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Updated: Jul 17, 2026

Spectral Confocal Imaging of Fluorescently tagged Nicotinic Receptors in Knock-in Mice with Chronic Nicotine Administration
Published on: February 10, 2012
Population pharmacokinetics of nicotine and its metabolites I. Model development
Micha Levi1, Delia A Dempsey, Neal L Benowitz
1Division of Clinical Pharmacology and Experimental Therapeutics, Department of Medicine, University of California, San Francisco, San Francisco General Hospital Medical Center, San Francisco, CA 94143-1220, USA.
Abstract:
We present a mechanistic population model for the pharmacokinetics of nicotine (NIC), its primary (CYP2A6-generated) metabolite cotinine (COT), and COT's primary (CYP2A6-generated) metabolite, trans-3'-hydroxycotinine (3HC). Sixty-six subjects received oral deuterium-labeled NIC (NIC-d(2), 2 mg), and COT (COT-d(4), 10 mg) simultaneously. Frequent plasma/saliva samples were taken for measurement of concentrations of NIC-d(2), COT-d(2), 3HC-d(2), COT-d(4), and 3HC-d(4). A mechanistic population pharmacokinetic model was fitted to all data simultaneously. Most of the pharmacokinetic parameters found here agree with previous studies and with a previous model-independent analysis of these data. However, 3HC t(1/2) was found to be considerably shorter than a previously reported value, possibly because 3HC elimination was saturated with the larger doses used in the previous study. Additionally, the delay in the appearance of COT-d(2) in the blood was modeled as a time delay (t(1/2) = 12 min) in its release from the liver following NIC-d(2) administration. The most important result of the previous model-independent analysis of these data, confirmed here, is that NIC clearance to COT and the 3HC:COT saliva concentration ratio are highly correlated (r = 0.7-0.8). The correlation above support that idea that the 3HC:COT ratio can be used as a predictor of CYP2A6 activity and nicotine clearance. The model-based analysis extends and further justifies this conclusion.
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