Model-Based Analysis of In Vivo Release Data of Levonorgestrel Implants: Projecting Long-Term Systemic Exposure.

Pharmaceutics

Center for Pharmacometrics and Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL 32827, USA.

Published: May 2023

AI Article Synopsis

  • Levonorgestrel (LNG) is a progestin used in contraceptives, and there's a need for long-acting formulations; a model was developed to study its release in subcutaneous implants.
  • The study used previous PBPK models and clinical trial data to optimize release kinetics, finding that First-order and Biexponential release models fit the data best, with an adjusted R-squared value of around 0.9170.
  • Future research will expand the model to simulate various clinical scenarios, including drug interactions and different body mass indexes (BMIs).

Article Abstract

Levonorgestrel (LNG) is a progestin used in many contraceptive formulations, including subcutaneous implants. There is an unmet need for developing long-acting formulations for LNG. To develop long-acting formulations, release functions need to be investigated for LNG implant. Therefore, a release model was developed and integrated into an LNG physiologically-based pharmacokinetic (PBPK) model. Utilizing a previously developed LNG PBPK model, subcutaneous administration of 150 mg LNG was implemented into the modeling framework. To mimic LNG release, ten functions incorporating formulation-specific mechanisms were explored. Release kinetic parameters and bioavailability were optimized using Jadelle clinical trial data (n = 321) and verified using two additional clinical trials (n = 216). The First-order release and Biexponential release models showed the best fit with observed data, the adjusted R-squared (R) value is 0.9170. The maximum released amount is approximately 50% of the loaded dose and the release rate is 0.0009 per day. The Biexponential model also showed good agreement with the data (adjusted R = 0.9113). Both models could recapitulate observed plasma concentrations after integration into the PBPK simulations. First-order and Biexponential release functionality may be useful in modeling subcutaneous LNG implants. The developed model captures central tendency of the observed data as well as variability of release kinetics. Future work focuses on incorporating various clinical scenarios into model simulations, including drug-drug interactions and a range of BMIs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222093PMC
http://dx.doi.org/10.3390/pharmaceutics15051393DOI Listing

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