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Safety Evaluation and Population Pharmacokinetics of Camostat Mesylate and Its Major Metabolites Using a Phase I Study

Camostat mesylate is expected to be promising as a treatment option for COVID-19, in addition to other indications for which it is currently used. Furthermore, in vitro experiments have confirmed the potential of camostat and its metabolites to be effective against COVID-19. Therefore, clinical tria...

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Autores principales: Kim, Gwanyoung, Moon, Hyun-ki, Kim, Taeheon, Yun, So-hye, Yun, Hwi-yeol, Hong, Jang Hee, Kim, Dae-Duk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534584/
https://www.ncbi.nlm.nih.gov/pubmed/37765325
http://dx.doi.org/10.3390/pharmaceutics15092357
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author Kim, Gwanyoung
Moon, Hyun-ki
Kim, Taeheon
Yun, So-hye
Yun, Hwi-yeol
Hong, Jang Hee
Kim, Dae-Duk
author_facet Kim, Gwanyoung
Moon, Hyun-ki
Kim, Taeheon
Yun, So-hye
Yun, Hwi-yeol
Hong, Jang Hee
Kim, Dae-Duk
author_sort Kim, Gwanyoung
collection PubMed
description Camostat mesylate is expected to be promising as a treatment option for COVID-19, in addition to other indications for which it is currently used. Furthermore, in vitro experiments have confirmed the potential of camostat and its metabolites to be effective against COVID-19. Therefore, clinical trials were conducted to evaluate the safety and pharmacokinetic characteristics of camostat after single-dose administration. Additionally, we aim to predict the pharmacokinetics of repeated dosing through modeling and simulation based on clinical trials. Clinical trials were conducted on healthy Korean adults, and an analysis was carried out of the metabolites of camostat, GBPA, and GBA. Pharmacokinetic modeling and simulation were performed using Monolix. There were no safety issues (AEs, physical examinations, clinical laboratory tests, vital sign measurements, and ECG) during the clinical trial. The pharmacokinetic characteristics at various doses were identified. It was confirmed that AUC (last) and C(max) increased in proportion to dose in both GBPA and GBA, and linearity was also confirmed in log-transformed power model regression. Additionally, the accumulation index was predicted (1.12 and 1.08 for GBPA and GBA). The pharmacokinetics of camostat for various dose administrations and indications can be predicted prior to clinical trials using the developed camostat model. Furthermore, it can be used for various indications by connecting it with pharmacodynamic information.
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spelling pubmed-105345842023-09-29 Safety Evaluation and Population Pharmacokinetics of Camostat Mesylate and Its Major Metabolites Using a Phase I Study Kim, Gwanyoung Moon, Hyun-ki Kim, Taeheon Yun, So-hye Yun, Hwi-yeol Hong, Jang Hee Kim, Dae-Duk Pharmaceutics Article Camostat mesylate is expected to be promising as a treatment option for COVID-19, in addition to other indications for which it is currently used. Furthermore, in vitro experiments have confirmed the potential of camostat and its metabolites to be effective against COVID-19. Therefore, clinical trials were conducted to evaluate the safety and pharmacokinetic characteristics of camostat after single-dose administration. Additionally, we aim to predict the pharmacokinetics of repeated dosing through modeling and simulation based on clinical trials. Clinical trials were conducted on healthy Korean adults, and an analysis was carried out of the metabolites of camostat, GBPA, and GBA. Pharmacokinetic modeling and simulation were performed using Monolix. There were no safety issues (AEs, physical examinations, clinical laboratory tests, vital sign measurements, and ECG) during the clinical trial. The pharmacokinetic characteristics at various doses were identified. It was confirmed that AUC (last) and C(max) increased in proportion to dose in both GBPA and GBA, and linearity was also confirmed in log-transformed power model regression. Additionally, the accumulation index was predicted (1.12 and 1.08 for GBPA and GBA). The pharmacokinetics of camostat for various dose administrations and indications can be predicted prior to clinical trials using the developed camostat model. Furthermore, it can be used for various indications by connecting it with pharmacodynamic information. MDPI 2023-09-21 /pmc/articles/PMC10534584/ /pubmed/37765325 http://dx.doi.org/10.3390/pharmaceutics15092357 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 Article
Kim, Gwanyoung
Moon, Hyun-ki
Kim, Taeheon
Yun, So-hye
Yun, Hwi-yeol
Hong, Jang Hee
Kim, Dae-Duk
Safety Evaluation and Population Pharmacokinetics of Camostat Mesylate and Its Major Metabolites Using a Phase I Study
title Safety Evaluation and Population Pharmacokinetics of Camostat Mesylate and Its Major Metabolites Using a Phase I Study
title_full Safety Evaluation and Population Pharmacokinetics of Camostat Mesylate and Its Major Metabolites Using a Phase I Study
title_fullStr Safety Evaluation and Population Pharmacokinetics of Camostat Mesylate and Its Major Metabolites Using a Phase I Study
title_full_unstemmed Safety Evaluation and Population Pharmacokinetics of Camostat Mesylate and Its Major Metabolites Using a Phase I Study
title_short Safety Evaluation and Population Pharmacokinetics of Camostat Mesylate and Its Major Metabolites Using a Phase I Study
title_sort safety evaluation and population pharmacokinetics of camostat mesylate and its major metabolites using a phase i study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534584/
https://www.ncbi.nlm.nih.gov/pubmed/37765325
http://dx.doi.org/10.3390/pharmaceutics15092357
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