Role and regulation of islet-Brain 1 in pancreatic β-cells

Résumé : L'insuline est produite et sécrétée par la cellule ß-pancréatique. Son rôle est de régler le taux de sucre dans le sang. Si ces cellules meurent ou échouent à produire suffisamment de l'insuline, les sujets développent le diabète de type 2 (DT2), une des maladies les plus communes dans les pays développés. L'excès chronique des lipoprotéines LDL oxydés (oxLDL) et/ou des cytokines pro-inflammatoires comme l'interleukine-1ß (IL-1ß) participent au dérèglement et à la mort des cellules ß. Nous avons montré qu'une chute des niveaux d'expression de la protéine nommée «mitogen activated protein kinase 8 interacting protein 1» ou «islet brain 1 (IB 1)» est en partie responsable des effets provoqués par les oxLDL ou IL-1ß. IB1 régule l'expression de l'insuline et la survie cellulaire en inhibant la voie de signalisation « c-jun N-terminal Kinase (JNK)». La réduction des niveaux d'expression d'IB1 provoque l'activation de la voie JNK en réponse aux facteurs environnementaux, et ainsi initie la réduction de l'expression de l'insuline et l'induction du programme de mort cellulaire. Les mimétiques de l'hormone "Glucagon-like peptide 1", tel que l'exendin-4 (ex-4), sont une nouvelle classe d'agents hypoglycémiants utilisés dans le traitement du DT2. Les effets bénéfiques de l'ex-4 sont en partie accomplis en préservant l'expression de l'insuline et la survie des cellules ß contre les stress associés au DT2. La restauration des niveaux d'expression d'IB1 est un des mécanismes par lequel l'ex-4 prodigue son effet sur la cellule. En effet, cette molécule stimule l'activité du promoteur du gène et ainsi compense la réduction du contenu en IB1 causée par le stress. Outre ce rôle anti-apoptotique, dans ce travail de thèse nous avons mis en évidence une autre fonction d'IB1 dans la cellule ß. La réduction de l'activité ou des niveaux d'expression d'IB1 induisent une réduction importante de la sécrétion de l'insuline en réponse au glucose. Le mécanisme par lequel IB1 régule la sécrétion de l'insuline implique à la fois le métabolisme du glucose et éventuellement le transport vésiculaire en contrôlant l'expression de la protéine annexin A2. En résumé, IB 1 est une molécule clé à travers laquelle l'environnement du diabétique pourrait exercer un effet délétère sur la cellule ß. L'amélioration de l'activité d'IB1 et/ou de son expression devrait être considérée dans les approches thérapeutiques futures visant à limiter la perte des cellules ß dans le diabète. Abstract : ß-cells of the pancreatic islets of Langerhans produce and secrete insulin when blood glucose rises. In turn, insulin ensures that plasma glucose concentrations return within a relatively narrow physiological range. If ß-cells die or fail to produce enough insulin, individuals develop one of the most common diseases in Western countries, namely type 2 diabetes (T2D). Chronic excess of oxidized low density lipoproteins (oxLDL) and/or pro-inflammatory cytokines such as interleukin 1-ß (IL-1ß) contribute to decline of ß-cells and thereby are thought to accelerate progression of the disease overtime. We showed that profound reduction in the levels of the mitogen activated protein kinase 8 interacting protein 1 also called islet brain 1 (IB1) causes ß-cell failure accomplished by oxLDL or IL-1 ß. IB1 regulates insulin expression and cell survivals by inhibiting the c-Jun N-terminal Kinase pathway. Diminution in IB 1 levels leads to an increase in activation of the JNK pathway induced by environmental stressors, and thus initiates loss of insulin expression and programmed cell death. The mimetic agents of the glucoincretin glucagon-like peptide 1 such as exendin-4 (ex-4) are new class of hypoglycaemic medicines for treatment of T2D. The beneficial property is in part achieved by preserving insulin expression and ß-cell survival against stressors related to diabetes. Restored levels in IB 1 account for the cytoprotective effect of the ex-4. In fact, the latter molecule .stimulates the promoter activity of the gene and thus compensates loss of IB1 content triggered by stress. Beside of the anti-apoptotic role, an additional leading function for IB 1 in ß-cells was highlighted in this thesis. Impairment in IB1 activity or silencing of the gene in ß-cells revealed a major reduction in insulin secretion elicited by glucose. The mechanisms whereby IB 1 couples glucose to insulin release involve glucose metabolism and potentially, vesicles trafficking by maintaining the levels of annexin A2. IB 1 is therefore a key molecule through which environmental factors related to diabetes may exert harmful effects on ß-cells. Improvement in IB 1 activity and/or expression should be considered as a target for therapeutic purpose.

