Assessing the utility of an anti-malarial pharmacokinetic-pharmacodynamic model for aiding drug clinical development

<p style="text-align:justify;"><b>BACKGROUND:</b> Mechanistic within-host models relating blood anti-malarial drug concentrations with the parasite-time profile help in assessing dosing schedules and partner drugs for new anti-malarial treatments. A comprehensive simulati...

Full description

Bibliographic Details
Main Authors: Zaloumis, S, Humberstone, A, Charman, S, Price, R, Moehrle, J, Gamo-Benito, J, McCaw, J, Jamsen, K, Smith, K, Simpson, J
Format: Journal article
Language:English
Published: BioMed Central 2012
_version_ 1797106945238237184
author Zaloumis, S
Humberstone, A
Charman, S
Price, R
Moehrle, J
Gamo-Benito, J
McCaw, J
Jamsen, K
Smith, K
Simpson, J
author_facet Zaloumis, S
Humberstone, A
Charman, S
Price, R
Moehrle, J
Gamo-Benito, J
McCaw, J
Jamsen, K
Smith, K
Simpson, J
author_sort Zaloumis, S
collection OXFORD
description <p style="text-align:justify;"><b>BACKGROUND:</b> Mechanistic within-host models relating blood anti-malarial drug concentrations with the parasite-time profile help in assessing dosing schedules and partner drugs for new anti-malarial treatments. A comprehensive simulation study to assess the utility of a stage-specific pharmacokinetic-pharmacodynamic (PK-PD) model for predicting within-host parasite response was performed. <br/> <b>METHODS:</b> Three anti-malarial combination therapies were selected: artesunate-mefloquine, dihydroartemisinin-piperaquine, and artemether-lumefantrine. The PK-PD model included parameters to represent the concentration-time profiles of both drugs, the initial parasite burden and distribution across the parasite life cycle, and the parasite multiplication factor due to asexual reproduction. The model also included the maximal killing rate of each drug, and the blood drug concentration associated with half of that killing effect (in vivo EC50), derived from the in vitro IC50, the extent of binding to 0.5% Albumax present in the in vitro testing media, and the drugs plasma protein binding and whole blood to plasma partitioning ratio. All stochastic simulations were performed using a Latin-Hypercube-Sampling approach. <br/> <b>RESULTS:</b> The simulations demonstrated that the proportion of patients cured was highly sensitive to the in vivo EC50 and the maximal killing rate of the partner drug co-administered with the artemisinin derivative. The in vivo EC50 values that corresponded to on average 95% of patients cured were much higher than the adjusted values derived from the in vitro IC50. The proportion clinically cured was not strongly influenced by changes in the parameters defining the age distribution of the initial parasite burden (mean age of 4 to 16 hours) and the parasite multiplication factor every life cycle (ranging from 8 to 12 fold/cycle). The median parasite clearance times, however, lengthened as the standard deviation of the initial parasite burden increased (i.e. the infection became more asynchronous).<br/> <b>CONCLUSIONS:</b> This simulation study demonstrates that the PD effect predicted from in vitro growth inhibition assays does not accord well with the PD effect of the anti-malarials observed within the patient. This simulation-based PK-PD modelling approach should not be considered as a replacement to conducting clinical trials but instead as a decision tool to improve the design of a clinical trial during drug development.</p>
first_indexed 2024-03-07T07:09:36Z
format Journal article
id oxford-uuid:b059feaf-5bbb-45a2-ae63-48376ec6554e
institution University of Oxford
language English
last_indexed 2024-03-07T07:09:36Z
publishDate 2012
publisher BioMed Central
record_format dspace
spelling oxford-uuid:b059feaf-5bbb-45a2-ae63-48376ec6554e2022-05-31T09:34:18ZAssessing the utility of an anti-malarial pharmacokinetic-pharmacodynamic model for aiding drug clinical developmentJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b059feaf-5bbb-45a2-ae63-48376ec6554eEnglishSymplectic Elements at OxfordBioMed Central2012Zaloumis, SHumberstone, ACharman, SPrice, RMoehrle, JGamo-Benito, JMcCaw, JJamsen, KSmith, KSimpson, J<p style="text-align:justify;"><b>BACKGROUND:</b> Mechanistic within-host models relating blood anti-malarial drug concentrations with the parasite-time profile help in assessing dosing schedules and partner drugs for new anti-malarial treatments. A comprehensive