Prediction of Enhancer-Gene Interactions Using Chromatin-Conformation Capture and Epigenome Data Using STARE.

Disentangling the relationship of enhancers and genes is an ongoing challenge in epigenomics. We present STARE, our software to quantify the strength of enhancer-gene interactions based on enhancer activity and chromatin contact data. It implements the generalized Activity-by-Contact (gABC) score, which allows predicting putative target genes of candidate enhancers over any desired genomic distance. The only requirement for its application is a measurement of enhancer activity. In addition to regulatory interactions, STARE calculates transcription factor (TF) affinities on gene level. We illustrate its usage on a public single-cell data set of the human heart by predicting regulatory interactions on cell type level, by giving examples on how to integrate them with other data modalities, and by constructing TF affinity matrices.

Combustion aerosols and suspended dust with controlled processes in Lhasa: Elemental analysis and size distribution characteristics.

To explore air contamination resulting from special biomass combustion and suspended dust in Lhasa, the present study focused on the size distribution and chemical characteristics of particulate matter (PM) emission resulting from 7 types of non-fossil pollution sources. We investigated the concentration and size distribution of trace elements from 7 pollution sources collected in Lhasa. Combining Lhasa's atmospheric particulate matter data, enrichment factors (EFs) have been calculated to examine the potential impact of those pollution sources on the atmosphere quality of Lhasa. The highest mass concentration of total elements of biomass combustion appeared at PM0.4, and the second highest concentration existed in the size fraction 0.4-1 µm; the higher proportion (12 %) of toxic metals was produced by biomass combustion. The elemental composition of suspended dust and atmospheric particulate matter was close (except for As and Cd); the highest concentration of elements was all noted in PM2.5-10 (PM3-10). Potassium was found to be one of the main biomass markers. The proportion of Cu in suspended dust is significantly lower than that of atmospheric particulate matter (0.53 % and 3.75 %), which indicates that there are other anthropogenic sources. The EFs analysis showed that the Cr, Cu, Zn, and Pb produced by biomass combustion were highly enriched (EFs > 100) in all particle sizes. The EFs of most trace elements increased with decreasing particle size, indicating the greater influence of humanfactors on smaller particles.

Emission characteristics of biogenic volatile organic compounds in a subtropical pristine forest of southern China.

Emission characteristics of biogenic volatile organic compounds (BVOCs) from dominant tree species in the subtropical pristine forests of China are extremely limited. Here we conducted in situ field measurements of BVOCs emissions from representative mature evergreen trees by using dynamic branch enclosures at four altitude gradients (600-1690 m a.s.l.) in the Nanling Mountains of southern China. Composition characteristics as well as seasonal and altitudinal variations were analyzed. Standardized emission rates and canopy-scale emission factors were then calculated. Results showed that BVOCs emission intensities in the wet season were generally higher than those in the dry season. Monoterpenes were the dominant BVOCs emitted from most broad-leaved trees, accounting for over 70% of the total. Schima superba, Yushania basihirsuta and Altingia chinensis had relatively high emission intensities and secondary pollutant formation potentials. The localized emission factors of isoprene were comparable to the defaults in the Model of Emissions of Gases and Aerosols from Nature (MEGAN), while emission factors of monoterpenes and sesquiterpenes were 2 to 58 times of those in the model. Our results can be used to update the current BVOCs emission inventory in MEGAN, thereby reducing the uncertainties of BVOCs emission estimations in forested regions of southern China.

Significant spatiotemporal pattern of nitrous oxide emission and its influencing factors from a shallow eutropic lake in Inner Mongolia, China.

Eutrophic shallow lakes are generally considered as a contributor to the emission of nitrous oxide (N2O), while regional and global estimates have remained imprecise. This due to a lack of data and insufficient understanding of the multiple contributing factors. This study characterized the spatiotemporal variability in N2O concentrations and N2O diffusive fluxes and the contributing factors in Lake Wuliangsuhai, a typical shallow eutrophic and seasonally frozen lake in Inner Mongolia with cold and arid climate. Dissolved N2O concentrations of the lake exhibited a range of 4.5 to 101.2 nmol/L, displaying significant spatiotemporal variations. The lowest and highest concentrations were measured in summer and winter, respectively. The spatial distribution of N2O flux was consistent with that of N2O concentrations. Additionally, the hotspots of N2O emissions were detected within close to the main inflow of lake. The wide spatial and temporal variation in N2O emissions indicate the complexity and its relative importance of factors influencing emissions. N2O emissions in different lake zones and seasons were regulated by diverse factors. Factors influencing the spatial and temporal distribution of N2O concentrations and fluxes were identified as WT, WD, DO, Chl-a, SD and COD. Interestingly, the same factor demonstrated opposing effects on N2O emission in various seasons or zones. This research improves our understanding of N2O emissions in shallow eutrophic lakes in cold and arid areas.

Engineering artificial cross-species promoters with different transcriptional strengths.

As a fundamental tool in synthetic biology, promoters are pivotal in regulating gene expression, enabling precise genetic control and spurring innovation across diverse biotechnological applications. However, most advances in engineered genetic systems rely on host-specific regulation of the genetic portion. With the burgeoning diversity of synthetic biology chassis cells, there emerges a pressing necessity to broaden the universal promoter toolkit spectrum, ensuring adaptability across various microbial chassis cells for enhanced applicability and customization in the evolving landscape of synthetic biology. In this study, we analyzed and validated the primary structures of natural endogenous promoters from Escherichia coli, Bacillus subtilis, Corynebacterium glutamicum, Saccharomyces cerevisiae, and Pichia pastoris, and through strategic integration and rational modification of promoter motifs, we developed a series of cross-species promoters (Psh) with transcriptional activity in five strains (prokaryotic and eukaryotic). This series of cross species promoters can significantly expand the synthetic biology promoter toolkit while providing a foundation and inspiration for standardized development of universal components The combinatorial use of key elements from prokaryotic and eukaryotic promoters presented in this study represents a novel strategy that may offer new insights and methods for future advancements in promoter engineering.