Molecular design of the Calphabeta interface favors specific pairing of introduced TCRalphabeta in human T cells.

A promising approach to adoptive transfer therapy of tumors is to reprogram autologous T lymphocytes by TCR gene transfer of defined Ag specificity. An obstacle, however, is the undesired pairing of introduced TCRalpha- and TCRbeta-chains with the endogenous TCR chains. These events vary depending on the individual endogenous TCR and they not only may reduce the levels of cell surface-introduced TCR but also may generate hybrid TCR with unknown Ag specificities. We show that such hybrid heterodimers can be generated even by the pairing of human and mouse TCRalpha- and TCRbeta-chains. To overcome this hurdle, we have identified a pair of amino acid residues in the crystal structure of a TCR that lie at the interface of associated TCR Calpha and Cbeta domains and are related to each other by both a complementary steric interaction analogous to a "knob-into-hole" configuration and the electrostatic environment. We mutated the two residues so as to invert the sense of this interaction analogous to a charged "hole-into-knob" configuration. We show that this inversion in the CalphaCbeta interface promotes selective assembly of the introduced TCR while preserving its specificity and avidity for Ag ligand. Noteworthily, this TCR modification was equally efficient on both a Mu and a Hu TCR. Our data suggest that this approach is generally applicable to TCR independently of their Ag specificity and affinity, subset distribution, and species of origin. Thus, this strategy may optimize TCR gene transfer to efficiently and safely reprogram random T cells into tumor-reactive T cells.

Protective role of amantadine in mitochondrial dysfunction and oxidative stress mediated by hepatitis C virus protein expression.

Amantadine is an antiviral and antiparkinsonian drug that has been evaluated in combination therapies against hepatitis C virus (HCV) infection. Controversial results have been reported concerning its efficacy, and its mechanism of action remains unclear. Data obtained in vitro suggested a role of amantadine in inhibiting HCV p7-mediated cation conductance. In keeping with the fact that mitochondria are responsible to ionic fluxes and that HCV infection impairs mitochondrial function, we investigated a potential role of amantadine in modulating mitochondrial function. Using a well-characterized inducible cell line expressing the full-length HCV polyprotein, we found that amantadine not only prevented but also rescued HCV protein-mediated mitochondrial dysfunction. Specifically, amantadine corrected (i) overload of mitochondrial Ca(2+); (ii) inhibition of respiratory chain activity and oxidative phosphorylation; (iii) reduction of membrane potential; and (iv) overproduction of reactive oxygen species. The effects of amantadine were observed within 15 min following drug administration and confirmed in Huh-7.5 cells transfected with an infectious HCV genome. These effects were also observed in cells expressing subgenomic HCV constructs, indicating that they are not mediated or only in part mediated by p7. Single organelle analyzes carried out on isolated mouse liver mitochondria demonstrated that amantadine induces hyperpolarization of the membrane potential. Moreover, amantadine treatment increased the calcium threshold required to trigger mitochondrial permeability transition opening. In conclusion, these results support a role of amantadine in preserving cellular bioenergetics and redox homeostasis in HCV-infected cells and unveil an effect of the drug which might be exploited for a broader therapeutic utilization.

JNK3 is abundant in insulin-secreting cells and protects against cytokine-induced apoptosis.

