Oscillations in the immune system

Stark, Jaroslav; Chan, Cliburn; George, Andrew J.T.

doi:10.1111/j.1600-065x.2007.00501.x

Cited by 62 publications

(32 citation statements)

References 144 publications

(233 reference statements)

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“…Noteworthily, the information-carrying signals are frequently dynamical, since oscillations in cell physiology are ubiquitous [37], and in many cases clearly periodic, driven for instance by regular biological rhythms such as those generated by circadian clocks [29], [38]. The remaining signals may constitute a source of background activity, or chatter, that is bound to affect the cellÕs response to the relevant inputs.…”

Section: Discussionmentioning

confidence: 99%

Information Routing Driven by Background Chatter in a Signaling Network

et al. 2011

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Living systems are capable of processing multiple sources of information simultaneously. This is true even at the cellular level, where not only coexisting signals stimulate the cell, but also the presence of fluctuating conditions is significant. When information is received by a cell signaling network via one specific input, the existence of other stimuli can provide a background activity –or chatter– that may affect signal transmission through the network and, therefore, the response of the cell. Here we study the modulation of information processing by chatter in the signaling network of a human cell, specifically, in a Boolean model of the signal transduction network of a fibroblast. We observe that the level of external chatter shapes the response of the system to information carrying signals in a nontrivial manner, modulates the activity levels of the network outputs, and effectively determines the paths of information flow. Our results show that the interactions and node dynamics, far from being random, confer versatility to the signaling network and allow transitions between different information-processing scenarios.

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Section: Discussionmentioning

confidence: 99%

Information Routing Driven by Background Chatter in a Signaling Network

et al. 2011

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“…Similarly, this group has discovered numerous materials that influence the amplitude or frequency of calcium and/or metabolic oscillations. These include fMLP, immune complexes, IFNγ, TNFα, and others [55,56]. It is important to note that specific agents regulate specific aspects of the oscillatory phenomena.…”

Section: Limits Of the T Cell Centered Hypothesismentioning

confidence: 99%

Neutrophils: the forgotten cell in JIA disease pathogenesis

et al. 2007

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Juvenile idiopathic arthritis (JIA) has long been assumed to be an autoimmune disease, triggered by aberrant recognition of "self" antigens by T-cells. However, systems biology approaches to this family of diseases have suggested complex interactions between innate and adaptive immunity that underlie JIA. In particular, new data suggest an important role for neutrophils in JIA pathogenesis. In this short review, we will discuss the new data that support a role for neutrophils in JIA, discuss regulatory functions that link neutrophils to adaptive immune responses, and discuss future areas of investigation. Above all else, we invite the reader to re-consider the use of the term "autoimmunity" as applied to the family of illnesses we collectively call JIA.

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“…This relationship suggests a predator-prey-like interaction between the immune system and the tissue, which has been reported in many other diseases [21]. After the dramatic increase of the immune cells and the initial peak of damage in the first 4–8 weeks, the immune cells decrease; muscle degeneration and regeneration cycles are suppressed but continue at low levels.…”

Section: The Mathematical Modelmentioning

confidence: 54%

A Mathematical Model of Skeletal Muscle Disease and Immune Response in themdxMouse

Jarrah

Castiglione

Evans

et al. 2014

BioMed Research International

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Duchenne muscular dystrophy (DMD) is a genetic disease that results in the death of affected boys by early adulthood. The genetic defect responsible for DMD has been known for over 25 years, yet at present there is neither cure nor effective treatment for DMD. During early disease onset, the mdx mouse has been validated as an animal model for DMD and use of this model has led to valuable but incomplete insights into the disease process. For example, immune cells are thought to be responsible for a significant portion of muscle cell death in the mdx mouse; however, the role and time course of the immune response in the dystrophic process have not been well described. In this paper we constructed a simple mathematical model to investigate the role of the immune response in muscle degeneration and subsequent regeneration in the mdx mouse model of Duchenne muscular dystrophy. Our model suggests that the immune response contributes substantially to the muscle degeneration and regeneration processes. Furthermore, the analysis of the model predicts that the immune system response oscillates throughout the life of the mice, and the damaged fibers are never completely cleared.

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Oscillations in the immune system

Cited by 62 publications

References 144 publications

Information Routing Driven by Background Chatter in a Signaling Network

Information Routing Driven by Background Chatter in a Signaling Network

Neutrophils: the forgotten cell in JIA disease pathogenesis

A Mathematical Model of Skeletal Muscle Disease and Immune Response in themdxMouse

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