Imunofluorescência para diagnóstico de herpes oftálmico usando como modelo córneas de camundongos infectados

Herpes simplex virus type 1 (HSV-1) ophthalmic disease is the most common cause of corneal blindness in humans world-wide. Current culture techniques for HSV take several days and commercially available HSV laboratory based diagnostic techniques vary in sensitivity. Our study was conducted to evaluate the use of a quicker and simpler method to herpes ophthalmic diagnosis. Corneal smears were made by firm imprints of infected mouse eyes to glass slides, after smears were fixated with cold acetone, and an indirect immunofluorescence (IIF) method was performed using monoclonal antibodies in a murine model of ophthalmic herpes. Eye swabs from infected mice were inoculated in Vero cells for virus isolation. Cytology and histology of the eye were also performed, using hematoxylin-eosin routine. Mouse eyes were examined by slit-lamp biomicroscopy for evidence of herpetic disease at various times postinoculation. We made a comparative evaluation of sensitivity, specificity and speed of methods for laboratory detection of HSV. Our results indicate that this IIF method is quick, sensitive, specific and can be useful in the diagnosis of ophthalmic herpes as demonstrated in an animal model.A doença oftálmica do vírus herpes simplex do tipo 1 (HSV-1) é a causa mais comum de cegueira córnea em humanos mundialmente. Técnicas de cultura atuais para HSV levam vários dias e laboratórios de HSV comercialmente disponíveis estabelecem que as técnicas diagnósticas variam em sensibilidade. Nosso estudo foi conduzido para avaliar a aplicação prática de um método mais rápido e simples para diagnosticar o herpes oftálmico. Decalques córneos foram feitos por impressões firmes de olhos de camundongos a lâminas de vidro, depois os decalques foram fixados com acetona fria, e um método de imunofluorescência indireta (IIF) foi executado empregando anticorpos monoclonais no modelo murino de herpes oftálmico. Swabs de córnea foram inoculados em células Vero para o isolamento de vírus a partir de camundongos infectados. A citologia e a histologia do olho foi feita pela rotina de hematoxilina e eosina. Os olhos de camundongos foram examinados através de oftalmomicroscopia para evidência de doença herpética em vários tempos pós-inoculação. A avaliação comparativa da sensibilidade, especificidade e velocidade de métodos para detecção laboratorial de HSV foi feita. Nossos resultados indicam que este método de IIF é rápido, sensível, específico e pode ser útil no diagnóstico de herpes oftálmico como demonstrado no modelo animal

Levantamento epidemiológico do benefício de inibidores de neuraminidase na síndrome respiratória aguda grave por COVID-19

Background and objectives: The COVID-19 pandemic and its consequent severe acute respiratory syndrome (SARS) have taken the lives of millions since 2020. The use of neuraminidase inhibitors is a promising alternative in treating this disease, with several studies on off-label use being conducted since the beginning of the pandemic, but none of them have a large sample size and analyze multiple risk factors. The purpose of this article is to identify possible associations between various factors and risk of hospitalization, need for ventilation and death, as well as the influence of the prescription of Zanamivir and Oseltamivir on these same indicators. Methods: In this transversal study, approximately 900,000 medical records from all regions of Brazil were collected from the Ministry of Health database, and after that, proper statistical analysis of the variables was performed. Results: Hospitalization was associated with gender, ethnicity, education, local urbanization, State, and its percentage of elderly, as well as the climate. The prescription of Zanamivir and Oseltamivir was associated with higher incidence of symptoms, lower hospitalization and death rate, and lower need for invasive and non-invasive ventilation. Medical records from146,160 patients were excluded due to SARS not caused by COVID-19. Conclusion: From this data, it is possible to draw a risk profile for hospitalization by SARS and consider the use of Zanamivir and Oseltamivir as a treatment for these patients.Justificación y objetivos: la pandemia Covid-19 y su consiguiente síndrome respiratorio agudo severo (SRAS) han muerto millones de personas desde 2020. El uso de inhibidores de la neuraminidasa es una alternativa prometedora en el tratamiento de esta enfermedad, con varios estudios sobre el uso off-label que se realiza desde el principio de la pandemia, pero ninguno que tenga un tamaño de muestra grande y analice múltiples factores de riesgo. El propósito de este artículo es identificar posibles asociaciones entre varios factores y el riesgo de hospitalización, necesidad de ventilación y muerte, así como la influencia de la prescripción de Zanamivir y Oseltamivir en los mismos indicadores. Métodos: En este estudio transversal, se encuestaron a los datos del Ministerio de Salud de aproximadamente 900,000 registros de todas las regiones de Brasil, después de que se realizó un tratamiento estadístico adecuado de las variables. Resultados: La hospitalización se asoció con género, etnia, educación, urbanización del sitio, Estado y porcentaje de ancianos, así como el clima. La prescripción de zanamivir y oseltamivir se asoció con la mayor incidencia de síntomas, menor hospitalización y tasa de mortalidad y menor necesidad de ventilación invasiva y no invasiva. Se excluyeron 146,160 registros médicos debido a SRAS no causado por Covid-19. Conclusión: con estos datos, es posible dibujar un perfil de riesgo para la hospitalización por SRAS y considerar el uso de zanamivir y oseltamivir como tratamiento para estos pacientes.Justificativa e objetivos: A pandemia de COVID-19 e sua consequente síndrome respiratória aguda grave (SRAG) levaram milhões de pessoas a óbito desde 2020. O uso de inibidores da neuraminidase é uma alternativa promissora no tratamento dessa doença, com vários estudos sobre o uso off-label sendo conduzidos desde o início da pandemia, mas nenhum que tenha um grande tamanho amostral e que analise vários fatores de risco. O objetivo deste artigo é identificar possíveis associações entre diversos fatores e risco de hospitalização, necessidade de ventilação e óbito, assim como a influência da prescrição de Zanamivir e Oseltamivir nos mesmos indicadores. Métodos: Neste estudo transversal, foi feito o levantamento de aproximadamente 900 mil prontuários de todas as regiões do Brasil, provenientes de dados do Ministério da Saúde, e em seguida foi realizado o tratamento estatístico adequado das variáveis. Resultados: A hospitalização foi associada a sexo, etnia, escolaridade, urbanização do local, Estado e porcentagem de idosos do mesmo, assim como o clima. Já a prescrição de Zanamivir e Oseltamivir foi associada a maior incidência de sintomas, menor taxa de hospitalização e óbito e menor necessidade de ventilação invasiva e não-invasiva. Foram excluídos 146.160 prontuários devido a SRAG não ocasionada pela COVID-19. Conclusão: Com esses dados, é possível traçar um perfil de risco para hospitalização por SRAG e considerar o uso de Zanamivir e Oseltamivir como tratamento para esses pacientes

