BACKGROUND: Lopinavir (LPV)/ritonavir (RTV) co-formulation (LPV/RTV) is a widely used protease inhibitor (PI)-based regimen to treat HIV-infection. As with all PIs, the trough concentration (C trough) is a primary determinant of response, but the optimum exposure remains poorly defined. The primary objective was to develop an integrated LPV population pharmacokinetic model to investigate the influence of α-1-acid glycoprotein and link total and free LPV exposure to pharmacodynamic changes in HIV-1 RNA and assess viral dynamic and drug efficacy parameters. METHODS: Data from 35 treatment-naïve HIV-infected patients initiating therapy with LPV/RTV 400/100 mg orally twice daily across two studies were used for model development and simulations using ADAPT. Total LPV (LPVt) and RTV concentrations were measured by high-performance liquid chromatography with ultraviolet (UV) detection. Free LPV (LPVf) concentrations were measured using equilibrium dialysis and mass spectrometry. RESULTS: The LPVt typical value of clearance (CLLPVt/F) was 4.73 L/h and the distribution volume (VLPVt/F) was 55.7 L. The clearance (CLLPVf/F) and distribution volume (Vf/F) for LPVf were 596 L/h and 6,370 L, respectively. The virion clearance rate was 0.0350 h(-1). The simulated LPVLPVt C trough values at 90% (EC90) and 95% (EC95) of the maximum response were 316 and 726 ng/mL, respectively. CONCLUSIONS: The pharmacokinetic-pharmacodynamic model provides a useful tool to quantitatively describe the relationship between LPV/RTV exposure and viral response. This comprehensive modelling and simulation approach could be used as a surrogate assessment of antiretroviral (ARV) activity where adequate early-phase dose-ranging studies are lacking in order to define target trough concentrations and possibly refine dosing recommendations.
BACKGROUND:Lopinavir (LPV)/ritonavir (RTV) co-formulation (LPV/RTV) is a widely used protease inhibitor (PI)-based regimen to treat HIV-infection. As with all PIs, the trough concentration (C trough) is a primary determinant of response, but the optimum exposure remains poorly defined. The primary objective was to develop an integrated LPV population pharmacokinetic model to investigate the influence of α-1-acid glycoprotein and link total and free LPV exposure to pharmacodynamic changes in HIV-1 RNA and assess viral dynamic and drug efficacy parameters. METHODS: Data from 35 treatment-naïve HIV-infectedpatients initiating therapy with LPV/RTV 400/100 mg orally twice daily across two studies were used for model development and simulations using ADAPT. Total LPV (LPVt) and RTV concentrations were measured by high-performance liquid chromatography with ultraviolet (UV) detection. Free LPV (LPVf) concentrations were measured using equilibrium dialysis and mass spectrometry. RESULTS: The LPVt typical value of clearance (CLLPVt/F) was 4.73 L/h and the distribution volume (VLPVt/F) was 55.7 L. The clearance (CLLPVf/F) and distribution volume (Vf/F) for LPVf were 596 L/h and 6,370 L, respectively. The virion clearance rate was 0.0350 h(-1). The simulated LPVLPVt C trough values at 90% (EC90) and 95% (EC95) of the maximum response were 316 and 726 ng/mL, respectively. CONCLUSIONS: The pharmacokinetic-pharmacodynamic model provides a useful tool to quantitatively describe the relationship between LPV/RTV exposure and viral response. This comprehensive modelling and simulation approach could be used as a surrogate assessment of antiretroviral (ARV) activity where adequate early-phase dose-ranging studies are lacking in order to define target trough concentrations and possibly refine dosing recommendations.
Authors: G A Funk; M Fischer; B Joos; M Opravil; H F Günthard; B Ledergerber; S Bonhoeffer Journal: J Acquir Immune Defic Syndr Date: 2001-04-15 Impact factor: 3.731
Authors: Marta Boffito; Patrick G Hoggard; W Edward Lindup; Stefano Bonora; Alessandro Sinicco; Saye H Khoo; Giovanni Di Perri; David J Back Journal: Ther Drug Monit Date: 2004-02 Impact factor: 3.681
Authors: Ahmed Hamed Salem; Aksana Kaefer Jones; Marilia Santini-Oliveira; Graham P Taylor; Kristine B Patterson; Angela M Nilius; Cheri Enders Klein Journal: Antimicrob Agents Chemother Date: 2015-11-02 Impact factor: 5.191
Authors: Antonio Gonçalves; Julie Bertrand; Ruian Ke; Emmanuelle Comets; Xavier de Lamballerie; Denis Malvy; Andrés Pizzorno; Olivier Terrier; Manuel Rosa Calatrava; France Mentré; Patrick Smith; Alan S Perelson; Jérémie Guedj Journal: CPT Pharmacometrics Syst Pharmacol Date: 2020-08-07
Authors: Meera Varshneya; Itziar Irurzun-Arana; Chiara Campana; Rafael Dariolli; Amy Gutierrez; Taylor K Pullinger; Eric A Sobie Journal: medRxiv Date: 2020-05-26
Authors: Meera Varshneya; Itziar Irurzun-Arana; Chiara Campana; Rafael Dariolli; Amy Gutierrez; Taylor K Pullinger; Eric A Sobie Journal: CPT Pharmacometrics Syst Pharmacol Date: 2021-02-11