993 resultados para SUBSET


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Introduction: The Alternative Lengthening of Telomeres (ALT) mechanism is a significant prognostic factor for longer survival in patients with GBM, irrespective of age. The reasons for this are unknown. We considered two possibilities; firstly that ALT identifies a subset of less aggressive GBMs, or alternatively, a group of tumours that respond more favourably to adjuvant therapy. Methods: ALT was determined by staining for ALT Associated PML Bodies (APBs) in archival tissue in a retrospective analysis of 573 GBM patients. IDH1 mutation was determined by immunohistochemistry in a subset of these. Results: We identified the presence of the telomerase-independent ALT in 15% of GBM patients and found that it correlated with survival (22% of ALT patients survive more than 2 years compared to 9% for non-ALT). This survival advantage was independent of surgery type (biopsy or full resection) and treatment (radiotherapy and chemotherapy). Interestingly ALT conferred a significant survival advantage for patients who only received surgery (13.3 months compared to 5.5 months) (19% vs 1% .2 year survival). This survival benefit was also observed in GBM patients who received surgery and radiotherapy (18.5% vs 2.4%. 2 year survival), but less so for chemotherapy (21% vs 17% . 2 year survival). For the ALT patients the fraction surviving more than 2 years did not improve significantly with adjuvant therapy. IDH1 mutation also associated with ALT. Conclusions: These data indicate ALT+ tumours are biologically distinct and associated with improved patient survival, probably due to less aggressive/invasive growth. However they respond poorly to current adjuvant treatment and therefore new therapies are urgently needed for this group.

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Thymic dendritic cells (DCs) form a discrete subset of bone marrow (BM)-derived cells, the function of which is to mediate negative selection of autoreactive thymocytes. The developmental origin of thymic DCs remains controversial. Although cell transfer studies support a model in which T cells and thymic DCs develop from the same intrathymic pluripotential precursor, it remains possible that these two types of cells develop from independent intrathymic precursors. Notch proteins are cell surface receptors involved in the regulation of cell fate specification. We have recently reported that T cell development in inducible Notch1-deficient mice is severely impaired at an early stage, before the expression of T cell lineage markers. To investigate whether development of thymic DCs also depends on Notch1, we have constructed mixed BM chimeric mice. We report here that thymic DC development from Notch1(-/)- BM precursors is absolutely normal (in terms of absolute number and phenotype) in this competitive situation, despite the absence of Notch1(-/)- T cells. Furthermore, we find that peripheral DCs and Langerhans cells are also not affected by Notch1 deficiency. Our results demonstrate that the development of DCs is totally independent of Notch1 function, and strongly suggest a dissociation between intrathymic T cell and DC precursors.

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This was a methodological study conducted to describe the process and results of the development of an International Classification for Nursing Practice (ICNP®) Catalogue for Cancer Pain. According to the International Council of Nurses (ICN), this catalogue contains a subset of nursing diagnoses, outcomes, and interventions to document the implementation of the nursing process in cancer patients. This catalogue was developed in several steps according to the guidelines recommended by the ICN. As a result, 68 statements on nursing diagnoses/outcomes were obtained, which were classified according to the theoretical model for nursing care related to cancer pain into physical (28), psychological (29), and sociocultural and spiritual (11) aspects. A total of 116 corresponding nursing interventions were obtained. The proposed ICNP® Catalogue for Cancer Pain aims to provide safe and systematic orientation to nurses who work in this field, thus improving the quality of patient care and facilitating the performance of the nursing process.

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BACKGROUND: The hospital readmission rate has been proposed as an important outcome indicator computable from routine statistics. However, most commonly used measures raise conceptual issues. OBJECTIVES: We sought to evaluate the usefulness of the computerized algorithm for identifying avoidable readmissions on the basis of minimum bias, criterion validity, and measurement precision. RESEARCH DESIGN AND SUBJECTS: A total of 131,809 hospitalizations of patients discharged alive from 49 hospitals were used to compare the predictive performance of risk adjustment methods. A subset of a random sample of 570 medical records of discharge/readmission pairs in 12 hospitals were reviewed to estimate the predictive value of the screening of potentially avoidable readmissions. MEASURES: Potentially avoidable readmissions, defined as readmissions related to a condition of the previous hospitalization and not expected as part of a program of care and occurring within 30 days after the previous discharge, were identified by a computerized algorithm. Unavoidable readmissions were considered as censored events. RESULTS: A total of 5.2% of hospitalizations were followed by a potentially avoidable readmission, 17% of them in a different hospital. The predictive value of the screen was 78%; 27% of screened readmissions were judged clearly avoidable. The correlation between the hospital rate of clearly avoidable readmission and all readmissions rate, potentially avoidable readmissions rate or the ratio of observed to expected readmissions were respectively 0.42, 0.56 and 0.66. Adjustment models using clinical information performed better. CONCLUSION: Adjusted rates of potentially avoidable readmissions are scientifically sound enough to warrant their inclusion in hospital quality surveillance.