AIMS/HYPOTHESIS: In insulin-secreting cells, activation of the c-Jun NH(2)-terminal kinase (JNK) pathway triggers apoptosis. Whereas JNK1 and JNK2 are ubiquitously produced, JNK3 has been described exclusively in neurons. This report aims to characterise the expression and role in apoptosis of the three JNK isoforms in insulin-secreting cells exposed to cytokines. METHODS: Sections of human and mouse pancreases were used for immunohistochemistry studies with isoform-specific anti-JNK antibodies. Human, pig, mouse and rat pancreatic islets were isolated by enzymatic digestion and RNA or protein extracts were prepared. RNA and protein levels were determined by quantitative RT-PCR and western blotting respectively, using JNK-isoform-specific primers and isoform-specific antibodies; activities of the three JNK isoforms were determined by kinase assays following quantitative immunoprecipitation/depletion of JNK3. JNK silencing was performed with small interfering RNAs and apoptotic rates were determined in INS-1E cells by scoring cells displaying pycnotic nuclei. RESULTS: JNK3 and JNK2 mRNAs are the predominant isoforms expressed in human pancreatic islets. JNK3 is nuclear while JNK2 is also cytoplasmic. In INS-1E cells, JNK3 knockdown increases c-Jun levels and caspase-3 cleavage and sensitises cells to cytokine-induced apoptosis; in contrast, JNK1 or JNK2 knockdown is protective. CONCLUSIONS/INTERPRETATION: In insulin-secreting cells, JNK3 plays an active role in preserving pancreatic beta cell mass from cytokine attacks. The specific localisation of JNK3 in the nucleus, its recruitment by cytokines, and its effects on key transcription factors such as c-Jun, indicate that JNK3 is certainly an important player in the transcriptional control of genes expressed in insulin-secreting cells.

Complete longitudinal analyses of the randomized, placebo-controlled, phase III trial of sunitinib in patients with gastrointestinal stromal tumor following imatinib failure.

PURPOSE: To analyze final long-term survival and clinical outcomes from the randomized phase III study of sunitinib in gastrointestinal stromal tumor patients after imatinib failure; to assess correlative angiogenesis biomarkers with patient outcomes. EXPERIMENTAL DESIGN: Blinded sunitinib or placebo was given daily on a 4-week-on/2-week-off treatment schedule. Placebo-assigned patients could cross over to sunitinib at disease progression/study unblinding. Overall survival (OS) was analyzed using conventional statistical methods and the rank-preserving structural failure time (RPSFT) method to explore cross-over impact. Circulating levels of angiogenesis biomarkers were analyzed. RESULTS: In total, 243 patients were randomized to receive sunitinib and 118 to placebo, 103 of whom crossed over to open-label sunitinib. Conventional statistical analysis showed that OS converged in the sunitinib and placebo arms (median 72.7 vs. 64.9 weeks; HR, 0.876; P = 0.306) as expected, given the cross-over design. RPSFT analysis estimated median OS for placebo of 39.0 weeks (HR, 0.505, 95% CI, 0.262-1.134; P = 0.306). No new safety concerns emerged with extended sunitinib treatment. No consistent associations were found between the pharmacodynamics of angiogenesis-related plasma proteins during sunitinib treatment and clinical outcome. CONCLUSIONS: The cross-over design provided evidence of sunitinib clinical benefit based on prolonged time to tumor progression during the double-blind phase of this trial. As expected, following cross-over, there was no statistical difference in OS. RPSFT analysis modeled the absence of cross-over, estimating a substantial sunitinib OS benefit relative to placebo. Long-term sunitinib treatment was tolerated without new adverse events.

Conservation phylogeography: does historical diversity contribute to regional vulnerability in European tree frogs (Hyla arborea)?

Documenting and preserving the genetic diversity of populations, which conditions their long-term survival, have become a major issue in conservation biology. The loss of diversity often documented in declining populations is usually assumed to result from human disturbances; however, historical biogeographic events, otherwise known to strongly impact diversity, are rarely considered in this context. We apply a multilocus phylogeographic study to investigate the late-Quaternary history of a tree frog (Hyla arborea) with declining populations in the northern and western part of its distribution range. Mitochondrial and nuclear polymorphisms reveal high genetic diversity in the Balkan Peninsula, with a spatial structure moulded by the last glaciations. While two of the main refugial lineages remained limited to the Balkans (Adriatic coast, southern Balkans), a third one expanded to recolonize Northern and Western Europe, loosing much of its diversity in the process. Our findings show that mobile and a priori homogeneous taxa may also display substructure within glacial refugia ('refugia within refugia') and emphasize the importance of the Balkans as a major European biodiversity centre. Moreover, the distribution of diversity roughly coincides with regional conservation situations, consistent with the idea that historically impoverished genetic diversity may interact with anthropogenic disturbances, and increase the vulnerability of populations. Phylogeographic models seem important to fully appreciate the risks of local declines and inform conservation strategies.

