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A Novel Integrated Pharmacokinetic-Pharmacodynamic Model to Evaluate Combination Therapy and Determine In Vivo Synergism.

Authors :
Choi, Young Hee
Choi, Young Hee
Zhang, Chao
Liu, Zhenzhen
Tu, Mei-Juan
Yu, Ai-Xi
Yu, Ai-Ming
Choi, Young Hee
Choi, Young Hee
Zhang, Chao
Liu, Zhenzhen
Tu, Mei-Juan
Yu, Ai-Xi
Yu, Ai-Ming
Source :
The Journal of pharmacology and experimental therapeutics; vol 377, iss 3, 305-315; 0022-3565
Publication Year :
2021

Abstract

Understanding pharmacokinetic (PK)-pharmacodynamic (PD) relationships is essential in translational research. Existing PK-PD models for combination therapy lack consideration of quantitative contributions from individual drugs, whereas interaction factor is always assigned arbitrarily to one drug and overstretched for the determination of in vivo pharmacologic synergism. Herein, we report a novel generic PK-PD model for combination therapy by considering apparent contributions from individual drugs coadministered. Doxorubicin (Dox) and sorafenib (Sor) were used as model drugs whose PK data were obtained in mice and fit to two-compartment model. Xenograft tumor growth was biphasic in mice, and PD responses were described by three-compartment transit models. This PK-PD model revealed that Sor (contribution factor = 1.62) had much greater influence on overall tumor-growth inhibition than coadministered Dox (contribution factor = 0.644), which explains the mysterious clinical findings on remarkable benefits for patients with cancer when adding Sor to Dox treatment, whereas there were none when adding Dox to Sor therapy. Furthermore, the combination index method was integrated into this predictive PK-PD model for critical determination of in vivo pharmacologic synergism that cannot be correctly defined by the interaction factor in conventional models. In addition, this new PK-PD model was able to identify optimal dosage combination (e.g., doubling experimental Sor dose and reducing Dox dose by 50%) toward much greater degree of tumor-growth inhibition (>90%), which was consistent with stronger synergy (combination index = 0.298). These findings demonstrated the utilities of this new PK-PD model and reiterated the use of valid method for the assessment of in vivo synergism. SIGNIFICANCE STATEMENT: A novel pharmacokinetic (PK)-pharmacodynamic (PD) model was developed for the assessment of combination treatment by considering contributions from individual drugs, and comb

Details

Database :
OAIster
Journal :
The Journal of pharmacology and experimental therapeutics; vol 377, iss 3, 305-315; 0022-3565
Notes :
The Journal of pharmacology and experimental therapeutics vol 377, iss 3, 305-315 0022-3565
Publication Type :
Electronic Resource
Accession number :
edsoai.on1287308815
Document Type :
Electronic Resource