Regulation of the memory T cell development and islet beta-cell survival by DAPK-related apoptosis-inducing protein kinase 2 (Drak2)

Drak2 est un membre de la famille des protéines associées à la mort et c’est une sérine/thréonine kinase. Chez les souris mutantes nulles Drak2, les cellules T ne présentent aucune défectuosité apparente en apoptose induite par activation, après stimulation avec anti-CD3 et anti-CD28, mais ont un seuil de stimulation réduit, comparées aux cellules T de type sauvage (TS). Dans notre étude, l’analyse d’hybridation in situ a révélé que l’expression de Drak2 est ubiquiste au stade de la mi-gestation chez les embryons, suivie d’une expression plus focale dans les divers organes pendant la période périnatale et l’âge adulte, notamment dans le thymus, la rate, les ganglions lymphatiques, le cervelet, les noyaux suprachiasmatiques, la glande pituitaire, les lobes olfactifs, la médullaire surrénale, l’estomac, la peau et les testicules. Nous avons créé des souris transgéniques (Tg) Drak2 en utilisant le promoteur humain beta-actine. Ces souris Tg montraient des ratios normaux entre cellules T versus B et entre cellules CD4 versus CD8, mais leur cellularité et leur poids spléniques étaient inférieurs comparé aux souris de type sauvage. Après activation TCR, la réponse proliférative des cellules T Tg Drak2 était normale, même si leur production d’interleukine (IL)-2 et IL-4 mais non d’interféron-r était augmentée. Les cellules T Tg Drak2 activées ont démontré une apoptose significativement accrue en présence d’IL-2 exogène. Au niveau moléculaire, les cellules T Tg Drak2 ont manifesté une augmentation moins élevée des facteurs anti-apoptotiques durant l’activation; un tel changement a probablement rendu les cellules vulnérables aux attaques subséquentes d’IL-2. L’apoptose compromise dans les cellulesT Tg Drak2 a été associée à un nombre réduit de cellules T ayant le phénotype des cellules mémoires (CD62Llo) et avec des réactions secondaires réprimées des cellules T dans l’hypersensibilité de type différé. Ces résultats démontrent que Drak2 s’exprime dans le compartiment des cellules T mais n’est pas spécifique aux cellules T; et aussi qu’il joue des rôles déterminants dans l’apoptose des cellules T et dans le développement des cellules mémoires T. En outre, nous avons recherché le rôle de Drak2 dans la survie des cellules beta et le diabète. L’ARNm et la protéine Drak2 ont été rapidement induits dans les cellules beta de l’îlot après stimulation exogène par les cytokines inflammatoires ou les acides gras libres et qui est présente de façon endogène dans le diabète, qu’il soit de type 1 ou de type 2. La régulation positive de Drak2 a été accompagnée d’une apoptose accrue des cellules beta. L’apoptose des cellules beta provoquée par les stimuli en question a été inhibée par la chute de Drak2 en utilisant petit ARNi. Inversement, la surexpression de Drak2 Tg a mené à l’apoptose aggravée des cellules beta déclenchée par les stimuli. La surexpression de Drak2 dans les îlots a compromis l’augmentation des facteurs anti-apoptotiques, tels que Bcl-2, Bcl-xL et Flip, sur stimulation par la cytokine et les acides gras libres. De plus, les expériences in vivo ont démontré que les souris Tg Drak2 étaient sujettes au diabète de type 1 dans un modèle de diabète provoqué par de petites doses multiples de streptozotocine et qu’elles étaient aussi sujettes au diabète de type 2 dans un modèle d’obésité induite par la diète. Nos données montrent que Drak2 est défavorable à la survie des cellules beta. Nous avons aussi étudié la voie de transmission de Drak2. Nous avons trouvé que Drak2 purifiée pouvait phosphoryler p70S6 kinase dans une analyse kinase in vitro. Lasurexpression de Drak2 dans les cellules NIT-1 a entraîné l’augmentation de la phosphorylasation p70S6 kinase tandis que l’abaissement de Drak2 dans ces cellules a réduit la phosphorylation. Ces recherches mécanistes ont prouvé que p70S6 kinase était véritablement un substrat de Drak2 in vitro et in vivo. Cette étude a découvert les fonctions importantes de Drak2 dans l’homéostasie des cellules T et le diabète. Nous avons prouvé que p70S6 kinase était un substrat de Drak2. Nos résultats ont approfondi nos connaissances de Drak2 à l’intérieur des systèmes immunitaire et endocrinien. Certaines de nos conclusions, comme les rôles de Drak2 dans le développement des cellules mémoires T et la survie des cellules beta pourraient être explorées pour des applications cliniques dans les domaines de la transplantation et du diabète.

