961 resultados para Response models


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BACKGROUND In this study, we evaluated the ability of gene expression profiles to predict chemotherapy response and survival in triple-negative breast cancer (TNBC). METHODS Gene expression and clinical-pathological data were evaluated in five independent cohorts, including three randomised clinical trials for a total of 1055 patients with TNBC, basal-like disease (BLBC) or both. Previously defined intrinsic molecular subtype and a proliferation signature were determined and tested. Each signature was tested using multivariable logistic regression models (for pCR (pathological complete response)) and Cox models (for survival). Within TNBC, interactions between each signature and the basal-like subtype (vs other subtypes) for predicting either pCR or survival were investigated. RESULTS Within TNBC, all intrinsic subtypes were identified but BLBC predominated (55-81%). Significant associations between genomic signatures and response and survival after chemotherapy were only identified within BLBC and not within TNBC as a whole. In particular, high expression of a previously identified proliferation signature, or low expression of the luminal A signature, was found independently associated with pCR and improved survival following chemotherapy across different cohorts. Significant interaction tests were only obtained between each signature and the BLBC subtype for prediction of chemotherapy response or survival. CONCLUSIONS The proliferation signature predicts response and improved survival after chemotherapy, but only within BLBC. This highlights the clinical implications of TNBC heterogeneity, and suggests that future clinical trials focused on this phenotypic subtype should consider stratifying patients as having BLBC or not.

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Objective: Converging evidence speak in favor of an abnormal susceptibility to oxidative stress in schizophrenia. A decreased level of glutathione (GSH), the principal non-protein antioxidant and redox regulator, was observed both in cerebrospinal-fluid and prefrontal cortex of schizophrenia patients (Do et al., 2000). Results: Schizophrenia patients have an abnormal GSH synthesis most likely of genetic origin: Two independent case-control studies showed a significant association between schizophrenia and a GAG trinucleotide repeat (TNR) polymorphism in the GSH key synthesizing enzyme glutamate-cysteine-ligase (GCL) catalytic subunit (GCLC) gene. The most common TNR genotype 7/7 was more frequent in controls, whereas the rarest TNR genotype 8/8 was three times more frequent in patients. The disease-associated genotypes correlated with a decrease in GCLC protein expression, GCL activity and GSH content. Such a redox dysregulation during development could underlie the structural and functional anomalies in connectivity: In experimental models, GSH deficit induced anomalies similar to those observed in patients. (a) morphology: In animal models with GSH deficit during the development we observed in prefrontal cortex a decreased dendritic spines density in pyramidal cells and an abnormal development of parvalbumine (but not of calretinine) immunoreactive GABA interneurones in anterior cingulate cortex. (b) physiology: GSH depletion in hippocampal slices induces NMDA receptors hypofunction and an impairment of long term potentiation. In addition, GSH deficit affected the modulation of dopamine on NMDA-induced Ca 2+ response in cultured cortical neurons. While dopamine enhanced NMDA responses in control neurons, it depressed NMDA responses in GSH-depleted neurons. Antagonist of D2-, but not D1-receptors, prevented this depression, a mechanism contributing to the efficacy of antipsychotics. The redox sensitive ryanodine receptors and L-type calcium channels underlie these observations. (c) cognition: Developing rats with low [GSH] and high dopamine lead deficit in olfactory integration and in object recognition which appears earlier in males that females, in analogy to the delay of the psychosis onset between man and woman. Conclusion: These clinical and experimental evidence, combined with the favorable outcome of a clinical trial with N-Acetyl Cysteine, a GSH precursor, on both the negative symptoms (Berk et al., submitted) and the mismatch negativity in an auditory oddball paradigm supported the proposal that a GSH synthesis impairment of genetic origin represent, among other factors, one major risk factor in schizophrenia.

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Linear response functions are implemented for a vibrational configuration interaction state allowing accurate analytical calculations of pure vibrational contributions to dynamical polarizabilities. Sample calculations are presented for the pure vibrational contributions to the polarizabilities of water and formaldehyde. We discuss the convergence of the results with respect to various details of the vibrational wave function description as well as the potential and property surfaces. We also analyze the frequency dependence of the linear response function and the effect of accounting phenomenologically for the finite lifetime of the excited vibrational states. Finally, we compare the analytical response approach to a sum-over-states approach

