Dissecting TCR-MHC/peptide complex interactions with A2/peptide multimers incorporating tumor antigen peptide variants: crucial role of interaction kinetics on functional outcomes.

Soluble peptide/MHC-class-I (pMHC) multimers have recently emerged as unique reagents for the study of specific interactions between the pMHC complex and the TCR. Here, we assessed the relative binding efficiency of a panel of multimers incorporating single-alanine-substituted variants of the tumor-antigen-derived peptide MAGE-A10(254-262) to specific CTL clones displaying different functional avidity. For each individual clone, the efficiency of binding of multimers incorporating MAGE-A10 peptide variants was, in most cases, in good although not linear correlation with the avidity of recognition of the corresponding variant. In addition, we observed two types of discrepancies between efficiency of recognition and multimer binding. First, for some peptide variants, efficient multimer binding was detected in the absence of measurable effector functions. Some of these peptide variants displayed antagonist activity. Second, when comparing different clones we found clear discrepancies between the dose of peptide required to obtain half-maximal lysis in CTL assays and the binding efficiency of the corresponding multimers. These discrepancies, however, were resolved when the differential stability of the TCR/pMHC complexes was determined. For individual clones, decreased recognition correlated with increased TCR/pMHC off-rate. TCR/pMHC complexes formed by antagonist ligands displayed off-rates faster than those of TCR/pMHC complexes formed with weak agonists. In addition, when comparing different clones, the efficiency of multimer staining correlated better with relative multimer off-rates than with half-maximal lysis values. Altogether, the data presented here reconcile and extend our previous results on the impact of the kinetics of interaction of TCR with pMHC complexes on multimer binding and underline the crucial role of TCR/pMHC off-rates for the functional outcome of such interactions.

Openness and technology diffusion in payment

We study the relationship between openness and payment system development. In particular, we analyze how the existence of technology diffusion from a more developed country fosters a transformation of payment choice in a less developed country. We apply our analysis to Mexico. Economic growth in Mexico was not high enough to cause a transformation of payment choice observed in the data after 2001. We argue that the switch towards electronic payments can be attributed to openness and related payment technology spillovers from the US in the context of NAFTA.

Modelling scenarios of diffusion and control of pandemic influenza, italy

En aquest article es resumeixen els resultats publicats en un informe de l' ISS (Istituto Superiore di Sanità) del desembre de 2006, sobre un model matemàtic desenvolupat per un grup de treball que inclou a investigadors de les Universitats de Trento, Pisa i Roma, i els Instituts Nacionals de Salut (Istituto Superiore di Sanità, ISS), per avaluar i mesurar l'impacte de la transmissió i el control de la pandèmia de grip

Effects of the encapsulation of usnic acid into liposomes and interactions with antituberculous agents against multidrug-resistant tuberculosis clinical isolates

Mycobacterium tuberculosis (Mtb) has acquired resistance and consequently the antibiotic therapeutic options available against this microorganism are limited. In this scenario, the use of usnic acid (UA), a natural compound, encapsulated into liposomes is proposed as a new approach in multidrug-resistant tuberculosis (MDR-TB) therapy. Thus the aim of this study was to evaluate the effect of the encapsulation of UA into liposomes, as well as its combination with antituberculous agents such as rifampicin (RIF) and isoniazid (INH) against MDR-TB clinical isolates. The in vitro antimycobacterial activity of UA-loaded liposomes (UA-Lipo) against MDR-TB was assessed by the microdilution method. The in vitro interaction of UA with antituberculous agents was carried out using checkerboard method. Minimal inhibitory concentration values were 31.25 and 0.98 µg/mL for UA and UA-Lipo, respectively. The results exhibited a synergistic interaction between RIF and UA [fractional inhibitory concentration index (FICI) = 0.31] or UA-Lipo (FICI = 0.28). Regarding INH, the combination of UA or UA-Lipo revealed no marked effect (FICI = 1.30-2.50). The UA-Lipo may be used as a dosage form to improve the antimycobacterial activity of RIF, a first-line drug for the treatment of infections caused by Mtb.

Protein-protein interactions at the adrenergic receptors.

