Correlation of primary knee osteoarthritis severity with the lipid peroxidation biomarker (MDA) in synovial fluid: A pilot study
Keywords:Knee osteoarthritis; Malondialdehyde; Synovial fluid; Oxidative stress.
Introduction: Osteoarthritis (OA) is progressive, degenerative disease that leads to joint pain, tenderness, stiffness, locking, effusion, reduced motion, swelling, crepitus, and disability. The pain in OA is the most significant clinical feature and impacts function, mobility, quality of life, and reason for medical advice. Methods: A hospital-based cross-sectional study was conducted on patients attending the Outpatient Department of Orthopedics. A total of 50 individuals with primary knee osteoarthritis in the age range of 45-90 years were chosen at random for the research (26 females and 24 males). The American College of Rheumatology's Diagnostic criteria were employed to diagnose osteoarthritis, and a visual analogue scale was utilized to score the severity of pain. Knee OA was graded using the Kellgren-Lawrence (K-L) radiographic assessment method. The MDA levels in the synovial fluid of all 50 individuals were measured by using the Thiobarbituric acid technique. The severity of knee OA was compared to oxidative stress measures and synovial fluid MDA levels in order to determine if there was a link between oxidative stress-induced damage and disease development. Results: Grades 1, 2, 3, and 4 have MDA values of 3.9±0.4, 4.3±0.5, 5.4±0.2 and 5.96±0.2, respectively, in synovial fluid. MDA mean levels in synovial fluid increased with the severity of knee osteoarthritis (K-L grading), which was statistically significant (p.001). Conclusions: Kellgren-Lawrence grading and synovial MDA had a favourable connection. In osteoarthritis patients, free radical-induced lipid peroxidation was high, as evaluated by synovial fluid MDA concentration, and it increased with the severity of osteoarthritis. It suggests that oxidative stress is important in the etiopathogenesis of OA and that synovial MDA could be employed as a biomarker to determine the severity of the illness.
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Copyright (c) 2022 Jyoti Shukla, Pankaj Sharma, Sangishetti Vijay Prasad, Sumita Sharma, Nita Garg
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