| dc.contributor.author | Zhang, Lihai | |
| dc.contributor.author | Smith, David W. | |
| dc.contributor.author | Gardiner, Bruce S. | |
| dc.contributor.author | Grodzinsky, Alan J. | |
| dc.date.accessioned | 2013-09-13T17:28:48Z | |
| dc.date.available | 2013-09-13T17:28:48Z | |
| dc.date.issued | 2013-06 | |
| dc.date.submitted | 2012-12 | |
| dc.identifier.issn | 1932-6203 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/80730 | |
| dc.description.abstract | IGF signaling is involved in cell proliferation, differentiation and apoptosis in a wide range of tissues, both normal and diseased, and so IGF-IR has been the focus of intense interest as a promising drug target. In this computational study on cartilage, we focus on two questions: (i) what are the key factors influencing IGF-IR complex formation, and (ii) how might cells regulate IGF-IR complex formation? We develop a reaction-diffusion computational model of the IGF system involving twenty three parameters. A series of parametric and sensitivity studies are used to identify the key factors influencing IGF signaling. From the model we predict the free IGF and IGF-IR complex concentrations throughout the tissue. We estimate the degradation half-lives of free IGF-I and IGFBPs in normal cartilage to be 20 and 100 mins respectively, and conclude that regulation of the IGF half-life, either directly or indirectly via extracellular matrix IGF-BP protease concentrations, are two critical factors governing the IGF-IR complex formation in the cartilage. Further we find that cellular regulation of IGF-II production, the IGF-IIR concentration and its clearance rate, all significantly influence IGF signaling. It is likely that negative feedback processes via regulation of these factors tune IGF signaling within a tissue, which may help explain the recent failures of single target drug therapies aimed at modifying IGF signaling. | en_US |
| dc.description.sponsorship | National Health and Medical Research Council (Australia) (APP1051455) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | Public Library of Science | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1371/journal.pone.0066870 | en_US |
| dc.rights | Creative Commons Attribution | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by/2.5/ | en_US |
| dc.source | PLoS | en_US |
| dc.title | Modeling the Insulin-Like Growth Factor System in Articular Cartilage | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Zhang, Lihai, David W. Smith, Bruce S. Gardiner, and Alan J. Grodzinsky. “Modeling the Insulin-Like Growth Factor System in Articular Cartilage.” Edited by Amina Ann Qutub. PLoS ONE 8, no. 6 (June 26, 2013): e66870. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Center for Biomedical Engineering | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Mechanical Engineering | en_US |
| dc.contributor.mitauthor | Grodzinsky, Alan J. | en_US |
| dc.relation.journal | PLoS ONE | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Zhang, Lihai; Smith, David W.; Gardiner, Bruce S.; Grodzinsky, Alan J. | en_US |
| dc.identifier.orcid | https://orcid.org/0000-0002-4942-3456 | |
| mit.license | PUBLISHER_CC | en_US |
| mit.metadata.status | Complete | |