Pico de fluxo de tosse em crianças e jovens com atrofia muscular espinhal tipo II e tipo III

La atrofia muscular espinal es una enfermedad neurodegenerativa, que puede presentarse con insuficiencia respiratoria progresiva. Este trabajo pretende describir el pico flujo de tos de niños y jóvenes con atrofia muscular espinal tipo II y III. Se trata de un estudio descriptivo transversal realizado en la clínica ambulatoria de neuropediatría entre marzo de 2011 y mayo de 2012, con los pacientes con más de 5 años de edad con atrofia muscular espinal tipo II y III. De los 53 pacientes elegibles, 21 participaron del estudio. La medición del pico flujo de tos se llevó a cabo a través de peak flow meter en pacientes en la posición sentada y supina. Después del registro de las tres medidas, se seleccionó la mayor. Los individuos con tipo III tuvieron valores pico flujo de tos mayores que los con tipo II. Las medidas registradas en la posición sentada (AME tipo II 159,4 l/min; AME tipo III 287,9 l/min) fueron las más altas que la de posición supina (AME tipo II 146,9 l/min; AME tipo III 257,5 l/min), con diferencias significativas (p-valor=0,008 posición sentada y p=0,033 posición supina). Se concluyó que los individuos con AME tipo III presentan mayor PFT, especialmente en la posición sentada, comparados con los de tipo II.Spinal muscular atrophy is a neurodegenerative disorder, which may be associated with progressive respiratory failure. Our aim is to describe the peak cough flow of children and young people with spinal muscular atrophy types II and III. This is a descriptive, cross-sectional study conducted at a neuropediatrics outpatient clinic between March 2011 and May 2012, with patients with spinal muscular atrophy types II and III, and aging more than 5 years. Out of the 53 eligible patients, 21 participated in the research. The measurement of peak cough flow was carried out through the peak flow meter, with patients sitting and lying down. After taking three measures, we selected the one with the highest value among them. Type-III individuals reached peak cough flow values higher than those of type-II individuals. Measures taken in the sitting position (SMA II 159.4 l/min; SMA III 287.9 l/min) were higher than those measured in the lying position (SMA II 146.9 l/min; SMA III 257.5 l/min), with significant difference (p-value=0.008 in sitting position, and p=0.033 in lying position). We concluded that individuals with SMA III manifest higher PCF, especially when sitting, in comparison with SMA II.A atrofia muscular espinhal é uma doença neurodegenerativa, que pode cursar com insuficiência respiratória progressiva. O objetivo deste trabalho é descrever o pico de fluxo de tosse de crianças e jovens com atrofia muscular espinhal dos tipos II e III. Trata-se de um estudo transversal descritivo realizado em ambulatório de neuropediatria entre março de 2011 e maio de 2012, com pacientes com atrofia muscular e espinhal dos tipos II e III com mais de 5 anos de idade. Dos 53 pacientes elegíveis, 21 participaram da pesquisa. A medição do pico de fluxo de tosse foi realizada através do peak flow meter com os pacientes sentados e deitados. Após registradas três medidas, foi selecionada a maior entre elas. Os indivíduos do tipo III alcançaram valores de pico de fluxo de tosse superiores aos dos indivíduos do tipo II. As medidas tomadas em posição sentada (AME tipo II 159,4 l/min; AME tipo III 287,9 l/min) foram superiores às medidas em posição deitada (AME tipo II 146,9 l/min; AME tipo III 257,5 l/min), com diferença significativa (p-valor=0,008 posição sentada e p=0,033 posição deitada). Concluiuse que indivíduos com AME tipo III apresentam maior PFT, principalmente quando sentados, em comparação com o tipo II

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

NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

Xenarthrans—anteaters, sloths, and armadillos—have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans data set. Please cite this data paper when using its data in publications. We also request that researchers and teachers inform us of how they are using these data

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field