984 resultados para multiple signals


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Signal transduction systems mediate the response and adaptation of organisms to environmental changes. In prokaryotes, this signal transduction is often done through Two Component Systems (TCS). These TCS are phosphotransfer protein cascades, and in their prototypical form they are composed by a kinase that senses the environmental signals (SK) and by a response regulator (RR) that regulates the cellular response. This basic motif can be modified by the addition of a third protein that interacts either with the SK or the RR in a way that could change the dynamic response of the TCS module. In this work we aim at understanding the effect of such an additional protein (which we call ‘‘third component’’) on the functional properties of a prototypical TCS. To do so we build mathematical models of TCS with alternative designs for their interaction with that third component. These mathematical models are analyzed in order to identify the differences in dynamic behavior inherent to each design, with respect to functionally relevant properties such as sensitivity to changes in either the parameter values or the molecular concentrations, temporal responsiveness, possibility of multiple steady states, or stochastic fluctuations in the system. The differences are then correlated to the physiological requirements that impinge on the functioning of the TCS. This analysis sheds light on both, the dynamic behavior of synthetically designed TCS, and the conditions under which natural selection might favor each of the designs. We find that a third component that modulates SK activity increases the parameter space where a bistable response of the TCS module to signals is possible, if SK is monofunctional, but decreases it when the SK is bifunctional. The presence of a third component that modulates RR activity decreases the parameter space where a bistable response of the TCS module to signals is possible.

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This article introduces a new interface for T-Coffee, a consistency-based multiple sequence alignment program. This interface provides an easy and intuitive access to the most popular functionality of the package. These include the default T-Coffee mode for protein and nucleic acid sequences, the M-Coffee mode that allows combining the output of any other aligners, and template-based modes of T-Coffee that deliver high accuracy alignments while using structural or homology derived templates. These three available template modes are Expresso for the alignment of protein with a known 3D-Structure, R-Coffee to align RNA sequences with conserved secondary structures and PSI-Coffee to accurately align distantly related sequences using homology extension. The new server benefits from recent improvements of the T-Coffee algorithm and can align up to 150 sequences as long as 10 000 residues and is available from both http://www.tcoffee.org and its main mirror http://tcoffee.crg.cat.

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Optimization models in metabolic engineering and systems biology focus typically on optimizing a unique criterion, usually the synthesis rate of a metabolite of interest or the rate of growth. Connectivity and non-linear regulatory effects, however, make it necessary to consider multiple objectives in order to identify useful strategies that balance out different metabolic issues. This is a fundamental aspect, as optimization of maximum yield in a given condition may involve unrealistic values in other key processes. Due to the difficulties associated with detailed non-linear models, analysis using stoichiometric descriptions and linear optimization methods have become rather popular in systems biology. However, despite being useful, these approaches fail in capturing the intrinsic nonlinear nature of the underlying metabolic systems and the regulatory signals involved. Targeting more complex biological systems requires the application of global optimization methods to non-linear representations. In this work we address the multi-objective global optimization of metabolic networks that are described by a special class of models based on the power-law formalism: the generalized mass action (GMA) representation. Our goal is to develop global optimization methods capable of efficiently dealing with several biological criteria simultaneously. In order to overcome the numerical difficulties of dealing with multiple criteria in the optimization, we propose a heuristic approach based on the epsilon constraint method that reduces the computational burden of generating a set of Pareto optimal alternatives, each achieving a unique combination of objectives values. To facilitate the post-optimal analysis of these solutions and narrow down their number prior to being tested in the laboratory, we explore the use of Pareto filters that identify the preferred subset of enzymatic profiles. We demonstrate the usefulness of our approach by means of a case study that optimizes the ethanol production in the fermentation of Saccharomyces cerevisiae.