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Résumé tout public : Le développement du diabète de type II et de l'obésité est causé par l'interaction entre des gènes de susceptibilité et des facteurs environnementaux, en particulier une alimentation riche en calories et une activité physique insuffisante. Afín d'évaluer le rôle de l'alimentation en absence d'hétérogénéité génétique, nous avons nourri une lignée de souris génétiquement pure avec un régime extrêmement gras. Ce régime a conduit à l'établissement de différents phénotypes parmi ces souris, soit : un diabète et une obésité (ObD), un diabète mais pas d'obésité (LD) ou ni un diabète, ni une obésité (LnD). Nous avons fait l'hypothèse que ces adaptations différentes au stress nutritionnel induit par le régime gras étaient dues à l'établissement de programmes génétiques différents dans les principaux organes impliqués dans le maintien de l'équilibre énergétique. Afin d'évaluer cette hypothèse, nous avons développé une puce à ADN contenant approximativement 700 gènes du métabolisme. Cette puce à ADN, en rendant possible la mesure simultanée de l'expression de nombreux gènes, nous a permis d'établir les profils d'expression des gènes caractéristiques de chaque groupe de souris nourries avec le régime gras, dans le foie et le muscle squelettique. Les données que nous avons obtenues à partir de ces profils d'expression ont montré que des changements d'expression marqués se produisaient dans le foie et le muscle entre les différents groupes de souris nourries avec le régime gras. Dans l'ensemble, ces changements suggèrent que l'établissement du diabète de type II et de l'obésité induits par un régime gras est associé à une synthèse accrue de lipides par le foie et à un flux augmenté de lipides du foie jusqu'à la périphérie (muscles squelettiques). Dans un deuxième temps, ces profils d'expression des gènes ont été utilisés pour sélectionner un sous-ensemble de gènes suffisamment discriminants pour pouvoir distinguer entre les différents phénotypes. Ce sous-ensemble de gènes nous a permis de construire un classificateur phénotypique capable de prédire avec une précision relativement élevée le phénotype des souris. Dans le futur, de tels « prédicteurs » basés sur l'expression des gènes pourraient servir d'outils pour le diagnostic de pathologies liées au métabolisme. Summary: Aetiology of obesity and type II diabetes is multifactorial, involving both genetic and environmental factors, such as calory-rich diets or lack of exercice. Genetically homogenous C57BL/6J mice fed a high fat diet (HFD) up to nine months develop differential adaptation, becoming either obese and diabetic (ObD) or remaining lean in the presence (LD) or absence (LnD) of diabetes development. Each phenotype is associated with diverse metabolic alterations, which may result from diverse molecular adaptations of key organs involved in the control of energy homeostasis. In this study, we evaluated if specific patterns of gene expression could be associated with each different phenotype of HFD mice in the liver and the skeletal muscles. To perform this, we constructed a metabolic cDNA microarray containing approximately 700 cDNA representing genes involved in the main metabolic pathways of energy homeostasis. Our data indicate that the development of diet-induced obesity and type II diabetes is linked to some defects in lipid metabolism, involving a preserved hepatic lipogenesis and increased levels of very low density lipoproteins (VLDL). In skeletal muscles, an increase in fatty acids uptake, as suggested by the increased expression of lipoprotein lipase, would contribute to the increased level of insulin resistance observed in the ObD mice. Conversely, both groups of lean mice showed a reduced expression in lipogenic genes, particularly stearoyl-CoA desaturase 1 (Scd-1), a gene linked to sensitivity to diet-induced obesity. Secondly, we identified a subset of genes from expression profiles that classified with relative accuracy the different groups of mice. Such classifiers may be used in the future as diagnostic tools of each metabolic state in each tissue. Résumé Développement d'une puce à ADN métabolique et application à l'étude d'un modèle murin d'obésité et de diabète de type II L'étiologie de l'obésité et du diabète de type II est multifactorielle, impliquant à la fois des facteurs génétiques et environnementaux, tels que des régimes riches en calories ou un manque d'exercice physique. Des souris génétiquement homogènes C57BL/6J nourries avec un régime extrêmement gras (HFD) pendant 9 mois développent une adaptation métabolique différentielle, soit en devenant obèses et diabétiques (ObD), soit en restant minces en présence (LD) ou en absence (LnD) d'un diabète. Chaque phénotype est associé à diverses altérations métaboliques, qui pourraient résulter de diverses adaptations moléculaires des organes impliqués dans le contrôle de l'homéostasie énergétique. Dans cette étude, nous avons évalué si des profils d'expression des gènes dans le foie et le muscle squelettique pouvaient être associés à chacun des phénotypes de souris HFD. Dans ce but, nous avons développé une puce à ADN métabolique contenant approximativement 700 ADNc représentant des gènes impliqués dans les différentes voies métaboliques de l'homéostasie énergétique. Nos données indiquent que le développement de l'obésité et du diabète de type II induit par un régime gras est associé à certains défauts du métabolisme lipidique, impliquant une lipogenèse hépatique préservée et des niveaux de lipoprotéines de très faible densité (VLDL) augmentés. Au niveau du muscle squelettique, une augmentation du captage des acides gras, suggéré par l'expression augmentée de la lipoprotéine lipase, contribuerait à expliquer la résistance à l'insuline plus marquée observée chez les souris ObD. Au contraire, les souris minces ont montré une réduction marquée de l'expression des gènes lipogéniques, en particulier de la stéaroyl-CoA désaturase 1 (scd-1), un gène associé à la sensibilité au développement de l'obésité par un régime gras. Dans un deuxième temps, nous avons identifié un sous-ensemble de gènes à partir des profils d'expression, qui permettent de classifier avec une précision relativement élevée les différents groupes de souris. De tels classificateurs pourraient être utilisés dans le futur comme outils pour le diagnostic de l'état métabolique d'un tissu donné.

