957 resultados para novel algorithm
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Obscure gastrointestinal bleeding is still a clinical challenge for gastroenterologists. The recent development of novel technologies for the diagnosis and treatment of different bleeding causes has allowed a better management of patients, but it also determines the need of a deeper comprehension of pathophysiology and the analysis of local expertise in order to develop a rational management algorithm. Obscure gastrointestinal bleeding can be divided in occult, when a positive occult blood fecal test is the main manifestation, and overt, when external sings of bleeding are visible. In this paper we are going to focus on overt gastrointestinal bleeding, describing the physiopathology of the most usual causes, analyzing the diagnostic procedures available, from the most classical to the novel ones, and establishing a standard algorithm which can be adapted depending on the local expertise or availability. Finally, we will review the main therapeutic options for this complex and not so uncommon clinical problem.
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BACKGROUND & AIMS Hy's Law, which states that hepatocellular drug-induced liver injury (DILI) with jaundice indicates a serious reaction, is used widely to determine risk for acute liver failure (ALF). We aimed to optimize the definition of Hy's Law and to develop a model for predicting ALF in patients with DILI. METHODS We collected data from 771 patients with DILI (805 episodes) from the Spanish DILI registry, from April 1994 through August 2012. We analyzed data collected at DILI recognition and at the time of peak levels of alanine aminotransferase (ALT) and total bilirubin (TBL). RESULTS Of the 771 patients with DILI, 32 developed ALF. Hepatocellular injury, female sex, high levels of TBL, and a high ratio of aspartate aminotransferase (AST):ALT were independent risk factors for ALF. We compared 3 ways to use Hy's Law to predict which patients would develop ALF; all included TBL greater than 2-fold the upper limit of normal (×ULN) and either ALT level greater than 3 × ULN, a ratio (R) value (ALT × ULN/alkaline phosphatase × ULN) of 5 or greater, or a new ratio (nR) value (ALT or AST, whichever produced the highest ×ULN/ alkaline phosphatase × ULN value) of 5 or greater. At recognition of DILI, the R- and nR-based models identified patients who developed ALF with 67% and 63% specificity, respectively, whereas use of only ALT level identified them with 44% specificity. However, the level of ALT and the nR model each identified patients who developed ALF with 90% sensitivity, whereas the R criteria identified them with 83% sensitivity. An equal number of patients who did and did not develop ALF had alkaline phosphatase levels greater than 2 × ULN. An algorithm based on AST level greater than 17.3 × ULN, TBL greater than 6.6 × ULN, and AST:ALT greater than 1.5 identified patients who developed ALF with 82% specificity and 80% sensitivity. CONCLUSIONS When applied at DILI recognition, the nR criteria for Hy's Law provides the best balance of sensitivity and specificity whereas our new composite algorithm provides additional specificity in predicting the ultimate development of ALF.
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Na,K-ATPase is a potential target for regulatory phosphorylation by protein kinase A and C (PKA and PKC). To identify the phosphorylation sites, we have mutated the alpha 1-subunit of Bufo marinus in a highly conservative PKA and in 20 different PKC consensus sequences. The mutants were expressed in Xenopus oocytes and their phosphorylation capacity tested in homogenates upon stimulation of PKA or PKC. While serine 943 (Ser-943) was identified as a unique target site for PKA, none of the PKC consensus serine or threonine residues are implicated in PKC phosphorylation. Controlled trypsinolysis of phosphorylated alpha-subunits of various purified enzyme preparations and of alpha/beta complexes from oocyte homogenates revealed that PKC phosphorylation was exclusively associated with the N terminus. A fusion protein containing the first 32 amino acids of the Bufo alpha-subunit was phosphorylated in vitro and serine and threonine residues (Thr-15 and Ser-16) in this region were identified by site-directed mutagenesis as the PKC phosphorylation sites. Finally, the Bufo alpha-subunit was phosphorylated by protein kinases in transfected COS-7 cells. In intact cells, PKA stimulation induced phosphorylation exclusively on Ser-943 and PKC stimulation mainly on Thr-15 and Ser-16, which are contained in a novel PKC phosphorylation motif.
