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dc.contributor.authorRocha Loureda, Beatriz
dc.contributor.authorIlliano, Anna
dc.contributor.authorCalamia, Valentina
dc.contributor.authorPinto, Gabriella
dc.contributor.authorAmoresano, Angela
dc.contributor.authorRuiz-Romero, Cristina
dc.contributor.authorBlanco García, Francisco J
dc.date.accessioned2022-02-25T13:18:27Z
dc.date.available2022-02-25T13:18:27Z
dc.date.issued2021-10-20
dc.identifier.citationRocha B, Illiano A, Calamia V, Pinto G, Amoresano A, Ruiz-Romero C, et al. Targeted phospholipidomic analysis of synovial fluid as a tool for osteoarthritis deep phenotyping. Osteoarthr Cartil Open. 2021;3(4):100219. https://doi.org/10.1016/j.ocarto.2021.100219es_ES
dc.identifier.issn2665-9131
dc.identifier.urihttp://hdl.handle.net/2183/29848
dc.description.abstract[Abstract] Objective. The aim of this study was to carry out a targeted phospholipidomic analysis on synovial fluid (SF) from patients with different grades of osteoarthritis (OA) and controls, in order to search for specific phospholipid profiles that may be useful for the deep phenotyping of this disease. Design. Multiple reaction monitoring-mass spectrometry (MRM/MS) was applied to explore the potential phospholipidomic differences in the SF of knee OA patients (n ​= ​15) (subclassified into early- and late-stage OA) and non-OA controls (n ​= ​4). Multivariate statistical analyses conducted by partial least squares discriminant analysis (PLS-DA) and hierarchical clustering analysis (HCA) were performed to identify significantly altered phospholipids in OA, characterize phospholipidomic profiles associated with the radiographic stage of the disease and describe potential endotypes at early stages. Results. Significant discrimination of phospholipid profiles between non-OA controls and the early- and late-stage OA groups were found by PLS-DA and HCA. Compared to SF from non-OA controls, OA patients showed higher levels of most quantified phospholipid species, including phosphatidylcholines (PC), phosphatidylserines and phosphatidylinositols. Furthermore, several PC species showed significant differences in abundance between the two OA subgroups and were negatively correlated with cartilage damage. Finally, two distinct endotypes of early-stage OA were identified based on the phospholipidomic profile of SF. Conclusions. Our data provides a novel insight into the phospholipid profiles of OA synovial fluid, revealing specific alterations associated with the radiographic stage of the disease. This targeted phospholipidomic profiling also facilitated the characterization of two different OA endotypes at early stages of the disease.es_ES
dc.description.sponsorshipThis work is supported by grants from Fondo Investigación Sanitaria-Spain (PI16/02124, PI17/00404, PI19/01206, PI20/00793 and RETIC-RIER-RD16/0012/0002), integrated in the National Plan for Scientific Program, Development and Technological Innovation 2013–2016 and funded by the ISCIII-General Subdirection of Assessment and Promotion of Research - European Regional Development Fund (FEDER) “A way of making Europe”. This study is also supported by AE CICA-INIBIC (ED431E 2018/03) and grants IN607A 2017/11, IN607A 2021/7 and IN607D 2020/10 from Axencia Galega de Innovacion - Xunta de Galicia. The Biomedical Research Networking Center (CIBER) is an initiative from Instituto de Salud Carlos III (ISCIII). The Proteomics Unit of GIR belongs to ProteoRed, PRB3- ISCIII (PT17/0019/0014)es_ES
dc.description.sponsorshipXunta de Galicia; ED431E 2018/03es_ES
dc.description.sponsorshipXunta de Galicia; IN607A 2017/11es_ES
dc.description.sponsorshipXunta de Galicia; IN607A 2021/7es_ES
dc.description.sponsorshipXunta de Galicia; IN607D 2020/10es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PI16%2F02124/ES/Determinación de índices predictivos de diagnóstico y pronóstico de artrosis de rodilla mediante la validación de biomarcadores proteicos/
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PI17%2F00404/ES/Identificación y validación de biomarcadores circulantes predictivos de respuesta a estrategias de terapia biológica en pacientes con artritis reumatoide (BIO-RESTER)/
dc.relationinfo:eu-repo/grantAgreement/MICINN/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PI19%2F01206/ES/VALIDACIÓN CLÍNICA DE NUEVOS BIOMARCADORES PREDICTIVOS DE DIAGNÓSTICO Y PRONÓSTICO EN ARTROSIS: EL PROYECTO HPP/
dc.relationinfo:eu-repo/grantAgreement/MICINN/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PI20%2F00793/ES/Desarrollo de soluciones integradas de analítica predictiva para personalizar la farmacoterapia en pacientes con artritis reumatoide/
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RD16%2F0012%2F0002/ES/Red de Investigación en Inflamación y Enfermedades Reumáticas (RIER)/
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/PT17%2F0019%2F0014/ES/
dc.relation.urihttps://doi.org/10.1016/j.ocarto.2021.100219es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectOsteoarthritises_ES
dc.subjectSynovial fluides_ES
dc.subjectTargeted lipidomic analysises_ES
dc.subjectPhospholipidses_ES
dc.subjectPhenotypinges_ES
dc.titleTargeted Phospholipidomic Analysis of Synovial Fluid as a Tool for Osteoarthritis Deep Phenotypinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleOsteoarthritis and Cartilage Openes_ES
UDC.volume3es_ES
UDC.issue4es_ES
UDC.startPage100219es_ES
dc.identifier.doi10.1016/j.ocarto.2021.100219


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