The adrenergic receptors are among the best characterized G protein-coupled receptors (GPCRs) and knowledge on this receptor family has provided several important paradigms about GPCR function and regulation. One of the most recent paradigms initially supported by studies on adrenergic receptors is that both βarrestins and G proteincoupled receptors themselves can act as scaffolds binding a variety of proteins and this can result in growing complexity of the receptor-mediated cellular effects. In this review we will briefly summarize the main features of βarrestin binding to the adrenergic receptor subtypes and we will review more in detail the main proteins found to selectively interact with distinct AR subtype. At the end, we will review the main findings on oligomerization of the AR subtypes.

Segmentation and grid generation for numerical simulations of vad connections with patient-specific data

Objectives: We are interested in the numerical simulation of the anastomotic region comprised between outflow canula of LVAD and the aorta. Segmenta¬tion, geometry reconstruction and grid generation from patient-specific data remain an issue because of the variable quality of DICOM images, in particular CT-scan (e.g. metallic noise of the device, non-aortic contrast phase). We pro¬pose a general framework to overcome this problem and create suitable grids for numerical simulations.Methods: Preliminary treatment of images is performed by reducing the level window and enhancing the contrast of the greyscale image using contrast-limited adaptive histogram equalization. A gradient anisotropic diffusion filter is applied to reduce the noise. Then, watershed segmentation algorithms and mathematical morphology filters allow reconstructing the patient geometry. This is done using the InsightToolKit library (www.itk.org). Finally the Vascular Model¬ing ToolKit (www.vmtk.org) and gmsh (www.geuz.org/gmsh) are used to create the meshes for the fluid (blood) and structure (arterial wall, outflow canula) and to a priori identify the boundary layers. The method is tested on five different patients with left ventricular assistance and who underwent a CT-scan exam.Results: This method produced good results in four patients. The anastomosis area is recovered and the generated grids are suitable for numerical simulations. In one patient the method failed to produce a good segmentation because of the small dimension of the aortic arch with respect to the image resolution.Conclusions: The described framework allows the use of data that could not be otherwise segmented by standard automatic segmentation tools. In particular the computational grids that have been generated are suitable for simulations that take into account fluid-structure interactions. Finally the presented method features a good reproducibility and fast application.

Interactions between feather-degrading bacteria and an avian host : zebra finches (Taeniopygia guttata)

