Immunological mechanisms underlying infectious and chronic lung diseases

Le système respiratoire permet l'échange de gaz entre un organisme et son environnement. Pour fonctionner efficacement, il doit lutter contre les infections tout en maintenant une tolérance aux particules inoffensives. Les cytokines sont des petites protéines qui permettent la communication entre les différentes cellules et jouent un rôle important dans la régulation de l'homéostasie et de l'immunité des surfaces pulmonaires. Une production altérée des cytokines sous-tend beaucoup de maladies du système pulmonaire. Ainsi, la compréhension de la biologie fondamentale des cytokines pourrait contribuer à la mise au point de nouveaux traitements. Dans le cadre de cette thèse, nous avons étudié le rôle de deux cytokines, le TSLP (Thymic stromal lymphopoietin) et l'IL-17 (Interleukin 17) dans les réponses immunitaires bénéfiques et nuisibles en utilisant des modèles précliniques de souris des maladies pulmonaires. L'asthme est une maladie qui est caractérisée par la bronchoconstriction réversible, l'inflammation des voies respiratoires inférieures, l'hyperréactivité bronchique et le remodelage tissulaire. Le type d'inflammation affectant les voies respiratoires et la présence ou non d'allergie permettent d'établir les différents types d'asthme. La TSLP est une cytokine qui est principalement exprimée à des niveaux élevés dans les poumons de patients souffrant d'asthme allergique. En conséquence, la majeure partie de la recherche sur la TSLP a mis l'accent sur le rôle joué par celle- ci dans les réponses négatives conduisant au développement de l'asthme allergique. Dans cette thèse, nous montrons que la TSLP joue aussi un rôle bénéfique dans les réponses immunitaires pulmonaires. Nous avons découvert que la TSLP atténue la grippe en augmentant les réponses des lymphocytes T cytotoxiques contre le virus. Nous avons également étudié la fonction de la TSLP dans l'asthme non allergique. Contrairement à l'asthme allergique, nous avons constaté que la TSLP diminue les réponses inflammatoires dans l'asthme non allergique en réglant la production de l'IL-17, une cytokine qui favorise la maladie. Ainsi, nous démontrons les fonctions pleiotropes de la TSLP dans des contextes spécifiques de la maladie. Nos résultats ont des implications importantes pour le développement de thérapies ciblant la TSLP dans l'asthme. Dans la deuxième partie de la thèse, nous avons étudié les mécanismes pathogéniques qui sous-tendent le développement de la broncho-pneumopathie chronique obstructive (BPCO). La BPCO est une maladie chronique le plus largement associée aux fumeurs. Elle est caractérisée par une limitation progressive et irréversible du débit d'air et la destruction de la structure des poumons. L'augmentation globale de l'incidence de la maladie encourage grandement la compréhension des mécanismes pathogéniques et l'identification de nouvelles cibles thérapeutiques. Nous avons découvert que les micro-organismes trouvés dans les voies respiratoires aggravent la maladie en augmentant la production de l'IL-17. L'IL-17 est une cytokine inflammatoire qui est impliquée dans plusieurs maladies pulmonaires chroniques, dont la BPCO. Dans notre modèle animal de la maladie, nous avons neutralisé 1ÌL-17A en utilisant un anticorps spécifique et observé une reprise de la fonction pulmonaire. Dans cette étude, nous avons identifié 2 axes potentiels pour l'intervention thérapeutique contre la BPCO. Cibler les bactéries dans les voies respiratoires soit par l'utilisation d'antibiotiques ou l'utilisation de thérapies à base immunitaire qui antagonisent l'activité spécifiques de l'IL-17. Dans l'avenir, notre laboratoire va collaborer avec des cliniciens pour acquérir des échantillons humains et tester la pertinence de nos résultats dans la maladie humaine. -- L'interaction avec l'environnement extérieur est vitale pour le fonctionnement du système respiratoire. Par conséquent, ce dernier a adopté une multitude de réseaux effecteurs et régulateurs qui permettent de distinguer les particules inhalées comme «dangereuses» ou «inoffensives» et de réagir en conséquence. L'équilibre entre ces réseaux est essentielle pour lutter contre le «danger» déclenché par une infection ou des dommages, et finalement pour le retour à l'homéostasie. Le milieu de cytokine local contribue de manière significative à la mise au point de ces réponses. Ainsi, la caractérisation du rôle des cytokines dans l'état d'équilibre et la maladie a des implications claires pour les interventions thérapeutiques dans les maladies respiratoires aiguës et chroniques. Cette thèse a porté sur le rôle des cytokines, la lymphopoïétine stromale thymique (TSLP) et TIL-17A dans l'élaboration de réponses immunitaires pulmonaires. La TSLP est principalement produite par les cellules épithéliales et peut cibler une myriade de cellules immunitaires. Bien qu'elle ait été montrée être un puissant inducteur des réponses de type Th2, son rôle dans d'autres contextes inflammatoires est relativement inexploré. Dans le premier projet de cette thèse, nous avons découvert une nouvelle fonction de la TSLP dans l'immunité antivirale contre la grippe, une infection virale. Nous avons constaté que la TSLP a réglementé la réponse neutrophile au début de l'infection, en amplifiant l'immunité adaptative spécifique du virus. Mécaniquement, la TSLP a augmenté l'expression de l'IL-15 et du CD70 sur les cellules dendritiques recrutées dans les poumons suite à l'infection et a renforcé leur capacité de stimuler localement les lymphocytes T CD8+ spécifiques du virus. En outre, nous avons étudié la TSLP dans le cadre de divers phénotypes de l'asthme et également démontré l'impact pléiotropique qu'elle a sur les réponses immunitaires pulmonaires. En accord avec les rapports précédents, nous avons constaté que la TSLP a exacerbé l'inflammation atopique médiée par le Th2. En revanche la TSLP a réduit les réponses de l'IL-17A et l'inflammation neutrophile subséquente dans le modèle non atopique, ainsi que l'exacerbation du modèle atopique provoqué par une infection virale. Nos résultats démontrent une dichotomie dans le rôle de la TSLP dans la pathogenèse de l'asthme et soulignent la nécessité d'envisager plusieurs phénotypes d'asthme pour une évaluation approfondie de son potentiel thérapeutique dans cette maladie. Dans la seconde partie de cette thèse, nous avons caractérisé les mécanismes pathogènes qui sous-tendent la broncho-pneumopathie chronique obstructive (BPCO). La BPCO est une maladie hétérogène définie par une diminution progressive de la fonction pulmonaire. Bien que des déclencheurs environnementaux puissent aggraver la maladie, chez les personnes sensibles une maladie établie peut progresser à travers un cercle inflammatoire auto-entretenu. Nous avons cherché à définir les mécanismes sous-jacents à l'aide d'un modèle murin d'inflammation chronique, qui reproduit les caractéristiques pathologiques de la maladie humaine. Puisqu'ont été associés à la BPCO sévère des changements dans le microbiome des voies respiratoires, nous avons supposé que les signaux dérivés de certains microbes pourraient favoriser des voies inflammatoires chroniques de progression de la maladie. Nous avons observé que, en l'absence d un microbiome, la maladie s'est améliorée tel que démontré par une réduction de l'inflammation des voies respiratoires et une amélioration de la fonction pulmonaire. Cela a été lié spécifiquement à une production réduite d'IL-17A, une cytokine qui a été impliquée dans la maladie humaine. De plus la cinétique de production de 1IL- 17A dépendant du microbiote est corrélé à la sévérité de la maladie. Sur la base de ces données, la neutralisation de l'IL-17A a également eu un effet bénéfique sur l'évolution de la maladie. Le rôle significatif de 1TL-17A dans l'aggravation de la maladie a été couplé à sa capacité à engager un dialogue entre les voies inflammatoires innées et adaptatives. Il a influencé le recrutement et le phénotype des neutrophiles et des macrophages, ce qui a eu un impact direct et indirect sur la formation et la fonction des tissus lymphoïdes tertiaires associée à des stades sévères de la maladie. -- The interaction