Exploring the Relationship Between Osteoarthritis and Age with Global Metabolomic Profiling
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Authors
Anselmo, Belle
Franz, Madelyn
Date of Issue
2024
Type
Presentation
Language
en_US
Subject Keywords
Other Titles
Abstract
Age is one of the most prevalent risk factors for osteoarthritis (OA). Prior research has revealed changes in joint tissues within the aging body, including cartilage thinning, a decrease in synovial fluid, increased risk for osteoporosis, and a decrease in bone volume. Factors such as chondrocyte senescence and oxidative stress also change with age and may contribute to OA pathogenesis. Global metabolomic profiling was used to identify metabolic variations in human OA synovial fluid samples below and above the age of 70 to better understand the relationship between age and OA. It was hypothesized that older patients identified with OA would show metabolic profiles that were more distinctly upregulated or downregulated within OA-altered metabolic pathways. Metabolites were extracted from synovial fluid, and identified using LC-MS. The processed data was uploaded into MetaboAnalyst for univariate (fold change) and multivariate (OPLS-DA) statistical analyses. Pathway enrichment analysis was performed on extracted metabolite features from fold change and OPLS-DA to compare age cohorts, as well as all OA samples with healthy samples separately. Across analyses, lysine metabolism was significantly distinct and upregulated within OA patients over 70, and OPLS-DA pathway analysis revealed linoleate metabolism was different between age cohorts. Glutathione, vitamin E, and purine metabolism were also all distinct between age groups. These findings present more specified potential areas for further research to understand how aging processes relate to OA pathogenesis. Clearer understandings of this connection could translate to more tailored treatments based upon age, and more effective preventative measures for OA.