Classification of osteoarthritis phenotypes by metabolomics analysis

作者：Weidong Zhang, Sergei S Likhodii, Yuhua Zhang, Erfan Aref‐Eshghi, Patricia E. Harper, Edward W. Randell, Roger Green, Glynn Martin, Andrew J. Furey, Guang Sun, Proton Rahman, Guangju Zhai · 发表于：BMJ Open · 年份：2014 · DOI：10.1136/bmjopen-2014-006286 · 被引用次数：116 · 研究领域：Metabolomics and Mass Spectrometry Studies、Osteoarthritis Treatment and Mechanisms、Metabolism and Genetic Disorders

OBJECTIVES: To identify metabolic markers that can classify patients with osteoarthritis (OA) into subgroups. DESIGN: A case-only study design was utilised. PARTICIPANTS: Patients were recruited from those who underwent total knee or hip replacement surgery due to primary OA between November 2011 and December 2013 in St. Clare's Mercy Hospital and Health Science Centre General Hospital in St. John's, capital of Newfoundland and Labrador (NL), Canada. 38 men and 42 women were included in the study. The mean age was 65.2±8.7 years. OUTCOME MEASURES: Synovial fluid samples were collected at the time of their joint surgeries. Metabolic profiling was performed on the synovial fluid samples by the targeted metabolomics approach, and various analytic methods were utilised to identify metabolic markers for classifying subgroups of patients with OA. Potential confounders such as age, sex, body mass index (BMI) and comorbidities were considered in the analysis. RESULTS: Two distinct patient groups, A and B, were clearly identified in the 80 patients with OA. Patients in group A had a significantly higher concentration on 37 of 39 acylcarnitines, but the free carnitine was significantly lower in their synovial fluids than in those of patients in group B. The latter group was further subdivided into two subgroups, that is, B1 and B2. The corresponding metabolites that contributed to the grouping were 86 metabolites including 75 glycerophospholipids (6 lysophosphatidylcholines, 69 phospha...