Background: Patients 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.
Methods: Fifty-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.
Results: miR-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.
Conclusion: Circulating 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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| http://dx.doi.org/10.1002/mgg3.909 | DOI Listing |
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