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Impact of Disease on Plasma and Lung Exposure of Chloroquine, Hydroxychloroquine and Azithromycin: Application of PBPK Modeling
We use a mechanistic lung model to demonstrate that accumulation of chloroquine (CQ), hydroxychloroquine (HCQ), and azithromycin (AZ) in the lungs is sensitive to changes in lung pH, a parameter that can be affected in patients with coronavirus disease 2019 (COVID‐19). A reduction in pH from 6.7 to...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323312/ https://www.ncbi.nlm.nih.gov/pubmed/32531808 http://dx.doi.org/10.1002/cpt.1955 |
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author | Rowland Yeo, Karen Zhang, Mian Pan, Xian Ban Ke, Alice Jones, Hannah M. Wesche, David Almond, Lisa M. |
author_facet | Rowland Yeo, Karen Zhang, Mian Pan, Xian Ban Ke, Alice Jones, Hannah M. Wesche, David Almond, Lisa M. |
author_sort | Rowland Yeo, Karen |
collection | PubMed |
description | We use a mechanistic lung model to demonstrate that accumulation of chloroquine (CQ), hydroxychloroquine (HCQ), and azithromycin (AZ) in the lungs is sensitive to changes in lung pH, a parameter that can be affected in patients with coronavirus disease 2019 (COVID‐19). A reduction in pH from 6.7 to 6 in the lungs, as observed in respiratory disease, led to 20‐fold, 4.0‐fold, and 2.7‐fold increases in lung exposure of CQ, HCQ, and AZ, respectively. Simulations indicated that the relatively high concentrations of CQ and HCQ in lung tissue were sustained long after administration of the drugs had stopped. Patients with COVID‐19 often present with kidney failure. Our simulations indicate that renal impairment (plus lung pH reduction) caused 30‐fold, 8.0‐fold, and 3.4‐fold increases in lung exposures for CQ, HCQ, and AZ, respectively, with relatively small accompanying increases (20 to 30%) in systemic exposure. Although a number of different dosage regimens were assessed, the purpose of our study was not to provide recommendations for a dosing strategy, but to demonstrate the utility of a physiologically‐based pharmacokinetic modeling approach to estimate lung concentrations. This, used in conjunction with robust in vitro and clinical data, can help in the assessment of COVID‐19 therapeutics going forward. |
format | Online Article Text |
id | pubmed-7323312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73233122020-06-29 Impact of Disease on Plasma and Lung Exposure of Chloroquine, Hydroxychloroquine and Azithromycin: Application of PBPK Modeling Rowland Yeo, Karen Zhang, Mian Pan, Xian Ban Ke, Alice Jones, Hannah M. Wesche, David Almond, Lisa M. Clin Pharmacol Ther Research We use a mechanistic lung model to demonstrate that accumulation of chloroquine (CQ), hydroxychloroquine (HCQ), and azithromycin (AZ) in the lungs is sensitive to changes in lung pH, a parameter that can be affected in patients with coronavirus disease 2019 (COVID‐19). A reduction in pH from 6.7 to 6 in the lungs, as observed in respiratory disease, led to 20‐fold, 4.0‐fold, and 2.7‐fold increases in lung exposure of CQ, HCQ, and AZ, respectively. Simulations indicated that the relatively high concentrations of CQ and HCQ in lung tissue were sustained long after administration of the drugs had stopped. Patients with COVID‐19 often present with kidney failure. Our simulations indicate that renal impairment (plus lung pH reduction) caused 30‐fold, 8.0‐fold, and 3.4‐fold increases in lung exposures for CQ, HCQ, and AZ, respectively, with relatively small accompanying increases (20 to 30%) in systemic exposure. Although a number of different dosage regimens were assessed, the purpose of our study was not to provide recommendations for a dosing strategy, but to demonstrate the utility of a physiologically‐based pharmacokinetic modeling approach to estimate lung concentrations. This, used in conjunction with robust in vitro and clinical data, can help in the assessment of COVID‐19 therapeutics going forward. John Wiley and Sons Inc. 2020-07-16 2020-11 /pmc/articles/PMC7323312/ /pubmed/32531808 http://dx.doi.org/10.1002/cpt.1955 Text en © 2020 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC. on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://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 Rowland Yeo, Karen Zhang, Mian Pan, Xian Ban Ke, Alice Jones, Hannah M. Wesche, David Almond, Lisa M. Impact of Disease on Plasma and Lung Exposure of Chloroquine, Hydroxychloroquine and Azithromycin: Application of PBPK Modeling |
title | Impact of Disease on Plasma and Lung Exposure of Chloroquine, Hydroxychloroquine and Azithromycin: Application of PBPK Modeling |
title_full | Impact of Disease on Plasma and Lung Exposure of Chloroquine, Hydroxychloroquine and Azithromycin: Application of PBPK Modeling |
title_fullStr | Impact of Disease on Plasma and Lung Exposure of Chloroquine, Hydroxychloroquine and Azithromycin: Application of PBPK Modeling |
title_full_unstemmed | Impact of Disease on Plasma and Lung Exposure of Chloroquine, Hydroxychloroquine and Azithromycin: Application of PBPK Modeling |
title_short | Impact of Disease on Plasma and Lung Exposure of Chloroquine, Hydroxychloroquine and Azithromycin: Application of PBPK Modeling |
title_sort | impact of disease on plasma and lung exposure of chloroquine, hydroxychloroquine and azithromycin: application of pbpk modeling |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323312/ https://www.ncbi.nlm.nih.gov/pubmed/32531808 http://dx.doi.org/10.1002/cpt.1955 |
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