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ABSTRACT: Objective
To identify endotypes of osteoarthritis (OA) by a metabolomics analysis.Methods
Study participants included hip/knee OA patients and controls. Fasting plasma samples were metabolomically profiled. Common factor analysis and K-means clustering were applied to the metabolomics data to identify the endotypes of OA patients. Logistic regression was utilized to identify the most significant metabolites contributing to the endotypes. Clinical and epidemiological factors were examined in relation to the identified OA endotypes.Results
Six hundred and fifteen primary OA patients and 237 controls were included. Among the 186 metabolites measured, 162 passed the quality control analysis. The 615 OA patients were classified in three clusters (A, 66; B, 200; and C, 34
SUBMITTER: Werdyani S
PROVIDER: S-EPMC8213424 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature