<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><volume>30</volume><submitter>Lucian Smith</submitter><journal>Mathematical medicine and biology : a journal of the IMA</journal><pagination>311-337</pagination><species>Homo sapiens</species><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/MODEL1409250001</full_dataset_link><repository>biostudies-other</repository><additional_accession>23002057</additional_accession><pubmed_authors>Vincent Knight-Schrijver</pubmed_authors><pubmed_authors>Lucian Smith</pubmed_authors></additional><is_claimable>false</is_claimable><name>Baker2013 - Cytokine Mediated Inflammation in Rheumatoid Arthritis - Age Dependent</name><description>&lt;notes xmlns="http://www.sbml.org/sbml/level2/version4">      &lt;body xmlns="http://www.w3.org/1999/xhtml">        &lt;div class="dc:title">Baker2013 - Cytokine Mediated Inflammation inRheumatoid Arthritis - Age Dependant&lt;/div>&lt;div class="dc:description">This model by Baker M. 2013, describesthe interaction between pro and anti-inflammatory cytokinesignalling in rheumatoid arthritis.&lt;br />&lt;br />Using two ordinary differential equations, the first model &lt;a href="http://www.ebi.ac.uk/biomodels-main/anno-model-view.do?mid=BIOMD0000000550">[BIOMD0000000550]&lt;/a>analyses bifurcation and describes different pathological states byaltering inflammatory regulation parameters.&lt;br />The second model &lt;a href="http://www.ebi.ac.uk/biomodels-main/anno-model-view.do?mid=BIOMD0000000549">[BIOMD0000000549]&lt;/a>includes the effect that ageing has on pro-inflammatory signalling,allowing for time-dependant properties and disease progression tobe observed. The author also describes potential dosing forreversal of the disease state.&lt;/div&gt;&lt;div class="dc:bibliographicCitation">  &lt;p>This model is described in the article:&lt;/p>  &lt;div class="bibo:title">    &lt;a href="http://identifiers.org/pubmed/23002057" title="Access to this publication">Mathematical modelling of    cytokine-mediated inflammation in rheumatoid arthritis.&lt;/a>  &lt;/div>  &lt;div class="bibo:authorList">Baker M, Denman-Johnson S, Brook BS,  Gaywood I, Owen MR.&lt;/div>  &lt;div class="bibo:Journal">Math Med Biol 2013 Dec; 30(4):  311-337&lt;/div>  &lt;p>Abstract:&lt;/p>  &lt;div class="bibo:abstract">    &lt;p>Rheumatoid arthritis (RA) is a chronic inflammatory disease    preferentially affecting the joints and leading, if untreated,    to progressive joint damage and disability. Cytokines, a group    of small inducible proteins, which act as intercellular    messengers, are key regulators of the inflammation that    characterizes RA. They can be classified into pro-inflammatory    and anti-inflammatory groups. Numerous cytokines have been    implicated in the regulation of RA with complex up and down    regulatory interactions. This paper considers a two-variable    model for the interactions between pro-inflammatory and    anti-inflammatory cytokines, and demonstrates that mathematical    modelling may be used to investigate the involvement of    cytokines in the disease process. The model displays a range of    possible behaviours, such as bistability and oscillations,    which are strongly reminiscent of the behaviour of RA e.g.    genetic susceptibility and remitting-relapsing disease. We also    show that the dose regimen as well as the dose level are    important factors in RA treatments.&lt;/p>  &lt;/div>&lt;/div>&lt;div class="dc:publisher">  &lt;p>This model is hosted on   &lt;a href="http://www.ebi.ac.uk/biomodels/">BioModels Database&lt;/a>  and identified by:   &lt;a href="http://identifiers.org/biomodels.db/BIOMD0000000549">BIOMD0000000549&lt;/a>.&lt;/p>  &lt;p>To cite BioModels Database, please use:   &lt;a href="http://identifiers.org/pubmed/20587024" title="Latest BioModels Database publication">BioModels Database:  An enhanced, curated and annotated resource for published  quantitative kinetic models&lt;/a>.&lt;/p>&lt;/div>&lt;div class="dc:license">  &lt;p>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   &lt;a href="http://creativecommons.org/publicdomain/zero/1.0/" title="Access to: CC0 1.0 Universal (CC0 1.0), Public Domain Dedication">CC0  Public Domain Dedication&lt;/a> for more information.&lt;/p>&lt;/div>&lt;/body>    &lt;/notes></description><dates><release>2014-09-25T00:00:00Z</release><modification>2025-07-15T10:01:20.225Z</modification><creation>2025-03-29T13:32:23.777Z</creation></dates><accession>MODEL1409250001</accession><cross_references><biomodels___db>BIOMD0000000549</biomodels___db><pubmed>23002057</pubmed><reactome>REACT_75790</reactome><chebi>CHEBI:67079</chebi><mamo>MAMO_0000046</mamo><go>GO:0019221</go><go>GO:0050727</go><pato>PATO:0002104</pato><doid>DOID:7148</doid><taxonomy>9606</taxonomy><fma>FMA:84050</fma><bto>BTO:0001823</bto></cross_references></HashMap>