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Since its initial report in the Philippines in 1981, ice-ice disease (IID) remains a substantial threat to the sustainability of eucheumatoid seaweed production. However, comprehensive investigations into the prevalence, intensity, and potential relationships with physicochemical and meteorological parameters are limited, particularly in open-sea farms. This is the first study to conduct a 12-month monitoring of IID prevalence and intensity in eucheumatoid seaweed farms in Tawi-Tawi, Philippines. The research aimed to elucidate seasonal variations and potential associations with physicochemical and meteorological parameters. The findings revealed significant seasonal variations in IID prevalence, with a higher incidence observed during the dry season compared to the wet season. Additionally, deep-water farms exhibited significantly higher prevalence and ice-ice spot numbers per bundle compared to shallow-water farms. Furthermore, Kappaphycus striatus displayed a significantly greater ice-ice spot length per bundle compared to K. alvarezii. Notably, no interaction effects were observed among season, species, and depth. Interestingly, while no correlations were found between ice-ice disease and most measured physicochemical and meteorological parameters (temperature, salinity, pH, water current velocity, wind speed) or nutrient concentrations (phosphate, nitrate, nitrite), an inverse correlation (p < 0.05) emerged between ammonium levels and IID intensity parameters (number and length of ice-ice spot per bundle). Moreover, a positive correlation was observed between monthly rainfall and IID intensity. These findings offer valuable insights into the dynamics of IID in open-sea eucheumatoid seaweed (Kappaphycus) farming, highlighting the influence of seasonality, depth, and species susceptibility, as well as the relationship between IID severity and ammonium levels and rainfall.

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Migrasomes are organelles produced by migrating cells that form on retraction fibers and are released during cell migration. Migrasomes are involved in physiological and pathological processes such as intercellular communication, cell homeostasis maintenance, signal transduction, disease occurrence and development, and cancer metastasis. In addition, methods and techniques for studying migrasomes are constantly evolving. Here, we review the discovery, formation process, regulation, and known functions of migrasomes, summarize the commonly used specific markers of migrasomes, and the methods for observing migrasomes. Meanwhile, this review also discusses the potential applications of migrasomes in physiological processes, disease diagnosis, treatment, and prognosis, and looks forward to their wider application in biomedicine. In addition, the study of migrasomes will also reveal a new perspective on the mechanism of intercellular communication and promote the further development of life science.

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PDCoV, an enveloped RNA virus, causes atrophic enteritis in neonatal piglets, leading to diarrhea, malabsorption, dehydration, and death. The study aims to fill the gap in the current epidemiological information about PDCoV in the U.S. pig population after its emergence in 2014. Data from the Morrison Swine Health Monitoring Project (MSHMP) between January 2015 and December 2023 were analyzed, representing approximately 60% of the U.S. breeding herd. Participating herds report weekly PDCoV health status. In total, 244 PDCoV outbreaks occurred in 186 sites from 22 production systems across 16 states. Case counts peaked during winter, and incidence ranged from 0.44% in 2017 to 4.28% in 2023. For sites that experienced more than one PDCoV outbreak during the study period, the interval between outbreaks was a median of 2.11 years. The South and Midwest regions reported the majority of cases. In 2017, a shift in the spatial distribution of cases from the Midwest to the South was observed. The findings underscore the importance of continued monitoring and strengthened control measures to mitigate the impact of PDCoV in U.S. breeding herds.

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Febrile seizures (FSs) are convulsions caused by a sudden increase in body temperature during a fever. FSs are one of the commonest presentations in young children, occurring in up to 4% of children between the ages of about 6 months and 5 years old. FSs not only endanger children's health, cause panic and anxiety to families, but also have many adverse consequences. Both clinical and animal studies show that FSs have detrimental effects on neurodevelopment, that cause attention deficit hyperactivity disorder (ADHD), increased susceptibility to epilepsy, hippocampal sclerosis and cognitive decline during adulthood. However, the mechanisms of FSs in developmental abnormalities and disease occurrence during adulthood have not been determined. This article provides an overview of the association of FSs with neurodevelopmental outcomes, outlining both the underlying mechanisms and the possible appropriate clinical biomarkers, from histological changes to cellular molecular mechanisms. The hippocampus is the brain region most significantly altered after FSs, but the motor cortex and subcortical white matter may also be involved in the development disorders induced by FSs. The occurrence of multiple diseases after FSs may share common mechanisms, and the long-term role of inflammation and γ-aminobutyric acid (GABA) system are currently well studied.

