Global Burden of Animal Diseases informatics strategy, data quality and model interoperability.

The estimation of the global burden of animal diseases requires the integration of multidisciplinary models: economic, statistical, mathematical and conceptual. The output of one model often serves as input for another; therefore, consistency of the model components is critical. The Global Burden of Animal Diseases (GBADs) Informatics team aims to strengthen the scientific foundations of modelling by creating tools that address challenges related to reproducibility, as well as model, data and metadata interoperability. Aligning with these aims, several tools are under development: a) GBADs'Trusted Animal Information Portal (TAIL) is a data acquisition platform that enhances the discoverability of data and literature and improves the user experience of acquiring data. TAIL leverages advanced semantic enrichment techniques (natural language processing and ontologies) and graph databases to provide users with a comprehensive repository of livestock data and literature resources. b) The interoperability of GBADs'models is being improved through the development of an R-based modelling package and standardisation of parameter formats. This initiative aims to foster reproducibility, facilitate data sharing and enable seamless collaboration among stakeholders. c) The GBADs Knowledge Engine is being built to foster an inclusive and dynamic user community by offering data in multiple formats and providing user-friendly mechanisms to garner feedback from the community. These initiatives are critical in addressing complex challenges in animal health and underscore the importance of combining scientific rigour with user-friendly interfaces to empower global efforts in safeguarding animal populations and public health.

L'estimation de l'impact mondial des maladies animales nécessite l'utilisation intégrée de modèles issus de diverses disciplines : économiques, statistiques, mathématiques et conceptuels. Les données de sortie d'un modèle constituent souvent celles d'entrée d'un autre modèle ; la cohérence des composantes des différents modèles est donc primordiale. L'équipe informatique du programme " Impact mondial des maladies animales " (GBADs) s'efforce de consolider les bases scientifiques de l'utilisation des modèles en mettant au point des outils permettant de résoudre les problèmes de reproductibilité et d'améliorer l'interopérabilité entre les différents modèles, données et métadonnées. En phase avec ces objectifs, plusieurs outils sont en cours de développement : a) le Portail du GBADs " Trusted Animal Information Portal " (TAIL) est une plateforme d'acquisition de données qui facilite l'accès aux données et à la littérature, tout en améliorant l'expérience utilisateur lors de l'acquisition des données. Le portail TAIL s'appuie sur des techniques avancées d'enrichissement sémantique (traitement du langage naturel et ontologies) et sur des bases de données graphiques pour apporter aux utilisateurs un référentiel complet des données et des ressources documentaires relatives aux animaux d'élevage ; b) l'interopérabilité des modèles du GBADs est en voie d'amélioration grâce à la mise au point d'un progiciel de modélisation fondé sur R et à la normalisation des formats de paramètres. Cette initiative vise à favoriser la reproductibilité, à faciliter le partage de données et à permettre une collaboration transparente entre les parties prenantes ; c) le moteur de connaissances du GBADs, en cours de construction, vise à encourager une communauté d'utilisateurs inclusive et dynamique en proposant des données dans une multiplicité de formats ainsi que des mécanismes conviviaux pour recueillir les commentaires de la communauté. Ces initiatives se révéleront indispensables pour relever les défis complexes de la santé animale et soulignent l'importance d'associer une grande rigueur scientifique à la convivialité des interfaces, afin de donner encore plus d'élan aux efforts déployés dans le monde pour protéger les populations animales et la santé publique.

