Interdisciplinarity in the methodology of teaching in Health: A Literature Review.

The objective of this article is to carry out a sweep of the current medical literature on the relationship between interdisciplinarity in the methodology of teaching in Health. keywords “Teaching, Health, Interdisciplinarity, Health Education”. Articles with more than 20 years of publication or that did not fit within the scope of the research were excluded. In all, 10 articles that fit within the search patterns were selected. It is concluded that most publications promote the need for changes in Health Education in higher education and in learning, knowledge and management of the SUS, in order to promote the Significant Learning of graduates in their professional careers.The objective of this article is to carry out a sweep of the current medical literature on the relationship between interdisciplinarity in the methodology of teaching in Health. keywords “Teaching, Health, Interdisciplinarity, Health Education”. Articles with more than 20 years of publication or that did not fit within the scope of the research were excluded. In all, 10 articles that fit within the search patterns were selected. It is concluded that most publications promote the need for changes in Health Education in higher education and in learning, knowledge and management of the SUS, in order to promote the Significant Learning of graduates in their professional careers

Análise Epidemiológica da Leishmaniose visceral em Sobral

Este artigo tem por objetivo realizar análise epidemiológica da Leishmaniose visceral na cidade de Sobral, Ceará. Foi utilizado como banco de dados o Departamento de Informática do Sistema Único de Saúde (DATASUS), utilizando com mais afinco o Sistema de Informação de Agravos de Notificação (SINAN) para analisar a situação epidemiológica da Leishmaniose visceral em Sobral, durante os anos de 2018 e 2022, assim como a Biblioteca Virtual de Saúde (BVS), SciELO e google acadêmico - por meio do uso dos descritores “Leishmaniose Visceral, Epidemiologia, Parasitose”. Conclui-se que é necessário uma abordagem integrada e cautelosa, considerando fatores ambientais, socioeconômicos e biológicos, para prevenção e controle da doença. A vigilância epidemiológica contínua é essencial para reduzir os casos em Sobral e áreas endêmicas

OCORRÊNCIA DE DOR CRÔNICA NA COLUNA ENTRE ADULTOS NO BRASIL

The prevalence of chronic back pain was higher among women, older women, poor self-perceived health, low education and obesity. The findings of these factors contribute to the establishment of prevention measures and improvement of care by multidisciplinary health teams.A prevalência de dor crônica na coluna foi maior entre as mulheres, com maior idade, auto percepção de saúde ruim, baixa escolaridade e obesidade. Os achados desses fatores contribuem para o estabelecimento de medidas de prevenção e aperfeiçoamento do atendimento das equipes multiprofissionais de saúde. &nbsp

Malformações Arteriovenosa Cerebrais: uma revisão bibliográfica / Cerebral Arteriovenous Malformations: a bibliographic review

Esse estudo foi realizado com o intuito de realizar uma revisão sistemática dentro da literatura cientifica para poder melhor organizar o raciocínio clínicos quanto ao diagnóstico, tratamento e consequências de pacientes portadores de Malformações Arteriovenosa Cerebrais (MAV), uma vez que seu diagnóstico não é fácil de se realizar e a abordagem terapêutica varia de individuo em indivíduo. Contudo, entende-se que o MAV pode ser um dos diagnósticos diferenciais para tratamento de outras patologias através da apresentação da sintomatologia apresentadas pelo paciente admitidos em pronto atendimentos e que procuram clínicas de neurologia e/ou neurocirurgia para tratamento das sintomatologias mais brandas

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

A Taxonomically-informed Mass Spectrometry Search Tool for Microbial Metabolomics Data

MicrobeMASST, a taxonomically-informed mass spectrometry (MS) search tool, tackles limited microbial metabolite annotation in untargeted metabolomics experiments. Leveraging a curated database of >60,000 microbial monocultures, users can search known and unknown MS/MS spectra and link them to their respective microbial producers via MS/MS fragmentation patterns. Identification of microbial-derived metabolites and relative producers, without a priori knowledge, will vastly enhance the understanding of microorganisms’ role in ecology and human health

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

Analysis of the variation on chlorogenic acids\' concentration towards different post-harvest treatments

