A comparison of heat effects on road injury frequency between active travelers and motorized transportation users in six tropical and subtropical cities in Taiwan.

Road traffic injuries (RTIs) pose significant public health threats, particularly for vulnerable road users such as pedestrians and cyclists. While recent studies have revealed adverse impacts of heat exposure on RTI frequency among motorized road users, a research gap persists in understanding these impacts on non-motorized road users, especially in tropical regions where their vulnerability can be heightened due to differential thermal exposure, adaptive capacity, and biological sensitivity. In this study, we compared associations between high temperatures and RTIs across four different crash-involved modes of transportation-pedestrians, cyclists, motorcyclists, and car drivers in Taiwan. Leveraging data on RTI records and temperature conditions in Taiwan's six municipalities from 2018 to 2022, we conducted a city-time-stratified case-crossover analysis. We employed distributed lag non-linear models with conditional Poisson regression models to estimate temperature-RTI associations for each mode of transportation, adjusting for various weather factors and unmeasured spatio-temporal patterns. Our findings reveal that individuals using exposed, open transportation modes (i.e., pedestrians, cyclists, and motorcyclists) exhibited higher relative risks of heat-induced RTIs than car drivers, with non-motorized mode users showing greater susceptibility compared to their motorized counterparts. These elevated risks can be attributed to the absence of built-in cooling systems in open travel modes and the increased exertional heat stress implied in active travel. Our study contributes novel insights to a global concern related to climate change, extending its impact to road safety, a health outcome rarely studied in the context of a changing climate. Our findings are thus important, especially for regions where rising temperatures regularly approach or exceed human physiological limits related to heat tolerance in the coming decades. Additionally, our findings hold significance in the existing urban health literature, particularly within the context of the emerging era of micromobility-a category of low-speed, non-enclosed, and lightweight vehicles increasingly integrated into urban activities worldwide.

Metal Propionate Solutions for High-Throughput Liquid-Assisted Manufacturing of Superconducting REBa2Cu3O7-δ (RE = Y, Gd, Sm, and Yb) Films.

The cost-effective synthesis of a series of metal propionate powders (copper, yttrium, barium, samarium, gadolinium, and ytterbium) is developed through single chemical reactions resulting in five novel crystalline forms. These complexes are valuable precursors for the preparation of epitaxial REBa2Cu3O7-δ (REBCO) superconducting films (here, RE = Y, Sm, Gd, and Yb) through the innovative transient liquid-assisted growth (TLAG) process based on chemical solution deposition (CSD). TLAG-CSD shows impressive results with YBa2Cu3O7-δ (YBCO), obtaining critical current densities of 2.6 MA/cm2 (77 K) on 500 nm films at unprecedented growth rates (50-2000 nm/s), boosting unprecedented high-throughput industrial production. With a cardinal concern on designing the pyrolysis toward optimal nanocrystalline films for TLAG, an analysis of the thermal behavior of the synthesized precursors is essential. Decomposition pathways for each metal propionate are established, and compatibility with TLAG-CSD is corroborated. Metal-organic solutions for these REBCO systems are successfully prepared, and their rheological properties and thermal behavior are analyzed. This work demonstrates homogeneous nanocrystalline films through propionate-based REBCO precursor solutions, including several rare-earth ions, which display exemplary chemical and microstructural characteristics crucial for TLAG, and provides a base for a wide variety of CSD-based functional oxides.

Combination of Machine Learning Techniques to Predict Overweight/Obesity in Adults.

(1) Background: Artificial intelligence using machine learning techniques may help us to predict and prevent obesity. The aim was to design an interpretable prediction algorithm for overweight/obesity risk based on a combination of different machine learning techniques. (2) Methods: 38 variables related to sociodemographic, lifestyle, and health aspects from 1179 residents in Madrid were collected and used to train predictive models. Accuracy, precision, and recall metrics were tested and compared between nine classical machine learning techniques and the predictive model based on a combination of those classical machine learning techniques. Statistical validation was performed. The shapely additive explanation technique was used to identify the variables with the greatest impact on weight gain. (3) Results: Cascade classifier model combining gradient boosting, random forest, and logistic regression models showed the best predictive results for overweight/obesity compared to all machine learning techniques tested, reaching an accuracy of 79%, precision of 84%, and recall of 89% for predictions for weight gain. Age, sex, academic level, profession, smoking habits, wine consumption, and Mediterranean diet adherence had the highest impact on predicting obesity. (4) Conclusions: A combination of machine learning techniques showed a significant improvement in accuracy to predict risk of overweight/obesity than machine learning techniques separately.