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Background: Single nucleotide polymorphisms (SNPs) are the most frequent type of sequence variation between individuals, and represent a promising tool for finding genetic determinants of complex diseases and understanding the differences in drug response. In this regard, it is of particular interest to study the effect of non-synonymous SNPs in the context of biological networks such as cell signalling pathways. UniProt provides curated information about the functional and phenotypic effects of sequence variation, including SNPs, as well as on mutations of protein sequences. However, no strategy has been developed to integrate this information with biological networks, with the ultimate goal of studying the impact of the functional effect of SNPs in the structure and dynamics of biological networks. Results: First, we identified the different challenges posed by the integration of the phenotypic effect of sequence variants and mutations with biological networks. Second, we developed a strategy for the combination of data extracted from public resources, such as UniProt, NCBI dbSNP, Reactome and BioModels. We generated attribute files containing phenotypic and genotypic annotations to the nodes of biological networks, which can be imported into network visualization tools such as Cytoscape. These resources allow the mapping and visualization of mutations and natural variations of human proteins and their phenotypic effect on biological networks (e.g. signalling pathways, protein-protein interaction networks, dynamic models). Finally, an example on the use of the sequence variation data in the dynamics of a network model is presented. Conclusion: In this paper we present a general strategy for the integration of pathway and sequence variation data for visualization, analysis and modelling purposes, including the study of the functional impact of protein sequence variations on the dynamics of signalling pathways. This is of particular interest when the SNP or mutation is known to be associated to disease. We expect that this approach will help in the study of the functional impact of disease-associated SNPs on the behaviour of cell signalling pathways, which ultimately will lead to a better understanding of the mechanisms underlying complex diseases.

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 During a search for genes controlling conidial dormancy in Aspergillus fumigatus, two dehydrin-like genes, DprA and DprB, were identified. The deduced proteins had repeated stretches of 23 amino acids that contained a conserved dehydrin-like protein (DPR) motif. Disrupted DprAΔ mutants were hypersensitive to oxidative stress and to phagocytic killing, whereas DprBΔ mutants were impaired in osmotic and pH stress responses. However, no effect was observed on their pathogenicity in our experimental models of invasive aspergillosis. Molecular dissection of the signaling pathways acting upstream showed that expression of DprA was dependent on the stress-activated kinase SakA and the cyclic AMP-protein kinase A (cAMP-PKA) pathways, which activate the bZIP transcription factor AtfA, while expression of DprB was dependent on the SakA mitogen-activated protein kinase (MAPK) pathway, and the zinc finger transcription factor PacC. Fluorescent protein fusions showed that both proteins were associated with peroxisomes and the cytosol. Accordingly, DprA and DprB were important for peroxisome function. Our findings reveal a novel family of stress-protective proteins in A. fumigatus and, potentially, in filamentous ascomycetes.

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OBJECTIVES: The aim of our study was to evaluate the role of cell-membrane expressed TLRs and the signaling molecule MyD88 in a murine model of OA induced by knee menisectomy (surgical partial removal of the medial meniscus [MNX]). METHODS: OA was induced in 8-10weeks old C57Bl/6 wild-type (WT) female (n=7) mice and in knockout (KO) TLR-1 (n=7), -2 (n=8), -4 (n=9) -6 (n=5), MyD88 (n=8) mice by medial menisectomy, using the sham-operated contralateral knee as a control. Cartilage destruction and synovial inflammation were evaluated by knee joint histology using the OARSI scoring method. Apoptotic chondrocytes and cartilage metabolism (collagen II synthesis and MMP-mediated aggrecan degradation) were analyzed using immunohistochemistry. RESULTS: Operated knees exhibited OA features at 8weeks post-surgery compared to sham-operated ones. In menisectomized TLR-1, -2, -4, and -6 deficient mice, cartilage lesions, synovial inflammation and cartilage metabolism were similar to that in operated WT mice. Accordingly, using the same approach, we found no significant protection in MyD88-deficient mice in terms of OA progression as compared to WT littermates. CONCLUSIONS: Deficiency of TLRs or their signalling molecule MyD88 did not impact on the severity of experimental OA. Our results demonstrate that MyD88-dependent TLRs are not involved in this murine OA model. Moreover, the dispensable role of MyD88, which is also an adaptor for IL-1 receptor signaling, suggests that IL-1 is not a key mediator in the development of OA. This latter hypothesis is strengthened by the lack of efficiency of IL-1β antagonist in the treatment of OA.