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OBJECTIVE: The incidence and prevalence of JIA was last estimated in the UK in 1994. Since then the disease has been reclassified, the specialty of paediatric rheumatology has evolved and there has been a significant shift in disease management with new advanced therapies. This study aimed to provide up-to-date national estimates of this disease. METHODS: Children and young people (CYP) with JIA were identified in the Clinical Practice Research Datalink (CPRD) GOLD and Aurum databases, which source data from the two most commonly used primary care electronic health record systems in the UK. These databases were combined and the cohort was identified (2000-18) using predefined code lists. Validation was performed through linkage to the England Hospital Episode Statistics. Annual incidence and prevalence rates were calculated and stratified by gender, age group and nation of the UK. Direct standardization to the UK population was performed and 5 year incidence rates were calculated between 2003 and 2018. RESULTS: The age-standardized incidence rate was 5.61 per 100 000 population. The age-standardized prevalence rate in 2018 was 43.5 per 100 000. Rates were higher in Scotland compared with England: incidence rate ratio 1.27 (95% CI 1.11, 1.46). The 5 year incidence rates did not change significantly over time. CONCLUSIONS: This study has provided the first contemporaneous estimates of occurrence of JIA in the UK in 25 years. These data provide important estimates to inform resource allocation and health service development for management of JIA.

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For a long time, various epidemics, such as lower respiratory infections and diarrheal diseases, have caused serious social losses and costs. Various methods for analyzing infectious disease occurrences have been proposed for effective prevention and proactive response to reduce such losses and costs. However, the results of the occurrence analyses were limited because numerous factors affect the outbreak of infectious diseases and there are complex interactions between these factors. To alleviate this limitation, we propose a cluster-based analysis scheme of infectious disease occurrences that can discover commonalities or differences between clusters by grouping elements with similar occurrence patterns. To do this, we collect and preprocess infectious disease occurrence data according to time, region, and disease. Then, we construct a tensor for the data and apply Tucker decomposition to extract latent features in the dimensions of time, region, and disease. Based on these latent features, we conduct k-means clustering and analyze the results for each dimension. To demonstrate the effectiveness of this scheme, we conduct a case study on data from South Korea and report some of the results.

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OBJECTIVE: To evaluate the effect of cholecystectomy on the occurrence of knee osteoarthritis (KOA). METHODS: The present study was a case-control study with a retrospective, cross-sectional, and longitudinal study design. The clinical data for knee osteoarthritis in the Second Hospital of Shanxi Medical University from January 2016 to September 2018 was analyzed. Clinical data, including gender, age, height, weight, smoking, alcohol abuse, prior medical history, and previous surgical history, were recorded. A logistic regression model was used for the univariate and multivariate analysis. RESULTS: A total of 1659 patients with KOA (KOA group) and 1195 limb fracture patients (control group) were included in this study. Among the 1659 patients with KOA, 388 patients were male and 1271 were female, while among the 1195 patients in the control group, 638 patients were male and 557 patients were female. The period between cholecystectomy and knee osteoarthritis onset ranged from 0.5 years to 17 years; the average interval time was 8.73 ± 2.11 years. The age at disease onset was significantly older when compared to the control group, while the body mass index in the KOA group was significantly higher when compared to the control group (P < 0.05). There were 97 patients undergoing cholecystectomy in the KOA group and there were 15 patients undergoing cholecystectomy in the control group. The proportion of cholecystectomy in the two groups was statistically significant. After the univariate analysis, there was a statistically significant difference in distribution between the two groups (P < 0.05). The multivariate logistic regression analysis revealed that there was a significant difference in the distribution of these two groups (P < 0.05), indicating that cholecystectomy is associated with the occurrence of KOA. CONCLUSION: There is a close relationship between cholecystectomy and KOA. However, the specific mechanism remains unknown and should be further researched.