The growth factor content as an indicator of platelet counts in platelet-rich plasma.

BACKGROUND: Platelet contains growth factors that enhance tissue repair mechanisms, including epidermal growth factor (EGF), platelet-derived growth factor (PDGF-AA and -AB), and transforming growth factor (TGF)-ß. Autologous platelet-rich plasma (PRP) has been shown to significantly improve the treatment of tendon injuries compared with hyaluronic acid and placebo. The topic of agreement between platelet concentrations and growth factors has been covered in some previous studies, but growth factor levels did not correlate well with platelet concentrations. METHOD: In this study, autologous PRP was prepared by concentrating platelets through a J6-MI centrifuge. The automatic hematology analyzer Sysmex XN-20 was used to analyze the platelet concentration in PRP, and the PRP growth factors were determined by ELISA, including PDGF, transforming growth factor- ß1 (TGF-ß1), and EGF. Statistical analysis was conducted on data from 107 patients who received autologous PRP using Pearson correlation analysis. RESULTS: Pearson correlation analysis revealed PDGF, TGF, and EGF had a strong positive correlation with the platelet concentration of the final PRP product (r = 0.697, p < 0.0001; r = 0.488, p < 0.0001; r = 0.572, p < 0.0001, respectively) CONCLUSIONS: There was a strong positive correlation between the concentration of platelets in the final PRP product and the levels of PDGF-AB, TGF-ß, and EGF. These results suggested straightforward and cost-effective growth factor tests can provide valuable information about platelet content in PRP.

Long-term spatiotemporal variations of ammonia in the Yangtze River Delta region of China and its driving factors.

This study focuses on the spatiotemporal distribution, urban-rural variations, and driving factors of ammonia Vertical Column Densities (VCDs) in China's Yangtze River Delta region (YRD) from 2008 to 2020. Utilizing data from the Infrared Atmospheric Sounding Interferometer (IASI), Generalized Additive Models (GAM), and the GEOS-Chem chemical transport model, we observed a significant increase of NH3 VCDs in the YRD between 2014 and 2020. The spatial distribution analysis revealed higher NH3 concentrations in the northern part of the YRD region, primarily due to lower precipitation, alkaline soil, and intensive agricultural activities. NH3 VCDs in the YRD region increased significantly (65.18%) from 2008 to 2020. The highest growth rate occurs in the summer, with an annual average growth rate of 7.2% during the period from 2014 to 2020. Agricultural emissions dominated NH3 VCDs during spring and summer, with high concentrations primarily located in the agricultural areas adjacent to densely populated urban zones. Regions within several large urban areas have been discovered to exhibit relatively stable variations in NH3 VCDs. The rise in NH3 VCDs within the YRD region was primarily driven by the reduction of acidic gases like SO2, as emphasized by GAM modeling and sensitivity tests using the GEOS-Chem model. The concentration changes of acidic gases contribute to over 80% of the interannual variations in NH3 VCDs. This emphasizes the crucial role of environmental policies targeting the reduction of these acidic gases. Effective emission control is urgent to mitigate environmental hazards and secondary particulate matter, especially in the northern YRD.

Hydrology, vegetation, and soil properties as key drivers of soil organic carbon in coastal wetlands: A high-resolution study.

Coastal wetlands are important blue carbon ecosystems that play a significant role in the global carbon cycle. However, there is insufficient understanding of the variations in soil organic carbon (SOC) stocks and the mechanisms driving these ecosystems. Here we analyze a comprehensive multi-source dataset of SOC in topsoil (0-20 cm) and subsoil (20-100 cm) across 31 coastal wetlands in China to identify the factors influencing their distribution. Structural equation models (SEMs) reveal that hydrology has the greatest overall effect on SOC in both soil layers, followed by vegetation, soil properties, and climate. Notably, the mechanisms driving SOC density differ between the two layers. In topsoil, vegetation type and productivity directly impact carbon density as primary sources of carbon input, while hydrology, primarily through seawater salinity, exerts the largest indirect influence. Conversely, in subsoil, hydrology has the strongest direct effect on SOC, with seawater salinity also influencing SOC indirectly through soil and vegetation mediation. Soil properties, particularly pH, negatively affect carbon accumulation, while climate influences SOC indirectly via its effects on vegetation and soil, with a diminishing impact at greater depths. Using Random Forest, we generate high-resolution maps (90 m × 90 m) of topsoil and subsoil carbon density (R 2 of 0.53 and 0.62, respectively), providing the most detailed spatial distribution of SOC in Chinese coastal wetlands to date. Based on these maps, we estimate that SOC storage to a depth of 1 m in Chinese coastal wetlands totals 74.58 ± 3.85 Tg C, with subsoil carbon storage being 2.5 times greater than that in topsoil. These findings provide important insights into mechanism on driving spatial pattern of blue carbon and effective ways to assess carbon status on a national scale, thus contributing to the advancement of global blue carbon monitoring and management.

Exploring the influencing factors of scrub typhus in Gannan region, China, based on spatial regression modelling and geographical detector.

