Comunidade de aves em áreas de restinga reflorestadas

Fragmentation is one of environmental degradation and reduction of biodiversity causes, including in bird communities, mainly in Atlantic Forest areas. The aim of this study was to evaluate the differences in richness and functional groups structure in the ornitofauna from a Restinga forest fragment and four areas with different ages of reforestation. We selected five forest fragments in a Restinga area in the state of Paraiba. A native fragment (Control Area-AC) and four fragments that have undergone a mining process and present different ages of reforestation (1989, 1997, 2001 and 2003). The avifauna samples occurred in four expeditions between November 2006 and April 2008 and counted with a total effort of 2700 net.m2 per expedition. Statistical tests verified richness differences between studied areas, as well as the composition of their functional groups. In general, 90 bird species were recorded, and the highest reforestation age area presented the highest richness (n = 51 spp.). The species richness comparisons indicated that the difference in the richness between AC and reforested areas is not statistically significant. The similarity analysis indicates that reforested areas share a large amount of species and AC has a great differentiation in composition. This differentiation is explained by the significant presence of frugivorous, nectarivorous, leaf and understory-insectivorous species. Changes in species richness and composition in degraded areas are expected and reforested areas usually have a smaller number of forest-dependent species due to the deficiency of available resources. The recovery of areas by reforestation are important conservation strategies, however there is need for management measures that promote the enrichment of these areas and the availability of resources for species dependent on environments Forest.A fragmentação é uma das causas da diminuição da biodiversidade, principalmente em áreas de Floresta Atlântica. Este estudo avaliou as diferenças na riqueza e estrutura de grupos funcionais na ornitofauna de um fragmento nativo de floresta de restinga (Área Controle – AC) e quatro fragmentos com diferentes idades de reflorestamento (reflorestados em 1989, 1997, 2001 e 2003). O levantamento da avifauna ocorreu entre novembro de 2006 e abril de 2008 e totalizou um esforço de 2700 rede.m2, por expedição. Foram registradas 90 espécies. A área com a maior idade de reflorestamento deteve a maior riqueza (n = 51 spp.). As diferenças entre as riquezas de AC e as áreas reflorestadas não foi estatisticamente significante. A análise de similaridade apontou um grande compartilhamento de espécies entre as áreas reflorestadas e uma diferenciação em AC. Essa diferenciação é explicada pela presença de espécies dependentes de floresta em AC. Mudanças na riqueza e composição de espécies em áreas degradas são esperadas. Áreas reflorestadas normalmente apresentam menos espécies dependentes de florestas devido a deficiência de recursos disponíveis. Reflorestamentos são estratégias de conservação importantes, contudo há a necessidade de medidas que promovam o enriquecimento destas áreas e disponibilização de recursos para espécies dependente de ambientes florestais

Assessment and Comparison of Glaucoma Knowledge Between a Group of Patients with and without Glaucoma Diagnosis

Background: Glaucoma is a chronic, irreversible optic nerve neuropathy characterized by loss of visual field, which can evolve to blindness if not treated properly. This study aims to assess the level of knowledge about glaucoma between a group of diagnosed patients and a healthy group. Methods: 50 glaucoma patients (group A) of Ophthalmology service of Centro Universitário FMABC were required to answer a validated questionnaire. 50 patients without diagnosed glaucoma (Group B), answered the same questionnaire. Sociodemographic data were recorded, a source of information on the disease of 50 patients in Group A and 65 in Group B and, in group A, it was also asked for how long they have been diagnosed. Results: In the glaucoma group, 52% were female and 48% were male. In the healthy group, 66% were women and 34% were men. The mean age of group A was 66.4 years and that of group B was 55.7 years. All glaucoma patients reported knowing the disease, while 23% of Group B were unaware of the disease. 54% of Group A patients did not know that vision loss in glaucoma is slow and 46% of them reported that the disease is mostly painful. The mean score of the questions in Group A and Group B was 12.08 and 10.66, respectively (p=0.0098). Conclusion: Patients with glaucoma know more about the disease than patients without glaucoma but seem unaware of the aggravations of this disease. This study suggests the need to improve the population's knowledge about the disease and the prevention of blindness

Homologous recombination deficiency test validation in patients with high-grade advanced ovarian cancer

BackgroundAlong with BRCA mutation status, homologous recombination deficiency (HRD) testing is a prognostic and predictive biomarker for poly-ADP-ribose polymerase (PARP) inhibitor therapy indication in high-grade epithelial ovarian, fallopian tube, or peritoneal cancer. Approximately 50% of high-grade serous ovarian cancers exhibit HRD, even in the absence of germline or somatic BRCA1/2 loss-of-function mutations. In this scenario, access to a validated diagnostic HRD test can optimize treatment selection and increase the effectiveness of the intervention.ObjectiveTo technically validate an in-house next-generation sequencing (NGS)-based HRD test, QIAseq Custom Panel (QIAGEN), by comparing it with the reference assay, MyChoice CDx® Plus HRD (Myriad Genetics), which is used in routine care.MethodsThis is a prospective cohort study conducted at the Oncoclínicas Precision Medicine (OCPM) laboratory using samples from patients with advanced or relapsed platinum-sensitive ovarian cancer eligible for HRD testing in a diagnostic clinical setting at Oncoclínicas and Co. We assessed the performance of the in-house test (GS Focus HRD) using Cohen’s kappa statistic to measure agreement with the gold standard assay (MyChoice® HRD Plus CDx) in HRD status classification, along with other accuracy metrics.ResultsIn total, 41 samples were analyzed (20 HRD-positive, 19 HRD-negative, and 2 inconclusive results with the MyChoice® HRD Plus CDx assay). The GS Focus HRD test demonstrated high concordance for HRD status with the reference test (kappa: 0.8 and 95% CI: 0.60–0.98). Overall accuracy, sensitivity, and specificity were 90%. Six samples had BRCA1/2 mutations identified by the MyChoice® HRD Plus CDx, all of which were detected by the GS Focus HRD test.ConclusionIn summary, the results demonstrate substantial agreement and high accuracy of the NGS-based GS Focus HRD test compared to MyChoice® HRD Plus CDx. Our in-house assay is eligible for diagnostic test approval and market access as per Brazilian regulations