Circulating extracellular vesicles in Systemic Lupus Erythematosus: physicochemical properties and phenotype.

OBJECTIVE: This study aimed to identify the physicochemical and phenotypic characteristics of circulating Extracellular Vesicles (EVs) in the plasma of patients with SLE, with or without Lupus Nephritis (LN), and their potential utility as disease biomarkers. METHODS: Plasma-circulating EVs were concentrated using differential centrifugation from adult female patients (n=38) who met the 'American College of Rheumatology/European Alliance of Associations for Rheumatology 2019' criteria for SLE diagnosis with (LN) or without LN (nLN), confirmed by renal biopsy. Controls (n=18) were healthy volunteers matched by gender and similar age. The structure, size and Energy Dispersion Spectrum (EDS) of EVs were observed by electron microscopy. The surface charge and size distribution were evaluated using dynamic light scattering. The counts and phenotype of EVs from patients (SLE-EVs) and controls (Ctrl-EVs) were obtained using flow cytometry. Non-parametric statistical tests and exploratory analysis of multiple variables were performed. The discriminatory power of some variables as potential biomarkers of the disease was also evaluated. RESULTS: Circulating EVs were heterogeneous in morphology and size, but SLE-EVs reached larger diameters than Ctrl-EVs (p<0.0001). Small SLE-EVs and large SLE-EVs were increased compared with Ctrl-EV (p<0.0001 and p<0.05, respectively). Likewise, patients with SLE (LN or nLN) had higher concentrations of large EVs compared with controls (p<0.001 and p<0.0001, respectively). SLE-EVs showed a different EDS (p<0.001) and were less electronegative (p<0.0001) than Ctrl-EVs. EV-CD45+, EV-CD14+ and EV-IgM+ were more frequent in patients with SLE compared with controls (p<0.001, p<0.05 and p<0.001, respectively). The concentrations of large EVs and EV-IgM+ allowed better discrimination of patients from controls. CONCLUSIONS: Plasma-circulating EVs from patients with SLE with and without nephritis are increased in peripheral blood and have different physicochemical properties than controls. Characteristics of EVs such as larger size and the presence of IgM on the surface could help discriminate patients from controls.

Longitudinal multiomics analysis of aggressive pituitary neuroendocrine tumors: comparing primary and recurrent tumors from the same patient, reveals genomic stability and heterogeneous transcriptomic profiles with alterations in metabolic pathways.

Pituitary neuroendocrine tumors (PitNET) represent the vast majority of sellar masses. Some behave aggressively, growing rapidly and invading surrounding tissues, with high rates of recurrence and resistance to therapy. Our aim was to establish patterns of genomic, transcriptomic and methylomic evolution throughout time in primary and recurrent tumors from the same patient. Therefore, we performed transcriptome- and exome-sequencing and methylome microarrays of aggressive, primary, and recurrent PitNET from the same patient. Primary and recurrent tumors showed a similar exome profile, potentially indicating a stable genome over time. In contrast, the transcriptome of primary and recurrent PitNET was dissimilar. Gonadotroph, silent corticotroph, as well as metastatic corticotroph and a somatotroph PitNET expressed genes related to fatty acid biosynthesis and metabolism, phosphatidylinositol signaling, glycerophospholipid and phospholipase D signaling, respectively. Diacylglycerol kinase gamma (DGKG), a key enzyme in glycerophospholipid metabolism and phosphatidylinositol signaling pathways, was differentially expressed between primary and recurrent PitNET. These alterations did not seem to be regulated by DNA methylation, but rather by several transcription factors. Molecular docking showed that dasatinib, a small molecule tyrosine kinase inhibitor used in the treatment of chronic lymphocytic and acute lymphoblastic leukemia, could target DGKG. Dasatinib induced apoptosis and decreased proliferation in GH3 cells. Our data indicate that pituitary tumorigenesis could be driven by transcriptomically heterogeneous clones, and we describe alternative pharmacological therapies for aggressive and recurrent PitNET.

Do restoration strategies in mangroves recover microbial diversity? A case study in the Yucatan peninsula.

Mangrove forests are fundamental coastal ecosystems for the variety of services they provide, including green-house gas regulation, coastal protection and home to a great biodiversity. Mexico is the fourth country with the largest extension of mangroves of which 60% occurs in the Yucatan Peninsula. Understanding the microbial component of mangrove forests is necessary for their critical roles in biogeochemical cycles, ecosystem health, function and restoration initiatives. Here we study the relation between the microbial community from sediments and the restoration process of mangrove forests, comparing conserved, degraded and restored mangroves along the northern coast of the Yucatan peninsula. Results showed that although each sampling site had a differentiated microbial composition, the taxa belonged predominantly to Proteobacteria (13.2-23.6%), Desulfobacterota (7.6-8.3%) and Chloroflexi (9-15.7%) phyla, and these were similar between rainy and dry seasons. Conserved mangroves showed significantly higher diversity than degraded ones, and restored mangroves recovered their microbial diversity from the degraded state (Dunn test p-value Benjamini-Hochberg adjusted = 0.0034 and 0.0071 respectively). The structure of sediment microbial ß-diversity responded significantly to the mangrove conservation status and physicochemical parameters (organic carbon content, redox potential, and salinity). Taxa within Chloroflexota, Desulfobacterota and Thermoplasmatota showed significantly higher abundance in degraded mangrove samples compared to conserved ones. This study can help set a baseline that includes the microbial component in health assessment and restoration strategies of mangrove forests.

Correlación del índice de masa corporal y grosor de tejido adiposo en glúteos / Correlation of body mass index and adipose tissue thickness in glutes

Introducción: Con el aumento de la prevalencia de obesidad, se esperaría un mayor espesor glúteo, lo que sería un factor importante en futuras intervenciones en región glútea con fines de optimizar mejores resultados estéticos. Objetivo: Correlacionar el índice de masa corporal y el grosor de tejido adiposo en glúteos en voluntarias que acudieron al Servicio de Cirugía Plástica y Reconstructiva del Hospital Dr. Miguel Pérez Carreño entre enero a marzo, 2023. Métodos: El estudio fue prospectivo, descriptivo y de corte transversal. Se utilizó un sonógrafo Sono Eye 1 para realizar las medidas del glúteo. Mediante una báscula, se midió peso y talla, para posteriormente calcular el IMC, fueron 29 voluntarias de sexo femenino entre 18 a 60 años, sin antecedentes quirúrgicos estéticos previos. Las correlaciones fueron evaluadas con el coeficiente de correlación de Pearson. Se consideró un valor significativo si p < 0,05. Los datos fueron tabulados con STATA 17. Resultados: La edad promedio fue 39 ± 12 años. La mayoría con preobesidad (55,2 %). No hubo diferencias estadísticas en grosor de tejido adiposo, de musculo y espesor de glúteo de acuerdo a la lateralidad; de acuerdo al coeficiente de correlación de Pearson, el IMC no hubo asociación con las medidas combinadas del glúteo izquierdo y derecho del grosor de tejido graso (r = 0,137), grosor muscular (r = 0,115) y espesor glúteo (r = 0,193). Conclusión: Los cambios de las medidas antropométricas de acuerdo al índice de masa corporal, no presentaron correlación estadística con el espesor glúteo. (AU)

Introduction: With the increasing prevalence of obesity, a greater gluteal thickness would be expected, which would be an important factor in future interventions in the gluteal region aimed at optimizing better aesthetic outcomes. Objective: To correlate the body mass index (BMI) and the thickness of adipose tissue in the buttocks of volunteers who attended the Plastic and Reconstructive Surgery Service at Dr. Miguel Pérez Carreño Hospital from January to March, 2023. Methods: The study was prospective, descriptive, and cross-sectional. A Sono Eye 1 sonograph was used to measure the gluteal thickness. Using a scale, weight and height were measured to subsequently calculate the BMI; there were 29 female volunteers aged between 18 and 60 years, without previous aesthetic surgical history. Correlations were assessed using Pearson's correlation coefficient. A significant value was considered if p < 0.05. Data were tabulated using STATA 17. Results: The average age was 39 ± 12 years. The majority had pre-obesity (55,2%). There were no statistical differences in adipose tissue thickness, muscle thickness, and gluteal thickness according to laterality; according to Pearson's correlation coefficient, BMI was not associated with combined measurements of left and right buttock adipose tissue thickness (r = 0,137), muscle thickness (r = 0,115), and gluteal thickness (r = 0,193). Conclusion: Changes in anthropometric measurements according to body mass index did not show a statistical correlation with gluteal thickness. (AU)

