Application of Physiologically Based Pharmacokinetic Modeling to Predict Pharmacokinetics in Healthy Japanese Subjects

• Published in: Clinical pharmacology and therapeutics Vol. 105; no. 4; pp. 1018 - 1030
• Main Authors: Matsumoto, Yuki, Cabalu, Tamara, Sandhu, Punam, Hartmann, Georgy, Iwasa, Takashi, Yoshitsugu, Hiroyuki, Gibson, Christopher, Uemura, Naoto
• Format: Journal Article
• Language: English
• Published: United States 01.04.2019
• Subjects: Adult; Area Under Curve; Asian Continental Ancestry Group; Computer Simulation; Double-Blind Method; Female; Healthy Volunteers; Humans; Male; Models, Biological; Pharmaceutical Preparations - metabolism; Pharmacokinetics; Young Adult
• DOI: 10.1002/cpt.1240
• ISSN: 0009-9236

Pharmacokinetics (PKs) in Japanese healthy subjects were simulated for nine compounds using physiologically based PK (PBPK) models parameterized with physicochemical properties, preclinical absorption, distribution, metabolism, and excretion (ADME) data, and clinical PK data from non‐Japanese subjects. For each dosing regimen, 100 virtual trials were simulated and predicted/observed ratios for peak plasma concentration (Cmax) and area under the curve (AUC) were calculated. As qualification criteria, it was prespecified that >80% of simulated trials should demonstrate ratios to observed data ranging from 0.5–2.0. Across all compounds and dose regimens studied, 93% of simulated Cmax values in Japanese subjects fulfilled the criteria. Similarly, for AUC, 77% of single‐dosing regimens and 100% of multiple‐dosing regimens fulfilled the criteria. In summary, mechanistically incorporating the appropriate ADME properties into PBPK models, followed by qualification using non‐Japanese clinical data, can predict PKs in the Japanese population and lead to efficient trial design and conduct of Japanese phase I studies.