Limb girdle muscular dystrophy type 2G with myopathic-neurogenic motor unit potentials and a novel muscle image pattern

Abstract\ud \ud Background\ud Limb girdle muscular dystrophy type 2G (LGMD2G) is a subtype of autosomal recessive muscular dystrophy caused by mutations in the telethonin gene. There are few LGMD2G patients worldwide reported, and this is the first description associated with early tibialis anterior sparing on muscle image and myopathic-neurogenic motor unit potentials.\ud \ud \ud Case presentation\ud Here we report a 31 years old caucasian male patient with progressive gait disturbance, and severe lower limb proximal weakness since the age of 20 years, associated with subtle facial muscle weakness. Computed tomography demonstrated soleus, medial gastrocnemius, and diffuse thigh muscles involvement with tibialis anterior sparing. Electromyography disclosed both neurogenic and myopathic motor unit potentials. Muscle biopsy demonstrated large groups of atrophic and hypertrophic fibers, frequent fibers with intracytoplasmic rimmed vacuoles full of autophagic membrane and sarcoplasmic debris, and a total deficiency of telethonin. Molecular investigation identified the common homozygous c.157C > T in the TCAP gene.\ud \ud \ud Conclusion\ud This report expands the phenotypic variability of telethoninopathy/ LGMD2G, including: 1) mixed neurogenic and myopathic motor unit potentials, 2) facial weakness, and 3) tibialis anterior sparing. Appropriate diagnosis in these cases is important for genetic counseling and prognosis.We wish to thank the patient for participation in this study. We acknowledge\ud Cleides Campos de Oliveira, Leticia Nogueira and Simone Ferreira do\ud Nascimento for technical assistance. MV, LUY and CFA are supported by\ud FAPESP-CEPID, and INCT-CNPq, Capes- COFECUB

Perfil de pacientes portadores de Diabetes mellitus e seus principais riscos cardiovasculares

No Brasil a diabetes, é causa de importante atenção, por ter se tornado um problema de saúde pública. É uma doença metabólica, que acontece por conta do pâncreas não secretar insulina corretamente ou pela diminuição da sensibilidade dos tecidos em receber a insulina. As principais classificações são a diabete Melittus tipo 1, tipo 2 e gestacional. Doenças Cardiovasculares instituem a primeira causa de morte no mundo e no Brasil, mais de 70% dos pacientes acometidos com DM2 morrem de Doenças Cardiovasculares e não apenas são causas de óbitos, mas também podem causar danos irreversíveis. A Diabetes é reconhecida como fator de risco, independente para doença cardiovascular.  Dentre os riscos cardiovasculares, os mais comuns em pessoas com diabetes são o sedentarismo, obesidade, dislipidemia e hipertensão. Os pacientes com diabetes tipo 2 apresentam um maior volume de ateroma, menor diâmetro do lúmen das artérias coronárias e maior carga aterosclerótica. A resistência a insulina, independente de ser sistêmica ou vascular, está associada a maior incidência dislipidêmica e hipertensão. Um dos fatores que aceleram o processo de calcificação vascular é a hiperglicemia, pacientes com diabetes melittus apresentam índices mais elevados de calcificação arterial. A redução de hiperglicemia caminhar junto ao controle de risco cardiovascular

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

Forame oval patente e acidente vascular cerebral isquêmico em jovens: associação causal ou estatística?

OBJETIVOS: Determinar se há evidências de uma relação causal entre forame oval patente (FOP) e acidente vascular cerebral isquêmico (AVCI) criptogênico em jovens. Analisar essa relação à luz dos critérios de causalidade. MÉTODOS: Avaliaram-se, retrospectivamente, 168 pacientes jovens com AVCI, divididos em dois grupos: criptogênico e de causa definida. Como parte da rotina, os pacientes foram submetidos a pesquisa de FOP por ecocardiograma transesofágico e/ou Doppler transcraniano, ambos associados ao teste de bolhas. Demonstrada a associação estatística univariada entre FOP e AVCI, procedeu-se a análise multivariada. RESULTADOS: Após análise multivariada, a associação FOP e AVCI criptogênico mostrou-se ainda estatisticamente significante, com razão de chance (RCajustada de 3,3 (IC95% 1,5-7,4). O número total de lesões no encéfalo também apresentou associação significativa com o AVCI criptogênico (RCajustada= 0,4 IC95% 0,2-0,9). A associação FOP e AVCI criptogênico satisfez todos os critérios de causalidade. CONCLUSÃO: A relação causal entre o FOP e o AVCI criptogênico em jovens é altamente provável. Esse fato deve ser considerado na decisão terapêutica

Common recessive limb girdle muscular dystrophies differential diagnosis: why and how?

Limb girdle muscular dystrophies are heterogeneous autosomal hereditary neuromuscular disorders. They produce dystrophic changes on muscle biopsy and they are associated with mutations in several genes involved in muscular structure and function. Detailed clinical, laboratorial, imaging, diagnostic flowchart, photographs, tables, and illustrated diagrams are presented for the differential diagnosis of common autosomal recessive limb girdle muscular dystrophy subtypes diagnosed nowadays at one reference center in Brazil. Preoperative image studies guide muscle biopsy site selection. Muscle involvement image pattern differs depending on the limb girdle muscular dystrophy subtype. Muscle involvement is conspicuous at the posterior thigh in calpainopathy and fukutin-related proteinopathy; anterior thigh in sarcoglycanopathy; whole thigh in dysferlinopathy, and telethoninopathy. The precise differential diagnosis of limb girdle muscular dystrophies is important for genetic counseling, prognostic orientation, cardiac and respiratory management. Besides that, it may probably, in the future, provide specific genetic therapies for each subtype