Genetic variation in PFKFB3 impairs antifungal immunometabolic responses and predisposes to Invasive Pulmonary Aspergillosis

Copyright © 2021 Gonçalves et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.Activation of immune cells in response to fungal infection involves the reprogramming of their cellular metabolism to support antimicrobial effector functions. Although metabolic pathways such as glycolysis are known to represent critical regulatory nodes in antifungal immunity, it remains undetermined whether these are differentially regulated at the interindividual level. In this study, we identify a key role for 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3) in the immunometabolic responses to Aspergillus fumigatus. A genetic association study performed in 439 recipients of allogeneic hematopoietic stem cell transplantation (HSCT) and corresponding donors revealed that the donor, but not recipient, rs646564 variant in the PFKFB3 gene increased the risk of invasive pulmonary aspergillosis (IPA) after transplantation. The risk genotype impaired the expression of PFKFB3 by human macrophages in response to fungal infection, which was correlated with a defective activation of glycolysis and the ensuing antifungal effector functions. In patients with IPA, the risk genotype was associated with lower concentrations of cytokines in the bronchoalveolar lavage fluid samples. Collectively, these findings demonstrate the important contribution of genetic variation in PFKFB3 to the risk of IPA in patients undergoing HSCT and support its inclusion in prognostic tools to predict the risk of fungal infection in this clinical setting. IMPORTANCE The fungal pathogen Aspergillus fumigatus can cause severe and life-threatening forms of infection in immunocompromised patients. Activation of glycolysis is essential for innate immune cells to mount effective antifungal responses. In this study, we report the contribution of genetic variation in the key glycolytic activator 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 (PFKFB3) to the risk of invasive pulmonary aspergillosis (IPA) after allogeneic hematopoietic stem cell transplantation. The PFKFB3 genotype associated with increased risk of infection was correlated with an impairment of the antifungal effector functions of macrophages in vitro and in patients with IPA. This work highlights the clinical relevance of genetic variation in PFKFB3 to the risk of IPA and supports its integration in risk stratification and preemptive measures for patients at high risk of IPA.This work was supported by the Fundação para a Ciência e Tecnologia (FCT) (PTDC/SAU-SER/29635/2017, PTDC/MED-GEN/28778/2017, UIDB/50026/2020, and UIDP/50026/2020), the Northern Portugal Regional Operational Program (NORTE 2020), under the Portugal 2020 Partnership Agreement, through the European Regional Development Fund (ERDF) (NORTE-01-0145-FEDER-000039), the Institut Mérieux (Mérieux Research Grant 2017), the European Society of Clinical Microbiology and Infectious Diseases (ESCMID Research Grant 2017), the European Union’s Horizon 2020 research and innovation program under grant agreement no. 847507, and the “la Caixa” Foundation (ID 100010434) and FCT under the agreement LCF/PR/HR17/52190003. Individual support was provided by FCT (SFRH/BD/136814/2018 to S.M.G., PD/BD/137680/2018 to D.A., CEECIND/04058/2018 to C.C., and CEECIND/03628/2017 to A.C.). M.G.N. was supported by an ERC Advanced Grant and a Spinoza Grant of the Netherlands Organization for Scientific Research.info:eu-repo/semantics/publishedVersio

A list of land plants of Parque Nacional do Caparaó, Brazil, highlights the presence of sampling gaps within this protected area

Brazilian protected areas are essential for plant conservation in the Atlantic Forest domain, one of the 36 global biodiversity hotspots. A major challenge for improving conservation actions is to know the plant richness, protected by these areas. Online databases offer an accessible way to build plant species lists and to provide relevant information about biodiversity. A list of land plants of “Parque Nacional do Caparaó” (PNC) was previously built using online databases and published on the website "Catálogo de Plantas das Unidades de Conservação do Brasil." Here, we provide and discuss additional information about plant species richness, endemism and conservation in the PNC that could not be included in the List. We documented 1,791 species of land plants as occurring in PNC, of which 63 are cited as threatened (CR, EN or VU) by the Brazilian National Red List, seven as data deficient (DD) and five as priorities for conservation. Fifity-one species were possible new ocurrences for ES and MG states

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