SARS-CoV-2 uses CD4 to infect T helper lymphocytes

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the agent of a major global outbreak of respiratory tract disease known as Coronavirus Disease 2019 (COVID-19). SARS-CoV-2 infects mainly lungs and may cause several immune-related complications, such as lymphocytopenia and cytokine storm, which are associated with the severity of the disease and predict mortality. The mechanism by which SARS-CoV-2 infection may result in immune system dysfunction is still not fully understood. Here, we show that SARS-CoV-2 infects human CD4+ T helper cells, but not CD8+ T cells, and is present in blood and bronchoalveolar lavage T helper cells of severe COVID-19 patients. We demonstrated that SARS-CoV-2 spike glycoprotein (S) directly binds to the CD4 molecule, which in turn mediates the entry of SARS-CoV-2 in T helper cells. This leads to impaired CD4 T cell function and may cause cell death. SARS-CoV-2-infected T helper cells express higher levels of IL-10, which is associated with viral persistence and disease severity. Thus, CD4-mediated SARS-CoV-2 infection of T helper cells may contribute to a poor immune response in COVID-19 patients.</p

SARS-CoV-2 uses CD4 to infect T helper lymphocytes

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the agent of a major global outbreak of respiratory tract disease known as Coronavirus Disease 2019 (COVID-19). SARS-CoV-2 infects mainly lungs and may cause several immune-related complications, such as lymphocytopenia and cytokine storm, which are associated with the severity of the disease and predict mortality. The mechanism by which SARS-CoV-2 infection may result in immune system dysfunction is still not fully understood. Here, we show that SARS-CoV-2 infects human CD4+ T helper cells, but not CD8+ T cells, and is present in blood and bronchoalveolar lavage T helper cells of severe COVID-19 patients. We demonstrated that SARS-CoV-2 spike glycoprotein (S) directly binds to the CD4 molecule, which in turn mediates the entry of SARS-CoV-2 in T helper cells. This leads to impaired CD4 T cell function and may cause cell death. SARS-CoV-2-infected T helper cells express higher levels of IL-10, which is associated with viral persistence and disease severity. Thus, CD4-mediated SARS-CoV-2 infection of T helper cells may contribute to a poor immune response in COVID-19 patients.</p

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

Tamponamento intrauterino induzido por vácuo para hemorragia pós-parto: uma revisão sistemática

A hemorragia pós-parto (HPP) é uma complicação grave e uma das principais causas de mortalidade materna global, respondendo por aproximadamente 25% de todos os óbitos maternos. A busca por intervenções eficazes e seguras é crítica para melhorar os desfechos maternos. O tamponamento intrauterino induzido por vácuo (VHD) surgiu como uma abordagem promissora, oferecendo potencial para rápido controle do sangramento e redução da necessidade de procedimentos invasivos. Nesse sentido, o presente estudo tem como objetivo analisar a eficácia, segurança e aplicabilidade na prática clínica moderna. Foi realizada uma revisão sistemática da literatura de 2016 a 2024 nas bases de dados PubMed (Medline), Cochrane Library e SciELO. A seleção dos estudos foi baseada em critérios de inclusão e exclusão rigorosos, focando na eficácia, segurança e aplicabilidade do VHD para tratamento da HPP. Três estudos chave foram analisados, com pacientes submetidos ao tratamento com VHD para HPP. Os resultados demonstraram uma taxa de sucesso no tratamento variando de 73% a 94%, com um controle do sangramento alcançado em uma média de 3 minutos. Foi observada uma redução significativa na necessidade de transfusões maciças de sangue e na perda de sangue estimada quando comparado com o tamponamento com balão uterino. Eventos adversos foram relatados, mas todos resolveram-se sem sequelas graves. O tamponamento intrauterino induzido por vácuo apresenta-se como uma opção promissora no tratamento da hemorragia pós-parto, com resultados consistentes indicando eficácia no controle do sangramento e redução na necessidade de transfusões sanguíneas. Embora os resultados sejam encorajadores, mais estudos são necessários para confirmar essas descobertas e explorar plenamente o potencial do VHD na prática clínica. O VHD emerge como uma alternativa eficaz e segura, com potencial para melhorar significativamente os desfechos maternos e reduzir a morbimortalidade associada à HPP

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