The voice of the little giants: Arcellinida testate amoebae in environmental DNA-based bioindication, from taxonomy free to haplotypic level.

Bioindication, evaluating biological responses to environmental disturbances, is crucial for assessing the ecological status of an ecosystem. While historical bioindication relied on macroscopic organisms, the introduction of environmental DNA (eDNA) techniques allows the application of protists without the necessity of morphological identification. In this study, we propose a novel bioindication methodology utilizing Arcellinida, a group of top predators among protists, as bioindicators of freshwater ecosystems. For that purpose, we first characterized the Arcellinida diversity over 1 year at three different points of Lake Sanabria, an ancient glacier lake known to be subjected to anthropogenic disturbances. We compared this diversity with an undisturbed control site. Second, we characterized the Arcellinida diversity in other ecosystems to generate the ecological background to test the connectivity between them. Results indicate limited connectivity between the different ecosystems and an edge effect between terrestrial and aquatic ecosystems. Disturbed freshwater ecosystems exhibited reduced Arcellinida diversity at both specific and infraspecific levels, providing valuable insight into recent disturbances. Arcellinida-based bioindication provides a sensitive, accurate and easy-to-interpret protocol for monitoring disturbances in freshwater ecosystems. It represents a valuable tool for environmental assessments and conservation strategies.

The Mechanism of Action of L-Tyrosine Derivatives against Chikungunya Virus Infection In Vitro Depends on Structural Changes.

Although the disease caused by chikungunya virus (CHIKV) is of great interest to public health organizations around the world, there are still no authorized antivirals for its treatment. Previously, dihalogenated anti-CHIKV compounds derived from L-tyrosine (dH-Y) were identified as being effective against in vitro infection by this virus, so the objective of this study was to determine the mechanisms of its antiviral action. Six dH-Y compounds (C1 to C6) dihalogenated with bromine or chlorine and modified in their amino groups were evaluated by different in vitro antiviral strategies and in silico tools. When the cells were exposed before infection, all compounds decreased the expression of viral proteins; only C4, C5 and C6 inhibited the genome; and C1, C2 and C3 inhibited infectious viral particles (IVPs). Furthermore, C1 and C3 reduce adhesion, while C2 and C3 reduce internalization, which could be related to the in silico interaction with the fusion peptide of the E1 viral protein. Only C3, C4, C5 and C6 inhibited IVPs when the cells were exposed after infection, and their effect occurred in late stages after viral translation and replication, such as assembly, and not during budding. In summary, the structural changes of these compounds determine their mechanism of action. Additionally, C3 was the only compound that inhibited CHIKV infection at different stages of the replicative cycle, making it a compound of interest for conversion as a potential drug.

Molecular epidemiology of carbapenemase encoding genes in A. baumannii-calcoaceticus complex infections in children: a systematic review.

