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dc.creatorDestouni A., Tsolis K.C., Economou A., Papathanasiou I., Balis C., Mourmoura E., Tsezou A.en
dc.date.accessioned2023-01-31T07:54:06Z
dc.date.available2023-01-31T07:54:06Z
dc.date.issued2021
dc.identifier10.1080/14789450.2021.1962299
dc.identifier.issn14789450
dc.identifier.urihttp://hdl.handle.net/11615/73238
dc.description.abstractBackground: Knee osteoarthritis (OA) is one of the most common structural OA disorders globally. Incomplete understanding of the fundamental biological aspects of osteoarthritis underlies the current lack of effective treatment or disease modifying drugs. Research Design and Methods: We implemented a systems approach by making use of the statistical network concepts in Weighted Gene Co-expression Analysis to reconstruct the organization of the core proteome network in chondrocytes obtained from OA patients and healthy individuals. Protein modules reflect groups of tightly co-ordinated changes in protein abundance across healthy and OA chondrocytes. Results: The unbiased systems analysis identified extracellular matrix (ECM) mechanosensing and glycolysis as two modules that are most highly correlated with ΟΑ. The ECM module was enriched in the OA genetic risk factors tenascin-C (TNC) and collagen 11A1 (COL11A1), as well as in cartilage oligomeric matrix protein (COMP), a biomarker associated with cartilage integrity. Mapping proteins that are unique to OA or healthy chondrocytes onto the core interactome, which connects microenvironment sensing and regulation of glycolysis, identified differences in metabolic and anti-inflammatory adaptation. Conclusion: The interconnection between cartilage ECM remodeling and metabolism is indicative of the dynamic chondrocyte states and their significance in osteoarthritis. © 2021 Informa UK Limited, trading as Taylor & Francis Group.en
dc.language.isoenen
dc.sourceExpert Review of Proteomicsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85112339834&doi=10.1080%2f14789450.2021.1962299&partnerID=40&md5=b168f691f3eecd54d470c48deeaf2541
dc.subjectbiological markeren
dc.subjectcartilage oligomeric matrix proteinen
dc.subjectcollagen type 11en
dc.subjectglyceraldehyde 3 phosphate dehydrogenaseen
dc.subjectlactate dehydrogenase Aen
dc.subjectproteomeen
dc.subjecttenascinen
dc.subjecttriosephosphate isomeraseen
dc.subjectadulten
dc.subjectArticleen
dc.subjectarticular cartilageen
dc.subjectbody weighten
dc.subjectcell adhesionen
dc.subjectchondrocyteen
dc.subjectcontrolled studyen
dc.subjectextracellular matrixen
dc.subjectgene expressionen
dc.subjectgenetic risken
dc.subjectglucose metabolismen
dc.subjectglycolysisen
dc.subjecthierarchical clusteringen
dc.subjecthumanen
dc.subjecthuman cellen
dc.subjectknee replacementen
dc.subjectmajor clinical studyen
dc.subjectmechanosensingen
dc.subjectmechanotransductionen
dc.subjectmicroenvironmenten
dc.subjectnetwork analysisen
dc.subjectosteoarthritisen
dc.subjectoverrepresentation analysisen
dc.subjectpolyacrylamide gel electrophoresisen
dc.subjectpredictive valueen
dc.subjectprotein interactionen
dc.subjectprotein synthesisen
dc.subjectproteomicsen
dc.subjectreal time polymerase chain reactionen
dc.subjectsystem analysisen
dc.subjectcell cultureen
dc.subjectextracellular matrixen
dc.subjectosteoarthritisen
dc.subjectCells, Cultureden
dc.subjectChondrocytesen
dc.subjectExtracellular Matrixen
dc.subjectHumansen
dc.subjectOsteoarthritisen
dc.subjectTaylor and Francis Ltd.en
dc.titleChondrocyte protein co-synthesis network analysis links ECM mechanosensing to metabolic adaptation in osteoarthritisen
dc.typejournalArticleen


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