Is there a correlation between depressive symptoms and motor skills in post-stroke patients?

Deficits in motor skills and depressive symptoms are common effects observed after stroke, so it is necessary to understand how these variables interact with each other. Therefore, the aim of this study was to investigate the relationship between these two variables in post-ischemic stroke patients. We evaluated 135 patients with a mean age of 60 years (+/- 15). The Fugl-Meyer assessment of motor function was used to assess motor skills in the upper limbs, lower limbs, balance, and sensitivity and the Beck Depression Inventory was applied to evaluate depressive symptoms. To assess the relationship between both components, Spearman's correlation was performed. Depressive symptoms were negatively correlated with all variables of motor skills. This study suggests that higher motor skills in post-stroke patients may be associated with fewer depressive symptoms. Thus, a better understanding of how post-stroke symptoms are interrelated may improve patient treatment and care, contributing to a better quality of life773155156COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES01-P-03504/201

Synthesis, structure and anti-fungal activity of dimeric Ag(I) complexes containing bis-imidazole ligands

Five Ag(I) complexes containing the ligands bis(imidazol-2-yl)methane (2-BIM) and its derivatives were prepared and [Ag2(2-BIM)2](ClO4)2 and [Ag2(2-BIM(Bz)OH)2](ClO4)2 EtOH were characterised using X-ray crystallography. In each dimer the two Ag(I) ions are two-coordinate and there are small but definite argentophilic Ag-Ag (d10-d10) interactions. All of the complexes display anti-fungal activity when tested in vitro against the fungal pathogen Candida albicans

Síndrome de Erasmus

En 1957, L. D. Erasmus comunicó la asociación entre sílice y esclerosis sistémica, destacando la importancia de la exposición a sílice como un factor de riesgo para el desarrollo de esclerodermia ocupacional. Si bien existen reportes de la interacción entre sílice y el sistema inmune, continúa siendo actualmente una asociación infrecuente. El objetivo es presentar un paciente varón de 41 años con esclerosis sistémica e historia de exposición a gran cantidad de polvo de sílice, que desarrolló síndrome de Erasmus. Realizamos además una revisión de la literatura

Transtorno Dissociativo de Identidade em um paciente com 12 personalidades: um relato de caso

O mecanismo traumático está relacionado concretamente com os transtornos dissociativos de um modo geral. Dentre esses, importância ímpar deve ser atribuída ao transtorno dissociativo de identidade, cujo trauma na infância é fortemente citado como fator causal associado. Apesar de possuir guidelines específicos para auxiliar na sua avaliação, investigação e tratamento, ainda é bastante subdiagnosticado, sendo muitas vezes tardiamente abordado por especialistas. Esse artigo descreve o caso de um paciente de 15 anos diagnosticado com esse transtorno e comenta sobre critérios diagnósticos, epidemiológicos e o manejo desse tipo de transtorno dissociativo

Uso de laserterapia no tratamento de ferida em metatarso de equino – relato de caso / Use of laser therapy in the treatment of a metatarsal wound in a horse - case report

As feridas cutâneas são problemas muito frequentes na clínica de equinos. Geralmente não são consideradas afecções graves, porém, se não forem devidamente tratadas, podem resultar em lesões com tecido de granulação exuberante, extremamente difíceis de regredirem por completo e cicatrizarem adequadamente. Algumas terapias alternativas vêm sendo utilizadas no tratamento de feridas cutâneas, com o intuito de acelerar a cicatrização e trazer conforto aos animais

