19 research outputs found

    Differential metallothionein expression in oral lichen planus and amalgam-associated oral lichenoid lesions

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    Oral lichen planus (OLP) is a chronic inflammatory disease mediated by T cells, which manifests as reticular (white) or erosive (red) lesions, that are eventually painful. Oral lichenoid lesion (OLL) are distinguished from OLP by the presence of precipitating factors. The aim of this study was to evaluate whether the presence of metallothionein, which is involved in anti-apoptotic pathways and the anti-oxidative response, could serve as a differential diagnostic for OLP and OLL. We evaluated the expression of metallothionein in 40 cases of OLP and 20 cases of OLL using immunohistochemistry. White OLP has higher concentrations of metallothionein than red OLP in basal and parabasal layers. Moreover, metallothionein was more frequently observed in the cytoplasm and nuclei of basal cells in OLP patients compared to the same regions of OLL cases. Metallothionein levels are related to OLP severity and may contribute to a differential diagnosis between OLP and OLL

    Uso da Membrana de Oxigenação Extracorpórea em uma Paciente Pós-Transplante Pulmonar: Cuidados de Enfermagem

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    This is an experience report of unprecedented case in Brazil on the nursing care system applied to a patient in mechanical circulatory support with extracorporeal membrane oxygenation in postoperative lung transplantation. Were established 18 diagnoses and 94 nursing behaviors implemented involved: care assistance circuit, hemodynamic monitoring and control of laboratory tests. The main outcomes were that the patient had: improved gas exchange, maintenance of hemodynamic stability and absence of adverse effects related to treatment, such as bleeding and reduction in limb perfusion with cannula. The care system established showed aggregate scientific knowledge, guidance to clinical practice and comprehensive care.Se trata de un relato de experiencia de un caso sin precedentes en Brasil acerca de la sistematización de los cuidados de enfermería aplicados a una paciente en asistencia circulatoria mecánica con membrana de oxigenación extracorpórea en el postoperatorio de un trasplante de pulmón. Se establecieron 18 diagnósticos de enfermería y las 94 conductas implementados abarcaron: cuidados con el circuito de asistencia, monitorización hemodinámica y control de las pruebas de laboratorio. Los principales resultados fueron que el paciente presentaba: un mejor intercambio de gases, mantenimiento de la estabilidad hemodinámica y ausencia de efectos adversos relacionados con el tratamiento, como el sangrado y reducción de la perfusión de la extremidad de la cánula venosa. La sistematización de la atención establecida mostró agregar conocimiento científico, orientación a la práctica clínica y atención integral.Trata-se de um relato de experiência de caso inédito no Brasil sobre a sistematização da assistência da Enfermagem aplicada a uma paciente em assistência circulatória mecânica com membrana de oxigenação extracorpórea no pós-operatório de transplante pulmonar. Foram estabelecidos 18 diagnósticos de Enfermagem e as 94 condutas implementadas envolveram: cuidados com o circuito da assistência, monitorização hemodinâmica e controle de exames laboratoriais. Os principais resultados esperados foram que a paciente apresentasse: troca gasosa melhorada, manutenção da estabilidade hemodinâmica e ausência dos efeitos adversos relacionados à terapia, tais como, sangramento e prejuízo à perfusão do membro de inserção da cânula venosa. A sistematização da assistência estabelecida mostrou agregar conhecimento científico, orientação à prática clínica e integralidade do cuidado

    Pervasive gaps in Amazonian ecological research

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    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

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    Brazilian legislation on genetic heritage harms biodiversity convention goals and threatens basic biology research and education

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    ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

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    Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

    Pervasive gaps in Amazonian ecological research

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    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

    Energy management: a synthesis of scientific publications on biodigestion for waste management

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    Environmentally friendly options for waste disposal and the need for expansion and diversification of the national and international energy matrix are relevant issues today. One technique that supports these goals is anaerobic biodigestion, which generates clean energy from biomass. Accordingly, our goal was to perform a quantitative and qualitative assessment of scientific publications on biodigestion in order to understand the evolution of the technique, which is essential for environmental and economic sustainability. Ninety-nine articles indexed in the Scientific Electronic Library Online between 1980 and 2015 were evaluated. The results showed a significant increase in scientific publications since 2000 which addressed, in addition to environmentally friendly waste management, the energy issue, with the use of biogas. This increase in the number of publications coincides with increased awareness on natural resource management and concern about global energy management. Most of the articles involved a general evaluation of the process, using mainly animal waste from pigs, and emphasizing biodigestion as waste management, since pig farming produces a large volume of waste and has a high environmental impact
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