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

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 m...

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Autores principales: Kim, Soyoung, Cicali, Brian, Pressly, Michelle, Da Silva, Lais, Wendl, Thomas, Vozmediano, Valvanera, Schmidt, Stephan, Cristofoletti, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222093/
https://www.ncbi.nlm.nih.gov/pubmed/37242635
http://dx.doi.org/10.3390/pharmaceutics15051393
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author Kim, Soyoung
Cicali, Brian
Pressly, Michelle
Da Silva, Lais
Wendl, Thomas
Vozmediano, Valvanera
Schmidt, Stephan
Cristofoletti, Rodrigo
author_facet Kim, Soyoung
Cicali, Brian
Pressly, Michelle
Da Silva, Lais
Wendl, Thomas
Vozmediano, Valvanera
Schmidt, Stephan
Cristofoletti, Rodrigo
author_sort Kim, Soyoung
collection PubMed
description 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(2)) 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(2) = 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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spelling pubmed-102220932023-05-28 Model-Based Analysis of In Vivo Release Data of Levonorgestrel Implants: Projecting Long-Term Systemic Exposure Kim, Soyoung Cicali, Brian Pressly, Michelle Da Silva, Lais Wendl, Thomas Vozmediano, Valvanera Schmidt, Stephan Cristofoletti, Rodrigo Pharmaceutics Communication 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(2)) 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(2) = 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. MDPI 2023-05-02 /pmc/articles/PMC10222093/ /pubmed/37242635 http://dx.doi.org/10.3390/pharmaceutics15051393 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Kim, Soyoung
Cicali, Brian
Pressly, Michelle
Da Silva, Lais
Wendl, Thomas
Vozmediano, Valvanera
Schmidt, Stephan
Cristofoletti, Rodrigo
Model-Based Analysis of In Vivo Release Data of Levonorgestrel Implants: Projecting Long-Term Systemic Exposure
title Model-Based Analysis of In Vivo Release Data of Levonorgestrel Implants: Projecting Long-Term Systemic Exposure
title_full Model-Based Analysis of In Vivo Release Data of Levonorgestrel Implants: Projecting Long-Term Systemic Exposure
title_fullStr Model-Based Analysis of In Vivo Release Data of Levonorgestrel Implants: Projecting Long-Term Systemic Exposure
title_full_unstemmed Model-Based Analysis of In Vivo Release Data of Levonorgestrel Implants: Projecting Long-Term Systemic Exposure
title_short Model-Based Analysis of In Vivo Release Data of Levonorgestrel Implants: Projecting Long-Term Systemic Exposure
title_sort model-based analysis of in vivo release data of levonorgestrel implants: projecting long-term systemic exposure
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222093/
https://www.ncbi.nlm.nih.gov/pubmed/37242635
http://dx.doi.org/10.3390/pharmaceutics15051393
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