この目的を達成するために、下記の Dry 研究および Wet 研究を行っている。 ①レギュラトリーサイエンスおよびトランスレーショナルリサーチに関する研究：大規模臨床副作用データベースを用いた医薬品の副作用情報の収集、解析、加工、および得られたエビデンスの臨床での活用 ② LC-MS を利用した生体マトリックス中薬物濃度の高感度分析法およびその臨床応用 ③リピドミクス手法を用いたスフィンゴリン脂質代謝物の新規疾患バイオマーカーの探索
Our mission is to create a new "knowledge" for the proper use of pharmaceutical products through the basic and/or clinical research. We develop the collected data into information through evaluation and analysis.
From the "information", we find the universal "knowledge", which is useful in medicine, and transmit it to the world. We produce quality graduates/researchers who have a comprehensive, panoramic view in the data management process. We perform both of dry and wet research toward our goal as listed below. 1 . Research of regulatory science and translational research. 2 . Development and application of a new LC-MS method for drug molecules and/or metabolites in biological matrices. 3 . Discovery and validation of new disease biomarker, using lipidomics analysis.
研究課題 Research Objectives
医療情報データベースを用いたドラッグリポジショニング Drug repositioning research using real-world data and real-world evidence
有害事象自発報告ビッグデータを用いた医薬品適正使用に係る解析 Evaluation of adverse event profile using a spontaneous reporting system
リピドミクスによる新規白血病バイオマーカーの探索と臨床応用 Lipidomics analysis for leukemia using LC-MS
リピドミクスによる新規アトピー性皮膚炎バイオマーカーの探索と検証 Lipidomics analysis for atopic dermatitis using LC-MS
マイクロドーズ手法の TDM への応用 Development of micro-dosing technique for therapeutic drug monitoring
最近の研究成果 Research Results
Miyasaka K, Hirofuji S, Maezawa M, Nakao S, Yamashita M, Ichihara N, Nokura Y, Hirofumi H, Iguchi K, Nakamura M. Evaluation of Antipsychotic-Induced Neuroleptic Malignant Syndrome Using a Self-Organizing Map. Cureus, 2024. 16(8), e68260.
Yamashita M, Maezawa M, Wakabayashi W, Hirofuji S, Miyasaka K, Ichihara N, Nokura Y, Matsui K, Nakao S, Tanaka H, Nakamura M. Relationships between acute generalized eruptive pustulosis, age, sex, primary dis ease, and prescription medications: Furt her analysis of the Japanese Adverse Dr ug Event Report database. HELIYON, 2024. 2024, e27800.
Oura K, Tanaka M, Matsumoto K, Satake R, Inoue M, Yoshida Y, Wakabayashi W, Hasegawa S, Iwata M, Suzuki T, Maezawa M, Liao J, Iguchi K, Nakamura M. Analysis of drug-induced interstitial lung disease caused by herbal medicine using the Japanese Adverse Drug Event Report database. BMC Complementary Medicine and Therapies, 2024. 24, 121.
Iwata M, Maezawa M, Miyasaka K, Hirofuji S, Suzuki T, Nakao S, Tamaki H, Ichihara N, Nokura Y, Masuta M, Uranishi H, Nishibata Y, Iguchi K, Nakamura M. Survey of community and hospital pharmacist involvement in outpatient chemotherapy using Japanese health information data. Journal of Pharmaceutical Policy and Practice, 2024. 17, 2286350.
Maezawa M, Miyasaka K, Hirofuji S, Wakabayashi W, Iwata M, Nakao S, Akase T, Iguchi K, Nakamura M. Identification of drugs and patient profiles at risk for severe skin injuries due to extravasation: Analysis of a spontaneous reporting system. Journal of Infusion Nursing, 2024. 47(4), 233-248.
