Connollymedlin7287

fied positive associations between baseline urinary biomarkers of exposure to tobacco-related toxicants and increased risks of subsequent respiratory symptoms across varying e-cigarette use groups. E-cigarette use is associated with increased exposure to known tobacco-related toxicants, and certain toxicant exposure increases the risk of respiratory symptoms.

This longitudinal study identified positive associations between baseline urinary biomarkers of exposure to tobacco-related toxicants and increased risks of subsequent respiratory symptoms across varying e-cigarette use groups. E-cigarette use is associated with increased exposure to known tobacco-related toxicants, and certain toxicant exposure increases the risk of respiratory symptoms.

The use of flavors in electronic cigarettes appeals to adults and never-smoking youth. Consumption has rapidly increased over the last decade, and in the U.S. market alone, there are over 8000 unique flavors. The U.S. Food and Drug Administration (FDA) has begun to regulate e-liquids, but many have not been tested, and their impact, both at the cellular level, and on human health remains unclear.

We tested e-liquids on the human cell line HEK293T and measured toxicity, mitochondrial membrane potential (ΔΨ  m), reactive oxygen species production (ROS), and cellular membrane potential (Vm) using high-throughput screening (HTS) approaches. Our HTS efforts included single-dose and 16-point dose-response curves, which allowed testing of ≥90 commercially available e-liquids in parallel to provide a rapid assessment of cellular effects as a proof of concept for a fast, preliminary toxicity method. We also investigated the chemical composition of the flavors via gas chromatography-mass spectrometry.

We found th composition.

E-liquid cellular toxicity can be predicted using parameters amenable to HTS. Our data suggest that ΔΨ  m, ROS, Vm, and toxicity may be indicative of the extent of cell death upon e-liquid exposure, and this toxicity is linked to the chemical composition, that is, flavoring components. Further research on the effect of flavors should be prioritized to help policy makers such as the FDA to regulate e-liquid composition.

Electronic cigarettes (ECIGs) expose users to an aerosol containing chemicals, which could affect the respiratory system negatively. This study examined negative respiratory symptoms associated with ECIG use.

In 2019, adult current ECIG users from 24 US states who reported experiencing negative respiratory symptoms from ECIG use (n = 49; 44.9% women; mean age = 35.2, SD = 11.5) completed an online survey and brainstormed statements that completed the prompt "A specific negative effect or symptom related to my breathing, nose, mouth, throat, or lungs that I have experienced from vaping/using my e-cigarette is..." Participants sorted the final list of 56 statements into groups of similar content and rated statements on how true they were for them. Multidimensional scaling analysis identified thematic clusters.

Eight ECIG use respiratory symptom clusters identified in analysis included Mucus and Congestion, Fatigue, Throat Symptoms, Breathing Problems, Mouth Symptoms, Chest Symptoms, Illness Symptoms, and d with negative respiratory symptoms. Many e-cigarette user-reported negative respiratory symptoms are similar to those associated with cigarette smoking, though some appear unique to e-cigarette use. Future research should continue to monitor respiratory symptoms reported by ECIG users and whether these are associated with health outcomes over time.

ECIG use exposes users to chemicals that may have negative health impacts on the respiratory system. Limited research has examined the broad range of negative respiratory symptoms associated with e-cigarette use. This study identified that ECIG-cigarette users perceive their ECIG use to be associated with negative respiratory symptoms. Many e-cigarette user-reported negative respiratory symptoms are similar to those associated with cigarette smoking, though some appear unique to e-cigarette use. Future research should continue to monitor respiratory symptoms reported by ECIG users and whether these are associated with health outcomes over time.

The use of electronic cigarettes (vaping), especially with marijuana, has become increasingly popular among adults.

The Population Assessment of Tobacco and Health study Wave 4 data on 33 606 adult participants who indicated ever using electronic cigarettes were included in the study. By controlling for confounding variables (such as age and smoking history), multivariable weighted logistic regression models were used to examine the cross-sectional association between lifetime e-cigarette use with or without marijuana and self-reported past 12-month respiratory symptoms as well as lifetime respiratory diseases.

Compared to adults who never vaped, adults who had ever vaped with marijuana had a significantly higher association with self-reported past 12-month respiratory symptoms but not lifetime respiratory diseases. Compared to adults who had ever vaped without marijuana, adults who had ever vaped at least sometimes with marijuana had a significantly greater risk of having wheezing/whistling in the chesl studies on the respiratory health effects of e-cigarette use with marijuana are warranted.

The use of e-cigarettes with marijuana has become prevalent in recent years. Our cross-sectional study suggests that there may be respiratory health symptoms associated with ever vaping with marijuana that is independent of nicotine vaping, which should raise public awareness of potential health risks associated with the use of e-cigarettes with marijuana. Further longitudinal studies on the respiratory health effects of e-cigarette use with marijuana are warranted.

Chemical elements and their toxicity were evaluated in electronic cigarette (EC) solvents, fluids, and aerosols.

Element identification and quantification in propylene glycol (PG), glycerin (G), refill fluids before and after use, and aerosols was done using inductively coupled plasma optical emission spectrometry. Cytotoxicity and oxidative stress were evaluated using in vitro assays.

Seven elements were present in PG, G, and popular refill fluids, and they transferred to aerosols made with ECs. find more Selenium was in all products (0.125-0.292 mg/L), while arsenic, aluminum, and tin were frequently in solvent and refill fluid samples at lower concentrations. Iron, chromium, copper, nickel, zinc, and lead were only detected in fluid after EC use, indicating they came from heated atomizers. Elements transferred most efficiently to aerosols made with second-/third-generation ECs. Of the elements in fluid, selenium and arsenic were the most cytotoxic to human bronchial epithelial cells (BEAS-2B) and pulmonary fibroblasts in the 3-(4,5-dimethylthiazolyl-2)-2,5-diphenyltetrazolium bromide assay.