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The manner by which genotype and environment affect complex phenotypes is one of the fundamental questions in biology. In this study, we quantified the transcriptome--a subset of the metabolome--and, using targeted proteomics, quantified a subset of the liver proteome from 40 strains of the BXD mouse genetic reference population on two diverse diets. We discovered dozens of transcript, protein, and metabolite QTLs, several of which linked to metabolic phenotypes. Most prominently, Dhtkd1 was identified as a primary regulator of 2-aminoadipate, explaining variance in fasted glucose and diabetes status in both mice and humans. These integrated molecular profiles also allowed further characterization of complex pathways, particularly the mitochondrial unfolded protein response (UPR(mt)). UPR(mt) shows strikingly variant responses at the transcript and protein level that are remarkably conserved among C. elegans, mice, and humans. Overall, these examples demonstrate the value of an integrated multilayered omics approach to characterize complex metabolic phenotypes.

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Context Heart failure (HF) is the most common complication of infective endocarditis. However, clinical characteristics of HF in patients with infective endocarditis, use of surgical therapy, and their associations with patient outcome are not well described.Objectives To determine the clinical, echocardiographic, and microbiological variables associated with HF in patients with definite infective endocarditis and to examine variables independently associated with in-hospital and 1-year mortality for patients with infective endocarditis and HF, including the use and association of surgery with outcome.Design, Setting, and Patients The International Collaboration on Endocarditis-Prospective Cohort Study, a prospective, multicenter study enrolling 4166 patients with definite native- or prosthetic-valve infective endocarditis from 61 centers in 28 countries between June 2000 and December 2006.Main Outcome Measures In-hospital and 1-year mortality.Results Of 4075 patients with infective endocarditis and known HF status enrolled, 1359 (33.4% [95% CI, 31.9%-34.8%]) had HF, and 906 (66.7% [95% CI, 64.2%-69.2%]) were classified as having New York Heart Association class III or IV symptom status. Within the subset with HF, 839 (61.7% [95% CI, 59.2%-64.3%]) underwent valvular surgery during the index hospitalization. In-hospital mortality was 29.7% (95% CI, 27.2%-32.1%) for the entire HF cohort, with lower mortality observed in patients undergoing valvular surgery compared with medical therapy alone (20.6% [95% CI, 17.9%-23.4%] vs 44.8% [95% CI, 40.4%-49.0%], respectively; P < .001). One-year mortality was 29.1% (95% CI, 26.0%-32.2%) in patients undergoing valvular surgery vs 58.4% (95% CI, 54.1%-62.6%) in those not undergoing surgery (P < .001). Cox proportional hazards modeling with propensity score adjustment for surgery showed that advanced age, diabetes mellitus, health care-associated infection, causative microorganism (Staphylococcus aureus or fungi), severe HF (New York Heart Association class III or IV), stroke, and paravalvular complications were independently associated with 1-year mortality, whereas valvular surgery during the initial hospitalization was associated with lower mortality.Conclusion In this cohort of patients with infective endocarditis complicated by HF, severity of HF was strongly associated with surgical therapy and subsequent mortality, whereas valvular surgery was associated with lower in-hospital and 1-year mortality.

