Left ventricular false aneurysm characterized by cardiovascular magnetic resonance and late enhancement technique

Left ventricular pseudoaneurysm is a rare complication of myocardial infarction. Differentiation between true and false aneurysms, although difficult, is crucial, because of the different treatment options they entail. We present a rare case of a giant pseudoaneurysm of the left ventricle related with a previous myocardial infarction. The present case highlights the pivotal role of magnetic resonance imaging for differential diagnosis between these entities

Left ventricular false aneurysm characterized by cardiovascular magnetic resonance and late enhancement technique

Left ventricular pseudoaneurysm is a rare complication of myocardial infarction. Differentiation between true and false aneurysms, although difficult, is crucial, because of the different treatment options they entail. We present a rare case of a giant pseudoaneurysm of the left ventricle related with a previous myocardial infarction. The present case highlights the pivotal role of magnetic resonance imaging for differential diagnosis between these entities

Decoding negative affect personality trait from patterns of brain activation to threat stimuli

INTRODUCTION: Pattern recognition analysis (PRA) applied to functional magnetic resonance imaging (fMRI) has been used to decode cognitive processes and identify possible biomarkers for mental illness. In the present study, we investigated whether the positive affect (PA) or negative affect (NA) personality traits could be decoded from patterns of brain activation in response to a human threat using a healthy sample. METHODS: fMRI data from 34 volunteers (15 women) were acquired during a simple motor task while the volunteers viewed a set of threat stimuli that were directed either toward them or away from them and matched neutral pictures. For each participant, contrast images from a General Linear Model (GLM) between the threat versus neutral stimuli defined the spatial patterns used as input to the regression model. We applied a multiple kernel learning (MKL) regression combining information from different brain regions hierarchically in a whole brain model to decode the NA and PA from patterns of brain activation in response to threat stimuli. RESULTS: The MKL model was able to decode NA but not PA from the contrast images between threat stimuli directed away versus neutral with a significance above chance. The correlation and the mean squared error (MSE) between predicted and actual NA were 0.52 (p-value=0.01) and 24.43 (p-value=0.01), respectively. The MKL pattern regression model identified a network with 37 regions that contributed to the predictions. Some of the regions were related to perception (e.g., occipital and temporal regions) while others were related to emotional evaluation (e.g., caudate and prefrontal regions). CONCLUSION: These results suggest that there was an interaction between the individuals' NA and the brain response to the threat stimuli directed away, which enabled the MKL model to decode NA from the brain patterns. To our knowledge, this is the first evidence that PRA can be used to decode a personality trait from patterns of brain activation during emotional contexts

Decoding negative affect personality trait from patterns of brain activation to threat stimuli

INTRODUCTION: Pattern recognition analysis (PRA) applied to functional magnetic resonance imaging (fMRI) has been used to decode cognitive processes and identify possible biomarkers for mental illness. In the present study, we investigated whether the positive affect (PA) or negative affect (NA) personality traits could be decoded from patterns of brain activation in response to a human threat using a healthy sample. METHODS: fMRI data from 34 volunteers (15 women) were acquired during a simple motor task while the volunteers viewed a set of threat stimuli that were directed either toward them or away from them and matched neutral pictures. For each participant, contrast images from a General Linear Model (GLM) between the threat versus neutral stimuli defined the spatial patterns used as input to the regression model. We applied a multiple kernel learning (MKL) regression combining information from different brain regions hierarchically in a whole brain model to decode the NA and PA from patterns of brain activation in response to threat stimuli. RESULTS: The MKL model was able to decode NA but not PA from the contrast images between threat stimuli directed away versus neutral with a significance above chance. The correlation and the mean squared error (MSE) between predicted and actual NA were 0.52 (p-value=0.01) and 24.43 (p-value=0.01), respectively. The MKL pattern regression model identified a network with 37 regions that contributed to the predictions. Some of the regions were related to perception (e.g., occipital and temporal regions) while others were related to emotional evaluation (e.g., caudate and prefrontal regions). CONCLUSION: These results suggest that there was an interaction between the individuals' NA and the brain response to the threat stimuli directed away, which enabled the MKL model to decode NA from the brain patterns. To our knowledge, this is the first evidence that PRA can be used to decode a personality trait from patterns of brain activation during emotional contexts

Biologia Molecular na Medicina Veterinária: conceitos e avanços

A descoberta da estrutura do DNA por Watson & Crick (1953) deu inicio a uma nova era na biologia molecular. As ferramentas em biologia molecular têm sido utilizadas para pesquisa em muitos campos da biologia e da medicina. Em medicina veterinária, a biologia molecular tem sido aplicada ao diagnostico  das doenças parasitárias e infecciosas, desenvolvimento de vacinas e terapêutica, terapia gênica, genética da resistência a doenças, genotipagem de patógenos, etc. Este artigo foi escrito com ênfase aos conceitos e aplicação da biologia molecular na medicina veterinária. &nbsp

Hybridization in parasites: consequences for adaptive evolution, pathogenesis and public health in a changing world