Clinical manifestations of mucous membrane pemphigoid in a tertiary center.

Mucous membrane pemphigoid (MMP) is a progressive inflammatory disease of autoimmune etiology. We performed a retrospective analysis of clinical signs and treatment on 16 patients. Conjunctival biopsies were performed in all patients and showed typical immuno-deposits at the basement membrane zone. The mean age at presentation was 69 years, 60 % were female.12 patients demonstrated ocular involvement (11 bilaterally). At the time of referral to our hospital, 92 % had reached an advanced stage III or IV. All patients presented conjunctival fibrosis with resultant fornix foreshortening. Trichiasis and symblepharon were found in 11 patients. Keratitis was found in 11 patients resulting in ulceration in 5 cases. Complications required surgical interventions included: entropion surgery (n = 2), tarsorrhaphy (n = 1), amniotic membrane transplantation (n = 2), keratoplasty (n = 1). Systemic immunomodulatory therapy is the treatment of choice. Dapsone (n = 8), steroids (n = 8), azathioprine (n = 5), cyclophosphamide (n = 2), mycophenolate mofetil (n = 4) and methotrexate (n = 1) were used concomitantly or consecutively. Early diagnosis can prevent ocular complications. Immunomodulatory therapy has provided an avenue for preserving vision. The management of MMP requires a multidisciplinary approach.

The average inter-crossing number of equilateral random walks and polygons

In this paper, we study the average inter-crossing number between two random walks and two random polygons in the three-dimensional space. The random walks and polygons in this paper are the so-called equilateral random walks and polygons in which each segment of the walk or polygon is of unit length. We show that the mean average inter-crossing number ICN between two equilateral random walks of the same length n is approximately linear in terms of n and we were able to determine the prefactor of the linear term, which is a = (3 In 2)/(8) approximate to 0.2599. In the case of two random polygons of length n, the mean average inter-crossing number ICN is also linear, but the prefactor of the linear term is different from that of the random walks. These approximations apply when the starting points of the random walks and polygons are of a distance p apart and p is small compared to n. We propose a fitting model that would capture the theoretical asymptotic behaviour of the mean average ICN for large values of p. Our simulation result shows that the model in fact works very well for the entire range of p. We also study the mean ICN between two equilateral random walks and polygons of different lengths. An interesting result is that even if one random walk (polygon) has a fixed length, the mean average ICN between the two random walks (polygons) would still approach infinity if the length of the other random walk (polygon) approached infinity. The data provided by our simulations match our theoretical predictions very well.

Adapting global conservation strategies to climate change at the European scale: the otter as a flagship species

Climate change has created the need for new strategies in conservation planning that account for the dynamics of factors threatening endangered species. Here we assessed climate change threat to the European otter, a flagship species for freshwater ecosystems, considering how current conservation areas will perform in preserving the species in a climatically changed future. We used an ensemble forecasting approach considering six modelling techniques applied to eleven subsets of otter occurrences across Europe. We performed a pseudo-independent and an internal evaluation of predictions. Future projections of species distribution were made considering the A2 and B2 scenarios for 2080 across three climate models: CCCMA-CGCM2, CSIRO-MK2 and HCCPR HAD-CM3. The current and the predicted otter distributions were used to identify priority areas for the conservation of the species, and overlapped to existing network of protected areas. Our projections show that climate change may profoundly reshuffle the otter's potential distribution in Europe, with important differences between the two scenarios we considered. Overall, the priority areas for conservation of the otter in Europe appear to be unevenly covered by the existing network of protected areas, with the current conservation efforts being insufficient in most cases. For a better conservation, the existing protected areas should be integrated within a more general conservation and management strategy incorporating climate change projections. Due to the important role that the otter plays for freshwater habitats, our study further highlights the potential sensitivity of freshwater habitats in Europe to climate change.