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BACKGROUND: Tenofovir (TDF) use has been associated with proximal renal tubulopathy, reduced calculated glomerular filtration rates (cGFR) and losses in bone mineral density. Bone resorption could result in a compensatory osteoblast activation indicated by an increase in serum alkaline phosphatase (sAP). A few small studies have reported a positive correlation between renal phosphate losses, increased bone turnover and sAP. METHODS: We analysed sAP dynamics in patients initiating (n = 657), reinitiating (n = 361) and discontinuing (n = 73) combined antiretroviral therapy with and without TDF and assessed correlations with clinical and epidemiological parameters. RESULTS: TDF use was associated with a significant increase of sAP from a median of 74 U/I (interquartile range 60-98) to a plateau of 99 U/I (82-123) after 6 months (P < 0.0001), with a prompt return to baseline upon TDF discontinuation. No change occurred in TDF-sparing regimes. Univariable and multivariable linear regression analyses revealed a positive correlation between sAP and TDF use (P < or = 0.003), but no correlation with baseline cGFR, TDF-related cGFR reduction, changes in serum alanine aminotransferase (sALT) or active hepatitis C. CONCLUSIONS: We document a highly significant association between TDF use and increased sAP in a large observational cohort. The lack of correlation between TDF use and sALT suggests that the increase in sAP is because of the bone isoenzyme and indicates stimulated bone turnover. This finding, together with published data on TDF-related renal phosphate losses, this finding raises concerns that TDF use could result in osteomalacia with a loss in bone mineral density at least in a subset of patients. This potentially severe long-term toxicity should be addressed in future studies.

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Arthrobacter chlorophenolicus A6 is a Gram-positive, 4-chlorophenol-degrading soil bacterium that was recently shown to be an effective colonizer of plant leaf surfaces. The genetic basis for this phyllosphere competency is unknown. In this paper, we describe the genome-wide expression profile of A.chlorophenolicus on leaves of common bean (Phaseolus vulgaris) compared with growth on agar surfaces. In phyllosphere-grown cells, we found elevated expression of several genes known to contribute to epiphytic fitness, for example those involved in nutrient acquisition, attachment, stress response and horizontal gene transfer. A surprising result was the leaf-induced expression of a subset of the so-called cph genes for the degradation of 4-chlorophenol. This subset encodes the conversion of the phenolic compound hydroquinone to 3-oxoadipate, and was shown to be induced not only by 4-chlorophenol but also hydroquinone, its glycosylated derivative arbutin, and phenol. Small amounts of hydroquinone, but not arbutin or phenol, were detected in leaf surface washes of P.vulgaris by gas chromatography-mass spectrometry. Our findings illustrate the utility of genomics approaches for exploration and improved understanding of a microbial habitat. Also, they highlight the potential for phyllosphere-based priming of bacteria to stimulate pollutant degradation, which holds promise for the application of phylloremediation.

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A cytochemical marker such as alpha-naphthyl acetate esterase (ANAE) has been found useful for the morphological identification of the subset of T lymphocytes having receptors for Fcμ (TM cells). ANAE reaction on TM cells gives a typical pattern of one to four positive spots, whereas this pattern is not found on T cells with receptors for Fcγ (TG cells). ANAE is abundant in monocytes but not detectable in granulocytes. Herein another type of esterase activity, naphthol-AS-D chloroacetate esterase (NCAE), is described; it is known to be abundant in granulocytes and was found to give a specific pattern of reactivity with the subpopulation of large granular lymphocytes (LGL). This pattern of fine granular staining was observed not only on LGL present in the TG cell subpopulation but also in LGL present in the non-T, non-B cells. Fractions of peripheral blood mononuclear cells which were ènriched up to 80% in LGL by Percoll discontinuous density gradient gave a similar percentage of specific NCAE pattern. In addition, among the different fractions from Percoll gradient, there was a good correlation (r = 0.94) between the number of NCAE-positive cells and the natural killer activity against the natural killer susceptible K562 target cells. It will be important to determine whether or not this enzymatic activity plays a role in the cytotoxic activities of LGL.

