Skip to main content
Fig. 4 | Diabetology & Metabolic Syndrome

Fig. 4

From: The relevance of the non-invasive biomarkers lncRNA GAS5/miR-21 ceRNA regulatory network in the early identification of diabetes and diabetic nephropathy

Fig. 4

Linear correlation analysis of serum lncRNA GAS5 and miR-21 in relation to clinical and pathological parameters. FBG (r=-0.381, P = 0.011) and HbA1c (r=-0.366, P = 0.001) were significantly negatively correlated with serum lncRNA GAS5. Stepwise regression analysis revealed that FBG (β=-0.001, P = 0.022) was independently correlated with serum lncRNA GAS5; TC(r = 0.400, P = 0.007), while MA(r = 0.692, P < 0.001), Cr(r = 0.506, P < 0.001), Urea (r = 0.516, P < 0.001), SBP (r = 0.431, P = 0.003) were significantly positive correlated with serum miR-21. Also, ALB (r=-0.510, P < 0.001) and eGFR (r=-0.536, P < 0.001) were significantly negatively correlated with serum miR-21. Stepwise regression analysis revealed that ALB (β=-0.054, P < 0.001) was independently correlated with serum miR-21

Back to article page

Diabetology & Metabolic Syndrome

ISSN: 1758-5996

Contact us