with the external environment is vital for the functioning of the respiratory system. Consequently, it has adopted a multitude of effector and regulatory networks that enable it to distinguish inhaled particles as 'dangerous' or 'innocuous' and respond accordingly. The balance between these networks is crucial to counteract the 'danger' triggered by infection or damage, and ultimately return to homeostasis. The local cytokine milieu contributes significantly to the fine- tuning of these responses. Thus, characterizing the role of cytokines in steady state and disease has clear implications for therapeutic interventions in acute and chronic respiratory disorders. This thesis focused on the role of the cytokines, thymic stromal lymphopoietin (TSLP) and IL-17A in shaping pulmonary immune responses. TSLP is primarily produced by barrier epithelial cells and can target a myriad of immune cells. Although it has been shown to be potent inducer of Th2 type responses, its role in other inflammatory settings is relatively unexplored. In the first project of this thesis, we discovered a novel function of TSLP in antiviral immunity to Influenza A infection. We found that while TSLP regulated the early neutrophilic response to infection, it amplified virus specific adaptive immunity. Mechanistically, TSLP enhanced the expression of IL-15 and CD70 on the lung recruited inflammatory dendritic cells and strengthened their ability to stimulate virus specific CD8+ T cell responses locally. In addition we investigated TSLP in the context of diverse asthma phenotypes and further demonstrated the pleiotropic impact it has on pulmonary immune responses. In concurrence with previous reports we found that TSLP exacerbated Th2 mediated atopic inflammation. In contrast TSLP curtailed IL-17A responses and subsequent neutrophilic inflammation in the non-atopic model as well as virus induced exacerbation of the atopic model. Our findings demonstrate a dichotomy in the role of TSLP in asthma pathogenesis and emphasize the need to consider multiple asthma phenotypes for a thorough evaluation of its therapeutic potential in this disease. In the next part of this thesis we characterized the pathogenic mechanisms underlying chronic obstructive pulmonary disease. COPD is a heterogeneous disease defined by a progressive decline in lung function. Although environmental triggers exacerbate the disease, in susceptible individuals the established disease can progress through a self-sustained inflammatory circle. We sought to delineate the underlying mechanisms by using a murine model of chronic inflammation, which reproduced key pathological features of the human disease. As changes in the airway microbiome have been linked to severe COPD, we speculated that microbial derived signals could facilitate the establishment of chronic inflammatory pathways that favour disease progression. We found that the absence of a microbiota ameliorated disease, exhibited by a reduction in airway inflammation and an improvement in lung function. This was linked specifically to an impaired production of IL-17A, a cytokine that has been implicated in human disease. Moreover the kinetics of microbiota-dependent IL-17A production correlated with the disease severity. Based on these data targeted neutralization of IL-17A also had a beneficiai effect on the disease outcome. The prominent role played by IL-I7A in driving the disease was coupled to its ability in engaging and mediating cross talk between pathogenic innate and adaptive immune pathways. It influenced the recruitment and phenotype of neutrophils and macrophages, as well as impacted upon the formation and function of tertiary lymphoid tissue associated with severe disease. Thus, temporal and spatial changes in cytokine production, their cellular targets and interaction with the local milieu determine the balance between immunity and pathology in the lung. Collectively our findings provide novel mechanistic insights in the complex role played by cytokines in orchestrating pulmonary immune responses and have clear implications for human disease.

