BACKGROUND
Diabetic kidney disease (DKD) can result in
end-stage kidney disease and
renal failure. This study aimed to examine the expression of serum
microRNAs (
miRNAs), miR-20a, miR-99b, miR-122-5p, and miR-486-5p, and to use bioinformatics data to investigate the pathways involved in DKD. MATERIAL AND METHODS Serum
miRNAs were obtained from 25 healthy volunteers, 50 patients with non-complicated
type 2 diabetes mellitus (T2DM), and 42 patients with T2DM and DKD. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the expression of serum
miRNAs. Specificity and sensitivity of the association between serum
miRNAs in DKD were evaluated by analysis of the receiver operating characteristic (ROC) area under the curve (AUC). Serum
miRNAs and clinical parameters of the patients were compared. Bioinformatics data analysis accessed the
miRNA targets involved in the pathways related to the pathogenesis of DKD. RESULTS Serum levels of miR-99b and miR-122 significantly increased, and mir-20a and miR-486 decreased in the DKD group compared with healthy controls. Serum levels of miR-20a, miR-99b, miR-486-5p, and miR-122-5p were significantly correlated with
albuminuria, estimated glomerular filtration rate (eGFR),
blood glucose and
lipid profiles. ROC curve analysis showed that diagnostic accuracy of serum levels of miR-99b for DKD was superior to miR-486-5p, miR-122-5p, and miR-20a, resulting in AUCs of 0.895, 0.853, 0.80, and 0.697, respectively. These four
miRNAs regulate several genes affecting oxidative stress,
inflammation, and apoptosis. CONCLUSIONS Serum miR-99b, miR-486-5p, miR-122-5p, and miR-20a were differentially expressed in patients with T2DM and DKD and should be evaluated further as potential
biomarkers for DKD.