Pharmacokinetic prediction of nebulised polymyxin for pulmonary delivery
Inhaled administration of polymyxin B is increasingly used to treat multi-drug resistant bacterial lung infections. However, the lack of clinical data on the pharmacokinetics of inhaled administration makes drug dose design, efficacy assessment and drug safety assessment a challenge. In this study,...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2023-01-01
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Series: | BIO Web of Conferences |
Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2023/04/bioconf_icbb2023_02015.pdf |
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author | Hu Tian Miao Hao Zhou Xudong Qiu Shi Tong Zhenbo |
author_facet | Hu Tian Miao Hao Zhou Xudong Qiu Shi Tong Zhenbo |
author_sort | Hu Tian |
collection | DOAJ |
description | Inhaled administration of polymyxin B is increasingly used to treat multi-drug resistant bacterial lung infections. However, the lack of clinical data on the pharmacokinetics of inhaled administration makes drug dose design, efficacy assessment and drug safety assessment a challenge. In this study, clinical data from intravenous injections were deconvoluted by an equal-step numerical deconvolution algorithm to derive the drug absorption rate of polymyxin B in vivo. The absorption rate was substituted into a published pulmonary absorption compartment model to predict the systemic pharmacokinetics of polymyxin B. It was demonstrated that the intravenous PK dataset with the pulmonary compartment model provided reliable estimates of the accuracy and bias of inhaled systemic pharmacokinetics. |
first_indexed | 2024-04-09T13:19:58Z |
format | Article |
id | doaj.art-7a185ad560bd4b8b91e325433850c84e |
institution | Directory Open Access Journal |
issn | 2117-4458 |
language | English |
last_indexed | 2024-04-09T13:19:58Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | BIO Web of Conferences |
spelling | doaj.art-7a185ad560bd4b8b91e325433850c84e2023-05-11T09:08:11ZengEDP SciencesBIO Web of Conferences2117-44582023-01-01590201510.1051/bioconf/20235902015bioconf_icbb2023_02015Pharmacokinetic prediction of nebulised polymyxin for pulmonary deliveryHu Tian0Miao Hao1Zhou Xudong2Qiu Shi3Tong Zhenbo4School of Energy and Environment, Southeast UniversityDepartment of Chemical Engineering, Monash UniversityDepartment of Chemical Engineering, Monash UniversityDepartment of Chemical Engineering, Monash UniversitySchool of Energy and Environment, Southeast UniversityInhaled administration of polymyxin B is increasingly used to treat multi-drug resistant bacterial lung infections. However, the lack of clinical data on the pharmacokinetics of inhaled administration makes drug dose design, efficacy assessment and drug safety assessment a challenge. In this study, clinical data from intravenous injections were deconvoluted by an equal-step numerical deconvolution algorithm to derive the drug absorption rate of polymyxin B in vivo. The absorption rate was substituted into a published pulmonary absorption compartment model to predict the systemic pharmacokinetics of polymyxin B. It was demonstrated that the intravenous PK dataset with the pulmonary compartment model provided reliable estimates of the accuracy and bias of inhaled systemic pharmacokinetics.https://www.bio-conferences.org/articles/bioconf/pdf/2023/04/bioconf_icbb2023_02015.pdf |
spellingShingle | Hu Tian Miao Hao Zhou Xudong Qiu Shi Tong Zhenbo Pharmacokinetic prediction of nebulised polymyxin for pulmonary delivery BIO Web of Conferences |
title | Pharmacokinetic prediction of nebulised polymyxin for pulmonary delivery |
title_full | Pharmacokinetic prediction of nebulised polymyxin for pulmonary delivery |
title_fullStr | Pharmacokinetic prediction of nebulised polymyxin for pulmonary delivery |
title_full_unstemmed | Pharmacokinetic prediction of nebulised polymyxin for pulmonary delivery |
title_short | Pharmacokinetic prediction of nebulised polymyxin for pulmonary delivery |
title_sort | pharmacokinetic prediction of nebulised polymyxin for pulmonary delivery |
url | https://www.bio-conferences.org/articles/bioconf/pdf/2023/04/bioconf_icbb2023_02015.pdf |
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