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Within the healthcare system, identification and intervention for intimate partner violence (IPV) are critical, yet often hindered by siloed operations among healthcare workers. Effective interprofessional collaboration is pivotal for timely and appropriate interventions. This article describes an interprofessional educational simulation involving nursing and social work students. Pairs engaged in risk assessment and safety planning for IPV. In the pilot run with 140 nursing and 137 social work students, post-simulation results increased confidence (t = 5.25, p = 0.001) and positive evaluation of IPV knowledge (t = 63.22, p = 0.001). Focus groups underscored team synergy, communication skills, and prior experiences as critical elements. Future projects should expand simulation scopes to address diverse situations and include additional professions interacting with survivors.

Purpose: This paper aims to examine the roles of quality managers at community colleges, their experiences balancing accountability and improvement and their insights into the future of quality assurance. Design/methodology/approach: This phenomenological, qualitative study used semi-structured interviews with eight community college quality managers to investigate their roles, experiences and perspectives. A reflexive thematic approach was used to analyze the interview data. Findings: Four themes were identified from participant responses: quality managers frame and enable program quality, quality managers drive program change, quality managers cultivate a culture of quality and quality managers seek system change. The findings illustrate the roles played by quality managers as they work to improve college education at program, institution and system-wide levels. Research limitations/implications: The decision of participants to accept the recruitment invitation might reflect particular attitudes, perspectives or experiences. Practical implications: Quality assurance has emerged as a key mechanism for ensuring postsecondary programs are current, relevant and meeting the evolving needs of students and employers. This study advances the understanding of how quality assurance processes play out at the operational level and explores the experiences of quality managers as they navigate various quality tensions. Originality/value: Quality managers play key roles in leading, evaluating and influencing quality assurance processes in postsecondary education yet they are underrepresented in the literature. The findings of this study shed new light on the aspirational and influential roles they play in advancing quality assurance.

Introduction: Learning the anatomy of the inguinal canal is challenging for medical students and residents. Current teaching via didactic lectures may not suffice for optimal learning, and visualization of the complicated 3D-structure of the inguinal canal. Hence, we investigated the efficacy of a low-fidelity model creation to improve the teaching. Materials and methods: 30 pre-clinical students were split into three groups and assigned different teaching interventions: 1) Lecture (Group L), 2) Lecture with individual model creation (Group M1), and 3) Lecture with group model creation (Group M2). Gain in knowledge were assessed through a pre- and post-intervention multiple-choice quizzes (MCQs), while perceptions of confidence/engagement/model efficacy were measured using post-intervention questionnaires. Results: For knowledge acquisition, average MCQ scores improved most for Group L (23 ± 1%), followed by M1 (19 ± 1%) and M2 (13 ± 1%). In learning the inguinal canal, perceived confidence was enhanced by modelling compared to lecture only (p 0.05). There was also no difference between M1 and M2 (p > 0.05). Conclusion: As a supplement to didactic teaching of the inguinal canal, model creation was well-received, and provided opportunities for experiential learning. However, the usefulness of modelling in learning the anatomy and pathologies of inguinal canal was insignificant. Our research design was inadequate in showing long term gain. Additionally, results from group model creation could be affected by the dynamics amongst members. Future work should aim to address these issues.

Abstract BackgroundNumerous studies have assessed the risk of SARS-CoV-2 exposure and infection among health care workers during the pandemic. However, far fewer studies have investigated the impact of SARS-CoV-2 on essential workers in other sectors. Moreover, guidance for maintaining a safely operating workplace in sectors outside of health care remains limited. Workplace surveillance has been recommended by the Centers for Disease Control and Prevention, but few studies have examined the feasibility or effectiveness of this approach. ObjectiveThe objective of this study was to investigate the feasibility and effectiveness of using frequent point-of-care molecular workplace surveillance as an intervention strategy to prevent the spread of SARS-CoV-2 at essential rural workplaces (mining sites) where physical distancing, remote work, and flexible schedules are not possible. MethodsIn this nonrandomized controlled clinical trial conducted from February 2021, to March 2022, 169 miners in New Mexico (intervention cohort) and 61 miners in Wyoming (control cohort) were enrolled. Investigators performed point-of-care rapid antigen testing on midnasal swabs (NSs) self-collected by intervention miners. Our first outcome was the intervention acceptance rate in the intervention cohort. Our second outcome was the rate of cumulative postbaseline seropositivity to SARS-CoV-2 nucleocapsid protein, which was analyzed in the intervention cohort and compared to the control cohort between baseline and 12 months. The diagnostic accuracy of detecting SARS-CoV-2 using rapid antigen testing on NSs was compared to laboratory-based reverse transcriptase polymerase chain reaction (RT-PCR) on nasopharyngeal swabs (NPSs) in a subset of 68 samples. ResultsOur intervention had a mean acceptance rate of 96.4% (11,413/11,842). The intervention miners exhibited a lower cumulative postbaseline incident seropositivity at 12 months compared to control miners (14/97, 14% vs 17/45, 38%; P ConclusionsOur findings establish frequent point-of-care molecular workplace COVID-19 surveillance as a feasible option for keeping essential rural workplaces open and preventing SARS-CoV-2 spread. These findings extend beyond this study, providing valuable insights for designing interventions to maintain employees’ safety at other essential workplaces during an infectious disease outbreak.