Characterization of Probability Distributions Using the Residual Entropy Function

The present study on the characterization of probability distributions using the residual entropy function. The concept of entropy is extensively used in literature as a quantitative measure of uncertainty associated with a random phenomenon. The commonly used life time models in reliability Theory are exponential distribution, Pareto distribution, Beta distribution, Weibull distribution and gamma distribution. Several characterization theorems are obtained for the above models using reliability concepts such as failure rate, mean residual life function, vitality function, variance residual life function etc. Most of the works on characterization of distributions in the reliability context centers around the failure rate or the residual life function. The important aspect of interest in the study of entropy is that of locating distributions for which the shannon’s entropy is maximum subject to certain restrictions on the underlying random variable. The geometric vitality function and examine its properties. It is established that the geometric vitality function determines the distribution uniquely. The problem of averaging the residual entropy function is examined, and also the truncated form version of entropies of higher order are defined. In this study it is established that the residual entropy function determines the distribution uniquely and that the constancy of the same is characteristics to the geometric distribution

Outcome Analysis of Immediate and Delayed Conservative Breast Surgery Reconstruction With Mastopexy and Reduction Mammaplasty Techniques

Background: Bilateral mammaplasty or mastopexy is frequently used for oncoplastic objectives. However, little information has been available regarding outcome following immediate and delayed reconstruction. Method: Patients were divided into Group I (immediate reconstruction) and Group II (delayed reconstruction). Retrospective review was performed to compare complications, length of hospital stay, revision surgeries, and satisfaction. The associations between the complications with potential risk factors (timing, age, body mass index, smoking, and comorbid medical conditions) were analyzed. Results: There were a total of 144 patients with a mean follow-up of 47 months. Of the 106 patients in Group I, complications occurred in 24 (22.6%), skin necrosis was observed in 7.5%, fat necrosis in 5.6%, and 6.6% patients developed local recurrence. Mean period of hospitalization was 1.89 days. Of the 38 patients of the Group II, complications occurred in 12 (31.5%), skin necrosis was observed in 7 (18.4%), fat necrosis in 4 (10.5%), and 5.2% patients developed local recurrence. Mean period of hospitalization was 1.35 days. Increased length of hospital stay greater than 1 day (P < 0.001) and the number of revision surgeries (P = 0.043) were associated with the timing of the reconstruction. In univariate analysis, no difference between groups was found with respect to complication incidence (P = 0.275); however, after adjusting for other risk factors, the probability of complications tend to be higher for Group II (OR = 2.65; 95% confidence interval - 1.01-7.00; P = 0.049). Conclusions: On the basis of the results of our study, the probability of complications tends to be higher for delayed reconstructions, and it is demonstrated that obesity and smoking are risk factors for complications. Ultimately, these data may facilitate the provision of individualized risk information for shared medical decision-making.

Delayed local inflammatory response induced by Thalassophryne nattereri venom is related to extracellular matrix degradation

Symptoms evoked by Thalassophryne nattereri fish envenomation include local oedema, severe pain and intense necrosis with strikingly inefficient healing, continuing for several weeks or months. Investigations carried out in our laboratory showed that, in the venom-induced acute inflammation, thrombosis in venules and constrictions in arterioles were highly visible, in contrast to a notable lack of inflammatory cell. Nevertheless, the reason that the venom toxins favour delayed local inflammatory response is poorly defined. In this study, we analysed the movement of leucocytes after T. nattereri venom injection in the intraplantar region of Swiss mice, the production of pro-inflammatory mediators and the venom potential to elicit matrix metalloproteinase production and extracellular matrix degradation. Total absence of mononuclear and neutrophil influx was observed until 14 days, but the venom stimulates pro-inflammatory mediator secretion. Matrix metalloproteinases (MMP)-2 and MMP-9 were detected in greater quantities, accompanied by tissue degradation of collagenous fibre. An influx of mononuclear cells was noted very late and at this time the levels of IL-6, IL-1 beta and MMP-2 remained high. Additionally, the action of venom on the cytoskeletal organization was assessed in vitro. Swift F-actin disruption and subsequent loss of focal adhesion was noted. Collectively these findings show that the altered specific interaction cell-matrix during the inflammatory process creates an inadequate environment for infiltration of inflammatory cells.