Scrub typhus is a significant public health issue with a wide distribution and is influenced by various determinants. However, in order to effectively eradicate scrub typhus, it is crucial to identify the specific factors that contribute to its incidence at a detailed level. Therefore, the objective of our study is to identify these influencing factors, examine the spatial variations in incidence, and analyze the interplay of two factors on scrub typhus incidence, so as to provide valuable experience for the prevention and treatment of scrub typhus in Gannan and to alleviate the economic burden of the local population.This study employed spatial autocorrelation analyses to examine the dependent variable and ordinary least squares model residuals. Additionally, spatial regression modelling and geographical detector were used to analyze the factors influencing the annual mean 14-year incidence of scrub typhus in the streets/townships of Gannan region from 2008 to 2021. The results of spatial1 autocorrelation analyses indicated the presence of spatial correlation. Among the global spatial regression models, the spatial lag model was found to be the best fitting model (log likelihood ratio = -319.3029, AIC = 666.6059). The results from the SLM analysis indicated that DEM, mean temperature, and mean wind speed were the primary factors influencing the occurrence of scrub typhus. For the local spatial regression models, the multiscale geographically weighted regression was determined to be the best fitting model (adjusted R2 = 0.443, AICc = 726.489). Further analysis using the MGWR model revealed that DEM had a greater impact in Xinfeng and Longnan, while the southern region was found to be more susceptible to scrub typhus due to mean wind speed. The geographical detector results revealed that the incidence of scrub typhus was primarily influenced by annual average normalized difference vegetation index. Additionally, the interaction between GDP and the percentage of grassland area had a significant impact on the incidence of scrub typhus (q = 0.357). This study illustrated the individual and interactive effects of natural environmental factors and socio-economic factors on the incidence of scrub typhus; and elucidated the specific factors affecting the incidence of scrub typhus in various streets/townships. The findings of this study can be used to develop effective interventions for the prevention and control of scrub typhus.

Flexible regression model for predicting the dissemination of Candidatus Liberibacter asiaticus under variable climatic conditions.

Greening, or Huanglongbing (HLB), poses a severe threat to global citrus cultivation, affecting various citrus species and compromising fruit production. Primarily transmitted by psyllids during phloem feeding, the bacterium Candidatus Liberibacter induces detrimental symptoms, including leaf yellowing and reduced fruit quality. Given the limitations of conventional control strategies, the search for innovative approaches, such as resistant genotypes and early diagnostic methods, becomes essential for the sustainability of citrus cultivation. The development of predictive models, such as the one proposed in this study, is essential as it enables the estimation of the bacterium's concentration and the vulnerability of healthy plants to infection, which will be instrumental in determining the risk of HLB. This study proposes a prediction model utilizing environmental factors, including temperature, humidity, and precipitation, which play a decisive role in greening epidemiology, influencing the complex interaction among the pathogen, vector, and host plant. In the proposed modeling, it addresses non-linear relationships through cubic smoothing splines applications and tackles imbalanced categorical predictor variables, requiring the use of a random-effects regression model, incorporating a random intercept to account for variability across different groups and mitigate the risk of biased predictions. The model's ability to predict HLB incidence under varying climatic conditions provides a significant contribution to disease management, offering a strategic tool for early intervention and potentially reducing the spread of HLB. Using climatological and environmental data, the research aims to develop a predictive model, assessing the influence of these variables on the spread of Candidatus Liberibacter asiaticus, essential for effective disease management. The proposed flexible model demonstrates robust predictions for both training and test data, identifying climatological and environmental predictors influencing the dissemination of Candidatus Liberibacter asiaticus, the vascular bacterium associated with Huanglongbing (HLB) or greening.

Transcription Factor Analysis to Investigate Immunosenescence in Rheumatoid Arthritis Patients.

Rheumatoid arthritis (RA) is linked to various signs of advanced aging, such as premature immunosenescence which occurs due to decline in regenerative ability of T cells. RA T cells develop a unique aggressive inflammatory senescent phenotype with an imbalance of Th17/T regulatory (Treg) cell homeostasis and presence of CD28- T cells. The phenotypic analysis and characterization of T cell subsets become necessary to ascertain if any functional deficiencies exist within with the help of transcription factor (TF) analysis. These subset-specific TFs dictate the functional characteristics of T-cell populations, leading to the production of distinct effector cytokines and functions. Examining the expression, activity, regulation, and genetic sequence of TFs not only aids researchers in determining their importance in disease processes but also aids in immunological monitoring of patients enrolled in clinical trials, particularly in evaluating various T-cell subsets [Th17 (CD3+CD4+IL17+RORγt+) cells and T regulatory (Treg) (CD3+CD4+CD25+CD127-FOXP3+) cells], markers of T-cell aging [aged Th17 cells (CD3+CD4+IL17+RORγt+CD28-), and aged Treg cells (CD3+CD4+CD25+CD127-FOXP3+CD28-)]. In this context, we propose and outline the protocols for assessing the expression of TFs in aged Th17 and Treg cells, highlighting the crucial aspects of this cytometric approach.

Relationship between Neighborhood-Level Social Risk Factor Measures and Presenting Glaucoma Severity Utilizing Multilevel Modeling.

Purpose: The neighborhood and built environment social determinant of health domain has several social risk factors (SRFs) that are modifiable through policy efforts. We investigated the impact of neighborhood-level SRFs on presenting glaucoma severity at a tertiary eye care center. Design: A cross-sectional study from August 2012 to May 2022 in the University of Michigan electronic health record (EHR). Participants: Patients with a diagnosis of any open-angle glaucoma with ≥1 eye care visit at the University of Michigan Kellogg Eye Center and ≥1 reliable visual field (VF). Methods: Participants who met inclusion criteria were identified by International Classification of Diseases ninth and tenth revision codes (365.x/H40.x). Data extracted from the EHR included patient demographics, address, presenting mean deviation (MD), and VF reliability. Addresses were mapped to SRF measures at the census tract, block group, and county levels. Multilevel linear regression models were used to estimate the fixed effects of each SRF on MD, after adjusting for patient-level demographic factors and a random effect for neighborhood. Interactions between each SRF measure with patient-level race and Medicaid status were tested for an additive effect on MD. Main Outcome Measures: The main outcome measure was the effect of SRF on presenting MD. Results: In total, 4428 patients were included in the analysis who were, on average, 70.3 years old (standard deviation = 11.9), 52.6% self-identified as female, 75.8% self-identified as White race, and 8.9% had Medicaid. The median value of presenting MD was -4.94 decibels (dB) (interquartile range = -11.45 to -2.07 dB). Neighborhood differences accounted for 4.4% of the variability in presenting MD. Neighborhood-level measures, including worse area deprivation (estimate, ß = -0.31 per 1-unit increase; P < 0.001), increased segregation (ß = -0.92 per 0.1-unit increase in Theil's H index; P < 0.001), and increased neighborhood Medicaid (ß = -0.68; P < 0.001) were associated with worse presenting MD. Significant interaction effects with race and Medicaid status were found in several neighborhood-level SRF measures. Conclusions: Although patients' neighborhood SRF measures accounted for a minority of the variability in presenting MD, most neighborhood-level SRFs are modifiable and were associated with clinically meaningful differences in presenting MD. Policies that aim to reduce neighborhood inequities by addressing allocation of resources could have lasting impacts on vision outcomes. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Estudiar y trabajar como factores de riesgo en estudiantes de enfermería, Universidad Nacional Formosa, 2022 / Study and work as risk factors in nursing students, National University of Formosa,2022

