Literature DB >> 21172907

Pharmacokinetic modeling and [¹²³]5-IA-85380 single photon emission computed tomography imaging in baboons: optimization of dosing regimen for ABT-089.

Chih-Liang Chin1, Robert A Carr, Daniel A Llano, Olivier Barret, Hongyu Xu, Jeffrey Batis, Andrei O Koren, John P Seibyl, Kennan C Marsh, Gilles Tamagnan, Michael W Decker, Mark Day, Gerard B Fox.   

Abstract

Neuronal acetylcholine nicotinic receptors (nAChRs) are targets for the development of novel treatments of brain diseases. However, adverse effects (for example, emesis or nausea) associated with high drug maximal exposures or C(max) at nAChRs often hinder the advancement of experimental compounds in clinical trials. Therefore, it is essential to explore the feasibility of maintaining exposures below a predetermined C(max) while sustaining targeted CNS effects. By use of a [¹²³I]5-IA [5-[¹²³I]iodo-3-[2(S)-azetidinylmethoxy]pyridine] displacement SPECT imaging paradigm in nonhuman primates, we compared brain nAChR binding activity elicited by either a bolus injection or by slow infusion of an identical dose of a novel neuronal nicotinic agonist, ABT-089 [2-methyl-3-(2-(S)-pyrrolidinylmethoxy)pyridine dihydrochloride], where the slow infusion scheme was derived from a two-compartment pharmacokinetic modeling designed to limit the C(max). We determined [¹²³I]5-IA displacement using doses of ABT-089 (0.04, 0.4, and 1.0 mg/kg i.v.) that encompassed efficacious drug exposures in nonhuman primates and examined the relationship between ABT-089 displacement ratios and plasma exposures. Our results indicated that calculated displacement ratios were quite similar between the two different dosing regimens despite substantial differences in C(max). In addition, displacement ratios correlated well with drug exposures calculated as the area-under-curve (AUC) of plasma concentration and varied in a dose-dependent manner, suggesting that displacement ratios are driven by the AUC of drug plasma exposure but not C(max). Our data demonstrate the feasibility of predicting plasma exposures using a two-compartment pharmacokinetic model and its potential for optimizing dosing regimens.

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Year:  2010        PMID: 21172907     DOI: 10.1124/jpet.110.173609

Source DB:  PubMed          Journal:  J Pharmacol Exp Ther        ISSN: 0022-3565            Impact factor:   4.030


  5 in total

Review 1.  Progress and challenges in the study of α6-containing nicotinic acetylcholine receptors.

Authors:  Sharon R Letchworth; Paul Whiteaker
Journal:  Biochem Pharmacol       Date:  2011-06-28       Impact factor: 5.858

2.  Positron emission tomography quantification of serotonin transporter binding in medication-free bipolar disorder.

Authors:  Jeffrey M Miller; Benjamin A Everett; Maria A Oquendo; R Todd Ogden; J John Mann; Ramin V Parsey
Journal:  Synapse       Date:  2015-10-19       Impact factor: 2.562

3.  Positron emission tomography quantification of serotonin transporter in suicide attempters with major depressive disorder.

Authors:  Jeffrey M Miller; Natalie Hesselgrave; R Todd Ogden; Gregory M Sullivan; Maria A Oquendo; J John Mann; Ramin V Parsey
Journal:  Biol Psychiatry       Date:  2013-03-01       Impact factor: 13.382

4.  Relationship of the serotonin transporter gene promoter polymorphism (5-HTTLPR) genotype and serotonin transporter binding to neural processing of negative emotional stimuli.

Authors:  Noam Schneck; Jeffrey M Miller; Christine Delorenzo; Toshiaki Kikuchi; M Elizabeth Sublette; Maria A Oquendo; J John Mann; Ramin V Parsey
Journal:  J Affect Disord       Date:  2015-11-04       Impact factor: 4.839

5.  Prediction of selective serotonin reuptake inhibitor response using diffusion-weighted MRI.

Authors:  Christine Delorenzo; Lauren Delaparte; Binod Thapa-Chhetry; Jeffrey M Miller; J John Mann; Ramin V Parsey
Journal:  Front Psychiatry       Date:  2013-03-06       Impact factor: 4.157

  5 in total

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