Physiologically-Based Pharmacokinetic Modeling of PAXLOVID™ with First-Order Absorption Kinetics

被引:12
作者
Sagawa, Kazuko [1 ]
Lin, Jian [2 ]
Jaini, Rohit [1 ,3 ]
Di, Li [2 ]
机构
[1] Pfizer Worldwide Res & Dev, Pharmaceut Sci, 445 Eastern Point Rd, Groton, CT 06340 USA
[2] Pfizer Worldwide Res & Dev, Pharmacokinetics Dynam & Metab, 445 Eastern Point Rd, Groton, CT 06340 USA
[3] Pfizer Worldwide Res & Dev, Pharmaceut Sci, 1 Portland St, Cambridge, MA 02139 USA
关键词
human pharmacokinetics; nirmatrelvir; paxlovid; PBPK modeling; ritonavir; LOW-DOSE RITONAVIR; COMPLEX-DRUG INTERACTIONS; P-GLYCOPROTEIN; IN-VITRO; INTESTINAL-ABSORPTION; PROTEASE INHIBITORS; GASTROINTESTINAL ABSORPTION; TISSUE DISTRIBUTION; SUBSTRATE; PERMEABILITY;
D O I
10.1007/s11095-023-03538-5
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
PurposePAXLOVID (TM) is nirmatrelvir tablets co-packaged with ritonavir tablets. Ritonavir is used as a pharmacokinetics (PK) enhancer to reduce metabolism and increase exposure of nirmatrelvir. This is the first disclosure of Paxlovid physiologically-based pharmacokinetic (PBPK) model.MethodsNirmatrelvir PBPK model with first-order absorption kinetics was developed using in vitro, preclinical, and clinical data of nirmatrelvir in the presence and absence of ritonavir. Clearance and volume of distribution were derived from nirmatrelvir PK obtained using a spray-dried dispersion (SDD) formulation where it is considered to be dosed as an oral solution, and absorption is near complete. The fraction of nirmatrelvir metabolized by CYP3A was estimated based on in vitro and clinical ritonavir drug-drug interaction (DDI) data. First-order absorption parameters were established for both SDD and tablet formulation using clinical data. Nirmatrelvir PBPK model was verified with both single and multiple dose human PK data, as well as DDI studies. Simcyp (R) first-order ritonavir compound file was also verified with additional clinical data.ResultsThe nirmatrelvir PBPK model described the observed PK profiles of nirmatrelvir well with predicted AUC and C-max values within +/- 20% of the observed. The ritonavir model performed well resulting in predicted values within twofold of observed.ConclusionsPaxlovid PBPK model developed in this study can be applied to predict PK changes in special populations, as well as model the effect of victim and perpetrator DDI. PBPK modeling continues to play a critical role in accelerating drug discovery and development of potential treatments for devastating diseases such as COVID-19. NCT05263895, NCT05129475, NCT05032950 and NCT05064800.
引用
收藏
页码:1927 / 1938
页数:12
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