NAGASHIMA Takuya
| School of Medicine Department of Medicine | Assistant Professor |
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Paper
- ★Prevention of antipsychotic-induced hyperglycaemia by vitamin D: a data mining prediction followed by experimental exploration of the molecular mechanism
Takuya Nagashima; Hisashi Shirakawa; Takayuki Nakagawa; Shuji Kaneko
Scientific Reports, May 2016, Refereed, Not invited
Lead - Drug Repurposing Prediction and Validation From Clinical Big Data for the Effective Treatment of Interstitial Lung Disease
Soni Siswanto; Hiroki Yamamoto; Haruka Furuta; Mone Kobayashi; Takuya Nagashima; Gen Kayanuma; Kazuki Nagayasu; Yumiko Imai; Shuji Kaneko
Frontiers in Pharmacology, Sep. 2021 - Striatal TRPV1 activation by acetaminophen ameliorates dopamine D2 receptor antagonist-induced orofacial dyskinesia
Koki Nagaoka; Takuya Nagashima; Nozomi Asaoka; Hiroki Yamamoto; Chihiro Toda; Gen Kayanuma; Soni Siswanto; Yasuhiro Funahashi; Keisuke Kuroda; Kozo Kaibuchi; Yasuo Mori; Kazuki Nagayasu; Hisashi Shirakawa; Shuji Kaneko
JCI Insight, May 2021, Refereed - 日本大学医学部220万人15年間の医療ビッグデータを基にした臨床薬理学的研究
高橋 泰夫; 長島 卓也; 浅井 聰
臨床薬理, Mar. 2021, Refereed - Drug Repositioning and Target Finding Based on Clinical Evidence
Shuji Kaneko; Takuya Nagashima
Biological and Pharmaceutical Bulletin, Mar. 2020, Refereed, Not invited - Data mining approach for the treatment of drug adverse effects: olanzapine-induced hyperglycemia can be inhibited by vitamin D
Yuina Konaka; Haruka Furuta; Takuya Nagashima; Shuji Kaneko
ELCAS Journal, Mar. 2018, Refereed, Not invited - Sphingosine-1-phosphate induces Ca2+ signaling and CXCL1 release via TRPC6 channel in astrocytes
Hisashi Shirakawa; Rumi Katsumoto; Shota Iida; Takahito Miyake; Takuya Higuchi; Takuya Nagashima; Kazuki Nagayasu; Takayuki Nakagawa; Shuji Kaneko
Glia, Mar. 2017, Refereed, Not invited - 有害事象FAERSデータベースの網羅的解析によるドラッグ・リポジショニング
長島 卓也; 白川 久志; 中川 貴之; 金子 周司
日本薬学会年会要旨集, Mar. 2017 - クエチアピンによる高血糖のビタミンDによる軽減 データマイニングによる仮説導出から実験による分子メカニズムの解明まで(Prevention of quetiapine-induced hyperglycaemia by vitamin D: a data mining prediction followed by experimental exploration of the molecular mechanism)
金子 周司; 長島 卓也; 白川 久志; 中川 貴之
日本神経精神薬理学会年会プログラム・抄録集, Jul. 2016 - ビッグデータを活用した医薬品有害事象の低減と分子メカニズムの解明
長島 卓也; 白川 久志; 中川 貴之; 金子 周司
日本薬学会年会要旨集, Mar. 2016 - Non‐Linear Dose–Response Relationship for Metformin in Japanese Patients With Type 2 Diabetes: Analysis of Irregular Longitudinal Data by Interpretable Machine Learning Models
Hayato Akimoto; Takuya Nagashima; Kimino Minagawa; Takashi Hayakawa; Yasuo Takahashi; Satoshi Asai
Pharmacology Research & Perspectives, Feb. 2025 - Long‐term benefit of SGLT2 inhibitors to prevent heart failure hospitalization in patients with diabetes, with potential time‐varying benefit
Yasuo Takahashi; Kimino Minagawa; Takuya Nagashima; Takashi Hayakawa; Hayato Akimoto; Satoshi Asai
Clinical and Translational Science, Dec. 2024 - Late development of OCD-like phenotypes in Dlgap1 knockout mice
Kimino Minagawa; Takashi Hayakawa; Hayato Akimoto; Takuya Nagashima; Yasuo Takahashi; Satoshi Asai
Psychopharmacology, Aug. 2024 - Benzodiazepine-related dementia risks and protopathic biases revealed by multiple-kernel learning with electronic medical records
Takashi Hayakawa; Takuya Nagashima; Hayato Akimoto; Kimino Minagawa; Yasuo Takahashi; Satoshi Asai
DIGITAL HEALTH, Jun. 2023 - Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning models
Hayato Akimoto; Takashi Hayakawa; Takuya Nagashima; Kimino Minagawa; Yasuo Takahashi; Satoshi Asai
Frontiers in Pharmacology, May 2023 - Increased expression of glutathione peroxidase 3 prevents tendinopathy by suppressing oxidative stress
Haruka Furuta; Mari Yamada; Takuya Nagashima; Shuichi Matsuda; Kazuki Nagayasu; Hisashi Shirakawa; Shuji Kaneko
