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research-article
Author(s):
Bing Liu 1 , 2 ,
Jing Zhang 2 , 3 ,
Pei Yi Tan 3 ,
David Hsu 1 ,
Anna M. Blom 4 ,
Benjamin Leong 5 ,
Sunil Sethi 6 ,
Bow Ho 7 ,
Jeak Ling Ding 3 , 8 ,
P. S. Thiagarajan 1 , *
Publication date (Electronic): 20 January 2011
Journal: PLoS Computational Biology
Publisher: Public Library of Science
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The complement system is key to innate immunity and its activation is necessary for the clearance of bacteria and apoptotic cells. However, insufficient or excessive complement activation will lead to immune-related diseases. It is so far unknown how the complement activity is up- or down- regulated and what the associated pathophysiological mechanisms are. To quantitatively understand the modulatory mechanisms of the complement system, we built a computational model involving the enhancement and suppression mechanisms that regulate complement activity. Our model consists of a large system of Ordinary Differential Equations (ODEs) accompanied by a dynamic Bayesian network as a probabilistic approximation of the ODE dynamics. Applying Bayesian inference techniques, this approximation was used to perform parameter estimation and sensitivity analysis. Our combined computational and experimental study showed that the antimicrobial response is sensitive to changes in pH and calcium levels, which determines the strength of the crosstalk between CRP and L-ficolin. Our study also revealed differential regulatory effects of C4BP. While C4BP delays but does not decrease the classical complement activation, it attenuates but does not significantly delay the lectin pathway activation. We also found that the major inhibitory role of C4BP is to facilitate the decay of C3 convertase. In summary, the present work elucidates the regulatory mechanisms of the complement system and demonstrates how the bio-pathway machinery maintains the balance between activation and inhibition. The insights we have gained could contribute to the development of therapies targeting the complement system. The complement system, which is the frontline immune defense, constitutes proteins that flow freely in the blood. It quickly detects invading microbes and alerts the host by sending signals into immune responsive cells to eliminate the hostile substances. Inadequate or excessive complement activities harm the host and may lead to immune-related diseases. Thus, it is crucial to understand how the host boosts the complement activity to protect itself and simultaneously establishes tight surveillance to attain homeostasis. Towards this goal, we developed a detailed computational model of the human complement system. To overcome the challenges resulting from the large model size, we applied probabilistic approximation and inference techniques to train the model on experimental data and explored the key network features of the model. Our model-based study highlights the importance of infection-mediated microenvironmental perturbations, which alter the pH and calcium levels. It also reveals that the inhibitor, C4BP induces differential inhibition on the classical and lectin complement pathways and acts mainly by facilitating the decay of the C3 convertase. These predictions were validated empirically. Thus, our results help to elucidate the regulatory mechanisms of the complement system and potentially contribute to the development of complement-based immunomodulation therapies. Abstract
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Most cited references49
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Complement. Second of two parts.
M J Walport (2001)
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The pivotal role of the complement system in aging and age-related macular degeneration: hypothesis re-visited.
Don H Anderson, Monte Radeke, Natasha Gallo … (2010)
During the past ten years, dramatic advances have been made in unraveling the biological bases of age-related macular degeneration (AMD), the most common cause of irreversible blindness in western populations. In that timeframe, two distinct lines of evidence emerged which implicated chronic local inflammation and activation of the complement cascade in AMD pathogenesis. First, a number of complement system proteins, complement activators, and complement regulatory proteins were identified as molecular constituents of drusen, the hallmark extracellular deposits associated with early AMD. Subsequently, genetic studies revealed highly significant statistical associations between AMD and variants of several complement pathway-associated genes including: Complement factor H (CFH), complement factor H-related 1 and 3 (CFHR1 and CFHR3), complement factor B (CFB), complement component 2 (C2), and complement component 3 (C3). In this article, we revisit our original hypothesis that chronic local inflammatory and immune-mediated events at the level of Bruch's membrane play critical roles in drusen biogenesis and, by extension, in the pathobiology of AMD. Secondly, we report the results of a new screening for additional AMD-associated polymorphisms in a battery of 63 complement-related genes. Third, we identify and characterize the local complement system in the RPE-choroid complex - thus adding a new dimension of biological complexity to the role of the complement system in ocular aging and AMD. Finally, we evaluate the most salient, recent evidence that bears directly on the role of complement in AMD pathogenesis and progression. Collectively, these recent findings strongly re-affirm the importance of the complement system in AMD. They lay the groundwork for further studies that may lead to the identification of a transcriptional disease signature of AMD, and hasten the development of new therapeutic approaches that will restore the complement-modulating activity that appears to be compromised in genetically susceptible individuals. Copyright 2009 Elsevier Ltd. All rights reserved.
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C-reactive protein: ligands, receptors and role in inflammation.
Lorraine Marnell, Carolyn Mold, Terry W Du Clos (2005)
C-reactive protein (CRP) is the prototypical acute phase serum protein, rising rapidly in response to inflammation. CRP binds to phosphocholine (PC) and related molecules on microorganisms and plays an important role in host defense. However, a more important role may be the binding of CRP to PC in damaged membranes. CRP increases clearance of apoptotic cells, binds to nuclear antigens and by masking autoantigens from the immune system or enhancing their clearance, CRP may prevent autoimmunity. CRP binds to both the stimulatory receptors, FcgammaRI and FcgammaRIIa, increasing phagocytosis and the release of inflammatory cytokines; and to the inhibitory receptor, FcgammaRIIb, blocking activating signals. We have shown that, in two animal models of systemic lupus erythematosus (SLE), the (NZB x NZW)F1 mouse and the MRL/lpr mouse, a single injection of CRP before onset of proteinuria delayed disease development and late treatment reversed proteinuria. Thus, in these models, CRP plays an anti-inflammatory role.
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Author and article information
Contributors
: Role: Editor
Journal
Journal ID (nlm-ta): PLoS Comput Biol
Journal ID (publisher-id): plos
Journal ID (pmc): ploscomp
Title: PLoS Computational Biology
Publisher: Public Library of Science (San Francisco, USA )
ISSN (Print): 1553-734X
ISSN (Electronic): 1553-7358
Publication date Collection: January 2011
Publication date (Print): January 2011
Publication date (Electronic): 20 January 2011
Volume: 7
Issue: 1
Electronic Location Identifier: e1001059
Affiliations
[2 ]NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore
[3 ]Department of Biological Sciences, National University of Singapore, National University of Singapore, Singapore
Author notes
* E-mail: thiagu@ 123456comp.nus.edu.sg
Article
Publisher ID: 10-PLCB-RA-2360R2
DOI: 10.1371/journal.pcbi.1001059
PMC ID: 3024260
PubMed ID: 21283780
SO-VID: 409e3582-9741-4e7d-b135-7a2305c5fce3
Copyright © Liu et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
History
Date received : 24 June 2010
Date accepted : 17 December 2010
Page count
Pages: 16
Categories
Subject: Research Article
Subject: Computational Biology/Systems Biology
Subject: Immunology/Innate Immunity
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