Disease Prevention Strategies Research Articles

Exploring COVID-19 Pandemic Disparities with Transcriptomic Meta-analysis from the Perspective of Personalized Medicine

Infection with SARS-CoV2, which is responsible for COVID-19, can lead to differences in disease development, severity and mortality rates depending on gender, age or the presence of certain diseases. Considering that existing studies ignore these differences, this study aims to uncover potential differences attributable to gender, age and source of sampling as well as viral load using bioinformatics and multi-omics approaches. Differential gene expression analyses were used to analyse the phenotypic differences between SARS-CoV-2 patients and controls at the mRNA level. Pathway enrichment analyses were performed at the gene set level to identify the activated pathways corresponding to the differences in the samples. Drug repurposing analysis was performed at the protein level, focusing on host-mediated drug candidates to uncover potential therapeutic differences. Significant differences (i.e. the number of differentially expressed genes and their characteristics) were observed for COVID-19 at the mRNA level depending on the sample source, gender and age of the samples. The results of the pathway enrichment show that SARS-CoV-2 can be combated more effectively in the respiratory tract than in the blood samples. Taking into account the different sample sources and their characteristics, different drug candidates were identified. Evaluating disease prediction, prevention and/or treatment strategies from a personalised perspective is crucial. In this study, we not only evaluated the differences in COVID-19 from a personalised perspective, but also provided valuable data for further experimental and clinical efforts. Our findings could shed light on potential pandemics.

Molecular surveillance of zoonotic pathogens from wild rodents in the Republic of Korea.

Rodents are recognized as major reservoirs of numerous zoonotic pathogens and are involved in the transmission and maintenance of infectious diseases. Furthermore, despite their importance, diseases transmitted by rodents have been neglected. To date, there have been limited epidemiological studies on rodents, and information regarding their involvement in infectious diseases in the Republic of Korea (ROK) is still scarce. We investigated rodent-borne pathogens using nested PCR/RT-PCR from 156 rodents including 151 Apodemus agrarius and 5 Rattus norvegicus from 27 regions in eight provinces across the ROK between March 2019 and November 2020. Spleen, kidney, and blood samples were used to detect Anaplasma phagocytophilum, Bartonella spp., Borrelia burgdorferi sensu lato group, Coxiella burnetii, Leptospira interrogans, and severe fever with thrombocytopenia syndrome virus (SFTSV). Of the 156 rodents, 73 (46.8%) were infected with Bartonella spp., 25 (16.0%) with C. burnetii, 24 (15.4%) with L. interrogans, 21 (13.5%) with A. phagocytophilum, 9 (5.8%) with SFTSV, and 5 (3.2%) with Borrelia afzelii. Co-infections with two and three pathogens were detected in 33 (21.1%) and 11 rodents (7.1%), respectively. A. phagocytophilum was detected in all regions, showing a widespread occurrence in the ROK. The infection rates of Bartonella spp. were 83.3% for B. grahamii and 16.7% for B. taylorii. To the best of our knowledge, this is the first report of C. burnetii and SFTSV infections in rodents in the ROK. This study also provides the first description of various rodent-borne pathogens through an extensive epidemiological survey in the ROK. These results suggest that rodents harbor various pathogens that pose a potential threat to public health in the ROK. Our findings provide useful information on the occurrence and distribution of zoonotic pathogens disseminated among rodents and emphasize the urgent need for rapid diagnosis, prevention, and control strategies for these zoonotic diseases.