Background: Acinetobacter baumannii-calcoaeticus complex is the leader pathogen for the World Health Organization's list due to the escalating prevalence of multidrug-resistant strains. Insights into the molecular characterization of carbapenemase genes in A. baumannii-calcoaceticus complex infections among children are scarce. To address this gap, we conducted a systematic review to describe the molecular epidemiology of the carbapenemase genes in A. baumannii-calcoaceticus complex infections in the pediatric population. Methods: Adhering to the PRISMA 2020 guidelines for reporting systematic reviews, we conducted a review of in chore bibliographic databases published in English and Spanish, between January 2020 and December 2022. All studies conducted in patients ≤6 years with molecular characterization of carbapenemase-encoding genes in A. baumannii-calcoaceticus infections were included. Results: In total, 1129 cases were reviewed, with an overall carbapenem-resistance rate of 60.3%. A. baumannii-calcoaceticus was isolated from blood cultures in 66.6% of cases. Regionally, the Eastern Mediterranean exhibited the highest prevalence of carbapenem resistance (88.3%). Regarding the carbapenemase genes, blaKPC displayed an overall prevalence of 1.2%, while class B blaNDM had a prevalence of 10.9%. Class D blaOXA-23-like reported a prevalence of 64%, blaOXA-48 and blaOXA-40 had a prevalence of 33% and 18.1%, respectively. Notably, the Americas region showed a prevalence of blaOXA-23-like at 91.6%. Conclusion: Our work highlights the high prevalence of carbapenem-resistant A. baumannii-calcoaceticus and class D carbapenemase genes in children. Of note the distribution of different carbapenemase genes reveals considerable variations across WHO regions. To enhance epidemiological understanding, further extensive studies in children are imperative.

Inclusion of Game-Based Stimulus During Flywheel Resistance Training Positively Influences Physical Performance in Handball Players.

Handball is a body-contact Olympic ball sport that is characterized by fast-paced defensive and offensive actions. Players must coordinate explosive movements (e.g. changing of direction) and handball-specific skills (e.g. passing). Maximizing performance requires a systematic approach to training that includes physical, psychological, technical, and tactical preparation. Purpose: The aim of this study is to determine the effects of movement-based (MOV; unspecific sport stimulus) or game-based (GAM; sport-specific stimulus) flywheel resistance training intervention in highly trained youth handball players. Method:Twenty-five highly trained youth male handball players completed two sessions per week of flywheel resistance training (MOV, n = 12; GAM, n = 13) over the 7-week intervention period. Change-of-direction tests (180º change-of-direction speed test of both legs and test) and handball-throwing test were conducted before and after the intervention. Results: Both groups significantly improved V-cut, and 180º Change-of-direction speed test performance (p < .05; d = 0.79-2.05). Notwithstanding, the GAM group demonstrated greater improvements in V-cut and COD180ASY compared with the MOV group (p < .05) with small effect. Handball throwing speed performance remained unchanged independently of training condition (p > .05). Conclusions: These findings provide further support for the training principle of "specificity" and highlight the importance of including a game-based training stimulus during resistance training. This is a key consideration for coaches wanting to enhance physical performance in youth handball players.

MAGPIE: An interactive tool for visualizing and analyzing protein-ligand interactions.

Quantitative tools to compile and analyze biomolecular interactions among chemically diverse binding partners would improve therapeutic design and aid in studying molecular evolution. Here we present Mapping Areas of Genetic Parsimony In Epitopes (MAGPIE), a publicly available software package for simultaneously visualizing and analyzing thousands of interactions between a single protein or small molecule ligand (the "target") and all of its protein binding partners ("binders"). MAGPIE generates an interactive three-dimensional visualization from a set of protein complex structures that share the target ligand, as well as sequence logo-style amino acid frequency graphs that show all the amino acids from the set of protein binders that interact with user-defined target ligand positions or chemical groups. MAGPIE highlights all the salt bridge and hydrogen bond interactions made by the target in the visualization and as separate amino acid frequency graphs. Finally, MAGPIE collates the most common target-binder interactions as a list of "hotspots," which can be used to analyze trends or guide the de novo design of protein binders. As an example of the utility of the program, we used MAGPIE to probe how different antibody fragments bind a viral antigen; how a common metabolite binds diverse protein partners; and how two ligands bind orthologs of a well-conserved glycolytic enzyme for a detailed understanding of evolutionarily conserved interactions involved in its activation and inhibition. MAGPIE is implemented in Python 3 and freely available at https://github.com/glasgowlab/MAGPIE, along with sample datasets, usage examples, and helper scripts to prepare input structures.

Advancing Neurosurgical Skills: A Comparative Study of Training Models for Intra-Extracranial Cerebral Bypass.