VITILIGO: UMA ANÁLISE MULTIDISCIPLINAR SOBRE AS CAUSAS E O TRATAMENTO DESSA DOENÇA AUTOIMUNE

Vitiligo is an acquired disease of unknown cause, in which there is selective destruction of melanin-producing cells (melanocytes) and is characterized by depigmented patches that can vary in number, size, shape and location. Vitiligo is a multifactorial disease that has genetic, autoimmune and environmental hypotheses regarding its etiopathogenesis, with the autoimmune hypothesis being the most accepted (Furtado, Oliveira & Muller, 2017). The site of onset of depigmented lesions and their distribution tend to reach more frequently the region of the head, limbs and trunk, respectively, and the least affected are the mucous membranes. The average age of disease onset is around the second to third decade of life (Nunes & Esser, 2011). Vitiligo is divided into two groups, which are non-segmental and segmental. The non-segmental type comprises focal, mucosal, acrofacial, common and universal forms. The segmental group has only the segmental clinical type, which generally affects only one hemibody and has a slower response to non-surgical treatment than the non-segmental type. Regarding the diagnosis of the disease, it should be noted that the patient's history and physical examinations form the basis of the investigation. A method that helps in the diagnosis is the cutaneous biopsy that reveals the absence of melanocytes in the affected areas, another fundamental exam is the exam carried out with a Wood lamp in patients with white skin, for a better detection of the affected areas (LOPES, 2006). The treatment of vitiligo is to prevent the disease from progressing, in addition to stimulating pigmentation. Topical corticosteroids in monotherapy constitute the first line in the treatment of localized unstable vitiligo, with recent lesions and lesions on the face showing the best response. Furthermore, calcineurin inhibitors proved to be effective and safe in the treatment of vitiligo in both children and adults, in addition to phototherapy and Excimer laser, which showed good results in the treatment of vitiligo.O vitiligo é uma doença de causa desconhecida adquirida, na qual ocorre a destruição seletiva das células produtoras de melanina (melanócitos) e é caracterizado por manchas despigmentadas que podem variar de número, tamanho, formas e local. O vitiligo é uma doença multifatorial que possui hipóteses genéticas, autoimunes e ambientais quanto a sua etiopatogenia, sendo a hipótese autoimune a mais aceita (Furtado, Oliveira & Muller, 2017). O local de início das lesões despigmentadas e a sua distribuição costuma-se atingir com mais frequência a região da cabeça, membros e tronco, respectivamente e os menos afetados são as membranas mucosas. A média de idade de início da doença é em torno da segunda até a terceira década de vida (Nunes & Esser, 2011). O vitiligo se divide em dois grupos, que são eles o não segmentar e o segmentar. O tipo não segmentar compreende as formas focal, mucosal, acrofacial, comum e universal. Já o grupo segmentar tem apenas o tipo clínico segmentar, que afeta geralmente apenas um hemicorpo e tem uma resposta mais lenta ao tratamento não cirúrgico do que o tipo não segmentar. Sobre o diagnostico da doença, cabe ressaltar que o histórico do paciente e exames físicos constituem a base da investigação. Um método que auxilia no diagnostico é a biopsia cutânea que revela a ausência de melanócitos nas zonas afetadas, outro exame fundamental é o exame feito com lâmpada de Wood nos pacientes com pele branca, para a melhor detecção das áreas acometidas (LOPES, 2006). O tratamento do vitiligo é fazer com que a doença não progrida, além de estimular a pigmentação.  Os corticoides tópicos em monoterapia constituem a primeira linha no tratamento do vitiligo instável localizado, sendo as lesões recentes e as lesões da face as que apresentam melhor resposta. Além disso, os inibidores de calcineurina mostraram‐se eficazes e seguros no tratamento do vitiligo tanto em crianças quanto em adultos, além da fototerapia e do Excimer laser que apresentaram bons resultados no tratamento do vitiligo

Detailed stratified GWAS analysis for severe COVID-19 in four European populations