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Les cellules dendritiques (DCs) sont des cellules multifonctionnelles qui font le lien entre le sytème immunitaire inné et adaptatif chez les mammifères. Il existe plusieurs sous-types de DCs basés sur leurs fonctions et l'endroit où elles se situent dans le corps. Dans le cadre de cette thèse, nous avons étudié le rôle de ces cellules face à une infection parasitaire. La Leishmania est un parasite causant une maladie appelée Leishmaniose, maladie endémique de l'Afrique, de l'Asie et de certaines régions de l'Amérique du Sud. Certaines espèces causent des lésions cutanées, alors que d'autres causent des lésions dans les muqueuses ou dans les organes internes. Le système immunitaire répond en générant une réponse inflammatoire qui élimine l'infection. Lors d'une réponse non-inflammatoire (de type cytokines, chemokines), cela va amener à une persistance du parasite sur le long terme. Les DC s'activant en présence du parasite dans la peau, vont le transporter vers un ganglion. A cet endroit, se trouvent différents sous-types de DC qui ont la particularité de présenter l'antigène (spécifique à la Leishmaniose) aux lymphocytes T, ce qui va alors amener à une réponse immunitaire puissante contre le parasite. Nous avons comparé différentes espèces de Leishmaniose dans leur façon d'activer les DC et différents modèles de souris ont été utilisé dans ce but-là. Les souris du type C57BL/6 sont connues pour être résistantes à L. major et sensibles à L. mexicana, alors qu'au contraire, les souris Balb/c sont connues pour être sensibles à ces deux espèces. En utilisant des parasites fluorescents transgéniques, nous avons comparé ces deux espèces de parasites (L. major et L. mexicana) en recherchant quelles cellules elles sont capables d'infecter in-vivo dans un modèle murin. Le rôle général des DC dans une infection à L. major a déjà été décrit. Dans notre étude, nous avons étudié le besoin en DC CD8a+ dans les ganglions afin d'engendrer une réponse face à une infection à L. major. Les souris qui n'ont pas ce sous-type de DC sont beaucoup plus sensibles à l'infection : elles ont des marqueurs inflammatoires plus bas et des lésions plus grandes. Nous avons également remarqué que les DC CD8a+ jouent un rôle crucial dans une phase plus avancée de l'infection. Dans notre laboratoire, nous avons la chance d'avoir une source illimitée de DCs de sous-type CD8a+ provenant d'une souris génétiquement modifiée par nos soin. Grâce à cela, nous avons utilisé ces cellules CD8a+ pour immuniser des rats afin de produire des anticorps monoclonaux ayant des propriétés spécifiques comme l'identification de protéines uniques présentes à la surface des DC et qui ensuite, modulent une réponse immunitaire in-vivo. Nous sommes actuellement en phase de caractérisation de plus de 750 hybridomes générés dans notre laboratoire. - Les cellules dendritiques (DCs) constituent le lien entre le système inné et adaptatif de la réponse immunitaire, car elles sont capables de présenter l'antigène, de donner la co- stimulation et de relâcher des cytokines et chimokines. Au cours de cette thèse, nous avons exploré différentes familles de DC lors d'infections parasitaires, telles que la Leishmaniose, parasite intracellulaire qui infecte les mammifères. La plupart des lésions cutanées résistantes sont caractérisées par une réponse pro-inflammatoire générée par l'IL-12. A l'inverse, pour la forme non résistante, la réponse est générée par l'IL-4 et l'IL-10, dans les modèles murins vulnérables. L'infection avec Lmajor a été caractérisée chez la souris C57BL/6 (Thl) et chez la souris Balb/c (Th2). Chez la souris C57BL/6 la lésion guérit, alors que chez la souris Balb/c, la lésion est au contraire non-cicatrisante. Nous avons comparé l'activation causée dans l'ensemble des DC par différentes espéces de Leishmania, et plus spécifiquement dans les DC CD8a+ présentes dans les ganglions lymphatiques et leur rôle dans la vulnérabilité à L. major. Ces cellules sont spécialisées dans la présentation croisée d'antigènes exogènes par le CMH-I et le haut taux de production d'IL-12 après activation. En utilisant des DC dérivées de moelle osseuse, nous avons constaté que L. guyanensis V+ (transportant un retrovirus) était le plus efficace pour l'activation des DC in-vitro comparé à L. major, L. mexicana et L. guyanensis (V-). Toutefois, in-vivo, les souris infectées avec L. major ont vu la taille de leur ganglions lymphatiques drainants augmentée, 3-6 semaines après l'infection dans les deux espèces de souris (les C57BL/6 