BRAIN DAMAGE IN METHYLMALONIC ACIDURIA: 2-METHYLCITRATE LEADS TO AMMONIA INCREASE AND APOPTOSIS

A 3D in vitro model of rat organotypic brain cell cultures in aggregates was used to investigate neurotoxicity mechanisms in methylmalonic aciduria. 1 mM methylmalonate (MMA), 2-methylcitrate (2-MCA) or propionate (PA) were repeatedly added to the culture media at two different time points of the cultures. In cultures treated with 2-MCA, we observed a significant increase of lactate in the medium, consistent with a possible inhibition of Krebs cycle and respiratory chain, as described earlier in the literature. Interestingly, we further observed that 2-MCA induced an important increase in ammonia production with concomitant decrease of glutamine concentrations, which suggests an inhibition of the astrocytic enzyme glutamine synthetase. These previously unreported findings may uncover a pathogenic mechanism in this disease with deleterious effects on early stages of brain development. By immunohistochemistry we could show that 2-MCA substantially increased the number of apoptotic cells. On the cellular level, 2-MCA had a toxic effect (cell swelling and cell death) on glial cells, but not on neurons. Surprisingly, MMA seemed to have a growth stimulating effect on the cultures. We can conclude that 2-MCA was the most toxic metabolite in our model for methylmalonic aciduria inducing ammonia accumulation and massive apoptosis in brain cells.

Myocardial tolerance to ischemia-reperfusion injury, training intensity and cessation.

Training has been shown to induce cardioprotection. The mechanisms involved remain still poorly understood. Aims of the study were to examine the relevance of training intensity on myocardial protection against ischemia/reperfusion (I/R) injury, and to which extent the beneficial effects persist after training cessation in rats. Sprague-Dawley rats trained at either low (60% [Formula: see text]) or high (80% [Formula: see text]) intensity for 10 weeks. An additional group of highly trained rats was detrained for 4 weeks. Untrained rats served as controls. At the end of treatment, rats of all groups were split into two subgroups. In the former, rats underwent left anterior descending artery (LAD) ligature for 30 min, followed by 90-min reperfusion, with subsequent measurement of the infarct size. In the latter, biopsies were taken to measure heat-shock proteins (HSP) 70/72, vascular endothelial growth factor (VEGF) protein levels, and superoxide dismutase (SOD) activity. Training reduced infarct size proportionally to training intensity. With detraining, infarct size increased compared to highly trained rats, maintaining some cardioprotection with respect to controls. Cardioprotection was proportional to training intensity and related to HSP70/72 upregulation and Mn-SOD activity. The relationship with Mn-SOD was lost with detraining. VEGF protein expression was not affected by either training or detraining. Stress proteins and antioxidant defenses might be involved in the beneficial effects of long-term training as a function of training intensity, while HSP70 may be one of the factors accounting for the partial persistence of myocardial protection against I/R injury in detrained rats.

SiMR: A simulator for learning computer architecture

This paper presents SiMR, a simulator of the Rudimentary Machine designed to be used in a first course of computer architecture of Software Engineering and Computer Engineering programmes. The Rudimentary Machine contains all the basic elements in a RISC computer, and SiMR allows editing, assembling and executing programmes for this processor. SiMR is used at the Universitat Oberta de Catalunya as one of the most important resources in the Virtual Computing Architecture and Organisation Laboratory, since students work at home with the simulator and reports containing their work are automatically generated to be evaluated by lecturers. The results obtained from a survey show that most of the students consider SiMR as a highly necessary or even an indispensable resource to learn the basic concepts about computer architecture.