La estimación del impacto global de las enfermedades animales requiere la integración de modelos multidisciplinarios: económicos, estadísticos, matemáticos y conceptuales. El resultado de un modelo a menudo sirve de entrada para otro; por lo tanto, la coherencia entre los distintos componentes es fundamental. El equipo de informática del programa sobre el Impacto Global de las Enfermedades Animales (GBADs) tiene como objetivo fortalecer los fundamentos científicos de la modelización mediante la creación de herramientas que aborden los retos relacionados con la reproducibilidad, así como con la interoperabilidad de los modelos, datos y metadatos. En consonancia con estos objetivos, se están desarrollando varias herramientas: a) El Portal del GBADs "Trusted Animal Information Portal" (TAIL) es una plataforma de adquisición de datos que mejora tanto la descubribilidad de datos y bibliografía como la experiencia del usuario a la hora de obtener datos. El portal TAIL utiliza técnicas avanzadas de enriquecimiento semántico (procesamiento del lenguaje natural y ontologías), así como bases de datos de grafos, para ofrecer a los usuarios un repositorio completo de datos sobre ganadería y recursos bibliográficos. b) Se está mejorando la interoperabilidad de los modelos del GBADs mediante el desarrollo de un paquete de modelización en R y la normalización de los formatos de los parámetros. Esta iniciativa pretende fomentar la reproducibilidad, facilitar el intercambio de datos y permitir una colaboración fluida entre las partes interesadas. c) El Motor de Conocimiento del GBADs se está construyendo con el objetivo de fomentar una comunidad de usuarios inclusiva y dinámica, ofreciendo datos en diferentes formatos y proporcionando mecanismos fáciles de usar para recopilar comentarios de la comunidad. Estas iniciativas son fundamentales para hacer frente a los complejos retos en el ámbito de la sanidad animal y subrayan la importancia de combinar el rigor científico con interfaces fáciles de usar para potenciar los esfuerzos mundiales encaminados a proteger a las poblaciones animales y la salud pública.

Ontologies related to livestock for the Global Burden of Animal Diseases programme: a review.

The Global Burden of Animal Diseases (GBADs) programme aims to assess the impact of animal health on agricultural animals, livestock production systems and associated communities worldwide. As part of the objectives of GBADs'Animal Health Ontology theme, the programme reviewed conceptual frameworks, ontologies and classification systems in biomedical science. The focus was on data requirements in animal health and the connections between animal health and human and environmental health. In May 2023, the team conducted searches of recognised repositories of biomedical ontologies, including BioPortal, Open Biological and Biomedical Ontology Foundry, and Ontology Lookup Service, to identify animal and livestock ontologies and those containing relevant concepts. Sixteen ontologies were found, covering topics such as surveillance, anatomy and genetics. Notable examples include the Animal Trait Ontology for Livestock, the Animal Health Surveillance Ontology, the National Center for Biotechnology Information Taxonomy and the Uberon Multi-Species Anatomy Ontology. However, some ontologies lacked class definitions for a significant portion of their classes. The review highlights the need for domain evidence to support proposed models, critical appraisal of external ontologies before reuse, and external expert reviews along with statistical tests of agreements. The findings from this review informed the structural framework, concepts and rationales of the animal health ontology for GBADs. This animal health ontology aims to increase the interoperability and transparency of GBADs data, thereby enabling estimates of the impacts of animal diseases on agriculture, livestock production systems and associated communities globally.

Le programme " Impact mondial des maladies animales " (GBADs) vise à évaluer l'impact de la santé animale sur les animaux d'élevage, les systèmes de production animale et les communautés liées à ce secteur d'activités dans le monde. Afin de définir une ontologie de la santé animale répondant aux objectifs du GBADs, le programme a procédé à un examen des cadres conceptuels, des ontologies et des systèmes de classification actuellement appliqués en sciences biomédicales. Il s'agissait de définir les besoins en données dans le domaine de la santé animale ainsi que les connexions entre la santé animale, la santé publique et la santé environnementale. En mai 2023, l'équipe a procédé à des recherches dans des référentiels reconnus d'ontologies biomédicales, notamment BioPortal, Open Biological and Biomedical Ontology Foundry et Ontology Lookup Service, afin de recenser les ontologies relatives aux animaux et au bétail ainsi que celles contenant des concepts pertinents. Seize ontologies ont été relevées, couvrant des thèmes tels que la surveillance, l'anatomie et la génétique. Parmi les exemples notables on peut citer : Animal Trait Ontology for Livestock (ontologie dédiée aux caractères phénotypiques des animaux d'élevage), Animal Health Surveillance Ontology (ontologie dédiée à la surveillance de la santé animale), National Center for Biotechnology Information Taxonomy (la base de données Taxonomie du Centre américain pour les informations biotechnologiques), et Uberon Multi-Species Anatomy Ontology (ontologie anatomique représentant diverses espèces animales). Il a cependant été constaté que certaines ontologies ne disposent pas de définitions de classes pour une grande partie des classes qui les composent. L'examen a souligné l'importance d'étayer les modèles proposés par des données issues des spécialités en question, de procéder à une évaluation critique des ontologies externes avant de les réutiliser et de faire effectuer des examens complémentaires par des experts externes ainsi que des tests statistiques de concordance. Les résultats de cette étude ont apporté des éléments permettant de définir le cadre structurel, les concepts et les principes de l'ontologie relative à la santé animale destinée au GBADs. Cette ontologie de la santé animale vise à accroître l'interopérabilité et la transparence des données du GBADs, ce qui permet d'effectuer des estimations de l'impact des maladies animales sur l'agriculture, les systèmes de production animale et les communautés associées à ce secteur d'activités à l'échelle mondiale.

