2018 Fiscal Year Final Research Report
Visualization of brain protein aging and clarification of the mechanisms of neural circuit breakdown
| Project Area | Prevention of brain protein aging and dementia |
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| Project/Area Number |
26117002
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| Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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| Allocation Type | Single-year Grants |
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| Review Section |
Biological Sciences
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| Research Institution | Nagoya University |
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Principal Investigator |
Sobue Gen 名古屋大学, 医学系研究科, 特任教授 (20148315)
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| Co-Investigator(Kenkyū-buntansha) |
渡辺 宏久 名古屋大学, 脳とこころの研究センター, 特任教授 (10378177)
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| Research Collaborator |
ITO kengo
SUHARA tetsuya
KATSUNO masahisa
ATSUTA naoki
TANABE hiroki
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| Project Period (FY) |
2014-07-10 – 2019-03-31
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| Keywords | 蛋白質 / 認知症 / 脳・神経 / 老化 / 高次機能 / MRI / PET / 加齢 |
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| Outline of Final Research Achievements |
We succeeded in expanding the large-scale imaging genomic DNA omics cohort for healthy aging to 1400 cases. Using this unique database, we will clarify the dynamic changes of the human brain networks to maintain cognitive function against healthy aging. We also developed novel imaging biomarker based on brain network findings for the early diagnosis and treatment of neurodegenerative dementia. Besides, using iPSCs and animals, a new dementia model has been successfully created to show that protein dysfunction is one of the earliest phenomena of the dementia process. We clarified that loss of function of a specific protein is vital for the onset of pathological conditions. Furthermore, we have obtained results that will lead to the development of future disease-modifying therapy of neurodegenerative dementia.
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| Free Research Field |
神経内科学
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| Academic Significance and Societal Importance of the Research Achievements |
認知症は予備軍を含め1000万人時代に近づき、その病態解明と予防法確立は、我が国の最重要課題で、世界の願いである。今回の研究では、認知症発症に健常脳の加齢変化、タンパク質蓄積、脳回路破綻や、その代償機転が深く関与していることを明らかにした。一方、時間軸レベルでの加齢・疾患関連の回路破綻や代償機序解明と、関連分子基盤探索に向けた、病態や分子基盤の理解に必須となる大規模加齢・疾患画像・ゲノム・オミックスコホートの作成に成功したことは、長い時間軸を経て発症する認知症の研究推進に直結する。さらに最先端神経回路可視化技術の応用と革新、ビックデータ解析、集学的・学際的拠点形成へ先鞭を付けた。
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