Lymph node stromal cells in homeostasis and immune response

Summary : Antigen-specific T lymphocytes constantly patrol the body to search for invading pathogens. Given the large external and internal body surfaces that need to be surveyed, a sophisticated strategy is necessary to facilitate encounters between T cells and pathogens. Dendritic cells present at all body surfaces are specialized in capturing pathogens and bringing them to T zones of secondary lymphoid organs, such as the lymph nodes and the spleen. Here, dendritic cells present antigenic fragments and activate the rare antigen-specific T lymphocytes. This induction of an immune response is facilitated in multiple ways by a dense network of poorly characterized stromal cells, termed fibroblastic reticular cells (FRCs). They constitutively produce the chemokines CCL21 and CCL19, which attract naïve T cells and dendritic cells into the T zone. Further, they provide an adhesion scaffold for dendritic cells and a migration scaffold for naïve T cells, allowing efficient screening of dendritic cell by thousands of T cells. FRCs also form a system of microchannels (conduits) that allows rapid transport of antigen or cytokines from the subcapsular sinus to the T zone. We characterized lymph node FRCS by flow cytometry, immunofluorescence microscopy, real time PCR and functional assays and could show that FRCs are a unique type of myofibroblasts which produce the T cell survival factor IL-7. This function was shown to be critically involved in regulating the size of the peripheral T cell pool and further demonstrates the importance of FRCs in maintaining immunocompetence. As we observed that some dendritic cells also express the receptor for IL-7, we expected a similar function of IL-7 in their survival. Surprisingly, we found no role for IL-7 in their survival but in their development. Analysis of hematopoietic precursors suggested that part of the dendritic cell pool develops out of an IL-7 dependent precursor, which maybe shared with lymphocytes. During the induction of an immune response, lymph node homeostasis is drastically altered when the lymph node expands several-fold in size to accommodate many more lymphocytes. Here, we describe that this expansion of the T zone is accompanied by the activation and proliferation of FRCs thereby preserving T zone architecture and function. This expansion of the FRC network is regulated by antigen-independent and -dependent events. It demonstrates the incredible plasticity of this organ allowing clonal expansion of antigen-specific lymphocytes. Résumé : Les lymphocytes T, spécifiques pour un antigène particulier, patrouillent constamment le corps à la recherche de l'invasion de pathogène. A cause des grandes surfaces externes et internes du corps, une stratégie sophistiquée est nécessaire afin de faciliter les rencontres entre les cellules T et les agents pathogènes. Les cellules dendritiques présentes dans toutes les surfaces du corps sont spécialisées dans la capture des agents pathogènes et dans le transport vers les zones T des organes lymphoïdes secondaires, comme les ganglions lymphatiques et la rate. Dans ces organes, les cellules dendritiques présentent les fragments antigéniques et activent les lymphocytes T rares. L'induction de cette réponse immunitaire est facilitée de différentes manières par un réseau dense de cellules strornales mal caractérisé, appelées 'fibroblastic reticular tells' (FRCs). FRCs produisent constitutivement les chimiokines CCL21 et CCL19, qui attirent les lymphocytes T naïfs et les cellules dendritiques vers la zone T. En outre, elles donnent une base d'adhérence pour les cellules dendritiques et elles attirent les cellules T naïves vers les cellules dendritiques. Les FRCs forment des petits canaux (ou conduits) qui permettent le transport rapide d'antigènes solubles ou de cytokines vers la zone T. Nous avons caractérisé les FRCs par cytométrie en flux, immunofluorescence et par PCR en temps réel et nous avons démontré que les FRCs sont un type unique de rnyofibroblastes qui produisent un facteur de survie des cellules T, l'Interleukine-7. Il a été démontré que cette fonction est cruciale afin d'augmenter la taille et la diversité du répertoire de cellules T, et ainsi, maintenir l'immunocompétence. Comme nous avons observé que certaines cellules dendritiques expriment également le récepteur de l'IL-7, nous avons testé une fonction similaire dans leur survie. Étonnamment, nous n'avons pas trouvé de rôle pour l'IL-7 dans leur survie, mais dans leur développement. L'analyse des précurseurs hématopoïétiques a suggéré qu'une fraction des cellules dendritiques se développe à partir des précurseurs dépendants de l'IL-7, qui sont probablement partagés avec les lymphocytes. Au cours de l'induction d'une réponse immunitaire, l'homéostasie du ganglion lymphatique est considérablement modifiée. En effet, sa taille augmente considérablement afin d'accueillir un plus grand nombre de lymphocytes. Nous décrivons ici que cet élargissement de la zone T est accompagné par l'activation et 1a prolifération des FRCs, préservant l'architecture et la fonction de la zone T. Cette expansion du réseau des FRCs est régie par des évènements à la fois dépendants et indépendants de l'antigène. Cela montre l'incroyable plasticité de cet organe qui permet l'expansion clonale des lymphocytes T spécifiques.