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BACKGROUND: Diabetes mellitus is a common metabolic disorder characterized by dysfunction of insulin-secreting pancreatic beta-cells. MicroRNAs are important regulators of beta-cell activities. These non-coding RNAs have recently been discovered to exert their effects not only inside the cell producing them but, upon exosome-mediated transfer, also in other recipient cells. This novel communication mode remains unexplored in pancreatic beta-cells. In the present study, the microRNA content of exosomes released by beta-cells in physiological and physiopathological conditions was analyzed and the biological impact of their transfer to recipient cells investigated. RESULTS: Exosomes were isolated from the culture media of MIN6B1 and INS-1 derived 832/13 beta-cell lines and from mice, rat or human islets. Global profiling revealed that the microRNAs released in MIN6B1 exosomes do not simply reflect the content of the cells of origin. Indeed, while a subset of microRNAs was preferentially released in exosomes others were selectively retained in the cells. Moreover, exposure of MIN6B1 cells to inflammatory cytokines changed the release of several microRNAs. The dynamics of microRNA secretion and their potential transfer to recipient cells were next investigated. As a proof-of-concept, we demonstrate that if cel-miR-238, a C. Elegans microRNA not present in mammalian cells, is expressed in MIN6B1 cells a fraction of it is released in exosomes and is transferred to recipient beta-cells. Furthermore, incubation of untreated MIN6B1 or mice islet cells in the presence of microRNA-containing exosomes isolated from the culture media of cytokine-treated MIN6B1 cells triggers apoptosis of recipient cells. In contrast, exosomes originating from cells not exposed to cytokines have no impact on cell survival. Apoptosis induced by exosomes produced by cytokine-treated cells was prevented by down-regulation of the microRNA-mediating silencing protein Ago2 in recipient cells, suggesting that the effect is mediated by the non-coding RNAs. CONCLUSIONS: Taken together, our results suggest that beta-cells secrete microRNAs that can be transferred to neighboring beta-cells. Exposure of donor cells to pathophysiological conditions commonly associated with diabetes modifies the release of microRNAs and affects survival of recipient beta-cells. Our results support the concept that exosomal microRNAs transfer constitutes a novel cell-to-cell communication mechanism regulating the activity of pancreatic beta-cells.

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In this paper we design and develop several filtering strategies for the analysis of data generated by a resonant bar gravitational wave (GW) antenna, with the goal of assessing the presence (or absence) therein of long-duration monochromatic GW signals, as well as the eventual amplitude and frequency of the signals, within the sensitivity band of the detector. Such signals are most likely generated in the fast rotation of slightly asymmetric spinning stars. We develop practical procedures, together with a study of their statistical properties, which will provide us with useful information on the performance of each technique. The selection of candidate events will then be established according to threshold-crossing probabilities, based on the Neyman-Pearson criterion. In particular, it will be shown that our approach, based on phase estimation, presents a better signal-to-noise ratio than does pure spectral analysis, the most common approach.

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BACKGROUND: GNbAC1 is an immunoglobulin (IgG4) humanised monoclonal antibody against multiple sclerosis-associated retrovirus (MSRV)-Env, a protein of endogenous retroviral origin, expressed in multiple sclerosis (MS) lesions, which is pro-inflammatory and inhibits oligodendrocyte precursor cell differentiation. OBJECTIVE: This is a randomised, double-blind placebo-controlled dose-escalation study followed by a six-month open-label phase to test GNbAC1 in MS patients. The primary objective was to assess GNbAC1 safety in MS patients, and the other objectives were pharmacokinetic and pharmacodynamic assessments. METHODS: Ten MS patients were randomised into two cohorts to receive a single intravenous infusion of GNbAC1/placebo at doses of 2 or 6 mg/kg. Then all patients received five infusions of GNbAC1 at 2 or 6 mg/kg at four-week intervals in an open-label setting. Safety, brain magnetic resonance imaging (MRI), pharmacokinetics, immunogenicity, cytokines and MSRV RNA expression were studied. RESULTS: All patients completed the study. GNbAC1 was well tolerated in all patients. GNbAC1 pharmacokinetics is dose-linear with mean elimination half-life of 27-37 d. Anti-GNbAC1 antibodies were not detected. Cytokine analysis did not indicate an adverse effect. MSRV-transcripts showed a decline after the start of treatment. Nine patients had stable brain lesions at MRI. CONCLUSION: The safety, pharmacokinetic profile, and pharmacodynamic responses to GNbAC1 are favourable in MS patients over a six-month treatment period.

