816 resultados para Pattern Analysis Statistical Modeling and Computational Learning (PASCAL)


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Résumé Des tentatives pour développer des traitements anti-cancéreux basés sur l'utilisation d'antigènes tumoraux ont commencé il y a plus de 10 ans. Depuis quelques années, un certain intérêt s'est portée sur une sous-population particulière des cellules du système immunitaire, les lymphocytes T CD4. Ces cellules jouent un rôle central dans les réponses immunitaires tant contre les virus que contre les cellules tumorales. Comme d'autres lymphocytes T, ces cellules sont activées de manière spécifique en reconnaissant un morceau d'antigène, appelé peptide. Ces peptides proviennent soit de protéines des cellules de l'hôte, soit des protéines étrangères (virus ou bactéries) soit de cellules transformées (cellules tumorales) et sont présentés aux lymphocytes T par des molécules du soi appelées CMH (complexe majeur d'histocompatibilité). Dans le cas des lymphocytes T CD4, ces molécules sont plus précisément des molécules du CMH de classe II (CMH II). Mis à part l'intérêt porté aux réponses médiées par les lymphocytes T cytotoxiques, un intérêt croissant pour les lymphocytes T CD4 s'est développé à cause de la place centrale qu'occupent ces cellules dans les réponses immunitaires. L'identification d'épitopes présentés par des molécules du CMH de classe II dérivés d'un grand nombre d'antigènes tumoraux, ainsi que le développement de techniques permettant de suivre les réponses immunitaires, offre des opportunités pour étudier de manière quantitative et qualitative les lymphocytes T CD4 spécifiques pour un antigène particulier chez des patients cancéreux. De plus, ces épitopes permettent d'induire des réponses médiées par les lymphocytes T CD4 et CD8 chez ces mêmes patients. Dans ce travail, notre premier but était de valider l'utilisation de multimères formés par des complexes peptide:molécules de CMH de class II (pCMH II) pour quantifier la réponse des cellules T CD4 dirigée contre l'épitope HA307-319 dérivé de la protéine hémaglutinine du virus de la grippe et présenté par HLA-DRB1*0401. En analysant des échantillons provenant de volontaires sains ayant reçus un vaccin contre la grippe, nous avons pu démontrer une expansion et une activation transitoires des lymphocytes T CD4 spécifiques pour le peptide HA307-319 après vaccination. De plus, les multimères pCMH II nous ont permis d'analyser plus en détails hétérogénéité des cellules T CD4 spécifiques pour le peptide HA307-319 présents dans le sang périphérique d'individus sains. Par la suite, notre but a été d'analyser les réponses des lymphocytes T CD4 spécifiques pour l'antigène Melan-A chez des patients atteints de mélanome métastatique. Nous avons tout d'abord démontré la présence de cellules T CD4 spécifiques pour l'épitope Melan-A51-73, présenté par HLA-DRBl*0401, qui avait déjà été préalablement décrit. Ensuite, nous avons décrit et caractérisé 2 nouveaux peptides issus de Melan-A qui sont présentés aux cellules T CD4 par différentes molécules du CMH de clans II. Des cellules spécifiques pour ces deux épitopes ont été trouvées chez 9/ 16 patients analysés. De plus, des multimères pCMH II chargés avec un des épitopes nous ont permis de détecter ex vivo des lymphocytes T CD4 spécifiques pour Melan-A dans le sang périphérique d'un patient atteint de mélanome. Mis ensemble, tous ces résultats suggèrent une potentielle utilisation des multimères pCMH II pour analyser en détail les lymphocytes T CD4 spécifiques d'antigènes définis. Cependant, le suivi ex vivo de telles cellules ne semble être possible que dans des cas bien particuliers. Néanmoins, les nouveaux épitopes issus de Melan-A et présentés par des molécules du CMH de classe II que nous avons décrits dans cette étude aideront à étudier plus en détails les lymphocytes T CD4 spécifiques pour Melan-A chez des patients atteints de mélanome, un sujet d'étude sur lequel peu de résultats sont à ce jour disponibles. Summary Attempts to develop cancer vaccines based on molecularly defined tumorassociated antigens were initiated more than 10 years ago. Apart from CTLmediated anti-tumor immunity, interests are. now focused on CD4 T cells that are central players of immune responses. The identification of MHC class-II-restricted epitopes from numerous tumor antigens together with the development of monitoring tools offers the opportunity to quantitatively and qualitatively study antigen-specific CD4 T lymphocytes in cancer patients and to induce both CTL and T helper responses in cancer patients. In this work, we first aimed at validating the use of peptide:MHC class II complex (pMHC II) multimers to quantitate the CD4 T cell response against the hemagglutinin-derived epitope HAso~-si9 from influenza virus presented by HLA-DRBl*0401. By analysing samples from healthy volunteers vaccinated with ananti-influenza vaccine, we could demonstrate a transient expansion and activation of HA-specific CD4 T cells after treatment. Moreover, pMHC II multimers helped us to study the heterogeneity of HAspecific CD4 T cells found in peripheral blood of healthy individuals. Then, we aimed to analyse Melan-A-specific CD4 T cell responses in metastatic melanoma patients. We first demonstrated the presence of CD4 T cells specific for the previously described Melan-A51_73 epitope presented by HLA-DRB 1 *0401 in peripheral blood of those patients. Second, we described and characterised 2 new Melan-A-derived peptides that are presented by different MHC II molecules to CD4 T cells. Specific cells for these epitopes were found in 9/ 16 rnelánoma patients analysed. In addition, pMHC II multimers loaded with one of the two epitopes allowed us to detect ex vivo Melan-A-specific CD4 T cells in peripheral blood of a melanoma patient. Together, these results suggest a potential use of pMHC II multimers in analysing in detail antigen-specific CD4 T cells. However, ex vivo monitoring of such cells will be possible only in particular conditions. Nevertheless, the new Melan-A-derived MHC II-restricted epitopes described here will help to study in more detail Melan-A-specific CD4 T cells in melanoma patients, a field where only scarce data are available.