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We characterize the set of Walrasian allocations of an economy as theset of allocations which can be supported by abstract equilibria that satisfy a recontracting condition which reflects the idea that agents can freely trade with each other. An alternative (and weaker) recontracting condition characterizesthe core. The results are extended to production economies by extending thedefinition of the recontracting condition to include the possibility of agentsto recontract with firms. However, no optimization requirement is imposed onfirms. In pure exchange economies, an abstract equilibrium is a feasible allocation and a list of choice sets, one for each agent, that satisfy thefollowing conditions: an agent's choice set is a subset of the commodity space that includes his endowment; and each agent's equilibrium bundle isa maximal element in his choice set, with respect to his preferences. Therecontracting condition requires that any agent can buy bundles from any other agent's choice set by offering the other agent a bundle he prefers tohis equilibrium bundle.

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This paper fills a gap in the existing literature on least squareslearning in linear rational expectations models by studying a setup inwhich agents learn by fitting ARMA models to a subset of the statevariables. This is a natural specification in models with privateinformation because in the presence of hidden state variables, agentshave an incentive to condition forecasts on the infinite past recordsof observables. We study a particular setting in which it sufficesfor agents to fit a first order ARMA process, which preserves thetractability of a finite dimensional parameterization, while permittingconditioning on the infinite past record. We describe how previousresults (Marcet and Sargent [1989a, 1989b] can be adapted to handlethe convergence of estimators of an ARMA process in our self--referentialenvironment. We also study ``rates'' of convergence analytically and viacomputer simulation.

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For twelve months (from January to December of 1996) we investigated bee-flower interactions in a sea coastal ecosystem in Bahia, Brazil. Samples were taken three times each month. 3983 individuals belonging to 49 bee species, grouped in 13 morph-functional categories, visited 66 plant species belonging to 39 botanic families. It was observed 310 interactions between bees and plants at species level. The use of floral resources by bees was not homogeneous; most of the plant species received a low number of visitors. No restricted plant-bee species relationship in resource use concerning the subset of analyzed interactions was detected. In Abaeté the generalist relationships predominated.

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Consider the problem of testing k hypotheses simultaneously. In this paper,we discuss finite and large sample theory of stepdown methods that providecontrol of the familywise error rate (FWE). In order to improve upon theBonferroni method or Holm's (1979) stepdown method, Westfall and Young(1993) make eective use of resampling to construct stepdown methods thatimplicitly estimate the dependence structure of the test statistics. However,their methods depend on an assumption called subset pivotality. The goalof this paper is to construct general stepdown methods that do not requiresuch an assumption. In order to accomplish this, we take a close look atwhat makes stepdown procedures work, and a key component is a monotonicityrequirement of critical values. By imposing such monotonicity on estimatedcritical values (which is not an assumption on the model but an assumptionon the method), it is demonstrated that the problem of constructing a validmultiple test procedure which controls the FWE can be reduced to the problemof contructing a single test which controls the usual probability of a Type 1error. This reduction allows us to draw upon an enormous resamplingliterature as a general means of test contruction.

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Customer choice behavior, such as 'buy-up' and 'buy-down', is an importantphe-nomenon in a wide range of industries. Yet there are few models ormethodologies available to exploit this phenomenon within yield managementsystems. We make some progress on filling this void. Specifically, wedevelop a model of yield management in which the buyers' behavior ismodeled explicitly using a multi-nomial logit model of demand. Thecontrol problem is to decide which subset of fare classes to offer ateach point in time. The set of open fare classes then affects the purchaseprobabilities for each class. We formulate a dynamic program todetermine the optimal control policy and show that it reduces to a dynamicnested allocation policy. Thus, the optimal choice-based policy caneasily be implemented in reservation systems that use nested allocationcontrols. We also develop an estimation procedure for our model based onthe expectation-maximization (EM) method that jointly estimates arrivalrates and choice model parameters when no-purchase outcomes areunobservable. Numerical results show that this combined optimization-estimation approach may significantly improve revenue performancerelative to traditional leg-based models that do not account for choicebehavior.