Proteomic profiling of human synovial fluid reveals AKR1C1 as a biomarker of osteoarthritis severity

UDC.coleccionInvestigación
UDC.departamentoFisioterapia, Medicina e Ciencias Biomédicas
UDC.endPage445
UDC.grupoInvGrupo de Investigación en Reumatoloxía e Saúde (GIR-S)
UDC.grupoInvReumatoloxía (INIBIC)
UDC.institutoCentroINIBIC - Instituto de Investigacións Biomédicas de A Coruña
UDC.issue1
UDC.journalTitleJournal of Proteome Research
UDC.startPage437
UDC.volume25
dc.contributor.authorFernández-Puente, Patricia
dc.contributor.authorPaz González, Rocío
dc.contributor.authorCalamia, Valentina
dc.contributor.authorPicchi, Florencia
dc.contributor.authorQuaranta, Patricia
dc.contributor.authorLourido Salas, Lucía María
dc.contributor.authorRiva Mendoza, Selva
dc.contributor.authorLotz, Martin
dc.contributor.authorBlanco García, Francisco J
dc.contributor.authorRuiz-Romero, Cristina
dc.date.accessioned2026-02-05T11:21:57Z
dc.date.available2026-02-05T11:21:57Z
dc.date.issued2025-12-10
dc.description.abstract[Abstract] Pathological changes in the knee joint are reflected in the protein composition of synovial fluid (SF), which is altered in osteoarthritis (OA) and may serve as a source of biomarkers. This study used label-free quantification proteomics to analyze SF protein profiles from individuals with varying grades of cartilage damage and healthy controls. SF samples (n = 61) from healthy knees (grade 0) and OA-affected joints (grades I-IV, Outerbridge score) were analyzed using LC-MS/MS. Feature selection was performed with the Jonckheere-Terpstra nonparametric test. Candidate biomarkers were validated by ELISA in an independent cohort (n = 51), with OA severity graded according to the Kellgren-Lawrence (K/L) scale. Using this approach, nine proteins were significantly differentially expressed between OA and control samples (p < 0.01), showing higher levels in early OA stages compared to moderate and late disease (p < 0.05). Among these, aldo-keto reductase family 1 member C1 (AKR1C1), a protein involved in oxidative stress and autophagy, positively correlated with OA severity in both cohorts. These findings highlight several protein biomarkers with potential utility in early OA diagnosis and monitoring disease progression. Notably, AKR1C1 emerges as a promising diagnostic and prognostic biomarker, warranting further investigation.
dc.description.sponsorshipThis work has been funded by Instituto de Salud Carlo s III (ISCIII) through the projects PI20/00793, PI20/01409, PI22/01155, and PI23/00818, and cofunded by the European Union, and also by the grant RD21/0002/0009 financed by Instituto de Salud Carlos III─European Union─NextGenerationEU─Plan de Recuperación transformación y resiliencia. This study has been also supported by grants IN607A2021/07 and IN607D2020/10 from Xunta de Galicia. The Biomedical Research Networking Center (CIBER) is an initiative from Instituto de Salud Carlos III (ISCIII). VC is supported by RICORS-REI RD21/0002/0009.
dc.identifier.citationFernández-Puente P, Paz-González R, Calamia V, Picchi F, Quaranta P, Lourido L, Riva-Mendoza S, Lotz M, Blanco FJ, Ruiz-Romero C. Proteomic profiling of human synovial fluid reveals AKR1C1 as a biomarker of osteoarthritis severity. J Proteome Res. 2026 Jan 2;25(1):437-445
dc.identifier.doi10.1021/acs.jproteome.5c00844
dc.identifier.issn1535-3893
dc.identifier.urihttps://hdl.handle.net/2183/47254
dc.language.isoeng
dc.publisherAmerican Chemical Society (ACS)
dc.relation.projectIDinfo:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII)/PI20%2F00793/ES/DESARROLLO DE SOLUCIONES INTEGRADAS DE ANALITICA PREDICTIVA PARA PERSONALIZAR LA FARMACOTERAPIA EN PACIENTES CON ARTRITIS REUMATOIDE/
dc.relation.projectIDinfo:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII)/PI20%2F01409/ES/NUEVAS METODOLOGIAS PARA LA ESTRATIFICACION DE PACIENTES ARTROSICOS (OA) MEDIANTE TECNICAS PROTEOMICA, APRENDIZAJE AUTOMATICO Y BIG DATA./
dc.relation.projectIDinfo:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PI22%2F01155/ES/MEDICINA PERSONALIZADA EN LA ARTROSIS: INTELIGENCIA ARTIFICIAL APLICADA AL DIAGNÓSTICO DE OA DE RODILLA RAPIDAMENTE PROGRESIVA/
dc.relation.projectIDXunta de Galicia; IN607A2021/07
dc.relation.projectIDXunta de Galicia; IN607D2020/10
dc.relation.urihttps://doi.org/10.1021/acs.jproteome.5c00844
dc.rightsThis document is the unedited Author’s version of a Submitted Manuscript subsequently accepted for publication in Journal of Proteome Research, copyright © 2025 The Authors, Published by American Chemical Society. To access the final published article, see ACS Articles on Request.
dc.rights.accessRightsopen access
dc.subjectAKR1C1
dc.subjectBiomarkers
dc.subjectOsteoarthritis
dc.subjectProteomics
dc.subjectSeverity
dc.subjectSynovial fluid
dc.titleProteomic profiling of human synovial fluid reveals AKR1C1 as a biomarker of osteoarthritis severity
dc.typejournal article
dc.type.hasVersionAM
dspace.entity.typePublication
relation.isAuthorOfPublicationf357279a-035a-4279-a553-99cfd79bd2bb
relation.isAuthorOfPublication.latestForDiscoveryf357279a-035a-4279-a553-99cfd79bd2bb

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