BACKGROUND: Training in anastomosis is fundamental in neurosurgery due to the precision and dexterity required. Biological models, although realistic, present limitations such as availability, ethical concerns, and the risk of biological contamination. Synthetic models, on the other hand, offer durability and standardized conditions, although they sometimes lack anatomical realism. This study aims to evaluate and compare the efficiency of anastomosis training models in the intra-extracranial cerebral bypass procedure, identifying those characteristics that enhance optimal microsurgical skill development and participant experience. METHODS: A neurosurgery workshop was held from March 2024 to June 2024 with 5 vascular techniques and the participation of 22 surgeons. The models tested were the human placenta, the Wistar rat, the chicken wing artery, the nasogastric feeding tube, and the UpSurgeOn Mycro simulator. The scales used to measure these models were the Main Characteristics Score and the Evaluation Score. These scores allowed us to measure, qualitatively and quantitatively, durability, anatomical similarity, variety of simulation scenarios, risk of biological contamination, ethical considerations and disadvantages with specific infrastructure. RESULTS: The human placenta model, Wistar rat model, and UpSurgeOn model were identified as the most effective for training. The human placenta and Wistar rat models were highly regarded for anatomical realism, while the UpSurgeOn model excelled in durability and advanced simulation scenarios. Ethical and cost implications were also considered. CONCLUSIONS: The study identifies the human placenta and UpSurgeOn models as optimal for training in intra-extracranial bypass procedures, emphasizing the need for diverse and effective training models in neurosurgery.

A multicentric outbreak of Candida auris in Mexico: 2020 to 2023.

BACKGROUND: Candida auris, an emerging multidrug-resistant yeast, has become a global concern due to its association with nosocomial outbreaks and resistance to antifungal medications. The COVID-19 pandemic has exacerbated the situation, with several outbreaks reported worldwide, including in Mexico. We describe the clinical and microbiological characteristics of a multicentric outbreak in private institutions in Mexico. METHODS: A retrospective observational study was conducted across 4 Christus Muguerza Hospital Health Care System facilities in Monterrey, Mexico, where simultaneous outbreaks of C auris occurred. Patients with colonization or infection with C auris between September 2020 and December 2023 were included. RESULTS: Analysis revealed 37 cases, predominantly male (median age, 55.8years). While most cases were initially colonization, a significant proportion progressed to infection (32.4%). Patients with documented infection had longer intensive care unit and hospital stays, often requiring mechanical ventilation. Antifungal treatment varied, with empirical fluconazole being the first drug in most cases, followed by anidulafungin and caspofungin. Resistance to fluconazole was widespread, but susceptibility to other antifungals varied. The overall mortality rates were high (40.5%), with no significant difference in median survival between colonized and infected patients. CONCLUSIONS: We reported a high rate of infection in previously colonized cases associated with longer hospital lenght stay, and a high susceptibility to echinocandins.

Quantifying air quality co-benefits to industrial decarbonization: the local Air Emissions Tracking Atlas.

Introduction: Many decarbonization technologies have the added co-benefit of reducing short-lived climate pollutants, such as particulate matter (PM), nitrogen oxides (NOx), and sulfur dioxide (SO2), creating a unique opportunity for identifying strategies that promote both climate change solutions and opportunities for air quality improvement. However, stakeholders and decision-makers may struggle to quantify how these co-benefits will impact public health for the communities most affected by industrial air pollution. Methods: To address this problem, the LOCal Air Emissions Tracking Atlas (LOCAETA) fills a data availability and analysis gap by providing estimated air quality benefits from industrial decarbonization options, such as carbon capture and storage (CCS). These co-benefits are calculated using an algorithm that connects disparate datasets that separately report greenhouse gas emissions and other pollutants at U.S. industrial facilities. Results: Version 1.0 of LOCAETA displays the estimated primary PM2.5 emission reduction co-benefits from additional pretreatment equipment for CCS on industrial and power facilities across the state of Louisiana, as well as the potential for VOC and NH3 generation. The emission reductions are presented in the tool alongside facility pollutant emissions information and relevant air quality, environmental, demographic, and public health datasets, such as air toxics cancer risk, satellite and in situ pollutant measurements, and population vulnerability metrics. Discussion: LOCAETA enables regulators, policymakers, environmental justice communities, and industrial and commercial users to compare and contrast quantifiable public health benefits due to air quality impacts from various climate change mitigation strategies using a free and publicly-available tool. Additional pollutant reductions can be calculated using the same methodology and will be available in future versions of the tool.