Objetivo: Correlacionar la variable principal sostén del hogar con las variables género, edad, horas de trabajo, horas de sueño y factores de riesgo cardiovascular (índice de masa corporal, hipertensión arterial, dislipemia y diabetes mellitus), en estudiantes de 3º, 4 y 5º año de la Licenciatura en Enfermería, Universidad Nacional de Formosa. Metodología: estudio descriptivo, correlacional, transversal realizado en 214 estudiantes, durante el año 2022, utilizándose un cuestionario on-line autoadministrado, estructurado y medición de peso y talla. Resultados: el 76% fueron mujeres; 64%, principal fueron principal sostén del hogar, 57% refirió dormir menos de 6 horas al día, 15 % trabaja más de 41 horas semanales; 67% tuvo respuestas no saludables a la variable estrés, para la variable actividad física este valor ascendió a 71% y el 53,8% presentó exceso de peso. Se encontró asociación significativa entre ser el principal sostén del hogar con exceso de peso, trabajar 41 horas o más semanalmente, dormir menos de 6 horas al día y con la presencia de 3 o más factores de riesgo cardiovascular. Conclusiones: Las condiciones de vida que afrontan los estudiantes que de manera simultánea estudian, trabajan y son principal sostén del hogar pueden generar estrés, el cual es un factor de riesgo para las enfermedades cardiovasculares[AU]

Objetive: to correlate the main variable of primary income earner or primary breadwinner with gender, age, working hours, sleep hours, and cardiovascular disease risk factors (body mass index, hypertension, dyslipidemia, and diabetes mellitus) in 3rd, 4th, and 5th-year nursing students at the Nursing Program at the National University of Formosa. Methodology: The study was a descriptive, correlational, cross-sectional, conducted with 214 students during 2022 using a self-administered structured online questionnaire and measurement of weight and height. Results: 76% were women, 64% were the main breadwinner, 57% reported sleeping less than 6 hours a day, 15% working more than 41 hours per week; 67% had unhealthy responses to the stress variable, this value rose to 71% for the physical activity variable, and 53.8% were overweight. A significant association was found between the main variable of primary breadwinner and being overweight, working 41 or more hours weekly, and the presence of 3 or more cardiovascular risk factors. Conclusions: The living conditions faced by students who simultaneously study and work, and being the main breadwinner in the household can generate stress, which is a risk factor for cardiovascular diseases[AU]

Objetivo:: correlacionar a variável principal de sustento econômico do lar com as variáveis gênero, idade, horas de trabalho, horas de sono e fatores de risco cardiovascular (índice de massa corporal,hipertensão arterial, dislipidemia e diabetes mellitus) em estudantes do 3º, 4º e 5º ano do curso de graduação em Enfermagem, Universidade Nacional de Formosa. Metodologia: O estudo foi descritivo, correlacional e transversal, realizado em 214 estudantes durante o ano de 2022. Foi utilizado um questionário online autoadministrado e estruturado, e a medição de peso e altura dos estudantes foi realizada. Resultados: 76% dos estudantes eram mulheres; 64% eram o principal sustento econômico do lar; 57% relataram dormir menos de 6 horas por dia, 15% responderam que trabalham mais de 41 horas por semana; em relação aos fatores de risco cardiovascular, 67% tiveram respostas não saudáveis para a variável estresse, para a variável atividade física esse valor aumentou para 71% e 53,8% apresentaram excesso de peso. Foi encontrada uma associação significativa entre a variável principal de sustento econômico do lar com as variáveis excesso de peso, trabalhar 41 horas ou mais por semana, dormir menos de 6 horas al día e a presença de 3 ou mais fatores de risco cardiovascular. Conclusões: As condições de vida enfrentadas pelos estudantes que simultaneamente estudam, trabalham e são o principal sustento do lar podem gerar estresse, que é um fator de risco para doenças cardiovasculares[AU]

A qualidade do sono está associada a determinantes sociodemográficos e clínicos em usuários acompanhados na Atenção Primária à Saúde durante a pandemia de COVID-19 / Sleep quality is associated with sociodemographic and clinical determinants in users attended in Primary Health Care during the COVID-19 pandemic / La calidad del sueño se asocia con determinantes sociodemográficos y clínicos en usuarios monitoreados en Atención Primaria de Salud durante la pandemia de COVID-19

