14 research outputs found

    E-Liquid Autofluorescence can be used as a Marker of Vaping Deposition and Third-Hand Vape Exposure

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    In the past 5 years, e-cigarette use has been increasing rapidly, particularly in youth and young adults. Due to the novelty of e-cigarettes (e-cigs) and e-cigarette liquids (e-liquids), research on their chemo-physical properties is still in its infancy. Here, we describe a previously unknown and potentially useful property of e-liquids, namely their autofluorescence. We performed an emission scan at 9 excitation wavelengths common to fluorescent microscopy and found (i) that autofluorescence differs widely between e-liquids, (ii) that e-liquids are most fluorescent in the UV range (between 350 and 405 nm) and (iii) fluorescence intensity wanes as the emission wavelength increases. Furthermore, we used the autofluorescence of e-liquids as a marker for tracking e-cig aerosol deposition in the laboratory. Using linear regression analysis, we were able to quantify the deposition of a "vaped" e-liquid onto hard surfaces. Using this technique, we found that every 70 mL puff of an e-cigarette deposited 0.019% e-liquid (v/v) in a controlled environment. Finally, we vaped a surface in the laboratory and used our method to detect e-cig aerosol third-hand exposure. In conclusion, our data suggest that e-cigarette autofluorescence can be used as a marker of e-cigarette deposition

    N -Benzyl-5-methoxytryptamines as Potent Serotonin 5-HT 2 Receptor Family Agonists and Comparison with a Series of Phenethylamine Analogues

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    A series of N-benzylated-5-methoxytryptamine analogues was prepared and investigated, with special emphasis on substituents in the meta position of the benzyl group. A parallel series of several N-benzylated analogues of 2,5-dimethoxy-4-iodophenethylamine (2C-I) also was included for comparison of the two major templates (i.e., tryptamine and phenethylamine). A broad affinity screen at serotonin receptors showed that most of the compounds had the highest affinity at the 5-HT2 family receptors. Substitution at the para position of the benzyl group resulted in reduced affinity, whereas substitution in either the ortho or the meta position enhanced affinity. In general, introduction of a large lipophilic group improved affinity, whereas functional activity often followed the opposite trend. Tests of the compounds for functional activity utilized intracellular Ca2+ mobilization. Function was measured at the human 5-HT2A, 5-HT2B, and 5-HT2C receptors, as well as at the rat 5-HT2A and 5-HT2C receptors. There was no general correlation between affinity and function. Several of the tryptamine congeners were very potent functionally (EC50 values from 7.6 to 63 nM), but most were partial agonists. Tests in the mouse head twitch assay revealed that many of the compounds induced the head twitch and that there was a significant correlation between this behavior and functional potency at the rat 5-HT2A receptor

    A New DREADD Facilitates the Multiplexed Chemogenetic Interrogation of Behavior

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    DREADDs are chemogenetic tools widely used to remotely control cellular signaling, neuronal activity and behavior. Here we used a structure-based approach to develop a new Gi coupled DREADD using the kappa-opioid receptor as template (KORD) that is activated by the pharmacologically inert ligand salvinorin B (SALB). Activation of virally-expressed KORD in several neuronal contexts robustly attenuated neuronal activity and modified behaviors. Additionally, co-expression of the KORD and the Gq coupled M3-DREADD within the same neuronal population facilitated the sequential and bi-directional remote control of behavior. The availability of DREADDs activated by different ligands provides enhanced opportunities for investigating diverse physiological systems using multiplexed chemogenetic actuators

    Evaluation of e-liquid toxicity using an open-source high-throughput screening assay

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    <div><p>The e-liquids used in electronic cigarettes (E-cigs) consist of propylene glycol (PG), vegetable glycerin (VG), nicotine, and chemical additives for flavoring. There are currently over 7,700 e-liquid flavors available, and while some have been tested for toxicity in the laboratory, most have not. Here, we developed a 3-phase, 384-well, plate-based, high-throughput screening (HTS) assay to rapidly triage and validate the toxicity of multiple e-liquids. Our data demonstrated that the PG/VG vehicle adversely affected cell viability and that a large number of e-liquids were more toxic than PG/VG. We also performed gas chromatographyā€“mass spectrometry (GC-MS) analysis on all tested e-liquids. Subsequent nonmetric multidimensional scaling (NMDS) analysis revealed that e-liquids are an extremely heterogeneous group. Furthermore, these data indicated that (i) the more chemicals contained in an e-liquid, the more toxic it was likely to be and (ii) the presence of vanillin was associated with higher toxicity values. Further analysis of common constituents by electron ionization revealed that the concentration of cinnamaldehyde and vanillin, but not triacetin, correlated with toxicity. We have also developed a publicly available searchable website (<a href="http://www.eliquidinfo.org" target="_blank">www.eliquidinfo.org</a>). Given the large numbers of available e-liquids, this website will serve as a resource to facilitate dissemination of this information. Our data suggest that an HTS approach to evaluate the toxicity of multiple e-liquids is feasible. Such an approach may serve as a roadmap to enable bodies such as the Food and Drug Administration (FDA) to better regulate e-liquid composition.</p></div

