HIPERPLASIA ENDOMETRIAL CÍSTICA EM COELHA DOMÉSTICA

Genital system disorders are frequently found in female rabbits (Oryctolagus cuniculus), with cystic endometrial hyperplasia (CHE) having a high incidence among the reported cases. This pathology is a reflection of hormonal disorders, to which female rabbits become predisposed, as their reproductive physiology is ovulation induced by copulation. Thus, in the absence of copulation, ovulation does not occur, triggering numerous hormonal changes. From this, the present study aims to report a case of HEC in a female rabbit kept as a pet. She had never copulated and did not present apparent signs of ECH during the anamnesis, demonstrating the importance of carrying out complementary tests that helped in the early diagnosis, and associated with the ovariosalpingohysterectomy treatment adopted in the present study, provided the patient's well-being.Distúrbios do sistema genital são frequentemente encontrados em coelhas-domésticas (Oryctolagus cuniculus), tendo a hiperplasia endometrial cística (HEC) alta incidência entre os casos já relatados. Essa patologia é reflexo de distúrbios hormonais, aos quais as coelhas tornam-se predisponentes, pois apresentam como fisiologia reprodutiva a ovulação induzida pela cópula. Desse modo, na ausência da cópula, a ovulação não ocorre, desencadeando inúmeras alterações hormonais. A partir disso, o presente estudo tem como objetivo relatar um caso de HEC em coelha-doméstica mantida como animal de estimação. Essa nunca havia copulado e não apresentava sinais aparentes de HEC durante a anamnese, demonstrando a importância da realização de exames complementares que auxiliaram no diagnóstico precoce, e associado ao tratamento de ovariosalpingohisterectomia adotado no presente estudo, proporcionaram o bem-estar da paciente

ADENOCARCINOMA EM CORNO UTERINO DE LAGOMORFO

Tumor lesions in the uterus can be more frequently observed in rabbits, the species represented in the present report, than in dogs and cats. Among the most diagnosed diseases in this species are those that affect the female reproductive system, especially the uterus. Uterine adenocarcinoma is a very common disease, 50 to 80% of females over 4 years old are affected. The patient in this report had a neoplasm in both uterine horns and the treatment chosen by the responsible veterinarian was the surgical procedure of ovariohysterectomy, to remove the uterus and ovaries The animal also had liver, kidney and intestinal changes, which increased the risks trans and postoperative. Thus, the present work reports the occurrence of adenocarcinoma as a result of prolonged hormonal stimuli in a female rabbit as an unconventional companion animal.Lesões tumorais em útero podem ser frequentemente mais observadas em coelhos, espécie representada zzno presente relato, que em cães e gatos. Dentre as doenças mais diagnosticadas nesta espécie, estão as que afetam o aparelho reprodutor feminino, principalmente o útero. O adenocarcinoma uterino é uma doença muito frequente, 50 a 80% das fêmeas com mais de 4 anos são afetadas. A paciente deste relato apresentou um quadro de neoplasia em ambos os cornos uterinos e o tratamento eleito pelo veterinário responsável foi o procedimento cirúrgico de ovariohisterectomia, para retirada do útero e ovários O animal também apresentava alterações hepáticas, renais e intestinais, as quais aumentavam os riscos trans e pós-operatório. Dessa forma, o presente trabalho relata a ocorrência de adenocarcinoma em decorrência de estímulos hormonais prolongados em uma coelha como animal de companhia não-convencional

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

MÉTODO ENDOSCÓPICO EM JIBÓIA PARA AVALIAÇÃO DA SAÚDE DO TRATO GASTROINTESTINAL E COLETA DE AMOSTRAS ESOFÁGICAS

Endoscopy is a visual examination of internal structures with the aid of an endoscope. In some cases, it is possible to define the etiology of the diseases and the patient's response to a particular disease, helping to define specific prognoses and therapies. It is minimally invasive, reducing surgical time and consequently the duration of anesthesia, which is desirable mainly in debilitated patients and is indicated for visualization and / or sampling of an organ or site with additional diagnostic information. In the present case, the objective was to perform endoscopic examination in a boa constrictor. This patient was anesthetized for digestive endoscopy and sample collection for histopathological examinations that allowed the definitive diagnosis of chronic histiolymphoplasmacytic esophagitis of probable bacterial origin. It was concluded that this technique made it possible, in a non-traumatic way, to obtain samples that, on histopathological examination, determined the definitive diagnosis.A endoscopia é um exame visual das estruturas internas com o auxílio de um endoscópio. Em alguns casos, é possível definir a etiologia das doenças e a resposta do paciente a uma determinada doença, auxiliando na definição de prognósticos e terapias específicas. É minimamente invasivo, reduzindo o tempo cirúrgico e consequentemente a duração da anestesia, o que é desejável principalmente em pacientes debilitados e é indicado para visualização e/ou amostragem de um órgão ou local com informações diagnósticas adicionais. No presente caso, o objetivo foi realizar o exame endoscópico em uma jiboia. Este paciente foi anestesiado para endoscopia digestiva e coleta de material para exames histopatológicos que permitiram o diagnóstico definitivo de esofagite histiolinfoplasmocítica crônica de provável origem bacteriana. Concluiu-se que esta técnica possibilitou, de forma não traumática, a obtenção de amostras que, ao exame histopatológico, determinaram o diagnóstico definitivo

