Cargando…

A strategy for designing voriconazole dosage regimens to prevent invasive pulmonary aspergillosis based on a cellular pharmacokinetics/pharmacodynamics model

BACKGROUND: Invasive pulmonary aspergillosis (IPA) is a life-threatening disease in immunosuppressed patients. Voriconazole is commonly used to prevent and treat IPA in the clinic, but the optimal prophylactic antifungal regimen is unknown. The objective of this study was to clarify the mechanism un...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Taotao, Zhang, Tao, Meng, Ti, Li, Ying, Chen, Lu, Yang, Qianting, Dong, Haiyan, Lei, Jin’e, Chen, Limei, Dong, Yalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992762/
https://www.ncbi.nlm.nih.gov/pubmed/29880050
http://dx.doi.org/10.1186/s12967-018-1533-4
_version_ 1783330097410867200
author Wang, Taotao
Zhang, Tao
Meng, Ti
Li, Ying
Chen, Lu
Yang, Qianting
Dong, Haiyan
Lei, Jin’e
Chen, Limei
Dong, Yalin
author_facet Wang, Taotao
Zhang, Tao
Meng, Ti
Li, Ying
Chen, Lu
Yang, Qianting
Dong, Haiyan
Lei, Jin’e
Chen, Limei
Dong, Yalin
author_sort Wang, Taotao
collection PubMed
description BACKGROUND: Invasive pulmonary aspergillosis (IPA) is a life-threatening disease in immunosuppressed patients. Voriconazole is commonly used to prevent and treat IPA in the clinic, but the optimal prophylactic antifungal regimen is unknown. The objective of this study was to clarify the mechanism underlying how voriconazole prevents IPA based on a target cellular pharmacokinetics/pharmacodynamics model, with the aim of identifying a way to design an optimal prophylactic antifungal regimen. METHODS: A nystatin assay was used to establish a target-cells model for A. fumigatus infection. An inhibitory effect sigmoid E(max) model was developed to explore the cellular PK/PD breakpoint, and Monte Carlo simulation was used to design the prophylactic antifungal regimen. RESULTS: The intracellular activity of voriconazole in the target cells varied with its concentration, with the minimum inhibitory concentration (MIC) being an important determinant. For A. fumigatus strains AF293 and AF26, voriconazole decreased the intracellular inoculum by 0.79 and 0.84 lg cfu, respectively. The inhibitory effect sigmoid E(max) model showed that 84.01% of the intracellular inoculum was suppressed by voriconazole within 24 h, and that a PK/PD value of 35.53 for the extracellular voriconazole concentration divided by MIC was associated with a 50% suppression of intracellular A. fumigatus. The Monte Carlo simulation results showed that the oral administration of at least 200 mg of voriconazole twice daily was yielded estimated the cumulative fraction of response value of 91.48%. Concentration of voriconazole in the pulmonary epithelial lining fluid and the plasma of > 17.77 and > 1.55 mg/L, respectively, would ensure the PK/PD > 35.53 for voriconazole against most isolates of A. fumigatus and may will be benefit to prevent IPA in clinical applications. CONCLUSIONS: This study used a target cellular pharmacokinetics/pharmacodynamics model to reveal a potential mechanism underlying how voriconazole prevents IPA and has provided a method for designing voriconazole prophylactic antifungal regimen in immunosuppressed patients.
