Cannabis Use and Sinonasal Symptoms in US Adults

IMPORTANCE: Cannabis is the most commonly used illicit substance in the US and worldwide. Understanding the association between cannabis use and sinonasal symptoms may help clinicians and patients better understand the symptomatology associated with cannabis use. OBJECTIVE: To assess the association between frequency of cannabis use and presence of sinonasal symptoms in a nationally representative sample of US adults. DESIGN, SETTING, AND PARTICIPANTS: This population-based, retrospective cross-sectional study included adults aged 20 to 69 years who had completed data on sinonasal symptoms and substance use for the 2013 to 2014 National Health and Nutrition Examination Survey. The data were analyzed in February 2022. EXPOSURES: Cannabis use frequency. MAIN OUTCOMES AND MEASURES: Presence of sinonasal symptoms, demographic information, and medical history were obtained from National Health and Nutrition Examination Survey questionnaires. Presence of any sinonasal symptoms was defined as responding yes to any of a series of questions assessing rhinologic symptoms. Regular cannabis users were defined as using cannabis 15 or more times within the last 30 days. Nonregular users were defined as using cannabis fewer than 15 times within the last 30 days. Multivariable models were used to examine the association between frequency of cannabis use and presence of sinonasal symptoms while adjusting for demographic characteristics and medical comorbidities. RESULTS: The study included 2269 adults with a mean (SD) age of 36.5 (12.4) years (1207 women [53.2%]; 330 Asian [14.5%], 739 Black [32.6%], 461 Hispanic [20.3%], and 656 White [28.9%] individuals). The prevalence of sinonasal symptoms among regular cannabis users (45.0%; 95% Cl, 38.9%-51.1%) was lower than the prevalence among never users (64.5%; 95% Cl, 58.3%-68.8%). Compared with adults who had never used cannabis, regular cannabis users were less likely to have sinonasal symptoms (odds ratio, 0.22, 95% CI, 0.10-0.50). Current tobacco smokers were more likely to have sinonasal symptoms (odds ratio, 1.96; 95% CI, 1.17-3.28). The most common sinonasal symptoms reported were nasal congestion (62.8%; 95% Cl, 60.2%-65.4%) and change in smell (17.8%; 95% Cl, 15.2%-20.9%). CONCLUSIONS AND RELEVANCE: This cross-sectional study found that the prevalence of sinonasal symptoms was lower among regular cannabis users. Further research is needed to elucidate the mechanisms underlying the association between cannabis use and sinonasal symptoms

Head and Neck Cancer Online Support Groups: Disparities in Participation and Impact on Patients

OBJECTIVE: To characterize the users of the head and neck cancer (HNC) online support group (OSG) and describe the perceived benefits of membership. STUDY DESIGN: Cross-sectional. SETTING: Online. METHODS: An administered survey with questions asking about demographics, cancer history, treatment choices, and feelings about OSGs was posted on the 5 largest HNC OSGs on Facebook. RESULTS: A total of 97 participants completed the survey. Mean age was 57.8 years old (standard deviation = 10.7 years). Most participants were female (50.5%) and Caucasian (92.8%). This cohort was well educated with 65.5% holding at least a college degree. Annual income was high with 41.8% reporting annual income of $100,000 or greater. The most common treatment modality was radiation (88.7%). The most common surgery was neck dissection (46.4%). Most participants preferred OSGs (70.8%) over other support group types. OSGs were heavily utilized with our cohort reporting using the OSG at least several times a week (80.0%). The top reasons for joining the OSG were sharing one\u27s experience of HNC (76.3%) and gaining support from others with HNC (85.6%). OSGs were ranked as the #3 source of medical information for HNC behind otolaryngologists and oncologists. Membership in a HNC OSG had a minimal impact on decision-making. CONCLUSION: HNC OSGs appear to provide a beneficial community for HNC patients. Otolaryngologists should consider incorporating HNC OSG as a possible supplemental resource for their HNC patients

Evaluation of the Quality of Thyroidectomy-Related Posts on a Video-Based Social Media Platform