Mapping serogroup distribution and seroprevalence of leptospirosis in livestock of Assam, Northeastern State of India: Unveiling uncommon Leptospira serogroups

Leptospirosis is a significant zoonotic disease affecting livestock, leading to reproductive issues and economic losses. Despite its endemic status in India, research has predominantly focused on coastal regions, leaving the North Eastern Region (NER) underexplored. This study aims to investigate the seroprevalence and serogroup distribution of leptospirosis in livestock across Assam, a major state in the North Eastern Region (NER) of India. Serum samples (n=811) from cattle, buffalo, sheep, goats, and pigs were collected between 2016 and 2019 and screened using the Microscopic Agglutination Test (MAT) for 24 serogroups. The overall seroprevalence was 22.9 % (186/811), with highest prevalence in cattle (26.2 %) and buffalo (25 %), followed by small ruminants (19.8 %) and pigs (18.6 %) . Notably, uncommon serovars such as Mini (28.8 %), Manhao (12.4 %), and Cynopteri (7.5 %) were identified, indicating a unique epidemiological pattern in Assam. High seroprevalence was observed in districts like Bongaigaon (66.7 %), Kamrup Metropolitan (50.0 %), and Nalbari (40.0 %), emphasizing the need for targeted intervention strategies. The presence of these uncommon serogroups, typically found in neighbouring countries and other regions, suggests potential transboundary transmission from these countries. This study provides valuable insights into the seroprevalence and serogroup distribution of leptospirosis in Assam's livestock, highlighting the need for region-specific surveillance and control measures. These findings underscore the importance of understanding the local epidemiological landscape to develop effective disease management and prevention strategies, ultimately reducing the impact of leptospirosis in the NER of India.

Random Forest and Feature Importance Measures for Discriminating the Most Influential Environmental Factors in Predicting Cardiovascular and Respiratory Diseases.

Several studies suggest that environmental and climatic factors are linked to the risk of mortality due to cardiovascular and respiratory diseases; however, it is still unclear which are the most influential ones. This study sheds light on the potentiality of a data-driven statistical approach by providing a case study analysis. Daily admissions to the emergency room for cardiovascular and respiratory diseases are jointly analyzed with daily environmental and climatic parameter values (temperature, atmospheric pressure, relative humidity, carbon monoxide, ozone, particulate matter, and nitrogen dioxide). The Random Forest (RF) model and feature importance measure (FMI) techniques (permutation feature importance (PFI), Shapley Additive exPlanations (SHAP) feature importance, and the derivative-based importance measure (κALE)) are applied for discriminating the role of each environmental and climatic parameter. Data are pre-processed to remove trend and seasonal behavior using the Seasonal Trend Decomposition (STL) method and preliminary analyzed to avoid redundancy of information. The RF performance is encouraging, being able to predict cardiovascular and respiratory disease admissions with a mean absolute relative error of 0.04 and 0.05 cases per day, respectively. Feature importance measures discriminate parameter behaviors providing importance rankings. Indeed, only three parameters (temperature, atmospheric pressure, and carbon monoxide) were responsible for most of the total prediction accuracy. Data-driven and statistical tools, like the feature importance measure, are promising for discriminating the role of environmental and climatic factors in predicting the risk related to cardiovascular and respiratory diseases. Our results reveal the potential of employing these tools in public health policy applications for the development of early warning systems that address health risks associated with climate change, and improving disease prevention strategies.

Impact of Lipids on Insulin Resistance: Insights from Human and Animal Studies.

Insulin resistance (IR) is a complex pathological condition central to metabolic diseases such as type 2 diabetes mellitus (T2DM), cardiovascular disease, non-alcoholic fatty liver disease, and polycystic ovary syndrome (PCOS). This review evaluates the impact of lipids on insulin resistance (IR) by analyzing findings from human and animal studies. The articles were searched on the PubMed database using two keywords: (1) "Role of Lipids AND Insulin Resistance AND Humans" and (2) "Role of Lipids AND Insulin Resistance AND Animal Models". Studies in humans revealed that elevated levels of free fatty acids (FFAs) and triglycerides (TGs) are closely associated with reduced insulin sensitivity, and interventions like metformin and omega-3 fatty acids show potential benefits. In animal models, high-fat diets disrupt insulin signaling and increase inflammation, with lipid mediators such as diacylglycerol (DAG) and ceramides playing significant roles. DAG activates protein kinase C, which eventually impairs insulin signaling, while ceramides inhibit Akt/PKB, further contributing to IR. Understanding these mechanisms is crucial for developing effective prevention and treatment strategies for IR-related diseases.