[No abstract available

Impact of meteorological variables on water quality parameters of a reservoir and ecological filtration system

Recently, special attention has been given to low-cost technologies for water treatment, with the aim of serving remote communities and thus enabling everyone to have access to drinking water and basic sanitation. In that context, the ecological filter is an alternative for treating water for human consumption. Some studies show that climate change and meteorological parameters can influence the water quality of water bodies and the water supply system. However, most of the papers deal with model projections and therefore do not show real situations. The aim of this study was to determine the impact of meteorological variables (e.g. atmospheric pressure, evaporation, wind speed, radiation, precipitation) on the physico-chemical and biological parameters (e.g. turbidity, apparent colour, pH, total coliforms, Escherichia coli) of Lobo reservoir water treated by 22 ecological filters during a period of 4 months. Statistically significant correlations were found between the water from the Lobo reservoir and the weather variables, and between the water quality parameters of the 22 ecological filters and the average weather variables. The results from the statistical analysis indicate that climatic variations may influence treatment performance

Determining Supersymmetric Parameters With Dark Matter Experiments

In this article, we explore the ability of direct and indirect dark matter experiments to not only detect neutralino dark matter, but to constrain and measure the parameters of supersymmetry. In particular, we explore the relationship between the phenomenological quantities relevant to dark matter experiments, such as the neutralino annihilation and elastic scattering cross sections, and the underlying characteristics of the supersymmetric model, such as the values of mu (and the composition of the lightest neutralino), m_A and tan beta. We explore a broad range of supersymmetric models and then focus on a smaller set of benchmark models. We find that by combining astrophysical observations with collider measurements, mu can often be constrained far more tightly than it can be from LHC data alone. In models in the A-funnel region of parameter space, we find that dark matter experiments can potentially determine m_A to roughly +/-100 GeV, even when heavy neutral MSSM Higgs bosons (A, H_1) cannot be observed at the LHC. The information provided by astrophysical experiments is often highly complementary to the information most easily ascertained at colliders.Comment: 46 pages, 76 figure

Resposta terapêutica e profilática com ferro e ácido fólico na anemia em crianças de creches públicas em Goiânia, Goiás, Brasil: ensaio clínico randomizado

The objective of this study was to assess the prevalence of anemia and the therapeutic and prophylactic response to ferrous sulfate and folic acid. A double-blind, randomized, controlled clinical trial was conducted with 196 children 6 to 24 months of age enrolled in municipal daycare centers in Goiânia, Goiás State, Brazil. The children were assigned to two treatment groups that received a daily dose (5 times a week) of either 4.2mg/kg/day of ferrous sulfate + folic acid (50µg) or 4.2mg/kg/day of ferrous sulfate + folic acid placebo. One of the prevention groups received 1.4mg/kg/day of ferrous sulfate + folic acid (50µg/day) and the other 1.4mg/kg/day of ferrous sulfate + folic acid placebo. Supplementation lasted approximately three months. Baseline anemia prevalence was 56.1% (95%CI: 48.9-63.1). After treatment, anemia prevalence in the folic acid group (14%) was lower than in the placebo group (34.9%) (p = 0.02). After prophylaxis in the non-anemic children, the incidence of anemia did not differ between the groups, but there was an increase in hemoglobin level in the folic acid group (p = 0.003). Iron plus folic acid was effective for the treatment of anemia and improvement of hemoglobin level in non-anemic children.Avaliar a prevalência de anemia e a resposta terapêutica e profilática do sulfato ferroso e ácido fólico. Realizou-se um ensaio clínico controlado randomizado, duplo-cego, com 196 crianças de 6 a 24 meses, dos Centros Municipais de Educação Infantil de Goiânia, Goiás, Brasil. As crianças foram alocadas em dois grupos de tratamento que receberam dose diária (5x/semana) com 4,2mg/kg/dia de sulfato ferroso + ácido fólico (50µg) ou 4,2mg/kg/dia de sulfato ferroso + placebo de ácido fólico. Um dos grupos de prevenção recebeu 1,4 mg/kg/dia de sulfato ferroso + ácido fólico (50µg/dia) e o outro 1,4mg/kg/dia de sulfato ferroso + placebo de ácido fólico. A suplementação durou cerca de três meses. A prevalência de anemia inicial foi de 56,1% (IC95%: 48,9-63,1). Após o tratamento, a prevalência de anemia no grupo ácido fólico (14%) foi menor que no grupo placebo (34,9%; p = 0,02). Após profilaxia dos não anêmicos, a incidência de anemia não diferiu entre os grupos, porém, houve incremento da hemoglobina no grupo ácido fólico (p = 0,003). O ferro associado com ácido fólico foi eficaz no tratamento da anemia e na melhoria da hemoglobina nos não anêmicos.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Universidade Federal de Goiás Faculdade de NutriçãoUniversidade Federal de São Paulo (UNIFESP)Universidade Federal de Goiás Instituto de Patologia Tropical e Saúde PúblicaVila São José Bento CotolengoUNIFESPSciEL