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dc.contributor.authorMacfarlane, Fiona R.
dc.contributor.authorChaplain, Mark A.J.
dc.contributor.authorEftimie, Raluca
dc.date.accessioned2022-05-16T12:31:21Z
dc.date.available2022-05-16T12:31:21Z
dc.date.issued2022-06
dc.identifier.citationMacfarlane , F R , Chaplain , M A J & Eftimie , R 2022 , ' Modelling rheumatoid arthritis : a hybrid modelling framework to describe pannus formation in a small joint ' , ImmunoInformatics , vol. 6 , 100014 . https://doi.org/10.1016/j.immuno.2022.100014en
dc.identifier.issn2667-1190
dc.identifier.otherPURE: 279614865
dc.identifier.otherPURE UUID: b30fb68f-d4cc-43ed-9a56-cc31af52b89e
dc.identifier.otherRIS: urn:0EB5E1D2DB820D7260D4F20C2F90A16C
dc.identifier.otherORCID: /0000-0003-2242-7745/work/113398368
dc.identifier.otherORCID: /0000-0001-5727-2160/work/113398709
dc.identifier.urihttp://hdl.handle.net/10023/25378
dc.description.abstractRheumatoid arthritis (RA) is a chronic inflammatory disorder that causes pain, swelling and stiffness in the joints, and negatively impacts the life of affected patients. The disease does not have a cure yet, as there are still many aspects of this complex disorder that are not fully understood. While mathematical models can shed light on some of these aspects, to date there are few such models that can be used to better understand the disease. As a first step in the mechanistic understanding of RA, in this study we introduce a new hybrid mathematical modelling framework that describes pannus formation in a small proximal interphalangeal (PIP) joint. We perform numerical simulations with this new model, to investigate the impact of different levels of immune cells (macrophages and fibroblasts) on the degradation of bone and cartilage. Since many model parameters are unknown and cannot be estimated due to a lack of experiments, we also perform a sensitivity analysis of model outputs to various model parameters (single parameters or combinations of parameters). Finally, we discuss how our model could be applied to investigate current treatments for RA, for example, methotrexate, TNF-inhibitors or tocilizumab, which can impact different model parameters.
dc.format.extent20
dc.language.isoeng
dc.relation.ispartofImmunoInformaticsen
dc.rightsCopyright © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)en
dc.subjectRheumatoid arthritisen
dc.subjectHybrid modelen
dc.subjectStochasticityen
dc.subjectImmune responseen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQR180 Immunologyen
dc.subjectDASen
dc.subject.lccQA75en
dc.subject.lccQR180en
dc.titleModelling rheumatoid arthritis : a hybrid modelling framework to describe pannus formation in a small jointen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. Applied Mathematicsen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.identifier.doihttps://doi.org/10.1016/j.immuno.2022.100014
dc.description.statusPeer revieweden


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