résistantes et les Balb/c sensibles). En utilisant un parasite fluorescent transgénique, nous avons trouvé que les souris C57BL/6 sensibles à Lmexicana ont un nombre plus important de cellules Β infectées et un plus petit nombre de DC dérivées des monocytes inflammatoires, comparé au souris infectées avec L. major. Les conséquences de ces observations sont encore à l'étude. Des souris déficientes en CD8ct+DC et CD103+ sont plus sensibles à L. major que les souris WT: leurs lésions sont plus grandes et la charge parasitaire est plus importante. Nous avons généré une chimère de moelles osseuse CD11-DTR et Batf3-/- en mélangeant les moelles de ces deux souris, afin de déterminer le temps après infection où le manque de DC's CD8a+ contribue le plus à l'augmentation de la vulnérabilité chez la souris KO. Ces souris produisent plus d'IgG1 et IgE, font une réponse Th2 plus forte et Thl moins forte. Nous avons constaté que les souris déficientes en DC CD8a+ au début de la réponse immunitaire adaptive (trois semaines après injection) maintiennent un haut taux de lésions de grande taille, semblable à celui des souris chez qui les cellules ont été déplétées avant l'injection. Cela indique que les DC CD8a+ sont nécessaires pour l'efficacité de l'immunité dans la phase chronique de l'infection à L. major. Parallèlement à cela, nous avons aussi commencé une génération d'anticorps monoclonaux dirigés contre les DC CD8a+ activés en utilisant des souches établies dans notre laboratoire. En partant d'une librairie de 763 hybridomes, nous avons identifié plusieurs clones dignes d'intérêt avec une capacité fonctionnelle à moduler la prolifération et la sécrétion de cytokines des cellules T, ainsi que les molécules de co-stimulation présentes à la surface des DC activées elle-même. - Dendritic cells (DCs) are the bridge between the innate and the adaptive arms of the immune systems. They are professional antigen presentation cells and have important cytokine/chemokine release functions. In this dissertation we have focussed on the study of the different subsets of DCs in parasitic infection immunity. Leishmania are intra-cellular parasites of many different species that infect mammals. Most cutaneous lesions that are self- healing are characterized with a pro-inflammatory response with IL-12 while high levels of cytokines such as IL-4 and IL-10 characterized in susceptible mouse models. In mice L. major infection has been well characterized in C57BL/6 mice (Thl) that form healing lesions while Balb/c mice (Th2) form non-healing lesions. This thesis is focussed on comparing DC activation at large by different strains of Leishmania and more specifically, dLN resident CD8a+ DCs and their role in L. major susceptibility. This subset is specialized in cross- presentation of exogenous antigens in the MHC-I pathway and produce high levels of EL-12. Using bone marrow derived DCs we found that L. guyanensis V+ (carrying a retro-virus) was the most efficient at activating DCs in-vitro. In-vivo however L. major infected mice had the largest dLNs 3-6 weeks after infection in both genetically resistant C57BL/6 and susceptible Balb/c mice. Using transgenic fluorescent parasites, we found that C57BL/6 mice which are susceptible to L. mexicana had more number of infected Β cells and fewer number of infected inflammatory monocyte derived DCs in contrast to L. major infection. Using mice deficient in CD8a+ DCs, we found that these mice were more susceptible to L. major than their WT counterparts. They made larger lesions, had higher parasite burdens, higher levels of Th2 indicating immunolgloblins as measured by higher serie IgE levels and lower CD4+ IFNy+ cells. A mixed bone marrow chimera system of CDllc-DTR and Batf3~'~ was generated to determine the time point at which the lack of CD8a+ DCs most contributes to the increased susceptibility in KO mice. We found that mice depleted of CD8a+ DCs at the advent of the adaptive response (3 weeks after infection) maintained the significantly higher lesion size similar to mice whose cells were depleted from the onset of infection. This indicates that CD8a+ DCs are required for effective immunity in the chronic phase of L. major infection. We also began the generation of a valuable tool of monoclonal antibodies against activated CD8a+ DCs using our in-house DC line. From a library of 763 hybridomas we have identified several interesting clones with a functional ability to modulate Τ cell proliferation and cytokine secretion as well as down-modulating co-stimulatory molecules on activated DC cells themselves.
