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    Targeted Phospholipidomic Analysis of Synovial Fluid as a Tool for Osteoarthritis Deep Phenotyping

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    [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.This 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)Xunta de Galicia; ED431E 2018/03Xunta de Galicia; IN607A 2017/11Xunta de Galicia; IN607A 2021/7Xunta de Galicia; IN607D 2020/1
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