Applying Global Metabolomics to Investigate the Correlation Between BMI and Osteoarthritis
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Authors
Payne, McKenna
Mozer, Aiden
Date of Issue
2022
Type
Presentation
Language
en_US
Subject Keywords
Other Titles
Abstract
Osteoarthritis (OA) is a degenerative joint disease characterized by the progressive breakdown of articular cartilage. One of the significant and modifiable risk factors for developing OA is obesity. There is still much to learn about the cellular mechanisms of OA, and diagnosis is limited to identifying structural damage within the joint. New studies in the field of metabolomics have shown promise in identifying biomarkers that could lead to early diagnosis, monitoring of the disease, and understanding of the pathophysiology of OA. In this research study, synovial fluid (SF) samples were analyzed through global metabolomics to study the effects of body mass index (BMI) on the development of osteoarthritis. The samples were collected from a local clinic in Helena, and metabolites will be extracted from the samples. Extracted metabolites will be analyzed through liquid chromatography coupled to mass spectroscopy (LC-MS) in order to assign mass values to each individual metabolite. Statistical and functional analyses will be performed to identify metabolic trends in order to elucidate the relationship between BMI and OA to better understand BMI as a risk factor for developing OA.