Abstract: Birds harbor a variety of bacteria on their plumage, some of which can degrade feathers in vitro. Whether these keratinolytic bacteria are active on live birds and can effect feather degradation on birds is debatable. The effect of such bacteria on the body condition and behavior of birds, is unknown. Using a community of feather-degrading bacteria (EB), we investigate the interaction between the activity and load of such bacteria, on the morphology, body condition, and behavior of zebra finches (Taeniopygia guttata). In Chapter 2, we find that the elevated loads of such microbes lead to a reduction in the expression of morphological traits, such as male bill color (a sexually selected trait) and uropygial gland volume, without reducing body mass, or evoking a cellular immune response. We also suggest the presence of a carotenoid based defense response in hosts, to such elevated loads of microbes and document a sex-based difference in the source of carotenoids used for such a response. In Chapter 3, we investigated the effect of EB loads on male mate choice of zebra finches, wherein male choice of females with elevated and un-altered bacterial loads, varied with male size. We found that larger males preferred females with higher bacterial load and smaller males preferred females with lower bacterial load. Chapter 4 demonstrates that the presence of melanin in feathers reduces the growth and activity of the community of feather-degrading bacteria (EB) and that the EB community can effect feather degradation in humid conditions, without broth. Additional results also demonstrate that the EB community consists of bacteria that can attach themselves to feathers on live birds and those that can live freely on avian plumage. Finally, chapter 5 demonstrates that the self-maintenance, social and sexual behaviors of birds are implicated in the infection and horizontal transmission of bacteria. It also suggests a linked oral - faecal - genital mode of transmission of pathogens in birds. These results demonstrate that differential loads of normal flora of vertebrate hosts can effect changes in their morphology and behavior. They also shed light on the role of feather-degrading bacteria in the evolution of melanin polymorphism in birds and suggest that bacteria can be active on live birds. This thesis also highlights the importance of social and, sexual behaviors of birds, in epidemiology. Résumé: Les Oiseaux ont dans leur plumage diverses bactéries dont certaines dégradent les plumes in vitro, néanmoins. Il n'est pas clair, au vu de précédentes études, si ces bactéries kératinolytiques sont actives sur des oiseaux vivants, et si celles-ci dégradent effectivement le plumage de leur hôte, L'effet de ces bactéries sur la condition corporelle ainsi que le comportement des oiseaux n'est pas connu. A l'aide d'une communauté de bactéries dégradant les plumes (EB), non pathogènes, nous examinons les interactions entre l'activité et la charge bactérienne sur la morphologie, la condition corporelle et le comportement du diamant mandarins (Taeniopygia guttata). Dans le chapitre 2, nous montrons qu'une charge élevée de ces microbes mène à une réduction de l'expression de certains traits morphologiques, tels que la couleur du bec chez le mâle (un trait soumis à sélection sexuelle), ainsi que le volume de la glande uropygienne, sans qu'il y ait une réduction de la masse corporelle, ni déclenchement d'une réponse immune cellulaire. Nos données suggèrent la présence d'une défense chez l'hôte à des charges élevées de bactéries basée sur la présence de caroténoïdes. Nous montrons, de plus une différence liée au sexe dans la source des caroténoïdes utilisé pour cette réponse. Dans le chapitre 3 nous examinons l'influence de la charge bactérienne EB sur le choix des mâles chez le diamant mandarins. Des femelles avec une charge bactérienne normale et augmentée sont choisies par les mâles et ce choix varie avec la taille des mâles. Nous avons mis en évidence que les grands mâles préfèrent les femelles avec une charge bactérienne plus élevée. Les petits mâles préfèrent les femelles avec une charge bactérienne réduite. Le chapitre 4 démontre que la présence de mélanine dans les plumes réduit la croissance et l'activité de la communauté de bactéries dégradant le plumage (EB), et que cette communauté EB peut dégrader les plumes dans des conditions humides, sans milieu de culture liquide. De plus nous montrons que cette communauté consiste en des bactéries qui peuvent s'attacher sur les plumes d'oiseaux vivants ainsi que des bactéries libres. Pour finir nous montrons dans le chapitre 5 que la maintenance corporelle, l'interaction sociale et le comportement sexuel de ces oiseaux sont impliqués dans l'infection et la transmission horizontale de ces bactéries. Nos données suggèrent une transmission orale-fécale-génitale des pathogènes chez les oiseaux. Ces résultats montrent que des charges différentes de la flore bactérienne habituelle et non pathogène de vertébrés peuvent affecter leur morphologie et leur comportement. Ils éclaircissent également le rôle des bactéries dégradant les plumes dans l'évolution du polymorphisme mélanique chez les oiseaux et suggèrent que ces bactéries peuvent être actives sur des oiseaux vivants. Cette thèse souligne également l'importance du comportement social et sexuel des oiseaux dans l'épidémiologie.

Horizontal, but not vertical, biotic interactions affect fine-scale plant distribution patterns in a low-energy system

Studies of species range determinants have traditionally focused on abiotic variables (typically climatic conditions), and therefore the recent explicit consideration of biotic interactions represents an important advance in the field. While these studies clearly support the role of biotic interactions in shaping species distributions, most examine only the influence of a single species and/or a single interaction, failing to account for species being subject to multiple concurrent interactions. By fitting species distribution models (SDMs), we examine the influence of multiple vertical (i.e., grazing, trampling, and manuring by mammalian herbivores) and horizontal (i.e., competition and facilitation; estimated from the cover of dominant plant species) interspecific interactions on the occurrence and cover of 41 alpine tundra plant species. Adding plant-plant interactions to baseline SDMs (using five field-quantified abiotic variables) significantly improved models' predictive power for independent data, while herbivore-related variables had only a weak influence. Overall, abiotic variables had the strongest individual contributions to the distribution of alpine tundra plants, with the importance of horizontal interaction variables exceeding that of vertical interaction variables. These results were consistent across three modeling techniques, for both species occurrence and cover, demonstrating the pattern to be robust. Thus, the explicit consideration of multiple biotic interactions reveals that plant-plant interactions exert control over the fine-scale distribution of vascular species that is comparable to abiotic drivers and considerably stronger than herbivores in this low-energy system.

