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dc.contributor.authorEskelinen, Atte SA
dc.contributor.authorTanska, Petri
dc.contributor.authorFlorea, Cristina
dc.contributor.authorOrozco, Gustavo A
dc.contributor.authorJulkunen, Petro
dc.contributor.authorGrodzinsky, Alan J
dc.contributor.authorKorhonen, Rami K
dc.date.accessioned2022-01-18T16:27:05Z
dc.date.available2021-10-27T19:53:20Z
dc.date.available2022-01-18T16:27:05Z
dc.date.issued2020-06
dc.date.submitted2020-02
dc.identifier.issn1553-734X
dc.identifier.issn1553-7358
dc.identifier.urihttps://hdl.handle.net/1721.1/133523.2
dc.description.abstract© 2020 Eskelinen et al. Post-traumatic osteoarthritis (PTOA) is associated with cartilage degradation, ultimately leading to disability and decrease of quality of life. Two key mechanisms have been suggested to occur in PTOA: Tissue inflammation and abnormal biomechanical loading. Both mechanisms have been suggested to result in loss of cartilage proteoglycans, the source of tissue fixed charge density (FCD). In order to predict the simultaneous effect of these degrading mechanisms on FCD content, a computational model has been developed. We simulated spatial and temporal changes of FCD content in injured cartilage using a novel finite element model that incorporates (1) diffusion of the pro-inflammatory cytokine interleukin-1 into tissue, and (2) the effect of excessive levels of shear strain near chondral defects during physiologically relevant loading. Cytokine-induced biochemical cartilage explant degradation occurs near the sides, top, and lesion, consistent with the literature. In turn, biomechanically-driven FCD loss is predicted near the lesion, in accordance with experimental findings: Regions near lesions showed significantly more FCD depletion compared to regions away from lesions (p<0.01). Combined biochemical and biomechanical degradation is found near the free surfaces and especially near the lesion, and the corresponding bulk FCD loss agrees with experiments. We suggest that the presence of lesions plays a role in cytokine diffusion-driven degradation, and also predisposes cartilage for further biomechanical degradation. Models considering both these cartilage degradation pathways concomitantly are promising in silico tools for predicting disease progression, recognizing lesions at high risk, simulating treatments, and ultimately optimizing treatments to postpone the development of PTOA.en_US
dc.language.isoen
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/JOURNAL.PCBI.1007998en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleMechanobiological model for simulation of injured cartilage degradation via pro-inflammatory cytokines and mechanical stimulusen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.relation.journalPLoS Computational Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-09-03T13:11:27Z
dspace.orderedauthorsEskelinen, ASA; Tanska, P; Florea, C; Orozco, GA; Julkunen, P; Grodzinsky, AJ; Korhonen, RKen_US
dspace.date.submission2021-09-03T13:11:29Z
mit.journal.volume16en_US
mit.journal.issue6en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work Neededen_US


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