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OBJECTIVE: To better understand the structure of the Patient Assessment of Chronic Illness Care (PACIC) instrument. More specifically to test all published validation models, using one single data set and appropriate statistical tools. DESIGN: Validation study using data from cross-sectional survey. PARTICIPANTS: A population-based sample of non-institutionalized adults with diabetes residing in Switzerland (canton of Vaud). MAIN OUTCOME MEASURE: French version of the 20-items PACIC instrument (5-point response scale). We conducted validation analyses using confirmatory factor analysis (CFA). The original five-dimension model and other published models were tested with three types of CFA: based on (i) a Pearson estimator of variance-covariance matrix, (ii) a polychoric correlation matrix and (iii) a likelihood estimation with a multinomial distribution for the manifest variables. All models were assessed using loadings and goodness-of-fit measures. RESULTS: The analytical sample included 406 patients. Mean age was 64.4 years and 59% were men. Median of item responses varied between 1 and 4 (range 1-5), and range of missing values was between 5.7 and 12.3%. Strong floor and ceiling effects were present. Even though loadings of the tested models were relatively high, the only model showing acceptable fit was the 11-item single-dimension model. PACIC was associated with the expected variables of the field. CONCLUSIONS: Our results showed that the model considering 11 items in a single dimension exhibited the best fit for our data. A single score, in complement to the consideration of single-item results, might be used instead of the five dimensions usually described.

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The paper proposes an approach aimed at detecting optimal model parameter combinations to achieve the most representative description of uncertainty in the model performance. A classification problem is posed to find the regions of good fitting models according to the values of a cost function. Support Vector Machine (SVM) classification in the parameter space is applied to decide if a forward model simulation is to be computed for a particular generated model. SVM is particularly designed to tackle classification problems in high-dimensional space in a non-parametric and non-linear way. SVM decision boundaries determine the regions that are subject to the largest uncertainty in the cost function classification, and, therefore, provide guidelines for further iterative exploration of the model space. The proposed approach is illustrated by a synthetic example of fluid flow through porous media, which features highly variable response due to the parameter values' combination.

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This paper points out an empirical puzzle that arises when an RBC economy with a job matching function is used to model unemployment. The standard model can generate sufficiently large cyclical fluctuations in unemployment, or a sufficiently small response of unemployment to labor market policies, but it cannot do both. Variable search and separation, finite UI benefit duration, efficiency wages, and capital all fail to resolve this puzzle. However, both sticky wages and match-specific productivity shocks help the model reproduce the stylized facts: both make the firm's flow of surplus more procyclical, thus making hiring more procyclical too.