simulation study to assess the utility of a stage-specific pharmacokinetic-pharmacodynamic (PK-PD) model for predicting within-host parasite response was performed. <br/> <b>METHODS:</b> Three anti-malarial combination therapies were selected: artesunate-mefloquine, dihydroartemisinin-piperaquine, and artemether-lumefantrine. The PK-PD model included parameters to represent the concentration-time profiles of both drugs, the initial parasite burden and distribution across the parasite life cycle, and the parasite multiplication factor due to asexual reproduction. The model also included the maximal killing rate of each drug, and the blood drug concentration associated with half of that killing effect (in vivo EC50), derived from the in vitro IC50, the extent of binding to 0.5% Albumax present in the in vitro testing media, and the drugs plasma protein binding and whole blood to plasma partitioning ratio. All stochastic simulations were performed using a Latin-Hypercube-Sampling approach. <br/> <b>RESULTS:</b> The simulations demonstrated that the proportion of patients cured was highly sensitive to the in vivo EC50 and the maximal killing rate of the partner drug co-administered with the artemisinin derivative. The in vivo EC50 values that corresponded to on average 95% of patients cured were much higher than the adjusted values derived from the in vitro IC50. The proportion clinically cured was not strongly influenced by changes in the parameters defining the age distribution of the initial parasite burden (mean age of 4 to 16 hours) and the parasite multiplication factor every life cycle (ranging from 8 to 12 fold/cycle). The median parasite clearance times, however, lengthened as the standard deviation of the initial parasite burden increased (i.e. the infection became more asynchronous).<br/> <b>CONCLUSIONS:</b> This simulation study demonstrates that the PD effect predicted from in vitro growth inhibition assays does not accord well with the PD effect of the anti-malarials observed within the patient. This simulation-based PK-PD modelling approach should not be considered as a replacement to conducting clinical trials but instead as a decision tool to improve the design of a clinical trial during drug development.</p>
spellingShingle Zaloumis, S
Humberstone, A
Charman, S
Price, R
Moehrle, J
Gamo-Benito, J
McCaw, J
Jamsen, K
Smith, K
Simpson, J
Assessing the utility of an anti-malarial pharmacokinetic-pharmacodynamic model for aiding drug clinical development
title Assessing the utility of an anti-malarial pharmacokinetic-pharmacodynamic model for aiding drug clinical development
title_full Assessing the utility of an anti-malarial pharmacokinetic-pharmacodynamic model for aiding drug clinical development
title_fullStr Assessing the utility of an anti-malarial pharmacokinetic-pharmacodynamic model for aiding drug clinical development
title_full_unstemmed Assessing the utility of an anti-malarial pharmacokinetic-pharmacodynamic model for aiding drug clinical development
title_short Assessing the utility of an anti-malarial pharmacokinetic-pharmacodynamic model for aiding drug clinical development
title_sort assessing the utility of an anti malarial pharmacokinetic pharmacodynamic model for aiding drug clinical development
work_keys_str_mv AT zaloumiss assessingtheutilityofanantimalarialpharmacokineticpharmacodynamicmodelforaidingdrugclinicaldevelopment
AT humberstonea assessingtheutilityofanantimalarialpharmacokineticpharmacodynamicmodelforaidingdrugclinicaldevelopment
AT charmans assessingtheutilityofanantimalarialpharmacokineticpharmacodynamicmodelforaidingdrugclinicaldevelopment
AT pricer assessingtheutilityofanantimalarialpharmacokineticpharmacodynamicmodelforaidingdrugclinicaldevelopment
AT moehrlej assessingtheutilityofanantimalarialpharmacokineticpharmacodynamicmodelforaidingdrugclinicaldevelopment
AT gamobenitoj assessingtheutilityofanantimalarialpharmacokineticpharmacodynamicmodelforaidingdrugclinicaldevelopment
AT mccawj assessingtheutilityofanantimalarialpharmacokineticpharmacodynamicmodelforaidingdrugclinicaldevelopment
AT jamsenk assessingtheutilityofanantimalarialpharmacokineticpharmacodynamicmodelforaidingdrugclinicaldevelopment
AT smithk assessingtheutilityofanantimalarialpharmacokineticpharmacodynamicmodelforaidingdrugclinicaldevelopment
AT simpsonj assessingtheutilityofanantimalarialpharmacokineticpharmacodynamicmodelforaidingdrugclinicaldevelopment