El programa sobre el impacto global de las enfermedades animales (GBADs) tiene como objetivo evaluar el impacto de la sanidad animal en los animales de granja, los sistemas de producción ganadera y las comunidades conexas en todo el mundo. Como parte de los objetivos en torno al tema de la ontología de la sanidad animal del GBADs, el programa revisó marcos conceptuales, ontologías y sistemas de clasificación en el ámbito de la ciencia biomédica. Se hizo hincapié en los requisitos de datos sobre la sanidad animal y en las conexiones entre la sanidad animal y la salud humana y ambiental. En mayo de 2023, el equipo realizó búsquedas en repositorios reconocidos de ontologías biomédicas, como BioPortal, Open Biological and Biomedical Ontology Foundry y Ontology Lookup Service, para identificar no solo ontologías animales y ganaderas, sino también aquellas que incluyeran conceptos relevantes. En este sentido, se encontraron dieciséis ontologías, que abarcan temas como vigilancia, anatomía y genética. Entre los ejemplos más destacados figuran Animal Trait Ontology for Livestock (Ontología de Características Animales para el Ganado), Animal Health Surveillance Ontology (Ontología de Vigilancia de la Sanidad Animal), National Center for Biotechnology Information Taxonomy (la base de datos Taxonomía del Centro Nacional para la Información Biotecnológica) y Uberon Multi-Species Anatomy Ontology (Ontología Anatómica de Especies Múltiples). Sin embargo, algunas ontologías carecían de definiciones para una parte significativa de sus clases. La revisión pone de relieve la necesidad de contar con datos probatorios del ámbito en cuestión que respalden los modelos propuestos, una evaluación crítica de las ontologías externas antes de su reutilización y revisiones de expertos externos junto con pruebas estadísticas de los acuerdos. Los resultados de esta revisión han servido de base para el marco estructural, los conceptos y los fundamentos de la ontología de la sanidad animal para el GBADs. Esta ontología pretende aumentar la interoperabilidad y la transparencia de los datos del GBADs, permitiendo así estimar el impacto de las enfermedades animales en la agricultura, los sistemas de producción ganadera y las comunidades conexas en todo el mundo.

[A survey on tobacco-free areas at hospital entrances]. / Enquête sur la mise en place d'un lieu de santé sans tabac à l'hôpital.

INTRODUCTION: In a prevalence and opinion survey on smoking, this work focused on a strategy favoring tobacco-free areas at hospital entrances. METHODS: Outreach to the public occupying outdoor spaces led to immediate collection of responses over the course of 13 actions carried out in November 2022, a tobacco-free month. RESULTS: Thirty-two percent of the persons interrogated were smokers, 38% among patients, 26% among professionals and 18% among nursing students. A majority expressed support for smoke-free building entrances, which were viewed by half of the smokers as an encouragement to quit or cut down on their consumption. However, a quarter of participants anticipated difficulties, particularly the "heaviest" smokers. In the psychiatry sector, 54% were smokers, and they were relatively unfavorable to the initiative. As for non-smokers, most voiced discomfort regarding the smell of tobacco, the infiltration of smoke in indoor spaces, passive smoking, a negative image of the hospital, and the detrimental ecological impact. CONCLUSIONS: The tobacco-free hospital entrance initiative is relevant and of benefit to hospitals. In order to succeed, it must involve all stakeholders, whether they are users or professionals, in a concerted attempt to optimize assistance to smokers wishing to quit, by applying an educational and synergistic approach at all levels.

Opioid Therapy for Cancer Pain in Vietnam: Knowledge, Attitudes, and Perceived Barriers Among Health Care Professionals, Policymakers, and Regulators.