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ABSTRACT Allergic asthma is a major complication of atopy. Its severity correlates with the presence of activated T lymphocytes and eosinophils in the bronchoalveolar lavage fluid (BALF). Mechanisms that protect against asthma are poorly understood. Based on oral models of mucosal tolerance induction, models using the nasal route showed that uptake of important amounts of antigen can induce tolerance and reverse the allergic phenotype. 1L-10 producing regulatory T cells were proposed as key players in tolerance induction, but other players, e.g. dendritic cells (DC), B cells and epithelial cells may have to be taken into consideration. The objective of the present study is to characterize the effects of a therapeutic intranasal treatment (INT) in a murine model of asthma and to determine, in this model, the cellular and molecular mechanisms leading to protection against asthma. First, we established an asthma model by sensitizing the BALB/c mouse to ovalbumin (OVA) by two intraperitoneal injections of alum-adsorbed OVA and three inhalations of aerosolized OVA. Then OVA was applied to the nasal mucosa of OVA- sensitized mice. Mice were later re-exposed to OVA aerosols to assess the protection induced by OVA INT. OVA sensitization induced strong eosinophil recruitment, OVA-specific T cell proliferation and IgE production. Three intranasal treatments at 24-hour intervals with 1.5 mg OVA drastically reduced inflammatory cell recruitment into the BALF and inhibited OVA-specific IgE production upon allergen re-exposure. T cell proliferation in ex vivo bronchial lymph node (BLN) cells was inhibited, as well as TH2 cytokine production. Protection against OVA-induced bronchial inflammation was effective for an extended period of time and treated mice resisted a second re-exposure. Transfer of CD4+ cells from BLN and lungs of OVA-treated mice protected asthmatic recipient mice from subsequent aerosol challenge indicating an involvement of CD4+ T regulatory cells in this protection. RESUME L'asthme allergique est une manifestation clinique majeure de l'atopie. La sévérité de l'asthme est liée à la présence de lymphocytes T activés ainsi que d'éosinophiles dans le lavage broncho-alvéolaire (LBA). Les mécanismes permettant de se prémunir contre l'asthme sont mal connus. Basés sur des modèles muqueux d'induction de tolérance par la voie orale, des modèles utilisant la voie nasale ont montré que d'importantes quantités d'antigène peuvent induire une tolérance et ainsi reverser le phénotype allergique. Des cellules régulatrices produisant de l'IL-10 pourraient jouer un rôle clé dans l'induction de la tolérance mais d'autres acteurs tels que les cellules dendritiques, les cellules B et les cellules épithéliales doivent aussi être prises en compte. L'objectif de la présente étude est de caractériser les effets d'un traitement intranasal thérapeutique dans un modèle murin d'asthme et de déterminer dans ce modèle les mécanismes cellulaires et moléculaires conférant une protection contre l'asthme. En premier lieu, un modèle d'asthme allergique a été établi en sensibilisant des souris BALB/c à l'ovalbumine (OVA) par deux injections intraperitonéales d'OVA adsorbé sur de l'alum et trois séances d'OVA en aérosol. Dans un second temps, de l'OVA a été administrée sur la muqueuse nasale des souris sensibilisées à l'OVA. Les souris furent ensuite challengées par des aérosols d'OVA afin d'évaluer la protection conférée par le traitement intranasal à l'OVA. La sensibilisation à l'OVA a induit un fort recrutement d'éosinophiles, une réponse proliférative des cellules T à l'OVA ainsi qu'une production d'lgE spécifiques. Trois traitements intranasaux à 24 heures d'intervalle avec 1.5 mg d'OVA ont permis de réduire drastiquement le recrutement des cellules inflammatoires dans le LBA ainsi que d'inhiber la production d'lgE spécifiques à l'OVA produits lors d'une ré-exposition à l'OVA. La prolifération en réponse à l'OVA de cellules extraites ex vivo de ganglions bronchiques a, elle aussi, été inhibée de même que la production de cytokines TH2. La protection contre l'inflammation provoquée par l'aérosol est efficace pour une longue période et les souris traitées résistent à une seconde ré- exposition. Le transfert de cellules CD4+ issues de ganglions bronchiques et de poumons de souris traitées à l'OVA protège les souris asthmatiques receveuses contre les effets inflammatoires d'un aérosol, indiquant que des cellules T CD4+ régulatrices pourraient être impliquées dans cette protection. RESUME DESTINE A UN LARGE PUBLIC L'asthme est une affection des voies respiratoires qui se caractérise par une contraction de la musculature des voies aériennes, une production de mucus et d'anticorps de l'allergie (IgE). On parle d'asthme allergique lorsque les facteurs déclenchant l'asthme sont des allergènes inhalés tels que acariens, pollens ou poils d'animaux. Le système immunitaire des patients asthmatiques a un défaut de programmation qui le rend réactif à des substances qui sont normalement inoffensives. Le traitement actuel de l'asthme repose sur le soulagement des symptômes grâce à des produits à base de stéroïdes. Les techniques permettant de reprogrammer le système immunitaire (immunothérapie) ne sont pas efficaces pour tous les antigènes et prennent beaucoup de temps. En conséquence, il est nécessaire de mieux comprendre les mécanismes sous-tendant une telle reprogrammation afin d'en améliorer le rendement et l'efficacité. Dans ce but, des modèles d'immunothérapie ont été mis au point chez la souris. Ils permettent une plus grande liberté d'investigation. Dans cette étude, un modèle d'asthme allergique dans la souris a été établi par une sensibilisation à un antigène particulier : l'ovalbumine (OVA). Ce modèle présente les caractéristiques principales de l'asthme humain : recrutement de cellules inflammatoires dans les poumons, augmentation de la production d'anticorps et de la résistance des bronches aux flux respiratoires. Cette souris asthmatique a ensuite été traitée par application nasale d'OVA. Comparées aux souris non traitées, les souris traitées à l'OVA ont moins de cellules inflammatoires dans leurs poumons et produisent moins d'anticorps IgE. D'autres marqueurs inflammatoires sont aussi fortement diminués. Des cellules de poumons ou de ganglions bronchiques prélevées sur des souris traitées injectées dans des souris asthmatiques améliorent les symptômes de l'asthme. Ces cellules pourraient donc avoir un rôle régulateur dans l'asthme. Les caractériser et les étudier afin d'être capable de les générer est crucial pour les futures thérapies de l'asthme.