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Cefepime is a broad-spectrum cephalosporin indicated for in-hospital treatment of severe infections. Acute neurotoxicity, an increasingly recognized adverse effect of this drug in an overdose, predominantly affects patients with reduced renal function. Although dialytic approaches have been advocated to treat this condition, their role in this indication remains unclear. We report the case of an 88-year-old female patient with impaired renal function who developed life-threatening neurologic symptoms during cefepime therapy. She was treated with two intermittent 3-hour high-flux, high-efficiency hemodialysis sessions. Serial pre-, post-, and peridialytic (pre- and postfilter) serum cefepime concentrations were measured. Pharmacokinetic modeling showed that this dialytic strategy allowed for serum cefepime concentrations to return to the estimated nontoxic range 15 hours earlier than would have been the case without an intervention. The patient made a full clinical recovery over the next 48 hours. We conclude that at least 1 session of intermittent hemodialysis may shorten the time to return to the nontoxic range in severe clinically patent intoxication. It should be considered early in its clinical course pending chemical confirmation, even in frail elderly patients. Careful dosage adjustment and a high index of suspicion are essential in this population.

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Drosophila melanogaster is a model organism instrumental for numerous biological studies. The compound eye of this insect consists of some eight hundred individual ommatidia or facets, ca. 15 µm in cross-section. Each ommatidium contains eighteen cells including four cone cells secreting the lens material (cornea). High-resolution imaging of the cornea of different insects has demonstrated that each lens is covered by the nipple arrays--small outgrowths of ca. 200 nm in diameter. Here we for the first time utilize atomic force microscopy (AFM) to investigate nipple arrays of the Drosophila lens, achieving an unprecedented visualization of the architecture of these nanostructures. We find by Fourier analysis that the nipple arrays of Drosophila are disordered, and that the seemingly ordered appearance is a consequence of dense packing of the nipples. In contrast, Fourier analysis confirms the visibly ordered nature of the eye microstructures--the individual lenses. This is different in the frizzled mutants of Drosophila, where both Fourier analysis and optical imaging detect disorder in lens packing. AFM reveals intercalations of the lens material between individual lenses in frizzled mutants, providing explanation for this disorder. In contrast, nanostructures of the mutant lens show the same organization as in wild-type flies. Thus, frizzled mutants display abnormal organization of the corneal micro-, but not nano-structures. At the same time, nipples of the mutant flies are shorter than those of the wild-type. We also analyze corneal surface of glossy-appearing eyes overexpressing Wingless--the lipoprotein ligand of Frizzled receptors, and find the catastrophic aberration in nipple arrays, providing experimental evidence in favor of the major anti-reflective function of these insect eye nanostructures. The combination of the easily tractable genetic model organism and robust AFM analysis represents a novel methodology to analyze development and architecture of these surface formations.

