Os cuidados de enfermagem voltados para pacientes com doença de Fabry - revisão integrativa da literatura / Nursing cares for patients with Fabry's disease - integrative literature review

Objetivo: Demostrar os principais cuidados de enfermagem voltados para o paciente portador da doença de fabry, e destacar os diversos cuidados realizados pela equipe de enfermagem. Metodologia: Trata-se de um estudo com coleta de dados a partir de fontes base de dados secundárias, por meio de levantamento bibliográfico, como referencial metodológico para a realização da pesquisa. Resultados: Em uma sociedade altamente evoluída, onde a maioria da população possui acesso livre a uma grande variedade de fontes de informações e tecnologias, existem patologias que ainda permanecem totalmente desconhecidas para maioria das pessoas, os enfermeiros são fundamentais no tratamento da doença de Fabry. O cuidar culturalmente congruente com as necessidades de crianças e adolescentes renais crônicos pode ser descrito como uma ação intencional de cuidar estabelecida pela interação dos saberes científicos e a valorização dos saberes culturais dessa clientela. Conclusão: Conclui-se que, diante dos estudos, a doença de fabry (DF) além de rara, é uma doença complexa e que exige um tratamento especifico. Os profissionais de enfermagem são fundamentais nos cuidados da DF pois com seu conhecimento teórico e prático realizam assistências que possibilitam uma orientação e procedimento seguros para melhora na qualidade de vida do paciente. Doença de Fabry, Cuidado de Enfermagem, Doenças Raras

SARS-CoV-2 uses CD4 to infect T helper lymphocytes

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the agent of a major global outbreak of respiratory tract disease known as Coronavirus Disease 2019 (COVID-19). SARS-CoV-2 infects mainly lungs and may cause several immune-related complications, such as lymphocytopenia and cytokine storm, which are associated with the severity of the disease and predict mortality. The mechanism by which SARS-CoV-2 infection may result in immune system dysfunction is still not fully understood. Here, we show that SARS-CoV-2 infects human CD4+ T helper cells, but not CD8+ T cells, and is present in blood and bronchoalveolar lavage T helper cells of severe COVID-19 patients. We demonstrated that SARS-CoV-2 spike glycoprotein (S) directly binds to the CD4 molecule, which in turn mediates the entry of SARS-CoV-2 in T helper cells. This leads to impaired CD4 T cell function and may cause cell death. SARS-CoV-2-infected T helper cells express higher levels of IL-10, which is associated with viral persistence and disease severity. Thus, CD4-mediated SARS-CoV-2 infection of T helper cells may contribute to a poor immune response in COVID-19 patients.</p

SARS-CoV-2 uses CD4 to infect T helper lymphocytes

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the agent of a major global outbreak of respiratory tract disease known as Coronavirus Disease 2019 (COVID-19). SARS-CoV-2 infects mainly lungs and may cause several immune-related complications, such as lymphocytopenia and cytokine storm, which are associated with the severity of the disease and predict mortality. The mechanism by which SARS-CoV-2 infection may result in immune system dysfunction is still not fully understood. Here, we show that SARS-CoV-2 infects human CD4+ T helper cells, but not CD8+ T cells, and is present in blood and bronchoalveolar lavage T helper cells of severe COVID-19 patients. We demonstrated that SARS-CoV-2 spike glycoprotein (S) directly binds to the CD4 molecule, which in turn mediates the entry of SARS-CoV-2 in T helper cells. This leads to impaired CD4 T cell function and may cause cell death. SARS-CoV-2-infected T helper cells express higher levels of IL-10, which is associated with viral persistence and disease severity. Thus, CD4-mediated SARS-CoV-2 infection of T helper cells may contribute to a poor immune response in COVID-19 patients.</p

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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

Biosynthesis, characterization and leishmanicidal activity of a biocomposite containing AgNPs-PVP-glucantime

Federal University of Pará. Postgraduate Program in Biology of Infectious & Parasitic Agents. Belém, PA, Brazil / Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Laboratório der Microscopia Eletrônica. Ananindeua, PA, Brasil.Escola Superior da Amazônia. Department of Biomedicine. Belém, PA, Brazil.Federal University of Pará,. Department of Mechanical Engineering. Belém, PA, Brazil.Federal University of Pará. Faculty of Chemical Engineering. Belém, PA, Brazil.Federal University of Pará. Physico-Chemical Drug Quality Control Laboratory. Belém, PA, Brazil.Federal University of Pará,. Department of Mechanical Engineering. Belém, PA, Brazil.Federal University of Pará. Physico-Chemical Drug Quality Control Laboratory. Belém, PA, Brazil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Laboratório der Microscopia Eletrônica. Ananindeua, PA, Brasil.Development of functionalized nanocomposites containing AgNPs-PVP-Glucantime® to evaluate their leishmanicidal activity as a novel method for improving the pharmacological properties of the drug Glucantime® against extracellular promastigotes and intracellular amastigotes of Leishmania amazonensis in vitro to treat cutaneous leishmaniasis. Materials & methods: The silver nanoparticles and nanocomposites prepared containing silver nanoparticles, polyvinylpyrrolidone and different amounts of Glucantime were characterized using transmission electron microscopy, x-ray diffraction, energy-dispersive x-ray spectroscopy and ζ potential analysis; in addition, the in vitro cytotoxicity was evaluated. Results: The nanocomposites showed an inhibitory effect on the cellular viability of promastigote forms, with values of 47.06, 51.71 and 65.67% for nanocomposite1, nanocomposite2 and nanocomposite3, respectively, as well as a dose-dependent decrease in the infectivity index, with values of 33.33 and 23% for nanocomposite2 and nanocomposite3, respectively. Conclusion: The proposed nanocomposite reveals leishmanial activity and the absence of cytotoxicity in macrophages. Further investigations will be conducted in vivo

Comparison of preoperative fluid therapy protocols associated with inhalational or total intravenous anesthesia for anesthetic procedures in dogs with sepsis

This randomized clinical trial aimed to evaluate different fluid therapy protocols associated with inhalational or total intravenous anesthesia in the cardiorespiratory stability of bitches with sepsis subjected to a surgical procedure to control the infectious focus. Thirty-two bitches diagnosed with pyometra and sepsis and treated at the University Veterinary Hospital between 2018 and 2019 were recruited. After admission, diagnosis, clinical, and laboratory evaluation, patients were randomly distributed into the following groups: propofol 5 (P[5]: preoperative restrictive fluid therapy–5mL/kg/h and intravenous general anesthesia); propofol 10 (P[10]: preoperative liberal fluid therapy–10mL/kg/h and intravenous general anesthesia); and isoflurane 5 (I[5]: preoperative restrictive fluid therapy–5mL/kg/h and inhalational general anesthesia). Lactate on admission (LAC1) and release (LAC2), heart rate (HR), respiratory rate (RR), systolic blood pressure (SBP), rectal temperature (RT), oxygen saturation (SpO2 ), and carbon dioxide extraction rate (EtCO2 ) were analyzed at PRE, T10, T20, T30, T40, T50, TEXT, and TDIS. Clearance of 20% of lactate occurred in 18 dogs, with the P[10] group displaying the best performance. There was no statistical difference in vasopressor requirements among the groups. Liberal fluid therapy showed greater cardiovascular stability than restrictive therapy in the perioperative period. Regarding general anesthesia, isoflurane showed greater cardiorespiratory stability than propofol during anesthetic maintenance. In conclusion, although the three proposed protocols are safe and there is no difference in their superiority, some observed changes may be relevant and considered when it is possible to individualize the therapy for the patient