On beta regression residuals

We propose two new residuals for the class of beta regression models, and numerically evaluate their behaviour relative to the residuals proposed by Ferrari and Cribari-Neto. Monte Carlo simulation results and empirical applications using real and simulated data are provided. The results favour one of the residuals we propose.

Improved likelihood inference in beta regression

We consider the issue of performing accurate small-sample likelihood-based inference in beta regression models, which are useful for modelling continuous proportions that are affected by independent variables. We derive small-sample adjustments to the likelihood ratio statistic in this class of models. The adjusted statistics can be easily implemented from standard statistical software. We present Monte Carlo simulations showing that inference based on the adjusted statistics we propose is much more reliable than that based on the usual likelihood ratio statistic. A real data example is presented.

Inflated beta distributions

This paper considers the issue of modeling fractional data observed on [0,1), (0,1] or [0,1]. Mixed continuous-discrete distributions are proposed. The beta distribution is used to describe the continuous component of the model since its density can have quite different shapes depending on the values of the two parameters that index the distribution. Properties of the proposed distributions are examined. Also, estimation based on maximum likelihood and conditional moments is discussed. Finally, practical applications that employ real data are presented.

Diagnostic tools in beta regression with varying dispersion

We consider the issue of performing residual and local influence analyses in beta regression models with varying dispersion, which are useful for modelling random variables that assume values in the standard unit interval. In such models, both the mean and the dispersion depend upon independent variables. We derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes. An application using real data is presented and discussed.

Beta-binomial/Poisson regression models for repeated bivariate counts

We analyze data obtained from a study designed to evaluate training effects on the performance of certain motor activities of Parkinson`s disease patients. Maximum likelihood methods were used to fit beta-binomial/Poisson regression models tailored to evaluate the effects of training on the numbers of attempted and successful specified manual movements in 1 min periods, controlling for disease stage and use of the preferred hand. We extend models previously considered by other authors in univariate settings to account for the repeated measures nature of the data. The results suggest that the expected number of attempts and successes increase with training, except for patients with advanced stages of the disease using the non-preferred hand. Copyright (c) 2008 John Wiley & Sons, Ltd.

Influence diagnostics in beta regression

We consider the issue of assessing influence of observations in the class of beta regression models, which is useful for modelling random variables that assume values in the standard unit interval and are affected by independent variables. We propose a Cook-like distance and also measures of local influence under different perturbation schemes. Applications using real data are presented. (c) 2008 Elsevier B.V.. All rights reserved.

The beta-Birnbaum-Saunders distribution An improved distribution for fatigue life modeling

Birnbaum and Saunders (1969a) introduced a probability distribution which is commonly used in reliability studies For the first time based on this distribution the so-called beta-Birnbaum-Saunders distribution is proposed for fatigue life modeling Various properties of the new model including expansions for the moments moment generating function mean deviations density function of the order statistics and their moments are derived We discuss maximum likelihood estimation of the model s parameters The superiority of the new model is illustrated by means of three failure real data sets (C) 2010 Elsevier B V All rights reserved

The beta Laplace distribution

The Laplace distribution is one of the earliest distributions in probability theory. For the first time, based on this distribution, we propose the so-called beta Laplace distribution, which extends the Laplace distribution. Various structural properties of the new distribution are derived, including expansions for its moments, moment generating function, moments of the order statistics, and so forth. We discuss maximum likelihood estimation of the model parameters and derive the observed information matrix. The usefulness of the new model is illustrated by means of a real data set. (C) 2011 Elsevier B.V. All rights reserved.

Análise de crescimento, curva de absorção de macronutrientes (N, P e K) e teor de beta- ecdisona em fáfia (Pfaffia glomerata (Spreng). Pedersen em função de adubação orgânica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Beta Diversity of Plant-Pollinator Networks and the Spatial Turnover of Pairwise Interactions

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

Investigação de técnicas para o acompanhamento do desgaste de um par engrenado utilizando tribologia e análise da resposta dinâmica processada via função densidade probabilidade Beta

Pós-graduação em Engenharia Mecânica - FEIS