| Abstrakt: |
Introduction: Knee osteoarthritis (OA), which leads to progressive disability, has been associated with metabolic syndrome. Metabolomics emerges as a promising tool for investigation of this connection. The goal of this study was to correlate the metabolic profile of synovial fluid of patients with knee osteoarthritis with clinical factors related to the development of metabolic syndrome (MetS) based on the reanalysis of a patient's database from our previous study. Methods: Patients were divided in two groups: without osteoarthritis, who underwent knee arthroscopy (n = 8; K-L Grade 0) and with knee OA, who underwent total knee arthroplasty surgery (n = 26, K-L Grades 3-4). From a database of synovial fluid metabolomic analysis by nuclear magnetic resonance, clinical data and collected from medical records, including age, sex, height and weight, and fasting blood glucose levels underwent multivariate analysis. Results: Based on the metabolic profile, glycerol was increased in the group of patients with osteoarthritis. However, metabolomics was not able to classify patients into subgroups according to blood glucose ranges, body mass index and by age. Conclusion: In a population with osteoarthritis, metabolic analysis evidences a slightly different profile in the analysis by age and BMI, or age and glycaemia. [ABSTRACT FROM AUTHOR] |
