Summary of the project

We will utilize AI and mathematical model analysis to elucidate the mechanisms of the inter-organ networks involved in the regulation of metabolism and circulation. Based on this, we will develop a technology to more precisely detect diabetes and its co-morbidities in the pre-symptomatic stage. Furthermore, we will develop a method to control the inter-organ network with the aim of developing a method to improve the condition from the pre-symptomatic stage to the normal stage. Through this, we aim to realize a society in which, by 2050, information on diabetes and its co-morbidities will be fed back to patients, and it will be common for patients to be restored to normal in a very early stage of the disease.

Milestone by year 2030

We will develop preventive interventions for diabetes and co-morbidities and establish a simple, very early diagnostic method.

• Identify the inter-organ network systems that lead to metabolic homeostasis
• Utilize mathematical modeling to elucidate the nature of homeostasis
• Optimize methods to intervene prophylactically diabetes and its co-morbidities by regulating inter-organ network systems
• Implement a method to detect and evaluate diabetes and co-morbidities using a non-invasive biometric device

Milestone by year 2025

We propose preventive interventions for diabetes and co-morbidities and develop simple early-stage diagnostic methods.

• Identify candidate targets within the inter-organ network system that can lead to preventive intervention methods
• Propose specific preventive interventions for diabetes and co-morbidities by controlling these targets
• Create an evaluation system for human pathology using non-invasive biometric devices and demonstrate its usefulness

R&D theme progress reports

• 1. Elucidation of homeostatic mechanisms by inter-organ communication and development of therapeutic and diagnostic methods
• 2. Elucidation and control of the mechanism of multi-organ transformation in diabetes mellitus
• 3. Development of technology for easy acquisition of biometric data in humans and analysis of human data
• 4. Understanding homeostasis through mathematical model analysis and its applications, Understanding the pre-symptomatic stage of diabetes and its complications and building a database

R&D theme structure of the project

Our project consists of five R&D themes with close collaboration within and among themes 1-5.

• Theme 1: Elucidate the inter-organ network mechanisms that maintain homeostasis at the individual level
• Theme 2: Analyze both functional and morphological alterations in multiple organs/tissues in relation to inflammatory systems
• Theme 3: Develop and socially implement a simple and non-invasive method for detecting and predicting the early stages of diabetes and its co-morbidities
• Theme 4: Proceed with mathematical model analysis using animal experimental data and human biological data, leading to a comprehensive understanding by extracting key elements
• Theme 5: Collect various data on the transition from normal to diseased state over time using laboratory animals, with the aim of constructing a pre-symptomatic stage database

Leader's institution

Tohoku University

R&D institutions

Tohoku Univ., The Univ. of Tokyo, Kyoto Univ., Nagoya Univ., Chiba Univ., Hokkaido Univ., Osaka Univ., Keio Univ., Tokyo Medical and Dental Univ., Univ. of Electro-Communications, Tohoku Medical and Pharmaceutical Univ., Shiga Univ. of Medical Science, Nara Women's Univ., Iwate Medical Univ., RIKEN, Tokyo Metropolitan Institute of Medical Science

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• Summary of the project (198KB)
• Progress Report (Download all) (706KB)

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