Given the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), a deeper analysis of the host genetic contribution to severe COVID-19 is important to improve our understanding of underlying disease mechanisms. Here, we describe an extended genome-wide association meta-analysis of a well-characterized cohort of 3255 COVID-19 patients with respiratory failure and 12 488 population controls from Italy, Spain, Norway and Germany/Austria, including stratified analyses based on age, sex and disease severity, as well as targeted analyses of chromosome Y haplotypes, the human leukocyte antigen region and the SARS-CoV-2 peptidome. By inversion imputation, we traced a reported association at 17q21.31 to a ~0.9-Mb inversion polymorphism that creates two highly differentiated haplotypes and characterized the potential effects of the inversion in detail. Our data, together with the 5th release of summary statistics from the COVID-19 Host Genetics Initiative including non-Caucasian individuals, also identified a new locus at 19q13.33, including NAPSA, a gene which is expressed primarily in alveolar cells responsible for gas exchange in the lung.S.E.H. and C.A.S. partially supported genotyping through a philanthropic donation. A.F. and D.E. were supported by a grant from the German Federal Ministry of Education and COVID-19 grant Research (BMBF; ID:01KI20197); A.F., D.E. and F.D. were supported by the Deutsche Forschungsgemeinschaft Cluster of Excellence ‘Precision Medicine in Chronic Inflammation’ (EXC2167). D.E. was supported by the German Federal Ministry of Education and Research (BMBF) within the framework of the Computational Life Sciences funding concept (CompLS grant 031L0165). D.E., K.B. and S.B. acknowledge the Novo Nordisk Foundation (NNF14CC0001 and NNF17OC0027594). T.L.L., A.T. and O.Ö. were funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project numbers 279645989; 433116033; 437857095. M.W. and H.E. are supported by the German Research Foundation (DFG) through the Research Training Group 1743, ‘Genes, Environment and Inflammation’. L.V. received funding from: Ricerca Finalizzata Ministero della Salute (RF-2016-02364358), Italian Ministry of Health ‘CV PREVITAL’—strategie di prevenzione primaria cardiovascolare primaria nella popolazione italiana; The European Union (EU) Programme Horizon 2020 (under grant agreement No. 777377) for the project LITMUS- and for the project ‘REVEAL’; Fondazione IRCCS Ca’ Granda ‘Ricerca corrente’, Fondazione Sviluppo Ca’ Granda ‘Liver-BIBLE’ (PR-0391), Fondazione IRCCS Ca’ Granda ‘5permille’ ‘COVID-19 Biobank’ (RC100017A). A.B. was supported by a grant from Fondazione Cariplo to Fondazione Tettamanti: ‘Bio-banking of Covid-19 patient samples to support national and international research (Covid-Bank). This research was partly funded by an MIUR grant to the Department of Medical Sciences, under the program ‘Dipartimenti di Eccellenza 2018–2022’. This study makes use of data generated by the GCAT-Genomes for Life. Cohort study of the Genomes of Catalonia, Fundació IGTP (The Institute for Health Science Research Germans Trias i Pujol) IGTP is part of the CERCA Program/Generalitat de Catalunya. GCAT is supported by Acción de Dinamización del ISCIII-MINECO and the Ministry of Health of the Generalitat of Catalunya (ADE 10/00026); the Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR) (2017-SGR 529). M.M. received research funding from grant PI19/00335 Acción Estratégica en Salud, integrated in the Spanish National RDI Plan and financed by ISCIII-Subdirección General de Evaluación and the Fondo Europeo de Desarrollo Regional (European Regional Development Fund (FEDER)-Una manera de hacer Europa’). B.C. is supported by national grants PI18/01512. X.F. is supported by the VEIS project (001-P-001647) (co-funded by the European Regional Development Fund (ERDF), ‘A way to build Europe’). Additional data included in this study were obtained in part by the COVICAT Study Group (Cohort Covid de Catalunya) supported by IsGlobal and IGTP, European Institute of Innovation & Technology (EIT), a body of the European Union, COVID-19 Rapid Response activity 73A and SR20-01024 La Caixa Foundation. A.J. and S.M. were supported by the Spanish Ministry of Economy and Competitiveness (grant numbers: PSE-010000-2006-6 and IPT-010000-2010-36). A.J. was also supported by national grant PI17/00019 from the Acción Estratégica en Salud (ISCIII) and the European Regional Development Fund (FEDER). The Basque Biobank, a hospital-related platform that also involves all Osakidetza health centres, the Basque government’s Department of Health and Onkologikoa, is operated by the Basque Foundation for Health Innovation and Research-BIOEF. M.C. received Grants BFU2016-77244-R and PID2019-107836RB-I00 funded by the Agencia Estatal de Investigación (AEI, Spain) and the European Regional Development Fund (FEDER, EU). M.R.G., J.A.H., R.G.D. and D.M.M. are supported by the ‘Spanish Ministry of Economy, Innovation and Competition, the Instituto de Salud Carlos III’ (PI19/01404, PI16/01842, PI19/00589, PI17/00535 and GLD19/00100) and by the Andalussian government (Proyectos Estratégicos-Fondos Feder PE-0451-2018, COVID-Premed, COVID GWAs). The position held by Itziar de Rojas Salarich is funded by grant FI20/00215, PFIS Contratos Predoctorales de Formación en Investigación en Salud. Enrique Calderón’s team is supported by CIBER of Epidemiology and Public Health (CIBERESP), ‘Instituto de Salud Carlos III’. J.C.H. reports grants from Research Council of Norway grant no 312780 during the conduct of the study. E.S. reports grants from Research Council of Norway grant no. 312769. The BioMaterialBank Nord is supported by the German Center for Lung Research (DZL), Airway Research Center North (ARCN). The BioMaterialBank Nord is member of popgen 2.0 network (P2N). P.K. Bergisch Gladbach, Germany and the Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany. He is supported by the German Federal Ministry of Education and Research (BMBF). O.A.C. is supported by the German Federal Ministry of Research and Education and is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy—CECAD, EXC 2030–390661388. The COMRI cohort is funded by Technical University of Munich, Munich, Germany. This work was supported by grants of the Rolf M. Schwiete Stiftung, the Saarland University, BMBF and The States of Saarland and Lower Saxony. K.U.L. is supported by the German Research Foundation (DFG, LU-1944/3-1). Genotyping for the BoSCO study is funded by the Institute of Human Genetics, University Hospital Bonn. F.H. was supported by the Bavarian State Ministry for Science and Arts. Part of the genotyping was supported by a grant to A.R. from the German Federal Ministry of Education and Research (BMBF, grant: 01ED1619A, European Alzheimer DNA BioBank, EADB) within the context of the EU Joint Programme—Neurodegenerative Disease Research (JPND). Additional funding was derived from the German Research Foundation (DFG) grant: RA 1971/6-1 to A.R. P.R. is supported by the DFG (CCGA Sequencing Centre and DFG ExC2167 PMI and by SH state funds for COVID19 research). F.T. is supported by the Clinician Scientist Program of the Deutsche Forschungsgemeinschaft Cluster of Excellence ‘Precision Medicine in Chronic Inflammation’ (EXC2167). C.L. and J.H. are supported by the German Center for Infection Research (DZIF). T.B., M.M.B., O.W. und A.H. are supported by the Stiftung Universitätsmedizin Essen. M.A.-H. was supported by Juan de la Cierva Incorporacion program, grant IJC2018-035131-I funded by MCIN/AEI/10.13039/501100011033. E.C.S. is supported by the Deutsche Forschungsgemeinschaft (DFG; SCHU 2419/2-1).Peer reviewe