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With the trend in molecular epidemiology towards both genome-wide association studies and complex modelling, the need for large sample sizes to detect small effects and to allow for the estimation of many parameters within a model continues to increase. Unfortunately, most methods of association analysis have been restricted to either a family-based or a case-control design, resulting in the lack of synthesis of data from multiple studies. Transmission disequilibrium-type methods for detecting linkage disequilibrium from family data were developed as an effective way of preventing the detection of association due to population stratification. Because these methods condition on parental genotype, however, they have precluded the joint analysis of family and case-control data, although methods for case-control data may not protect against population stratification and do not allow for familial correlations. We present here an extension of a family-based association analysis method for continuous traits that will simultaneously test for, and if necessary control for, population stratification. We further extend this method to analyse binary traits (and therefore family and case-control data together) and accurately to estimate genetic effects in the population, even when using an ascertained family sample. Finally, we present the power of this binary extension for both family-only and joint family and case-control data, and demonstrate the accuracy of the association parameter and variance components in an ascertained family sample.

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The equivalence between the covariant and the noncovariant versions of a constrained system is shown to hold after quantization in the framework of the field-antifield formalism. Our study covers the cases of electromagnetism and Yang-Mills fields and sheds light on some aspects of the Faddeev-Popov method, for both the covariant and noncovariant approaches, which have not been fully clarified in the literature.

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The likelihood of significant exposure to drugs in infants through breast milk is poorly defined, given the difficulties of conducting pharmacokinetics (PK) studies. Using fluoxetine (FX) as an example, we conducted a proof-of-principle study applying population PK (popPK) modeling and simulation to estimate drug exposure in infants through breast milk. We simulated data for 1,000 mother-infant pairs, assuming conservatively that the FX clearance in an infant is 20% of the allometrically adjusted value in adults. The model-generated estimate of the milk-to-plasma ratio for FX (mean: 0.59) was consistent with those reported in other studies. The median infant-to-mother ratio of FX steady-state plasma concentrations predicted by the simulation was 8.5%. Although the disposition of the active metabolite, norfluoxetine, could not be modeled, popPK-informed simulation may be valid for other drugs, particularly those without active metabolites, thereby providing a practical alternative to conventional PK studies for exposure risk assessment in this population.

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Research on regulation has crossed paths with the literature on policy instruments, showing that regulatory policy instruments contain cognitive and normative beliefs about policy. Thus, their usage stacks the deck in favor of one type of actor or one type of regulatory solution. In this article, we challenge the assumption that there is a predetermined relationship between ideas, regulatory policy instruments, and outcomes. We argue that different combinations of conditions lead to different outcomes, depending on how actors use the instrument. Empirically, we analyze 31 EU and UK case studies of regulatory impact assessment (RIA) - a regulatory policy instrument that has been pivotal in the so-called better regulation movement. We distinguish four main usages of RIA, that is, political, instrumental, communicative, and perfunctory. We find that in our sample instrumental usage is not so rare and that the contrast between communicative and political usages is less stark than is commonly thought. In terms of policy recommendations, our analysis suggests that there may be different paths to desirable outcomes. Policymakers should therefore explore different combinations of conditions leading to the usages they deem desirable rather than arguing for a fixed menu of variables.

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The equivalence between the covariant and the noncovariant versions of a constrained system is shown to hold after quantization in the framework of the field-antifield formalism. Our study covers the cases of electromagnetism and Yang-Mills fields and sheds light on some aspects of the Faddeev-Popov method, for both the covariant and noncovariant approaches, which have not been fully clarified in the literature.

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This paper deals with the recruitment strategies of employers in the low-skilled segment of the labour market. We focus on low-skilled workers because they are overrepresented among jobless people and constitute the bulk of the clientele included in various activation and labour market programmes. A better understanding of the constraints and opportunities of interventions in this labour market segment may help improve their quality and effectiveness. On the basis of qualitative interviews with 41 employers in six European countries, we find that the traditional signals known to be used as statistical discrimination devices (old age, immigrant status and unemployment) play a somewhat reduced role, since these profiles are overrepresented among applicants for low skill positions. However, we find that other signals, mostly considered to be indicators of motivation, have a bigger impact in the selection process. These tend to concern the channel through which the contact with a prospective candidate is made. Unsolicited applications and recommendations from already employed workers emit a positive signal, whereas the fact of being referred by the public employment office is associated with the likelihood of lower motivation.