Introdução: O avanço da pandemia de COVID-19 acarretou alterações no sono da população. Os distúrbios do sono têm relação com as principais alterações de saúde mental e também possuem relação com os fatores psicossociais. Objetivo: Estimar a prevalência e fatores associados às alterações na qualidade do sono em usuários acompanhados na Atenção Primária à Saúde durante a pandemia de COVID-19. Métodos: Estudo do tipo transversal, com adultos (idade >18 anos) de ambos os gêneros, acompanhados por uma unidade de saúde. Foram levantadas as informações do prontuário eletrônico da unidade e, durante a visita domiciliar (entre agosto e setembro de 2021), os dados socioeconômicos, fatores de risco, sinais vitais, variáveis antropométricas, hábitos de vida, medicações em uso, uso dos serviços de saúde, internação e consultas no último ano. A qualidade de vida foi avaliada pelo questionário SF-36 e foi usado o Índice de Qualidade do sono Pittsburgh (PSQI). Resultados: A amostra foi formada predominantemente por mulheres (82,9%) com 60,5±11,7 anos de idade, da cor branca (70,7%), com companheiro (61%) e pertencentes à classe C (65,8%). 53,7% da amostra apresentou até duas comorbidades, 87,8% apresentavam sobrepeso/obesidade e 80% faziam uso de anti-hipertensivo. A prevalência de qualidade do sono ruim foi de 87,8% (IC95% 73,1­95,0). Os achados apontam para uma relação entre má qualidade do sono com consumo de álcool, presença de ≥3 comorbidades, níveis de PAS, uso de ansiolíticos, nível de escolaridade e uso de serviços de saúde durante a pandemia. Conclusões: A alta prevalência de qualidade do sono ruim na amostra estudada sugere que determinantes sociodemográficos, presença de comorbidades e hábitos de vida devem ser considerados para minimizar os efeitos das alterações do sono na pandemia.

Introduction: The advancement of the COVID-19 pandemic has resulted in changes in the sleep patterns of the population. Sleep disorders are related to major mental health changes and are also associated with psychosocial factors. Objective: To estimate the prevalence and factors associated with sleep quality changes among users attended in Primary Health Care during the COVID-19 pandemic. Methods: This was a cross-sectional study involving adults (age >18 years) of both genders who were being followed at a healthcare unit. Information was gathered from the unit's electronic medical records, and during home visits (between August and September 2021), socioeconomic data, risk factors, vital signs, anthropometric variables, lifestyle habits, current medications, healthcare service utilization, hospitalization, and consultations in the past year were collected. Quality of life was assessed using the SF-36 questionnaire, and the Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality. Results: The sample consisted predominantly of women (82.9%) with an average age of 60.5±11.7 years, of white ethnicity (70.7%), with a partner (61%), and belonging to class C (65.8%). 53.7% of the sample had up to two comorbidities, 87.8% were overweight/obese, and 80% were using antihypertensive medication. The prevalence of poor sleep quality was 87.8% (95%CI 73.1­95.0). The findings indicate a relationship between poor sleep quality and alcohol consumption, the presence of ≥3 comorbidities, systolic blood pressure levels, use of anxiolytics, education level, and the use of healthcare services during the pandemic. Conclusions: The high prevalence of poor sleep quality in the study sample suggests that sociodemographic determinants, presence of comorbidities, and lifestyle habits should be considered to minimize the effects of sleep disturbances during the pandemic.

Introducción: El avance de la pandemia de COVID-19 ha ocasionado cambios en el sueño de la población. Los trastornos del sueño están relacionados con los principales cambios en la salud mental y también se asocian con factores psicosociales. Objetivo: Estimar la prevalencia y los factores asociados con alteraciones en la calidad del sueño en usuarios atendidos en la Atención Primaria de Salud durante la pandemia de COVID-19. Métodos: Estudio transversal con adultos (edad >18 años) de ambos géneros que son atendidos en una unidad de salud. Se recopilaron datos del historial clínico electrónico de la unidad y durante la visita domiciliaria (entre agosto y septiembre de 2021) se obtuvieron datos socioeconómicos, factores de riesgo, signos vitales, variables antropométricas, hábitos de vida, medicamentos utilizados, uso de servicios de salud, hospitalización y consultas en el último año. La calidad de vida se evaluó mediante el cuestionario SF-36 y se utilizó el Índice de Calidad del Sueño de Pittsburgh (PSQI). Resultados: La muestra estuvo compuesta predominantemente por mujeres (82,9%) con una edad de 60,5±11,7 años, de raza blanca (70,7%), con pareja (61%) y pertenecientes a la clase C (65,8%). El 53,7% de la muestra presentó hasta dos comorbilidades, el 87,8% tenían sobrepeso/obesidad y el 80% utilizaba medicación antihipertensiva. La prevalencia de mala calidad del sueño fue del 87,8% (IC95% 73,1­95,0). Los hallazgos señalan una relación entre la mala calidad del sueño y el consumo de alcohol, la presencia de ≥3 comorbilidades, los niveles de presión arterial sistólica (PAS), el uso de ansiolíticos, el nivel de escolaridad y el uso de servicios de salud durante la pandemia. Conclusiones: La alta prevalencia de mala calidad del sueño en la muestra estudiada sugiere que se deben considerar los determinantes sociodemográficos, la presencia de comorbilidades y los hábitos de vida para minimizar los efectos de los trastornos del sueño en la pandemia.

Perfil lipídico e fatores de risco para doenças cardiovasculares em idosos acompanhados na atenção primária à saúde / Lipid profile and risk factors for cardiovascular diseases in older people seen in primary health care / Perfil lipídico y factores de riesgo de enfermedades cardiovasculares en ancianos seguidos en la atención primaria de salud / Lipid profile and risk factors for cardiovascular diseases in older people seen in primary health care

Introdução: As dislipidemias estão entre os fatores de riscos mais importantes para o desenvolvimento de doenças cardiovasculares (DCV), além de estarem relacionadas a outras patologias que predispõem às DCV. Em função da elevada prevalência e da incidência de complicações associadas à cronicidade da doença, as dislipidemias representam elevados custos ao setor da saúde e da previdência social. Diante disso, ressalta-se a importância do Sistema Único de Saúde, representado pela Atenção Primária à Saúde (APS), em prover práticas de prevenção, diagnóstico e acompanhamento dos pacientes dislipidêmicos, a fim de desonerar o sistema financeiro e promover o envelhecimento saudável. Objetivo: Descrever a prevalência de perfil lipídico alterado entre os idosos. Além disso, pretendeu-se caracterizar a amostra quanto aos aspectos sociodemográficos, de saúde e de comportamento, bem como analisar os fatores associados à distribuição do perfil lipídico alterado e às características da amostra. Métodos: Estudo transversal com dados secundários, obtidos de agosto de 2021 a julho de 2022, tendo como população pacientes idosos em acompanhamento na APS do município de Marau (RS). Todos os dados foram coletados dos prontuários eletrônicos da rede de APS e, após dupla digitação e validação dos dados, a amostra foi caracterizada por meio de estatística descritiva. Foi calculada a prevalência de perfil lipídico alterado com intervalo de confiança de 95% (IC95%) e foi verificada sua distribuição conforme as variáveis de exposição, empregando-se o teste do χ2 e admitindo-se erro tipo I de 5%. Resultados: A prevalência de dislipidemia proporcional entre os sexos foi maior no feminino (33%). A cor de pele predominante foi a branca (76,7%). Cerca de 20% dos pacientes apresentavam colesterol total, colesterol HDL-c e triglicerídeos alterados, enquanto cerca de 15% apresentavam o colesterol HDL-c anormal. Constatou-se que os pacientes dislipidêmicos apresentam mais diabetes e hipertensão em relação aos não dislipidêmicos, ocorrendo a sinergia de fatores de risco para as DCV. Conclusões: A caracterização exercida neste estudo serve de base científica para a compreensão da realidade local e, também, para o direcionamento de políticas públicas na atenção primária que atuem de forma efetiva na prevenção e no controle das dislipidemias e demais fatores de risco cardiovascular.

Introduction: Dyslipidemias are among the most important risk factors for the development of cardiovascular diseases (CVD), in addition to being related to other pathologies that predispose to CVD. Because of the high prevalence and incidence of complications associated with the chronicity of the disease, dyslipidemias represent high costs for the health and social security sector. This highlights the importance of the Unified Health System, represented by primary health care (PHC), in providing prevention, diagnosis and follow-up practices for dyslipidemic patients to relieve the financial system and promote healthy aging. Objective: The study aimed to describe the prevalence of altered lipid profile among older people. In addition, we sought to characterize the sample in terms of sociodemographic, health and behavioral aspects, as well as to analyze the factors associated with the distribution of the altered lipid profile and the characteristics of the sample. Methods: We conducted a cross-sectional study with secondary data, from August 2021 to July 2022, with older patients being followed up at the PHC in the city of Marau (RS) as the study population. All data were collected from the electronic medical records of the PHC network, and after double-typing and validation, the sample was characterized using descriptive statistics. The prevalence of altered lipid profile was determined with a 95% confidence interval (95%CI), and its distribution was verified according to the exposure variables, using the chi-square test and a type I error of 5%. Results: The prevalence of proportional dyslipidemia between sexes was higher in females (33%). The predominant skin color was white (76.7%). About 20% of the patients had altered total cholesterol, HDL-C and triglycerides, while about 15% had abnormal HDL-C. It was found that more dyslipidemic patients had diabetes and hypertension than non-dyslipidemic patients, with a synergy of risk factors for CVD. Conclusions: The characterization carried out in this study serves as a scientific basis for understanding the local reality and also for directing public policies in PHC that act effectively in the prevention and control of dyslipidemia and other cardiovascular risk factors.

Introducción: las dislipidemias se encuentran entre los factores de riesgo más importantes para el desarrollo de enfermedades cardiovasculares (ECV), además de estar relacionadas con otras patologías que predisponen a ECV. Debido a la alta prevalencia e incidencia de complicaciones asociadas a la cronicidad de la enfermedad, las dislipidemias representan altos costos para los sectores de salud y seguridad social. Frente a eso, se destaca la importancia del Sistema Único de Salud, representado por la Atención Primaria de Salud (APS), en la provisión de prácticas de prevención, diagnóstico y seguimiento de pacientes dislipidémicos, con el fin de descongestionar el sistema financiero y promover el envejecimiento saludable. Objetivo: El estudio tiene como objetivo describir la prevalencia del perfil lipídico alterado entre los ancianos. Además, se pretende caracterizar la muestra en cuanto a aspectos sociodemográficos, de salud y conductuales, así como analizar los factores asociados a la distribución del perfil lipídico alterado y las características de la muestra. Métodos: estudio transversal con datos secundarios, de agosto de 2021 a julio de 2022, con pacientes ancianos en seguimiento en la APS del municipio de Marau (RS) como población. Todos los datos fueron recolectados de la historia clínica electrónica de la red de la APS y, luego de doble digitación y validación, la muestra fue caracterizada mediante estadística descriptiva. Se calculó la prevalencia de perfil lipídico alterado con un intervalo de confianza del 95% (IC95%) y se verificó su distribución según las variables de exposición, utilizando la prueba de chi-cuadrado y admitiendo un error tipo I del 5%. Resultados: la prevalencia de dislipidemia proporcional entre sexos fue mayor en el sexo femenino (33%). El color de piel predominante fue el blanco (76,7%). Alrededor del 20% de los pacientes tenían colesterol total, colesterol HDL-C y triglicéridos alterados, mientras que alrededor del 15% tenían colesterol HDL-C anormal. Se encontró que los pacientes dislipidémicos tienen más diabetes e hipertensión que los pacientes no dislipidémicos, con una sinergia de factores de riesgo para ECV. Conclusiones: la caracterización realizada en este estudio sirve de base científica para comprender la realidad local y también para orientar políticas públicas en atención primaria que actúen de manera efectiva en la prevención y control de la dislipidemia y otros factores de riesgo cardiovascular.