ANALYSIS OF RISK MANAGEMENT AMONG BROILER FARMERS IN KUJE AREA COUNCIL, FEDERAL CAPITAL TERRITORY, ABUJA, NIGERIA

The study assessed risk management among broiler farmers in Kuje Area Council, FCT, Nigeria. The study used three-stage sampling technique and primary data were collected from 67 broiler farmers. The analytical technique involved descriptive statistics and principal component analysis. The results revealed that 79.1% of the respondents were males with a mean age of 42 years, 47.8% had education to secondary level and 53.7% had more than 1-3 years of farming experience with the mean of 5 years and 46.3% of the household size had a range between 1-5 members with a mean of 6 members. The result of the risks encountered by the broiler farmers showed that shortage of feed was the major production risk encountered with a mean value of 3.23, unforeseen funding shortage was the most critical financial risk encountered (3.18), unfavorable weather condition was the most significant environmental risk encountered (3.61), high cost of feed was the highest ranked market risk encountered (3.84). The risk management strategies adopted by the broiler farmers showed that Feed, general health, disease prevention, financial and environmental management strategies were the five factor components left after factor analysis. The study concludes that the risk management strategies were possibly not being properly implemented and adopted; hence, they often continue to encounter these risks. This study recommends that government in collaboration with broiler farmers should make good intervention and policies through the relevant agricultural agencies in order to minimize risk, reduce cost of production and achieve increase farm incomes in the study area.

Using publicly available, interactive epidemiological dashboards: an innovative approach to sharing data from the Rakai Community Cohort Study.

Public sharing of de-identified biomedical data promotes collaboration between researchers and accelerates the development of disease prevention and treatment strategies. However, open-access data sharing presents challenges to researchers who need to protect the privacy of study participants, ensure that data are used appropriately, and acknowledge the inputs of all involved researchers. This article presents an approach to data sharing which addresses the above challenges by using a publicly available dashboard with de-identified, aggregated participant data from a large HIV surveillance cohort. Data in this study originated from the Rakai Community Cohort Study (RCCS), which was integrated into a centralized data mart as part of a larger data management strategy for the Rakai Health Sciences Program in Uganda. These data were used to build a publicly available, protected health information (PHI)-secured visualization dashboard for general research use. Using two unique case studies, we demonstrate the capability of the dashboard to generate the following hypotheses: firstly, that HIV prevention strategies ART and circumcision have differing levels of impact depending on the marital status of investigated communities; secondly, that ART is very successful in comparison to circumcision as an interventional strategy in certain communities. The democratization of large-scale anonymized epidemiological data using public-facing dashboards has multiple benefits, including facilitated exploration of research data and increased reproducibility of research findings. By allowing the public to explore data in depth and form new hypotheses, public-facing dashboard platforms have significant potential to generate new relationships and collaborations and further scientific discovery and reproducibility.

Pathogenicity evaluation of Cytospora species in 13 apple (Malus domestica) varieties and wild apple (Malus sieversii) in Xinjiang, China

AbstractApples are a popular fruit worldwide and are cultivated in the Xinjiang Uygur Autonomous Region (XUAR) in China. Cytospora canker disease is a serious problem in the apple industry in China. Pathogenicity of all historically recorded Cytospora species from Malus hosts was tested on the leaves and breaches of 13 varieties of apple (Malus domestica) and wild apple (Malus sieversii). Cytospora leucosperma and Cytospora pruinopsis were the most aggressive pathogens on apple and wild apple trees in Xinjiang. Meanwhile, Cytospora leucostoma, Cytospora nivea and Cytospora parakantschavelii were the least aggressive. In addition, Fuji and Golden Delicious were the most Cytospora canker disease‐resistant apple varieties and are recommended for future promotion. However, Sitagan and Erzizi were readily infected by Cytospora. Our findings provide a theoretical basis for field disease epidemic monitoring and tailoring disease prevention and control strategies based on the disease resistance of the variety and the aggressiveness of the pathogen.

