
Theme [111] SUZUKI Tadaki Chiba University
Theme [102] NAKAGOMI Saya The University of Osaka
Theme [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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