Efecto del extracto de las hojas de Gingko biloba en el crecimiento y la morfología de tripanosomátidos.

Gingko biloba has been one of the most used medicinal plants all over the world in the past years. In this study, our group has studied the effect of a hydroethanolic extract from the aerial parts of this plant on the growth and morphological differentiation of trypanosomatids. Herpetomonas samuelpessoai and Herpetomonas sp were used in this study. The extract was obtained in a Soxhlet apparatus (50 degrees C, 2 hours). This extract was aseptically added to Roitman's medium in different concentrations (4, 20, 40, 60, 80 and 100 mg/ml). The growth rate was determined using a Newbauer chamber to count numbers of cells after the extract inoculation (24 and 72 hours later). Smears stained by the Panotic method was used to determine the percentages of pro, para and opisthomastigote forms. The extract inhibited Herpetomonas sp growth in concentrations higher than 20 mg/ml. H. samuelpessoai has been inhibited in doses higher than 40 mg/ml. No morphological differentiation was observed in Herpetomonas sp cell. However, morphological differentiations could be noticed in H. samuelpessoai cell using doses higher than 40 mg/ml. These alterations are probably related to the cell division process, since cells with 3 or 4 nucleus were observed. Also, cytoplasmatic expansions, representing unsuccessful process of cell division were frequently found out. Further ultrastructural analysis using a transmission electron microscope showed cells with homogeneous nucleus or the absence of it. Protozoan protein profile was also analyzed. It was possible to notice changes in both trypanosomatids used in this study. H. samuelpessoai has shown over expression and accumulation of proteins which its degradation is essential to continue the cell differentiation. Also, it is possible to suggest that this extract acts through the modulation of the genetic expression and may be harmful to human cells if not purified.Univ Fed Sao Paulo, Lab Farmacognosia, Sao Paulo, BrazilUniv Jose do Rosario Vellano, Lab Biol & Fisiol Microorganismos, BR-37130000 Alfenas, MG, BrazilUniv Fed Alfenas, Microbiol Lab, Fac Farm, Alfenas, MG, BrazilFiocruz MS, Dept Ultra Estrutura & Biol, Inst Oswaldo Cruz, BR-21045900 Rio De Janeiro, BrazilUniv Fed Amapa, Lab Pesquisa Farmacos, Ctr Ciencias Biol & Saude, BR-68902280 Macapa, Amapa, BrazilUniv Fed Sao Paulo, Lab Farmacognosia, Sao Paulo, BrazilWeb of Scienc

Efecto del extracto de las hojas de Gingko biloba en el crecimiento y la morfología de tripanosomátidos

Gingko biloba has been one of the most used medicinal plants all over the world in the past years. In this study, our group has studied the effect of a hydroethanolic extract from the aerial parts of this plant on the growth and morphological differentiation of trypanosomatids. Herpetomonas samuelpessoai and Herpetomonas sp were used in this study. The extract was obtained in a Soxhlet apparatus (50 oC, 2 hours). This extract was aseptically added to Roitman’s medium in different concentrations (4, 20, 40, 60, 80 and 100 mg/ml). The growth rate was determined using a Newbauer chamber to count numbers of cells after the extract inoculation (24 and 72 hours later). Smears stained by the Panotic method was used to determine the percentages of pro, para and opisthomastigote forms. The extract inhibited Herpetomonas sp growth in concentrations higher than 20 mg/ml. H. samuelpessoai has been inhibited in doses higher than 40 mg/ml. No morphological differentiation was observed in Herpetomonas sp cell. However, morphological differentiations could be noticed in H. samuelpessoai cell using doses higher than 40 mg/ml. These alterations are probably related to the cell division process, since cells with 3 or 4 nucleus were observed. Also, cytoplasmatic expansions, representing unsuccessful process of cell division were frequently found out. Further ultrastructural analysis using a transmission electron microscope showed cells with homogeneous nucleus or the absence of it. Protozoan protein profile was also analyzed. It was possible to notice changes in both trypanosomatids used in this study. H. samuelpessoai has shown over expression and accumulation of proteins which its degradation is essential to continue the cell differentiation. Also, it is possible to suggest that this extract acts through the modulation of the genetic expression and may be harmful to human cells if not purified.Gingko biloba es una de las plantas medicinales más utilizadas en todo el mundo en los últimos años. En este estudio, nuestro grupo ha estudiado el efecto de un extracto hidroetanólico de la parte aérea de esta planta sobre el crecimiento y la diferenciación morfológica de tripanosomátidos. Herpetomonas samuelpessoai y Herpetomonas sp se utilizaron en este estudio. El extracto se obtuvo en un aparato Soxhlet (50° C/2 horas). Este extracto se agregó asépticamente a medio Roitman en diferentes concentraciones (4, 20, 40, 60, 80 y 100 mg /ml). La tasa de crecimiento se determinó utilizando una cámara de Newbauer para contar el número de células después de la inoculación de extracto (24 y 72 horas más tarde). Frotis teñidos por el método Panotic se utilizó para determinar los porcentajes de pro, para y las formas opistomastigota. El extracto inhibió el crecimiento Herpetomonas sp en concentraciones superiores a 20 mg /ml. H. samuelpessoai se ha inhibido en dosis superiores a 40 mg /ml. No se observó diferenciación morfológica en la celda Herpetomonas sp. Sin embargo, las diferenciaciones morfológicas se pudo observar en la celda H. samuelpessoai con dosis superiores a 40 mg /ml. Estas alteraciones son probablemente relacionado con el proceso de división celular, ya que las células con 3 o 4 núcleos se observaron. Además, las expansiones citoplasmáticas, lo que representa el proceso fallido de la división celular se encontraron con frecuencia hacia fuera. Un análisis más detallado ultraestructural usando microscopio electrónico de transmisión mostró células con núcleo homogéneo o la ausencia de ella. El perfil de proteínas por Protozoarios también se ha analizado. Fue posible notar cambios tanto en tripanosomátidos utilizados en este estudio. H. samuelpessoai ha demostrado a lo largo de expresión y la acumulación de proteínas que su degradación es esencial para continuar con la diferenciación celular. Además, es posible sugerir que este extracto actúa a través de la modulación de la expresión genética