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Cannabinoid receptor 1 (CB(1) receptor) controls several neuronal functions, including neurotransmitter release, synaptic plasticity, gene expression and neuronal viability. Downregulation of CB(1) expression in the basal ganglia of patients with Huntington's disease (HD) and animal models represents one of the earliest molecular events induced by mutant huntingtin (mHtt). This early disruption of neuronal CB(1) signaling is thought to contribute to HD symptoms and neurodegeneration. Here we determined whether CB(1) downregulation measured in patients with HD and mouse models was ubiquitous or restricted to specific striatal neuronal subpopulations. Using unbiased semi-quantitative immunohistochemistry, we confirmed previous studies showing that CB(1) expression is downregulated in medium spiny neurons of the indirect pathway, and found that CB(1) is also downregulated in neuropeptide Y (NPY)/neuronal nitric oxide synthase (nNOS)-expressing interneurons while remaining unchanged in parvalbumin- and calretinin-expressing interneurons. CB(1) downregulation in striatal NPY/nNOS-expressing interneurons occurs in R6/2 mice, Hdh(Q150/Q150) mice and the caudate nucleus of patients with HD. In R6/2 mice, CB(1) downregulation in NPY/nNOS-expressing interneurons correlates with diffuse expression of mHtt in the soma. This downregulation also occludes the ability of cannabinoid agonists to activate the pro-survival signaling molecule cAMP response element-binding protein in NPY/nNOS-expressing interneurons. Loss of CB(1) signaling in NPY/nNOS-expressing interneurons could contribute to the impairment of basal ganglia functions linked to HD.

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This paper theoretically and empirically documents a puzzle that arises when an RBC economy with a job matching function is used to model unemployment. The standard model can generate sufficiently large cyclical fluctuations in unemployment, or a sufficiently small response of unemployment to labor market policies, but it cannot do both. Variable search and separation, finite UI benefit duration, efficiency wages, and capital all fail to resolve this puzzle. However, either sticky wages or match-specific productivity shocks can improve the model's performance by making the firm's flow of surplus more procyclical, which makes hiring more procyclical too.

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Context There are no evidence syntheses available to guide clinicians on when to titrate antihypertensive medication after initiation. Objective To model the blood pressure (BP) response after initiating antihypertensive medication. Data sources electronic databases including Medline, Embase, Cochrane Register and reference lists up to December 2009. Study selection Trials that initiated antihypertensive medication as single therapy in hypertensive patients who were either drug naive or had a placebo washout from previous drugs. Data extraction Office BP measurements at a minimum of two weekly intervals for a minimum of 4 weeks. An asymptotic approach model of BP response was assumed and non-linear mixed effects modelling used to calculate model parameters. Results and conclusions Eighteen trials that recruited 4168 patients met inclusion criteria. The time to reach 50% of the maximum estimated BP lowering effect was 1 week (systolic 0.91 weeks, 95% CI 0.74 to 1.10; diastolic 0.95, 0.75 to 1.15). Models incorporating drug class as a source of variability did not improve fit of the data. Incorporating the presence of a titration schedule improved model fit for both systolic and diastolic pressure. Titration increased both the predicted maximum effect and the time taken to reach 50% of the maximum (systolic 1.2 vs 0.7 weeks; diastolic 1.4 vs 0.7 weeks). Conclusions Estimates of the maximum efficacy of antihypertensive agents can be made early after starting therapy. This knowledge will guide clinicians in deciding when a newly started antihypertensive agent is likely to be effective or not at controlling BP.

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In the Arabidopsis root meristem, polar auxin transport creates a transcriptional auxin response gradient that peaks at the stem cell niche and gradually decreases as stem cell daughters divide and differentiate [1-3]. The amplitude and extent of this gradient are essential for both stem cell maintenance and root meristem growth [4, 5]. To investigate why expression of some auxin-responsive genes, such as the essential root meristem growth regulator BREVIS RADIX (BRX) [6], deviates from this gradient, we combined experimental and computational approaches. We created cellular-level root meristem models that accurately reproduce distribution of nuclear auxin activity and allow dynamic modeling of regulatory processes to guide experimentation. Expression profiles deviating from the auxin gradient could only be modeled after intersection of auxin activity with the observed differential endocytosis pattern and positive autoregulatory feedback through plasma-membrane-to-nucleus transfer of BRX. Because BRX is required for expression of certain auxin response factor targets, our data suggest a cell-type-specific endocytosis-dependent input into transcriptional auxin perception. This input sustains expression of a subset of auxin-responsive genes across the root meristem's division and transition zones and is essential for meristem growth. Thus, the endocytosis pattern provides specific positional information to modulate auxin response.

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Three classes of thyroid hormone response elements have been described. They are composed of two half-sites arranged either as a palindromic, a direct repeat or as an inverted palindromic array. Receptor homodimers as well as heterodimers can bind to all three types of response element. While the ligand binding domain of the receptors provides the major dimerization surface, asymmetric contacts between the DNA binding domains are necessary for binding to a direct repeat. Moreover, some recent findings suggest that in TR, compared to RXR, the ligand binding domain has a 180 degrees rotation with respect to the DNA binding domain. This feature could explain the preferential binding of the RXR-TR heterodimer to the direct repeat response element, in which RXR exclusively binds the 5' half-site, and of the TR homodimer to the inverted palindrome response element.