PURPOSE: We aimed to assess knowledge, attitudes, and perceived barriers among health care professionals (HCPs), policymakers, and regulators in Vietnam related to opioid therapy for cancer pain. METHODS: We conducted a cross-sectional study in Vietnam from June to August 2022. Participants completed a questionnaire on their demographic characteristics, knowledge and attitudes toward opioid therapy, and barriers to accessing opioids for cancer pain. RESULTS: Two hundred seven HCPs and 15 policymakers/regulators completed the questionnaire. Poor knowledge about opioids in cancer pain was found in 63.3% of HCPs and 80.0% of policymakers/regulators. Poor knowledge was associated with a lack of training in cancer pain management or palliative care (PC; prevalence ratio [PR], 1.14 [95% CI, 1.04 to 1.24]). Negative attitudes toward opioid therapy in cancer pain were held by 64.7% of HCPs and 80.0% of policymakers/regulators. Negative attitudes were associated with the unavailability of oral morphine in the workplace (PR, 1.10 [95% CI, 1.01 to 1.20]). The most common major barriers reported were the absence of national policy on pain management and PC (34.7%), inadequate training in opioid use for cancer pain (33.8%), lockdown of health facilities during the COVID-19 pandemic (32.4%), limited opioid availability in local health facilities (32.4%), and excessively restrictive regulation of opioid dispensing in pharmacies (32.4%). CONCLUSION: This study found a knowledge deficit and negative attitudes toward opioid therapy for cancer pain among HCPs and policymakers/regulators. Improving education and training in opioid therapy is essential. Recognizing major barriers can guide strategies to enhance safe opioid accessibility for cancer pain management in Vietnam.

Spatial Analysis of Drug-Susceptible and Multidrug-Resistant Cases of Tuberculosis, Ho Chi Minh City, Vietnam, 2020-2023.

We characterized the spatial distribution of drug-susceptible (DS) and multidrug-resistant (MDR) tuberculosis (TB) cases in Ho Chi Minh City, Vietnam, a major metropolis in southeastern Asia, and explored demographic and socioeconomic factors associated with local TB burden. Hot spots of DS and MDR TB incidence were observed in the central parts of Ho Chi Minh City, and substantial heterogeneity was observed across wards. Positive spatial autocorrelation was observed for both DS TB and MDR TB. Ward-level TB incidence was associated with HIV prevalence and the male proportion of the population. No ward-level demographic and socioeconomic indicators were associated with MDR TB case count relative to total TB case count. Our findings might inform spatially targeted TB control strategies and provide insights for generating hypotheses about the nature of the relationship between DS and MDR TB in Ho Chi Minh City and the wider southeastern region of Asia.

Planning the future of oral health care workforce: Moving beyond demographic change.

The adoption of Universal Health Coverage for oral health care will not be sufficient to ensure that health care resources are accessible in accordance with needs for care. Government intervention in planning and allocating resources will be required to replace traditional market forces if market failure is not to be replaced by government failure. In this paper we explore the limitations of current 'fixed in time' approaches to planning the oral health care workforce and present an enhanced dynamic model for workforce planning that responds directly to changes in population, evidence-based best practice and new models of care.

Imputation strategies for genomic prediction using nanopore sequencing.

BACKGROUND: Genomic prediction describes the use of SNP genotypes to predict complex traits and has been widely applied in humans and agricultural species. Genotyping-by-sequencing, a method which uses low-coverage sequence data paired with genotype imputation, is becoming an increasingly popular SNP genotyping method for genomic prediction. The development of Oxford Nanopore Technologies' (ONT) MinION sequencer has now made genotyping-by-sequencing portable and rapid. Here we evaluate the speed and accuracy of genomic predictions using low-coverage ONT sequence data in a population of cattle using four imputation approaches. We also investigate the effect of SNP reference panel size on imputation performance. RESULTS: SNP array genotypes and ONT sequence data for 62 beef heifers were used to calculate genomic estimated breeding values (GEBVs) from 641 k SNP for four traits. GEBV accuracy was much higher when genome-wide flanking SNP from sequence data were used to help impute the 641 k panel used for genomic predictions. Using the imputation package QUILT, correlations between ONT and low-density SNP array genomic breeding values were greater than 0.91 and up to 0.97 for sequencing coverages as low as 0.1 × using a reference panel of 48 million SNP. Imputation time was significantly reduced by decreasing the number of flanking sequence SNP used in imputation for all methods. When compared to high-density SNP arrays, genotyping accuracy and genomic breeding value correlations at 0.5 × coverage were also found to be higher than those imputed from low-density arrays. CONCLUSIONS: Here we demonstrated accurate genomic prediction is possible with ONT sequence data from sequencing coverages as low as 0.1 × , and imputation time can be as short as 10 min per sample. We also demonstrate that in this population, genotyping-by-sequencing at 0.1 × coverage can be more accurate than imputation from low-density SNP arrays.

