Leucemia Linfoblástica Aguda (LLA) na população pediátrica: marcadores moleculares e implicações terapêuticas

A Leucemia Linfoblástica Aguda (LLA) é uma forma comum de câncer pediátrico, representando cerca de 80% dos casos de leucemia em crianças. A patologia é caracterizada pela proliferação descontrolada de células-tronco hematopoéticas na medula óssea, e avanços recentes na pesquisa genômica têm proporcionado uma compreensão mais profunda da complexidade molecular subjacente à doença. O presente estudo tem como objetivo oferecer uma visão abrangente dos principais marcadores moleculares e implicações terapêuticas associadas à LLA na população pediátrica. Este estudo, baseado em uma revisão sistemática da literatura científica, abrange o período de 2013 a 2023, utilizando as bases de dados PubMed (Medline), Cochrane Library e Scientific Electronic Library Online (SciELO). Marcadores moleculares preponderantes, como rearranjos cromossômicos específicos (t(12;21), t(1;19), t(9;22)), mutações genéticas distintivas (ETV6-RUNX1, E2A-PBX1, TP53) e amplificação do gene BCR-ABL1, têm sido objeto de estudo aprofundado. Esses marcadores desempenham um papel crucial na estratificação de risco e prognóstico, permitindo uma abordagem mais personalizada no tratamento da LLA em crianças. As implicações terapêuticas derivadas desses marcadores são vastas, destacando a promissora era das terapias direcionadas. Terapias específicas para mutações, como aquelas direcionadas à mutação BCR-ABL1, e inovações em imunoterapia estão moldando o cenário do tratamento da LLA, proporcionando resultados mais eficazes e menos tóxicos. Os resultados destacam a eficácia das terapias direcionadas e a necessidade contínua de pesquisa para otimizar a intervenção terapêutica, melhorar a qualidade de vida dos pacientes pediátricos afetados pela LLA e explorar novas facetas do tratamento. Em conclusão, este artigo fornece uma análise aprofundada dos marcadores moleculares e terapias associadas à LLA na população pediátrica, destacando avanços significativos e delineando áreas para investigação futura

Os principais tipos e manifestações da Cirrose Hepática: uma atualização clínica

Introdução: A cirrose hepática é um processo patológica crônico, considerado a hepatopatia mais comum, definido como a conversão difusa morfoestrutural por nódulos de arquitetura anômalo envoltos por fibrose. Objetivou-se descrever os tipos mais relevantes de cirrose e suas devidas manifestações. Metodologia: Trata-se de uma revisão bibliográfica, fundamentada nas plataformas do SciELO, PubMed, Scopus, utilizando os termos “hepatical cirrhosis”, “liver disease” e “hepatocellular insufficiency” a qual através da revisão narrativa, abordou amplamente a respeito da contextualização da cirrose e as principais etiologias. Resultados e Discussão: Foi analisado que tal condição afeta qualquer faixa etária, sexo, etnia e independe da classe socioeconômica, mas as diversas etiologias impõem um perfil epidemiológico específico conforme a aparição. As principais origens abordam o tipo alcoólico, hepatite, aplicação crônica de alguns fármacos e esteatose gordurosa ou não. Ademais, estima-se que estas afetam a anatomofuncionalidade do órgão responsável por grande parte da homeostase, culminando em diversas manifestações clínicas.  Conclusão: A cirrose é uma consequência grave de fatores de base em estágio avançado, a qual devido ao seu curso geralmente silencioso culmina no desenvolvimento e progressão clínica. Neste contexto, a atenção aos fatores predisponentes como alimentação rica em lipídios, estilismo, negligência a exames de rotina, sedentarismo e obesidade contribuem constituem medidas eficazes de prevenção primária.&nbsp

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

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

Alcohol Consumption and Helmet Use in Patients with Traumatic Brain Injury due to Motorcycle Accident

Alcohol consumption is an important risk factor for traumatic brain injury (TBI), and it has a great impact on its incidence and severity. However, studies suggest potential beneficial effects of alcohol during hospitalization and in the prognosis of moderate or severe TBI, with conflicting results. The objective of the present study was to associate alcohol consumption and helmet use in TBI patients, as well as the prognostic variables and patterns of injuries secondary to TBI. We analyzed 109 medical records of patients who suffered TBI due to a motorcycle accident. We evaluated data on alcohol consumption, helmet use, TBI severity, and tomographic findings on admission. The subjects with moderate or severe TBI were evaluated regarding hospitalization, mortality and prognosis variables. Patients who wore a helmet at the time of trauma had lower rates of skull fracture and extradural hematoma (EDH), but an increased incidence of subarachnoid hemorrhage (SAH). Furthermore, patients with moderate or severe TBI who were those under alcohol intoxication had a greater need for Intensive Care Unit (ICU) admission and a tendency to have a lower in-hospital mortality rate and a higher score on the Glasgow Prognostic Score (GPS). Thus, although the consumption of alcohol has an impact on the incidence and severity of TBI at admission, it seems to be related to a lower in-hospital mortality rate and a better prognosis. In addition, helmet use is essential to prevent injuries from direct head-to-shield impact, but no similar reduction in the incidence of injuries caused by indirect forces was observed

Núcleos de Ensino da Unesp: artigos 2008

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq