Expressão gênica e proteica da cox-2 e c-Kit em neoplasias mamárias de cadelas

Pós-graduação em Medicina Veterinária - FCAV

Efeitos da inibição da cox-2 no sistema cardiovascular de cães

Os anti-inflamatórios não esteroidais (AINEs) estão entre os medicamentos mais prescritos em todo o mundo, tanto na medicina humana, como na medicina veterinária. Atualmente os AINEs são classificados em não seletivos (convencionais ou clássicos), que são os mais antigos, e seletivos para COX-2 ou coxibes. Alguns estudos constataram uma possível relação entre os inibidores COX-2 seletivos e os efeitos adversos no sistema cardiovascular. Devido a isso, objetivou-se realizar um levantamento de pesquisas que comprovem os efeitos cardiovasculares ocasionados por essa classe farmacológica utilizando livros e artigos das bases de dados PubMed, Periódicos da Capes e SciELO que respondessem à pergunta: a inibição da COX-2 acarreta efeitos adversos para o sistema cardiovascular?. Do total de resultados encontrados, foram utilizados 16 artigos. Os trabalhos mostraram que o uso de inibidores da COX-2 alterou o perfil de coagulação para uma tendência trombótica, além de diminuir a resposta vasodilatadora gerada na resposta inflamatória. Diante dos resultados obtidos através desses estudos, conclui-se que a COX-2 desempenha papel fisiológico no sistema cardiovascular, facilitando a não formação de trombos nos vasos sanguíneos, e, portanto, que sua inibição favorece a coagulação. Assim, os fármacos que inibem a COX-2 devem ser prescritos com cautela, levando-se em consideração o perfil de coagulação do paciente

Multicollinearity and financial constraint in investment decisions: a bayesian generalized ridge regression

This paper addresses the investment decisions considering the presence of financial constraints of 373 large Brazilian firms from 1997 to 2004, using panel data. A Bayesian econometric model was used considering ridge regression for multicollinearity problems among the variables in the model. Prior distributions are assumed for the parameters, classifying the model into random or fixed effects. We used a Bayesian approach to estimate the parameters, considering normal and Student t distributions for the error and assumed that the initial values for the lagged dependent variable are not fixed, but generated by a random process. The recursive predictive density criterion was used for model comparisons. Twenty models were tested and the results indicated that multicollinearity does influence the value of the estimated parameters. Controlling for capital intensity, financial constraints are found to be more important for capital-intensive firms, probably due to their lower profitability indexes, higher fixed costs and higher degree of property diversification.

Expressão imuno-histoquímica de KI-67, COX-2, MMP-9 e P53 nos tumores testiculares caninos

Pós-graduação em Ciência Animal - FMVA

Efeitos preventivos do treinamento físico na expressão das proteínas Cox-2 e Vegf de ratos tratados com dexametasona

Dexamethasone is a synthetic glucocorticoid widely used to treat allergic and inflammatory processes. This drug is used in three main situations, are used to contain acute or chronic inflammatory processes, or like immunosuppressive drug's. In these cases the patient will receive high doses for a chronic period and, therefore, has a much greater chance of adverse side effects, such as hypertension, diabetes and dyslipidemia. Dexamethasone promotes deleterious effects on the arachidonic acid pathway, when administered in high doses, because it is a potent anti-inflammatory drug. We recently demonstrated that dexamethasone significantly reduces the protein expression of vascular endothelial growth factor (VEGF) in both skeletal muscle and heart, but the mechanisms involved remain unclear. Meanwhile, exercise has been shown to be effective against high blood pressure, diabetes and dyslipidemia, promoting, among other factors, the increase in VEGF and angiogenesis. One possible explanation for these effects would be the creation of new vessels mediated by inflammation, or by the stimulation of the formation of products of the metabolism of arachidonic acid (AA), such as prostaglandin E2 (PGE2) and VEGF, by increasing the stimulation of the enzymes cyclooxygenase 1 and 2 (COX-1 and COX-2). Little is known about the preventive effects of training on the action of dexamethasone in the arachidonic acid pathway. Therefore, the aim of this study was to determine whether aerobic exercise training, performed before and concomitant treatment with dexamethasone, was able to prevent the effects of the dexamethasone in the protein expression of COX-2 and VEGF. For this, we used young Wistar rats (n = 40) which were randomly divided into 4 groups: sedentary control (SC), sedentary and treated with dexamethasone (SD), trained control (TC) and trained and treated with dexamethasone (TD). These rats performed aerobic exercise training, 60% of maximum capacity, 5

Efeitos preventivos do exercício físico sobre as proteínas ciclooxigenase-2 (COX-2) e fator de crescimento de vasos derivado do endotélio (VEGF) no músculo cardíaco em ratos tratados com dexametasona

Dexamethasone (DEXA) is a synthetic glucocorticoid widely used in the handling of several drugs, for its proven benefits in fighting inflammation and allergies. Despite their benefits, their chronic use leads to several side effects that include changes in the body in the metabolism of carbohydrates, lipids and proteins. Moreover, being an anti-inflammatory, acts on the arachidonic acid pathway, reducing the expression of the enzyme cyclooxygenase (COX-2) and growth factor derived from the endothelium of blood vessels (VEGF) in various tissues. However, its effects on the myocardium are still uncertain. The physical training (PT), in turn, promotes effects contrary to those caused by chronic use of DEXA, however, little is known about the preventive effects of TF in the side effects of Dexa in the myocardium. Therefore, the aim of this study was to determine if the TF has the ability to prevent and/or mitigate the effects of Dexa in protein expression of COX-2 and VEGF in the myocardium. Forty animals were divided into 4 groups: sedentary control (SC), sedentary treated with Dexa (SD), trained control (TC) and Trained treated with Dexa (TD) and submitted to a protocol of physical training on the treadmill for 70 days (1 h/day-5 days per week, 60% of physical capacity) or kept sedentary. Over the past 10 days, rats were treated with Dexa (Decadron, 0.5 mg/kg per day, ip) or saline. During training the animals were weighed weekly and during treatment daily. At the end of treatment was made to measure fasting glucose levels of animals. The rats were killed with excess anesthesia and cardiac muscle was removed, weighed, homogenized, centrifuged and stored at -20° C for analysis of protein expression of VEGF and COX-2 by Western blotting technique. Treatment with dexamethasone caused a weight loss of 18% in sedentary animals and 13% in trained as well as elevated levels of fasting glucose in sedentary (88%). The TF was unable to mitigate the loss in...

Impact of the processes of testicular regression and recrudescence in the prostatic complex of the bat myotis nigricans (Chiroptera: Vespertilionidae)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Impact of the processes of total testicular regression and recrudescence on the epididymal physiology of the bat myotis nigricans (chiroptera: vespertilionidae)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Prevalence of Treponema Species Detected in Endodontic Infections: Systematic Review and Meta-regression Analysis

Introduction: This systematic review and meta-regression analysis aimed to calculate a combined prevalence estimate and evaluate the prevalence of different Treponema species in primary and secondary endodontic infections, including symptomatic and asymptomatic eases. Methods: The MEDLINE/PubMed, Embase, Scielo, Web of Knowledge, and Scopus data-bases were searched without starting date restriction up to and including March 2014. Only reports in English were included. The selected literature was reviewed by 2 authors and classified as suitable or not to be included in this review. Lists were compared, and, in case of disagreements, decisions were made after a discussion based on inclusion and exclusion criteria. A pooled prevalence of Treponema species in endodontic infections was estimated. Additionally, a meta-regression analysis was performed. Results: Among the 265 articles identified in the initial search, only 51 were included in the final analysis. The studies were classified into 2 different groups according to the type of endodontic infection and whether it was an exclusively primary/secondary study (n = 36) or a primary/secondary comparison (n = 15). The pooled prevalence of Treponema species was 41.5% (95% confidence interval, 35.9-47.0). In the multivariate model of meta-regression analysis, primary endodontic infections (P < .001), acute apical abscess, symptomatic apical periodontitis (P < .001), and concomitant presence of 2 or more species (P = .028) explained the heterogeneity regarding the prevalence rates of Treponema species. Conclusions: Our findings suggest that Treponema species are important pathogens involved in endodontic infections, particularly in cases of primary and acute infections.

Random regression models for milk, fat and protein in Colombian Buffaloes

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Genotype x environment interaction for age at first calving, scrotal circumference, and yearling weight in Nellore cattle using reaction norms in multitrait random regression models

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Anesthesia-related and perioperative cardiac arrest in low- and high-income countries: a systematic review with meta-regression and proportional meta-analysis

The anesthesia-related cardiac arrest (CA) rate is a quality indicator to improve patient safety in the perioperative period. A systematic review with meta-analysis of the worldwide literature related to anesthesia-related CA rate has not yet been performed.This study aimed to analyze global data on anesthesia-related and perioperative CA rates according to country's Human Development Index (HDI) and by time. In addition, we compared the anesthesia-related and perioperative CA rates in low- and high-income countries in 2 time periods.A systematic review was performed using electronic databases to identify studies in which patients underwent anesthesia with anesthesia-related and/or perioperative CA rates. Meta-regression and proportional meta-analysis were performed with 95% confidence intervals (CIs) to evaluate global data on anesthesia-related and perioperative CA rates according to country's HDI and by time, and to compare the anesthesia-related and perioperative CA rates by country's HDI status (low HDI vs high HDI) and by time period (pre-1990s vs 1990s-2010s), respectively.Fifty-three studies from 21 countries assessing 11.9 million anesthetic administrations were included. Meta-regression showed that anesthesia-related (slope: -3.5729; 95% CI: -6.6306 to -0.5152; P = 0.024) and perioperative (slope: -2.4071; 95% CI: -4.0482 to -0.7659; P = 0.005) CA rates decreased with increasing HDI, but not with time. Meta-analysis showed per 10,000 anesthetics that anesthesia-related and perioperative CA rates declined in high HDI (2.3 [95% CI: 1.2-3.7] before the 1990s to 0.7 [95% CI: 0.5-1.0] in the 1990s-2010s, P < 0.001; and 8.1 [95% CI: 5.1-11.9] before the 1990s to 6.2 [95% CI: 5.1-7.4] in the 1990s-2010s, P < 0.001, respectively). In low-HDI countries, anesthesia-related CA rates did not alter significantly (9.2 [95% CI: 2.0-21.7] before the 1990s to 4.5 [95% CI: 2.4-7.2] in the 1990s-2010s, P = 0.14), whereas perioperative CA rates increased significantly (16.4 [95% CI: 1.5-47.1] before the 1990s to 19.9 [95% CI: 10.9-31.7] in the 1990s-2010s, P = 0.03).Both anesthesia-related and perioperative CA rates decrease with increasing HDI but not with time. There is a clear and consistent reduction in anesthesia-related and perioperative CA rates in high-HDI countries, but an increase in perioperative CA rates without significant alteration in the anesthesia-related CA rates in low-HDI countries comparing the 2 time periods.

GIS-based analytical tools for transport planning: spatial regression models for transportation demand forecast

Considering the importance of spatial issues in transport planning, the main objective of this study was to analyze the results obtained from different approaches of spatial regression models. In the case of spatial autocorrelation, spatial dependence patterns should be incorporated in the models, since that dependence may affect the predictive power of these models. The results obtained with the spatial regression models were also compared with the results of a multiple linear regression model that is typically used in trips generation estimations. The findings support the hypothesis that the inclusion of spatial effects in regression models is important, since the best results were obtained with alternative models (spatial regression models or the ones with spatial variables included). This was observed in a case study carried out in the city of Porto Alegre, in the state of Rio Grande do Sul, Brazil, in the stages of specification and calibration of the models, with two distinct datasets.

Infrastructure Support for Controlled Experimentation with Software Testing and Regression Testing Techniques

Where the creation, understanding, and assessment of software testing and regression testing techniques are concerned, controlled experimentation is an indispensable research methodology. Obtaining the infrastructure necessary to support such experimentation, however, is difficult and expensive. As a result, progress in experimentation with testing techniques has been slow, and empirical data on the costs and effectiveness of techniques remains relatively scarce. To help address this problem, we have been designing and constructing infrastructure to support controlled experimentation with testing and regression testing techniques. This paper reports on the challenges faced by researchers experimenting with testing techniques, including those that inform the design of our infrastructure. The paper then describes the infrastructure that we are creating in response to these challenges, and that we are now making available to other researchers, and discusses the impact that this infrastructure has and can be expected to have.

Improved Regression Estimation of a Multivariate Relationship with Population Data on the Bivariate Relationship

Regression coefficients specify the partial effect of a regressor on the dependent variable. Sometimes the bivariate or limited multivariate relationship of that regressor variable with the dependent variable is known from population-level data. We show here that such population- level data can be used to reduce variance and bias about estimates of those regression coefficients from sample survey data. The method of constrained MLE is used to achieve these improvements. Its statistical properties are first described. The method constrains the weighted sum of all the covariate-specific associations (partial effects) of the regressors on the dependent variable to equal the overall association of one or more regressors, where the latter is known exactly from the population data. We refer to those regressors whose bivariate or limited multivariate relationships with the dependent variable are constrained by population data as being ‘‘directly constrained.’’ Our study investigates the improvements in the estimation of directly constrained variables as well as the improvements in the estimation of other regressor variables that may be correlated with the directly constrained variables, and thus ‘‘indirectly constrained’’ by the population data. The example application is to the marital fertility of black versus white women. The difference between white and black women’s rates of marital fertility, available from population-level data, gives the overall association of race with fertility. We show that the constrained MLE technique both provides a far more powerful statistical test of the partial effect of being black and purges the test of a bias that would otherwise distort the estimated magnitude of this effect. We find only trivial reductions, however, in the standard errors of the parameters for indirectly constrained regressors.