Detailed stratified GWAS analysis for severe COVID-19 in four European populations

Given the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), a deeper analysis of the host genetic contribution to severe COVID-19 is important to improve our understanding of underlying disease mechanisms. Here, we describe an extended GWAS meta-analysis of a well-characterized cohort of 3,260 COVID-19 patients with respiratory failure and 12,483 population controls from Italy, Spain, Norway and Germany/Austria, including stratified analyses based on age, sex and disease severity, as well as targeted analyses of chromosome Y haplotypes, the human leukocyte antigen (HLA) region and the SARS-CoV-2 peptidome. By inversion imputation, we traced a reported association at 17q21.31 to a highly pleiotropic ∼0.9-Mb inversion polymorphism and characterized the potential effects of the inversion in detail. Our data, together with the 5th release of summary statistics from the COVID-19 Host Genetics Initiative, also identified a new locus at 19q13.33, including NAPSA, a gene which is expressed primarily in alveolar cells responsible for gas exchange in the lung.Andre Franke and David Ellinghaus were supported by a grant from the German Federal Ministry of Education and Research (01KI20197), Andre Franke, David Ellinghaus and Frauke Degenhardt were supported by the Deutsche Forschungsgemeinschaft Cluster of Excellence “Precision Medicine in Chronic Inflammation” (EXC2167). David Ellinghaus was supported by the German Federal Ministry of Education and Research (BMBF) within the framework of the Computational Life Sciences funding concept (CompLS grant 031L0165). David Ellinghaus, Karina Banasik and Søren Brunak acknowledge the Novo Nordisk Foundation (grant NNF14CC0001 and NNF17OC0027594). Tobias L. Lenz, Ana Teles and Onur Özer were funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project numbers 279645989; 433116033; 437857095. Mareike Wendorff and Hesham ElAbd are supported by the German Research Foundation (DFG) through the Research Training Group 1743, "Genes, Environment and Inflammation". This project was supported by a Covid-19 grant from the German Federal Ministry of Education and Research (BMBF; ID: 01KI20197). Luca Valenti received funding from: Ricerca Finalizzata Ministero della Salute RF2016-02364358, Italian Ministry of Health ""CV PREVITAL – strategie di prevenzione primaria cardiovascolare primaria nella popolazione italiana; The European Union (EU) Programme Horizon 2020 (under grant agreement No. 777377) for the project LITMUS- and for the project ""REVEAL""; Fondazione IRCCS Ca' Granda ""Ricerca corrente"", Fondazione Sviluppo Ca' Granda ""Liver-BIBLE"" (PR-0391), Fondazione IRCCS Ca' Granda ""5permille"" ""COVID-19 Biobank"" (RC100017A). Andrea Biondi was supported by the grant from Fondazione Cariplo to Fondazione Tettamanti: "Biobanking of Covid-19 patient samples to support national and international research (Covid-Bank). This research was partly funded by a MIUR grant to the Department of Medical Sciences, under the program "Dipartimenti di Eccellenza 2018–2022". This study makes use of data generated by the GCAT-Genomes for Life. Cohort study of the Genomes of Catalonia, Fundació IGTP. IGTP is part of the CERCA Program / Generalitat de Catalunya. GCAT is supported by Acción de Dinamización del ISCIIIMINECO and the Ministry of Health of the Generalitat of Catalunya (ADE 10/00026); the Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR) (2017-SGR 529). Marta Marquié received research funding from ant PI19/00335 Acción Estratégica en Salud, integrated in the Spanish National RDI Plan and financed by ISCIIISubdirección General de Evaluación and the Fondo Europeo de Desarrollo Regional (FEDER-Una manera de hacer Europa").Beatriz Cortes is supported by national grants PI18/01512. Xavier Farre is supported by VEIS project (001-P-001647) (cofunded by European Regional Development Fund (ERDF), “A way to build Europe”). Additional data included in this study was obtained in part by the COVICAT Study Group (Cohort Covid de Catalunya) supported