2-year survival estimation for decompensated cirrhosis patients of prognostic scoring systems.

OBJECTIVE: Prognostic models proposed for cirrhotic patients' survival have not been satisfactorily investigated in the Vietnam population, especially in the medium-term period. PATIENTS AND METHODS: In this prospective study, we enrolled a total of 904 patients admitted to Hepato-Gastroenterology Center, Bach Mai Hospital from December 2019 to November 2021 and calculated their CP, MELD, MELD-Na score, IMELD, Refit MELD, and Refit MELD-Na after 2-year follow-up to compare their survival prognosis. RESULTS: The mean age of the patients was 53.8 ±10.8 years, and males constituted 91%. Compared with the surviving group, deceased patients had statistically significant lower albumin, higher INR, serum bilirubin, and creatinine levels with higher means of all prognostic scores. RefitMELD score had the highest AUC (0.768), followed by MELD (0.766), and the lowest belonged to RefitMELDNa (0.669). CONCLUSIONS: In conclusion, deceased patients had significantly higher values of Child-Pugh score and all MELD-based scores than survival. RefitMELD is the most reliable scoring system to predict 2-year mortality in patients with decompensated liver cirrhosis.

Seroprevalence of Toxocara at Tra Vinh University Hospital in Vietnam.

OBJECTIVE: The study aims to assess the seroprevalence of Toxocariasis and its associated risk factors among individuals attending the outpatient department at Tra Vinh University Hospital, Vietnam, in 2022. SUBJECTS AND METHODS: A cross-sectional survey was conducted among outpatients of Tra Vinh University Hospital. Toxocariasis diagnosis was based on the Enzyme-Linked Immunosorbent Assay (ELISA) performed at the hospital's laboratory department. We assessed the seroprevalence of Toxocariasis and evaluated associated risk factors, including demographics and certain behaviors. RESULTS: Of the 249 participants surveyed, 165 tested positive for Toxocariasis, yielding a seroprevalence of 66.3% (95% CI: 60.4-72.1). Multivariate analysis revealed that age groups up to 30 and 30-60 years had higher odds of Toxocariasis infection, with adjusted odds ratios (aOR) of 2.52 (95% CI: 1.04-6.11) and 3.21 (95% CI: 1.44-7.15) respectively. Additionally, individuals residing in rural areas and those in contact with dogs or cats had increased risks, with aORs of 2.21 (95% CI: 1.21-4.01) and 2.04 (95% CI: 1.10-3.79), respectively. Notably, hand washing before eating emerged as a protective factor against Toxocariasis, presenting an aOR of 0.38 (95% CI: 0.19-0.76). CONCLUSIONS: Our findings underscore a significant seroprevalence (66.3%) of Toxocara spp. among outpatients at Tra Vinh University Hospital. Proactive measures, including hand hygiene before meals and after pet interactions, are advocated. There is a pronounced need for community-level epidemiological surveillance for human Toxocariasis.

Adsorption and Molecular Display of a Redox-Active Protein on Gold Nanoparticle Surfaces.

Engineered gold nanoparticles (AuNPs) have great potential in many applications due to their tunable optical properties, facile synthesis, and surface functionalization via thiol chemistry. When exposed to a biological environment, NPs are coated with a protein corona that can alter the NPs' biological identity but can also affect the proteins' structures and functions. Protein disulfide isomerase (PDI) is an abundant protein responsible for the disulfide formation and isomerization that contribute to overall cell redox homeostasis and signaling. Given that AuNPs are widely employed in nanomedicine and PDI plays a functional role in various diseases, the interactions between oxidized (oPDI) and reduced (rPDI) with 50 nm citrate-coated AuNPs (AuNPs) are examined in this study using various techniques. Upon incubation, PDI adsorbs to the AuNP surface, which leads to a reduction in its enzymatic activity despite limited changes in secondary structures. Partial enzymatic digestion followed by mass spectrometry analysis shows that orientation of PDI on the NP surface is dependent on both its oxidation state and the PDI:AuNP incubation ratios.

