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Rapid quantitative pharmacodynamic imaging by a novel method: theory, simulation testing and proof of principle

Pharmacological challenge imaging has mapped, but rarely quantified, the sensitivity of a biological system to a given drug. We describe a novel method called rapid quantitative pharmacodynamic imaging. This method combines pharmacokinetic-pharmacodynamic modeling, repeated small doses of a challeng...

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Detalles Bibliográficos
Autores principales: Black, Kevin J., Koller, Jonathan M., Miller, Brad D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740141/
https://www.ncbi.nlm.nih.gov/pubmed/23940831
http://dx.doi.org/10.7717/peerj.117
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author Black, Kevin J.
Koller, Jonathan M.
Miller, Brad D.
author_facet Black, Kevin J.
Koller, Jonathan M.
Miller, Brad D.
author_sort Black, Kevin J.
collection PubMed
description Pharmacological challenge imaging has mapped, but rarely quantified, the sensitivity of a biological system to a given drug. We describe a novel method called rapid quantitative pharmacodynamic imaging. This method combines pharmacokinetic-pharmacodynamic modeling, repeated small doses of a challenge drug over a short time scale, and functional imaging to rapidly provide quantitative estimates of drug sensitivity including EC(50) (the concentration of drug that produces half the maximum possible effect). We first test the method with simulated data, assuming a typical sigmoidal dose-response curve and assuming imperfect imaging that includes artifactual baseline signal drift and random error. With these few assumptions, rapid quantitative pharmacodynamic imaging reliably estimates EC(50) from the simulated data, except when noise overwhelms the drug effect or when the effect occurs only at high doses. In preliminary fMRI studies of primate brain using a dopamine agonist, the observed noise level is modest compared with observed drug effects, and a quantitative EC(50) can be obtained from some regional time-signal curves. Taken together, these results suggest that research and clinical applications for rapid quantitative pharmacodynamic imaging are realistic.
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spelling pubmed-37401412013-08-12 Rapid quantitative pharmacodynamic imaging by a novel method: theory, simulation testing and proof of principle Black, Kevin J. Koller, Jonathan M. Miller, Brad D. PeerJ Neuroscience Pharmacological challenge imaging has mapped, but rarely quantified, the sensitivity of a biological system to a given drug. We describe a novel method called rapid quantitative pharmacodynamic imaging. This method combines pharmacokinetic-pharmacodynamic modeling, repeated small doses of a challenge drug over a short time scale, and functional imaging to rapidly provide quantitative estimates of drug sensitivity including EC(50) (the concentration of drug that produces half the maximum possible effect). We first test the method with simulated data, assuming a typical sigmoidal dose-response curve and assuming imperfect imaging that includes artifactual baseline signal drift and random error. With these few assumptions, rapid quantitative pharmacodynamic imaging reliably estimates EC(50) from the simulated data, except when noise overwhelms the drug effect or when the effect occurs only at high doses. In preliminary fMRI studies of primate brain using a dopamine agonist, the observed noise level is modest compared with observed drug effects, and a quantitative EC(50) can be obtained from some regional time-signal curves. Taken together, these results suggest that research and clinical applications for rapid quantitative pharmacodynamic imaging are realistic. PeerJ Inc. 2013-08-01 /pmc/articles/PMC3740141/ /pubmed/23940831 http://dx.doi.org/10.7717/peerj.117 Text en © 2013 Black et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Neuroscience
Black, Kevin J.
Koller, Jonathan M.
Miller, Brad D.
Rapid quantitative pharmacodynamic imaging by a novel method: theory, simulation testing and proof of principle
title Rapid quantitative pharmacodynamic imaging by a novel method: theory, simulation testing and proof of principle
title_full Rapid quantitative pharmacodynamic imaging by a novel method: theory, simulation testing and proof of principle
title_fullStr Rapid quantitative pharmacodynamic imaging by a novel method: theory, simulation testing and proof of principle
title_full_unstemmed Rapid quantitative pharmacodynamic imaging by a novel method: theory, simulation testing and proof of principle
title_short Rapid quantitative pharmacodynamic imaging by a novel method: theory, simulation testing and proof of principle
title_sort rapid quantitative pharmacodynamic imaging by a novel method: theory, simulation testing and proof of principle
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740141/
https://www.ncbi.nlm.nih.gov/pubmed/23940831
http://dx.doi.org/10.7717/peerj.117
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