| Optimised protocol design for the screening of analgesic compounds in neuropathic pain. | |
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MedLine Citation:
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PMID: 23197246 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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We have previously shown how screening experiments for neuropathic pain can be optimised taking into account parameter and model uncertainty. Here we demonstrate how optimised protocols can be used to screen and rank candidate molecules. The concept is illustrated by pregabalin as a new chemical entity and gabapentin as a reference compound. ED-optimality was applied to a logistic regression model describing the relationship between drug exposure and response to evoked pain in the complete Freund's adjuvant (CFA) model in rats. Design variables for optimisation of the experimental protocol included dose levels and sampling times. Prior information from the reference compound was used in conjunction with relative in vitro potency as priors. Results from simulated scenarios were then combined with fitting of experimental data to estimate precision and bias of model parameters for the empirical and optimised designs. The pharmacokinetics of pregabalin was described by a two-compartment model. The expected value of EC(50) of pregabalin was 637.5 ng ml(-1). Model-based analysis of the data yielded median (range) of EC(50) values of 1,125 (898-2412) ng ml(-1) for the empirical protocol and 755 (189-756) ng ml(-1) for the optimised design. In contrast to current practice, optimal design entails different sampling schedule across dose levels. ED-optimised designs should become standard practice in the screening of candidate molecules. It ensures lower bias when estimating the drug potency, facilitating accurate ranking and selection of compounds for further development. |
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Authors:
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A Taneja; J Nyberg; M Danhof; O Della Pasqua |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-11-30 |
Journal Detail:
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Title: Journal of pharmacokinetics and pharmacodynamics Volume: - ISSN: 1573-8744 ISO Abbreviation: J Pharmacokinet Pharmacodyn Publication Date: 2012 Nov |
Date Detail:
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Created Date: 2012-11-30 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101096520 Medline TA: J Pharmacokinet Pharmacodyn Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Division of Pharmacology, LACDR, Leiden University, Leiden, The Netherlands. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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