Network governance and the domestic adoption of soft rules

European regulatory networks (ERNs) are in charge of producing and disseminating non-bindings standards, guidelines and recommendations in a number of important domains, such as banking and finance, electricity and gas, telecommunications, and competition regulation. The goal of these soft rules is to promote 'best practices', achieve co-ordination among regulatory authorities and ensure the consistent application of harmonized pro-competition rules across Europe. This contribution examines the domestic adoption of the soft rules developed within the four main ERNs. Different factors are expected to influence the process of domestic adoption: the resources of regulators; the existence of a review panel; and the interdependence of the issues at stake. The empirical analysis supports hypotheses about the relevance of network-level factors: monitoring and public reporting procedures increase the final level of adoption, while soft rules concerning highly interdependent policy areas are adopted earlier.

Crosstalk of Notch with p53 and p63 in cancer growth control.

Understanding the complexity of cancer depends on an elucidation of the underlying regulatory networks, at the cellular and intercellular levels and in their temporal dimension. This Opinion article focuses on the multilevel crosstalk between the Notch pathway and the p53 and p63 pathways. These two coordinated signalling modules are at the interface of external damaging signals and control of stem cell potential and differentiation. Positive or negative reciprocal regulation of the two pathways can vary with cell type and cancer stage. Therefore, selective or combined targeting of the two pathways could improve the efficacy and reduce the toxicity of cancer therapies.

Development and application of computational methodologies in qualitative modeling

