PRÁTICAS DE CIDADANIA NO ALVORECER REPUBLICANO BRASILEIRO: PROCESSO DE ABOLIÇÃO E A ATUAÇÃO DE COELHO NETTO

O presente trabalho busca explorar algumas disputas e dimensões assumidas pela cidadania a partir conjuntura histórica que culminou na consolidação do regime republicano no Brasil. Ressaltando questões apontadas pela historiografia, abordamos, mais especificamente, a abolição do trabalho escravo e a intervenção do literato Coelho Netto no debate acerca da nacionalidade. O processo de superação do escravismo atingia as estratégias e diferenciações sociais mobilizadas pelos atores, deslocando as disputas em torno dos significados da liberdade. Por outro lado, com a relativa ampliação e transformação do espaço público, o nexo intelectuais/povo passou a assumir característica diversa

Measurement of extracapsular extension in sentinel lymph node as a possible predictor of residual axillary disease in breast cancer

Background: The presence of Extracapsular Extension (ECE) in the Sentinel Lymph Node Biopsy (SLNB) is still a doubt in the literature. Some studies suggest that the presence of ECE may be related to a greater number of positive axillary lymph nodes which could impact Disease Free Survival (DFS) and Overall Survival (OS). This study searches for the clinical significance of the ECE. Methods: Retrospective cohort comparing the presence or absence of ECE in T1-2 invasive breast âncer with positive SLNB. All cases treated surgically at the Cancer Institute of the State of São Paulo (ICESP) between 2009 and 2013 were analyzed. All patients with axillary disease in SLNB underwent AD. Outcomes: Identify the association between the presence and length of ECE and additional axillary positive lymph nodes, OS and DFS between both groups. Results: 128 patients with positive SLNB were included, and 65 had ECE. The mean metastasis size of 0.62 (SD = 0.59) mm at SLNB was related to the presence of ECE (p < 0.008). The presence of ECE was related to a higher mean of positive sentinel lymph nodes, 3.9 (± 4.8) vs. 2.0 (± 2.1), p = 0.001. The median length of follow-up was 115 months. The OS and DFS rates had no iferences between the groups. Conclusion: The presence of ECE was associated with additional positive axillary lymph nodes in this study. Therefore, the OS and DFS were similar in both groups after 10 years of follow-up. It is necessary for additional studies to define the importance of AD when SLNB with ECE

Desafios e avanços na antibioticoterapia para exacerbações pulmonares na fibrose cística

A fibrose cística é uma doença genética complexa que afeta a produção de muco e a função pulmonar. Exacerbações pulmonares, muitas vezes provocadas por Pseudomonas aeruginosa, são comuns. O diagnóstico requer testes de suor e genéticos para guiar a terapia antibiótica. Avanços com moduladores CFTR melhoram a função pulmonar, mas desafios como resistência bacteriana persistem. Este estudo busca analisar a antibioticoterapia para exacerbações pulmonares na fibrose cística, com foco em abordagens inovadoras e personalizadas. O estudo, baseado em uma revisão sistemática da literatura científica, abrange o período de 2016 a 2024, utilizando as bases de dados PubMed (Medline), Cochrane Library e Scientific Electronic Library Online (SciELO). No primeiro estudo, sobre adjuvantes antibióticos no tratamento de infecções pulmonares em pacientes com fibrose cística, não houve impacto significativo nas exacerbações pulmonares ou na função respiratória. O KB001-A não alterou o tempo para a próxima administração de antibióticos em comparação ao placebo. Evidências apontam uma possível redução na densidade de Pseudomonas aeruginosa com o KB001-A e reduções em Staphylococcus aureus e quase-Pseudomonas aeruginosa com o óxido nítrico, sem diferenças na qualidade de vida. O segundo estudo, em um modelo suíno de pneumonia por Pseudomonas aeruginosa multirresistente, a terapia inalatória de amicacina combinada com meropenem mostrou maior eficácia bactericida nas secreções traqueais em comparação à monoterapia intravenosa. A administração inalatória não preveniu a disseminação da infecção, mas a amicacina evitou o aumento da concentração inibitória mínima de meropenem, com alta concentração nas amostras sem diferenças entre pulmões infectados e não infectados. No terceiro estudo, O estudo das nanopartículas poliméricas na eliminação de biofilmes bacterianos em cepas resistentes e suscetíveis associadas à fibrose cística mostrou potencial promissor contra bactérias multirresistentes. Os nanoportadores de lipídios demonstraram eficácia terapêutica significativa, ressaltando a necessidade de mais pesquisas para confirmar seu benefício clínico. Em resumo, os adjuvantes antibióticos não impactaram significantemente o tratamento de infecções pulmonares na fibrose cística. A combinação de amicacina e meropenem foi eficaz contra pneumonia por Pseudomonas aeruginosa multirresistente. As nanopartículas poliméricas e nanoportadores de lipídios mostraram potenciais terapêuticos promissores, demandando mais pesquisas para validar seus benefícios clínicos

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

Evidence for Reductive Genome Evolution and Lateral Acquisition of Virulence Functions in Two Corynebacterium pseudotuberculosis Strains

Ruiz JC, D'Afonseca V, Silva A, et al. Evidence for Reductive Genome Evolution and Lateral Acquisition of Virulence Functions in Two Corynebacterium pseudotuberculosis Strains. PLoS ONE. 2011;6(4): e18551.Background: Corynebacterium pseudotuberculosis, a Gram-positive, facultative intracellular pathogen, is the etiologic agent of the disease known as caseous lymphadenitis (CL). CL mainly affects small ruminants, such as goats and sheep; it also causes infections in humans, though rarely. This species is distributed worldwide, but it has the most serious economic impact in Oceania, Africa and South America. Although C. pseudotuberculosis causes major health and productivity problems for livestock, little is known about the molecular basis of its pathogenicity. Methodology and Findings: We characterized two C. pseudotuberculosis genomes (Cp1002, isolated from goats; and CpC231, isolated from sheep). Analysis of the predicted genomes showed high similarity in genomic architecture, gene content and genetic order. When C. pseudotuberculosis was compared with other Corynebacterium species, it became evident that this pathogenic species has lost numerous genes, resulting in one of the smallest genomes in the genus. Other differences that could be part of the adaptation to pathogenicity include a lower GC content, of about 52%, and a reduced gene repertoire. The C. pseudotuberculosis genome also includes seven putative pathogenicity islands, which contain several classical virulence factors, including genes for fimbrial subunits, adhesion factors, iron uptake and secreted toxins. Additionally, all of the virulence factors in the islands have characteristics that indicate horizontal transfer. Conclusions: These particular genome characteristics of C. pseudotuberculosis, as well as its acquired virulence factors in pathogenicity islands, provide evidence of its lifestyle and of the pathogenicity pathways used by this pathogen in the infection process. All genomes cited in this study are available in the NCBI Genbank database (http://www.ncbi.nlm.nih.gov/genbank/) under accession numbers CP001809 and CP001829

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