Relação entre endometriose e infertilidade nas mulheres: uma revisão integrativa

Introdução: Endometriose é uma doença crônica e inflamatória causada pelo tecido endometrial do tipo glandular e estromal localizados fora da cavidade uterina. Estudos indicam que 6% a 10% das mulheres em idade reprodutiva possuem endometriose. Destas, 35 a 50% queixarão de infertilidade. Objetivo: Identificar quais seriam os fatores que associam a endometriose com o desenvolvimento da infertilidade nestas pacientes. Metodologia: A apuração de dados foi realizada através das bases Biblioteca Virtual em Saúde Brasil (BVS) e Pubmed com os descritores "Endometriose", "Endometriosis", "Infertilidade", "Infertility" no título dos artigos e as operações booleanas AND para os termos convergentes e OR para seus respectivos em inglês. Após aplicação dos critérios de inclusão, restaram 914 dos 4.662 artigos encontrados na BvS, que passaram por uma triagem  que visava excluir, pelo título, os artigos que não se adequassem ao tema, restando assim 22 artigos.  Resultados\Discussão: Dos 22 artigos analisados integralmente,  foram selecionados  8 que atendiam aos critérios de inclusão e eram enriquecedores para o desenvolvimento desta revisão. . Pela análise destes estudos , observou-se a existência de uma relação causal da endometriose com a infertilidade ao se analisar a ocorrência de gravidez após o tratamento  e ao se olhar mais a fundo os fatores que levam a endometriose a possivelmente causar a infertilidade Conclusão:Entre os fatores encontrados que se relacionam à patogênese da infertilidade  atribuídos  à endometriose estão  o fator inflamatório devido à diminuição do clearance celular e o déficit das células natural-killers, as diferenças no fluído folicular dessas pacientes e os fatores que influenciam no concepção após a cirurgia de reparação

Melioidose por Burkholderia pseudomallei: relato de caso em Sergipe

A Melioidose é uma infecção bacteriana potencialmente letal, causada pelo bacilo gram negativo Burkholderia pseudomallei e endêmica em muitas regiões tropicais e subtropicais. Possui caráter emergente no Brasil, mas ainda é uma doença com pouco reconhecimento no ambiente de saúde. As apresentações clínicas da Melioidose variam desde quadros de bronquite, pneumonia bacterêmica aguda até abscessos viscerais e infecções localizadas, sendo o acometimento pulmonar mais frequentemente observado nos estudos. Em geral, possui semelhança clínica com outras infecções mais comuns na população, e achados nos exames de imagem compatíveis com pneumonia por outras etiologias. A transmissão ocorre por meio da inoculação através da pele, inalação ou ingestão da bactéria,  sendo considerados com Melioidose aqueles que manifestam os sintomas da doença. Para obter confirmação diagnóstica, é necessário isolamento da Burkholderia pseudomallei em meio de cultura microbiológica e o manejo adequado varia desde cuidados de suporte até antibioticoterapia direcionada.  Neste presente trabalho, relatamos o primeiro caso descrito de Melioidose no estado de Sergipe, no qual o paciente evoluiu rapidamente com desfecho clínico desfavorável. O diagnóstico comprovatório com presença do bacilo em meio de cultura só foi liberado após o óbito do paciente, o tratamento principal empregado foi antibioticoterapia com ceftriaxona, azitromicina e piperacilina junto ao tazobactam

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

Characterisation of microbial attack on archaeological bone

As part of an EU funded project to investigate the factors influencing bone preservation in the archaeological record, more than 250 bones from 41 archaeological sites in five countries spanning four climatic regions were studied for diagenetic alteration. Sites were selected to cover a range of environmental conditions and archaeological contexts. Microscopic and physical (mercury intrusion porosimetry) analyses of these bones revealed that the majority (68%) had suffered microbial attack. Furthermore, significant differences were found between animal and human bone in both the state of preservation and the type of microbial attack present. These differences in preservation might result from differences in early taphonomy of the bones. © 2003 Elsevier Science Ltd. All rights reserved

ATLANTIC ANTS: a data set of ants in Atlantic Forests of South America

International audienc

Neotropical freshwater fisheries : A dataset of occurrence and abundance of freshwater fishes in the Neotropics

The Neotropical region hosts 4225 freshwater fish species, ranking first among the world's most diverse regions for freshwater fishes. Our NEOTROPICAL FRESHWATER FISHES data set is the first to produce a large-scale Neotropical freshwater fish inventory, covering the entire Neotropical region from Mexico and the Caribbean in the north to the southern limits in Argentina, Paraguay, Chile, and Uruguay. We compiled 185,787 distribution records, with unique georeferenced coordinates, for the 4225 species, represented by occurrence and abundance data. The number of species for the most numerous orders are as follows: Characiformes (1289), Siluriformes (1384), Cichliformes (354), Cyprinodontiformes (245), and Gymnotiformes (135). The most recorded species was the characid Astyanax fasciatus (4696 records). We registered 116,802 distribution records for native species, compared to 1802 distribution records for nonnative species. The main aim of the NEOTROPICAL FRESHWATER FISHES data set was to make these occurrence and abundance data accessible for international researchers to develop ecological and macroecological studies, from local to regional scales, with focal fish species, families, or orders. We anticipate that the NEOTROPICAL FRESHWATER FISHES data set will be valuable for studies on a wide range of ecological processes, such as trophic cascades, fishery pressure, the effects of habitat loss and fragmentation, and the impacts of species invasion and climate change. There are no copyright restrictions on the data, and please cite this data paper when using the data in publications

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data