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The authors focus on one of the methods for connection acceptance control (CAC) in an ATM network: the convolution approach. With the aim of reducing the cost in terms of calculation and storage requirements, they propose the use of the multinomial distribution function. This permits direct computation of the associated probabilities of the instantaneous bandwidth requirements. This in turn makes possible a simple deconvolution process. Moreover, under certain conditions additional improvements may be achieved
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This paper investigates the role of learning by private agents and the central bank (two-sided learning) in a New Keynesian framework in which both sides of the economy have asymmetric and imperfect knowledge about the true data generating process. We assume that all agents employ the data that they observe (which may be distinct for different sets of agents) to form beliefs about unknown aspects of the true model of the economy, use their beliefs to decide on actions, and revise these beliefs through a statistical learning algorithm as new information becomes available. We study the short-run dynamics of our model and derive its policy recommendations, particularly with respect to central bank communications. We demonstrate that two-sided learning can generate substantial increases in volatility and persistence, and alter the behavior of the variables in the model in a signifficant way. Our simulations do not converge to a symmetric rational expectations equilibrium and we highlight one source that invalidates the convergence results of Marcet and Sargent (1989). Finally, we identify a novel aspect of central bank communication in models of learning: communication can be harmful if the central bank's model is substantially mis-specified
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The azoles are the class of medications most commonly used to fight infections caused by Candida sp. Typically, resistance can be attributed to mutations in ERG11 gene (CYP51) which encodes the cytochrome P450 14α-demethylase, the primary target for the activity of azoles. The objective of this study was to identify mutations in the coding region of theERG11 gene in clinical isolates of Candidaspecies known to be resistant to azoles. We identified three new synonymous mutations in the ERG11 gene in the isolates of Candida glabrata (C108G, C423T and A1581G) and two new nonsynonymous mutations in the isolates of Candida krusei - A497C (Y166S) and G1570A (G524R). The functional consequence of these nonsynonymous mutations was predicted using evolutionary conservation scores. The G524R mutation did not have effect on 14α-demethylase functionality, while the Y166S mutation was found to affect the enzyme. This observation suggests a possible link between the mutation and dose-dependent sensitivity to voriconazole in the clinical isolate of C. krusei. Although the presence of the Y166S in phenotype of reduced azole sensitivity observed in isolate C. kruseidemands investigation, it might contribute to the search of new therapeutic agents against resistant Candida isolates.
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Mutations in PRPF31 are responsible for autosomal dominant retinitis pigmentosa (adRP, RP11 form) and affected families show nonpenetrance. Differential expression of the wildtype PRPF31 allele is responsible for this phenomenon: coinheritance of a mutation and a higher expressing wildtype allele provide protection against development of disease. It has been suggested that a major modulating factor lies in close proximity to the wildtype PRPF31 gene on Chromosome 19, implying that a cis-acting factor directly alters PRPF31 expression. Variable expression of CNOT3 is one determinant of PRPF31 expression. This study explored the relationship between CNOT3 (a trans-acting factor) and its paradoxical cis-acting nature in relation to RP11. Linkage analysis on Chromosome 19 was performed in mutation-carrying families, and the inheritance of the wildtype PRPF31 allele in symptomatic-asymptomatic sibships was assessed-confirming that differential inheritance of wildtype chromosome 19q13 determines the clinical phenotype (P < 2.6 × 10(-7) ). A theoretical model was constructed that explains the apparent conflict between the linkage data and the recent demonstration that a trans-acting factor (CNOT3) is a major nonpenetrance factor: we propose that this apparently cis-acting effect arises due to the intimate linkage of CNOT3 and PRPF31 on Chromosome 19q13-a novel mechanism that we have termed "linked trans-acting epistasis."