    Vanillin and cinnamaldehyde concentrations correlate with toxicity in select e-liquids.

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    <p>(A) Graph showing toxicity (LC<sub>50</sub>) versus ā€œvanillinā€ in select e-liquids. LC<sub>50</sub> = āˆ’2.70 Ɨ log<sub>10</sub>(vanillin [M]) + 5.06; R<sup>2</sup> = 0.62 (linear regression analysis). (B) Graph showing toxicity (LC<sub>50</sub>) versus ā€œcinnamaldehydeā€ in select e-liquids. LC<sub>50</sub> = āˆ’1.12 Ɨ log<sub>10</sub>(cinnamaldehyde[M]) + 1.08; R<sup>2</sup> = 0.75 (linear regression analysis). (C) Graph showing toxicity (LC<sub>50</sub>) versus ā€œtriacetinā€ in select e-liquids. ā€œN.B.ā€ = no linear relationship was detected for triacetin. We used this chemical as an example of nontoxic control. Raw data are available in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2003904#pbio.2003904.s010" target="_blank">S7 Data</a>. LC<sub>50</sub>, concentration at which a given agent is lethal to 50% of the cells; nc, no nicotine.</p

    Toxicity of ā€œvapedā€ versus neat e-liquids.

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    <p>(A) Mean normalized viability of HEK293T cells following exposure of vaped e-liquids. <i>N</i> ā‰„ 5 per treatment. (B) Mean normalized viability of primary human alveolar macrophages following exposure of vaped e-liquids. <i>N</i> ā‰„ 5 per treatment. (C) Mean normalized viability of HBECs following exposure to vaped e-liquids. <i>N</i> ā‰„ 5 per treatment. (D) Graph showing HEK293T vaped viability versus HEK293T toxicity (LC<sub>50</sub>) obtained using neat e-liquids. Linear regression R<sup>2</sup> = 0.66. (E) Graph showing primary human alveolar macrophage vaped viability versus HEK293T toxicity (LC<sub>50</sub>). Linear regression R<sup>2</sup> = 0.06. (F) HBEC viability using vaped e-liquids versus HEK293T toxicity (LC<sub>50</sub>). Linear regression R<sup>2</sup> = 0.74. * = <i>p</i> < 0.05 different from control. For A, B, and C we performed statistical analysis using one-way ANOVA followed by Dunnettā€™s Test. B. N. B. Smoothie, Chocolate B., and Coconut Water. Raw data are available in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2003904#pbio.2003904.s008" target="_blank">S5 Data</a>. B. N. B. Smoothie, Banana Nut Bread Smoothie; Chocolate B., Chocolate Banana; HBEC, human bronchial epithelial cells; HEK293T, human embryonic kidney 293 cells; LC<sub>50</sub>, concentration at which a given agent is lethal to 50% of the cells.</p

    Development of preliminary screens to assess e-liquid toxicity in vitro.

