Akitsugu Takada
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Akitsugu Takada has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
Kanji Komatsu
Astellas Pharma, Inc., Tokyo, Japan
2 shared publicationsTakanori Shiga
Astellas Pharma, Inc., Tokyo, Japan
2 shared publicationsDorien Groenendaal‐Van de Meent
Astellas Pharma Europe B.V Leiden Netherlands
1 shared publication- Tadao Akizawa
Division of Nephrology, Department of Medicine Showa Medical University Tokyo Japan
1 shared publication Tohru Ugawa
Astellas Pharma, Inc., Tokyo, Japan
1 shared publicationTomohisa Shibata
Astellas Pharma, Inc. Tokyo Japan
1 shared publication
Latest Publications
- Open Access
- 15 April 2022
- Published by Elsevier in Drug Metabolism and Pharmacokinetics
- Vol. 46, 100461
Pharmacokinetic/pharmacodynamic modeling of roxadustat's effect on LDL cholesterol in patients in Japan with dialysis-dependent chronic kidney disease and anemia
- 15 April 2022
- Published by Elsevier in Drug Metabolism and Pharmacokinetics
- Vol. 46, 100461
Open AccessPharmacokinetic/pharmacodynamic modeling of roxadustat's effect on LDL cholesterol in patients in Japan with dialysis-dependent chronic kidney disease and anemia
- Open Access
- 5 August 2021
- Published by Wiley in British Journal of Clinical Pharmacology
- Vol. 88 (2) , 787-797
Population pharmacokinetics of roxadustat in Japanese dialysis‐dependent chronic kidney disease patients with anaemia
Aims: Our objective was to develop a population pharmacokinetic (PK) model to describe roxadustat plasma concentrations in Japanese dialysis‐dependent chronic kidney disease (DD‐CKD) patients with renal anaemia and to identify the covariate factors that affect exposure of roxadustat.Methods: In total, 367 patients (male, 256; female, 111) contributing 1285 concentration values from 4 clinical studies were analysed using a nonlinear mixed‐effects modelling approach. Candidate covariates included clinical characteristics hypothesized to affect roxadustat clearance and bioavailability, such as demographics, hepatic parameters and concomitant drugs.Results: The roxadustat PK data in Japanese DD‐CKD patients with renal anaemia were well described by a 2‐compartment disposition model with first‐order absorption and interindividual variability on clearance, central volume of distribution and absorption rate constant. Age was identified as a significant covariate on clearance. PK profiles of haemodialysis and peritoneal dialysis patients were comparable. Eighty‐two percent of patients were administered at least 1 phosphate binder (PB). The effect of PBs on roxadustat concentration was modelled as a decrease in bioavailability. Staggered administration of PBs reduced the effect on roxadustat bioavailability. The clinical impact of all covariates on roxadustat PK was mild and manageable as the roxadustat dose was titrated based on haemoglobin level and administered starting from a low dose.Conclusion: Roxadustat PK in Japanese DD‐CKD patients were successfully described by a population PK model. The identified key covariates included coadministration of PBs on the roxadustat bioavailability and age on clearance of roxadustat.
- 5 August 2021
- Published by Wiley in British Journal of Clinical Pharmacology
- Vol. 88 (2) , 787-797
Open AccessPopulation pharmacokinetics of roxadustat in Japanese dialysis‐dependent chronic kidney disease patients with anaemia
Aims: Our objective was to develop a population pharmacokinetic (PK) model to describe roxadustat plasma concentrations in Japanese dialysis‐dependent chronic kidney disease (DD‐CKD) patients with renal anaemia and to identify the covariate factors that affect exposure of roxadustat.Methods: In total, 367 patients (male, 256; female, 111) contributing 1285 concentration values from 4 clinical studies were analysed using a nonlinear mixed‐effects modelling approach. Candidate covariates included clinical characteristics hypothesized to affect roxadustat clearance and bioavailability, such as demographics, hepatic parameters and concomitant drugs.Results: The roxadustat PK data in Japanese DD‐CKD patients with renal anaemia were well described by a 2‐compartment disposition model with first‐order absorption and interindividual variability on clearance, central volume of distribution and absorption rate constant. Age was identified as a significant covariate on clearance. PK profiles of haemodialysis and peritoneal dialysis patients were comparable. Eighty‐two percent of patients were administered at least 1 phosphate binder (PB). The effect of PBs on roxadustat concentration was modelled as a decrease in bioavailability. Staggered administration of PBs reduced the effect on roxadustat bioavailability. The clinical impact of all covariates on roxadustat PK was mild and manageable as the roxadustat dose was titrated based on haemoglobin level and administered starting from a low dose.Conclusion: Roxadustat PK in Japanese DD‐CKD patients were successfully described by a population PK model. The identified key covariates included coadministration of PBs on the roxadustat bioavailability and age on clearance of roxadustat.