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Objectives. The goal of this study is to evaluate a T2-mapping sequence by: (i) measuring the reproducibility intra- and inter-observer variability in healthy volunteers in two separate scanning session with a T2 reference phantom; (2) measuring the mean T2 relaxation times by T2-mapping in infarcted myocardium in patients with subacute MI and compare it with patient's the gold standard X-ray coronary angiography and healthy volunteers results. Background. Myocardial edema is a consequence of an inflammation of the tissue, as seen in myocardial infarct (MI). It can be visualized by cardiovascular magnetic resonance (CMR) imaging using the T2 relaxation time. T2-mapping is a quantitative methodology that has the potential to address the limitation of the conventional T2-weighted (T2W) imaging. Methods. The T2-mapping protocol used for all MRI scans consisted in a radial gradient echo acquisition with a lung-liver navigator for free-breathing acquisition and affine image registration. Mid-basal short axis slices were acquired.T2-maps analyses: 2 observers semi- automatically segmented the left ventricle in 6 segments accordingly to the AHA standards. 8 healthy volunteers (age: 27 ± 4 years; 62.5% male) were scanned in 2 separate sessions. 17 patients (age : 61.9 ± 13.9 years; 82.4% male) with subacute STEMI (70.6%) and NSTEMI underwent a T2-mapping scanning session. Results. In healthy volunteers, the mean inter- and intra-observer variability over the entire short axis slice (segment 1 to 6) was 0.1 ms (95% confidence interval (CI): -0.4 to 0.5, p = 0.62) and 0.2 ms (95% CI: -2.8 to 3.2, p = 0.94, respectively. T2 relaxation time measurements with and without the correction of the phantom yielded an average difference of 3.0 ± 1.1 % and 3.1 ± 2.1 % (p = 0.828), respectively. In patients, the inter-observer variability in the entire short axis slice (S1-S6), was 0.3 ms (95% CI: -1.8 to 2.4, p = 0.85). Edema location as determined through the T2-mapping and the coronary artery occlusion as determined on X-ray coronary angiography correlated in 78.6%, but only in 60% in apical infarcts. All except one of the maximal T2 values in infarct patients were greater than the upper limit of the 95% confidence interval for normal myocardium. Conclusions. The T2-mapping methodology is accurate in detecting infarcted, i.e. edematous tissue in patients with subacute infarcts. This study further demonstrated that this T2-mapping technique is reproducible and robust enough to be used on a segmental basis for edema detection without the need of a phantom to yield a T2 correction factor. This new quantitative T2-mapping technique is promising and is likely to allow for serial follow-up studies in patients to improve our knowledge on infarct pathophysiology, on infarct healing, and for the assessment of novel treatment strategies for acute infarctions.
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Fasting is associated with significant changes in nutrient metabolism, many of which are governed by transcription factors that regulate the expression of rate-limiting enzymes. One factor that plays an important role in the metabolic response to fasting is the peroxisome proliferator-activated receptor alpha (PPARalpha). To gain more insight into the role of PPARalpha during fasting, and into the regulation of metabolism during fasting in general, a search for unknown PPARalpha target genes was performed. Using subtractive hybridization (SABRE) comparing liver mRNA from wild-type and PPARalpha null mice, we isolated a novel PPARalpha target gene, encoding the secreted protein FIAF (for fasting induced adipose factor), that belongs to the family of fibrinogen/angiopoietin-like proteins. FIAF is predominantly expressed in adipose tissue and is strongly up-regulated by fasting in white adipose tissue and liver. Moreover, FIAF mRNA is decreased in white adipose tissue of PPARgamma +/- mice. FIAF protein can be detected in various tissues and in blood plasma, suggesting that FIAF has an endocrine function. Its plasma abundance is increased by fasting and decreased by chronic high fat feeding. The data suggest that FIAF represents a novel endocrine signal involved in the regulation of metabolism, especially under fasting conditions.
