R&D Project
Goal 2 R&D ProjectsTowards Overcoming Disorders Linked to Dementia based on a Comprehensive Understanding of Multiorgan Network
Project manager (PM)TAKAHASHI RyosukeProfessor, Department of Neurology Kyoto University Graduate School of Medicine
Summary of the project
One of the major sociomedical problem is the increasing rate of dementia and related disorders due to the super aging society. Recent studies have shown that systemic abnormalities such as autonomic dysfunction and chronic inflammation are already present in the early stages of dementia. Our goal is to understand how these changes alter multi-organ networks and contribute to the development of dementia. By 2050we aim to achieve ultra-early prediction and prevention of dementia, collaborating with other projects under Goal 2, and by 2030 we aim to clarify the alteration of multi-organ networks related to dementia, enabling ultra-early prediction and early return of the achievement to the society. The R&D themes in this project include research for the three most common dementia as well as the development of basic technologies supporting these research and mathematical approach to understand multi-organ networks. We will also conduct ELSI research to make our achievement acceptable to society.
Milestone by year 2030
Establishment of Whole-Body Network Atlas which can predict the development of dementia in “healthy” individuals within 10 years by analyzing non-invasive biomarkers such as blood, urine, and stool samples.
Milestone by year 2025
The development of dementia can be predicted at least one year before the onset by clarifying the alteration of multi-organ networks in individuals with dementia using invasive and non-invasive biomarkers such as peripheral blood, spinal fluid, and imaging etc.
R&D theme progress reports
- 1. Brain and multi-organ network in Alzheimer’s disease, vascular dementia and Parkinson’s disease dementia
- 2. Development and application of novel imaging, measurement, and manipulation techniques for ultra-early detection of network transformations
- 3. Elucidation of Inter-Organ Networks by AI and Mathematical Research
R&D theme structure of the project
Leader's institution
Kyoto University
R&D institutions
ExCELLS, Hiroshima Univ., Hokkaido Univ., Jikei Univ., Juntendo Univ., Keio Univ., Kobe Univ., Kyoto Univ., Kyushu Univ., Nagoya Univ., NCU, NCVC, Niigata Univ., Osaka Univ., QST, TMDU, Tokushima Univ, The Univ. of Tokyo, Univ. of Yamanashi, NCNP
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- Summary of the project (225KB)
- Progress Report (Download all) (551KB)