OBJECTIVE: To evaluate the quality of thyroidectomy-related posts on TikTok, the fastest-growing social media platform worldwide. METHODS: Videos posted from April 2020 to September 2022 were queried on TikTok using the search terms thyroidsurgery, thyroidectomy, and thyroidremoval. Two reviewers recorded thematic, demographic, and performance data of these posts. The DISCERN instrument was used to evaluate the quality and reliability of the information contained in the videos. Descriptive statistics were used to characterize post-submitter demographics and video content. Simple and multiple linear regression analyses were used to evaluate the association between DISCERN scores and video characteristics. Univariate analysis of variance was performed to compare DISCERN scores between author types. RESULTS: In this study, 228 TikTok videos were included which totaled over 23 million views. On average, each video accumulated more than 6000 likes, 300 comments, and 70 shares. The average total DISCERN score was 27.46, which is deemed to be of poor overall quality. Upon multiple linear regression, video duration ( CONCLUSION: Social media posts on TikTok about thyroidectomy are mostly of poor quality and reliability but vary by authorship, subject type, and video characteristics. Given its widespread popularity, TikTok videos may have an increasing role in shaping patient perception of thyroidectomy and may represent an opportunity to provide education. LAY SUMMARY: TikTok posts about thyroidectomy are mostly of poor quality but vary by authorship, subject, and video characteristics. Given its popularity, TikTok videos may have a role in shaping the patient perception of thyroidectomy and may represent an opportunity to provide education. LEVEL OF EVIDENCE: Level 4

Orbit Determination Toolbox

The Orbit Determination Toolbox is an orbit determination (OD) analysis tool based on MATLAB and Java that provides a flexible way to do early mission analysis. The toolbox is primarily intended for advanced mission analysis such as might be performed in concept exploration, proposal, early design phase, or rapid design center environments. The emphasis is on flexibility, but it has enough fidelity to produce credible results. Insight into all flight dynamics source code is provided. MATLAB is the primary user interface and is used for piecing together measurement and dynamic models. The Java Astrodynamics Toolbox is used as an engine for things that might be slow or inefficient in MATLAB, such as high-fidelity trajectory propagation, lunar and planetary ephemeris look-ups, precession, nutation, polar motion calculations, ephemeris file parsing, and the like. The primary analysis functions are sequential filter/smoother and batch least-squares commands that incorporate Monte-Carlo data simulation, linear covariance analysis, measurement processing, and plotting capabilities at the generic level. These functions have a user interface that is based on that of the MATLAB ODE suite. To perform a specific analysis, users write MATLAB functions that implement truth and design system models. The user provides his or her models as inputs to the filter commands. The software provides a capability to publish and subscribe to a software bus that is compliant with the NASA Goddard Mission Services Evolution Center (GMSEC) standards, to exchange data with other flight dynamics tools to simplify the flight dynamics design cycle. Using the publish and subscribe approach allows for analysts in a rapid design center environment to seamlessly incorporate changes in spacecraft and mission design into navigation analysis and vice versa

Patient-reported assessment of functional gait outcomes following superior gluteal artery perforator reconstruction

PMCID: PMC4174196BACKGROUND: Harvesting the superior gluteal artery perforator (SGAP) flap involves dissection of vessels through the gluteal muscle, potentially compromising gait and ambulation. We compared patient-reported gait and ambulation problems between SGAP flap and deep inferior epigastric perforator (DIEP) flap reconstructions. METHODS: Forty-three patients who underwent bilateral free flap breast reconstruction (17 SGAP, 26 DIEP) participated in the study. The Lower Extremity Functional Score (LEFS) was administered with a supplementary section evaluating gait, balance, fatigue, and pain. Patients evaluated how they felt 2 months postoperatively and at time of survey administration. Multivariate regressions were fit to assess association between type of reconstruction and self-reported lower extremity function controlling for potential confounding factors. RESULTS: Although there was no significant difference in overall LEFS between the cohorts on the date of survey, the SGAP patients reported greater difficulty performing the following activities after surgery (P < 0.05): work, usual hobbies, squatting, walking a mile, walking up stairs, sitting for an hour, running, turning, and hopping. The SGAP patients also reported easier fatigue (P < 0.01) both during the early postoperative period and on the date of survey. CONCLUSIONS: SGAP flap surgery causes no statistically significant differences in overall LEFS. However, SGAP patients did report donor-site morbidity with decreased ability to perform certain activities and increased fatigue and pain in the longer follow-up period. We feel that patients should be educated regarding gait issues and undergo physical therapy during the early postoperative period.JH Libraries Open Access Fun

