Evaluation of MTHFR C677T gene polymorphism and homocysteine level in coronary atherosclerotic disease

OBJECTIVE: The aim of this study is to determine the prevalence of C677T methylenetetrahydrofolate reductase (MTHFR) polymorphism and correlate it with plasma homocysteine levels in coronary artery disease (CAD). METHODS: Ninety-three patients with documented CAD from Hospital Universitário Oswaldo Cruz (Recife, PE, Brazil) and 108 healthy controls were evaluated. Homocysteine and folate levels were determined by HPLC and chemoluminescence, respectively, and lipid profile was considered. Genotyping was done by RFLP/PCR. RESULTS: The groups were homogeneous for the C677T polymorphisms. The homocysteine level in cases (11.7 µmol/L) was statistically different from that observed in controls (8.84 µmol/L, p< 0.05). It was also observed that 72% of the patients had homocysteine values above12 µmol/L while the control group presented only 32% in this range. There was no relationship between homozigosity for the C677T polymorphism and the homocysteine level (p= 0.634). We noticed statistical differences between folate levels from patients and controls (6.22 and 7.69 ng/dL, p< 0.05, respectively). However, there was no correlation between homocysteine and folate concentrations in the entire group (r= -0.202). Comparing cases and controls, the odds ratio (OR) when homocysteine is high and folate is low was OR= 11.9; CI 95%= 4.16-34.42, p< 0.01. CONCLUSION: A lack of correlation between C677T mutation and homocysteine level suggests that environmental factors and others genetic factors seem to exert more influence on homocysteine level in this population.OBJETIVO: O objetivo deste trabalho é determinar a prevalência do polimorfismo C677T do gene metilenotetraidrofolato redutase (MTHFR) e associá-la com a concentração plasmática de homocisteína plasmática na doença arterial coronariana (DAC). MÉTODOS: Foram avaliados 93 pacientes com DAC documentada, atendidos no Hospital Universitário Oswaldo Cruz (Recife, PE, Brasil), e 108 controles sem a doença. Foram determinados os perfis lipídicos de pacientes e controles. As concentrações plasmáticas de homocisteína e folato foram determinadas por HPLC e quimioluminescência, respectivamente. A genotipagem foi realizada por RFLP/PCR. RESULTADOS: Os grupos de pacientes e controles foram homogêneos quanto aos perfis genéticos do polimorfismo investigado. Nos pacientes, as concentrações plasmáticas médias de homocisteina (11,7 ± 4,4 µmol/L) e de folato (6,22 ± 3,0 ng/dL) foram estatisticamente diferentes daquelas observadas nos controles (8,84 ± 3,2 µmol/L e 7,69 ± 3,1 ng/dL, respectivamente), ao nível de significância de 0,05. Entretanto, não houve correlação entre concentração plasmática de homocisteína e folato nos pacientes (r= -0,202). Não foi observada associação entre a homozigosidade 677TT para MTHFR e a concentração plasmática de homocisteína sérica (p= 0,634). A comparação dos casos e controles que apresentaram simultaneamente alta concentração plasmática de homocisteína e baixa concentração de folato, resultou numa razão de chance superior à de cada variável analisada independentemente (RC= 11,9; IC 95%= 4,16-34,42, p< 0,01). CONCLUSÕES: A mutação C677T não parece ser um fator genético importante capaz de explicar a hiperhomocisteinemia moderada observada nos pacientes com DAC. Outros fatores, ambientais e genéticos, devem ser investigados.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Universidade Federal de São Paulo (UNIFESP) Departamento de Pediatria Laboratório de Erros Inatos de MetabolismoUniversidade de Pernambuco ICB Departamento de Ciências FisiológicasUniversidade de São Paulo Faculdade de Medicina de Ribeirão Preto Hospital das ClínicasUNIFESP, Depto. de Pediatria Laboratório de Erros Inatos de MetabolismoSciEL

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

Rio Mamore Virus and Hantavirus Pulmonary Syndrome, Brazil

Made available in DSpace on 2015-05-22T18:42:40Z (GMT). No. of bitstreams: 2 license.txt: 1914 bytes, checksum: 7d48279ffeed55da8dfe2f8e81f3b81f (MD5) renata_oliveiraetal_IOC_2014.pdf: 301506 bytes, checksum: 0b322f6ff4a06fb2d509dd82d7ad3f5f (MD5) Previous issue date: 2014Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brasil.Fundação de Vigilância em Saúde. Manaus, AM, Brasil / Universidade do Estado do Amazonas. Manaus, AM, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brasil.Fundação de Vigilância em Saúde. Manaus, AM, Brasil.Fundação de Medicina Tropical. Manaus, AM, Brasil.Fundação de Vigilância em Saúde. Manaus, AM, BrasilInstituto Evandro Chagas. Belém, PA, Brasil.Instituto Evandro Chagas. Belém, PA, Brasil / Universidade Estadual do Pará. Belém, PA, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brasil / Ministério da Saúde. Brasília, DF, Brasil.Fundação de Vigilância em Saúde. Manaus, AM, Brasil / Universidade Federal do Estado do Amazonas. Manaus, AM, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Rio de Janeiro, RJ, Brasil

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

Growing knowledge: an overview of Seed Plant diversity in Brazil

Abstract An updated inventory of Brazilian seed plants is presented and offers important insights into the country's biodiversity. This work started in 2010, with the publication of the Plants and Fungi Catalogue, and has been updated since by more than 430 specialists working online. Brazil is home to 32,086 native Angiosperms and 23 native Gymnosperms, showing an increase of 3% in its species richness in relation to 2010. The Amazon Rainforest is the richest Brazilian biome for Gymnosperms, while the Atlantic Rainforest is the richest one for Angiosperms. There was a considerable increment in the number of species and endemism rates for biomes, except for the Amazon that showed a decrease of 2.5% of recorded endemics. However, well over half of Brazillian seed plant species (57.4%) is endemic to this territory. The proportion of life-forms varies among different biomes: trees are more expressive in the Amazon and Atlantic Rainforest biomes while herbs predominate in the Pampa, and lianas are more expressive in the Amazon, Atlantic Rainforest, and Pantanal. This compilation serves not only to quantify Brazilian biodiversity, but also to highlight areas where there information is lacking and to provide a framework for the challenge faced in conserving Brazil's unique and diverse flora