Inversion of crosshole seismic data in heterogenous environments : Comparison of waveform and ray-based approaches

High-resolution tomographic imaging of the shallow subsurface is becoming increasingly important for a wide range of environmental, hydrological and engineering applications. Because of their superior resolution power, their sensitivity to pertinent petrophysical parameters, and their far reaching complementarities, both seismic and georadar crosshole imaging are of particular importance. To date, corresponding approaches have largely relied on asymptotic, ray-based approaches, which only account for a very small part of the observed wavefields, inherently suffer from a limited resolution, and in complex environments may prove to be inadequate. These problems can potentially be alleviated through waveform inversion. We have developed an acoustic waveform inversion approach for crosshole seismic data whose kernel is based on a finite-difference time-domain (FDTD) solution of the 2-D acoustic wave equations. This algorithm is tested on and applied to synthetic data from seismic velocity models of increasing complexity and realism and the results are compared to those obtained using state-of-the-art ray-based traveltime tomography. Regardless of the heterogeneity of the underlying models, the waveform inversion approach has the potential of reliably resolving both the geometry and the acoustic properties of features of the size of less than half a dominant wavelength. Our results do, however, also indicate that, within their inherent resolution limits, ray-based approaches provide an effective and efficient means to obtain satisfactory tomographic reconstructions of the seismic velocity structure in the presence of mild to moderate heterogeneity and in absence of strong scattering. Conversely, the excess effort of waveform inversion provides the greatest benefits for the most heterogeneous, and arguably most realistic, environments where multiple scattering effects tend to be prevalent and ray-based methods lose most of their effectiveness.

Adaptively weighted maximum likelihood estimation of discrete distributions

SummaryDiscrete data arise in various research fields, typically when the observations are count data.I propose a robust and efficient parametric procedure for estimation of discrete distributions. The estimation is done in two phases. First, a very robust, but possibly inefficient, estimate of the model parameters is computed and used to indentify outliers. Then the outliers are either removed from the sample or given low weights, and a weighted maximum likelihood estimate (WML) is computed.The weights are determined via an adaptive process such that if the data follow the model, then asymptotically no observation is downweighted.I prove that the final estimator inherits the breakdown point of the initial one, and that its influence function at the model is the same as the influence function of the maximum likelihood estimator, which strongly suggests that it is asymptotically fully efficient.The initial estimator is a minimum disparity estimator (MDE). MDEs can be shown to have full asymptotic efficiency, and some MDEs have very high breakdown points and very low bias under contamination. Several initial estimators are considered, and the performances of the WMLs based on each of them are studied.It results that in a great variety of situations the WML substantially improves the initial estimator, both in terms of finite sample mean square error and in terms of bias under contamination. Besides, the performances of the WML are rather stable under a change of the MDE even if the MDEs have very different behaviors.Two examples of application of the WML to real data are considered. In both of them, the necessity for a robust estimator is clear: the maximum likelihood estimator is badly corrupted by the presence of a few outliers.This procedure is particularly natural in the discrete distribution setting, but could be extended to the continuous case, for which a possible procedure is sketched.RésuméLes données discrètes sont présentes dans différents domaines de recherche, en particulier lorsque les observations sont des comptages.Je propose une méthode paramétrique robuste et efficace pour l'estimation de distributions discrètes. L'estimation est faite en deux phases. Tout d'abord, un estimateur très robuste des paramètres du modèle est calculé, et utilisé pour la détection des données aberrantes (outliers). Cet estimateur n'est pas nécessairement efficace. Ensuite, soit les outliers sont retirés de l'échantillon, soit des faibles poids leur sont attribués, et un estimateur du maximum de vraisemblance pondéré (WML) est calculé.Les poids sont déterminés via un processus adaptif, tel qu'asymptotiquement, si les données suivent le modèle, aucune observation n'est dépondérée.Je prouve que le point de rupture de l'estimateur final est au moins aussi élevé que celui de l'estimateur initial, et que sa fonction d'influence au modèle est la même que celle du maximum de vraisemblance, ce qui suggère que cet estimateur est pleinement efficace asymptotiquement.L'estimateur initial est un estimateur de disparité minimale (MDE). Les MDE sont asymptotiquement pleinement efficaces, et certains d'entre eux ont un point de rupture très élevé et un très faible biais sous contamination. J'étudie les performances du WML basé sur différents MDEs.Le résultat est que dans une grande variété de situations le WML améliore largement les performances de l'estimateur initial, autant en terme du carré moyen de l'erreur que du biais sous contamination. De plus, les performances du WML restent assez stables lorsqu'on change l'estimateur initial, même si les différents MDEs ont des comportements très différents.Je considère deux exemples d'application du WML à des données réelles, où la nécessité d'un estimateur robuste est manifeste : l'estimateur du maximum de vraisemblance est fortement corrompu par la présence de quelques outliers.La méthode proposée est particulièrement naturelle dans le cadre des distributions discrètes, mais pourrait être étendue au cas continu.