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The system described herein represents the first example of a recommender system in digital ecosystems where agents negotiate services on behalf of small companies. The small companies compete not only with price or quality, but with a wider service-by-service composition by subcontracting with other companies. The final result of these offerings depends on negotiations at the scale of millions of small companies. This scale requires new platforms for supporting digital business ecosystems, as well as related services like open-id, trust management, monitors and recommenders. This is done in the Open Negotiation Environment (ONE), which is an open-source platform that allows agents, on behalf of small companies, to negotiate and use the ecosystem services, and enables the development of new agent technologies. The methods and tools of cyber engineering are necessary to build up Open Negotiation Environments that are stable, a basic condition for predictable business and reliable business environments. Aiming to build stable digital business ecosystems by means of improved collective intelligence, we introduce a model of negotiation style dynamics from the point of view of computational ecology. This model inspires an ecosystem monitor as well as a novel negotiation style recommender. The ecosystem monitor provides hints to the negotiation style recommender to achieve greater stability of an open negotiation environment in a digital business ecosystem. The greater stability provides the small companies with higher predictability, and therefore better business results. The negotiation style recommender is implemented with a simulated annealing algorithm at a constant temperature, and its impact is shown by applying it to a real case of an open negotiation environment populated by Italian companies
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Rare species have restricted geographic ranges, habitat specialization, and/or small population sizes. Datasets on rare species distribution usually have few observations, limited spatial accuracy and lack of valid absences; conversely they provide comprehensive views of species distributions allowing to realistically capture most of their realized environmental niche. Rare species are the most in need of predictive distribution modelling but also the most difficult to model. We refer to this contrast as the "rare species modelling paradox" and propose as a solution developing modelling approaches that deal with a sufficiently large set of predictors, ensuring that statistical models aren't overfitted. Our novel approach fulfils this condition by fitting a large number of bivariate models and averaging them with a weighted ensemble approach. We further propose that this ensemble forecasting is conducted within a hierarchic multi-scale framework. We present two ensemble models for a test species, one at regional and one at local scale, each based on the combination of 630 models. In both cases, we obtained excellent spatial projections, unusual when modelling rare species. Model results highlight, from a statistically sound approach, the effects of multiple drivers in a same modelling framework and at two distinct scales. From this added information, regional models can support accurate forecasts of range dynamics under climate change scenarios, whereas local models allow the assessment of isolated or synergistic impacts of changes in multiple predictors. This novel framework provides a baseline for adaptive conservation, management and monitoring of rare species at distinct spatial and temporal scales.
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Lipoxins (LXs), are endogenously produced eicosanoids, which possess potent antiinflammatory and proresolution bioactivities. The role of LXs in the endometrium is unknown. Our initial observations showed LXA4 enhanced estrogen receptor (ER)-mediated transcriptional activation in Ishikawa endometrial epithelial cells. Furthermore, we demonstrated that LXA4 possesses robust estrogenic activity through its capacity to alter cellular proliferation as well as the expression of estrogen-regulated genes implicated in cancer development. Interestingly, LXA4 also demonstrated antiestrogenic potential in that it attenuated E2-mediated cellular proliferation, consistent with the effects of a partial ER agonist. Subsequent studies revealed that these actions of LXA4 were directly mediated by ERa and appear to closely mimic those of the potent estrogen, 17b-Estradiol (E2). Using competitive radioligand binding assays, we confirmed that this lipid binds ER. We additionally demonstrated this estrogenic activity of LXA4 in mouse uterus in vivo using a uterotrophic assay and the expression of E2- dependent genes as readouts. Taken together our results establish a dual capacity of LXA4 to modulate estrogenic activity in the endometrium. These findings highlight a previously unappreciated paradigm in LXA4-mediated activities and reveal novel immunoendocrine crosstalk mechanisms. Disclosure of interest: None declared.