Frontiers in Pharmacology, Mar. 2023 - Early Detection of Adverse Drug Reaction Signals by Association Rule Mining Using Large-Scale Administrative Claims Data
Hiroki Yamamoto; Gen Kayanuma; Takuya Nagashima; Chihiro Toda; Kazuki Nagayasu; Shuji Kaneko
Drug Safety, Feb. 2023 - Vitamin D supplementation is effective for olanzapine-induced dyslipidemia
Zijian Zhou; Takuya Nagashima; Chihiro Toda; Mone Kobayashi; Takahide Suzuki; Kazuki Nagayasu; Hisashi Shirakawa; Satoshi Asai; Shuji Kaneko
Frontiers in Pharmacology, Feb. 2023 - Detection of Synergistic Interaction on an Additive Scale Between Two Drugs on Abnormal Elevation of Serum Alanine Aminotransferase Using Machine-Learning Algorithms
Hayato Akimoto; Takuya Nagashima; Kimino Minagawa; Takashi Hayakawa; Yasuo Takahashi; Satoshi Asai
Frontiers in Pharmacology, Jul. 2022 - Identifying Antidepressants Less Likely to Cause Hyponatremia: Triangulation of Retrospective Cohort, Disproportionality, and Pharmacodynamic Studies
Takuya Nagashima; Takashi Hayakawa; Hayato Akimoto; Kimino Minagawa; Yasuo Takahashi; Satoshi Asai
Clinical Pharmacology & Therapeutics, Mar. 2022
Lead - Signal Detection of Potential Hepatotoxic Drugs: Case-Control Study Using Both a Spontaneous Reporting System and Electronic Medical Records
Hayato Akimoto; Takuya Nagashima; Kimino Minagawa; Takashi Hayakawa; Yasuo Takahashi; Satoshi Asai
Biological and Pharmaceutical Bulletin, Oct. 2021
Lectures, oral presentations, etc.
- ★Identifying antidepressants less likely to cause hyponatremia: triangulation of retrospective cohort, disproportionality, and pharmacodynamic studies
Nagashima Takuya; Hayakawa Takashi; Akimoto Hayato; Minagawa Kimino; Takahashi Yasuo; Asai Satoshi
The 96th Annual Meeting of the Japanese Pharmacological Society, Dec. 2022 - An early and versatile detection scheme of adverse drug reactions using large-scale administrative claims data
Yamamoto Hiroki; Kayanuma Gen; Nagashima Takuya; Toda Chihiro; Nagayasu Kazuki; Kaneko Shuji
The 96th Annual Meeting of the Japanese Pharmacological Society, Dec. 2022 - Identification of the therapeutic target for tendinopathy through the combination of real world data analysis and pharmacological experiments
Furuta Haruka; Yamada Mari; Nagashima Takuya; Matsuda Shuichi; Nagayasu Kazuki; Shirakawa Hisashi; Kaneko Shuji
The 96th Annual Meeting of the Japanese Pharmacological Society, Nov. 2022 - 抗精神病薬による有害事象の軽減方法の探索: 臨床情報データベースを用いた時系列解析
戸田千尋; 岩井信太郎; 周子剣; 長岡巧樹; 古田晴香; Soni Siswanto; 長島卓也; 金子周司
第68回日本薬学会近畿支部総会・大会, Oct. 2018, Not invited - Prevention of antipsychotic-induced hyperglycemia by vitamin D: a data mining prediction followed by experimental exploration of the molecular mechanism
Takuya Nagashima; Takayuki Nakagawa; Shuji Kaneko
18th World Congress of Basic and Clinical Pharmacology, Jul. 2018, Not invited - 臨床ビッグデータ解析と薬理学的実験の統合による腱障害分子メカニズムの解明
古田晴香、長島卓也、金子周司
第67回日本薬学会近畿支部総会・大会, Oct. 2017, Not invited - 有害事象FAERSデータベースの網羅的解析によるドラッグ・リポジショニング
長島卓也; 白川久志; 中川貴之; 金子周司
日本薬学会第137年会, Mar. 2017, Not invited - 抗精神病薬が起こす高血糖のビタミンDによる防止: データマイニングによる仮説導出と実験による分子メカニズムの解明
長島卓也; 白川久志; 中川貴之; 金子周司
第26回医療薬学会年会, Sep. 2016, Not invited - ビッグデータを用いた医薬品有害事象の低減と分子メカニズムの解明
長島卓也; 白川久志; 中川貴之; 金子周司
日本薬学会第136年会, Mar. 2016, Not invited - Prevention of antipsychotic-induced hyperglycemia by vitamin D: data mining prediction and experimental approach for the molecular mechanism
Nagashima Takuya; Shirakawa Hisashi; Nakagawa Takayuki; Kaneko Shuji
The 89th Annual Meeting of the Japanese Pharmacological Society, Mar. 2016, Not invited - 培養マウスアストロサイトにおけるTRPM2の機能的解析
長島卓也; 白川久志; 中川貴之; 金子周司
第64回日本薬学会近畿支部総会・大会, Oct. 2014, Not invited - アストロサイトにおけるS1P誘発ケモカイン産生へのTRPCチャネルの関与
勝本るみ; 白川久志; 長島卓也; 中川貴之; 金子周司
第63回日本薬学会近畿支部総会・大会, Oct. 2013
