2022 Fiscal Year Final Research Report

Development of an Evaluation System for Synergistic Effects and Pharmacological Verification

Planned Research

PDF

Project Area	Synergy pharmaceutical science: understanding and design of compound combination effects by integrating information, material, and life sciences
Project/Area Number	20H05799
Research Category	Grant-in-Aid for Transformative Research Areas (B)
Allocation Type	Single-year Grants
Review Section	Transformative Research Areas, Section (IV)
Research Institution	The University of Tokushima
Principal Investigator	GODA Mitsuhiro 徳島大学, 大学院医歯薬学研究部(医学域), 准教授 (40585965)
Co-Investigator(Kenkyū-buntansha)	八木健太徳島大学, 病院, 特任助教 (10869085) 相澤風花徳島大学, 病院, 特任助教 (80848367) 濱野裕章徳島大学, 病院, 薬剤師 (10847289)
Project Period (FY)	2020-10-02 – 2023-03-31
Keywords	薬剤シナジー効果 / 遺伝子発現データベース / オミックスデータベース / 病態モデル解析
Outline of Final Research Achievements	This study aims to construct a disease evaluation model by integrating in silico analysis using disease genomics big data and the analysis data of cellular and animal disease models accumulated, in order to elucidate the synergy effects and mechanisms of action of drugs. Firstly, we established an evaluation system using disease models and cultured cells for the development of preventive drugs against chemotherapy-induced side effects. We validated the efficacy of candidate preventive drugs predicted by the medical big data team and partially elucidated their mechanisms of action. Next, we established an evaluation system using human chronic myelogenous leukemia (CML) cells and validated the synergy effects of combinations predicted by the AI team for CML, and elucidated the mechanisms of action.
Free Research Field	薬理学
Academic Significance and Societal Importance of the Research Achievements	本研究により得られた、薬剤の単剤および多剤併用による遺伝子・タンパク質発現プロファイルの変化が病態に及ぼす影響を解析したデータを、AI 班・医療データ班にフィードバックし、予測モデルの精度を向上させるための新規ヒトオミックスデータベースを構築している。本研究で構築する新規ヒトオミックスデータベースの活用により、画期的な多剤併用療法が臨床応用へ繋がることが期待され、基礎的側面のみならず、臨床的にも大きなインパクトを持った成果につながると考えられる。