The Role of Hemoglobin in Maintaining Health: A Literature Review

The role of hemoglobin in maintaining health is still not fully understood Thoroughly. Therefore, this literature review aims to uncover comprehensively the role of hemoglobin in maintaining health. Objective: The purpose of this literature review is to investigate the role of hemoglobin in maintaining health by collecting and analyzing current findings in the scientific literature. The methodology used is a systematic search through academic databases such as PubMed, Google Scholar, and Scopus using relevant keywords such as "hemoglobin", "health maintenance", and "literature review". Articles that meet the inclusion criteria are selected for analysis. The samples in this review literature are scientific articles published within a certain time frame and focus on the role of hemoglobin in maintaining health. The population studied includes humans of various age groups and health conditions. The results of the analysis stated that hemoglobin plays an important role in maintaining oxygen balance in the body, supporting the function of vital organs, and preventing diseases related to hemoglobin disorders. Factors such as nutrition, environment, and health conditions can affect a person's hemoglobin levels. In conclusion, this literature review confirms that a deep understanding of hemoglobin's role in maintaining health is important for the development of prevention and management strategies for diseases associated with hemoglobin disorders. Thus, further research in this area is needed to improve general well-being.

Current and future burden of Ross River virus infection attributable to increasing temperature in Australia: a population-based study

Ross River virus (RRV), Australia's most notifiable vector-borne disease transmitted through mosquito bites, has seen increased transmission due to rising temperatures. Quantifying the burden of RRV infection attributable to increasing temperatures (both current and future) is pivotal to inform prevention strategies in the context of climate change. As RRV-related deaths are rare in Australia, we utilised years lived with disability (YLDs) associated with RRV infection data from the Australian Institute of Health and Welfare (AIHW) Burden of Disease database between 2003 and 2018. We obtained relative risks per 1°C temperature increase in RRV infection from a previous meta-analysis. Exposure distributions for each Köppen-Geiger climate zone were calculated separately and compared with the theoretical-minimum-risk exposure distribution to calculate RRV burden attributable to increasing temperatures during the baseline period (2003-2018), and projected future burdens for the 2030s and 2050s under two greenhouse gas emission scenarios (Representative Concentration Pathways, RCP 4.5 and RCP 8.5), two adaptation scenarios, and different population growth series. During the baseline period (2003-2018), increasing mean temperatures contributed to 35.8 (±0.5) YLDs (19.1%) of the observed RRV burden in Australia. The mean temperature attributable RRV burden varied across climate zones and jurisdictions. Under both RCP scenarios, the projected RRV burden is estimated to increase in the future despite adaptation scenarios. By the 2050s, without adaptation, the RRV burden could reach 45.8 YLDs under RCP4.5 and 51.1 YLDs under RCP8.5. Implementing a 10% adaptation strategy could reduce RRV burden to 41.8 and 46.4 YLDs, respectively. These findings provide scientific evidence for informing policy decisions and guiding resource allocation for mitigating the future RRV burden. The current findings underscore the need to develop location-specific adaptation strategies for climate-sensitive disease control and prevention. Australian Research Council Discovery Program.

Thermoresponsive nanosponges: Efficient antigen delivery carriers and adjuvants for in vivo vaccination

BackgroundVaccination is an effective disease prevention strategy involving immune cell stimulation and formation in response to foreign substances. However, the poor immunogenicity and deliverability of certain antigens necessitate novel methods to establish continuous immunity. Therefore, for efficient antigen delivering and simultaneously performing as a nanoadjuvant, herein, we prepared core (polylactic acid)-shell (poloxamer) thermoresponsive nanosponges (TNSs). MethodsBy simple nanoprecipitation, we prepared the thermoresponsive nanosponges (TNSs) with core-to-shell ratios of 1:2 and 1:20. Thereafter, antigens (ovalbumin, OVA) were loaded into TNSs by swelling behavior. ResultsThe TNSs were prepared with different sizes using differing core-to-shell ratios: TNS1:2 (160 nm) and TNS1:20 (67 nm). When loaded with the model antigen ovalbumin (OVA), TNS1:2 (289 nm) showed a seven-fold higher IL-2 secretion response cross-presentation ability than TNS1:20 (74 nm) and was used in subsequent experiments. TNS1:2 promoted dendritic cell maturation and exhibited high OVA encapsulation (optimal loading: 50 wt%), sufficient long-term stability, and controlled OVA release under physiological conditions. It was not toxic to dendritic cells even at high concentrations. Compared to free OVA, 50 wt% OVA loaded TNS1:2 exhibited better cellular uptake and a superior ability to elicit immune cell IL-2 secretion. The OVA antigen-specific activation of immune cells in mice was examined by monitoring serum IgG levels, cross-presentation to splenocyte CD8+ T-cells, and IFN-γ cytokine levels. ConclusionsThe results highlight TNSs as promising nanoadjuvants and carriers for antigen delivery in vaccine applications.

Description of New Morphological Variation of Culex (Culex) coronator Dyar and Knab, 1906 and First Report of Culex (Carrollia) bonnei Dyar, 1921 Found in the Central Region of Peru

Mosquitoes (Diptera: Culicidae) pose a significant threat to public health worldwide, especially in tropical and subtropical regions, where they act as primary vectors in transmission of infectious agents. In Peru, 182 culicid species have been identified and several species of the genus Culex are known to transmit arboviruses. However, knowledge of mosquito diversity and distribution remains limited, with many studies focusing on specific regions only. Here, we describe a new morphological variation of Cx. (Culex) coronator Dyar and Knab, 1906, and report the presence of Culex (Carrollia) bonnei Dyar, 1921 in the central region of Peru, Huanuco. Specimens were obtained through larvae collections and identified through morphologic characterization, including dissection of male genitalia, and molecular analyses. In total, 17 mosquitoes were analyzed, and the genitalia of the male specimens allowed the identification of Cx. coronator and Cx. bonnei. Partial sequences of the CoxI gene corresponding to these two species were obtained (N = 10). Phylogenetic analysis revealed that the sequences of Cx. coronator grouped in a monophyletic clade with sequences ascribed to other species corresponding to the subgenus Carrollia, while Cx. bonnei specimens formed a monophyletic clade with homologous sequences from GenBank. This study underscores the importance of continued efforts to study the diversity and distribution of mosquitoes in Peru, including their potential role as vectors of human pathogens, to underpin effective disease control and prevention strategies, highlighting the importance of a complemented morphological and molecular analysis.

Comprehensive profiling of social mixing patterns in resource poor countries: A mixed methods research protocol.

Low-and-middle-income countries (LMICs) bear a disproportionate burden of communicable diseases. Social interaction data inform infectious disease models and disease prevention strategies. The variations in demographics and contact patterns across ages, cultures, and locations significantly impact infectious disease dynamics and pathogen transmission. LMICs lack sufficient social interaction data for infectious disease modeling. To address this gap, we will collect qualitative and quantitative data from eight study sites (encompassing both rural and urban settings) across Guatemala, India, Pakistan, and Mozambique. We will conduct focus group discussions and cognitive interviews to assess the feasibility and acceptability of our data collection tools at each site. Thematic and rapid analyses will help to identify key themes and categories through coding, guiding the design of quantitative data collection tools (enrollment survey, contact diaries, exit survey, and wearable proximity sensors) and the implementation of study procedures. We will create three age-specific contact matrices (physical, nonphysical, and both) at each study site using data from standardized contact diaries to characterize the patterns of social mixing. Regression analysis will be conducted to identify key drivers of contacts. We will comprehensively profile the frequency, duration, and intensity of infants' interactions with household members using high resolution data from the proximity sensors and calculating infants' proximity score (fraction of time spent by each household member in proximity with the infant, over the total infant contact time) for each household member. Our qualitative data yielded insights into the perceptions and acceptability of contact diaries and wearable proximity sensors for collecting social mixing data in LMICs. The quantitative data will allow a more accurate representation of human interactions that lead to the transmission of pathogens through close contact in LMICs. Our findings will provide more appropriate social mixing data for parameterizing mathematical models of LMIC populations. Our study tools could be adapted for other studies.

