RECONSTRUÇÃO CIRÚRGICA DA TÍBIA EM FRATURA MAL CONSOLIDADA EM UM CÃO

The aim of this study is to report a case of tibial surgical reconstruction in a poorly consolidated canine fracture, emphasizing the versatility of the external skeletal fixator (ESF) and the importance of the cancellous graft as an adjunct to healing. For surgical reconstruction of the tibia, it was refracted and then aligned with support by temporary Steinmann intramedullary pin. External skeletal fixation was applied in association with bone grafting of spongy autogenous tissue collected by iliac wing. In the post-surgical protocol, the same care and medications as usual for osteosynthesis were recommended. Fracture line loss and bone callus formation were observed thirty-five days after the surgery, allowing the removal of the ESF. The animal returned to support the limb normally, only with a slight shortening of the limb, but without prejudice to the walking.Objetiva-se com este trabalho relatar um caso de reconstrução cirúrgica tibial em uma fratura mal consolidada em um canino, salientando a versatilidade do fixador esquelético externo (FEE) e a importância do enxerto esponjoso como coadjuvante da cicatrização. Para a reconstrução cirúrgica da tíbia, esta foi refraturada, e em seguida, alinhada com o auxílio de pino intramedular de Steinmann temporário. Empregou-se fixação esquelética externa associada à enxertia óssea esponjosa autógena coletada da asa do ílio. No protocolo pós-cirúrgico, foi recomendado os mesmos cuidados e medicações de uma osteossíntese habitual. Decorridos 35 dias da cirurgia, observou-se perda da linha de fratura e formação de calo ósseo, permitindo a remoção do FEE. O animal voltou a apoiar o membro normalmente, apenas com um leve encurtamento do mesmo, mas sem prejuízo à deambulação

FRATURAS APENDICULARES EM CÃES E GATOS: CASUÍSTICA

The occurrence of fractures is common in dogs and cats, especially those caused by being run over. Therefore, a retrospective study of dogs and cats attended between April 2013 and April 2020 at the Veterinary Hospital of the Regional University of the Northwest of the State of Rio Grande do Sul was carried out. The study aimed to identify the prevalence of appendicular fractures, the etiology, and the treatment. Among 222 animals, 197 (88.7%) were dogs and 25 (11.3%) were cats, which presented 254 appendicular fractures. Regarding the fractures, the following results were observed: 86 fractures of femur (33.9%), 58 fractures of tibia and fibula (22.8%), 24 fractures of pelvis (9.4%), 39 fractures of radius and ulna (15.4%), 40 fractures of humerus (15.7%), 3 fractures of scapular (1.2%), 3 fractures of metatarsal (1.2%), and 1 fracture of metacarpal (0.4%). The most affected animals were dogs: male (n = 100; 57.8%), aged up to three years (n=123; 62.4%), mixed breed (n=95; 45%), small size (n=123; 62.4%). In conclusion, the animals profile with appendicular fractures of the Northwest Region of Rio Grande do Sul is: male dogs, mixed breed, young, small, and with femur as the most affected bone due to automobile accidents.A ocorrência de fraturas é comum em cães e gatos, principalmente as ocasionadas por atropelamento. Diante disso, um estudo retrospectivo de cães e gatos atendidos entre abril de 2013 e abril de 2020 no Hospital Veterinário da Universidade Regional do Noroeste do Estado do Rio Grande do Sul foi realizado. O estudo teve como objetivo identificar a prevalência das fraturas apendiculares, a etiologia e o tratamento. De um total de 222 animais, 197 (88,7%) eram cães e 25 (11,3%) eram gatos, os quais apresentaram 254 fraturas apendiculares. Quanto às fraturas, os seguintes resultados foram observados: 86 fraturas de fêmur (33,9%), 58 fraturas de tíbia e fíbula (22,8%), 24 fraturas da pelve (9,4%), 39 fraturas do rádio e da ulna (15,4%), 40 fraturas do úmero (15,7%), 3 fraturas de escápula (1,2%), 3 fraturas de metatarso (1,2%) e 1 fratura de metacarpo (0,4%). Os animais mais afetados foram os cães: machos (n=100; 57,8%), com idade de até três anos (n=123; 62,4%), sem raça definida (n=95; 45%), de porte pequeno (n=123; 62,4%). Desta forma, conclui-se que o perfil de animais com fraturas apendiculares da Região Noroeste do Rio Grande do Sul é: cães machos, sem raça definida, jovens, de pequeno porte, sendo que o fêmur foi o osso mais acometido devido a acidentes automobilísticos

