Abstract
BackgroundPatients of coronary artery disease (CAD) with type 2 diabetes mellitus (DM2) show increased mortality risk than CAD patients without DM2, while few biomarkers can be used to discriminate them.MethodsFifty‐nine patients of CAD with DM2 (DM2‐CAD group), 79 patients of CAD without DM2 (CAD group), and 63 healthy control subjects were recruited. Circulating miR‐130 (miR‐130a and miR‐130b) and PPAR‐γ (peroxisome proliferator‐activated receptor gamma) were measured and their Pearson correlation was analyzed. 3′ UTR binding prediction and luciferase assay were used to determine the target relationship between miR‐130 and PPAR‐γ. Receiver operating characteristics (ROC) analysis was performed to test the discrimination ability of miR‐130 between DM2‐CAD and CAD groups.ResultsmiR‐130a and miR‐130b showed decreased expression in DM2‐CAD group when compared with the CAD group and health control. Both bioinformatics and luciferase assays showed that miR‐130 could bind the 3′ UTR of PPAR‐γ. Furthermore, miR‐130 negatively correlated with PPAR‐γ in both CAD and DM2‐CAD group in Pearson's coefficient analysis. Both miR‐130a and miR‐130b were able to discriminate DM2‐CAD group from CAD group and control subjects.ConclusionCirculating miR‐130 may regulate the expression of PPAR‐γ and can be used as a biomarker to discriminate DM2‐CAD from CAD.
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