Estudo da interação entre moduladores da homeostasia do ferro e o gene ECA na insuficiência cardíaca

Introdução: A insuficiência cardíaca (IC) diz respeito a um síndrome clínico composto por um conjunto de sintomas e/ou sinais com origem numa anomalia cardíaca estrutural e/ou funcional e que dá origem à inabilidade de bombear sangue em quantidade suficiente, de forma a preencher as necessidades metabólicas do organismo. No presente trabalho, pretendemos perceber como a interação entre a variação I/D no gene ECA e possíveis moduladores da homeostasia do ferro (Fe) influenciam a IC. Os moduladores em estudo foram: a atividade da redutase da metahemoglobina, o gene Hfe e o gene da heparanase (HPSE) Metodologia: Foi efetuado um estudo de caso-controlo, no qual foram utilizadas 252 amostras de portugueses, 143 indivíduos com IC e 109 controlos saudáveis. Para analisar o polimorfismo no gene HPSE (rs4693608) foi feita a genotipagem por endpoint (LightCycler480). Para analisar os polimorfismos no gene Hfe (H63D e C282Y) recorreu-se à técnica de ARMS Multiplex. Para a análise do polimorfismo no gene ECA (rs4646994 - I/D) realizou-se um PCR. A atividade da redutase da metahemoglobina foi obtida por testes espetrofotométricos. Todos os testes estatísticos necessários foram realizados no software IBM® SPSS® Statistics 26.0, tendo os valores sido considerados significativos para um p < 0,05. Resultados: Verificou-se uma associação entre a IC e: 1) a presença do alelo D do gene HFe (HH vs HD; p=0,049); 2) a presença do alelo A do gene HPSE (AA + GA vs GG; p=0,045; 3) níveis mais baixos da atividade da redutase da metahemoglobina (p=0.019). Verificou-se ainda que as epistasias entre a presença do alelo H ou C do gene Hfe e o alelo D do gene ECA são protetores na IC (p=0,041 para ambas). Conclusão: Os resultados deste estudo evidenciam o papel da homeostasia do ferro e da sua interação com a ECA na IC. O ferro é um componente essencial para o bom funcionamento das mitocôndrias, as quais têm um papel importante no fornecimento de energia ao musculo cardíaco. O conhecimento do perfil genótipo dos doentes em genes moduladores da homeostasia do ferro em interação com o gene ECA, poderá ser uma vantagem na aplicação de uma medicina mais personalizada, permitindo um aconselhamento preventivo e uma terapêutica mais dirigidos.info: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 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

Association Between Weekend and Holiday Admission with Pneumonia and Mortality in a Tertiary Center in Portugal: A Cross-Sectional Study

Introduction: Acute bacterial pneumonia is a common and potentially fatal disease where early recognition and treatment are crucial. Increasing medical literature suggests worse outcomes in patients admitted for medical and surgical conditions during the weekend. Little is known about this effect in patients with acute bacterial pneumonia. Objective: The aim of this study was to evaluate the impact of weekend and holiday hospital admission on the outcomes of acute bacterial pneumonia. Material and Methods: Retrospective analysis of adult patients (> 18 years) with acute bacterial pneumonia collected from a tertiary referral center database. Length of stay, total cost, admission to intensive care unit, development of sepsis and organ failure, and mortality were compared between patients admitted on a weekday and patients admitted during a weekend or holiday. Results: We analyzed 53 854 hospital admissions from 42 512 patients (median age 84.0 years, range 18 - 118 years), corresponding to 30 554 admissions during weekdays, 21 222 at weekends and 2078 during public holidays. Weekend and holiday admission was not associated with increased costs, length of stay, intensive care unit admission, development of sepsis, organ failure, and mortality. Conclusion: A weekend/holiday effect in acute bacterial pneumonia was not evident in our series

Polimorfismos genéticos e a sua interação na suscetibilidade para a hipertensão na população portuguesa

Introdução: A Hipertensão Arterial (HTA) é um fator de risco cardiovascular muito prevalente em Portugal. Esta patologia é multifatorial, envolvendo fatores genéticos e ambientais. Objetivo: Este estudo teve como objetivo investigar a potencial implicação de polimorfismos genéticos nos genes da sintase do óxido nítrico endotelial (eNOS) e da enzima conversora da angiotensina (ECA) e da sua interação no desenvolvimento da HTA na população portuguesa. Material e métodos: Foi realizado um estudo de caso-controlo para uma amostra de 377 indivíduos portugueses, dos quais 243 hipertensos (90 hipertensos ligeiros e 153 hipertensos graves) e 134 normotensos. As amostras foram recolhidas no Centro Hospitalar Lisboa Norte, no Hospital de Santa Maria. As análises polimórficas do número variável de repetições em tandem (VNTR) no intrão 4 (repetição em tandem de 27 pb) do gene eNOS e do polimorfismo ECA I/D (inserção/ deleção) foram realizadas por reação em cadeia da polimerase (PCR). Todas as análises estatísticas foram realizadas recorrendo ao software SPSS, versão 24.0, sendo o nível de significância estatística estabelecido para p <0,05. Resultados: Quando os polimorfismos foram analisados isoladamente, encontrou-se uma associação entre alelo 4a (quatro cópias de repetições de 27 pb) do gene eNOS e a hipertensão, em especial a hipertensão grave (p =0,001). Em relação ao gene ECA, não se encontram diferenças estatisticamente significativas entre doentes e controlos. No entanto, para a interação entre os polimorfismos nos genes eNOS e ECA, encontrou-se uma associação do alelo 4a do gene eNOS e do alelo D do gene ECA e a hipertensão ligeira (p =0,049). Conclusão: Os nossos resultados mostram uma associação entre o gene eNOS e a HTA na população portuguesa. Os resultados ainda sugerem uma relação entre a interação epistática nos genes eNOS e ECA e a suscetibilidade para o desenvolvimento de hipertensão. A identificação de polimorfismos genéticos que possam influenciar o desenvolvimento e gravidade da HTA, bem como as suas interações epistáticas, pode permitir um diagnóstico mais precoce e específico, que pode proporcionar melhores estratégias terapêuticas e de prevenção, para esta doença tão prevalente em Portugal.N/

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