Research Translation to Promote Urban Health in Latin America: The SALURBAL Experience.

In highly urbanized and unequal Latin America, urban health and health equity research are essential to effective policymaking. To ensure the application of relevant and context-specific evidence to efforts to reduce urban health inequities, urban health research in Latin America must incorporate strategic research translation efforts. Beginning in 2017, the Urban Health in Latin America (SALURBAL) project implemented policy-relevant research and engaged policymakers and the public to support the translation of research findings. Over 6 years, more than 200 researchers across eight countries contributed to SALURBAL's interdisciplinary network. This network allowed SALURBAL to adapt research and engagement activities to local contexts and priorities, thereby maximizing the policy relevance of research findings and their application to promote policy action, inform urban interventions, and drive societal change. SALURBAL achieved significant visibility and credibility among academic and nonacademic urban health stakeholders, resulting in the development of evidence and tools to support urban policymakers, planners, and policy development processes across the region. These efforts and their outcomes reveal important lessons regarding maintaining flexibility and accounting for local context in research, ensuring that resources are dedicated to policy engagement and dissemination activities, and recognizing that assessing policy impact requires a nuanced understanding of complex policymaking processes. These reflections are relevant for promoting urban health and health equity research translation across the global south and worldwide. This paper presents SALURBAL's strategy for dissemination and policy translation, highlights innovative initiatives and their outcomes, discusses lessons learned, and shares recommendations for future efforts to promote effective translation of research findings.

Long-term outcomes of endoscopic ultrasound-guided pancreatic duct interventions: A single tertiary center experience.

BACKGROUND AND AIMS: Endoscopic ultrasound-guided pancreatic duct intervention (EUS-PDI) is one of the most technically challenging procedures. There remains a knowledge gap due to its rarity. The aim is to report the accumulated EUS-PDI experience in a tertiary center. METHODS: Single tertiary center, retrospective cohort study of prospectively collected data during the study period, from January 2013 to June 2021. RESULTS: In total, 14 patients (85% male; mean age, 61 years, range 37-81) and 25 EUS-PDI procedures for unsuccessful endoscopic retrograde pancreatography (ERP) were included. Principal etiology was chronic pancreatitis with pancreatic duct obstruction (78%). EUS-guided assisted (colorant and/or guidewire, rendezvous) ERP was performed in 14/25 (56%); and transmural drainage in 11 procedures, including pancreaticogastrosmy in 9/25 (36%) and pancreaticoduodenostomy in 2/25 (8%). Overall technical and clinical success was 78.5% (11/14). Three (21%) patients required a second procedure with success in all cases. Two failed cases required surgery. Three (21%) adverse events (AEs) were noted (fever, n=1; perforation, n=1; pancreatitis, n=1). Patients underwent a median of 58 months (range 24-108) follow-up procedures for re-stenting. Spontaneous stent migration was detected in 50% of cases. CONCLUSIONS: EUS-PDI is an effective salvage therapy for unsuccessful ERP, although 21% of patients may still experience AEs. In case of EUS-guided rendezvous failure, it can cross over to a transmural drainage.

Zoom & WhatsApp Digital Information and Communication Technologies (ICTs) Enhance Community Engaged Research with Women Immigrants from Mexico.

This article demonstrates how digital information and communication technologies (ICTs) (Zoom/WhatsApp) unexpectedly and counterintuitively proved to be valuable tools for community-engaged health research when, in the context of the COVID-19 pandemic, they were integrated into a research study testing a peer support group intervention with female immigrants from Mexico. Because of pandemic restrictions, we changed the study protocol to hold meetings remotely via Zoom rather than in person as originally planned. Because we recognized that this would lack some opportunities for participants to interact and develop relationships, we created a WhatsApp chat for each group. Despite challenges for participants to use ICTs and participant-stated preference for in-person meetings, the results demonstrated that participants overwhelmingly endorsed these technologies as promoting access, participation, engagement, and satisfaction. Zoom/WhatsApp created a valuable environment both as a method for conducting research with this population, but also as part of the intervention for immigrant women to support and learn from each other. ICT adaptations have now permanently changed the way we conduct community-engaged health research.