研究業績

論文

  1. Akimoto H, Nagashima T, Minagawa K, Hayakawa T, Takahashi Y, Asai S.: Non-Linear Dose-Response Relationship for Metformin in Japanese Patients With Type 2 Diabetes: Analysis of Irregular Longitudinal Data by Interpretable Machine Learning Models. Pharmacology Research & Perspectives 13(1): e70055, 2025.
  2. Minagawa K, Hayakawa T, Akimoto H, Nagashima T, Takahashi Y, Asai S.: Late development of OCD-like phenotypes in Dlgap1 knockout mice. Psychopharmacology: 242(1): 215-231, 2025.
  3. Takahashi Y, Minagawa K, Nagashima T, Hayakawa T, Akimoto H, Asai S.: Long-term benefit of SGLT2 inhibitors to prevent heart failure hospitalization in patients with diabetes, with potential time-varying benefit. Clinical and Translational Science 17(12): e70088, 2024.
  4. Hayakawa T, Nagashima T, Akimoto H, Minagawa K, Takahashi Y, Asai S.: Benzodiazepine-related dementia risks and protopathic biases revealed by multiple-kernel learning with electronic medical records. Digital Health 9: 20552076231178577, 2023.
  5. Akimoto H, Hayakawa T, Nagashima T, Minagawa K, Takahashi Y, Asai S.: Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning models. Frontiers in Pharmacology 14: 1176096, 2023.
  6. Yamazaki K, Terao C, Takahashi A, Kamatani Y, Matsuda K, Asai S, Takahashi Y.: Genome-wide Association Studies Categorized by Class of Antihypertensive Drugs Reveal Complex Pathogenesis of Hypertension with Drug Resistance. Clinical Pharmacology &Therapeutics 114(2): 393-403, 2023.
  7. Akimoto H, Nagashima T, Minagawa K, Hayakawa T, Takahashi Y, Asai S.: Detection of Synergistic Interaction on an Additive Scale Between Two Drugs on Abnormal Elevation of Serum Alanine Aminotransferase Using Machine-Learning Algorithms. Frontiers in Pharmacology 13: 910205, 2022.
  8. Nagashima T, Hayakawa T, Akimoto H, Minagawa K, Takahashi Y, Asai S.: Identifying Antidepressants Less Likely to Cause Hyponatremia: Triangulation of Retrospective Cohort, Disproportionality, and Pharmacodynamic Studies. Clinical Pharmacology & Therapeutics 111(6): 1258-1267, 2022.
  9. Akimoto H, Nagashima T, Minagawa K, Hayakawa T, Takahashi Y, Asai S.: Signal Detection of Potential Hepatotoxic Drugs:Case-Control Study Using Both a Spontaneous Reporting System and Electronic Medical Records. Biological & Pharmaceutical Bulletin 44 (10) : 1514-1523, 2021.
  10. Sakaue S, Kanai M, Tanigawa Y, Karjalainen J, Kurki M, Koshiba S, Narita A, Konuma T, Yamamoto K, Akiyama M, Ishigaki K, Suzuki A, Suzuki K, Obara W, Yamaji K, Takahashi K, Asai S, Takahashi Y, Suzuki T, Shinozaki N, Yamaguchi H, Minami S, Murayama S, Yoshimori K, Nagayama S, Obata D, Higashiyama M, Masumoto A, Koretsune Y; FinnGen, Ito K, Terao C, Yamauchi T, Komuro I, Kadowaki T, Tamiya G, Yamamoto M, Nakamura Y, Kubo M, Murakami Y, Yamamoto K, Kamatani Y, Palotie A, Rivas MA, Daly MJ, Matsuda K, Okada Y. : Across-population atlas of genetic associations for 220 human phenotypes. Nature Genetics 53 (10) : 1415-1424, 2021.
  11. Takahashi Y, Yamazaki K, Kamatani Y, Kubo M, Masuda K, Asai S. : A genome-wide association study identifies a novel candidate locus at the DLGAP1 gene with susceptibility to resistant hypertension in the Japanese population. Scientific Reports 11 (1) : 19497, 2021.
  12. Akimoto H, Takahashi Y, Asai S. : Effects of Fibrates on Risk of Development of Diabetic Retinopathy in Japanese Working Age Patients with Type 2 Diabetes and Dyslipidemia: a Retrospective Cohort Study. Yakugaku Zasshi 141 (5) : 761-769, 2021.
  13. Takeuchi S, Takahashi Y, Asai S. : Comparison of pleiotropic effects of statins vs fibrates on laboratory parameters in patients with dyslipidemia: A retrospective cohort study. Medicine (Baltimore) 99 (50) : e23427, 2020.
  14. Ishigaki K, Akiyama M, Kanai M, Takahashi A, Kawakami E, Sugishita H, Sakaue S, Matoba N, Low SK, Okada Y, Terao C, Amariuta T, Gazal S, Kochi Y, Horikoshi M, Suzuki K, Ito K, Koyama S, Ozaki K, Niida S, Sakata Y, Sakata Y, Kohno T, Shiraishi K, Momozawa Y, Hirata M, Matsuda K, Ikeda M, Iwata N, Ikegawa S, Kou I, Tanaka T, Nakagawa H, Suzuki A, Hirota T, Tamari M, Chayama K, Miki D, Mori M, Nagayama S, Daigo Y, Miki Y, Katagiri T, Ogawa O, Obara W, Ito H, Yoshida T, Imoto I, Takahashi T, Tanikawa C, Suzuki T, Sinozaki N, Minami S, Yamaguchi H, Asai S, Takahashi Y, Yamaji K, Takahashi K, Fujioka T, Takata R, Yanai H, Masumoto A, Koretsune Y, Kutsumi H, Higashiyama M, Murayama S, Minegishi N, Suzuki K, Tanno K, Shimizu A, Yamaji T, Iwasaki M, Sawada N, Uemura H, Tanaka K, Naito M, Sasaki M, Wakai K, Tsugane S, Yamamoto M, Yamamoto K, Murakami Y, Nakamura Y, Raychaudhuri S, Inazawa J, Yamauchi T, Kadowaki T, Kubo M, Kamatani Y. : Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases. Nature Genetics 52 (7) : 669-679, 2020.
  15. Ishii M, Ishii Y, Nakayama T, Takahashi Y, Asai S. : 13C-caffeine breath test identifies single nucleotide polymorphisms associated with caffeine metabolism. Drug Metabolism and Pharmacokinetics 35 (3) : 321-328, 2020.
  16. Nishida Y, Takahashi Y, Tezuka K, Akimoto H, Nakayama T, Asai S. : Comparative effect of dipeptidyl-peptidase 4 inhibitors on laboratory parameters in patients with diabetes mellitus. BMC Pharmacology & Toxicology 21 (1) : 28, 2020.

研究費　2013年以降の概算金額　3.4億円

AMED　合計　145,560千円

科研費　合計　28,080千円

その他　合計　157,525千円

日本大学医学部
生体機能医学系薬理学分野　臨床試験研究センター
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