Obesity and altered arterial structure in young women with micropolycystic ovary syndrome

OBJETIVO: comparar os fatores ecográficos de risco cardiovascular em pacientes obesas e não obesas, com síndrome dos ovários micropolicísticos (SOMP). MÉTODOS: foram incluídas 30 pacientes obesas com SOMP (Índice de massa corporal, IMC>30 kg/m²) e 60 não obesas (IMC<30 kg/m²), com idade entre 18 e 35 anos neste estudo transversal. Foram avaliados: a dilatação mediada por fluxo (DMF) da artéria braquial, espessura íntima-média da artéria carótida (IMT), o índice de rigidez da artéria carótida (&#946;), as medidas antropométricas, pressão sanguínea sistólica (PAS) e diastólica (PAD). As mulheres estavam sem nenhum tratamento prévio e nenhuma delas apresentava qualquer comorbidade (além da SOMP e/ou da obesidade).Na análise estatística, foram utilizados os testes t não-pareado ou de Mann-Whitney. RESULTADOS: as pacientes obesas com SOMP apresentaram maior peso em relação às não obesas (92,1±11,7 kg versus 61,4±10,7 kg, p<0,0001), bem como a medida da cintura que também, foi mais elevada nas pacientes obesas (105,0±10,4 cm versus 78,5±9,8 cm, p<0,0001). A PAS das pacientes obesas foi superior quando comparadas às não obesas (126,1±10,9 mmHg versus 115,8±9,0 mmHg, p<0,0001) e a IMT também foi maior nas obesas (0,51±0,07 mm versus 0,44±0,09 mm, p<0,0001). Não houve diferença entre os grupos quanto à dilatação mediada por fluxo (DMF) da artéria braquial ou ao índice de rigidez da artéria carótida (&#946;). CONCLUSÕES: a obesidade em portadoras jovens de SOMP está associada a níveis pressóricos mais elevados e à alteração da estrutura arterial, representada pela maior espessura íntima-média da artéria carótida.PURPOSE: to compare echographical cardiovascular risk factors between obese and non-obese patients with micropolycystic ovarian syndrome (MPOS). METHODS: in this transversal study, 30 obese (Body Mass Index, BMI>30 kg/m²) and 60 non-obese (BMI<30 kg/m²) MPOS patients, aging between 18 and 35 years old, were included. The following variables were measured: flow-mediated dilatation (FMD) of the brachial artery, thickness of the intima-media of the carotid artery (IMT), anthropometric data, systolic arterial pressure (SAP) and diastolic arterial pressure (DAP). The women had no previous medical treatment and no comorbidity besides MPOS and obesity. For statistical analysis, the non-paired tand Mann-Whitney's tests were used. RESULTS: obese weighted more than non-obese patients (92.1±11.7 kg versus 61.4±10.7 kg, p<0.0001) and had a larger waist circumference (105.0±10.4 cm versus 78.5±9.8 cm, p<0.0001). The SBP of obese patients was higher than that of the non-obese ones (126.1±10.9 mmHg versus 115.8±9.0 mmHg, p<0.0001) and the IMT was also bigger (0.51±0.07 mm versus 0.44±0.09 mm, p<0.0001). There was no significant difference between the groups as to FMD and carotid rigidity index (&#946;). CONCLUSIONS: obesity in young women with MPOS is associated with higher blood pressure and alteration of arterial structure, represented by a thicker intima-media of the carotid artery

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

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