AVALIAÇÃO DE SWAB CONJUNTIVAL PARA O DIAGNÓSTICO DE CINOMOSE EM CACHORROS-DO-MATO

Canine distemper has been affecting wildlife and exotic animals at risk of extinction. Before the invasion of the urban environment into the forests increases the risk of contamination of wildlife with urban pathogens. The present work aims to report the case of two crab-eating foxes (Cerdocyon thous) suspected of distemper in the Municipal Zoo Sargento Prata. Hemograms and conjunctival swab analysis of both animals were performed. Only one of the slides of the two animals showed cells containing Lentz corpuscle. The main hematological findings were thrombocytopenia and intense leukopenia. At miscrocopy, viral inclusions of Lentz were visualized in the neutrophil cytoplasm. Together with the clinical and hematological signs, the conjunctival swab presents as a good option for the diagnosis of distemper in dogs and other species of wild animals.A cinomose canina vem afetando animais silvestres e exóticos em risco de extinção. Diante da invasão do ambiente urbano nas florestas aumenta o risco de contaminação da fauna com patógenos urbanos. O presente trabalho tem como objetivo relatar o caso de dois cachorros-do-mato (Cerdocyon thous) suspeitos de cinomose no Zoológico Municipal Sargento Prata. Foram realizados hemogramas e análise de swab conjuntival de ambos os animais. Apenas uma das lâminas dos dois animais apresentou células contendo corpúsculo de Lentz. Os principais achados hematológicos foram trombocitopenia e leucopenia intensa. Na microscopia, inclusões virais de Lentz foram visualizadas no citoplasma dos neutrófilos. Juntamente com os sinais clínicos e hematológicos, o swab conjuntival apresenta-se como uma boa opção para o diagnóstico da cinomose em cães e outras espécies de animais silvestres

Origin and dynamics of admixture in Brazilians and its effect on the pattern of deleterious mutations

