17 research outputs found

    EXPRESSÃO IMUNOISTOQUÍMICA DAS PROTEÍNAS CICLINA D1 E c-MYC EM MENINGIOMAS INTRACRANIANOS

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    Background: Intracranial meningioma is the most frequent tumor of the central nervous system and immunohistochemical markers are important to aid in targeted therapy and prognosis. Objective: To evaluate the expression of cyclin D1 and c-MYC markers in intracranial meningiomas and to correlate it with the aggressiveness and recurrence of these tumors. Method: Retrospective, observational, cross-sectional study using data from the medical records of patients diagnosed with intracranial meningioma who were hospitalized and underwent surgical resection. Epidemiological, clinical and radiological data were collected and recorded. Immunohistochemistry for cyclin D1 and cMYC markers was performed on all samples. The data regarding the histological grade of the tumors were crossed with the result obtained by immunostaining. Results: 51 patients were included (72.5% women and 27.5% men) with a mean age of 53.5 years. Headache was the most common symptom and tumors located at the base of the skull accounted for 53% of cases. Grade I meningiomas were detected in 58.8%, grade II in 29.4% and grade III in 9.8%. Tumor recurrence was observed in two cases (3.9%) and disease-free patients corresponded to 49%. The mean follow-up time was 798 days (13-2267). Cyclin D1 was identified in 100% of meningiomas and the intensity of its expression was weak in 52.4% of grade I lesions, moderate in 50% of grade II tumors and strong in 100% of grade III tumors (p<0.001). c-MYC was identified in 17.7% (4.7% grade I, 66.7% grade II and 100% grade III) and its expression was weak in 50% in grade II and moderate in 100% in grade III (p<0.001). The presence of markers had no statistically significant relationship with patient outcomes. Conclusion: Cyclin D1 was expressed in all samples of meningiomas and the c-MYC was expressed in 18% of cases. The higher the histological grade, the more intense was the expression of the markers. There was no evidence of a relationship between the markers and tumor recurrence.Racional: Meningioma intracraniano é o tumor mais frequente do sistema nervoso central e marcadores imunoistoquímicos são importantes para auxiliar na terapia alvo e prognóstico. Objetivo: Avaliar a expressão dos marcadores ciclina D1 e c-MYC em meningiomas intracranianos e correlacioná-la com a agressividade e recorrência desses tumores. Método: Estudo retrospectivo, observacional, transversal utilizando dados dos prontuários de pacientes com diagnóstico de meningioma intracraniano que foram internados e submetidos à ressecção cirúrgica. Os dados epidemiológicos, clínicos e radiológicos foram coletados e anotados. Foi realizada imunoistoquímica para os marcadores ciclina D1 e c-MYC em todas as amostras. Os dados referentes ao grau histológico dos tumores foram cruzados com o resultado obtido pela imunomarcação. Resultados: Foram incluídos 51 pacientes (72,5% mulheres e 27,5% homens) com média de 53,5 anos. Cefaleia foi o sintoma mais comum e tumores localizados na base do crânio representaram 53% dos casos. Meningiomas grau I foram detectados em 58,8%, grau II em 29,4% e grau III em 9,8%. Recidiva tumoral foi observada em dois casos (3,9%) e pacientes livres de doença corresponderam a 49%. A média do tempo de seguimento foi de 798 dias (13-2267). A ciclina D1 foi identificada em 100% dos meningiomas e a intensidade de sua expressão foi fraca em 52,4% das lesões grau I, moderada em 50% 2 dos tumores grau II e forte em 100% dos tumores grau III (p<0,001). c-MYC foi identificado em 17,7% (4,7% grau I, 66,7% grau II e 100% grau III) e sua expressão foi fraca em 50% no grau II e moderada em 100% do grau III (p<0,001). A presença dos marcadores não teve relação estatisticamente significativa com o desfecho dos pacientes. Conclusão: A ciclina D1 apresentou expressão em todas as amostras de meningiomas e o marcador cMYC em 18% dos casos. Quanto maior o grau histológico mais intensa foi a expressão dos marcadores. Não se evidenciou relação dos marcadores com a recorrência tumoral

    Características do uso do bisturi elétrico na periodontia: Revisão integrativa

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    Objective: To gather information on the use of electric scalpels in dentistry, with a greater focus on periodontics. Methods: The proposed study is a narrative literature review. The results were obtained by reading articles, abstracts and case reports from 2010 to 2022, available in the Scielo, Pubmed, Virtual Health Library (BVS), Acervo+ Index base and LILACS databases. Providing a review of the most current information on the subject. Results: Electrosurgery (ES) is the term used in healthcare to describe the surgical technique of cutting and coagulating tissues using high-frequency electric current. In the field of periodontics, this technique is employed through the use of an electric scalpel. It provides professionals in the field with improved precision and control during periodontal procedures, contributing to better clinical and aesthetic results. Final considerations: In this way, the electric scalpel appears to be advantageous in periodontal surgical practice, although it requires prior training for professionals in order to be used correctly. Objetivo: Fazer o levantamento de informações sobre o uso do bisturi elétrico na odontologia com maior enfoque na periodontia. Métodos: O trabalho proposto trata-se de uma revisão integrativa da literatura, os resultados obtidos foram através da leitura de artigos, resumos e relatos de casos, no período de tempo de 2010 a 2022, disponíveis nas bases de dados Scielo, Pubmed, Biblioteca Virtual em Saúde (BVS), Acervo+ Index base e LILACS. Proporcionando uma revisão das informações mais atuais sobre o tema. Resultados: A eletrocirurgia (EC) consiste no termo utilizado na área da saúde para descrever a técnica cirúrgica de corte e coagulação dos tecidos através de corrente elétrica de alta frequência. Na área da periodontia, essa técnica é empregada por meio do uso de um bisturi elétrico. O mesmo proporciona aos profissionais da área uma precisão e controle aprimorados durante os procedimentos periodontais, contribuindo para melhores resultados clínicos e estéticos. Considerações finais: Desta forma, o bisturi elétrico parece se mostrar vantajoso na prática cirúrgica periodontal, porém demanda treinamento prévio dos profissionais para sua correta utilização. &nbsp

    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

    Updated cardiovascular prevention guideline of the Brazilian Society of Cardiology: 2019

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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 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

    Pervasive gaps in Amazonian ecological research

    Get PDF
    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

    Parâmetros genéticos para características de crescimento e reprodução de bovinos da raça Canchim

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    O objetivo deste trabalho foi estimar parâmetros genéticos para idades ao primeiro (IPP) e segundo partos (ISP), idades ao primeiro (IPP PEN) e segundo partos penalizadas (ISP PEN), e a ocorrência de parto até os 38 meses de idade (PP38), em bovinos da raça Canchim, bem como estimar as relações genéticas entre essas características e o peso (PE420) de machos e femêas e a circunferência escrotal (CE420) de novilhos, medidos aos 420 dias de idade. Foram estimados parâmetros genéticos em análises bicaracterísticas, por meio de inferência bayesiana. As análises foram realizadas entre CE420 e PE420 e as características reprodutivas medidas em fêmeas. As características reprodutivas das fêmeas devem apresentar baixa resposta à seleção, e mudanças no manejo e nas condições ambientais melhoram tais características. A seleção quanto ao maior peso aos 420 dias de idade não deve provocar mudanças nas características reprodutivas em fêmeas, enquanto a seleção para o aumento da circunferência escrotal, na mesma idade, contribui para melhorar tais características.The objective of this work was to estimate genetic parameters for age at first (AFC) and at second (ASC) calvings, penalized age at first (AFC PEN) and at second (ASC PEN) calvings, and occurrence of calving until 38 months of age (PP38) in Canchim breed, as well as to estimate the genetic correlations between these traits with weight (PE420) of males and females, and scrotal circumference (CE420) measured at 420 days of age. Genetic parameters were estimated by two-trait analyses using the Bayesian inference. The analyses were performed between CE420 and PE420, and the reproductive traits measured in the females. The female reproductive traits should show low response to selection, and changes in the management and environmental conditions improve these traits. Selection for the higher weight at 420 days of age does not change female reproductive traits, while selection to increase scrotal circumference, at the same age, contributes to improve such traits
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