Self-Sustaining Triboelectric Nanosensors for Real-Time Urine Analysis in Smart Toilets.

Healthcare has undergone a revolutionary shift with the advent of smart technologies, and smart toilets (STs) are among the innovative inventions offering non-invasive continuous health monitoring. The present technical challenges toward this development include limited sensitivity of integrated sensors, poor stability, slow response and the requirement external energy supply alongside manual sample collection. In this article, triboelectric nanosensor array (TENSA) is introduced featuring electrodes crafted from laser-induced 3D graphene with functional polymers like polystyrene, polyimide, and polycaprolactone for real-time urine analysis while generating 50 volts output via urine droplet-based triboelectrification. Though modulating interfacial double-layer capacitance, these sensors exhibit exceptional sensitivity and selectivity in detecting a broad spectrum of urinary biomarkers, including ions, glucose, and urea with a classification precision of 95% and concentration identification accuracy of up to 0.97 (R2), supported by artificial neural networks. Upon exposure to urine samples containing elevated levels of Na+, K+, and NH4 +, a notable decrease (ranging from 32% to 68%) is observed in output voltages. Conversely, urea induces an increase up to 13%. Experimental validation confirms the stability, robustness, reliability, and reproducibility of TENSA, representing a significant advancement in healthcare technology, offering the potential for improved disease management and prevention strategies.

Mathematical Modeling of Cholera Mitigation Incorporating Handwashing

Cholera is a bacterial infection caused by Vibrio cholerae. This bacterium produces a toxin that leads to severe diarrhea and dehydration. Cholera is often associated with areas with poor sanitation, limited access to clean water and overcrowded conditions. Cholera remains a significant global health concern, with outbreaks occurring frequently in areas with poor sanitation and hygiene practices. This study aims to investigate the role of handwashing in mitigating cholera. considering the key factors such as mode of transmission, incubation period, signs and symptoms, treatment measures, risk factors and the main causes of cholera. The study tends to assess the effectiveness of handwashing as a preventive measure against cholera transmission. The research addresses the critical gap in understanding the specific contribution of handwashing in preventing cholera, considering its complex transmission dynamics. The expected results of this study are an association between increased handwashing and a decrease in cholera occurrence. Results from this study will inform evidence-based strategies for disease prevention and contribute to the broader field of infectious disease prevention modeling. The study seeks to elucidate the dynamics of cholera transmission, considering the interplay between susceptible, infectious and recovered population. Analysis of the model shows that there exists a region where the model is mathematically and epidemiologically well posed because its solutions were positive and bounded. Computation of the basic reproduction number, was done using the next generation matrix approach. It was determined that when R0 < 1, cholera does not spread. Stability analysis of the cholera model showed that the disease free equilibrium is both locally and globally asymptotically stable. Ideally, this means that keeping R0 < 1 is a possible strategy for curbing the spread of the disease. Analysis of the endemic equilibrium shows its existence when R0 > 1. Furthermore, the endemic equilibrium is also locally asymptotically stable. This shows that when R0 > 1, the disease persists and spreads in the population. Numerical simulation was done using MATLAB software to show the effectiveness of handwashing on cholera mitigation.