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Geophysical tomography captures the spatial distribution of the underlying geophysical property at a relatively high resolution, but the tomographic images tend to be blurred representations of reality and generally fail to reproduce sharp interfaces. Such models may cause significant bias when taken as a basis for predictive flow and transport modeling and are unsuitable for uncertainty assessment. We present a methodology in which tomograms are used to condition multiple-point statistics (MPS) simulations. A large set of geologically reasonable facies realizations and their corresponding synthetically calculated cross-hole radar tomograms are used as a training image. The training image is scanned with a direct sampling algorithm for patterns in the conditioning tomogram, while accounting for the spatially varying resolution of the tomograms. In a post-processing step, only those conditional simulations that predicted the radar traveltimes within the expected data error levels are accepted. The methodology is demonstrated on a two-facies example featuring channels and an aquifer analog of alluvial sedimentary structures with five facies. For both cases, MPS simulations exhibit the sharp interfaces and the geological patterns found in the training image. Compared to unconditioned MPS simulations, the uncertainty in transport predictions is markedly decreased for simulations conditioned to tomograms. As an improvement to other approaches relying on classical smoothness-constrained geophysical tomography, the proposed method allows for: (1) reproduction of sharp interfaces, (2) incorporation of realistic geological constraints and (3) generation of multiple realizations that enables uncertainty assessment.

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Anthropogenic disturbance of wildlife is of growing conservation concern, but we lack comprehensive approaches of its multiple negative effects. We investigated several effects of disturbance by winter outdoor sports on free-ranging alpine Black Grouse by simultaneously measuring their physiological and behavioral responses. We experimentally flushed radio-tagged Black Grouse from their snow burrows, once a day, during several successive days, and quantified their stress hormone levels (corticosterone metabolites in feces [FCM] collected from individual snow burrows). We also measured feeding time allocation (activity budgets reconstructed from radio-emitted signals) in response to anthropogenic disturbance. Finally, we estimated the related extra energy expenditure that may be incurred: based on activity budgets, energy expenditure was modeled from measures of metabolism obtained from captive birds subjected to different ambient temperatures. The pattern of FCM excretion indicated the existence of a funneling effect as predicted by the allostatic theory of stress: initial stress hormone concentrations showed a wide inter-individual variation, which decreased during experimental flushing. Individuals with low initial pre-flushing FCM values augmented their concentration, while individuals with high initial FCM values lowered it. Experimental disturbance resulted in an extension of feeding duration during the following evening foraging bout, confirming the prediction that Black Grouse must compensate for the extra energy expenditure elicited by human disturbance. Birds with low initial baseline FCM concentrations were those that spent more time foraging. These FCM excretion and foraging patterns suggest that birds with high initial FCM concentrations might have been experiencing a situation of allostatic overload. The energetic model provides quantitative estimates of extra energy expenditure. A longer exposure to ambient temperatures outside the shelter of snow burrows, following disturbance, could increase the daily energy expenditure by >10%, depending principally on ambient temperature and duration of exposure. This study confirms the predictions of allostatic theory and, to the best of our knowledge, constitutes the first demonstration of a funneling effect. It further establishes that winter recreation activities incur costly allostatic behavioral and energetic adjustments, which call for the creation of winter refuge areas together with the implementation of visitor-steering measures for sensitive wildlife.

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Neuronal networks in vitro are prominent systems to study the development of connections in living neuronal networks and the interplay between connectivity, activity and function. These cultured networks show a rich spontaneous activity that evolves concurrently with the connectivity of the underlying network. In this work we monitor the development of neuronal cultures, and record their activity using calcium fluorescence imaging. We use spectral analysis to characterize global dynamical and structural traits of the neuronal cultures. We first observe that the power spectrum can be used as a signature of the state of the network, for instance when inhibition is active or silent, as well as a measure of the network's connectivity strength. Second, the power spectrum identifies prominent developmental changes in the network such as GABAA switch. And third, the analysis of the spatial distribution of the spectral density, in experiments with a controlled disintegration of the network through CNQX, an AMPA-glutamate receptor antagonist in excitatory neurons, reveals the existence of communities of strongly connected, highly active neurons that display synchronous oscillations. Our work illustrates the interest of spectral analysis for the study of in vitro networks, and its potential use as a network-state indicator, for instance to compare healthy and diseased neuronal networks.