Genomic characteristics of antimicrobial resistance and virulence factors of carbapenem-resistant Stutzerimonas nitrititolerans isolated from the clinical specimen.

BACKGROUND: Stutzerimonas nitrititolerans (S. nitrititolerans) is a rare human pathogenic bacterium and has been inadequately explored at the genomic level. Here, we report the first case of carbapenem-resistant S. nitrititolerans isolated from the peritoneal dialysis fluid of a patient with chronic renal failure. This study analyzed the genomic features, antimicrobial resistance, and virulence factors of the isolated strain through whole genome sequencing (WGS). METHODS: The bacterial isolate from the peritoneal dialysis fluid was named PDI170223, and preliminary identification was conducted through Matrix-assisted laser desorption ionization/time of flight mass spectrometry (MALDI-TOF MS). WGS of the strain PDI170223 was performed using the Illumina platform, and a phylogenetic tree was constructed based on the 16S rRNA gene sequences. Antimicrobial susceptibility test (AST) was conducted using the TDR-200B2 automatic bacteria identification/drug sensitivity tester. RESULTS: S. nitrititolerans may emerge as a human pathogen due to its numerous virulence genes, including those encoding toxins, and those involved in flagellum and biofilm formation. The AST results revealed that the strain is multidrug- and carbapenem-resistant. The antimicrobial resistance genes of S. nitrititolerans are complex and diverse, including efflux pump genes and ß⁃lactam resistance genes. CONCLUSION: The analysis of virulence factors and antimicrobial resistance of S. nitrititolerans provides clinical insight into the pathogenicity and potential risks of this bacterium. It is crucial to explore the mechanisms through which S. nitrititolerans causes diseases and maintains its antimicrobial resistance, thereby contributing to development of effective treatment and prevention strategies.

Study of the driving factors of the abnormal influenza A (H3N2) epidemic in 2022 and early predictions in Xiamen, China.

BACKGROUND: Influenza outbreaks have occurred frequently these years, especially in the summer of 2022 when the number of influenza cases in southern provinces of China increased abnormally. However, the exact evidence of the driving factors involved in the prodrome period is unclear, posing great difficulties for early and accurate prediction in practical work. METHODS: In order to avoid the serious interference of strict prevention and control measures on the analysis of influenza influencing factors during the COVID-19 epidemic period, only the impact of meteorological and air quality factors on influenza A (H3N2) in Xiamen during the non coronavirus disease 2019 (COVID-19) period (2013/01/01-202/01/24) was analyzed using the distribution lag non-linear model. Phylogenetic analysis of influenza A (H3N2) during 2013-2022 was also performed. Influenza A (H3N2) was predicted through a random forest and long short-term memory (RF-LSTM) model via actual and forecasted meteorological and influenza A (H3N2) values. RESULTS: Twenty nine thousand four hundred thirty five influenza cases were reported in 2022, accounting for 58.54% of the total cases during 2013-2022. A (H3N2) dominated the 2022 summer epidemic season, accounting for 95.60%. The influenza cases in the summer of 2022 accounted for 83.72% of the year and 49.02% of all influenza reported from 2013 to 2022. Among them, the A (H3N2) cases in the summer of 2022 accounted for 83.90% of all A (H3N2) reported from 2013 to 2022. Daily precipitation(20-50 mm), relative humidity (70-78%), low (≤ 3 h) and high (≥ 7 h) sunshine duration, air temperature (≤ 21 °C) and O3 concentration (≤ 30 µg/m3, > 85 µg/m3) had significant cumulative effects on influenza A (H3N2) during the non-COVID-19 period. The daily values of PRE, RHU, SSD, and TEM in the prodrome period of the abnormal influenza A (H3N2) epidemic (19-22 weeks) in the summer of 2022 were significantly different from the average values of the same period from 2013 to 2019 (P < 0.05). The minimum RHU value was 70.5%, the lowest TEM value was 16.0 °C, and there was no sunlight exposure for 9 consecutive days. The highest O3 concentration reached 164 µg/m3. The range of these factors were consistent with the risk factor range of A (H3N2). The common influenza A (H3N2) variant genotype in 2022 was 3 C.2a1b.2a.1a. It was more accurate to predict influenza A (H3N2) with meteorological forecast values than with actual values only. CONCLUSION: The extreme weather conditions of sustained low temperature and wet rain may have been important driving factors for the abnormal influenza A (H3N2) epidemic. A low vaccination rate, new mutated strains, and insufficient immune barriers formed by natural infections may have exacerbated this epidemic. Meteorological forecast values can aid in the early prediction of influenza outbreaks. This study can help relevant departments prepare for influenza outbreaks during extreme weather, provide a scientific basis for prevention strategies and risk warnings, better adapt to climate change, and improve public health.

HIV incidence and its associated factors among young adults with multiple sexual partners in Maputo, Mozambique: a vaccine preparedness study.

