Using growth models to relate acquisition of nicotine self-administration to break point and nicotinic receptor binding

Drug and Alcohol Dependence
Eric C DonnyP P Rowell

Abstract

Growth modeling can be used to characterize individual and mean acquisition trajectories for drug self-administration. Individual characteristics can also be incorporated into the growth model, providing a powerful tool for investigating the relationship between acquisition and other behavioral and biological measures. We illustrate the utility of this method by examining the relationship between acquisition of nicotine self-administration and (1) break point on a progressive ratio schedule of reinforcement, and (2) the density of brain nicotinic receptors (B(max)). Daily infusion rates from male and female Sprague-Dawley rats were modeled with break point or B(max) as time-invariant covariates. Use of this model led to two novel findings regarding individual differences in acquisition. First, greater rates of change in infusions early in acquisition were related to higher break points; this relationship was mediated by a similar effect of increasing the number of responses required to obtain nicotine. Second, animals displaying more resistance to increases in the response requirement during acquisition, as indicated by a smaller drop in the rate of nicotine self-administration, generally had fewer nicotinic receptors at the en...Continue Reading

Citations

May 18, 2007·Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology·Megan J ShramAnh D Lê
Sep 6, 2012·Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco·Eric C DonnyAlan F Sved
Jun 15, 2007·Pharmacology, Biochemistry, and Behavior·W C GriffinL D Middaugh
Jul 15, 2004·Annals of the New York Academy of Sciences·Richard R Clayton
Jan 17, 2012·Drug and Alcohol Dependence·Natalie A PeartreeJanet L Neisewander
Jun 15, 2014·The American Journal of Sports Medicine·Julianne D SchmidtStephen W Marshall

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