Evaluation of the impact of a 20-week exercise referral scheme on Mauritian adults diagnosed with non-communicable diseases

AbstractThe escalating prevalence of non-communicable diseases (NCD) presents a concern in Mauritius. These diseases, caused by many factors, reflect the social, economic and environmental conditions within which people live and work. Type 2 diabetes mellitus, hypertension and obesity are the most prevalent among Mauritian adults. Within the framework of a comprehensive systems approach aiming at addressing the social determinants of health, there is a need for customised strategies for both management and prevention of non-communicable diseases. One such example is exercise referral. Exercise referral schemes (ERS) represent an emerging tool for helping people become more physically active and healthier. Evidence of their effectiveness is equivocal and lacks contextual insight into their value in a Mauritian context. Hence, this study serves to bridge this gap. We report the outcomes of a 20-week ERS. Two hundred sixty consenting adults recruited from Area Health Centres (AHC) and Mediclinic’s around Mauritius were assigned to one of two groups: intervention group (ERS + guidance and support by exercise referral consultant) or control group (exercise ‘advice’ from a general practitioner). Body mass index (BMI), grip strength, waist circumference, fasting blood sugar (FBS), HbA1c, lipid profile and blood pressure were measured at week 0, 10 and 20. This quasi-experimental longitudinal study successfully demonstrated improvements in parameters associated with risk factors for coronary heart disease, particularly among women in the intervention group. Significant reductions in weight, waist circumference, FBS and BMI at week 10 and 20 were noted. A less pronounced decline in parameters was observed in men, except for waist circumference, which reached near significance (p = 0.076). Using female participants as a primary focal point, this study supports the notion of exercise referral as part of a holistic treatment plan to control NCDs. We advocate future ERS initiatives prioritise a patient-centred comprehensive approach in design and implementation to ensure successful outcomes.

Overview of crosstalk between stromal and epithelial cells in the pathogenesis of adenomyosis and shared features with deep endometriotic nodules.

Since the first description of adenomyosis more than 150 years ago, multiple hypotheses have attempted to explain its pathogenesis. Indeed, research over recent years has greatly enhanced our knowledge of the underlying causes. This has opened up avenues for the development of strategies for both disease prevention and treatment of its main symptoms, such as pelvic pain, heavy menstrual bleeding, and infertility. However, the current means are still largely ineffective, so it is vital that we shed light on the pathways involved. Dysregulated mechanisms and aberrant protein expression have been identified as contributing factors in interactions between endometrial epithelial and stromal cells, ultimately leading to the growth of adenomyotic lesions. These include collective cell migration, epithelial-to-mesenchymal transition, hormonal influence, and signaling from non-coding RNAs and extracellular vesicles. We provide a concise summary of the latest insights into the crosstalk between glands and stroma in ectopic adenomyotic lesion formation. While there is an abundance of literature on similarities between adenomyosis and deep endometriosis, there are insufficient data on the cytochemical, molecular, and pathogenetic mechanisms of these two disorders. However, various shared features, including alterations of cell adhesion molecules, abnormal hormone regulation, and the presence of cancer-driving mutations and epigenetic modifications, have been identified. Nevertheless, the pathogenic mechanisms that contribute to the cause and development of these enigmatic diseases have not been fully elucidated yet.

Prescribing antibiotics for children with dengue infection in Taiwan: who are at risk and who are high prescribers?

