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Han P, Jing X, Han S, Wang X, Li Q, Zhang Y, Yu P, Liu XA, Wu P, Chen H, Hou H, Hu Q. Pharmacokinetic differences in nicotine and nicotine salts mediate reinforcement-related behavior: an animal model study. Front Neurosci 2023; 17:1288102. [PMID: 38033549 PMCID: PMC10687399 DOI: 10.3389/fnins.2023.1288102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Accepted: 10/17/2023] [Indexed: 12/02/2023] Open
Abstract
Since their introduction in the United States and Europe in 2007, electronic cigarettes (E-Cigs) have become increasingly popular among smokers. Nicotine, a key component in both tobacco and e-cigarettes, can exist in two forms: nicotine-freebase (FBN) and nicotine salts (NS). While nicotine salt is becoming more popular in e-cigarettes, the effect of nicotine salts on reinforcement-related behaviors remains poorly understood. This study aimed to compare the reinforcing effects of nicotine and nicotine salts in animal models of drug self-administration and explore potential mechanisms that may contribute to these differences. The results demonstrated that three nicotine salts (nicotine benzoate, nicotine lactate, and nicotine tartrate) resulted in greater reinforcement-related behaviors in rats compared to nicotine-freebase. Moreover, withdrawal-induced anxiety symptoms were lower in the three nicotine salt groups than in the nicotine-freebase group. The study suggested that differences in the pharmacokinetics of nicotine-freebase and nicotine salts in vivo may explain the observed behavioral differences. Overall, this study provides valuable insights into the reinforcing effects of nicotine as well as potential differences between nicotine-freebase and nicotine salts.
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Affiliation(s)
- Pengfei Han
- Institute of Biomedical Engineering, College of Life Sciences, Qingdao University, Qingdao, China
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Xiaoyuan Jing
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Shulei Han
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Xinsheng Wang
- Institute of Biomedical Engineering, College of Life Sciences, Qingdao University, Qingdao, China
| | - Qiannan Li
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Yuan Zhang
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Pengpeng Yu
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Xin-an Liu
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Ping Wu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Beijing, China
| | - Huan Chen
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Hongwei Hou
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, China
| | - Qingyuan Hu
- China National Tobacco Quality Supervision and Test Center, Zhengzhou, China
- Key Laboratory of Tobacco Biological Effects, Zhengzhou, China
- Beijing Life Science Academy, Beijing, China
- Key Laboratory of Tobacco Biological Effects and Biosynthesis, Beijing, China
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Harris AC. Further pharmacological characterization of a preclinical model of the early development of nicotine withdrawal. Drug Alcohol Depend 2021; 226:108870. [PMID: 34216863 DOI: 10.1016/j.drugalcdep.2021.108870] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 05/24/2021] [Accepted: 06/10/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Establishing preclinical models of the development of nicotine withdrawal following acute nicotine exposure could inform tobacco addiction-related research, treatment, and policy. To this end, this lab has previously reported that rats exhibit withdrawal-like elevations in intracranial self-stimulation (ICSS) thresholds (anhedonia-like behavior) following acute nicotine exposure. The goal of this study was to provide further pharmacological characterization of ICSS as a measure of spontaneous and antagonist-precipitated withdrawal from acute nicotine. METHODS AND RESULTS Rats exhibited a small increase in ICSS thresholds over time following a single nicotine injection (1.0 mg/kg, s.c.), suggesting a modest spontaneous withdrawal effect (Experiment 1). In Experiment 2, the antidepressant bupropion (5.0 mg/kg, i.p.), which is used to treat tobacco addiction and attenuates nicotine withdrawal in both humans and rodents, blocked elevations in ICSS thresholds induced by a single injection of nicotine (0.5 mg/kg, s.c.) followed ≈ 2 h later by the non-selective, non-competitive nicotinic acetylcholine receptor (nAChR) antagonist mecamylamine (3.0 mg/kg, s.c.). In Experiment 3a, s.c. administration of the competitive, relatively selective α4ß2 nAChR antagonist dihydro-beta-erythroidine (DHßE) (5.6 mg/kg, but not 3.0 mg/kg) following each of 5 daily injections of nicotine (0.5 mg/kg, s.c.) elevated ICSS thresholds. Mecamylamine (3.0 mg/kg, s.c.) also elevated ICSS thresholds when administered following all 5 daily nicotine injections (0.5 mg/kg, s.c., Experiment 3b). CONCLUSIONS These findings provide further characterization of elevations in ICSS thresholds as a measure of withdrawal from acute nicotine exposure. Further use of these models may be useful for understanding the early development of nicotine withdrawal.
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Affiliation(s)
- Andrew C Harris
- Hennepin Healthcare Research Institute, 701 Park Avenue, Minneapolis, MN 55415, United States; Departments of Medicine and Psychology, University of Minnesota Minneapolis, MN, United States.
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