Literature DB >> 27571746

Pharmacokinetic-Pharmacodynamic (PKPD) Analysis with Drug Discrimination.

S Stevens Negus1, Matthew L Banks2.   

Abstract

Discriminative stimulus and other drug effects are determined by the concentration of drug at its target receptor and by the pharmacodynamic consequences of drug-receptor interaction. For in vivo procedures such as drug discrimination, drug concentration at receptors in a given anatomical location (e.g., the brain) is determined both by the dose of drug administered and by pharmacokinetic processes of absorption, distribution, metabolism, and excretion that deliver drug to and from that anatomical location. Drug discrimination data are often analyzed by strategies of dose-effect analysis to determine parameters such as potency and efficacy. Pharmacokinetic-Pharmacodynamic (PKPD) analysis is an alternative to conventional dose-effect analysis, and it relates drug effects to a measure of drug concentration in a body compartment (e.g., venous blood) rather than to drug dose. PKPD analysis can yield insights on pharmacokinetic and pharmacodynamic determinants of drug action. PKPD analysis can also facilitate translational research by identifying species differences in pharmacokinetics and providing a basis for integrating these differences into interpretation of drug effects. Examples are discussed here to illustrate the application of PKPD analysis to the evaluation of drug effects in rhesus monkeys trained to discriminate cocaine from saline.

Entities:  

Keywords:  Acute tolerance; Cocaine; Drug discrimination; Hysteresis; Pharmacodynamics; Pharmacokinetics; Prodrug

Mesh:

Substances:

Year:  2018        PMID: 27571746      PMCID: PMC5446801          DOI: 10.1007/7854_2016_36

Source DB:  PubMed          Journal:  Curr Top Behav Neurosci        ISSN: 1866-3370


  26 in total

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Review 2.  Prodrugs--from serendipity to rational design.

Authors:  Kristiina M Huttunen; Hannu Raunio; Jarkko Rautio
Journal:  Pharmacol Rev       Date:  2011-07-07       Impact factor: 25.468

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Journal:  J Pharmacol Exp Ther       Date:  1996-12       Impact factor: 4.030

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Journal:  J Pharmacol Exp Ther       Date:  1990-07       Impact factor: 4.030

Review 5.  The virtue of translational PKPD modeling in drug discovery: selecting the right clinical candidate while sparing animal lives.

Authors:  Tjerk Bueters; Bart A Ploeger; Sandra A G Visser
Journal:  Drug Discov Today       Date:  2013-05-09       Impact factor: 7.851

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Authors:  Leonard L Howell; S Stevens Negus
Journal:  Adv Pharmacol       Date:  2014

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Journal:  Psychiatr Clin North Am       Date:  2011-12

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Journal:  Eur J Pharmacol       Date:  2002-06-28       Impact factor: 4.432

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Authors:  R D Garza; C E Johanson
Journal:  Pharmacol Biochem Behav       Date:  1983-07       Impact factor: 3.533

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Journal:  J Pharmacol Exp Ther       Date:  1985-12       Impact factor: 4.030

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  4 in total

1.  Design, Synthesis, and Characterization of 4-Undecylpiperidine-2-carboxamides as Positive Allosteric Modulators of the Serotonin (5-HT) 5-HT2C Receptor.

Authors:  Christopher T Wild; Joanna M Miszkiel; Eric A Wold; Claudia A Soto; Chunyong Ding; Rachel M Hartley; Mark A White; Noelle C Anastasio; Kathryn A Cunningham; Jia Zhou
Journal:  J Med Chem       Date:  2018-04-13       Impact factor: 7.446

2.  Computational modeling of drug dissolution in the human stomach: Effects of posture and gastroparesis on drug bioavailability.

Authors:  J H Lee; S Kuhar; J-H Seo; P J Pasricha; R Mittal
Journal:  Phys Fluids (1994)       Date:  2022-08-09       Impact factor: 4.980

3.  Flow Rate and Apparent Volume of Cerebrospinal Fluid in Rhesus Macaques (Macaca mulatta) Based on the Pharmacokinetics of Intrathecally Administered Inulin.

Authors:  Cynthia M Lester McCully; Louis T Rodgers; Rafael Cruz Garica; Marvin L Thomas; Cody J Peer; William D Figg; Dennis E Barnard; Katherine E Warren
Journal:  Comp Med       Date:  2020-10-12       Impact factor: 0.982

Review 4.  The Combination of Cell Cultured Technology and In Silico Model to Inform the Drug Development.

Authors:  Zhengying Zhou; Jinwei Zhu; Muhan Jiang; Lan Sang; Kun Hao; Hua He
Journal:  Pharmaceutics       Date:  2021-05-12       Impact factor: 6.321

  4 in total

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