Periodontitis-resistant and -susceptible matriline regulation of gingival transcriptome in nonhuman primates.

OBJECTIVE: This report identified if gingival gene expression transcriptomes demonstrated unique profiles that discriminated periodontitis-susceptible (PDS) and periodontitis-resistant (PDR) animals in health and disease. BACKGROUND: Nonhuman primates generally organize their social groups based upon matriline origin. We have used a multi-generational colony of rhesus macaques to identify matrilines presenting with significant differences in periodontitis (e.g., earlier age onset, greater prevalence, and severity). METHODS: Animals from 12 to 23 years of age (n = 17; 8 - PDR, 9 - PDS) were entered into a ligature-induced periodontitis trial. Gingival biopsies were taken at baseline and 0.5, 1, 3, and 5 months post-ligation, and microarray analysis was used to quantify gene expression in samples at each time point. RESULTS: Over 1000 genes showed significant (p < .01) differences in the PDR versus PDS animals at baseline. The frequency of differences generally decreased during the disease process, and increased with resolution (i.e., 5 months). A nearly 2:1 ratio of elevated gene levels was noted in baseline PDR samples that included up-regulated MMPs, Fc receptors, chemokines, interleukins, and innate immune receptors, and down-regulated genes particularly related to epithelial biology. Most dramatically, there was a skewed differential expression of adaptive immune response genes in the PDR and epithelial cell structure/function genes in PDS samples. CONCLUSIONS: The results demonstrate substantive differences in gingival tissue response capacity/programming in PDR and PDS samples that may contribute to the differences in clinical outcomes related to the heritability of disease risk through matrilines.

Macrophage-related gingival transcriptomic patterns and microbiome alterations in experimental periodontitis in nonhuman primates.

OBJECTIVE: This study examined the microbiome features specifically related to host macrophage polarization in health, initiation and progression of periodontitis, and in resolution samples using a nonhuman primate model of ligature-induced periodontitis. BACKGROUND: The oral microbiome is a complex of bacterial phyla, genera, and species acquired early in life into the individual autochthonous oral ecology. The microbiome changes overtime in response to both intrinsic and extrinsic stressors, and transitions to a dysbiotic ecology at sites of periodontal lesions. METHODS: Comparisons were made between the microbial and host features in young (≤7 years) and adult (≥12 years) cohorts of animals. Footprints of macrophage-related genes in the gingival tissues were evaluated using expression profiles including M0, M1, and M2 related genes. RESULTS: Within the gingival tissues, similar macrophage-related gene patterns were observed with significant increases with disease initiation and continued elevation throughout disease in both age groups. Approximately, 70% of the taxa were similar in relative abundance between the two groups; however, the adults showed a large number of OTUs that were significantly altered compared with the younger animals. Developing a correlation map identified three major node levels of interactions that comprised approximately ⅓ of the Operational Taxonomic Units (OTUs) that dominated the microbiomes across the samples. Also noted was a much greater frequency of significant correlations of individual OTUs with the macrophage phenotype markers, compared with disease and resolution samples in both age groups, with a greater frequency in the younger group. Moreover, these correlations were assigned to differentially expressed genes representing M0, M1, and M2-related phenotypes. A cluster analyses across the macrophage-related transcriptome and the OTUs demonstrated multiple somewhat distinct bacterial consortia, incorporating both commensal and putative pathogens, linked to the gene responses that differed in health, disease, and resolution samples. Finally, there were minimal alterations in the OTUs in individual clusters with specific macrophage-related responses in the younger group, while in the adult samples substantial variations were noted with genes from all macrophage phenotypes. CONCLUSIONS: The results confirmed important features that could reflect macrophage polarization in periodontal lesions, and provided some initial data supporting specific members of the oral microbiome feature prominently related to specific gene response patterns consistent with macrophages in the gingival tissues.

Sex and Age Effects on Healthy Gingival Transcriptomic Patterns.

