薬剤学教室

薬剤学教室

English

医薬品の体内動態を定量的に理解し、創薬の加速化と臨床での適正使用の実現を目指す。

 生物薬剤学とは、薬物を「薬剤」として患者さんに投与した後の体内の薬物の挙動を支配するメカニズムを理解する学問です。薬物の体内動態は、吸収(Absorption)、分布(Distribution)、代謝(Metabolism)、排泄(Excretion)のいわゆる"ADME"により制御されています。近年、薬物の"ADME"は、薬の物理化学的性質のみならず、様々な分子の機能により薬物選択的に支配されていることが解明されています。また、これら分子の機能は様々な要因により変動し、それらの総体として、薬物の体内動態の個人差が生まれます。
 我々は、薬物動態を支配する要因とその定量的な寄与を明らかにするとともに、in vitro実験の結果をもとにin vivo体内動態の予測に繋げるための様々な取り組みをしています。

業績

A general fluorescence off/on strategy for fluorogenic probes: Steric repulsion-induced twisted intramolecular charge transfer (sr-TICT).

Kenjiro Hanaoka, Takayuki Ikeno, Shimpei Iwaki, Sayaka Deguchi, Kazuo Takayama, Hiroyuki Mizuguchi, Fumiya Tao, Nobuhiko Kojima, Hisashi Ohno, Eita Sasaki, Toru Komatsu, Tasuku Ueno, Kazuya Maeda, Hiroyuki Kusuhara, Yasuteru Urano
Science advances, 10 (7) :eadi8847 (2024)
https://10.1126/sciadv.adi8847

 

Evaluation of the risk of diarrhea induced by epidermal growth factor receptor tyrosine kinase inhibitors with cultured intestinal stem cells originated from crypts in humans and monkeys.

Yoshiki Hashimoto, Kazuya Maeda, Osamu Shimomura, Yoshihiro Miyazaki, Shinji Hashimoto, Akiko Moriyama, Tatsuya Oda, Hiroyuki Kusuhara
Toxicology in vitro, 93 :105691 (2023)
https://10.1016/j.tiv.2023.105691
 

Model-based meta-analysis of ethnic differences and their variabilities in clearance of oral drugs classified by clearance mechanism.

Hiromi Sato, Rika Marutani, Ryota Takaoka, Daniel Mori-Fegan, Xinying Wang, Kazuya Maeda, Hiroyuki Kusuhara, Hiroshi Suzuki, Hideki Yoshioka, Akihiro Hisaka
CPT: pharmacometrics & systems pharmacology12 (8) :1132-42 (2023)
https://10.1002/psp4.12980
 

Quantitative prediction of intestinal absorption of drugs from in vitro study; utilization of differentiated intestinal epithelial cells derived from intestinal stem cells at crypts

Kazuya Maeda.
Drug Metabolism and Disposition: The Biological Fate of Chemicals51 (9) :1136-44 (2023)
https://10.1124/dmd.122.000966
 

Usefulness of human jejunal spheroid-derived differentiated intestinal epithelial cells for the prediction of intestinal drug absorption in humans

Kazuyoshi Michiba,Kazuya Maeda,Osamu Shimomura,Yoshihiro Miyazaki,Shinji Hashimoto,Tatsuya Oda,Hiroyuki Kusuhara.
Drug Metabolism and Disposition: The Biological Fate of Chemicals50 (3) :204-213 (2022)
https://10.1124/dmd.121.000796
 

Physiologically-based pharmacokinetic model-based translation of OATP1B-mediated drug–drug interactions from coproporphyrin I to probe drugs.

Mochizuki T, Aoki Y, Yoshikado T, Yoshida K, Lai Y, Hirabayashi H, Yamaura Y, Rockich K, Taskar K, Takashima T, Chu X, Zamek-Gliszczynski MJ, Mao J,Maeda K, Furihata K, Sugiyama Y, Kusuhara H.
Clin Trans Sci15 :1519-1531 (2022)
https://doi.org/10.1111/cts.13272


Frequency of null genotypes of glutathione S-transferase M1 and T1 in Japanese patients with drug-induced liver injury

Maeda K, Takikawa H, Aiso M, Tsuji K, Kagawa T, Watanabe M, Sato K, Sakisaka S, Hiasa Y, Takei Y, Ohira H, Hashimoto E, Ayada M, Ikegami T, Arakawa N, Kusuhara H, Saito Y and Sugiyama Y..
Hepatol Res52 (10) :882-887 (2022)
https://doi.org/10.1111/hepr.13812


64Cu-labeling of small extracellular vesicle surfaces via a cross-bridged macrocyclic chelator for pharmacokinetic study by positron emission tomography imaging

Warashina S, Zouda M, Mohri K, Wada Y,Maeda K, Watanabe Y and Mukai H.
Int J Pharmaceut624 :121968 (2022)
https://doi.org/10.1016/j.ijpharm.2022.121968


Construction of a culture protocol for functional bile canaliculi formation to apply human iPS cell-derived hepatocytes for cholestasis evaluation.

Horiuchi S, Kuroda Y, Oyafuso R, Komizu Y, Takaki T,Maeda K, Ishida S..
Sci. Rep.12 :15192 (2022)
https://doi.org/10.1038/s41598-022-19469-x


Predicting Total Drug Clearance and Volumes of Distribution Using the Machine Learning-Mediated Multimodal Method through the Imputation of Various Nonclinical Data

Iwata H, Matsuo T, Mamada H, Motomura T, Matsushita M, Fujiwara T,Maeda K, Handa K..
J Chem Inf Model62 :4057-4065 (2022)
https://doi.org/10.1021/acs.jcim.2c00318