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    <p>Cells were incubated for 8 h in 384-well plates, e-liquids were added as indicated for 24 h, and bright-field images were automatically obtained every 2 h to determine growth rates. Cell surface area, as an indicator of confluency, was normalized to the media control. All <i>N =</i> 4. (A) Bright-field images of HEK293T cells incubated overnight with vehicle, 10% PG/VG + media, or 1% banana pudding-, candy corn-, chocolate fudge-, or popcorn-flavored e-liquids. (B) Mean representative growth curves obtained from the bright-field images over time. Curves were categorized as follows: normal growth, media control and popcorn ; reduced growth, candy corn ; no growth, banana pudding ; and toxic, 10% PG/VG and chocolate fudge . (C) Images of HEK293T cells stained with calcein-AM after overnight incubation with vehicle, 10% PG/VG + media, 1% banana pudding-, candy corn-, chocolate fudge-, or popcorn-flavored e-liquids. (D) Quantification of calcein-AM fluorescence (i.e., viability) expressed as mean Ā± SEM. All <i>n =</i> 3. The positive control (10% PG/VG + media) used the same PG/VG ratio as the e-liquids. (E) Heat map depicting Ī” growth (%) and live-cell fluorescence (%). Growth control and PG/VG controls are shown for reference. E-liquids are grouped in 3 distinct categories from the clustering: 1 (red), e-liquids that showed low Ī” growth and live-cell fluorescence % (0%ā€“40%); 2 (yellow), e-liquids that showed moderate (40%ā€“100%) Ī” growth and low live-cell fluorescence % (0%ā€“40%); and 3 (green), e-liquids that showed high Ī” growth and live-cell fluorescence % (80%ā€“100%). (F) E-liquids were grouped according to Ī” growth and live-cell fluorescence. Numbers represent number of e-liquids in a category. Raw data are available in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2003904#pbio.2003904.s004" target="_blank">S1 Data</a>. HEK293T, human embryonic kidney 293 cells; PG, propylene glycol; VG, vegetable glycerin.</p

    Main screen used to assess e-liquid toxicity.

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    <p>A total of 148 e-liquids were run as 16-point doseā€“response curves using the viability assay. (A) Live (calcein-AM) and dead (PI) images for representative e-liquids. (Bā€“E) Representative e-liquid doseā€“response curves. PBS, negative control. PG/VG, toxic control. <i>N</i> ā‰„ 3. (F) Heat map of viability ratio per e-liquid, normalized to the average of the baseline. Each column represents an e-liquid flavor with increasing e-liquid (% volume/volume) and sorted by decreasing LC<sub>50</sub> values. (G) LC<sub>50</sub> distribution of 148 e-liquids tested (reported as % concentration). Raw data are available in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2003904#pbio.2003904.s006" target="_blank">S3 Data</a>. LC<sub>50</sub>, concentration at which a given agent is lethal to 50% of the cells; PBS, phosphate-buffered saline; PG, propylene glycol; PI, propidium iodide; VG, vegetable glycerin.</p

    Orthogonal assays to validate human airway cell types.

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    <p>(Aā€“C) Representative doseā€“response curves assayed in HEK293T. (A) hASMC; (B) hA549; (C) PBS (negative control), PG/VG (positive control); Blueberry Tobacco, Popcorn, Key Lime Pie, and Banana Pudding show left-shifted but similar toxicity trends. All <i>n =</i> 3. (D) Heat map showing all e-liquid flavors tested in the 3 cell lines above. E-liquids have been clustered by LC<sub>50</sub> values. Raw data are available in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2003904#pbio.2003904.s007" target="_blank">S4 Data</a>. hA549, human adenocarcinomic alveolar basal epithelial cells; hASMC, human airway smooth muscle cell; HEK293T, human embryonic kidney 293 cells; LC<sub>50</sub>, concentration at which a given agent is lethal to 50% of the cells; PBS, phosphate-buffered saline; PG, propylene glycol; VG, vegetable glycerin.</p

    PG/VG alone negatively affects cell viability.

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    <p>(A) Several concentrations of 55:45 PG/VG (0%ā€“30% range) were added to HEK293T and incubated for 24 h. Cell viability was assessed via surface area using bright-field images (<i>N =</i> 3). (B) PG/VG alters cell growth in a dose-dependent manner. LC<sub>50</sub> = 2.2 Ā± 0.2% (<i>N =</i> 4). (C). Viability was calculated measuring the ratio of fluorescence of calcein-AM/propidium iodide. PBS (nontoxic growth control), DMSO (toxic control), and 55:45 PG/VG were added to cells and incubated overnight. DMSO and PG/VG show similar LC<sub>50</sub> values (<i>N =</i> 3, <i>p</i> = 0.68), while PBS was significantly different (<i>p</i> < 0.0001). Raw data are available in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.2003904#pbio.2003904.s005" target="_blank">S2 Data</a>. DMSO, dimethyl sulfoxide; HEK293T, human embryonic kidney 293 cells; LC<sub>50</sub>, concentration at which a given agent is lethal to 50% of the cells; PBS, phosphate-buffered saline; PG, propylene glycol; VG, vegetable glycerin.</p
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