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

Elderly patients with cancer admitted to intensive care unit: A multicenter study in a middle-income country.

BackgroundVery elderly critically ill patients (ie, those older than 75 or 80 years) are an increasing population in intensive care units. However, patients with cancer have encompassed only a minority in epidemiological studies of very old critically-ill patients. We aimed to describe clinical characteristics and identify factors associated with hospital mortality in a cohort of patients aged 80 or older with cancer admitted to intensive care units (ICUs).MethodsThis was a retrospective cohort study in 94 ICUs in Brazil. We included patients aged 80 years or older with active cancer who had an unplanned admission. We performed a mixed effect logistic regression model to identify variables independently associated with hospital mortality.ResultsOf 4604 included patients, 1807 (39.2%) died in hospital. Solid metastatic (OR = 2.46; CI 95%, 2.01-3.00), hematological cancer (OR = 2.32; CI 95%, 1.75-3.09), moderate/severe performance status impairment (OR = 1.59; CI 95%, 1.33-1.90) and use of vasopressors (OR = 4.74; CI 95%, 3.88-5.79), mechanical ventilation (OR = 1.54; CI 95%, 1.25-1.89) and renal replacement (OR = 1.81; CI 95%, 1.29-2.55) therapy were independently associated with increased hospital mortality. Emergency surgical admissions were associated with lower mortality compared to medical admissions (OR = 0.71; CI 95%, 0.52-0.96).ConclusionsHospital mortality rate in very elderly critically ill patients with cancer with unplanned ICU admissions are lower than expected a priori. Cancer characteristics, performance status impairment and acute organ dysfunctions are associated with increased mortality

Recovery of Brucella in raw milk minas artisanal cheese approved for consumption by official inspection agency in Brazil: assessment of prevalence and risk factors through One Health integrated approaches

SEG 06.11.01.012.00.00/Brazilian Agricultural Research Corporation / CVZ-APQ-02746-14/FAPEMIGEmbrapa Dairy Cattle. Juiz de Fora, MG, Brazil.Minas Gerais Agriculture and Livestock Institute. Belo Horizonte, MG, Brazil.Minas Gerais Agriculture and Livestock Institute. Belo Horizonte, MG, Brazil.Embrapa Dairy Cattle. Juiz de Fora, MG, Brazil.Minas Gerais Agriculture and Livestock Institute. Belo Horizonte, MG, Brazil.Embrapa Dairy Cattle. Juiz de Fora, MG, Brazil.Embrapa Dairy Cattle. Juiz de Fora, MG, Brazil.Brazilian Ministry of Agriculture. Livestock and Food Supply. Pedro Leopoldo, MG, Brazil.Brazilian Ministry of Agriculture. Livestock and Food Supply. Pedro Leopoldo, MG, Brazil.Brazilian Ministry of Agriculture. Livestock and Food Supply. Pedro Leopoldo, MG, Brazil.Brazilian Ministry of Agriculture. Livestock and Food Supply. Pedro Leopoldo, MG, Brazil.Embrapa Beef Cattle. Campo Grande, MS, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Laboratório de Geoprocessamento. Ananindeua, PA, Brasil.Marinha do Brasil. Rio de Janeiro, RJ, Brazil.University of Washington. School of Medicine. Seattle, WA, US.Brazilian Ministry of Agriculture. Livestock and Food Supply. Pedro Leopoldo, MG, Brazil.Background: Minas artisanal cheese (MAC) from the Serro region is a Brazilian intangible cultural heritage. Produced from raw milk, it may carry zoonotic pathogens such as Brucella. This study included a randomized survey for the prevalence of Brucella-positive MAC and its associated factors. Methods: MAC samples (n=55), each one from a different rural family-based cheese-processing agroindustry, were analysed for Brucella by direct polymerase chain reaction (PCR) species-specific DNA detection and cultivation-based approaches. Results: Among 55 MACs that were analysed, we found 17 Brucella DNA-positive samples (30.9% [95% confidence interval {CI} 18.7 to 43.1]) by PCR and, for the first time, from one MAC (1.8% [95% CI 0.5 to 9.7]), viable Brucella abortus was recovered by cultivation. Higher values for two variables, the number of lactating cows per herd (p=0.043) and daily milk production per herd (p=0.043), were each associated with Brucella-positive MAC, which concentrated in three high-risk and one low-risk spatial clusters. Conclusions: MAC may be a source of Brucella for humans, since the positive samples were from batches that were sold by cheesemakers. This should be of concern and encourage cooperation between the health and agriculture sectors in order to mitigate this public health risk through One Health integrated approaches