Many chronic inflammatory diseases demonstrate demographic associations such as sex, age, and race-ethnicity. Periodontitis has been found to be increased with age and in males. This study used nonhuman primates representing a human-like model for periodontitis and examined the gingival transcriptome stratified on sex and age. Thirty-six Macaca mulatta in 4 age groups-young (<3 y), adolescent (3-7 y), adult (12-15 y), and aged (>17 y)-with a healthy periodontium were used to characterize gene expression in healthy gingival tissues. Gene expression was compared to clinical measures of bleeding on probing (BOP) and probing pocket depth (PPD). The results demonstrated sex differences in number of up- and downregulated genes that increased with age. Female animals generally showed elevated expression of genes related to host immunoinflammatory responses, and males showed increased expression of tissue structural genes. Gene expression correlations with BOP and/or PPD showed minimal overlap between the sexes, while male animals demonstrated substantial overlap in genes that correlated with both BOP and PPD clinical features. A cluster analysis of genes significantly different between sexes showed a clear sex and age discrimination in the young and adolescent animals. In the older groups, the genes clustered predominately by sex, irrespective of age group. A pathway analysis identified that significant gene expression patterns were quite similar in adolescent and adult animals, while the young and aged samples were quite distinct. The results confirmed substantial sex related variations in gingival tissue biology that were affected by age and observed even in adolescent animals. This suggests that "programming" of the gingival tissues related to sex can occur rather early in life and presage variations in future risk for periodontitis.

Digital health literacy and well-being among university students: Mediating roles of fear of COVID-19, information satisfaction, and internet information search.

Background: Digital health literacy (DHL) enables healthy decisions, improves protective behaviors and adherence to COVID-19 measures, especially during the era of the "infodemic", and enhances psychological well-being. Objective: We aimed to explore the mediating roles of fear of COVID-19, information satisfaction, and the importance of online information searching on the association between DHL and well-being. Methods: A cross-sectional web-based survey was conducted among 1631 Taiwanese university students, aged 18 years and above, from June 2021 to March 2022. The collected data include sociodemographic characteristics (sex, age, social status, and financial satisfaction), the importance of online information searching, information satisfaction, fear of COVID-19, DHL, and well-being. A linear regression model was utilized to investigate factors associated with well-being, followed by a pathway analysis to assess the direct and indirect relationship between DHL and well-being. Results: The scores of DHL and overall well-being were 3.1 ± 0.4 and 74.4 ± 19.7, respectively. Social status (B = 2.40, 95% confidence interval (CI) 1.73-3.07, p < 0.001), DHL (B 0.29, 95% CI 0.10-0.49, p < 0.001), importance of online information searching (B = 0.78, 95% CI 0.38-1.17, p < 0.001), and information satisfaction (B = 3.59, 95% CI 2.22-4.94, p < 0.001) were positively associated with well-being, whereas higher fear of COVID-19 scores (B = -0.38, 95% CI -0.55-(-0.21), p < 0.001) and female (B = -2.99, 95% CI -5.02-0.6, p = 0.004) were associated with lower well-being, when compared with lower fear scores and male, respectively. Fear of COVID-19 (B = 0.03, 95% CI 0.016-0.04, p < 0.001), importance of online information searching (B = 0.03, 95% CI 0.01-0.05, p = 0.005), and information satisfaction (B = 0.05, 95% CI 0.023-0.067, p < 0.001) were significantly mediated the relationship between DHL and well-being. Conclusion: Higher DHL scores show direct and indirect associations with higher well-being scores. Fear, importance of online information searching, and information satisfaction significantly contributed to the association.

Insight into global research on health literacy and heart diseases: A bibliometric analysis.