Considerando que diversas atividades biológicas dos ácidos clorogênicos já foram descritas na literatura, uma melhor compreensão da biossíntese e do acúmulo desses polifenois nas plantas está diretamente vinculada aos parâmetros de qualidade de fitoterápicos. Este trabalho teve o objetivo de monitorar a variação na concentração de metabólitos secundários do grupo dos ácidos clorogênicos no tecido foliar de diversas espécies diante de diferentes tratamentos pós-coleta. Este monitoramento foi realizado através da quantificação das substâncias por cromatografia líquida de ultra eficiência acoplada à espectrometria de massas em sequência (CLUE-EM/EM). Na primeira fase do estudo, foram coletadas folhas de cada espécie selecionada para o estudo (Caju - Anacardium occidentale L.; Graviola - Annona muricata L.; Pata-de-Vaca - Bauhinia variegata L.; Limão - Citrus limon (L.) Burm. f.; Café - Coffea arabica L.; Pitanga - Eugenia uniflora L.; Alecrim - Rosmarinus officinalis L., e Jambolão - Syzygium cumini (L.) Skeels). As folhas foram submetidas a um processo de extração e os extratos obtidos foram analisados por CLAE-EM/EM. Foram encontradas nove substâncias monossubstituídas nas posições 3, 4 e 5 pertencentes aos subgrupos dos ácidos p-cumaroilquínicos, cafeoilquínicos e feruloilquínicos dos ácidos clorogênicos, além de ácidos dicafeoilquínicos. A identificação dos sinais cromatográficos foi realizada por meio dos padrões de fragmentação de cada composto. Na segunda fase do estudo, foram coletadas quatro folhas dos indivíduos em estudo. As folhas foram congeladas em nitrogênio líquido (para interrupção do metabolismo) em tempos diferentes: imediatamente após a coleta (T0), 30 min após a coleta (T0,5), 1 h após a coleta (T1) e 2 h após a coleta (T2). Este procedimento foi realizado uma vez por mês durante seis meses. Em outro momento foram retiradas seis folhas de três indivíduos de espécies selecionadas (Alecrim, Pitanga, Pata-de-Vaca, Limão e Café) e cada folha foi congelada nos tempos T0 (imediatamente após a coleta), T6 (6 h após a coleta), T12 (12 h após a coleta), T24 (24 h após a coleta), T48 (48 h após a coleta) e Ts (após secagem das folhas - aproximadamente 30 dias após a coleta). O material coletado foi extraído e analisado por CLUE-EM/EM, no modo MRM. O método analítico quantitativo foi validado, considerando os parâmetros de linearidade, exatidão e precisão. As concentrações dos ácidos clorogênicos em estudo não apresentaram um padrão de variação que se relacione com os tempos de tratamento ou um aumento linear nas respostas dentro do intervalo de 2 h após o início do catabolismo do tecido. As amostras com tempos de tratamento mais longo, por sua vez, apresentaram aumento significativo de diversos compostos nas folhas que não tiveram seu metabolismo interrompido 30 dias após a coleta. Este acúmulo de ácidos clorogênicos corrobora a hipótese de que o aumento da concentração destes compostos pode estar relacionado ao catabolismo de polímeros fenólicos de maior massa.Considering that diverse chlorogenic acids\' biological activities have been described, a better understanding of their biosynthesis and accumulation is closely related to phytotherapics\' quality parameters. This research aimed to monitor the variation on the concentration of secondary metabolites from the chlorogenic acids\' group on the leaf\'s tissue of diverse species, towards different post-harvest treatments. The monitoring was performed through the quantification of the compounds by UPLCMS/ MS. On the first phase of the project, leaves from each selected species (Cashew - Anacardium occidentale L.; Soursop - Annona muricata L.; Pata-de-Vaca - Bauhinia variegata L.; Lemon - Citrus limon (L.) Burm. f.; Coffee - Coffea arabica L.; Cherry - Eugenia uniflora L.; Rosemary - Rosmarinus officinalis L., and Jambolan - Syzygium cumini (L.) Skeels) were harvested. This material was submitted to an extraction process, and the obtained extracts were analyzed by HPLC-MS/MS. Nine substances were found, monossubstituted on positions 3-, 4- and 5-, belonging to the subgroups of p-coummaroylquinic, caffeoylquinic and feruloylquinic acids, in addition to dicaffeoylquinic acids. The chromatographic signals\' identification was preceded observing the fragmentation pattern of each compound. On the second phase of the study, four leaves were collected from each individual. The leaves were frozen with liquid nitrogen (to interrupt the metabolism) on different moments - immediately after the collection (T0), 30 min after de collection (T0,5), 1 h after the collection (T1) and 2 h after the collection (T2). This procedure happened once a month during six months. On August, 2016, a different collection was performed for a broader observation: six leaves were harvested from three individuals from selected species (Rosemary, Cherry, Pata-de-Vaca, Limon and Coffee), and each leave was frozen on T0 (immediately after the collection), T6 (6 h after the collection), T12 (12 h after the collection), T24 (24 h after the collection), T48 (48 h after the collection) and Ts (after leaf\'s drying - approximately 30 days after collection). The harvested material was extracted and analyzed by UPLC-MS/MS, on MRM mode. The analytical method was validated for linearity, accuracy and precision. Chlorogenic acids\' concentrations did not show a pattern of variation that related to the different treatments or a linear increase on response until 2 hours after the beginning of the tissue catabolism. The samples submitted to a broader treatment interval, however, showed a significant rise on the concentration of different compounds, on leaves that did not have their metabolism interrupted until 30 days after the collection. This accumulation of chlorogenic acids agrees with the hypothesis that the raise on the concentration of these substances can be related to the catabolism of polymeric phenols of higher mass