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The complex transmission ecologies of vector-borne and zoonotic diseases pose challenges to their control, especially in changing landscapes. Human incidence of zoonotic malaria ( Plasmodium knowlesi) is associated with deforestation although mechanisms are unknown. Here, a novel application of a method for predicting disease occurrence that combines machine learning and statistics is used to identify the key spatial scales that define the relationship between zoonotic malaria cases and environmental change. Using data from satellite imagery, a case-control study, and a cross-sectional survey, predictive models of household-level occurrence of P. knowlesi were fitted with 16 variables summarized at 11 spatial scales simultaneously. The method identified a strong and well-defined peak of predictive influence of the proportion of cleared land within 1 km of households on P. knowlesi occurrence. Aspect (1 and 2 km), slope (0.5 km) and canopy regrowth (0.5 km) were important at small scales. By contrast, fragmentation of deforested areas influenced P. knowlesi occurrence probability most strongly at large scales (4 and 5 km). The identification of these spatial scales narrows the field of plausible mechanisms that connect land use change and P. knowlesi, allowing for the refinement of disease occurrence predictions and the design of spatially-targeted interventions.

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OBJECTIVE: To examine whether baseline depression predicts subsequent peptic ulcer disease (PUD) in older people living alone and whether social engagement plays a role in such an association. METHODS: Between May 2010 and May 2015, 2, 850 older people living alone were recruited from eight Grade-A hospitals in the People's Republic of China and followed for up to 36 months. The Kaplan-Meier method was used to investigate how the incidence of PUD varied with depression and social engagement status. Multivariate Cox proportional hazards models were estimated to examine the association between depression and incidence of PUD and assess the role of social engagement in this relationship. RESULTS: Kaplan-Meier curves indicated that the 36-month cumulative incidence of PUD was higher in depressed (10.1%) than non-depressed participants (5.3%). However, among the depressed participants, increased or continued social engagement reduced the incidence to 6.2% and 7.9%, respectively. Multivariate analyses showed that baseline depression was associated with subsequent PUD development (hazard ratio [HR] = 2.520, 95% confidence interval [CI]: 1.525-3.356). The incidence of PUD was similar in non-depressed and depressed participants who reported increased (HR = 1.956, 95% CI: 0.913-3.374) or continued social engagement (HR = 1.827, 95% CI: 0.918-3.690) during the follow-up period. However, depressed participants who reported decreased (HR = 2.485, 95% CI: 1.459-3.295) or no social engagement (HR = 2.896, 95% CI: 1.817-4.228) were more likely to develop PUD than those without depression. CONCLUSIONS: Baseline depression was associated with subsequent incidence of PUD, but this association appears to be reduced by increased or continued social engagement.

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This study investigated the changes in metabolisms of membrane lipids and phenolics caused by Phomopsis longanae Chi infection in association with pericarp browning and fruit disease occurrence of postharvest longans. Compared with the uninoculated-longans, the longans inoculated by P. longanae exhibited higher cellular membrane permeability; higher PLD, lipase, and LOX activities; and higher levels of saturated fatty acids (SFAs) and phosphatidic acid but lower levels of phosphatidylinositol, phosphatidylcholine, and unsaturated fatty acids (USFAs). Additionally, the longans inoculated by P. longanae showed higher activities of POD and PPO but a lower amount of total phenolics. These findings suggested that infection of P. longanae enhanced activities of PLD-, lipase-, and LOX- stimulated degradations of membrane lipids and USFAs, which destroyed the integrity of the cell membrane structure, resulting in enzymatic browning by contact of phenolics with POD and PPO, and resulting in reduction of resistance to pathogen infection and accordingly accelerated disease occurrence of postharvest longan fruit.