INTRODUCTION: Sub-Saharan Africa has a high burden of HIV, particularly among female sex workers (FSW) and men who have sex with men (MSM). Future clinical trials to evaluate vaccines and other interventions to prevent HIV will need to enroll populations with high HIV incidence. We conducted an observational study of HIV incidence among men and women with multiple sexual partners-including MSM and FSW-in Maputo, Mozambique, in order to prepare the country to conduct future efficacy trials of candidate HIV vaccines and other HIV prevention products. METHODS: We conducted a prospective observational HIV incidence study in Maputo, Mozambique, that enrolled adults aged 18-35 years, without HIV, who had two or more sexual partners in the preceding three months. Recruitment strategies prioritized participation of MSM and FSW. Participants were followed for 24 months with HIV-1 testing every 3 months and staff-administered behavioral questionnaires every 6 months. Cox proportional hazard modeling was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for factors potentially associated with HIV acquisition. RESULTS: From January 2014 to October 2017, 505 adults without HIV were enrolled with median age of 21 years (interquartile range:19-24); 41% were female and 82% were single. There were 19 HIV seroconversions (10 female and 9 male) during 943 person-years (PY) of observation (overall HIV incidence 2.02/100PY; 95%CI 1.21-3.15). The highest HIV incidence was observed among sex workers (2.08/100PY; 95%CI 0.25-7.52) and MSM (19.18/100PY; 95%CI 3.96-56.06). Increased hazard of incident HIV was observed among participants who were MSM (HR = 27.95, 95%CI 4.39-117.94), p = 0.0004), reported three or more sexual partners at enrollment (HR = 7.39, 95%CI 1.64-33.25, p = 0.009), and indicated ever having a sexual partner living with HIV (HR = 9.64, 95%CI 2.23-41.71, p = 0.002). CONCLUSION: Our findings may inform inclusion criteria for upcoming clinical trials of HIV prevention interventions, including vaccine candidates, which may prioritize enrollment of MSM, people with more than three sexual partners, and people with sexual partners who are living with HIV. These same populations are in need of further intervention to reduce HIV incidence.

Enhancing diagnostic accuracy: Direct immunofluorescence assay as the gold standard for detecting Giardia duodenalis and Cryptosporidium spp. in canine and feline fecal samples.

The enteric protozoan parasites Giardia duodenalis and Cryptosporidium spp. are common cause of diarrhea in pet dogs and cats, affecting primarily young animals. This comparative study evaluates the diagnostic performance of conventional and molecular methods for the detection of G. duodenalis and Cryptosporidium spp. infection in dogs and cats.The compared diagnostic assays included merthiolate-iodine-formalin (MIF) method, lateral flow immunochromatography rapid test (ICT) and real-time PCR; using direct immunofluorescence assay (DFA) as golden standard. The study included the analysis of 328 fecal samples from different dog (n = 225) and cat (n = 103) populations.According to DFA, the overall prevalence of G. duodenalis was 24.4% (80/328, 95% CI: 19.8-29.4), varying from 11.6% (12/103, 95% CI: 6.2-19.5) in cats to 30.2% (68/225, 95% CI: 24.3-36.7) in dogs. The overall prevalence of Cryptosporidium spp. was 4.0% (13/328, 95% CI: 2.1-6.7), varying from 2.9% (3/103, 95% CI: 0.6-8.3) in cats to 4.4% (10/225, 95% CI: 2.1-8.0) in dogs. MIF was only used for the detection of G. duodenalis, which was identified by this method in 22.7% of dogs and 7.8% of cats, respectively. DFA was the most sensitive technique for detecting G. duodenalis in samples from dogs and cats (p-value: < 0.001), followed by real-time PCR. Identification of Cryptosporidium infections was most effectively accomplished by the combination of DFA and PCR technique (p-value: < 0.001). In addition, epidemiological (sex, age, origin) and clinical (fecal consistency) variables were collected to assess their potential associations with an increased likelihood of infection by G. duodenalis and/or Cryptosporidium spp. Breeder dogs were more likely to harbor G. duodenalis infection (p-value: 0.004), whereas female cats were significantly more infected with Cryptosporidium (p-value: 0.003).In conclusion, DFA (alone or in combination with PCR) has been identified as the most accurate and cost-effective method for detecting G. duodenalis and Cryptosporidium spp. in fecal samples from pet dogs and cats. This highlights their importance in both veterinary and clinical settings for enabling prompt treatment and preventing potential transmission to humans.

Analysis of risk factors and construction of nomogram model for arthroscopic single-row rivet repair.

BACKGROUND: The factors influencing the clinical outcome of arthroscopic rotator cuff repair are not fully understood. PURPOSE: To explore the factors related to the postoperative outcome of arthroscopic single-row rivet rotator cuff repair in patients with rotator cuff injury and to construct the related nomogram risk prediction model. METHODS: 207 patients with rotator cuff injury who underwent arthroscopic single-row rivet rotator cuff repair were reviewed. The differences of preoperative and postoperative Visual Analogue Score (VAS) scores and University of California, Los Angeles (UCLA) scores were analyzed and compared. The postoperative UCLA score of 29 points was taken as the critical point, and the patients were divided into good recovery group and poor recovery group, and binary logstic regression analysis was performed. According to the results of multivariate logistic regression analysis, the correlation nomogram model was constructed, and the calibration chart was used, AUC, C-index. The accuracy, discrimination and clinical value of the prediction model were evaluated by decision curve analysis. Finally, internal validation is performed using self-random sampling. RESULTS: The mean follow-up time was 29.92 ± 17.20 months. There were significant differences in VAS score and UCLA score between preoperative and final follow-up (p < 0.05); multivariate regression analysis showed: Combined frozen shoulder (OR = 3.890, 95% CI: 1.544 ∼ 9.800), massive rotator cuff tear (OR = 3.809, 95%CI: 1.218 ∼ 11.908), More rivets number (OR = 2.118, 95%CI: 1.386 ∼ 3.237), lower preoperative UCLA score (OR = 0.831, 95%CI: 0.704-0.981) were adverse factors for the postoperative effect of arthroscopic rotator cuff repair. Use these factors to build a nomogram. The nomogram showed good discriminant and predictive power, with AUC of 0.849 and C-index of 0.900 (95% CI: 0.845 ∼ 0.955), and the corrected C index was as high as 0.836 in internal validation. Decision curve analysis also showed that the nomogram could be used clinically when intervention was performed at a threshold of 2%∼91%. CONCLUSION: Combined frozen shoulders, massive rotator cuff tears, and increased number of rivets during surgery were all factors associated with poor outcome after arthroscopic rotator cuff repair, while higher preoperative UCLA scores were factors associated with good outcome after arthroscopic rotator cuff repair. This study provides clinicians with a new and relatively accurate nomogram model.