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Evolution of Ritlecitinib Population Pharmacokinetic Models During Clinical Drug Development
BACKGROUND: Ritlecitinib is an oral Janus kinase 3/tyrosine kinase expressed in hepatocellular carcinoma family inhibitor undergoing parallel clinical development for alopecia areata, vitiligo, ulcerative colitis, Crohn’s disease, and rheumatoid arthritis. OBJECTIVE: As studies read out simultaneous...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684409/ https://www.ncbi.nlm.nih.gov/pubmed/37917289 http://dx.doi.org/10.1007/s40262-023-01318-3 |
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author | Wojciechowski, Jessica S Purohit, Vivek Huh, Yeamin Banfield, Christopher Nicholas, Timothy |
author_facet | Wojciechowski, Jessica S Purohit, Vivek Huh, Yeamin Banfield, Christopher Nicholas, Timothy |
author_sort | Wojciechowski, Jessica |
collection | PubMed |
description | BACKGROUND: Ritlecitinib is an oral Janus kinase 3/tyrosine kinase expressed in hepatocellular carcinoma family inhibitor undergoing parallel clinical development for alopecia areata, vitiligo, ulcerative colitis, Crohn’s disease, and rheumatoid arthritis. OBJECTIVE: As studies read out simultaneously, strategic planning of population pharmacokinetic model development and evaluation is required to ensure timely decisions. METHODS: Data from healthy participants and patients from 12 clinical trials between December 2014 and July 2021 were included: seven phase I studies in healthy participants and organ impairment, five phase II/III studies in patients with rheumatoid arthritis, ulcerative colitis, alopecia areata, and vitiligo. Population pharmacokinetic models consisted of stepwise procedures to accommodate data availability and the model’s application to answering clinical development questions. At each iteration of the model update, parameters of the next model were re-estimated by leveraging previous information and new data. RESULTS: Three model development lifecycle iterations of the ritlecitinib population pharmacokinetic model were conducted to support alopecia areata, vitiligo, and ulcerative colitis study readouts. Initial structural modeling based on healthy participant data (and some rheumatoid arthritis and alopecia areata data) in iteration 1 provided a platform for comprehensive covariate testing during iteration 2, and model evaluation and implementation of the frequentist prior approach in iteration 3. The final model was a two-compartment model with first-order absorption and direct-response non-stationary clearance and bioavailability driven by concentrations in the peripheral compartment. CONCLUSIONS: The present approach demonstrated the evolution of three population pharmacokinetic models with accumulating data, addressed clinical drug development questions related to systemic exposures of ritlecitinib, and informed the approved product label. CLINICAL TRIAL REGISTRATION: NCT02309827, NCT02684760, NCT02958865, NCT02969044, NCT03232905, NCT03732807, NCT04016077, NCT03715829, NCT04037865, NCT04004663, NCT04634565, NCT02974868. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40262-023-01318-3. |
format | Online Article Text |
id | pubmed-10684409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-106844092023-11-30 Evolution of Ritlecitinib Population Pharmacokinetic Models During Clinical Drug Development Wojciechowski, Jessica S Purohit, Vivek Huh, Yeamin Banfield, Christopher Nicholas, Timothy Clin Pharmacokinet Original Research Article BACKGROUND: Ritlecitinib is an oral Janus kinase 3/tyrosine kinase expressed in hepatocellular carcinoma family inhibitor undergoing parallel clinical development for alopecia areata, vitiligo, ulcerative colitis, Crohn’s disease, and rheumatoid arthritis. OBJECTIVE: As studies read out simultaneously, strategic planning of population pharmacokinetic model development and evaluation is required to ensure timely decisions. METHODS: Data from healthy participants and patients from 12 clinical trials between December 2014 and July 2021 were included: seven phase I studies in healthy participants and organ impairment, five phase II/III studies in patients with rheumatoid arthritis, ulcerative colitis, alopecia areata, and vitiligo. Population pharmacokinetic models consisted of stepwise procedures to accommodate data availability and the model’s application to answering clinical development questions. At each iteration of the model update, parameters of the next model were re-estimated by leveraging previous information and new data. RESULTS: Three model development lifecycle iterations of the ritlecitinib population pharmacokinetic model were conducted to support alopecia areata, vitiligo, and ulcerative colitis study readouts. Initial structural modeling based on healthy participant data (and some rheumatoid arthritis and alopecia areata data) in iteration 1 provided a platform for comprehensive covariate testing during iteration 2, and model evaluation and implementation of the frequentist prior approach in iteration 3. The final model was a two-compartment model with first-order absorption and direct-response non-stationary clearance and bioavailability driven by concentrations in the peripheral compartment. CONCLUSIONS: The present approach demonstrated the evolution of three population pharmacokinetic models with accumulating data, addressed clinical drug development questions related to systemic exposures of ritlecitinib, and informed the approved product label. CLINICAL TRIAL REGISTRATION: NCT02309827, NCT02684760, NCT02958865, NCT02969044, NCT03232905, NCT03732807, NCT04016077, NCT03715829, NCT04037865, NCT04004663, NCT04634565, NCT02974868. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40262-023-01318-3. Springer International Publishing 2023-11-02 2023 /pmc/articles/PMC10684409/ /pubmed/37917289 http://dx.doi.org/10.1007/s40262-023-01318-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Article Wojciechowski, Jessica S Purohit, Vivek Huh, Yeamin Banfield, Christopher Nicholas, Timothy Evolution of Ritlecitinib Population Pharmacokinetic Models During Clinical Drug Development |
title | Evolution of Ritlecitinib Population Pharmacokinetic Models During Clinical Drug Development |
title_full | Evolution of Ritlecitinib Population Pharmacokinetic Models During Clinical Drug Development |
title_fullStr | Evolution of Ritlecitinib Population Pharmacokinetic Models During Clinical Drug Development |
title_full_unstemmed | Evolution of Ritlecitinib Population Pharmacokinetic Models During Clinical Drug Development |
title_short | Evolution of Ritlecitinib Population Pharmacokinetic Models During Clinical Drug Development |
title_sort | evolution of ritlecitinib population pharmacokinetic models during clinical drug development |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684409/ https://www.ncbi.nlm.nih.gov/pubmed/37917289 http://dx.doi.org/10.1007/s40262-023-01318-3 |
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