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In der heutigen Welt sind die Reputation und das Image eines Landes als wichtige Faktoren für den wirtschaftlichen und politischen Erfolg angesehen. Jedoch ist die Pflege der Marke eines Landes komplex und führt zu zwei Positionen, die sich potentiell widersprechen: Einerseits kann ein positives Erscheinungsbild eines Landes durch aktive Massnahmen gefördert werden. Andererseits ist es schwierig, das Bild eines Landes abzugrenzen und es ist mit Klischees behaftet. Dieser Beitrag analysiert die Auswirkungen von zwei grösseren Krisen auf das Image der Schweiz in den Vereinigten Staaten: die Krise um die nachrichtenlosen Vermögen aus der Zeit des 2. Weltkriegs im Jahr 2000 sowie die Krise um die UBS und das Bankgeheimnis im Jahr 2009. Die Studie zeigt, dass das Erscheinungsbild der Schweiz unberührt blieb, obwohl ein beachtlicher Teil der Bevölkerung und der Meinungsführer von beiden Krisen wusste. Dies stützt die Hypothese, dass das Image eines Landes eine hohe Beständigkeit aufweist. In today's world, country's reputation and image have become key issues, widely believed to be success factors both economically and politically. Nevertheless, managing a country's brand is complex and leads to two positions that are potentially contradictory: On the one hand, a country's image can be influenced either by promotional activities. On the other hand, a country's image is a construct that is very difficult to delimit and is highly stereotyped. This contribution study the impact of two major crises on the image of Switzerland in the United States: the unclaimed wartime deposits crisis in 2000 and the UBS and banking secrecy crisis in 2009. It shows that despite the fact that a substantial proportion of the public and of opinion leaders was aware of both crises, the image of Switzerland was unaffected, which tends to support the hypothesis of strong stability of a country's image.

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La sclérose en plaques (SEP) est une maladie démyélinisante du système nerveux central (SNC) provoquant des pertes motrices, sensitives et cognitives. La SEP se déclare chez le jeune adulte ayant des prédispositions génétiques, mais semble induite, par des facteurs environnementaux. La SEP touche principalement les femmes et sa prévalence dans les zones à haut risque, tel que la Suisse, est de 0.1%. Bien que son étiologie exacte reste méconnue, nous savons que la maladie est médiée par des lymphocytes T autoréactifs périphériques, qui infiltrent le SNC où ils activent d'autres cellules immunitaires ainsi que les cellules du SNC elles-mêmes, créant un foyer inflammatoire, qui va attaquer et finir par tuer les oligodendrocytes et les neurones. Les épisodes inflammatoires sont entrecoupés par des phases de rémission associées à une guérison partielle des lésions. Cette première phase de la maladie, comprenant des épisodes inflammatoires et de rémissions est appelé SEP récurrente-rémittente (SEP-RR) et touche 90% des patients. Elle évolue, dans deux-tiers des cas, vers une SEP secondaire progressive (SEP-SP), qui est caractérisée par une progression constante de la maladie, associée à une réduction de l'inflammation mais une augmentation de la neurodégénérescence. Les patients souffrants de SEP primaire progressive (SEP-PP) développent directement les symptômes de la phase progressive de la maladie. Les thérapies disponibles ont considérablement amélioré l'évolution de la maladie des patients SEP-RR, en agissant sur une diminution de la réponse immunitaire et donc de l'inflammation. Cependant, ces traitements sont inefficaces chez les patients SEP-SP et SEP-PP, n'agissant pas sur la neurodégénérescence. IL-22, une cytokine sécrétée notoirement par les cellules Th17, a été associée à la SEP en contribuant à la perméabilisation de la barrière hémato-encéphalique et à l'inflammation du SNC, qui sont des étapes clés de la pathogenèse de la maladie. En outre, le gène codant pour un inhibiteur puissant d'IL- 22, 'IL-22 binding protein' (IL-22BP), a été démontré comme un facteur de risque de la SEP. Ces indices nous ont poussés à nous intéresser de plus près au rôle de l'IL-22 dans la SEP. Nous avons pu montrer qu'IL-22 et IL-22BP étaient augmentées dans le sang des patients SEP par rapport à des sujets sains. Nous avons trouvé qu'IL-22 cible spécifiquement les astrocytes dans le SNC et que son récepteur est particulièrement exprimé dans les lésions des patient SEP. Contre toute attente, nous avons pu montrer que l'IL-22 semble soutenir la survie des astrocytes. Cette découverte, suggérant qu'IL-22 serait protecteur pour le SNC et pour la SEP, confirme de récentes publications et ouvre la voie à de potentielles applications thérapeutiques. En parallèle, dans le but de mieux comprendre l'immunopathogenèse de la SEP, nous avons développé les techniques de culture de cellules souches pluripotentes induites (iPSC). Nos iPSC sont dérivées du sang des donneurs et acquièrent toutes les propriétés des cellules souches embryonnaires après induction. Les iPSC peuvent ensuite être différenciées en différents types de cellules, dont les cellules du SNC. Nous avons ainsi pu obtenir avec succès des neurones, dérivés de cellules du sang, en passant par le stade des iPSC. La prochaine étape consiste à générer des cultures d'astrocytes et d'oligodendrocytes et ainsi obtenir les principales cellules du SNC, le but étant de former de véritables 'cerveaux-en-culture'. Cet outil semble particulièrement adapté à l'étude de l'activité de diverses molécules sur les cellules du SNC, comme par exemple l'IL-22 et d'autres molécules ayant un potentiel intérêt thérapeutique au niveau du SNC. Le but ultime étant de développer des co-cultures de cellules du SNC avec des cellules immunitaires autologues, de patients SEP et de sujets sains, afin de mettre en évidence l'attaque des cellules du SNC par des leucocytes autoréactifs. Ce projet prospectif a permis d'accroître nos connaissance sur des aspects immunitaires de la SEP et à pour but de mieux comprendre l'immunopathogenèse de la SEP afin d'élaborer de nouvelles stratégies thérapeutiques. -- La sclérose en plaques est une maladie auto-inflammatoire du système nerveux central conduisant à la destruction de la myéline, indispensable à la conduction nerveuse, et finalement à la mort des neurones eux-mêmes. Cela a pour conséquence des pertes motrices, sensorielles et cognitives, qui ont tendance à s'aggraver au fil de la maladie. Elle se déclare chez le jeune adulte, entre l'âge de 20 et 40 ans, et prédomine chez la femme. En Suisse, environ une personne sur l'OOO est atteinte de sclérose en plaques. Les causes exactes de cette maladie, qui incluent des facteurs génétiques et environnementaux, sont encore mal connues. Des traitements de plus en plus efficaces ont été développés ces dernières années et ont permis de drastiquement améliorer l'évolution de la maladie chez les patients atteints de sclérose en plaques. Cependant, ces traitements ne sont efficaces que sur certaines catégories de patients et peuvent engendrer de lourds effets secondaires. Ces thérapies agissent presque exclusivement sur les cellules du système immunitaire en les désactivant partiellement, mais pas sur les cellules nerveuses, qui sont pourtant celles qui conditionnent le devenir du patient. Le développement de médicaments protégeant ou permettant la régénération des cellules du système nerveux central est donc primordial. L'étude de l'interleukine-22 nous a permis de montrer que cette cytokine ('hormone' du système immunitaire) pouvait cibler spécifiquement les astrocytes, des cellules gliales qui jouent un rôle central dans le maintien de l'équilibre du système nerveux central. Nos recherches ont montré que cette interleukine-22 permettrait une meilleure survie des astrocytes durant la phase aiguë de la maladie et aurait aussi des propriétés neuroprotectrices. En parallèle, nous sommes en train de développer un nouveau modèle in vitro d'étude de la sclérose en plaques grâce à la technologie des cellules souches pluripotentes induites. Ces cellules souches sont induites à partir de cellules du sang du donneur et acquièrent toutes les caractéristiques des cellules souches embryonnaires présentes dans un organisme en formation. Ainsi, ces cellules souches pluripotentes ont, par exemple, la capacité de se différencier en cellules du système nerveux central. Nous avons pu, de cette manière, obtenir des neurones. Le but ultime serait de pouvoir reconstituer une ébauche de cerveau in vitro, en cultivant ensemble différents types de cellules du système nerveux central, afin d'y réaliser des expériences avec des cellules immunitaires du même donneur. Ces travaux ont pour but d'améliorer notre compréhension de la pathogenèse de la sclérose en plaques et de permettre le développement de nouvelles stratégies thérapeutiques. --Multiple sclerosis (MS) is a demyelinating disease of the central nervous system leading to cognitive, sensitive and motor disabilities. MS occurs in genetically predisposed young adults with probable environmental triggers. MS affects predominantly women and its prevalence in high risk area such as Switzerland is 0.1%. Though its exact aetiology remains undetermined, we know that autoreactive T cells from de periphery are reactivated and recruited into the central nervous system (CNS) were they further activate other immune cells and resident cells, creating inflammatory foci, where oligodendrocytes and neurons are insulted and, eventually, killed. Inflammatory episodes, called relapses, are interspersed with remission phases where partial recovery of the lesions occurs. This first phase of the disease, occurring in 90% of the patients, is called relapsing-remitting MS (RR-MS) and is leading, in two-third of the cases, to secondary-progressive MS (SP-MS), where there is a continuous steady progression of the disease, associated with reduced inflammation but increased neurodegeneration. Primary-progressive MS (PP-MS) patients experience directly this progressive phase of the disease. Whereas disease modifying therapies have dramatically ameliorated the disease course of RR-MS patients by dampening immunity and, in turn, inflammation, treatments of SP-MS and PP-MS patients, who suffer primarily from the neurodegenerative aspect of the disease, are still inexistent. IL-22, a pro-inflammatory Th17 cell cytokine, has been associated with MS by participating to blood-brain barrier infiltration and CNS inflammation, which are crucial steps in MS pathogenesis. In addition, the gene coding for IL-22 binding protein (IL-22BP), which is a potent secreted IL-22 inhibitor, has been associated with MS risk. These findings call for further investigation on the role of IL-22 in MS. We detected increased IL-22 and IL-22BP in the blood of MS patients as compared to healthy controls. Acting exclusively on cells of nonhematopoietic origin, we found that IL-22 targets specifically astrocytes in the CNS and that its receptor is highly expressed in the lesion of MS patients. Unexpectedly, we found that IL-22 seems to promote survival of astrocytes. This finding, suggesting that IL-22 might be protective for the CNS in the context of MS, is consistent with recent publications and might open putative therapeutic applications at the CNS level. In parallel, with the aim of better understanding the immunopathogenesis of MS, we developed induced pluripotent stem cell (iPSC) techniques. IPSC are derived from blood cells of the donors and bear embryonic stem cell properties. IPSC can be differentiated into various cell types including CNS cells. We successfully obtained neurons derived from the donor blood cells, through iPSC. We further aim at developing astrocytes and oligodendrocytes cultures to recreate a 'brain-in-a-dish'. This would be a powerful tool to test the activity of various compounds on CNS cells, including IL-22 and other putative neuroprotective drugs. Ultimately, the goal is to develop co-cultures of CNS cells with autologous immune cells of MS patients as well as healthy controls to try to expose evidence of CNS cells targeted by autoreactive leukocytes. This prospective project has increased our knowledge of immune aspects of MS and further aims at better understanding the immunopathology of MS in order to pave the way to the elaboration of new therapeutic strategies.

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Alfred Schütz original contribution to the social sciences refers to his analysis of the structure of the "life-world". This article aims to invigorate interest in the work of this author, little known in the field of health psychology. Key concepts of Schütz' approach will be presented in relation to their potential interest to the understanding of the experience of illness. In particular, we develop the main characteristics of the everyday life and its cognitive style, that is, its finite province of meaning. We propose to adopt this notion to define the experience of chronic or serious illness when the individual is confronted to the medical world. By articulating this analysis with literature in health psychology, we argue that Schütz's perspective brings useful insight to the field, namely because of its ability to study meaning constructions by overcoming the trap of solipsism by embracing intersubjectivity. The article concludes by outlining both, the limitations and research perspectives brought by this phenomenological analysis of the experiences of health and illness.

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We annually monitored the abundance and size structure of herbivorous sea urchin populations (Paracentrotus lividus and Arbacia lixula) inside and outside a marine reserve in the Northwestern Mediterranean on two distinct habitats (boulders and vertical walls) over a period of 20 years, with the aim of analyzing changes at different temporal scales in relation to biotic and abiotic drivers. P. lividus exhibited significant variability in density over time on boulder bottoms but not on vertical walls, and temporal trends were not significantly different between the protection levels. Differences in densities were caused primarily by variance in recruitment, which was less pronounced inside the MPA and was correlated with adult density, indicating density-dependent recruitment under high predation pressure, as well as some positive feedback mechanisms that may facilitate higher urchin abundances despite higher predator abundance. Populations within the reserve were less variable in abundance and did not exhibit the hyper-abundances observed outside the reserve, suggesting that predation effects maybe more subtle than simply lowering the numbers of urchins in reserves. A. lixula densities were an order of magnitude lower than P. lividus densities and varied within sites and over time on boulder bottoms but did not differ between protection levels. In December 2008, an exceptionally violent storm reduced sea urchin densities drastically (by 50% to 80%) on boulder substrates, resulting in the lowest values observed over the entire study period, which remained at that level for at least two years (up to the present). Our results also showed great variability in the biological and physical processes acting at different temporal scales. This study highlights the need for appropriate temporal scales for studies to fully understand ecosystem functioning, the concepts of which are fundamental to successful conservation and management.