Background: Health literacy (HL) has shown its important role on reducing the burden of heart diseases. However, no study has provided a comprehensive worldwide view of the data regarding HL and heart diseases. The study aimed to provide insight into: (1) the intellectual structure, (2) research trends, and (3) research gaps on HL and heart diseases; and (4) to explore HL scales commonly utilized in heart studies. Materials and methods: Studies related to HL and heart diseases were retrieved from Web of Science, Scopus, and PubMed. All publications published between 2000 and 2021 were included after conducting keyword searches on "heart diseases" in general or on specific types of heart diseases (e.g., "heart failure") and "health literacy". Bibliometric analyses were carried out using the Bibliometrix R package and VOSviewer 1.6.14. Findings: A total of 388 original research articles and reviews on HL and heart diseases were included in our study. The studies were primarily conducted in the United States and developed countries. A total of 337 studies (86.9%) focused on heart failure (200 studies, 51.5%) and ischemic heart diseases (137 studies, 35.3%). Sixty-two studies (16.0%) focused on other heart diseases (e.g., valvular diseases and rheumatic heart diseases). The number of interventional studies was limited (52 studies, 13.4%) and fluctuated from 2000 to 2021. The most common questionnaires measuring health literacy among patients with heart diseases were the Test of Functional Health Literacy in Adults (TOFHLA), Short Test of Functional Health Literacy in Adults (STOFHLA), and Brief Health Literacy Screen (BHLS). Use of the eHealth Literacy Scale (eHEALS) has become the latest trend among patients with heart diseases. Conclusion: Health literacy and heart diseases were most often studied in the United States and developed countries. Several HL tools were used; eHEALS has been lately used in this field. These findings suggest the need to conduct more empirical studies on HL and heart diseases in different settings (e.g., developing or poor countries) and with different types of heart diseases (e.g., valvular and rheumatic disorders). Additionally, it is necessary to develop heart disease-specified HL scales for research and practice.

Association of Digital Health Literacy with Future Anxiety as Mediated by Information Satisfaction and Fear of COVID-19: A Pathway Analysis among Taiwanese Students.

Digital Health Literacy (DHL) helps online users with navigating the infodemic and co-existing conspiracy beliefs to avoid mental distress and maintain well-being. We aimed to investigate the association between DHL and future anxiety (FA); and examine the potential mediation roles of information satisfaction and fear of COVID-19 (F-CoV). A web-based cross-sectional survey was carried out among 1631 Taiwanese university students aged 18 years and above from June 2021 to March 2022. Data collected were socio-demographic characteristics (sex, age, social status, university location), information satisfaction, F-CoV, DHL and FA (using Future Dark scale). The linear regression model was used to explore factors associated with FA. The pathway analysis was further used to evaluate the direct and indirect relationship between DHL and FA. A higher score of DHL (B = -0.21; 95% CI, -0.37, -0.06; p = 0.006), and information satisfaction (B = -0.16; 95% CI, -0.24, -0.08; p < 0.001) were associated with a lower FA score, whereas a higher F-CoV score was associated with a higher FA score (B = 0.43; 95% CI, 0.36, 0.50; p < 0.001). DHL showed the direct impact (B = -0.1; 95% CI, -0.17, -0.04; p = 0.002) and indirect impact on FA as mediated by information satisfaction (B = -0.04; 95% CI, -0.06, -0.01; p = 0.002) and F-CoV (B = -0.06, 95% CI, -0.08, -0.04; p < 0.001). Strategic approaches to promote DHL, information satisfaction, lower F-CoV are suggested to reduce FA among students.

Comparative flow cytometry-based immunophenotyping analysis of peripheral blood leukocytes before and after fixation with paraformaldehyde.

Flow cytometry based immunophenotyping provides prime insight into cellular population composition and characteristics, and is widely used in basic and clinical research. Challenges in processing peripheral blood samples in a timely manner necessitate protocol adaptations and utilization of fixatives. Fixation, however, may introduce artifacts to the flow cytometry readout. We performed a comparative flow cytometry immunophenotyping analysis of 13 immune cell populations in the whole blood using a staining protocol with and without fixation step. Freshly procured human peripheral blood samples were stained with a panel of 33 fluorochrome-conjugated antibodies. Samples were processed using a protocol with or without a paraformaldehyde-based fixation step, and matching sample pairs were analyzed by flow cytometry. Our results show that paraformaldehyde-based fixation, in comparison to matched unfixed samples, did not significantly affect population distribution and frequency for: B cells, Plasmablasts, Dendritic cells, NK cells, Granulocytes, Neutrophils, Eosinophils, or Hematopoietic Stem/Progenitor Cells. However, fixation led to significant marker shifts in the subpopulation distribution in CD4, T regulatory, CD8, Monocytes, and Basophils. These results indicate the importance of pre-experimental assessment of fixation-introduced artifacts in the flow cytometry output when considering the feasibility of fresh processing. This is especially important for samples analyzed using comprehensive exploratory immunoprofiling panels.