by IsGlobal and IGTP, EIT COVID-19 Rapid Response activity 73A and SR20-01024 La Caixa Foundation. Antonio Julià and Sara Marsal were supported by the Spanish Ministry of Economy and Competitiveness (grant numbers: PSE-010000-2006-6 and IPT-010000-2010-36). Antonio Julià was also supported the by national grant PI17/00019 from the Acción Estratégica en Salud (ISCIII) and the FEDER. The Basque Biobank is a hospitalrelated platform that also involves all Osakidetza health centres, the Basque government's Department of Health and Onkologikoa, is operated by the Basque Foundation for Health Innovation and Research-BIOEF. Mario Cáceres received Grants BFU2016-77244-R and PID2019-107836RB-I00 funded by the Agencia Estatal de Investigación (AEI, Spain) and the European Regional Development Fund (FEDER, EU). Manuel Romero Gómez, Javier Ampuero Herrojo, Rocío Gallego Durán and Douglas Maya Miles are supported by the “Spanish Ministry of Economy, Innovation and Competition, the Instituto de Salud Carlos III” (PI19/01404, PI16/01842, PI19/00589, PI17/00535 and GLD19/00100), and by the Andalussian government (Proyectos Estratégicos-Fondos Feder PE-0451-2018, COVID-Premed, COVID GWAs). The position held by Itziar de Rojas Salarich is funded by grant FI20/00215, PFIS Contratos Predoctorales de Formación en Investigación en Salud. Enrique Calderón's team is supported by CIBER of Epidemiology and Public Health (CIBERESP), "Instituto de Salud Carlos III". Jan Cato Holter reports grants from Research Council of Norway grant no 312780 during the conduct of the study. Dr. Solligård: reports grants from Research Council of Norway grant no 312769. The BioMaterialBank Nord is supported by the German Center for Lung Research (DZL), Airway Research Center North (ARCN). The BioMaterialBank Nord is member of popgen 2.0 network (P2N). Philipp Koehler has received non-financial scientific grants from Miltenyi Biotec GmbH, Bergisch Gladbach, Germany, and the Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases, University of Cologne, Cologne, Germany. He is supported by the German Federal Ministry of Education and Research (BMBF).Oliver A. Cornely is supported by the German Federal Ministry of Research and Education and is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – CECAD, EXC 2030 – 390661388. The COMRI cohort is funded by Technical University of Munich, Munich, Germany. Genotyping was performed by the Genotyping laboratory of Institute for Molecular Medicine Finland FIMM Technology Centre, University of Helsinki. This work was supported by grants of the Rolf M. Schwiete Stiftung, the Saarland University, BMBF and The States of Saarland and Lower Saxony. Kerstin U. Ludwig is supported by the German Research Foundation (DFG, LU-1944/3-1). Genotyping for the BoSCO study is funded by the Institute of Human Genetics, University Hospital Bonn. Frank Hanses was supported by the Bavarian State Ministry for Science and Arts. Part of the genotyping was supported by a grant to Alfredo Ramirez from the German Federal Ministry of Education and Research (BMBF, grant: 01ED1619A, European Alzheimer DNA BioBank, EADB) within the context of the EU Joint Programme – Neurodegenerative Disease Research (JPND). Additional funding was derived from the German Research Foundation (DFG) grant: RA 1971/6-1 to Alfredo Ramirez. Philip Rosenstiel is supported by the DFG (CCGA Sequencing Centre and DFG ExC2167 PMI and by SH state funds for COVID19 research). Florian Tran is supported by the Clinician Scientist Program of the Deutsche Forschungsgemeinschaft Cluster of Excellence “Precision Medicine in Chronic Inflammation” (EXC2167). Christoph Lange and Jan Heyckendorf are supported by the German Center for Infection Research (DZIF). Thorsen Brenner, Marc M Berger, Oliver Witzke und Anke Hinney are supported by the Stiftung Universitätsmedizin Essen. Marialbert Acosta-Herrera was supported by Juan de la Cierva Incorporacion program, grant IJC2018-035131-I funded by MCIN/AEI/10.13039/501100011033. Eva C Schulte is supported by the Deutsche Forschungsgemeinschaft (DFG; SCHU 2419/2-1).N