Análise da eficácia do uso terapêutico da trimetazidina nas principais síndromes coronarianas agudas

A injúria de reperfusão, ou isquemia, é um mecanismo fisiopatológico que ocorre nas etiopatogenias do miocárdio, como na angina instável. Assim, são utilizados fármacos adjuvantes citoprotetores, como a trimetazidina (TMZ), que visam à diminuição do tempo de hospitalização e melhora na função cardíaca com ação profilática contra essa lesão. No entanto, apesar dos seus potenciais benefícios no tratamento da síndrome coronariana aguda, ainda não está clara a sua eficácia em relação a outras terapias disponíveis. Nesse sentido, o objetivo do estudo é analisar a eficácia do uso terapêutico da trimetazidina nas principais síndromes coronarianas agudas. Foi realizada uma revisão sistemática usando as bases de dados PubMed, Cochrane Library e Embase. Um total de 3 estudos foi incluído na análise. Os resultados mostraram que a terapia com trimetazidina reduziu significativamente a incidência de eventos cardíacos adversos maiores (ECAM) (OR = 0,33, IC 95% 0,15-0,75, p = 0,007), menor dano miocárdico (p < 0,05) e fração de ejeção ventricular esquerda mais elevada e menos eventos adversos em comparação com o grupo placebo (p < 0,05). Não foram observadas diferenças significativas entre os grupos de trimetazidina e controle em termos de mortalidade por todas as causas, mortalidade cardiovascular ou incidência de eventos adversos. Os resultados deste estudo sugerem que a terapia adjuvante com trimetazidina pode melhorar os resultados clínicos e a função cardíaca em pacientes com IAM sem aumentar o risco de eventos adversos. No entanto, são necessários mais ensaios clínicos randomizados em larga escala para confirmar esses resultados e determinar a duração e dose ideais da terapia com trimetazidina nessa população de pacientes

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

Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial

Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt

Diminuição dos Níveis Séricos do Receptor Solúvel da Oncostatina M (sOSMR) e Glicoproteína 130 (sgp130) em Pacientes com Doença Arterial Coronariana

Resumo Fundamento A oncostatina M (OSM) é uma citocina pleiotrópica que, após lesão arterial, demonstra ser expressa rapidamente. Objetivos Correlacionar os níveis séricos da OSM, do receptor solúvel de oncostatina M (sOSMR) e da fração solúvel de glicoproteína 130 (sgp130) em pacientes com doença arterial coronariana (DAC) a parâmetros clínicos. Métodos Os níveis de sOSMR e sgp130 foram avaliados por ELISA, enquanto os de OSM foram avaliados por Western Blot, em pacientes com SCC (n=100), pacientes com SCA (n=70) e 64 voluntários do grupo de controle sem manifestações clínicas da doença. Valores de p <0,05 foram considerados estatisticamente significativos. Resultados Pacientes com DAC exibiram níveis significativamente mais baixos de sOSMR e sgp130 e níveis mais altos de OSM em comparação ao grupo de controle (ambos p <0,0001). A análise clínica mostrou níveis mais baixos de sOSMR em homens ([OR] = 2,05, p = 0,026), jovens (OR = 1,68, p = 0,0272), hipertensos (OR = 2,19, p = 0,041), fumantes (OR = 2,19, p = 0,017), pacientes que não apresentavam dislipidemia (OR = 2,32, p = 0,013), pacientes com infarto agudo do miocárdio [IAM] (OR = 3,01, p = 0,001) e pacientes não tratados com estatina (OR = 1,95, p = 0,031), antiplaquetário (OR = 2,46, p = 0,005), inibidores dos canais de cálcio (OR = 3,15, p = 0,028) e antidiabéticos (OR = 2,97, p = 0,005). Os níveis de sOSMR também foram correlacionados a sexo, idade, hipertensão e uso de medicamentos na análise multivariada. Conclusões Nossos dados sugerem que o aumento dos níveis séricos de OSM e a diminuição dos níveis de sOSMR e sGP130 em pacientes com injúria cardíaca podem desempenhar um papel importante no mecanismo fisiopatológico da doença. Além disso, níveis mais baixos de sOSMR foram associados a sexo, idade, hipertensão e uso de medicamentos

FUCA2 and TSTA3 expression in gastric cancer: candidate biomarkers of malignant transformation

Introduction. Aberrant fucosylation is closely related to malignant transformation, cancer detection, and evaluation of treatment efficacy. The fucosylation process requires GDP-L-fucose, fucosyltransferases, and fucosidases. In gastric cancer (GC), fucosylation alterations were associated with tumor formation, metastasis inhibition, and multi-drug resistance. It is not clear whether tissue-specific transplantation antigen P35B (TSTA3) and alpha-L-fucosidase 2 (FUCA2) have any effect on the development of GC. Materials and methods. We used immunohistochemistry to assess the expression of TSTA3 and FUCA2 in 71 gastric adenocarcinoma samples and their relationship with clinicopathological parameters. Results. TSTA3 expression was associated with lower histological grade I and II (P = 0.0120) and intestinal type Lauren classification (P = 0.0120). TSTA3 immunopositivity could predict Lauren’s classification. Analysis of mRNA expression in GC validation cohorts corroborates the significant TSTA3 association with histological grade observed in our study. However, no associations were found between TSTA3 staining and overall survival. FUCA2 expression was markedly increased in GC tissues compared with non-tumoral tissues (P &lt; 0.0001) and was associated with surgical staging III and IV (P = 0.0417) and advanced histological grade tumor states (P = 0.0125). Conclusions. Alterations of FUCA2 and TSAT3 immunoexpression could lay the basis for future studies using cell glycosylation as a biomarker for the planning of therapeutic strategy in primary gastric cancer