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Predicting Resolvin D1 Pharmacokinetics in Humans with Physiologically‐Based Pharmacokinetic Modeling

Sjögren’s syndrome (SS) is an autoimmune disease with no effective treatment options. Resolvin D1 (RvD1) belongs to a class of lipid‐based specialized pro‐resolving mediators that showed efficacy in preclinical models of SS. We developed a physiologically‐based pharmacokinetic (PBPK) model of RvD1 i...

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Autores principales: Yellepeddi, Venkata K., Parashar, Kaustubh, Dean, Spencer M., Watt, Kevin M., Constance, Jonathan E., Baker, Olga J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993257/
https://www.ncbi.nlm.nih.gov/pubmed/33202089
http://dx.doi.org/10.1111/cts.12930
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author Yellepeddi, Venkata K.
Parashar, Kaustubh
Dean, Spencer M.
Watt, Kevin M.
Constance, Jonathan E.
Baker, Olga J.
author_facet Yellepeddi, Venkata K.
Parashar, Kaustubh
Dean, Spencer M.
Watt, Kevin M.
Constance, Jonathan E.
Baker, Olga J.
author_sort Yellepeddi, Venkata K.
collection PubMed
description Sjögren’s syndrome (SS) is an autoimmune disease with no effective treatment options. Resolvin D1 (RvD1) belongs to a class of lipid‐based specialized pro‐resolving mediators that showed efficacy in preclinical models of SS. We developed a physiologically‐based pharmacokinetic (PBPK) model of RvD1 in mice and optimized the model using plasma and salivary gland pharmacokinetic (PK) studies performed in NOD/ShiLtJ mice with SS‐like features. The predictive performance of the PBPK model was also evaluated with two external datasets from the literature reporting RvD1 PKs. The PBPK model adequately captured the observed concentrations of RvD1 administered at different doses and in different species. The PKs of RvD1 in virtual humans were predicted using the verified PBPK model at various doses (0.01–10 mg/kg). The first‐in‐human predictions of RvD1 will be useful for the clinical trial design and translation of RvD1 as an effective treatment strategy for SS.
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spelling pubmed-79932572021-03-29 Predicting Resolvin D1 Pharmacokinetics in Humans with Physiologically‐Based Pharmacokinetic Modeling Yellepeddi, Venkata K. Parashar, Kaustubh Dean, Spencer M. Watt, Kevin M. Constance, Jonathan E. Baker, Olga J. Clin Transl Sci Research Sjögren’s syndrome (SS) is an autoimmune disease with no effective treatment options. Resolvin D1 (RvD1) belongs to a class of lipid‐based specialized pro‐resolving mediators that showed efficacy in preclinical models of SS. We developed a physiologically‐based pharmacokinetic (PBPK) model of RvD1 in mice and optimized the model using plasma and salivary gland pharmacokinetic (PK) studies performed in NOD/ShiLtJ mice with SS‐like features. The predictive performance of the PBPK model was also evaluated with two external datasets from the literature reporting RvD1 PKs. The PBPK model adequately captured the observed concentrations of RvD1 administered at different doses and in different species. The PKs of RvD1 in virtual humans were predicted using the verified PBPK model at various doses (0.01–10 mg/kg). The first‐in‐human predictions of RvD1 will be useful for the clinical trial design and translation of RvD1 as an effective treatment strategy for SS. John Wiley and Sons Inc. 2020-11-30 2021-03 /pmc/articles/PMC7993257/ /pubmed/33202089 http://dx.doi.org/10.1111/cts.12930 Text en © 2020 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of the American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research
Yellepeddi, Venkata K.
Parashar, Kaustubh
Dean, Spencer M.
Watt, Kevin M.
Constance, Jonathan E.
Baker, Olga J.
Predicting Resolvin D1 Pharmacokinetics in Humans with Physiologically‐Based Pharmacokinetic Modeling
title Predicting Resolvin D1 Pharmacokinetics in Humans with Physiologically‐Based Pharmacokinetic Modeling
title_full Predicting Resolvin D1 Pharmacokinetics in Humans with Physiologically‐Based Pharmacokinetic Modeling
title_fullStr Predicting Resolvin D1 Pharmacokinetics in Humans with Physiologically‐Based Pharmacokinetic Modeling
title_full_unstemmed Predicting Resolvin D1 Pharmacokinetics in Humans with Physiologically‐Based Pharmacokinetic Modeling
title_short Predicting Resolvin D1 Pharmacokinetics in Humans with Physiologically‐Based Pharmacokinetic Modeling
title_sort predicting resolvin d1 pharmacokinetics in humans with physiologically‐based pharmacokinetic modeling
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993257/
https://www.ncbi.nlm.nih.gov/pubmed/33202089
http://dx.doi.org/10.1111/cts.12930
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