Weighted Shape-based Averaging with Neighborhood Prior Model for Multiple Atlas Fusion-based Medical Image Segmentation

In medical imaging, merging automated segmentations obtained from multiple atlases has become a standard practice for improving the accuracy. In this letter, we propose two new fusion methods: "Global Weighted Shape-Based Averaging" (GWSBA) and "Local Weighted Shape-Based Averaging" (LWSBA). These methods extend the well known Shape-Based Averaging (SBA) by additionally incorporating the similarity information between the reference (i.e., atlas) images and the target image to be segmented. We also propose a new spatially-varying similarity-weighted neighborhood prior model, and an edge-preserving smoothness term that can be used with many of the existing fusion methods. We first present our new Markov Random Field (MRF) based fusion framework that models the above mentioned information. The proposed methods are evaluated in the context of segmentation of lymph nodes in the head and neck 3D CT images, and they resulted in more accurate segmentations compared to the existing SBA.

Magnetic and in vitro heating properties of implants formed in situ from injectable formulations and containing superparamagnetic iron oxide nanoparticles (SPIONs) embedded in silica microparticles for magnetically induced local hyperthermia

The biological and therapeutic responses to hyperthermia, when it is envisaged as an anti-tumor treatment modality, are complex and variable. Heat delivery plays a critical role and is counteracted by more or less efficient body cooling, which is largely mediated by blood flow. In the case of magnetically mediated modality, the delivery of the magnetic particles, most often superparamagnetic iron oxide nanoparticles (SPIONs), is also critically involved. We focus here on the magnetic characterization of two injectable formulations able to gel in situ and entrap silica microparticles embedding SPIONs. These formulations have previously shown suitable syringeability and intratumoral distribution in vivo. The first formulation is based on alginate, and the second on a poly(ethylene-co-vinyl alcohol) (EVAL). Here we investigated the magnetic properties and heating capacities in an alternating magnetic field (141 kHz, 12 mT) for implants with increasing concentrations of magnetic microparticles. We found that the magnetic properties of the magnetic microparticles were preserved using the formulation and in the wet implant at 37 degrees C, as in vivo. Using two orthogonal methods, a common SLP (20 Wg(-1)) was found after weighting by magnetic microparticle fraction, suggesting that both formulations are able to properly carry the magnetic microparticles in situ while preserving their magnetic properties and heating capacities. (C) 2010 Elsevier B.V. All rights reserved.

Iterative image reconstruction techniques: cardiothoracic computed tomography applications.

Iterative image reconstruction algorithms provide significant improvements over traditional filtered back projection in computed tomography (CT). Clinically available through recent advances in modern CT technology, iterative reconstruction enhances image quality through cyclical image calculation, suppressing image noise and artifacts, particularly blooming artifacts. The advantages of iterative reconstruction are apparent in traditionally challenging cases-for example, in obese patients, those with significant artery calcification, or those with coronary artery stents. In addition, as clinical use of CT has grown, so have concerns over ionizing radiation associated with CT examinations. Through noise reduction, iterative reconstruction has been shown to permit radiation dose reduction while preserving diagnostic image quality. This approach is becoming increasingly attractive as the routine use of CT for pediatric and repeated follow-up evaluation grows ever more common. Cardiovascular CT in particular, with its focus on detailed structural and functional analyses, stands to benefit greatly from the promising iterative solutions that are readily available.