Inhale, exhale: Probing the inside-out mechanism of nicotine addiction using novel fluorescent sensors

McManus, Owen B.; Werley, Christopher A.; Dempsey, Graham T.

doi:10.1085/jgp.201912325

Cited by 3 publications

(3 citation statements)

References 26 publications

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“…Consistent evidence of the gateway theory of an association between e-cigarette use and subsequent cigarette smoking initiation has been reported in a meta-analysis done by Soneji et al This theory, as well as the well-established addictive nature of nicotine, make the rapid uptake of e-cigarettes among teenagers—described as an epidemic by the US Food and Drug Administration and the US Surgeon General—particularly concerning, especially because our findings show no difference in association between e-cigarette use and depression among younger and older adults.…”

Section: Discussionsupporting

confidence: 91%

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Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017

et al. 2019

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IMPORTANCE The prevalence of the use of electronic cigarettes (e-cigarettes) in the United States has grown rapidly since their introduction to the market more than a decade ago. While several studies have demonstrated an association between combustible cigarette smoking and depression, the association between e-cigarette use and depression has not been thoroughly studied. OBJECTIVE To examine the association between e-cigarette use and depression in a nationallyrepresentative sample of the adult population in the United States. DESIGN, SETTING, AND PARTICIPANTS Cross-sectional study of the Behavioral Risk FactorSurveillance System database, 2016 to 2017. The Behavioral Risk Factor Surveillance System is the largest national telephone-based survey of randomly sampled adults in the United States. A total of 892 394 participants with information on e-cigarette use and depression were included. Data analysis was conducted in May 2019.EXPOSURES Electronic cigarette use status defined by self-report as never, former, or current use. MAIN OUTCOMES AND MEASURES Self-reported history of a clinical diagnosis of depression. RESULTSOf the 892 394 participants (414 326 [29.0%] aged Ն60 years; 502 448 [51.3%] women), there were 28 736 (4.4%) current e-cigarette users, of whom 13 071 (62.1%) were aged between 18 and 39 years. Compared with never e-cigarette users, current e-cigarette users were more likely to be single, male, younger than 40 years, and current combustible cigarette smokers (single, 120 797 [24.3%] vs 10 517 [48.4%]; men, 318 970 [46.6%] vs 14 962 [60.1%]; aged 18-39 years, 129 085 [32.2%] vs 13 071 [62.1%]; current combustible cigarette use, 217 895 [7.9%] vs 8823 [51.8%]). In multivariable adjusted models, former e-cigarette users had 1.60-fold (95% CI, 1.54-1.67) higher odds of reporting a history of clinical diagnosis of depression than never users, whereas current e-cigarette users had 2.10 (95% CI, 1.98-2.23) times higher odds. Additionally, higher odds of reporting depression were observed with increased frequency of use among current e-cigarette users compared with never users (daily use: odds ratio, 2.39; 95% CI, 2.19-2.61; occasional use: odds ratio, 1.96; 95% CI, 1.82-2.10). Similar results were seen in subgroup analyses by sex, race/ethnicity, smoking status, and student status. CONCLUSIONS AND RELEVANCEThis study found a significant cross-sectional association between e-cigarette use and depression, which highlights the need for prospective studies analyzing the longitudinal risk of depression with e-cigarette use. If confirmed by other study designs, the potential mental health consequences may have regulatory implications for novel tobacco products.

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Section: Discussionsupporting

confidence: 91%

Section: Jama Network Open | Public Healthsupporting

confidence: 57%

Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017

et al. 2019

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“…Different membrane-targeting strategies, in addition to the PDGFR TM domain, were applied, such as glycosylphosphatidylinositol (GPI) anchor and the cytosolic C-terminal domain of Stargazin thus iGluSnFR3 shows the better membrane trafficking and localization ( Aggarwal et al, 2022 ). The ligand-sensing biosensors for other GPCR ligands have also been developed, for example, γ-aminobutyric acid (GABA), nicotine, and acetylcholine biosensors ( Marvin et al, 2013 ; McManus et al, 2019 ; Borden et al, 2020 ). These GPCR biosensors enabled the real-time monitoring of the ligand release in cultured cells as well as in vivo ( Sabatini and Tian, 2020 ).…”

Section: Binding Extracellular Ligand To Gpcrmentioning

confidence: 99%

Genetically encoded fluorescent biosensors for GPCR research

Kim

Baek

2022

Front. Cell Dev. Biol.

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G protein-coupled receptors (GPCRs) regulate a wide range of physiological and pathophysiological cellular processes, thus it is important to understand how GPCRs are activated and function in various cellular contexts. In particular, the activation process of GPCRs is dynamically regulated upon various extracellular stimuli, and emerging evidence suggests the subcellular functions of GPCRs at endosomes and other organelles. Therefore, precise monitoring of the GPCR activation process with high spatiotemporal resolution is required to investigate the underlying molecular mechanisms of GPCR functions. In this review, we will introduce genetically encoded fluorescent biosensors that can precisely monitor the real-time GPCR activation process in live cells. The process includes the binding of extracellular GPCR ligands, conformational change of GPCR, recruitment of G proteins or β-arrestin, GPCR internalization and trafficking, and the GPCR-related downstream signaling events. We will introduce fluorescent GPCR biosensors based on a variety of strategies such as fluorescent resonance energy transfer (FRET), bioluminescence resonance energy transfer (BRET), circular permuted fluorescent protein (cpFP), and nanobody. We will discuss the pros and cons of these GPCR biosensors as well as their applications in GPCR research.

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Expression and function of nicotinic acetylcholine receptors in specific neuronal populations: Focus on striatal and prefrontal circuits

Abbondanza,

Urushadze,

Alves-Barboza

et al. 2024

Pharmacological Research

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Inhale, exhale: Probing the inside-out mechanism of nicotine addiction using novel fluorescent sensors

Abstract: McManus, Werley, and Dempsey highlight new work showing that nicotine rapidly equilibrates in the ER after extracellular application.

Cited by 3 publications

References 26 publications

Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017

Association Between e-Cigarette Use and Depression in the Behavioral Risk Factor Surveillance System, 2016-2017

Genetically encoded fluorescent biosensors for GPCR research

Expression and function of nicotinic acetylcholine receptors in specific neuronal populations: Focus on striatal and prefrontal circuits

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