La présente thèse s'intitule "Développent et Application des Méthodologies Computationnelles pour la Modélisation Qualitative". Elle comprend tous les différents projets que j'ai entrepris en tant que doctorante. Plutôt qu'une mise en oeuvre systématique d'un cadre défini a priori, cette thèse devrait être considérée comme une exploration des méthodes qui peuvent nous aider à déduire le plan de processus regulatoires et de signalisation. Cette exploration a été mue par des questions biologiques concrètes, plutôt que par des investigations théoriques. Bien que tous les projets aient inclus des systèmes divergents (réseaux régulateurs de gènes du cycle cellulaire, réseaux de signalisation de cellules pulmonaires) ainsi que des organismes (levure à fission, levure bourgeonnante, rat, humain), nos objectifs étaient complémentaires et cohérents. Le projet principal de la thèse est la modélisation du réseau de l'initiation de septation (SIN) du S.pombe. La cytokinèse dans la levure à fission est contrôlée par le SIN, un réseau signalant de protéines kinases qui utilise le corps à pôle-fuseau comme échafaudage. Afin de décrire le comportement qualitatif du système et prédire des comportements mutants inconnus, nous avons décidé d'adopter l'approche de la modélisation booléenne. Dans cette thèse, nous présentons la construction d'un modèle booléen étendu du SIN, comprenant la plupart des composantes et des régulateurs du SIN en tant que noeuds individuels et testable expérimentalement. Ce modèle utilise des niveaux d'activité du CDK comme noeuds de contrôle pour la simulation d'évènements du SIN à différents stades du cycle cellulaire. Ce modèle a été optimisé en utilisant des expériences d'un seul "knock-out" avec des effets phénotypiques connus comme set d'entraînement. Il a permis de prédire correctement un set d'évaluation de "knock-out" doubles. De plus, le modèle a fait des prédictions in silico qui ont été validées in vivo, permettant d'obtenir de nouvelles idées de la régulation et l'organisation hiérarchique du SIN. Un autre projet concernant le cycle cellulaire qui fait partie de cette thèse a été la construction d'un modèle qualitatif et minimal de la réciprocité des cyclines dans la S.cerevisiae. Les protéines Clb dans la levure bourgeonnante présentent une activation et une dégradation caractéristique et séquentielle durant le cycle cellulaire, qu'on appelle communément les vagues des Clbs. Cet évènement est coordonné avec la courbe d'activation inverse du Sic1, qui a un rôle inhibitoire dans le système. Pour l'identification des modèles qualitatifs minimaux qui peuvent expliquer ce phénomène, nous avons sélectionné des expériences bien définies et construit tous les modèles minimaux possibles qui, une fois simulés, reproduisent les résultats attendus. Les modèles ont été filtrés en utilisant des simulations ODE qualitatives et standardisées; seules celles qui reproduisaient le phénotype des vagues ont été gardées. L'ensemble des modèles minimaux peut être utilisé pour suggérer des relations regulatoires entre les molécules participant qui peuvent ensuite être testées expérimentalement. Enfin, durant mon doctorat, j'ai participé au SBV Improver Challenge. Le but était de déduire des réseaux spécifiques à des espèces (humain et rat) en utilisant des données de phosphoprotéines, d'expressions des gènes et des cytokines, ainsi qu'un réseau de référence, qui était mis à disposition comme donnée préalable. Notre solution pour ce concours a pris la troisième place. L'approche utilisée est expliquée en détail dans le dernier chapitre de la thèse. -- The present dissertation is entitled "Development and Application of Computational Methodologies in Qualitative Modeling". It encompasses the diverse projects that were undertaken during my time as a PhD student. Instead of a systematic implementation of a framework defined a priori, this thesis should be considered as an exploration of the methods that can help us infer the blueprint of regulatory and signaling processes. This exploration was driven by concrete biological questions, rather than theoretical investigation. Even though the projects involved divergent systems (gene regulatory networks of cell cycle, signaling networks in lung cells), as well as organisms (fission yeast, budding yeast, rat, human), our goals were complementary and coherent. The main project of the thesis is the modeling of the Septation Initiation Network (SIN) in S.pombe. Cytokinesis in fission yeast is controlled by the SIN, a protein kinase signaling network that uses the spindle pole body as scaffold. In order to describe the qualitative behavior of the system and predict unknown mutant behaviors we decided to adopt a Boolean modeling approach. In this thesis, we report the construction of an extended, Boolean model of the SIN, comprising most SIN components and regulators as individual, experimentally testable nodes. The model uses CDK activity levels as control nodes for the simulation of SIN related events in different stages of the cell cycle. The model was optimized using single knock-out experiments of known phenotypic effect as a training set, and was able to correctly predict a double knock-out test set. Moreover, the model has made in silico predictions that have been validated in vivo, providing new insights into the regulation and hierarchical organization of the SIN. Another cell cycle related project that is part of this thesis was to create a qualitative, minimal model of cyclin interplay in S.cerevisiae. CLB proteins in budding yeast present a characteristic, sequential activation and decay during the cell cycle, commonly referred to as Clb waves. This event is coordinated with the inverse activation curve of Sic1, which has an inhibitory role in the system. To generate minimal qualitative models that can explain this phenomenon, we selected well-defined experiments and constructed all possible minimal models that, when simulated, reproduce the expected results. The models were filtered using standardized qualitative ODE simulations; only the ones reproducing the wave-like phenotype were kept. The set of minimal models can be used to suggest regulatory relations among the participating molecules, which will subsequently be tested experimentally. Finally, during my PhD I participated in the SBV Improver Challenge. The goal was to infer species-specific (human and rat) networks, using phosphoprotein, gene expression and cytokine data and a reference network provided as prior knowledge. Our solution to the challenge was selected as in the final chapter of the thesis.

Genome-wide profiling of the cardiac transcriptome after myocardial infarction identifies novel heart-specific long non-coding RNAs.