Proteotoxic stress progressively leads to irreversible cardiac abnormalities. Using a mouse model of reductive stress-induced proteotoxic cardiomyopathy, we identified novel microRNA signatures, termed “ProteotoxomiRs,” which reflect stage-specific and transgene-specific responses to proteotoxic stress. Seven microRNAs were uniquely linked to the human mutant R120G-αB-Crystallin transgene, indicating their direct association with the pathogenic protein. Additionally, we uncovered two distinct microRNA profiles associated with the early (pre-onset) and late (cardiomyopathy/heart failure) stages of disease progression. Early-stage signatures primarily modulate signaling pathways essential for cardiac health, including mTOR and MAPK, while late-stage signatures reveal regulatory disruptions in calcium signaling and autophagy insufficiency, driving irreversible cardiac damage caused by reductive stress (RS) and proteotoxicity in transgenic mice. These findings reveal stage-specific miRNA biomarkers with potential diagnostic and prognostic value, offering new insights into the molecular underpinnings of proteotoxic cardiac disease. Moreover, our miRNA-mRNA interaction analysis uncovered potential targets unique to the transgene-specific, early, and late stages of the disease, including several promising druggable candidates, warranting further validation for translational applications.

Background: Cigarettes and electronic cigarettes generate many redox-active materials which could impact children's health through second-hand exposures. High-resolution metabolomics methods enable use of non-targeted mass spectrometry of plasma to test for redox consequences of second-hand exposures. Objectives: Our objectives were to test for oxidative stress metabolites and altered metabolic pathways associated with second-hand exposure to redox-active flavorants and flavorant metabolites in plasma of infants and children. Methods: Untargeted plasma metabolomics data for infants and children in a population known to include individuals with second-hand exposures to cigarettes and electronic cigarettes were analyzed for cotinine and metabolites of flavorants. A metabolome-wide association study (MWAS) was performed separately for cotinine and menthol glucuronide, derived from the redox-active flavorant, menthol. Pathway enrichment analysis was used to identify metabolic pathways, and xMWAS was used to detect metabolic communities associated with flavorant metabolites. Results: Menthol glucuronide was one of several flavorant metabolites positively correlated with cotinine. MWAS and pathway enrichment analysis revealed that some pathways associated with both menthol glucuronide and cotinine, while others only associated with menthol glucuronide, including sphingolipid, glycerophospholipid, antioxidant, N-glycan and mitochondrial energy metabolism. 4-hydroxynonenal and other oxidized lipids positively correlated with menthol glucuronide. Discussion: The results show that flavorants from second-hand electronic cigarette and cigarette exposures in infants and children are associated with changes in redox metabolism which are known to associate with human lung diseases.

High-performance liquid chromatography (HPLC) is an invaluable technique that has been used for many decades for the separation of various molecules. The reproducible collection of eluates from these systems has been significantly improved via its automation by fraction collection systems. Current commercially available fraction collectors are not easily customizable, incompatible with other platforms, and come with a large cost barrier making them inaccessible to many researchers. Here we present the efficient construction of a low-cost customizable fraction collector that can easily be paired to any HPLC system. Notably, it supports significantly larger volumes for collection than commercial alternatives. Using a hobbyist-grade three-dimensional (3D) printer (Creality Ender 3 Pro) and aluminum extrusions, the fraction collector can be built for less than $280 USD. An additional graphical user interface (GUI) enables simple programming of the collection methods, requiring no coding experience to operate the collector. The presented fraction collector can be highly customized and use collection vessels as large as 470 mL (80x), facilitating repeated collection at a preparatory scale. The use of this platform will increase the reproducibility of scalable and iterative fraction collection methods while removing the cost barrier and allowing for a high degree of customizability.

Abstract Interstitial lung diseases (ILDs) include a variety of inflammatory and fibrotic pulmonary conditions. This study employs high‐resolution metabolomics (HRM) to explore plasma metabolites and pathways across ILD phenotypes, including non‐fibrotic ILD, idiopathic pulmonary fibrosis (IPF), and non‐IPF fibrotic ILD. The study used 80 plasma samples for HRM, and involved linear trend and group‐wise analyses of metabolites altered in ILD phenotypes. We utilized limma one‐way ANOVA and mummichog algorithms to identify differences in metabolites and pathways across ILD groups. Then, we focused on metabolites within critical pathways, indicated by high pathway overlap sizes and low p‐values, for further analysis. Targeted HRM identified putrescine, hydroxyproline, prolyl‐hydroxyproline, aspartate, and glutamate with significant linear increases in more fibrotic ILD phenotypes, suggesting their role in ILD fibrogenesis. Untargeted HRM highlighted pathway alterations in lysine, vitamin D3, tyrosine, and urea cycle metabolism, all associated with pulmonary fibrosis. In addition, methylparaben level had a significantly increasing linear trend and was higher in the IPF than fibrotic and non‐ILD groups. This study highlights the importance of specific amino acids, metabolic pathways, and xenobiotics in the progression of pulmonary fibrosis.