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RESUMO Objetivo: Observar a frequência de ocorrência das afecções que acometem os anexos oculares e o olho externo, assim como descrever o perfil demográfico dos portadores, na região centro oeste do estado de São Paulo. Métodos: Estudo prospectivo, populacional e aleatorizado, no qual foram avaliadas 11.000 pessoas da região centro-oeste do Estado de São Paulo, nos anos de 2004/2005, por meio de consultas oftalmológicas e utilizando uma unidade móvel. Foi realizado exame oftalmológico completo. Os dados foram transferidos para tabela Excel, utilizando-se para o presente estudo dados referentes aos anexos e doenças do olho externo. A frequência de ocorrência dos problemas detectados foi analisada estatisticamente. Resultados: Foram detectadas 1.581 (14,6%) afecções de anexos ou do olho externo, sendo as mais frequentes o pterígio (9,4%), o hordéolo (0,8%) e as alterações do posicionamento palpebral (1,7%) (ectrópio, ptose e triquíase). Trauma, ectrópio e pterígio foram estatisticamente mais frequentes na população masculina. Conclusão: Das afecções pesquisadas, a de maior ocorrência na população foi o pterígio, seguido das alterações inflamatórias e do posicionamento palpebral.

ABSTRACT Purpose: To observe the frequency of occurrence of affections involving the adnexa or the external eye, as well as to describe the demographic profile of patients. Methods: A prospective, population based, randomized study was done in the Midwest region of the state of São Paulo, in the years 2004/2005. Using a Mobile Ophthalmic Unit we evaluated 11,000 people. A comprehensive eye exam was performed. Data were transferred to excel table and for this study we used information relating to annexes and external eye diseases. The frequency of occurrence of the problems detected was statistically analyzed. Results: We identified 1,581(14.4%) disorders in the adnexa or in the external eye. The most common disorders were pterygium (9.4%), hordeolum (0.8%) and changes in eyelid position (1.7%) (ectropion, ptosis and trichiasis). Trauma, ectropion and pterygium were statistically more frequent in the male population. Conclusion: Of the surveyed disorders the most frequent in the population was pterygium, followed by inflammatory changes and alterations in the eyelid position.

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O artigo pretende fazer uma discussão sobre asmedidas clássicas de avaliação de risco e as propostasutilizando a teoria de conjuntos fuzzy. A imprecisão, aincerteza e os termos vagos são recorrentes nas definiçõese tratamento de eventos na área de saúde e sãocaracterísticas próprias dos fenômenos nesta área. Osestudos epidemiológicos, entretanto, frequentemente não têmponderado essas incertezas, e as medidas de riscoclassicamente propostas dicotomizam os sujeitos e osfenômenos, quando na prática os limites entre essas divisõesnão são tão precisos o quanto são tratados. Material eMétodos: A teoria dos conjuntos fuzzy pode ser útil notratamento das incertezas nos eventos humanos e mostrasecomo uma teoria de aplicação promissora nas pesquisasepidemiológicas. As medidas de risco fuzzy já foramformalizadas, necessitando o seu uso em casos reais.Conclusão: A teoria de conjuntos fuzzy pode contribuir notratamento das incertezas e subjetividades próprias dosfenômenos epidemiológicos. Este artigo pretende contribuircom a discussão sobre medidas de risco fuzzy. A suautilização permitirá a classificação dos sujeitos e eventosem conjuntos de limites mais flexíveis, contribuindo nadivulgação da parceria promissora que se pode ter entre ateoria fuzzy e a epidemiologia...

This paper aims to discuss the classical measuresof risk assessment and proposals by means of the fuzzysets theory. The vagueness, uncertainty and vague termsare recurring in the definitions and treatment of events inhealthcare and are typical characteristics of the phenomenain such an area. Epidemiological studies have not oftenweighted these uncertainties tough, and risk measuresclassically proposed dichotomize the subjects andphenomena, when in practice the boundaries between thesedivisions are not as much accurate as they are treated.Method: The fuzzy sets theory can be useful in the treatmentof uncertainties in human events and shows up as a theoryof promising application in epidemiologic research. The fuzzyrisk measures have been formalized, requiring their use inreal cases. Conclusion: The fuzzy sets theory may contributeto the treatment of uncertainty and subjectivity inherent toepidemiological phenomena. This article aims to contribute tothe discussion of fuzzy risk measures. Their use will allowthe classification of subjects and events in sets of moreflexible limits, contributing to the dissemination of promisingpartnership that may arise between the fuzzy theory andepidemiology...

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