AIM: Heart disease is recognized as a consequence of dysregulation of cardiac gene regulatory networks. Previously, unappreciated components of such networks are the long non-coding RNAs (lncRNAs). Their roles in the heart remain to be elucidated. Thus, this study aimed to systematically characterize the cardiac long non-coding transcriptome post-myocardial infarction and to elucidate their potential roles in cardiac homoeostasis. METHODS AND RESULTS: We annotated the mouse transcriptome after myocardial infarction via RNA sequencing and ab initio transcript reconstruction, and integrated genome-wide approaches to associate specific lncRNAs with developmental processes and physiological parameters. Expression of specific lncRNAs strongly correlated with defined parameters of cardiac dimensions and function. Using chromatin maps to infer lncRNA function, we identified many with potential roles in cardiogenesis and pathological remodelling. The vast majority was associated with active cardiac-specific enhancers. Importantly, oligonucleotide-mediated knockdown implicated novel lncRNAs in controlling expression of key regulatory proteins involved in cardiogenesis. Finally, we identified hundreds of human orthologues and demonstrate that particular candidates were differentially modulated in human heart disease. CONCLUSION: These findings reveal hundreds of novel heart-specific lncRNAs with unique regulatory and functional characteristics relevant to maladaptive remodelling, cardiac function and possibly cardiac regeneration. This new class of molecules represents potential therapeutic targets for cardiac disease. Furthermore, their exquisite correlation with cardiac physiology renders them attractive candidate biomarkers to be used in the clinic.

Tissue-Specific Evolution of Protein Coding Genes in Human and Mouse.

Protein-coding genes evolve at different rates, and the influence of different parameters, from gene size to expression level, has been extensively studied. While in yeast gene expression level is the major causal factor of gene evolutionary rate, the situation is more complex in animals. Here we investigate these relations further, especially taking in account gene expression in different organs as well as indirect correlations between parameters. We used RNA-seq data from two large datasets, covering 22 mouse tissues and 27 human tissues. Over all tissues, evolutionary rate only correlates weakly with levels and breadth of expression. The strongest explanatory factors of purifying selection are GC content, expression in many developmental stages, and expression in brain tissues. While the main component of evolutionary rate is purifying selection, we also find tissue-specific patterns for sites under neutral evolution and for positive selection. We observe fast evolution of genes expressed in testis, but also in other tissues, notably liver, which are explained by weak purifying selection rather than by positive selection.

Functional importance of cardiac enhancer-associated noncoding RNAs in heart development and disease.

The key information processing units within gene regulatory networks are enhancers. Enhancer activity is associated with the production of tissue-specific noncoding RNAs, yet the existence of such transcripts during cardiac development has not been established. Using an integrated genomic approach, we demonstrate that fetal cardiac enhancers generate long noncoding RNAs (lncRNAs) during cardiac differentiation and morphogenesis. Enhancer expression correlates with the emergence of active enhancer chromatin states, the initiation of RNA polymerase II at enhancer loci and expression of target genes. Orthologous human sequences are also transcribed in fetal human hearts and cardiac progenitor cells. Through a systematic bioinformatic analysis, we identified and characterized, for the first time, a catalog of lncRNAs that are expressed during embryonic stem cell differentiation into cardiomyocytes and associated with active cardiac enhancer sequences. RNA-sequencing demonstrates that many of these transcripts are polyadenylated, multi-exonic long noncoding RNAs. Moreover, knockdown of two enhancer-associated lncRNAs resulted in the specific downregulation of their predicted target genes. Interestingly, the reactivation of the fetal gene program, a hallmark of the stress response in the adult heart, is accompanied by increased expression of fetal cardiac enhancer transcripts. Altogether, these findings demonstrate that the activity of cardiac enhancers and expression of their target genes are associated with the production of enhancer-derived lncRNAs.

Le coeur des ARN non codants - Un long chemin à découvrir [In the heart of noncoding RNA: a long way to go].

The identification and characterization of long noncoding RNA in a variety of tissues represent major achievements that contribute to our understanding of the molecular mechanisms controlling gene expression. In particular, long noncoding RNA play crucial roles in the epigenetic regulation of the adaptive response to environmental cues via their capacity to target chromatin modifiers to specific locus. In addition, these transcripts have been implicated in controlling splicing, translation and degradation of messenger RNA. Long noncoding RNA have also been shown to act as decoy molecules for microRNA. In the heart, a few long noncoding RNA have been demonstrated to regulate cardiac commitment and differentiation during development. Furthermore, recent findings suggest their involvement as regulators of the pathophysiological response to injury in the adult heart. Their high cellular specificity makes them attractive target molecules for innovative therapies and ideal biomarkers.

Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair.

Menopause timing has a substantial impact on infertility and risk of disease, including breast cancer, but the underlying mechanisms are poorly understood. We report a dual strategy in ∼70,000 women to identify common and low-frequency protein-coding variation associated with age at natural menopause (ANM). We identified 44 regions with common variants, including two regions harboring additional rare missense alleles of large effect. We found enrichment of signals in or near genes involved in delayed puberty, highlighting the first molecular links between the onset and end of reproductive lifespan. Pathway analyses identified major association with DNA damage response (DDR) genes, including the first common coding variant in BRCA1 associated with any complex trait. Mendelian randomization analyses supported a causal effect of later ANM on breast cancer risk (∼6% increase in risk per year; P = 3 × 10(-14)), likely mediated by prolonged sex hormone exposure rather than DDR mechanisms.

Having Your Cake and Eating It, Too: Can Regulatory Agencies Be Both Independent and Accountable?

Independent regulatory agencies (IRAs) were created in various sectors and on different governmental levels to implement liberalization policies. This paper investigates the link between IRAs' independence, which is said to promote regulatory credibility and the use of technical expertise, and their accountability, which is related to the need for controlling and legitimizing independent regulators. The literature on the regulatory state anticipates a positive relation between the independence and accountability of IRAs, but systematic empirical evidence is still lacking. To tackle this question, this paper measures and compares the independence and the accountability of IRAs in three differentially liberalized sectors in Switzerland (telecommunications, electricity and railways). With the application of Social Network Analysis, this piece of research shows that IRAs can be de facto independent and accountable at the same time, but the two features do not necessarily co-evolve in the same direction.

Aging and the lateralization of oscillatory activities related to external and internal motor preparation

Selection of action may rely on external guidance or be motivated internally, engaging partially distinct cerebral networks. With age, there is an increased allocation of sensorimotor processing resources, accompanied by a reduced differentiation between the two networks of action selection. The present study examines the age effects on the motor-related oscillatory patterns related to the preparation of externally and internally guided movements. Thirty-two older and 30 younger adults underwent three delayed motor tasks with S1 as preparatory and S2 as imperative cue: Full, laterality instructed by S1 (external guidance); Free, laterality freely selected (internal guidance); None, laterality instructed by S2 (no preparation). Electroencephalogram (EEG) was recorded using 64 surface electrodes. Motor-Related Amplitude Asymmetries (MRAA), indexing the lateralization of oscillatory activities, were analyzed within the S1-S2 interval in the mu (9-12 Hz) and low beta (15-20 Hz) motor-related frequency bands. Reaction times to S2 were slower in older than younger subjects, and slower in the Free than in the Full condition in older subjects only. In the Full condition, there were significant mu MRAA in both age groups, and significant low beta MRAA only in older adults. The Free condition was associated with large mu MRAA in younger adults and limited low beta MRAA in older adults. In younger subjects, the lateralization of mu activity in both Full and Free conditions indicated effective external and internal motor preparation. In older subjects, external motor preparation was associated with lateralization of low beta in addition with mu activity, compatible with an increase of motor-related resources. In contrast, absence of mu and limited low beta lateralization in internal motor preparation was concomitant with reaction time slowing and suggested less efficient cerebral processes subtending free movement selection in older adults, indicating reduced capacity for internally driven action with age.

KAP1 regulates gene networks controlling T-cell development and responsiveness.

Chromatin remodeling at specific genomic loci controls lymphoid differentiation. Here, we investigated the role played in this process by Kruppel-associated box (KRAB)-associated protein 1 (KAP1), the universal cofactor of KRAB-zinc finger proteins (ZFPs), a tetrapod-restricted family of transcriptional repressors. T-cell-specific Kap1-deleted mice displayed a significant expansion of immature thymocytes, imbalances in CD4(+)/CD8(+) cell ratios, and altered responses to TCR and TGFβ stimulation when compared to littermate KAP1 control mice. Transcriptome and chromatin studies revealed that KAP1 binds T-cell-specific cis-acting regulatory elements marked by the H3K9me3 repressive mark and enriched in Ikaros/NuRD complexes. Also, KAP1 directly controls the expression of several genes involved in TCR and cytokine signaling. Among these, regulation of FoxO1 seems to play a major role in this system. Likely responsible for tethering KAP1 to at least part of its genomic targets, a small number of KRAB-ZFPs are selectively expressed in T-lymphoid cells. These results reveal the so far unsuspected yet important role of KAP1-mediated epigenetic regulation in T-lymphocyte differentiation and activation.

Legitimacy and Accountability of Independent Regulatory Agencies: A Critical Review

This article reviews the literature that deals with the problem of legitimizing regulatory governance, with a special attention to the question of the accountability of independent regulatory agencies. The discussion begins with the presentation of the traditional arguments concerning the democratic deficit of the regulatory state. The positive evaluation of regulatory performance by citizens is presented as an alternative source of legitimacy. It follows the discussion of the existing approaches to make agencies accountable, so as to ensure the procedural legitimacy of regulatory governance. Some insights concerning new forms of accountability are offered in the last section, namely with reference to the establishment and ongoing consolidation of formal and informal networks of regulators.

Stimulus statistics shape oscillations in nonlinear recurrent neural networks.

Rhythmic activity plays a central role in neural computations and brain functions ranging from homeostasis to attention, as well as in neurological and neuropsychiatric disorders. Despite this pervasiveness, little is known about the mechanisms whereby the frequency and power of oscillatory activity are modulated, and how they reflect the inputs received by neurons. Numerous studies have reported input-dependent fluctuations in peak frequency and power (as well as couplings across these features). However, it remains unresolved what mediates these spectral shifts among neural populations. Extending previous findings regarding stochastic nonlinear systems and experimental observations, we provide analytical insights regarding oscillatory responses of neural populations to stimulation from either endogenous or exogenous origins. Using a deceptively simple yet sparse and randomly connected network of neurons, we show how spiking inputs can reliably modulate the peak frequency and power expressed by synchronous neural populations without any changes in circuitry. Our results reveal that a generic, non-nonlinear and input-induced mechanism can robustly mediate these spectral fluctuations, and thus provide a framework in which inputs to the neurons bidirectionally regulate both the frequency and power expressed by synchronous populations. Theoretical and computational analysis of the ensuing spectral fluctuations was found to reflect the underlying dynamics of the input stimuli driving the neurons. Our results provide insights regarding a generic mechanism supporting spectral transitions observed across cortical networks and spanning multiple frequency bands.

Binge eating in binge eating disorder: a break-down of emotion regulatory process?

Current explanatory models for binge eating in binge eating disorder (BED) mostly rely onmodels for bulimianervosa (BN), although research indicates different antecedents for binge eating in BED. This studyinvestigates antecedents and maintaining factors in terms of positive mood, negative mood and tension in asample of 22 women with BED using ecological momentary assessment over a 1-week. Values for negativemood were higher and those for positive mood lower during binge days compared with non-binge days.During binge days, negative mood and tension both strongly and significantly increased and positive moodstrongly and significantly decreased at the first binge episode, followed by a slight though significant, andlonger lasting decrease (negative mood, tension) or increase (positive mood) during a 4-h observation periodfollowing binge eating. Binge eating in BED seems to be triggered by an immediate breakdown of emotionregulation. There are no indications of an accumulation of negative mood triggering binge eating followed byimmediate reinforcing mechanisms in terms of substantial and stable improvement of mood as observed inBN. These differences implicate a further specification of etiological models and could serve as a basis fordeveloping new treatment approaches for BED.