Medical Cannabis Received by Patients According to Qualifying Condition in a US State Cannabis Program: Product Choice, Dosing, and Age-Related Trends.

Background: Little is known about the distribution of cannabidiol (CBD) and Δ9-tetrahydrocannabinol (THC) to patients participating in state medical cannabis programs. The Minnesota cannabis program requires third-party testing of products with limited formulations of cannabis for distribution to patients. Objective: To characterize the distribution of cannabis products, their CBD/THC content, and dosing among patients with qualifying conditions. Methods: This is a retrospective analysis of ∼50% of registered users receiving medical cannabis in Minnesota (June 16, 2016, to November 15, 2019). Data included formulation, CBD/THC prescribed doses, and qualifying conditions. The primary end points were calculated using daily dose and duration of use. Comparisons were made for CBD and THC total daily dose dispensed, patient age, and approved product. Nonparametric statistical tests were used (significance was set at p < 0.05). Results: A total of 11,520 patients were listed with 1 qualifying condition. The most common condition was intractable pain (60.0%). Median dispensation duration varied from 53 days (cancer) to 322 days (muscle spasms). Most (≥62.8%) patients across all qualifying conditions received both CBD and THC. Median THC dose was lower in older (≥65 years) compared with younger adults with intractable pain (p < 0.0001) and cancer patients (p = 0.0152), and the same pattern was found CBD dose with seizure (p = 0.0498) patients. For commercial products with Food and Drug Administration indications, the median CBD total daily dose was 86.9% lower than the recommended doses for patients with seizures (Epidiolex: Jazz Pharmaceuticals, Palo Alto CA) and median THC total daily dose was 65.3% (Syndros: Benuvia Manufacturing, Round Rock, TX) or 79.3% lower (Marinol: Banner Pharmacaps, Inc., High Point, NC) for cancer patients. Conclusions: A majority of patients received products containing both CBD and THC. Dosages varied by age group and were lower than recommended for conditions with Food and Drug Administration-approved products. Complex pharmacokinetics of THC and CBD, possible age-related changes in physiology, unknown efficacy, and potential for drug interactions all increase the need for monitoring of patients receiving cannabis products. (Curr Ther Res Clin Exp. 2023; 84:XXX-XXX).

Non-Conventional Features of Plant Oil-Based Acrylic Monomers in Emulsion Polymerization.

In recent years, polymer chemistry has experienced an intensive development of a new field regarding the synthesis of aliphatic and aromatic biobased monomers obtained from renewable plant sources. A one-step process for the synthesis of new vinyl monomers by the reaction of direct transesterification of plant oil triglycerides with N-(hydroxyethyl)acrylamide has been recently invented to yield plant oil-based monomers (POBMs). The features of the POBM chemical structure, containing both a polar (hydrophilic) fragment capable of electrostatic interactions, and hydrophobic acyl fatty acid moieties (C15-C17) capable of van der Waals interactions, ensures the participation of the POBMs fragments of polymers in intermolecular interactions before and during polymerization. The use of the POBMs with different unsaturations in copolymerization reactions with conventional vinyl monomers allows for obtaining copolymers with enhanced hydrophobicity, provides a mechanism of internal plasticization and control of crosslinking degree. Synthesized latexes and latex polymers are promising candidates for the formation of hydrophobic polymer coatings with controlled physical and mechanical properties through the targeted control of the content of different POBM units with different degrees of unsaturation in the latex polymers.

Changes detected in the genome sequences of Escherichia coli, Listeria monocytogenes, Vibrio parahaemolyticus, and Salmonella enterica after serial subculturing.

Whole genome sequencing (WGS) is rapidly replacing other molecular techniques for identifying and subtyping bacterial isolates. The resolution or discrimination offered by WGS is significantly higher than that offered by other molecular techniques, and WGS readily allows infrequent differences that occur between 2 closely related strains to be found. In this investigation, WGS was used to identify the changes that occurred in the genomes of 13 strains of bacterial foodborne pathogens after 100 serial subcultures. Pure cultures of Shiga-toxin-producing Escherichia coli, Salmonella enterica, Listeria monocytogenes, and Vibrio parahaemolyticus were subcultured daily for 100 successive days. The 1st and 100th subcultures were whole-genome sequenced using short-read sequencing. Single nucleotide polymorphisms (SNPs) were identified between the 1st and final culture using 2 different approaches, and multilocus sequence typing of the whole genome was also performed to detect any changes at the allelic level. The number of observed genomic changes varied by strain, species, and the SNP caller used. This study provides insight into the genomic variation that can be detected using next-generation sequencing and analysis methods after repeated subculturing of 4 important bacterial pathogens.

Assessment of statistical methods used in library-based approaches to microbial source tracking.

Several commonly used statistical methods for fingerprint identification in microbial source tracking (MST) were examined to assess the effectiveness of pattern-matching algorithms to correctly identify sources. Although numerous statistical methods have been employed for source identification, no widespread consensus exists as to which is most appropriate. A large-scale comparison of several MST methods, using identical fecal sources, presented a unique opportunity to assess the utility of several popular statistical methods. These included discriminant analysis, nearest neighbour analysis, maximum similarity and average similarity, along with several measures of distance or similarity. Threshold criteria for excluding uncertain or poorly matched isolates from final analysis were also examined for their ability to reduce false positives and increase prediction success. Six independent libraries used in the study were constructed from indicator bacteria isolated from fecal materials of humans, seagulls, cows and dogs. Three of these libraries were constructed using the rep-PCR technique and three relied on antibiotic resistance analysis (ARA). Five of the libraries were constructed using Escherichia coli and one using Enterococcus spp. (ARA). Overall, the outcome of this study suggests a high degree of variability across statistical methods. Despite large differences in correct classification rates among the statistical methods, no single statistical approach emerged as superior. Thresholds failed to consistently increase rates of correct classification and improvement was often associated with substantial effective sample size reduction. Recommendations are provided to aid in selecting appropriate analyses for these types of data.