Int J Med Sci 2016; 13(6):457-465. doi:10.7150/ijms.15548 This issue Cite

Research Paper

Differential microRNA Profiles Predict Diabetic Nephropathy Progression in Taiwan

Hung-Yu Chien1*, Chang-Yi Chen2*, Yen-Hui Chiu3, Yi-Chun Lin4,5, Wan-Chun Li2,3✉

1. Department of Endocrinology & Metabolism, Taipei City Hospital, Ren-Ai Branch, Taipei, Taiwan;
2. Institute of Oral Biology and Department of Dentistry, School of Dentistry, National Yang-Ming University, Taipei, Taiwan;
3. Department of Education and Research, Taipei City Hospital, Taipei, Taiwan;
4. Division of Endocrinology &Metabolism, Taipei Veterans General Hospital, Taipei, Taiwan;
5. Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan;
*These authors contributed equally.

Citation:
Chien HY, Chen CY, Chiu YH, Lin YC, Li WC. Differential microRNA Profiles Predict Diabetic Nephropathy Progression in Taiwan. Int J Med Sci 2016; 13(6):457-465. doi:10.7150/ijms.15548. https://www.medsci.org/v13p0457.htm
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Abstract

Objectives: Diabetic nephropathy (DN) is a major leading cause of kidney failure. Recent studies showed that serological microRNAs (miRs) could be utilized as biomarkers to identify disease pathogenesis; the DN-related miRs, however, remained to be explored. Methods: A prospective case-control study was conducted. The clinical significance of five potential miRs (miR-21, miR-29a, miR-29b, miR-29c and miR192) in type 2 Diabetes Mellitus (T2DM) patients who have existing diabetic retinopathy with differential Albumin:Creatinine Ratio (ACR) and estimated Glomerular Filtration Rate (eGFR) was performed using quantitative RT-PCR analysis. The subjects with diabetic retinopathy enrolled in Taipei City Hospital, Taiwan, were classified into groups of normal albuminuria (ACR<30mg/g; N=12); microalbuminuria (30mg/g<ACR<300mg/g; N=17) and overt proteinuria (ACR>300mg/g; N=21) as well as 18 low-eGFR (eGFR<60ml/min) and 32 high-eGFR (eGFR>60ml/min). The level of serum miRs was statistically correlated with age, Glucose AC, ACR, eGFR and DN progression. Results: The levels of miR-21, miR-29a and miR-192 were significantly enriched in the overt proteinuria group compared with microalbuminuria and/or overt proteinuria groups. It was shown that only miR-21 level was significantly up-regulated in low-eGFR group compared with high-eGFR patients. Interestingly, Pearson's correlation coefficient analysis demonstrated that DN progressors showed significantly greater levels of miR-21, miR-29a, miR-29b and miR-29c in comparison with non-progressors implying the clinical potential of DN associated miRs in monitoring and preventing disease advancement. Conclusion: Our findings showed that miR-21, miR-29a/b/c and miR-192 could reflect DN pathogenesis and serve as biomarkers during DN progression.

Keywords: Albumin:creatinine ratio, Biomarkers, Circulating microRNA, Diabetic nephropathy, Estimated Glomerular Filtration Rate.


Citation styles

APA
Chien, H.Y., Chen, C.Y., Chiu, Y.H., Lin, Y.C., Li, W.C. (2016). Differential microRNA Profiles Predict Diabetic Nephropathy Progression in Taiwan. International Journal of Medical Sciences, 13(6), 457-465. https://doi.org/10.7150/ijms.15548.

ACS
Chien, H.Y.; Chen, C.Y.; Chiu, Y.H.; Lin, Y.C.; Li, W.C. Differential microRNA Profiles Predict Diabetic Nephropathy Progression in Taiwan. Int. J. Med. Sci. 2016, 13 (6), 457-465. DOI: 10.7150/ijms.15548.

NLM
Chien HY, Chen CY, Chiu YH, Lin YC, Li WC. Differential microRNA Profiles Predict Diabetic Nephropathy Progression in Taiwan. Int J Med Sci 2016; 13(6):457-465. doi:10.7150/ijms.15548. https://www.medsci.org/v13p0457.htm

CSE
Chien HY, Chen CY, Chiu YH, Lin YC, Li WC. 2016. Differential microRNA Profiles Predict Diabetic Nephropathy Progression in Taiwan. Int J Med Sci. 13(6):457-465.

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