Human trafficking is an ongoing, global human rights crisis and one of the largest illicit industries worldwide. Although there are thousands of victims identified each year within the United States, the true extent of this problem remains unknown due to the paucity of data. Many victims seek care in the emergency department (ED) while being trafficked but are often not identified by clinicians due to lack of knowledge or misconceptions about trafficking. We present a case of an ED patient being trafficked in Appalachia as an educational stimulus and discuss several unique aspects of trafficking in rural communities, including lack of awareness, prevalence of familial trafficking, high rates of poverty and substance use, cultural differences, and a complex highway network system. The lack of data, appropriate resources, and training for healthcare professionals also poses distinct issues. We propose an approach to identify and treat victims of human trafficking in the ED, with a focus on rural EDs. This approach includes improving data collection and availability on local patterns of trafficking, improving clinician training in identification, and care of victims using trauma-informed techniques. While this case illustrates unique features of human trafficking in the Appalachian region, many of these themes are common to rural areas across the US. Our recommendations emphasize strategies to adapt evidence-based protocols, largely designed in and for urban EDs, to rural settings where clinicians may be less familiar with human trafficking.

Within clinical, biomedical, and translational science, an increasing number of projects are adopting graphs for knowledge representation. Graph-based data models elucidate the interconnectedness among core biomedical concepts, enable data structures to be easily updated, and support intuitive queries, visualizations, and inference algorithms. However, knowledge discovery across these "knowledge graphs" (KGs) has remained difficult. Data set heterogeneity and complexity; the proliferation of ad hoc data formats; poor compliance with guidelines on findability, accessibility, interoperability, and reusability; and, in particular, the lack of a universally accepted, open-access model for standardization across biomedical KGs has left the task of reconciling data sources to downstream consumers. Biolink Model is an open-source data model that can be used to formalize the relationships between data structures in translational science. It incorporates object-oriented classification and graph-oriented features. The core of the model is a set of hierarchical, interconnected classes (or categories) and relationships between them (or predicates) representing biomedical entities such as gene, disease, chemical, anatomic structure, and phenotype. The model provides class and edge attributes and associations that guide how entities should relate to one another. Here, we highlight the need for a standardized data model for KGs, describe Biolink Model, and compare it with other models. We demonstrate the utility of Biolink Model in various initiatives, including the Biomedical Data Translator Consortium and the Monarch Initiative, and show how it has supported easier integration and interoperability of biomedical KGs, bringing together knowledge from multiple sources and helping to realize the goals of translational science.

Objective: Athletic involvement is linked to increased risk for heavy alcohol use among college students. We examined whether student-athletes from diverse racial/ethnic backgrounds differ with respect to heavy drinking and related consequences. Method: Participants were 15,135 student-athlete drinkers (50.7% female) from 170 NCAA member institutions who participated in an online study. Results: Findings from our hierarchical linear models indicated that being a male student-athlete was associated with an increased likelihood of high intensity drinking (10/8 + drinks/per sitting for males/females) for White, Asian American/Pacific Islander, and Black student-athletes, but not for Hispanic student-athletes. Additionally, being a female student-athlete was associated with higher levels of negative alcohol-related consequences across all racial/ethnic groups. Finally, at similar drink quantities, compared to being a White student-athlete, being an Asian American/Pacific Islander student-athlete was associated with higher levels of alcohol-related consequences. Conclusions: Student-athlete drinkers are not homogeneous with respect to heavy drinking and related consequences.

Abstract This report identifies, for the first time, a phytochelatin compound, phytochelatin 2 [γ‐E‐C‐γ‐E‐C‐G], and related metabolites in human urine. Phytochelatins are metal‐binding peptides produced by plants. They are present in nearly all human diets, due to their ubiquity in plants. The urinary concentration of phytochelatin 2 among 143 adults was in the low micromolar range, and phytochelatin 2 and its metabolites had differential correlations with urinary selenium and toxic metals. Activities of ingested phytochelatins are largely undescribed. Observed urinary metal interactions were investigated further in cell and animal models. Selenite reacted with phytochelatin to form a phytochelatin selenotrisulfide, and the preformed selenotrisulfide showed increased selenium uptake by renal proximal tubule cells. In vivo studies further showed that oral phytochelatin increased renal selenium content and decreased lung cadmium in mice. Presence of phytochelatin in human urine combined with its function in selenium and heavy metal distribution present a new route by which diet may influence metal disposition and bioavailability.