Research
Faculty Members
Clinical Pharmacy Research and Education（Medical and Health Sciences）
Ikeda KenjiProfessor
While concurrently serving as a hospital pharmacist and a faculty member of the Faculty of Pharmaceutical Sciences, I have been working on the optimization of drug therapies for approximately 25 years. When “trying to cure a patient's illness using a medicine”, the method is slightly different for each patient even if they have the same illness. Clinical pharmacists are professionals who identify the optimal treatments for patients. To achieve this, we aim to identify new methods to improve the risk-benefit balance using various means, such as medical statistics, pharmacokinetics, genetic analysis, in vitro tests, and pharmacometrics.
Research theme
Clinical application of pharmacometrics to personalized medicine
Pharmacometric studies with more appropriate initial designs, achieve better results when measuring blood drug levels, adjusting doses, and optimizing drug therapy. We will search for pharmacokinetic and pharmacodynamic (PK/PD) models for optimal dose estimation using population analysis of clinical information or vast amounts of simulated data from random number generation methods, such as Monte Carlo simulation.
Research on drug therapy optimization using advanced therapeutic drug monitoring (TDM)
To apply a known pharmacokinetic model for optimal dose estimation in a clinical setting, a medical information system that can evaluate the risk-benefit balance in real time is required. To develop therapeutic drug monitoring systems that determine the efficacy and side effect occurrence of drugs, we are studying an information system that enables rapid evaluation from a PK/PD model at the time of the initial design of the dose and during the revision of the design.
Study on the optimization of pregnancy drug therapy based on fetal transfer
Clinical trials are difficult in perinatal medicine. Therefore, in vitro trials are used to optimize drug therapy and accurate inferences based on PK/PD models are expected to be indicators of treatment optimization. In addition to highly reliable epidemiological survey results, we will build a dynamic information technology method to estimate the appropriate drug therapy during pregnancy and develop clinical reference values.
Research on the effects of using information and communication technology on pharmacy education
In recent years, the demand for improving clinical ability and problem-solving ability has increased multi-institutional cooperation is necessary for pharmacy education and the introduction of information technology has been indispensable. It is necessary for medical professionals to be skilled in information processing. We are working on forming a foundation to making effective use of information and communication technology to make decisions regarding medication.
Representative achievements
Approach for differentiating trophoblast cell lineage from human induced pluripotent stem cells with retinoic acid in the absence of bone morphogenetic protein 4, Kenji Ikeda, Yuka Kawasaki, Hitomi Matsuda, Saho Kishida, Arina Iwasaki, Sayaka Ohata, Yoko Urashima, Yoshihiko Hirotani, Placenta, (71), pp24-30, 2018.
Pharmacokinetics of loxoprofen and cefcapene following a single combined dose in healthy volunteers before, during or immediately after 120-min enteral tube feeding of 400 mL Ensure Liquid?, Mikiko Ueda, Kazuo Harada, Kenji Ikeda, et.al., Japanese Journal of Clinical Pharmacology and Therapeutics, (48) , pp185-193, 2017.
Carrier-mediated placental transport of cimetidine and valproic acid across differentiating JEG-3 cell layers, K. Ikeda, K. Ikeda, C. Ueda, K. Yamada, A. Nakamura, Y. Hatsuda, S. Kawanishi, S. Nishii, M. Ogawa, Pharmazie, (70), pp471-476, 2015.
Postmortem analyses of drugs in pericardial fluid and bone marrow aspirate, Mariko Tominaga, Mariko Tominaga, Tomomi Michiue, Tomomi Michiue, Takaki Ishikawa, Takaki Ishikawa, Osamu Kawamoto, Osamu Kawamoto, Shigeki Oritani, Kenji Ikeda, et.al., Journal of Analytical Toxicology, (37), pp423-429, 2013.
Efflux transporter mRNA expression profiles in differentiating JEG-3 human choriocarcinoma cells as a placental transport model, Kenji Ikeda, Kenji Ikeda, K. Yamasaki, M. Homemoto, S. Yamaue, M. Ogawa, E. Nakao, Y. Fukunaga, T. Nakanishi, N. Utoguchi, M. Myotoku, Y. Hirotani, Pharmazie, (67), pp86-90, 2012.
In Vitro Approaches to Evaluate Placental Drug Transport by Using Differentiating JEG-3 Human Choriocarcinoma Cells, Kenji Ikeda, Naoki Utoguchi, Hidenobu Tsutsui, Satoko Yamaue, Manami Homemoto, et.al., Basic and Clinical Pharmacology and Toxicology, (108) , pp138-145, 2011.
Characterization of multidrug resistance-associated protein mRNAs expression profiles in Caco-2 and HT-1080 cell lines induced by methotrexate, Kenji Ikeda, M. Myotoku, Y. Hirotani, Pharmazie, (63) 12, pp883-889, 2008.
Localization of glucagon-like peptide-2 receptor mRNA expression at different sites in the small intestine of rats, Ikeda K, Myotoku M, Kurokawa N and Hirotani Y: Drug Discov. Ther. 2(1): 10-13,2008
Efforts to Ensure Safety of Hospital Pharmacy Personnel Occupationally Exposed to Antineoplastic Drugs During a Preparation Task, Kenji Ikeda, Kenji Ikeda, Yuriko Yagi, Manabu Takegami, Yuquan Lu, Kanehisa Morimoto, Nobuo Kurokawa, Hospital Pharmacy, (42) 3, pp209-218, 2007.