Submitted by Nuzia Santos ([email protected]) on 2016-02-19T13:11:37Z No. of bitstreams: 1 Origin and dynamics of admixture in Brazilians and its effect on the pattern of deleterious mutations..pdf: 501572 bytes, checksum: 45f5ed2fc0a7c2cb73e047a75457edae (MD5)Approved for entry into archive by Nuzia Santos ([email protected]) on 2016-02-19T13:37:09Z (GMT) No. of bitstreams: 1 Origin and dynamics of admixture in Brazilians and its effect on the pattern of deleterious mutations..pdf: 501572 bytes, checksum: 45f5ed2fc0a7c2cb73e047a75457edae (MD5)Made available in DSpace on 2016-02-19T13:37:09Z (GMT). No. of bitstreams: 1 Origin and dynamics of admixture in Brazilians and its effect on the pattern of deleterious mutations..pdf: 501572 bytes, checksum: 45f5ed2fc0a7c2cb73e047a75457edae (MD5) Previous issue date: 2015Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade de São Paulo. Instituto do Coração. São Paulo, SP, BrasilUniversidade Federal de Pelotas. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade de São Paulo. Instituto do Coração. São Paulo, SP, BrasilUniversidade de São Paulo. Instituto do Coração. São Paulo, SP, BrasilUniversidade Federal da Bahia. Instituto de Matemática. Departamento de Estatística. Salvador, Bahia, BrasilUniversidade Federal da Bahia. Instituto de Ciências da Saúde. Departamento de Ciências da Biointeração. Salvador, Bahia, BrasilUniversidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, BrasilUniversidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, BrasilUniversity of Leicester. Department of Genetics. Leicester, United KingdomWashington University School of Medicine. Department of Molecular Microbiology. St. Louis, MO/University of California. Department of Medicine. San Diego, CAAsociación Benéfica Proyectos en Informática, Salud, Medicina y Agricultura. Biomedical Research Unit. Lima, PeruUniversidade Federal de Santa Catarina. Embriologia e Genética. Departamento de Biologia Celular. Florianópolis, SC, BrasilUniversidade Federal de Minas Gerais. Departamento de Estatística. Belo Horizonte, MG, BrasilUniversità di Ferrara. Dipartimento di Scienze della Vita e Biotecnologie. Ferrara, ItalyJohns Hopkins University. International Health. Bloomberg School of Public Health. Baltimore, MD, USA/Universidade Peruana Cayetano Heredia. Laboratorio de Investigación de Enfermedades Infecciosas. Lima, PeruUniversity of Toronto. Center for Addiction and Mental Health. Department of Psychiatry and Neuroscience Section. Toronto, ON, CanadaUniversidade Federal de Santa Catarina. Embriologia e Genética. Departamento de Biologia Celular. Florianópolis, SC, BrasilUniversidade Federal de Santa Catarina. Embriologia e Genética. Departamento de Biologia Celular. Florianópolis, SC, BrasilInnsbruck Medical University. Molecular and Clinical Pharmacology. Department of Medical Genetics. Division of Genetic Epidemiology. Innsbruck, AustriaFrederick National Laboratory for Cancer Research. Leidos Biomedical Research. Cancer Genomics Research Laboratory. Frederick, MDLondon School of Hygiene and Tropical Medicine. Faculty of Epidemiology. Department of Infectious Disease Epidemiology. London, United KingdomUniversidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, BrasilFundação Oswaldo Cruz. Instituto de Pesquisa Rene Rachou. Belo Horizonte, MG, BrasilUniversidade de São Paulo. Instituto do Coração. São Paulo, SP, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, BrasilUniversidade Federal da Bahia. Instituto de Ciências da Saúde. Departamento de Ciências da Biointeração. Salvador, BA, Brasil.Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, Brasil.Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, Brasil.Universidade Federal de Minas Gerais. Laboratório de Computação Científica. Belo Horizonte, MG, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto de Pesquisa Rene Rachou. Belo Horizonte, MG, Brasil.Universidade Federal de Pelotas. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, Brasil.Universidade Federal de Rio Grande do Sul. Centro Nacional de Supercomputação. Porto Alegre, RS, Brasil.Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, Brasil.Fundação Oswaldo Cruz. Instituto de Pesquisa Rene Rachou. Grupo de Genômica e Biologia Computacional. Belo Horizonte, MG, Brasil.Universidade Federal de Pelotas. Programa de Pós-Graduação em Epidemiologia. Pelotas, RS, Brasil.Fundação Oswaldo Cruz. Instituto de Pesquisa Rene Rachou. Belo Horizonte, MG, Brasil.Fundação Oswaldo Cruz. Instituto de Pesquisa Rene Rachou. Belo Horizonte, MG, Brasil.Universidade Federal de Minas Gerais. Laboratório de Computação Científica. Belo Horizonte, MG, Brasil.Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, Brasil.Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Biologia Geral. Belo Horizonte, MG, Brasil.While South Americans are underrepresented in human genomic diversity studies, Brazil has been a classical model for population genetics studies on admixture.We present the results of the EPIGEN Brazil Initiative, the most comprehensive up-to-date genomic analysis of any Latin-American population. A population-based genomewide analysis of 6,487 individuals was performed in the context of worldwide genomic diversity to elucidate how ancestry, kinship, and inbreeding interact in three populations with different histories from the Northeast (African ancestry: 50%), Southeast, and South (both with European ancestry >70%) of Brazil. We showed that ancestry-positive assortative mating permeated Brazilian history. We traced European ancestry in the Southeast/South to a wider European/Middle Eastern region with respect to the Northeast, where ancestry seems restricted to Iberia. By developing an approximate Bayesian computation framework, we infer more recent European immigration to the Southeast/South than to the Northeast. Also, the observed low Native-American ancestry (6–8%) was mostly introduced in different regions of Brazil soon after the European Conquest. We broadened our understanding of the African diaspora, the major destination of which was Brazil, by revealing that Brazilians display two within-Africa ancestry components: one associated with non-Bantu/western Africans (more evident in the Northeast and African Americans) and one associated with Bantu/eastern Africans (more present in the Southeast/South). Furthermore, the whole-genome analysis of 30 individuals (42-fold deep coverage) shows that continental admixture rather than local post-Columbian history is the main and complex determinant of the individual amount of deleterious genotypes