57 research outputs found

    An analysis of the impact of the Schistosomiasis Control Programme in Brazil

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    The impact of the Schistosomiasis Control Programme (PCE) in Brazil was analyzed, covering the period 1976 to 2003, using the following indicators: percentage of Schistosoma mansoni carriers detected among the population examined in the coproscopic surveys (PPS): mortality rate for schistosomiasis, per 100,000 inhabitants (TME): hospitalization rate for schistosomiasis, per 100,000 inhabitants (TIE): average age of deaths caused by schistosomiasis (IMOE). There was a 38.5% reduction in the PPS after the introduction of the PCE, attributed to the treatment of carriers. Even in hyper-endemic municipalities, such as Conde and Cuitegí, in the state of Paraíba, the PPS fell more than 50% after the first year of treatment. The parasitic burden of the carriers also decreased in the two municipalities. The TME was reduced by 63.4% and the TIE by 77.3%. The mortality rate was highest among the 50- and-above age group. The country´s IMOE rose 32.3%. The IMOE was seen to be much lower in the state of Minas Gerais, where the PCE was only initiated in 1983, with very limited coverage

    Phenotypic Features of Circulating Leukocytes from Non-human Primates Naturally Infected with Trypanosoma cruzi Resemble the Major Immunological Findings Observed in Human Chagas Disease

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    Background: Cynomolgus macaques (Macaca fascicularis) represent a feasible model for research on Chagas disease since natural T. cruzi infection in these primates leads to clinical outcomes similar to those observed in humans. However, it is still unknown whether these clinical similarities are accompanied by equivalent immunological characteristics in the two species. We have performed a detailed immunophenotypic analysis of circulating leukocytes together with systems biology approaches from 15 cynomolgus macaques naturally infected with T. cruzi (CH) presenting the chronic phase of Chagas disease to identify biomarkers that might be useful for clinical investigations. Methods and findings: Our data established that CH displayed increased expression of CD32+ and CD56+ in monocytes and enhanced frequency of NK Granzyme A+ cells as compared to non-infected controls (NI). Moreover, higher expression of CD54 and HLA-DR by T-cells, especially within the CD8+ subset, was the hallmark of CH. A high level of expression of Granzyme A and Perforin underscored the enhanced cytotoxicity-linked pattern of CD8+ T-lymphocytes from CH. Increased frequency of B-cells with up-regulated expression of Fc-γRII was also observed in CH. Complex and imbricate biomarker networks demonstrated that CH showed a shift towards cross-talk among cells of the adaptive immune system. Systems biology analysis further established monocytes and NK-cell phenotypes and the T-cell activation status, along with the Granzyme A expression by CD8+ T-cells, as the most reliable biomarkers of potential use for clinical applications. Conclusions: Altogether, these findings demonstrated that the similarities in phenotypic features of circulating leukocytes observed in cynomolgus macaques and humans infected with T. cruzi further supports the use of these monkeys in preclinical toxicology and pharmacology studies applied to development and testing of new drugs for Chagas disease

    Registros nacionais de anomalias congênitas no mundo: aspectos históricos e operacionais

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    Objective: To identify registries of congenital anomalies with national coverage existing around the world, highlighting its main historical and operational characteristics. Methods: Document review of literature on the Medline/Pubmed database and data from reports, official documents and websites. Works relating at least one national register were included. Results: 40 national registries of congenital anomalies were identified in 39 different countries. All registries included in the study were located in high- or uppermiddle-income countries, with a concentration in Europe. Most of the registries were population-based, with mandatory notification and time limit of notification of up to one year of age. The Brazilian registry presented the highest annual coverage. Conclusion: The registries discussed here presented different characteristics, which were related to the reality of each country. The presented results provide subsidies for surveillance of congenital anomalies, especially in places that wish to implement such an activity.Objetivo: Identificar registros de anomalias congênitas com cobertura nacional existentes no mundo, destacando suas principais características históricas e operacionais. Métodos: Revisão documental, mediante busca na base Medline/Pubmed e consulta a dados provenientes de relatórios, documentos oficiais e sítios eletrônicos. Foram incluídos trabalhos com relato de pelo menos um registro nacional. Resultados: Identificou-se 40 registros nacionais de anomalias congênitas em 39 países diferentes. Todos os registros incluídos no estudo localizavam-se em países de renda alta ou média superior, com concentração na Europa. A maior parte dos registros foi de base populacional, de notificação compulsória e com tempo limite para notificação de até um ano de idade. O registro brasileiro apresentou a maior cobertura anual. Conclusão: Os registros discutidos apresentaram características diversas, relacionadas à realidade de cada país. Os resultados apresentados fornecem subsídios para a temática da vigilância das anomalias congênitas, sobretudo em locais onde se deseja implementar tal atividade

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio
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