Role of CD4+CD25+ regulatory T cells in the antigen specific induction of tolerance "via" the nasal route

ABSTRACT Asthma is a complex inflammatory syndrome caused by environmental factors in predisposed individuals (atopics). Its severity correlates with the presence of activated T lymphocytes and eosinophils in the bronchoalveolar lavage fluid (BALF). Induction of tolerance via the nasal route results in reduced recruitment of eosinophils into BALF upon challenge, inhibition of TH2 pro-inflammatory cytokine secretion and T cell hyporesponsiveness. Recently, CD4+CD25+ natural regulatory T cells (Treg) were proposed as key players in controlling the development of asthma and allergic disease. The objective of the present study is to investigate the role of CD4+CD25+ regulatory T cells in the mechanisms leading to tolerance in an established model of asthma. In this goal we depleted CD4+CD25+ T cells at different times during asthma and tolerance induction protocol in mice and looked at efficiency of tolerization (intranasal application of high dose of allergen) in the absence of natural Tregs. First, ovalbumin-sensitized mice were depleted of CD25+ T cells by intraperitoneal injection of anti-CD25 mAb (PC61) either for along-term (repeated injections of anti-CD25 from day 31 until the end of the protocol) or a short-term period (single injection of anti-CD25 before or after tolerance induction). We demonstrated that the long-term depletion of CD4+CD25+ T cells severely hampered tolerance induction (marked enhancement in eosinophil recruitment into BALF and a vigorous antigen specific T cell response to OVA upon allergen challenge) whereas transient depletions were not sufficient to do so. We then characterized T cell subsets by flow cytometry and observed that a large part of CD4+CD25+ T cells express Foxp3, an established marker of regulatory T cells. We also tested in-vitro suppressor activity of CD4+CD25+ T cells from tolerized mice by cell proliferation assay in coculture and observed a strong suppressive activity. Our data suggest that CD4+CD25+ T cells with regulatory properties play a crucial role in the induction of tolerance via the nasal route. The relationship between CD25+ natural Treg and inducible IL-10+ TRl-type Treg will have to be defined. RESUME L'asthme est un syndrome inflammatoire complexe provoqué par des facteurs environnementaux chez des individus génétiquement prédisposés (atopiques). Sa sévérité corrèle avec la présence des lymphocytes T activés et d'éosinophiles dans le lavage bronchoalvéolaire (BAL). L'induction de la tolérance par la voie nasale résulte en une diminution du recrutement des eosinophils dans le BAL, une inhibition de la sécrétion de cytokines pro-inflammatoires de type TH2 et de l'hypo-réponse des cellules T à l'allergène. Récemment, les cellules régulatrices «naturelles » de type CD4+CD25+ T (Tregs) ont été proposées comme acteurs essentiels dans le développement de l'asthme et de l'allergie. L'objectif de cette étude est d'étudier le rôle des cellules régulatrices CD4+CD25+ T dans les mécanismes menant à la tolérance dans un modèle établi d'asthme. Dans ce but nous avons déplété les cellules de CD4+CD25+ T à différents temps au cours du protocole d'induction d'asthme et de tolérance et nous avons regardé l'efficacité de l'induction de tolérance (application intranasale d'une dose importante d'allergène) en l'absence de Tregs. Dans un premier temps des souris sensibilisées à l'ovalbumine (OVA) ont été déplétées en cellules CD25+ T par l'injection intrapéritonéale d'anti-CD25 mAb (PC61) pour une longue période (injections répétées d'anti-CD25 du jour 31 jusqu'à la fin du protocole) ou pour une courte période (injection unique d'anti-CD25 avant ou après l'induction de tolérance). Nous avons démontré que