Document Detail


Evaluation of an in vitro in vivo correlation for nebulizer delivery using artificial neural networks.
MedLine Citation:
PMID:  17630647     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The ability to generate predictive models linking the in vitro assessment of pharmaceutical products with in vivo performance has the potential to enable greater control of clinical quality whilst minimizing the number of in vivo studies in drug development. Artificial neural networks (ANNs) provide a means of generating predictive models correlating critical product characteristics to key performance attributes. In this regard, ANNs have been used to model historical data exploring the relative lung bioavailability of salbutamol from several different nebulizers. The generated ANN model was shown to relate urinary salbutamol excretion at 30 min post-inhalation, which is the index of relative lung bioavailability of salbutamol, to specific fractions of the particle size distribution, to subject body surface area and to the methods of nebulization. This model was validated using unseen data and gave good agreement with pharmacokinetic outcomes for 17 data records. The model gave improved predictions of urinary salbutamol excretion for individual subjects compared to the published linear correlation generated using the same data. It is therefore concluded that ANN models have the potential to provide reliable estimates of pharmacokinetic performance that relate to lung deposition, for nebulized medicines in individual subjects.
Authors:
Marcel de Matas; Qun Shao; Victoria Louise Silkstone; Henry Chrystyn
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Publication Detail:
Type:  Clinical Trial; Comparative Study; Journal Article    
Journal Detail:
Title:  Journal of pharmaceutical sciences     Volume:  96     ISSN:  0022-3549     ISO Abbreviation:  J Pharm Sci     Publication Date:  2007 Dec 
Date Detail:
Created Date:  2007-11-01     Completed Date:  2008-02-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2985195R     Medline TA:  J Pharm Sci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3293-303     Citation Subset:  IM    
Copyright Information:
(c) 2007 Wiley-Liss, Inc.
Affiliation:
Institute of Pharmaceutical Innovation, University of Bradford, Bradford, UK. m.dematas1@bradford.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Administration, Inhalation
Adult
Aerosols
Albuterol / administration & dosage,  chemistry,  pharmacokinetics*,  urine
Biological Availability
Body Surface Area
Bronchodilator Agents / administration & dosage,  chemistry,  pharmacokinetics*,  urine
Female
Humans
Lung / metabolism*
Male
Middle Aged
Models, Biological*
Nebulizers and Vaporizers*
Neural Networks (Computer)*
Particle Size
Reproducibility of Results
Technology, Pharmaceutical / methods*
Chemical
Reg. No./Substance:
0/Aerosols; 0/Bronchodilator Agents; 18559-94-9/Albuterol

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