55,102 research outputs found

    Effect of periodic parametric excitation on an ensemble of force-coupled self-oscillators

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    We report the synchronization behavior in a one-dimensional chain of identical limit cycle oscillators coupled to a mass-spring load via a force relation. We consider the effect of periodic parametric modulation on the final synchronization states of the system. Two types of external parametric excitations are investigated numerically: periodic modulation of the stiffness of the inertial oscillator and periodic excitation of the frequency of the self-oscillatory element. We show that the synchronization scenarios are ruled not only by the choice of parameters of the excitation force but depend on the initial collective state in the ensemble. We give detailed analysis of entrainment behavior for initially homogeneous and inhomogeneous states. Among other results, we describe a regime of partial synchronization. This regime is characterized by the frequency of collective oscillation being entrained to the stimulation frequency but different from the average individual oscillators frequency.Comment: Comments and suggestions are welcom

    Chemokines (CCL3, CCL4, CCL5) inhibit ATP-induced release of IL-1beta by monocytic cells

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    ATP and chemokines are among the first inflammatory mediators that can enter the circulation via damaged blood vessels at the site of injury, leading to an activation of the hostÂ’s immune response. The main function of chemokines is leukocyte mobilization, guiding immune cells towards the injured tissue along a chemotactic concentration gradient. In monocytes, ATP typically triggers inflammasome assembly, a multiprotein complex necessary for the maturation and secretion of IL-1beta. IL-1beta is a potent inflammatory cytokine of innate immunity, essential for pathogen defense. However, excessive IL-1beta may cause life-threatening systemic inflammation. Here, we hypothesize that chemokines control ATP-dependent secretion of monocytic IL-1beta, by engaging a cholinergic signaling pathway. LPS-primed human monocytic U937 cells were treated with chemokines in the presence or absence of nAChR antagonists or iPLA2beta inhibitors and concomitantly stimulated with the P2X7 agonist BzATP. IL-1beta concentration was determined in the cell culture supernatants. Silencing of the chemokine receptor and iPLA2b gene expression was achieved by transfecting cells with the appropriate siRNA. CCL3, CCL4, and CCL5 dose-dependently inhibited BzATP-stimulated release of IL-1beta, whereas CXCL16 was ineffective. The effect of CCL3 was confirmed for primary mononuclear leukocytes. The inhibitory effect of CCL3 was blunted after silencing CCR1 or iPLA2beta gene expression by siRNA and was sensitive to antagonists of nAChRs containing subunits alpha7 and alpha9/alpha10. U937 cells secreted small factors in response to CCL3 that mediated the inhibition of IL-1beta release. We suggest that CCL chemokines inhibit ATP-induced release of IL-1beta from U937 cells by a triple-membrane-passing mechanism involving CCR, iPLA2, release of small mediators, and nAChR subunits alpha7 and alpha9/alpha10. We speculate that whenever chemokines and ATP enter the circulation concomitantly, systemic release of IL-1beta is minimized

    A semiparametric regression model for paired longitudinal outcomes with application in childhood blood pressure development

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    This research examines the simultaneous influences of height and weight on longitudinally measured systolic and diastolic blood pressure in children. Previous studies have shown that both height and weight are positively associated with blood pressure. In children, however, the concurrent increases of height and weight have made it all but impossible to discern the effect of height from that of weight. To better understand these influences, we propose to examine the joint effect of height and weight on blood pressure. Bivariate thin plate spline surfaces are used to accommodate the potentially nonlinear effects as well as the interaction between height and weight. Moreover, we consider a joint model for paired blood pressure measures, that is, systolic and diastolic blood pressure, to account for the underlying correlation between the two measures within the same individual. The bivariate spline surfaces are allowed to vary across different groups of interest. We have developed related model fitting and inference procedures. The proposed method is used to analyze data from a real clinical investigation.Comment: Published in at http://dx.doi.org/10.1214/12-AOAS567 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

    A study of early afterdepolarizations in a model for human ventricular tissue

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    Sudden cardiac death is often caused by cardiac arrhythmias. Recently, special attention has been given to a certain arrhythmogenic condition, the long-QT syndrome, which occurs as a result of genetic mutations or drug toxicity. The underlying mechanisms of arrhythmias, caused by the long-QT syndrome, are not fully understood. However, arrhythmias are often connected to special excitations of cardiac cells, called early afterdepolarizations (EADs), which are depolarizations during the repolarizing phase of the action potential. So far, EADs have been studied mainly in isolated cardiac cells. However, the question on how EADs at the single-cell level can result in fibrillation at the tissue level, especially in human cell models, has not been widely studied yet. In this paper, we study wave patterns that result from single-cell EAD dynamics in a mathematical model for human ventricular cardiac tissue. We induce EADs by modeling experimental conditions which have been shown to evoke EADs at a single-cell level: by an increase of L-type Ca currents and a decrease of the delayed rectifier potassium currents. We show that, at the tissue level and depending on these parameters, three types of abnormal wave patterns emerge. We classify them into two types of spiral fibrillation and one type of oscillatory dynamics. Moreover, we find that the emergent wave patterns can be driven by calcium or sodium currents and we find phase waves in the oscillatory excitation regime. From our simulations we predict that arrhythmias caused by EADs can occur during normal wave propagation and do not require tissue heterogeneities. Experimental verification of our results is possible for experiments at the cell-culture level, where EADs can be induced by an increase of the L-type calcium conductance and by the application of I blockers, and the properties of the emergent patterns can be studied by optical mapping of the voltage and calcium

    A multi-parametric analysis of Trypanosoma cruzi infection: common pathophysiologic patterns beyond extreme heterogeneity of host responses

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    The extreme genetic diversity of the protozoan Trypanosoma cruzi has been proposed to be associated with the clinical outcomes of the disease it provokes: Chagas disease (CD). To address this question, we analysed the similarities and differences in the CD pathophysiogenesis caused by different parasite strains. Using syngeneic mice infected acutely or chronically with 6 distant parasite strains, we integrated simultaneously 66 parameters: parasite tropism (7 parameters), organ and immune responses (local and systemic; 57 parameters), and clinical presentations of CD (2 parameters). While the parasite genetic background consistently impacts most of these parameters, they remain highly variable, as observed in patients, impeding reliable one-dimensional association with phases, strains, and damage. However, multi-dimensional statistics overcame this extreme intra-group variability for each individual parameter and revealed some pathophysiological patterns that accurately allow defining (i) the infection phase, (ii) the infecting parasite strains, and (iii) organ damage type and intensity. Our results demonstrated a greater variability of clinical outcomes and host responses to T. cruzi infection than previously thought, while our multi-parametric analysis defined common pathophysiological patterns linked to clinical outcome of CD, conserved among the genetically diverse infecting strains
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