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Published in: Acta Diabetologica 1/2019

01-01-2019 | Original Article

Circulating miRNAs in diabetic kidney disease: case–control study and in silico analyses

Authors: Taís S. Assmann, Mariana Recamonde-Mendoza, Aline R. Costa, Márcia Puñales, Balduíno Tschiedel, Luís H. Canani, Andrea C. Bauer, Daisy Crispim

Published in: Acta Diabetologica | Issue 1/2019

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Abstract

Aims

The aim of this study was to investigate a miRNA expression profile in type 1 diabetes mellitus (T1DM) patients with DKD (cases) or without this complication (controls).

Methods

Expression of 48 miRNAs was screened in plasma of 58 T1DM patients (23 controls, 18 with moderate DKD, and 17 with severe DKD) using TaqMan Low Density Array cards (Thermo Fisher Scientific). Then, five of the dysregulated miRNAs were selected for validation in an independent sample of 10 T1DM controls and 19 patients with DKD (10 with moderate DKD and 9 with severe DKD), using RT-qPCR. Bioinformatic analyses were performed to explore the putative target genes and biological pathways regulated by the validated miRNAs.

Results

Among the 48 miRNAs investigated in the screening analysis, 9 miRNAs were differentially expressed between DKD cases and T1DM controls. Among them, the five most dysregulated miRNAs were chosen for validation in an independent sample. In the validation sample, miR-21-3p and miR-378-3p were confirmed to be upregulated in patients with severe DKD, while miR-16-5p and miR-29a-3p were downregulated in this group compared to T1DM controls and patients with moderate DKD. MiR-503-3p expression was not validated. Bioinformatic analyses indicate that the four validated miRNAs regulate genes from PI3K/Akt, fluid shear stress and atherosclerosis, AGE-RAGE, TGF-β1, and relaxin signaling pathways.

Conclusions

Our study found four miRNAs differentially expressed in patients with severe DKD, providing significant information about the biological pathways in which they are involved.
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Literature
38.
go back to reference Team RC (2013) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna Team RC (2013) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
43.
go back to reference Neal CS, Michael MZ, Pimlott LK, Yong TY, Li JY, Gleadle JM (2011) Circulating microRNA expression is reduced in chronic kidney disease. Nephrology, dialysis, transplantation: official publication of the European Dialysis and Transplant Association. Eur Renal Assoc 26(11):3794–3802. https://doi.org/10.1093/ndt/gfr485 CrossRef Neal CS, Michael MZ, Pimlott LK, Yong TY, Li JY, Gleadle JM (2011) Circulating microRNA expression is reduced in chronic kidney disease. Nephrology, dialysis, transplantation: official publication of the European Dialysis and Transplant Association. Eur Renal Assoc 26(11):3794–3802. https://​doi.​org/​10.​1093/​ndt/​gfr485 CrossRef
Metadata
Title
Circulating miRNAs in diabetic kidney disease: case–control study and in silico analyses
Authors
Taís S. Assmann
Mariana Recamonde-Mendoza
Aline R. Costa
Márcia Puñales
Balduíno Tschiedel
Luís H. Canani
Andrea C. Bauer
Daisy Crispim
Publication date
01-01-2019
Publisher
Springer Milan
Published in
Acta Diabetologica / Issue 1/2019
Print ISSN: 0940-5429
Electronic ISSN: 1432-5233
DOI
https://doi.org/10.1007/s00592-018-1216-x

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