Castillo Hassing (tilelizard4)

Anticoagulants are the main drugs for the prevention and treatment of thromboembolism. However, most of the present anticoagulants have shortcomings and novel anticoagulants are in great demand. Marine microorganisms are an important source of new drugs. Therefore, in this study, ultrasound was applied to enhance anticoagulant accumulation by marine Bacillus subtilis ZHX. Ultrasound parameters were optimized by single-factor experiments exploring the effects of ultrasound power, duration, duty cycle and the cell growth phases. The optimum conditions were exponential prophase (5 h) with 25 kHz frequency, 140 W power, and a 40% duty cycle for 5 min. The maximum anticoagulant activity (55.36 U/mL) was 1.73 times that of the control group, and the fermentation time was shortened by 3 h. Under optimal conditions, ultrasound increased the carbon utilization by Bacillus subtilis ZHX without significant changes in morphology, favoring cell growth and anticoagulant production. However, excessive ultrasound caused intracellular damage, which inhibited biomass accumulation, decreasing anticoagulant activity and even leading to cell rupture. This is the first report on the use of ultrasound to enhance anticoagulant production by Bacillus, and it provides useful information for scaling-up the process. BACKGROUND Historically, cannabis researchers have assumed a single mode and product of cannabis (e.g., smoking plant). However, patterns of use, products (e.g., concentrates, edibles), and modes (e.g. M3814 blunts, vaporizers) are diversifying. This study sought to 1) classify cannabis users into groups based on their use of the full range of cannabis products, and 2) examine user group differences on demographics, cannabis consequences and cannabis use disorder (CUD) symptomatology. METHODS In a sample of college students (data collected in Fall 2017), who used cannabis in the past year (N = 1390), latent class analysis (LCA) was used to characterize cannabis users. We then added demographic characteristics, cannabis consequences, and CUD symptomatology scores separately to LCA models to examine class differences. RESULTS Five unique classes emerged high-frequency all-product users, high-frequency plant/moderate-frequency edible and concentrate users, low-frequency plant users, moderate-frequency plant and edible users, and low-frequency edible users. Demographic characteristics, cannabis consequences, and CUD symptomatology differed across classes characterized by frequency as well as product. CONCLUSIONS Results reflect the increasing variety of cannabis products, modes, and use patterns among college students. In this sample, frequency of use remains a strong predictor of cannabis-related consequences, in addition to type of product. As variation in cannabis use patterns continue to evolve, it is essential for researchers to conduct comprehensive assessments. BACKGROUND Information is limited on the prevalence of hazardous drinking and associated covariates among sexual and gender minority (SGM) persons. These analyses estimated the prevalence of hazardous drinking and identified associated covariates. METHODS A total of 1273 SGM adolescents and adults living in Texas completed an online survey between March 2016 and January 2017. Variables associated with hazardous drinking at the bivariate-level (p  less then  0.10) were entered into multiple logistic regression models to estimate the strength of their association. RESULTS More than a third (39.1%) of participants meet criteria for hazardous drinking. Compared to non-hazardous drinkers, hazardous drinkers were younger (x- = 20.7 [SD = 8.9] vs. x- = 26.5 [SD = 13.8]) and more likely to be Hispanic (41.5% vs. 26.2%). Hazardous drinkers were more likely to report using substances in past 12 months, including opioids (15.3% vs. 6.7%), stimulants (26.3% vs. 12.7%), and marijuana (37.6% vs. 21.