Species distributions and interactions in a changing world : from understanding to forecasting

Les écosystèmes fournissent de nombreuses ressources et services écologiques qui sont utiles à la population humaine. La biodiversité est une composante essentielle des écosystèmes et maintient de nombreux services. Afin d'assurer la permanence des services écosystémiques, des mesures doivent être prises pour conserver la biodiversité. Dans ce but, l'acquisition d'informations détaillées sur la distribution de la biodiversité dans l'espace est essentielle. Les modèles de distribution d'espèces (SDMs) sont des modèles empiriques qui mettent en lien des observations de terrain (présences ou absences d'une espèce) avec des descripteurs de l'environnement, selon des courbes de réponses statistiques qui décrive la niche réalisée des espèces. Ces modèles fournissent des projections spatiales indiquant les lieux les plus favorables pour les espèces considérées. Le principal objectif de cette thèse est de fournir des projections plus réalistes de la distribution des espèces et des communautés en montagne pour le climat présent et futur en considérant non-seulement des variables abiotiques mais aussi biotiques. Les régions de montagne et l'écosystème alpin sont très sensibles aux changements globaux et en même temps assurent de nombreux services écosystémiques. Cette thèse est séparée en trois parties : (i) fournir une meilleure compréhension du rôle des interactions biotiques dans la distribution des espèces et l'assemblage des communautés en montagne (ouest des Alpes Suisses), (ii) permettre le développement d'une nouvelle approche pour modéliser la distribution spatiale de la biodiversité, (iii) fournir des projections plus réalistes de la distribution future des espèces ainsi que de la composition des communautés. En me focalisant sur les papillons, bourdons et plantes vasculaires, j'ai détecté des interactions biotiques importantes qui lient les espèces entre elles. J'ai également identifié la signature du filtre de l'environnement sur les communautés en haute altitude confirmant l'utilité des SDMs pour reproduire ce type de processus. A partir de ces études, j'ai contribué à l'amélioration méthodologique des SDMs dans le but de prédire les communautés en incluant les interactions biotiques et également les processus non-déterministes par une approche probabiliste. Cette approche permet de prédire non-seulement la distribution d'espèces individuelles, mais également celle de communautés dans leur entier en empilant les projections (S-SDMs). Finalement, j'ai utilisé cet outil pour prédire la distribution d'espèces et de communautés dans le passé et le futur. En particulier, j'ai modélisé la migration post-glaciaire de Trollius europaeus qui est à l'origine de la structure génétique intra-spécifique chez cette espèce et évalué les risques de perte face au changement climatique. Finalement, j'ai simulé la distribution des communautés de bourdons pour le 21e siècle afin d'évaluer les changements probables dans ce groupe important de pollinisateurs. La diversité fonctionnelle des bourdons va être altérée par la perte d'espèces spécialistes de haute altitude et ceci va influencer la pollinisation des plantes en haute altitude. - Ecosystems provide a multitude of resources and ecological services, which are useful to human. Biodiversity is an essential component of those ecosystems and guarantee many services. To assure the permanence of ecosystem services for future generation, measure should be applied to conserve biodiversity. For this purpose, the acquisition of detailed information on how biodiversity implicated in ecosystem function is distributed in space is essential. Species distribution models (SDMs) are empirical models relating field observations to environmental predictors based on statistically-derived response surfaces that fit the realized niche. These models result in spatial predictions indicating locations of the most suitable environment for the species and may potentially be applied to predict composition of communities and their functional properties. The main objective of this thesis was to provide more accurate projections of species and communities distribution under current and future climate in mountains by considering not solely abiotic but also biotic drivers of species distribution. Mountain areas and alpine ecosystems are considered as particularly sensitive to global changes and are also sources of essential ecosystem services. This thesis had three main goals: (i) a better ecological understanding of biotic interactions and how they shape the distribution of species and communities, (ii) the development of a novel approach to the spatial modeling of biodiversity, that can account for biotic interactions, and (iii) ecologically more realistic projections of future species distributions, of future composition and structure of communities. Focusing on butterfly and bumblebees in interaction with the vegetation, I detected important biotic interactions for species distribution and community composition of both plant and insects along environmental gradients. I identified the signature of environmental filtering processes at high elevation confirming the suitability of SDMs for reproducing patterns of filtering. Using those case-studies, I improved SDMs by incorporating biotic interaction and accounting for non-deterministic processes and uncertainty using a probabilistic based approach. I used improved modeling to forecast the distribution of species through the past and future climate changes. SDMs hindcasting allowed a better understanding of the spatial range dynamic of Trollius europaeus in Europe at the origin of the species intra-specific genetic diversity and identified the risk of loss of this genetic diversity caused by climate change. By simulating the future distribution of all bumblebee species in the western Swiss Alps under nine climate change scenarios for the 21st century, I found that the functional diversity of this pollinator guild will be largely affected by climate change through the loss of high elevation specialists. In turn, this will have important consequences on alpine plant pollination.

Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers.

MRI tractography is the mapping of neural fiber pathways based on diffusion MRI of tissue diffusion anisotropy. Tractography based on diffusion tensor imaging (DTI) cannot directly image multiple fiber orientations within a single voxel. To address this limitation, diffusion spectrum MRI (DSI) and related methods were developed to image complex distributions of intravoxel fiber orientation. Here we demonstrate that tractography based on DSI has the capacity to image crossing fibers in neural tissue. DSI was performed in formalin-fixed brains of adult macaque and in the brains of healthy human subjects. Fiber tract solutions were constructed by a streamline procedure, following directions of maximum diffusion at every point, and analyzed in an interactive visualization environment (TrackVis). We report that DSI tractography accurately shows the known anatomic fiber crossings in optic chiasm, centrum semiovale, and brainstem; fiber intersections in gray matter, including cerebellar folia and the caudate nucleus; and radial fiber architecture in cerebral cortex. In contrast, none of these examples of fiber crossing and complex structure was identified by DTI analysis of the same data sets. These findings indicate that DSI tractography is able to image crossing fibers in neural tissue, an essential step toward non-invasive imaging of connectional neuroanatomy.

Assessment of liver tumor response by high-field (3T) MRI after radiofrequency ablation: Short- and mid-term evolution of diffusion parameters within the ablation zone.

PURPOSE: To compare the apparent diffusion coefficient (ADC) values of malignant liver lesions on diffusion-weighted MRI (DWI) before and after successful radiofrequency ablation (RF ablation). MATERIALS AND METHODS: Thirty-two patients with 43 malignant liver lesions (23/20: metastases/hepatocellular carcinomas (HCC)) underwent liver MRI (3.0T) before (<1month) and after RF ablation (at 1, 3 and 6months) using T2-, gadolinium-enhanced T1- and DWI-weighted MR sequences. Jointly, two radiologists prospectively measured ADCs for each lesion by means of two different regions of interest (ROIs), first including the whole lesion and secondly the area with the visibly most restricted diffusion (MRDA) on ADC map. Changes of ADCs were evaluated with ANOVA and Dunnett tests. RESULTS: Thirty-one patients were successfully treated, while one patient was excluded due to focal recurrence. In metastases (n=22), the ADC in the whole lesion and in MRDA showed an up-and-down evolution. In HCC (n=20), the evolution of ADC was more complex, but with significantly higher values (p=0.013) at 1 and 6months after RF ablation. CONCLUSION: The ADC values of malignant liver lesions successfully treated by RF ablation show a predictable evolution and may help radiologists to monitor tumor response after treatment.

Continuous-time formulation of reaction-diffusion processes on heterogeneous metapopulations

We present the derivation of the continuous-time equations governing the limit dynamics of discrete-time reaction-diffusion processes defined on heterogeneous metapopulations. We show that, when a rigorous time limit is performed, the lack of an epidemic threshold in the spread of infections is not limited to metapopulations with a scale-free architecture, as it has been predicted from dynamical equations in which reaction and diffusion occur sequentially in time