la déplétion à long t erme des cellules de CD4+CD25+ T a empêché l'induction de tolérance (recrutement accru d'éosinophiles dans le BAL et une réponse vigoureuse des cellules T spécifiques de l'antigène après exposition à l'allergène) tandis des déplétions à court-terme n'ont pas cet effet. Nous avons ensuite caractérisé des sous-populations de cellules T par cytométrie de flux. Nous avons observé que la majorité des cellules CD4+CD25+ T expriment Foxp3, un marqueur établi des cellules régulatrices. Nous avons également examiné in vitro l'activité régulatrice des cellules T CD4+CD25+ issues de souris tolérisées. La prolifération de cellules T en coculture a démontré une forte activité suppressive des cellules CD4+CD25+. Nos données suggèrent que des cellules T CD4+CD25+ ayant des propriétés régulatrices jouent un rôle crucial dans l'induction de la tolérance par la voie nasale. Le rapport entre les cellules régulatrices naturelles CD4+CD25+ et les cellules régulatrices inductible de type TR1 I1-10+ devra être défini. RESUME DESTINE A UN LARGE PUBLIC L'asthme est une maladie inflammatoire des bronches, caractérisée par des crises de dyspnée (gêne respiratoire) témoignant d'une activation brutale des muscles bronchoconstricteurs, auxquelles s'associent un oedème et une hypersécrétion des muqueuses des voies aériennes ainsi qu'une importante production d'anticorps de l'allergie (IgE). Chez la plupart des enfants atteints et chez près de la moitié des adultes concernés par l'asthme, c'est une allergie à des substances présentes dans l'air environnant (acariens, pollens ou poils d'animaux) qui est à l'origine de la maladie. . Le traitement actuel de l'asthme repose d'une part sur le soulagement des symptômes grâce à des produits à base de stéroïdes ou des bronchodilatateurs. D'autre part, l'immunothérapie spécifique (aussi appelée désensibilisation) permet d'améliorer l'asthme et de «reprogrammer» le système immunitaire. C'est à ce jour, le seul moyen connu de faire régresser une allergie. Cependant l'immunothérapie prend beaucoup de temps (3 à 5 ans) et ne marche pas à tous les coups ni pour tous les antigènes. Il est donc important de mieux comprendre les mécanismes impliqués lors d'un tel traitement afin d'en améliorer l'efficacité. Af n de pouvoir investiguer en détail ces mécanismes des modèles d'immunothérapie ont été mis au point chez la souris. Notre étude se base sur un modèle d'asthme allergique chez la souris. Des souris sont rendues allergiques à l'ovalbumine (OVA) et présentent alors les caractéristiques majeures de l'asthme humain (recrutement de cellules inflammatoires dans les poumons, augmentation de la production d'IgE et de la résistance des bronches aux flux respiratoires). Ces souris asthmatiques une fois traitées par l'application nasale d'OVA (forme d'immunothérapie muqueuse) ne développent plus de réaction allergique lors d'une ré-exposition à l'allergène. Notre hypothèse est que cette «guérison» (tolérance) est liée à l'action de cellules (lymphocytes T CD4) dites «régulatrices» et caractérisées par le marqueur CD25. Pour le démontrer, nous avons éliminé ces cellules «régulatrices» CD25 de nos souris asthmatiques grâce à un anticorps monoclonal spécifique. Nous n'avons dès lors plus été en mesure d'induire une tolérance à l'allergène. Ceci suggère donc un rôle clé des cellules «régulatrices» T CD4+CD25+ dans la réussite de l'immunothérapie nasale dans notre modèle. Nos résultats n'excluent pas la participation d'autres cellules telles que les lymphocytes producteurs d'IL-10 (lymphocytes régulateurs induits). Le rôle respectif de ces sous-populations régulatrices devra être examiné dans les études à venir. Une meilleure maîtrise des mécanismes de régulation pourrait s'avérer cruciale pour améliorer les thérapies de l'asthme.