The final piece of the Triangle of U: Evolution of the tetraploid Brassica carinata genome

Background: Brassica carinata (Ethiopian mustard) is an ancient crop from the Ethiopian highlands with remarkable heat and drought tolerance that has potential as a sustainable oil source for biofuel production. The resilience of this species might be due to hybrid vigor, as B. carinata is a species derived from a hybridization between Brassica nigra (black mustard) and Brassica oleracea (kale, broccoli, etc.). Thus, the B. carinata genome is allotetraploid with two parental genomes, or subgenomes, merged in one nucleus. We present a high-quality, chromosome-scale reference assembly of the B. carinata genome, which is the last of six genomes comprising the classic Triangle of U model used to study hybridization and polyploid evolution. Question: Here, we compare B. carinata to the other Triangle of U genomes for insight into the remarkable heat and drought tolerance of this crop. We investigate the evolutionary trajectory of the B. carinata genome as it returns to the diploid state to elucidate the mechanisms that act on duplicated genes, such as functional divergence of gene families and the biased fractionation of one subgenome. Findings: The B. carinata genome is the largest among the Triangle of U with notable expansions in repetitive DNA sequences and gene families related to transcriptional regulation and stress tolerance. We characterized patterns of subgenome bias, finding that the subgenome derived from B. nigra is likely dominant over the subgenome from B. oleracea. Furthermore, we comprehensively characterize subgenomic bias in homoeologous exchanges, or meiotic crossover between subgenomes, in the Triangle of U allotetraploids. Next steps: The presented B. carinata genome is a crucial resource for its expanded use as a biofuel feedstock and insight into polyploid evolution. Unraveling the genomic basis of the stress resilience of B. carinata provides an opportunity to introgress these traits to other cruciferous vegetables, which are used worldwide as vegetable and oil sources.Ethiopian mustard (Brassica carinata) is an ancient crop with remarkable stress resilience and a desirable seed fatty acid profile for biofuel uses. Brassica carinata is one of six Brassica species that share three major genomes from three diploid species (AA, BB, and CC) that spontaneously hybridized in a pairwise manner to form three allotetraploid species (AABB, AACC, and BBCC). Of the genomes of these species, that of B. carinata is the least understood. Here, we report a chromosome scale 1.31-Gbp genome assembly with 156.9-fold sequencing coverage for B. carinata, completing the reference genomes comprising the classic Triangle of U, a classical theory of the evolutionary relationships among these six species. Our assembly provides insights into the hybridization event that led to the current B. carinata genome and the genomic features that gave rise to the superior agronomic traits of B. carinata. Notably, we identified an expansion of transcription factor networks and agronomically important gene families. Completion of the Triangle of U comparative genomics platform has allowed us to examine the dynamics of polyploid evolution and the role of subgenome dominance in the domestication and continuing agronomic improvement of B. carinata and other Brassica species.We gratefully acknowledge the support of the Nevada Agricultural Experiment Station (Grant No. NEV00384) and VPRI research funding (University of Nevada, Reno).The Pires lab is funded by the National Science Foundation (NSF IOS 1339156) and the Department of Energy Defense Threat Reduction Agency (HDTRA 1-16-1-0048). The Edger lab is funded by the National Science Foundation (NSF IOS 2029959). The Mason lab is partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy (EXC 2070 - 390732324). The Alvarez-Ponce lab is funded by the National Science Foundation (NSF MCB 1818288)

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Background: A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results: We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions: The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent. Keywords: Protein function prediction, Disease gene prioritizationpublishedVersio

An Expanded Evaluation of Protein Function Prediction Methods Shows an Improvement In Accuracy

Background: A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results: We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions: The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent