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Proctor2013 - Cartilage breakdown, interventions to reduce collagen release

ABSTRACT: Proctor2013 - Cartilage breakdown, interventions to reduce collagen release The molecular pathways involved in cartilage breakdown is studied using this model to examine possible interventions to reduce cartilage collagen release. The model contains three separate submodels, one which describes the IL-1/JNK signalling pathway, secondly the OSM/STAT3 signalling pathway, and lastly a module which includes proMMP (Matrix matalloproteinase) activation, and aggrecan and collagen release. This model is described in the article: A computer simulation approach for assessing therapeutic intervention points to prevent cytokine-induced cartilage breakdown. Proctor CJ, Macdonald C, Milner JM, Rowan AD, Cawston TE. Arthritis Rheum. 2013 Nov 27. Abstract: Objective. To use a novel computational approach to examine the molecular pathways involved in cartilage breakdown and to use computer simulation to test possible interventions to reduce collagen release. Methods. We constructed a computational model of the relevant molecular pathways using the Systems Biology Markup Language (SBML), a computer-readable format of a biochemical network. The model was constructed using our experimental data showing that interleukin-1 (IL-1) and oncostatin M (OSM) act synergistically to up-regulate collagenase protein and activity and initiate cartilage collagen breakdown. Simulations were performed in the COPASI software package. Results. The model predicted that simulated inhibition of c-Jun N-terminal kinase (JNK) or p38 mitogen-activated protein kinase, and over-expression of tissue inhibitor of metalloproteinases 3 (TIMP-3) led to a reduction in collagen release. Over-expression of TIMP-1 was much less effective than TIMP-3 and led to a delay, rather than a reduction, in collagen release. Simulated interventions of receptor antagonists and inhibition of Janus kinase 1 (JAK1), the first kinase in the OSM pathway, were ineffective. So, importantly, the model predicts that it is more effective to intervene at targets which are downstream, such as the JNK pathway, rather than close to the cytokine signal. In vitro experiments confirmed the effectiveness of JNK inhibition. Conclusion. Our study shows the value of computer modelling as a tool for examining possible interventions to reduce cartilage collagen breakdown. The model predicts interventions that either prevent transcription or inhibit activity of collagenases are promising strategies and should be investigated further in an experimental setting. © 2013 American College of Rheumatology. This model is hosted on BioModels Database and identified by: BIOMD0000000504 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

DISEASE(S): Cartilage Disease

SUBMITTER: Carole Proctor

PROVIDER: BIOMD0000000504 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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Project description:Hui2014 - Age-related changes in articular cartilage This model is described in the article: Oxidative changes and signalling pathways are pivotal in initiating age-related changes in articular cartilage Wang Hui1, David A Young1, Andrew D Rowan1, Xin Xu2, Tim E Cawston1, Carole J Proctor1,3 Annals of the Rheumatic Diseases Abstract: Objective: To use a computational approach to investigate the cellular and extracellular matrix changes that occur with age in the knee joints of mice. Methods: Knee joints from an inbred C57/BL1/6 (ICRFa) mouse colony were harvested at 3–30?months of age. Sections were stained with H&E, Safranin-O, Picro-sirius red and antibodies to matrix metalloproteinase-13 (MMP-13), nitrotyrosine, LC-3B, Bcl-2, and cleaved type II collagen used for immunohistochemistry. Based on this and other data from the literature, a computer simulation model was built using the Systems Biology Markup Language using an iterative approach of data analysis and modelling. Individual parameters were subsequently altered to assess their effect on the model. Results: A progressive loss of cartilage matrix occurred with age. Nitrotyrosine, MMP-13 and anaplastic lymphoma kinase (ALK1) staining in cartilage increased with age with a concomitant decrease in LC-3B and Bcl-2. Stochastic simulations from the computational model showed a good agreement with these data, once transforming growth factor-? signalling via ALK1/ALK5 receptors was included. Oxidative stress and the interleukin 1 pathway were identified as key factors in driving the cartilage breakdown associated with ageing. Conclusions: A progressive loss of cartilage matrix and cellularity occurs with age. This is accompanied with increased levels of oxidative stress, apoptosis and MMP-13 and a decrease in chondrocyte autophagy. These changes explain the marked predisposition of joints to develop osteoarthritis with age. Computational modelling provides useful insights into the underlying mechanisms involved in age-related changes in musculoskeletal tissues. This model is hosted on BioModels Database and identified by: BIOMD0000000560. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Mechanical Stimuli are arguably the most important aetiolgical factors in osteoarthritis (OA) development. Not only do we see disease arising from joints where the cartilage has sustained direct (e.g. intraarticular fracture) or indirect (e.g. meniscal injury) trauma, but mechanical factors are considered, at least partly, to explain the disease associations with aging and obesity. It is now well established that OA is not simply due to repeated wear and tear, leading to attrition of the articular surfaces, but that it requires activation of a number of inflammatory genes, which drive catabolic protease activity in the joint. These enzymes lead to breakdown of the major extracellular matrix components of cartilage, namely type II collagen, and the proteoglycan, aggrecan. Although it is unclear precisely which enzymes are responsible for matrix breakdown in human OA, Glasson et al showed that deletion of the aggrecan degrading enzyme, ADAMTS5 substantially protected the joint from surgically induced murine OA suggesting that it is a major aggrecanase in the mouse. This study was part of a wider study using the surgical model of murine OA, induced by destabilising the medial meniscus (DMM), to confirm the dependence of joint loading on disease progression and to reveal mechanosensitive genes within the joint which may be involved in the development of OA. Using this model we, and others, have shown that there is a robust degradation of articular cartilage over 4-12wks in male C57B/6 mice. We identified the gene response in joints early following induction of OA, prior to cartilage degradation, by extracting RNA from whole joints (after skin and muscle had been removed) 6hrs, 3 days and 7 days following sham and DMM surgery. An Affymetrix ST1 gene array was performed. Significantly regulated genes (>1.4 fold above naive and sham samples at any timepoint), or those considered to have a putative role in OA pathogenesis were selected for quantitative validation using Taqman low density microfluidic card arrays (TLDA). Gene expression in whole knee joints at 3 early time points post DMM surgery (before cartilage loss), 6hrs, 3days and 7days was examined. Two controls were identified, the first control consisted of age matched naïve mice that had undergone 15 minutes of anaesthesia but were not operated on (0hrs post surgery). The second control included mice which had undergone sham surgery (capsulotomy alone). For this RNA was taken at the same time points post surgery as DMM samples (6hrs, 3days and 7days). There were three biological replicates per condition (total of 21 samples). The right (ipsilateral) knee joint was taken and RNA extracted and processed for microarray analysis using the Affymetrix Mouse Gene 1.0 st v1 platform.

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Proctor2013 - Cartilage breakdown, interventions to reduce collagen release

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