Exfoliative Toxins of Staphylococcus aureus

Virulent strains of Staphylococcus aureus secrete exfoliative toxins (ETs) that cause the loss of cell‐cell adhesion in the superficial epidermis. S. aureus ETs are serine proteases, which exhibit exquisite substrate specificity, and their mechanisms of action are extremely complex. To date, four different serotypes of ETs have been identified and three of them (ETA, ETB and ETD) are associated with toxin‐mediated staphylococcal syndromes related to human infections leading to diseases of medical and veterinary importance

Atypical Multibacterial Granulomatous Myositis in a Horse: First Report in Italy

nfectious causes of myositis are reported relatively uncommonly in horses. Among them, bacterial causes include Streptococcus equi subsp. zooepidemicus, Actinobacillus equuli, Fusobacterium spp. Staphylococcus spp, and Corynebacterium pseudotuberculosis. Infection can be spread to muscles via haematogenous or extension from skin lesions. Parasitic myositis has also been documented. In this report, a 12 year-old Italian Quarter Horse mare presented with diffuse subcutaneous nodules and masses ranging from 2 × 3 to 5 × 20 cm in size, and adherent to subcutis and muscles that were first macroscopically and cytologically diagnosed as pyogranulomas. Subsequently, histological, molecular, bacteriological, and biochemical investigations were performed. All the data obtained allowed to diagnose a severe and diffuse multibacterial granulomatous myositis caused by Corynebacterium pseudotuberculosis and Corynebacterium amycolatum. Following the therapy and an initial disappearance of most of the lesions together with a general improvement of the mare, the clinical condition deteriorated, and new nodules appeared. Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) and PCR techniques revealed the presence of bacteria as Glutamicibacter creatinolyticus and Dietzia spp. To the authors' knowledge, this case report represents the first description of multibacterial granulomatous myositis due to Corynebacterium pseudotuberculosis, Corynebacterium amycolatum, Glutamicibacter creatinolyticus, and Dietzia spp. in a horse reared in Italy

Exfoliative toxin E, a new Staphylococcus aureus virulence factor with host-specific activity

Exfoliative toxin E, a new [i]Staphylococcus aureus[/i] virulence factor with host-specific activity. Microbes, 15e Congrès National de la SF

Comparative Proteomic Analyses Between Biofilm-Forming and Non-biofilm-Forming Strains of Corynebacterium pseudotuberculosis Isolated From Goats

Caseous lymphadenitis (CLA) is a chronic disease that affects small ruminants and causes economic losses in the associated breeding system. The causative agent of CLA is Corynebacterium pseudotuberculosis, a Gram-positive bacterium that exhibits tropism for external and internal lymph nodes and induces abscess formation in the host. Bacterial communities often produce a biofilm matrix that serves various functions, including protection against hostile environmental conditions, antibiotics, and the host immune response. Although biofilm formation has been reported for C. pseudotuberculosis, not all strains demonstrate this property in culture. In this work, we report the first comparative proteomic analysis of one biofilm-forming (CAPJ4) and one biofilm-non-forming strain (CAP3W) of C. pseudotuberculosis isolated from goats. Bacterial whole cell protein extracts were obtained for mass spectrometry analyses. Using LC-MS/MS, our studies reveal three and four proteins exclusively found in the CAPJ4 and CAP3W proteome, respectively. In addition, label-free quantitative analysis identified 40 proteins showing at-least 2-fold higher values in CAPJ4 compared CAP3W proteome Notably, CAPJ4 differentially synthesized the penicillin-binding protein, which participates in the formation of peptidoglycans. CAPJ4 also exhibited upregulation of N-acetylmuramoyl-L-alanine amidase and galactose-1-phosphate uridylyltransferase, which are involved in biofilm formation and exopolysaccharide biosynthesis. Here, we demonstrate that biofilm formation in C. pseudotuberculosis is likely associated with specific proteins, some of which were previously shown to be associated with virulence and biofilm formation in other organisms. Our findings may drive studies related to the bacterial mechanisms involved in the biofilm formation, in addition to providing targets for the treatment of CLA.Fil: Sá, Maria Conceição Aquino de. Universidade Federal da Bahia; BrasilFil: Marques Da Silva, Wanderson. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación En Ciencias Veterinarias y Agronómicas. Instituto de Agrobiotecnología y Biología Molecular. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Rodrigues, Carla Catarine Santos. Universidade Federal da Bahia; BrasilFil: Rezende, Cristiana Perdigão. Universidade Federal de Minas Gerais; BrasilFil: Marchioro, Silvana Beutinger. Universidade Federal da Bahia; BrasilFil: Rocha Filho, José Tadeu Raynal. Universidade Federal da Bahia; BrasilFil: Sousa, Thiago de Jesus. Universidade Federal de Minas Gerais; BrasilFil: Oliveira, Helinando Pequeno de. Universidade Federal do Vale do Sao Francisco; BrasilFil: Costa, Mateus Matiuzzi da. Universidade Federal do Vale do Sao Francisco; BrasilFil: Figueiredo, Henrique César Pereira. Universidade Federal de Minas Gerais; BrasilFil: Portela, Ricardo Dias. Universidade Federal da Bahia; BrasilFil: Castro, Thiago Luiz de Paula. Universidade Federal da Bahia; BrasilFil: Azevedo, Vasco. Universidade Federal de Minas Gerais; BrasilFil: Seyffert, Nubia. Universidade Federal da Bahia; BrasilFil: Meyer, Roberto. Universidade Federal da Bahia; Brasi

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

Tamponamento intrauterino induzido por vácuo para hemorragia pós-parto: uma revisão sistemática

A hemorragia pós-parto (HPP) é uma complicação grave e uma das principais causas de mortalidade materna global, respondendo por aproximadamente 25% de todos os óbitos maternos. A busca por intervenções eficazes e seguras é crítica para melhorar os desfechos maternos. O tamponamento intrauterino induzido por vácuo (VHD) surgiu como uma abordagem promissora, oferecendo potencial para rápido controle do sangramento e redução da necessidade de procedimentos invasivos. Nesse sentido, o presente estudo tem como objetivo analisar a eficácia, segurança e aplicabilidade na prática clínica moderna. Foi realizada uma revisão sistemática da literatura de 2016 a 2024 nas bases de dados PubMed (Medline), Cochrane Library e SciELO. A seleção dos estudos foi baseada em critérios de inclusão e exclusão rigorosos, focando na eficácia, segurança e aplicabilidade do VHD para tratamento da HPP. Três estudos chave foram analisados, com pacientes submetidos ao tratamento com VHD para HPP. Os resultados demonstraram uma taxa de sucesso no tratamento variando de 73% a 94%, com um controle do sangramento alcançado em uma média de 3 minutos. Foi observada uma redução significativa na necessidade de transfusões maciças de sangue e na perda de sangue estimada quando comparado com o tamponamento com balão uterino. Eventos adversos foram relatados, mas todos resolveram-se sem sequelas graves. O tamponamento intrauterino induzido por vácuo apresenta-se como uma opção promissora no tratamento da hemorragia pós-parto, com resultados consistentes indicando eficácia no controle do sangramento e redução na necessidade de transfusões sanguíneas. Embora os resultados sejam encorajadores, mais estudos são necessários para confirmar essas descobertas e explorar plenamente o potencial do VHD na prática clínica. O VHD emerge como uma alternativa eficaz e segura, com potencial para melhorar significativamente os desfechos maternos e reduzir a morbimortalidade associada à HPP

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