Perfil epidemiológico das internações por doença meningocócica C no Estado de Sergipe / Epidemiological profile of hospitalizations for meningococcal C disease in the state of Sergipe

A doença meningocócica C é causada pela bactéria Neisseria meningitidis e é considerada endêmica no Brasil, apresentando alta morbidade e mortalidade. O sorogrupro C tornou-se o mais prevalente e é associado a um pior prognóstico. A vacina meningocócica C representa a estratégia mais eficaz de combate à doença. Frente a esse cenário, o presente estudo visa avaliar o impacto dessa imunização nas hospitalizações por doença meningocócica no Estado de Sergipe, além de descrever o perfil epidemiológico das internações pela doença em todas as faixas etárias no período pré vacinal (2005 a 2009) e pós vacinal (2017 a 2021). Com o intuito de alcançar o objetivo do estudo, foi realizado um estudo observacional do tipo levantamento documental a partir de dados secundários encontrados nas Imunizações e no Sistema de Informação e Agravos de Notificação Compulsória (SINAN) do Departamento de Informática do SUS (DATASUS).

Pervasive gaps in Amazonian ecological research

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

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding 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,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 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 underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities 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 organism 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 neglected 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 lost

Transtorno do espectro autista e diagnóstico diferencial do atraso de fala na infância: uma revisão da literatura

OBJECTIVE: This article describes the main conditions in the differential diagnosis of speech delay in childhood, with emphasis on the updated diagnostic criteria to differentiate between neurodevelopmental disorders, such as autism spectrum disorders, and other possible conditions. METHODS: This non-systematic review of the literature was performed based on updated diagnostic criteria and definitions. RESULTS: Speech delays are a common symptom in children with neurodevelopmental disorders, often associated with autism spectrum disorders. However, there is a range of conditions in which speech delay is a symptom that must be considered in differential diagnosis, including other neurodevelopmental disorders, hearing loss, and language disorders. CONCLUSION: Pediatricians play an important role in the assessment, investigation, and management of children with speech delays. Therefore, they should be familiar with the expected neurodevelopmental milestones, the warning signs of developmental disorders including language disorders, and the diagnostic criteria for the most prevalent conditions

Influence of heating, protein and glycerol concentrations of film-forming solution on the film properties of Argentine anchovy (Engraulis anchoita) protein isolate

This study was conducted to evaluate the influence of thermal treatment (74, 82, and 90 _C), glycerol (30%, 35%, and 40%, w/w) and protein concentrations (3.0%, 3.5%, and 4.0% w/w) of film-forming solution on the properties of Argentine anchovy (Engraulis anchoita) protein isolate (API) films produced by casting. The API presented 88.8% of proteins, 5.5% moisture, 1.3% lipids, 1.0% ash and 53.3% of polar amino acids. The DSC of protein isolate was observed at maximum temperature of 62.2 _C and DH 6.4 J/g. The thickness, water vapor permeability, color difference and opacity of the films were not affected by the experimental variables studied (p > 0.05). The lowest solubility, elongation, and highest tensile strength of the films occurred at low temperature, low protein and glycerol concentrations (p < 0.05). Micrographs obtained by scanning electron microscopy of the films showed homogeneous surfaces at low temperature

Effects of <i>in ovo</i> injection of bacterial peptides and CpG-ODN on <i>Salmonella enterica</i> serovar Heidelberg infection in specific pathogen-free (SPF) chicks

The increasing prevalence of pathogenic and antimicrobial-resistant isolates of Salmonella Heidelberg (SH) represents a global concern. Consequently, novel strategies for preventing and controlling infections caused by this bacterium are needed. This study aimed to investigate the protective effects of in ovo injection with a formulation based on bacterial peptides, either alone or in combination with oligodeoxynucleotides containing cytosine-phosphodiester-guanine (CpG-ODN), against SH infection in chicks. Genomic data of SH available in public databases were analyzed to select amino acid sequences of structural proteins or those with greater relevance for intestinal colonization. These sequences were subjected to linear epitope prediction tools to identify highly immunogenic peptides. SPF eggs (n = 180) were incubated and injected via the allantoic cavity at day 18 of incubation. Results showed that in ovo injection of peptides + CpG-ODN reduced SH colonization in the caecal content during the first week post-infection, although it did not reduce overall faecal excretion throughout the study. Furthermore, CpG-ODN injection may positively affect intestinal health, as evidenced by reduced crypt depth at 21 dpi and increased villus height at 28 dpi. Levels of secretory IgA did not differ between chicks in any groups, and no detectable SH counts were found in the livers of chicks in any of the infected groups throughout the study. In conclusion, in ovo injection with peptides + CpG-ODN may help reduce caecal colonization by SH in the early stages of infection, but it does not impact total faecal excretion. Additionally, CpG-ODN injection may improve intestinal health parameters in chicks. Peptides + CpG-ODN reduced SH in caeca at the first week post-infection.Administered formulations did not reduce SH-faecal excretion.Levels of intestinal IgA were similar between all groups.CpG-ODN improved some parameters associated with chick intestinal health. Peptides + CpG-ODN reduced SH in caeca at the first week post-infection. Administered formulations did not reduce SH-faecal excretion. Levels of intestinal IgA were similar between all groups. CpG-ODN improved some parameters associated with chick intestinal health.</p

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora