Literature DB >> 28347784

A programmable smoke delivery device for PET imaging with cigarettes containing 11C-nicotine.

Yantao Zuo1, Pradeep K Garg2, Rachid Nazih2, Sudha Garg2, Jed E Rose1, Thangaraju Murugesan1, Alexey G Mukhin3.   

Abstract

INTRODUCTION: PET imaging with 11C-nicotine-loaded cigarettes is a valuable tool to directly assess fast nicotine kinetics and its neuropharmacological role in tobacco dependence. To eliminate variations among puffs inhaled by subjects, this work aimed to develop a programmable smoke delivery device (SDD) to produce highly reproducible and adjustable puffs of cigarette smoke for PET experiments. NEW
METHOD: The SDD was built around a programmable syringe pump as a smoking machine to draw a puff of smoke from a 11C-nicotine-loaded cigarette and make it available for a subject to take the smoke into the mouth and then inhale it during PET data acquisition. Brain nicotine time activity curves and total body absorbed 11C-nicotine doses (TAD) were measured in smokers who inhaled a single puff of smoke via the SDD from a 11C-nicotine-loaded cigarette.
RESULTS: Nearly identical brain nicotine kinetics were observed between participants who inhaled a puff of smoke through the SDD and those who inhaled directly from a cigarette. COMPARISON WITH EXISTING
METHODS: This new device minimizes puff variations that exist with earlier smoke delivery apparatuses which could introduce confounding factors.
CONCLUSIONS: The SDD is effective in delivering 11C-nicotine from the study cigarettes. Despite a 2-s increase in aging of smoke delivered through the SDD versus smoke taken directly from a cigarette, the difference in brain nicotine kinetics after 11C-nicotine delivery with and without use of the SDD is negligible. This refined device may be useful for future research on the deposition and pharmacokinetics of nicotine inhaled with tobacco smoke.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  (11)C-nicotine; Brain nicotine kinetics; PET; Smoke delivery device; Smoking

Mesh:

Substances:

Year:  2017        PMID: 28347784      PMCID: PMC5484172          DOI: 10.1016/j.jneumeth.2017.03.016

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.987


  17 in total

Review 1.  Clinical pharmacology of inhaled drugs of abuse: implications in understanding nicotine dependence.

Authors:  N L Benowitz
Journal:  NIDA Res Monogr       Date:  1990

2.  Smoking produces rapid rise of [11C]nicotine in human brain.

Authors:  Marc S Berridge; Scott M Apana; Kenichi K Nagano; Catherine E Berridge; Gregory P Leisure; Mark V Boswell
Journal:  Psychopharmacology (Berl)       Date:  2010-03-16       Impact factor: 4.530

3.  Effect of smoking parameters on the particle size distribution and predicted airway deposition of mainstream cigarette smoke.

Authors:  David B Kane; Bahman Asgharian; Owen T Price; Ali Rostami; Michael J Oldham
Journal:  Inhal Toxicol       Date:  2010-02       Impact factor: 2.724

4.  Improved gas chromatographic method for the determination of nicotine and cotinine in biologic fluids.

Authors:  P Jacob; M Wilson; N L Benowitz
Journal:  J Chromatogr       Date:  1981-01-02

Review 5.  Smoking, nicotine and neuropsychiatric disorders.

Authors:  Peter Dome; Judit Lazary; Miklos Peter Kalapos; Zoltan Rihmer
Journal:  Neurosci Biobehav Rev       Date:  2009-08-07       Impact factor: 8.989

6.  A therapeutic vaccine for nicotine dependence: preclinical efficacy, and Phase I safety and immunogenicity.

Authors:  Patrik Maurer; Gary T Jennings; Jörg Willers; Franziska Rohner; Ylva Lindman; Kirsten Roubicek; Wolfgang A Renner; Philipp Müller; Martin F Bachmann
Journal:  Eur J Immunol       Date:  2005-07       Impact factor: 5.532

7.  The effect of tobacco blend additives on the retention of nicotine and solanesol in the human respiratory tract and on subsequent plasma nicotine concentrations during cigarette smoking.

Authors:  Alan K Armitage; Michael Dixon; Barrie E Frost; Derek C Mariner; Neil M Sinclair
Journal:  Chem Res Toxicol       Date:  2004-04       Impact factor: 3.739

8.  Nicotine promotes tumor growth and metastasis in mouse models of lung cancer.

Authors:  Rebecca Davis; Wasia Rizwani; Sarmistha Banerjee; Michelle Kovacs; Eric Haura; Domenico Coppola; Srikumar Chellappan
Journal:  PLoS One       Date:  2009-10-20       Impact factor: 3.240

9.  Human cigarette smoking: effects of puff and inhalation parameters on smoke exposure.

Authors:  J P Zacny; M L Stitzer; F J Brown; J E Yingling; R R Griffiths
Journal:  J Pharmacol Exp Ther       Date:  1987-02       Impact factor: 4.030

10.  Nicotine induces the up-regulation of the α7-nicotinic receptor (α7-nAChR) in human squamous cell lung cancer cells via the Sp1/GATA protein pathway.

Authors:  Kathleen C Brown; Haley E Perry; Jamie K Lau; Dennie V Jones; Joseph F Pulliam; Brent A Thornhill; Clayton M Crabtree; Haitao Luo; Yi Charlie Chen; Piyali Dasgupta
Journal:  J Biol Chem       Date:  2013-10-02       Impact factor: 5.157

View more
  4 in total

1.  Development and optimization of a novel automated loop method for production of [11C]nicotine.

Authors:  Arijit Ghosh; Karen Woolum; Michael V Knopp; Krishan Kumar
Journal:  Appl Radiat Isot       Date:  2018-05-30       Impact factor: 1.513

2.  Human brain imaging of nicotinic acetylcholine α4β2* receptors using [18 F]Nifene: Selectivity, functional activity, toxicity, aging effects, gender effects, and extrathalamic pathways.

Authors:  Jogeshwar Mukherjee; Patrick J Lao; Tobey J Betthauser; Gurleen K Samra; Min-Liang Pan; Ishani H Patel; Christopher Liang; Raju Metherate; Bradley T Christian
Journal:  J Comp Neurol       Date:  2017-09-19       Impact factor: 3.215

3.  Comparison of brain nicotine uptake from electronic cigarettes and combustible cigarettes.

Authors:  Yantao Zuo; Kiran Kumar Solingapuram Sai; Alexey G Mukhin; Hannah Berg; Janiece D Morgan; Akiva Mintz; Jed E Rose
Journal:  Neuropsychopharmacology       Date:  2022-08-12       Impact factor: 8.294

4.  Rapid Brain Nicotine Uptake from Electronic Cigarettes.

Authors:  Kiran Kumar Solingapuram Sai; Yantao Zuo; Jed E Rose; Pradeep K Garg; Sudha Garg; Rachid Nazih; Akiva Mintz; Alexey G Mukhin
Journal:  J Nucl Med       Date:  2019-11-01       Impact factor: 10.057

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.