Computational and Energy Costs of Cryptographic Algorithms on Handheld Devices

Networks are evolving toward a ubiquitous model in which heterogeneousdevices are interconnected. Cryptographic algorithms are required for developing securitysolutions that protect network activity. However, the computational and energy limitationsof network devices jeopardize the actual implementation of such mechanisms. In thispaper, we perform a wide analysis on the expenses of launching symmetric and asymmetriccryptographic algorithms, hash chain functions, elliptic curves cryptography and pairingbased cryptography on personal agendas, and compare them with the costs of basic operatingsystem functions. Results show that although cryptographic power costs are high and suchoperations shall be restricted in time, they are not the main limiting factor of the autonomyof a device.

Environmental data mining and modeling based on machine learning algorithms and geostatistics

The paper presents some contemporary approaches to spatial environmental data analysis. The main topics are concentrated on the decision-oriented problems of environmental spatial data mining and modeling: valorization and representativity of data with the help of exploratory data analysis, spatial predictions, probabilistic and risk mapping, development and application of conditional stochastic simulation models. The innovative part of the paper presents integrated/hybrid model-machine learning (ML) residuals sequential simulations-MLRSS. The models are based on multilayer perceptron and support vector regression ML algorithms used for modeling long-range spatial trends and sequential simulations of the residuals. NIL algorithms deliver non-linear solution for the spatial non-stationary problems, which are difficult for geostatistical approach. Geostatistical tools (variography) are used to characterize performance of ML algorithms, by analyzing quality and quantity of the spatially structured information extracted from data with ML algorithms. Sequential simulations provide efficient assessment of uncertainty and spatial variability. Case study from the Chernobyl fallouts illustrates the performance of the proposed model. It is shown that probability mapping, provided by the combination of ML data driven and geostatistical model based approaches, can be efficiently used in decision-making process. (C) 2003 Elsevier Ltd. All rights reserved.

Salt tolerance and regulation of gas exchange and hormonal homeostasis by auxin-priming in wheat

The objective of this work was to assess the regulatory effects of auxin-priming on gas exchange and hormonal homeostasis in spring wheat subjected to saline conditions. Seeds of MH-97 (salt-intolerant) and Inqlab-91 (salt-tolerant) cultivars were subjected to 11 priming treatments (three hormones x three concentrations + two controls) and evaluated under saline (15 dS m-1) and nonsaline (2.84 dS m-1) conditions. The priming treatments consisted of: 5.71, 8.56, and 11.42 × 10-4 mol L-1 indoleacetic acid; 4.92, 7.38, and 9.84 × 10-4 mol L-1 indolebutyric acid; 4.89, 7.34, and 9.79 × 10-4 mol L-1 tryptophan; and a control with hydroprimed seeds. A negative control with nonprimed seeds was also evaluated. All priming agents diminished the effects of salinity on endogenous abscisic acid concentration in the salt-intolerant cultivar. Grain yield was positively correlated with net CO2 assimilation rate and endogenous indoleacetic acid concentration, and it was negatively correlated with abscisic acid and free polyamine concentrations. In general, the priming treatment with tryptophan at 4.89 × 10-4 mol L-1 was the most effective in minimizing yield losses and reductions in net CO2 assimilation rate, under salt stress conditions. Hormonal homeostasis increases net CO2 assimilation rate and confers tolerance to salinity on spring wheat.

Robust power allocation algorithms for MIMO OFDM systems with imperfect CSI

This paper presents a Bayesian approach to the design of transmit prefiltering matrices in closed-loop schemes robust to channel estimation errors. The algorithms are derived for a multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) system. Two different optimizationcriteria are analyzed: the minimization of the mean square error and the minimization of the bit error rate. In both cases, the transmitter design is based on the singular value decomposition (SVD) of the conditional mean of the channel response, given the channel estimate. The performance of the proposed algorithms is analyzed,and their relationship with existing algorithms is indicated. As withother previously proposed solutions, the minimum bit error rate algorithmconverges to the open-loop transmission scheme for very poor CSI estimates.

Practical algorithms for a family of waterfilling solutions

Many engineering problems that can be formulatedas constrained optimization problems result in solutionsgiven by a waterfilling structure; the classical example is thecapacity-achieving solution for a frequency-selective channel.For simple waterfilling solutions with a single waterlevel and asingle constraint (typically, a power constraint), some algorithmshave been proposed in the literature to compute the solutionsnumerically. However, some other optimization problems result insignificantly more complicated waterfilling solutions that includemultiple waterlevels and multiple constraints. For such cases, itmay still be possible to obtain practical algorithms to evaluate thesolutions numerically but only after a painstaking inspection ofthe specific waterfilling structure. In addition, a unified view ofthe different types of waterfilling solutions and the correspondingpractical algorithms is missing.The purpose of this paper is twofold. On the one hand, itoverviews the waterfilling results existing in the literature from aunified viewpoint. On the other hand, it bridges the gap betweena wide family of waterfilling solutions and their efficient implementationin practice; to be more precise, it provides a practicalalgorithm to evaluate numerically a general waterfilling solution,which includes the currently existing waterfilling solutions andothers that may possibly appear in future problems.

Probabilistic algorithms for blind adaptive multiuser detection

In this paper, two probabilistic adaptive algorithmsfor jointly detecting active users in a DS-CDMA system arereported. The first one, which is based on the theory of hiddenMarkov models (HMM’s) and the Baum–Wech (BW) algorithm,is proposed within the CDMA scenario and compared withthe second one, which is a previously developed Viterbi-basedalgorithm. Both techniques are completely blind in the sense thatno knowledge of the signatures, channel state information, ortraining sequences is required for any user. Once convergencehas been achieved, an estimate of the signature of each userconvolved with its physical channel response (CR) and estimateddata sequences are provided. This CR estimate can be used toswitch to any decision-directed (DD) adaptation scheme. Performanceof the algorithms is verified via simulations as well as onexperimental data obtained in an underwater acoustics (UWA)environment. In both cases, performance is found to be highlysatisfactory, showing the near–far resistance of the analyzed algorithms.

Targeting autophagy to prevent neonatal stroke damage.

Cell death due to cerebral ischemia has been attributed to necrosis and apoptosis, but autophagic mechanisms have recently been implicated as well. Using rats exposed to neonatal focal cerebral ischemia, we have shown that lysosomal and autophagic activities are increased in ischemic neurons, and have obtained strong neuroprotection by post-ischemic inhibition of autophagy.

Performance of noninvasive ventilation algorithms on ICU ventilators during pressure support: a clinical study.

To evaluate the impact of noninvasive ventilation (NIV) algorithms available on intensive care unit ventilators on the incidence of patient-ventilator asynchrony in patients receiving NIV for acute respiratory failure. Prospective multicenter randomized cross-over study. Intensive care units in three university hospitals. Patients consecutively admitted to the ICU and treated by NIV with an ICU ventilator were included. Airway pressure, flow and surface diaphragmatic electromyography were recorded continuously during two 30-min periods, with the NIV (NIV+) or without the NIV algorithm (NIV0). Asynchrony events, the asynchrony index (AI) and a specific asynchrony index influenced by leaks (AIleaks) were determined from tracing analysis. Sixty-five patients were included. With and without the NIV algorithm, respectively, auto-triggering was present in 14 (22%) and 10 (15%) patients, ineffective breaths in 15 (23%) and 5 (8%) (p = 0.004), late cycling in 11 (17%) and 5 (8%) (p = 0.003), premature cycling in 22 (34%) and 21 (32%), and double triggering in 3 (5%) and 6 (9%). The mean number of asynchronies influenced by leaks was significantly reduced by the NIV algorithm (p < 0.05). A significant correlation was found between the magnitude of leaks and AIleaks when the NIV algorithm was not activated (p = 0.03). The global AI remained unchanged, mainly because on some ventilators with the NIV algorithm premature cycling occurs. In acute respiratory failure, NIV algorithms provided by ICU ventilators can reduce the incidence of asynchronies because of leaks, thus confirming bench test results, but some of these algorithms can generate premature cycling.

Genetic parameters for drought-tolerance in cassava

The objective of this work was to evaluate the effect of drought on genetic parameters and breeding values of cassava. The experiments were carried out in a completely randomized block design with three replicates, under field conditions with (WD) or without (FI) water deficit. Yield of storage roots (RoY), shoot (ShY), and starch (StY), as well as the number of roots (NR), and root dry matter content (DMC) were evaluated in 47 cassava accessions. Significant differences were observed among accessions; according to heritability, these differences had mostly a genetic nature. Heritability estimates for genotypic effects () ranged from 0.25±0.12 (NR) to 0.60±0.18 (DMC), and from 0.51±0.17 (NR) to 0.80±0.21 (RoY and StY) for WD and FI, respectively, as a consequence of greater environmental influence on WD. Selective accuracy was lower in WD, and ranged from 0.71 (NR) to 0.89 (RoY, DMC, and StY). However, genetic gains were quite high and ranged from 24.43% (DMC) to 113.41% (StY), in WD, and from 8.5% (DMC) to 75.70% (StY) in FI. These genetic parameters may be useful for defining which selection strategies, breeding methods, and experimental designs are more suitable to obtain cassava genetic gains for tolerance to drought.