Inappropriate antibiotic use contributes to antimicrobial resistance, a global public health threat. The non-specific manifestations of dengue, itself a growing public health threat, lead to avoidable empiric antibiotic prescription, particularly in children. In this national pooled population-based cross-sectional study, we evaluated child and physician characteristics associated with antibiotics prescription in confirmed dengue cases in Taiwan. Linking national health care insurance claims and reports of confirmed dengue cases from 2008 to 2015, there were 7086 children with confirmed dengue with 21 744 outpatient visits and 2520 inpatient admissions. We assessed the presence of antibiotic prescription in outpatient and inpatient settings separately a week before or after the confirmation date. Logistic regression models with generalized estimating equations were applied to identify patient, practitioner, and other factors associated with antibiotic prescription. A total of 29.4% of children <18 years old with dengue who did not have a concomitant bacterial infection were prescribed antibiotics during the 14-day assessment period. Antibiotics prescription was reduced from 13.5% to 6.3% and from 43.2% to 19.3% in outpatient and inpatient settings, respectively, after dengue was confirmed. Young children were more likely to receive antibiotics. Significant variations in antibiotic prescribing across physicians were observed only in outpatient settings: physicians ≥60 years old and physicians practicing at clinics and in non-urban facilities were more likely to prescribe antibiotics. Antibiotics were less likely to be prescribed during an exceptional 2-year epidemic than in other years. Antibiotic prescribing for dengue, an arboviral infection affecting half of the global population, was shown to occur in 29% of paediatric cases in Taiwan. That potentially avoidable antibiotic consumption could be reduced by improving antibiotic stewardship, informed by understanding the conditions under which antibiotics are prescribed and the availability of prevention strategies for viral diseases, including dengue. We identified a number of such factors in this national population-based study.

Highly diverse RNA viruses and phage sequences concealed within birds.

The diversity of birds in most parts of the world is very high, and thus, they may carry different types of highly differentiated and unknown viruses. Thanks to advanced sequencing technologies, studies on the diversity of bird-associated viruses have increased over the past few years. In this study, a large-scale viral metagenomics survey was performed on cloacal swabs of 2,990 birds from nine provinces of the Chinese mainland. To detect undescribed RNA viruses in birds, more than 1,800 sequences sharing relatively low (<60%) amino acid sequence identity with the best match in the GenBank database were screened. Potentially novel viruses related to vertebrates have been identified, and several potential recombination signals were found. Additionally, hundreds of RNA viral sequences related to plants, fungi, and insects were detected, including previously unknown viruses. Furthermore, we investigated the novelty, functionality, and classification of the phages examined in this study. These viruses occupied topological positions on the evolutionary trees to a certain extent and might form novel putative families, genera, or species, thus providing information to fill the phylogenetic gaps of related viruses. These findings provided new insights into bird-associated viruses, but the interactions among these viruses remain unknown and require further investigation.IMPORTANCEStudying the diversity of RNA viruses in birds and mammals is crucial due to their potential impact on human health and the global ecosystem. Many RNA viruses, such as influenza and coronaviruses, have been shown to cross the species barrier and cause zoonotic diseases. In this metagenomics study involving 2,990 birds from at least 82 species, we identified over 1,800 RNA sequences with distant relationships to known viruses, some of which are rare in birds. The study highlights the scope and diversity of RNA viruses in birds, providing data to predict disease risks and monitor potential viral threats to wildlife, livestock, and human health. This information can aid in the development of strategies for disease prevention and control.

Viral pathogens in domestic cats in southern Italy: A retrospective analysis in Sicily, 2020–2022

A retrospective study was carried out on selected feline viral pathogens detected in domestic cat in Sicily, southern Italy. Samples from 64 cats, collected from 2020 to 2022, were analysed for the presence of feline panleukopenia virus, canine parvovirus type 2 (CPV-2), feline coronavirus (FCoV), feline calicivirus (FCV), feline herpesvirus type 1, norovirus (NoV), and rotavirus (RoV). Single (45 %) or mixed (38 %) viral infections were detected. FPV, related with other Italian FPV strains, remains the main viral cause of infection (66 %). CPV-2c Asian lineage strains (3 %) were detected for the first time in domestic cats in Europe. FCoV (29.6 %), either enteric or systemic, and systemic FCV (18.7 %) infections were detected in positive cats. Less commonly reported viruses (GIV.2/GVI.2 NoVs, RoV), potentially related to the animal/human interface, were detected at lower rates as well (5 %). The present epidemiological data suggest the need to improve disease prevention, immunization, and biosecurity strategies.