Effect of Syzygium cumini and Bauhinia forficata aqueous-leaf extracts on oxidative and mitochondrial parameters in vitro

Aqueous-leaf extract of Syzygium cumini and Bauhinia forficata are traditionally used in the treatment of diabetes and cancer, especially in South America, Africa, and Asia. In this study, we analyzed the effects of these extracts on oxidative and mitochondrial parameters in vitro, as well as their protective activities against toxic agents. Phytochemical screenings of the extracts were carried out by HPLC analysis. The in vitro antioxidant capacities were compared by DPPH radical scavenging and Fe2+ chelating activities. Mitochondrial parameters observed were swelling, lipid peroxidation and dehydrogenase activity. The major chemical constituent of S. cumini was rutin. In B. forficata were predominant quercetin and gallic acid. S. cumini reduced DPPH radical more than B. forficata, and showed iron chelating activity at all tested concentrations, while B. forficata had not similar property. In mitochondria, high concentrations of B. forficata alone induced a decrease in mitochondrial dehydrogenase activity, but low concentrations of this extract prevented the effect induced by Fe2++H2O2. This was also observed with high concentrations of S. cumini. Both extracts partially prevented the lipid peroxidation induced by Fe2+/citrate. S. cumini was effective against mitochondrial swelling induced by Ca2+, while B. forficata alone induced swelling more than Ca2+. This study suggests that leaf extract of S. cumini might represent a useful therapeutic for the treatment of diseases related with mitochondrial dysfunctions. On the other hand, the consumption of B. forficata should be avoided because mitochondrial damages were observed, and this possibly may pose risk to human health

EFFECT OF SYZYGIUM CUMINI AND BAUHINIA FORFICATA AQUEOUS-LEAF EXTRACTS ON OXIDATIVE AND MITOCHONDRIAL PARAMETERS IN VITRO

ABSTRACT Aqueous-leaf extract of Syzygium cumini and Bauhinia forficata are traditionally used in the treatment of diabetes and cancer, especially in South America, Africa, and Asia. In this study, we analyzed the effects of these extracts on oxidative and mitochondrial parameters in vitro, as well as their protective activities against toxic agents. Phytochemical screenings of the extracts were carried out by HPLC analysis. The in vitro antioxidant capacities were compared by DPPH radical scavenging and Fe 2+ chelating activities. Mitochondrial parameters observed were swelling, lipid peroxidation and dehydrogenase activity. The major chemical constituent of S. cumini was rutin. In B. forficata were predominant quercetin and gallic acid. S. cumini reduced DPPH radical more than B. forficata, and showed iron chelating activity at all tested concentrations, while B. forficata had not similar property. In mitochondria, high concentrations of B. forficata alone induced a decrease in mitochondrial dehydrogenase activity, but low concentrations of this extract prevented the effect induced by Fe 2+ +H 2 O 2 . This was also observed with high concentrations of S. cumini. Both extracts partially prevented the lipid peroxidation induced by Fe 2+ /citrate. S. cumini was effective against mitochondrial swelling induced by Ca 2+ , while B. forficata alone induced swelling more than Ca 2+ . This study suggests that leaf extract of S. cumini might represent a useful therapeutic for the treatment of diseases related with mitochondrial dysfunctions. On the other hand, the consumption of B. forficata should be avoided because mitochondrial damages were observed, and this possibly may pose risk to human health

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

Global maps of soil temperature

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km² resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e., offset) between in-situ soil temperature measurements, based on time series from over 1200 1-km² pixels (summarized from 8500 unique temperature sensors) across all the world’s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in-situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

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

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

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