format Online
Article
Text
id pubmed-5992762
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-59927622018-07-05 A strategy for designing voriconazole dosage regimens to prevent invasive pulmonary aspergillosis based on a cellular pharmacokinetics/pharmacodynamics model Wang, Taotao Zhang, Tao Meng, Ti Li, Ying Chen, Lu Yang, Qianting Dong, Haiyan Lei, Jin’e Chen, Limei Dong, Yalin J Transl Med Research BACKGROUND: Invasive pulmonary aspergillosis (IPA) is a life-threatening disease in immunosuppressed patients. Voriconazole is commonly used to prevent and treat IPA in the clinic, but the optimal prophylactic antifungal regimen is unknown. The objective of this study was to clarify the mechanism underlying how voriconazole prevents IPA based on a target cellular pharmacokinetics/pharmacodynamics model, with the aim of identifying a way to design an optimal prophylactic antifungal regimen. METHODS: A nystatin assay was used to establish a target-cells model for A. fumigatus infection. An inhibitory effect sigmoid E(max) model was developed to explore the cellular PK/PD breakpoint, and Monte Carlo simulation was used to design the prophylactic antifungal regimen. RESULTS: The intracellular activity of voriconazole in the target cells varied with its concentration, with the minimum inhibitory concentration (MIC) being an important determinant. For A. fumigatus strains AF293 and AF26, voriconazole decreased the intracellular inoculum by 0.79 and 0.84 lg cfu, respectively. The inhibitory effect sigmoid E(max) model showed that 84.01% of the intracellular inoculum was suppressed by voriconazole within 24 h, and that a PK/PD value of 35.53 for the extracellular voriconazole concentration divided by MIC was associated with a 50% suppression of intracellular A. fumigatus. The Monte Carlo simulation results showed that the oral administration of at least 200 mg of voriconazole twice daily was yielded estimated the cumulative fraction of response value of 91.48%. Concentration of voriconazole in the pulmonary epithelial lining fluid and the plasma of > 17.77 and > 1.55 mg/L, respectively, would ensure the PK/PD > 35.53 for voriconazole against most isolates of A. fumigatus and may will be benefit to prevent IPA in clinical applications. CONCLUSIONS: This study used a target cellular pharmacokinetics/pharmacodynamics model to reveal a potential mechanism underlying how voriconazole prevents IPA and has provided a method for designing voriconazole prophylactic antifungal regimen in immunosuppressed patients. BioMed Central 2018-06-07 /pmc/articles/PMC5992762/ /pubmed/29880050 http://dx.doi.org/10.1186/s12967-018-1533-4 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wang, Taotao
Zhang, Tao
Meng, Ti
Li, Ying
Chen, Lu
Yang, Qianting
Dong, Haiyan
Lei, Jin’e
Chen, Limei
Dong, Yalin
A strategy for designing voriconazole dosage regimens to prevent invasive pulmonary aspergillosis based on a cellular pharmacokinetics/pharmacodynamics model
title A strategy for designing voriconazole dosage regimens to prevent invasive pulmonary aspergillosis based on a cellular pharmacokinetics/pharmacodynamics model
title_full A strategy for designing voriconazole dosage regimens to prevent invasive pulmonary aspergillosis based on a cellular pharmacokinetics/pharmacodynamics model
title_fullStr A strategy for designing voriconazole dosage regimens to prevent invasive pulmonary aspergillosis based on a cellular pharmacokinetics/pharmacodynamics model
title_full_unstemmed A strategy for designing voriconazole dosage regimens to prevent invasive pulmonary aspergillosis based on a cellular pharmacokinetics/pharmacodynamics model
title_short A strategy for designing voriconazole dosage regimens to prevent invasive pulmonary aspergillosis based on a cellular pharmacokinetics/pharmacodynamics model
title_sort strategy for designing voriconazole dosage regimens to prevent invasive pulmonary aspergillosis based on a cellular pharmacokinetics/pharmacodynamics model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5992762/
https://www.ncbi.nlm.nih.gov/pubmed/29880050
http://dx.doi.org/10.1186/s12967-018-1533-4
work_keys_str_mv AT wangtaotao astrategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT zhangtao astrategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT mengti astrategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT liying astrategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT chenlu astrategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT yangqianting astrategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT donghaiyan astrategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT leijine astrategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT chenlimei astrategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT dongyalin astrategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT wangtaotao strategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT zhangtao strategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT mengti strategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT liying strategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT chenlu strategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT yangqianting strategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT donghaiyan strategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT leijine strategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT chenlimei strategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel
AT dongyalin strategyfordesigningvoriconazoledosageregimenstopreventinvasivepulmonaryaspergillosisbasedonacellularpharmacokineticspharmacodynamicsmodel