Assessing acute nicotine impact on choroidal thickness: a randomized, double-blinded study comparing smoking cessation aids, including nicotine gum and electronic cigarettes.

PURPOSE: To explore whether differences in choroidal thickness arise from nicotine consumption in healthy young individuals, specifically comparing the effects of nicotine gum to electronic cigarette (vaping), while maintaining a consistent 4 mg nicotine dosage. METHODS: In a randomized double-blinded prospective cross-sectional study, 20 healthy participants (mean age ± standard deviation: 23 ± 2.36 years) were randomly assigned to either the nicotine gum or vaping group. Choroidal thickness (ChT) measurements were conducted using optical coherence tomography (OCT) (Topcon 3D OCT-1 Maestro System) at baseline, 30, and 60 min after ingesting 4 mg of nicotine, with ChT measurements taken from five different horizontal areas. RESULTS: Neither the nicotine delivery method (gum or vaping) demonstrated a statistically significant impact on ChT mean scores among subjects in the five measured areas at baseline, 30, and 60 min (p > 0.05). However, significant differences were observed in ChT mean scores within subjects across the five areas (F (1.83, 72) = 36.43, p < 0.001), regardless of other study factors such as group, time, and visit (p > 0.05). A statistically significant interaction was identified between the factors of area and time concerning participants' ChT mean scores when stratified by the type of smoking (tobacco, vaping, and dual) (p = 0.003). CONCLUSION: The results of this study revealed that nicotine, up to particular concentration of 4 mg, does not have a statistically significant vasoconstrictive effect on choroidal thickness, regardless of the delivery method, within the examined group. These findings offer valuable insights into the relationship between nicotine intake and choroidal dynamics in young adults.

Knowledge, attitude, and beliefs toward group behavior therapy programs among male adults attending smoking cessation clinics, cross-sectional analysis.

BACKGROUND: Group therapy assists individuals in learning many behavioral techniques for smoking cessation and providing each other with mutual support. Group behavior therapy is not routinely provided as a modality of tobacco cessation assistance in tobacco cessation clinics in Saudi Arabia despite it is effectiveness. Therefore, this study aimed to assess the knowledge, attitude, and beliefs toward group behavior therapy programs among male adults who attend smoking cessation clinics and to identify the associated factors. METHODS: A cross-sectional study was conducted with a targeted sample of 229 males aged 18 and above who were attending smoking cessation clinics. The participants were randomly selected. Data were collected using a paper-based questionnaire. One-way ANOVA and chi-square test were used for statistical analysis. RESULTS: Results showed a high percentage of the study participants were in the age group of 21-40 years. Most of them were consuming 10-20 cigarettes per day. Around 79% of the participants had previous attempted to quit smoking. This study demonstrated a deficit in knowledge about group behavior therapy. The mean score for attitude and beliefs was 5.3 out of 11. Multiple factors influenced their attitudes and beliefs, such as previous attempts to quit smoking (p-value < 0.05) and the number of cigarettes used per day (p-value = 0.03). The knowledge was found to be affected by the level of education (p-value = 0.04). CONCLUSION: The study demonstrates a deficit in knowledge about group behavior therapy and it shows that the level of education was associated with the knowledge. Additionally, previous attempts to quit smoking and the number of cigarettes used per day, influenced the participants' attitude and beliefs toward group behavioral therapy. Increase awareness about the role of group behavior therapy in smoking cessation is required before this method is implemented in the routine practice.

Quantitative Assessment of Dietary (Poly)phenol Intake: A High-Throughput Targeted Metabolomics Method for Blood and Urine Samples.

Many studies have associated the consumption of (poly)phenol-rich diets with health benefits. However, accurate high-throughput quantitative methods for estimating exposure covering a broad spectrum of (poly)phenols are lacking. We have developed and validated a high-throughput method for the simultaneous quantification of 119 (poly)phenol metabolites in plasma and urine using ultra high-performance liquid chromatography coupled with triple quadrupole mass spectrometry, with a very fast sample treatment and a single run time of 16 min. This method is highly sensitive, precise, accurate, and shows good linearity for all compounds (R2 > 0.992). This novel method will allow a quantitative assessment of habitual (poly)phenol intake in large epidemiological studies as well as clinical studies investigating the health benefits of dietary (poly)phenols.

Comparative dietary sulfated metabolome analysis reveals unknown metabolic interactions of the gut microbiome and the human host.

The gut microbiome converts dietary compounds that are absorbed in the gastrointestinal tract and further metabolized by the human host. Sulfated metabolites are a major compound class derived from this co-metabolism and have been linked to disease development. In the present multidisciplinary study, we have investigated human urine samples from a dietary intervention study with 22 individuals collected before and after consumption of a polyphenol rich breakfast. These samples were analyzed utilizing our method combining enzymatic metabolite hydrolysis using an arylsulfatase and mass spectrometric metabolomics. Key to this study is the validation of 235 structurally diverse sulfated metabolites. We have identified 48 significantly upregulated metabolites upon dietary intervention including 11 previously unknown sulfated metabolites for this diet. We observed a large variation in subjects based on their potential to sulfate metabolites, which may be the foundation for classification of subjects as high and low sulfate metabolizers in future large cohort studies. The reported sulfatase-based method is a robust tool for the discovery of unknown microbiota-derived metabolites in human samples.