VARIATIONS OF MALONDIALDEHYDE, HYDROXYNONENAL, ISOPROSTANE AND 8-HYDROXYDEOXYGUANOSINE IN SERUM, SALIVA AND URINE IN INDIVIDUALS WITH AND WITHOUT OSTEOARTHRITIS
DOI:
https://doi.org/10.59058/jaimc.2023.21.3.358Keywords:
Osteoarthritis, MDA, HNE, 8-hydroxyguanosine, isoprostane, lipid peroxidation.Abstract
Background and Objective: Osteoarthritis is a clinical and pathological outcome of a sequence of disorders that ultimately lead to synovial joint structural and functional failure. The aim of this study was to determine the expression of oxidative stress markers like malondialdehyde (MDA), 4- hydroxynonenal (HNE), isoprostane, and 8-hydroxyguanosine in body secretions and mediums like serum, saliva, and urine between patients of OA and non-diseases group. Methods: The calculated sample size is 50. The age of the participants is ranged from 30-39,40-49,50-59, and 60-69 with a mean score of 54.5+/-9.3 years. Our study design is crossed sectional and comparative. In this study, oxidative stress markers in the body fluids of osteoarthritic patients were compared with the control group of 50healthy individuals in same age group. The levels of stress markers were determined by commercially available quantitative ELISAkits. Results: Our findings indicate that the highest levels of these oxidative stress markers were detected in serum, followed by urine. The saliva overall presented lower levels of oxidative stress markers in individuals with and without OA. In addition to this, the detection of MDA in serum samples was found to be the most important tool in the detection of OA. Conclusion: The current study provides an understanding to detect and diagnose the inflammatory markers in the patient's secretions and to treat OAbefore the disease has pronounced progress. It also helps clinicians in decision making to choose most appropriate test for the early detection of OA.Downloads
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Copyright (c) 2023 Zoya Muzaffar, Mehreen Zaidi, Shazia Ramzan, Neelum Bilal, Tania Ahmed Shakoori, Faheeem Hadi, Tahir Maqbool, Muhammad Tahir, Shabana Akhtar (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.