Metabolomic analysis of XXXX plasma reveals that @entity369 is depleted in @entity626 @entity1 .

@entity1 @entity626 @entity571 @entity7222 @entity369
OBJECTIVE: To identify novel biomarker(s) for @entity626 ( @entity571 ) using a metabolomics approach. METHOD: We utilized a two-stage case-control study design. Plasma samples were collected from knee @entity571 @entity1 and healthy controls after 8-h fasting and metabolically profiled using a targeted metabolomics assay kit. Linear regression was used to identify novel metabolic markers for @entity571 . Receiver operating characteristic (ROC) analysis was used to examine diagnostic values. Gene expression analysis was performed on @entity1 cartilage to explore the potential mechanism for the novel @entity571 marker(s). RESULTS: Sixty-four knee @entity571 @entity1 and 45 controls were included in the discovery stage and 72 knee @entity571 @entity1 and 76 age and sex matched controls were included in the validation stage. We identified and confirmed six metabolites that were significantly associated with knee @entity571 , of which @entity369 was the most significant metabolite (P  <  3.5  *  10(-13)) with knee @entity571 @entity1 having on average 69   M lower than that in controls. ROC analysis showed that @entity369 had the greatest diagnostic value with area under the curve (AUC) of 0.984. The optimal cutoff of @entity369 concentration was 57   M with 98.3% sensitivity and 89% specificity. The depletion of @entity369 in @entity571 @entity1 was most likely due to the over activity of @entity369 to @entity7222 pathway, leading to imbalance between cartilage repair and degradation. CONCLUSION: @entity369 is significantly depleted in refractory knee @entity571 @entity1 . Further studies within a longitudinal setting are required to examine whether @entity369 can predict early @entity571 changes.
