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Comparisons of serum miRNA expression profiles in patients with diabetic retinopathy and type 2 diabetes mellitus

Overview of attention for article published in Clinics, February 2017
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Title
Comparisons of serum miRNA expression profiles in patients with diabetic retinopathy and type 2 diabetes mellitus
Published in
Clinics, February 2017
DOI 10.6061/clinics/2017(02)08
Pubmed ID
Authors

J Ma, J Wang, Y Liu, C Wang, D Duan, N Lu, K Wang, L Zhang, K Gu, S Chen, T Zhang, D You, L Huan

Abstract

The aim of this study was to compare the expression levels of serum miRNAs in diabetic retinopathy and type 2 diabetes mellitus. Serum miRNA expression profiles from diabetic retinopathy cases (type 2 diabetes mellitus patients with diabetic retinopathy) and type 2 diabetes mellitus controls (type 2 diabetes mellitus patients without diabetic retinopathy) were examined by miRNA-specific microarray analysis. Quantitative real-time polymerase chain reaction was used to validate the significantly differentially expressed serum miRNAs from the microarray analysis of 45 diabetic retinopathy cases and 45 age-, sex-, body mass index- and duration-of-diabetes-matched type 2 diabetes mellitus controls. The relative changes in serum miRNA expression levels were analyzed using the 2-ΔΔCt method. A total of 5 diabetic retinopathy cases and 5 type 2 diabetes mellitus controls were included in the miRNA-specific microarray analysis. The serum levels of miR-3939 and miR-1910-3p differed significantly between the two groups in the screening stage; however, quantitative real-time polymerase chain reaction did not reveal significant differences in miRNA expression for 45 diabetic retinopathy cases and their matched type 2 diabetes mellitus controls. Our findings indicate that miR-3939 and miR-1910-3p may not play important roles in the development of diabetic retinopathy; however, studies with a larger sample size are needed to confirm our findings.

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Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 4 10%
Student > Bachelor 4 10%
Student > Postgraduate 4 10%
Student > Master 3 8%
Other 8 21%
Unknown 8 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 23%
Medicine and Dentistry 5 13%
Nursing and Health Professions 3 8%
Unspecified 2 5%
Immunology and Microbiology 2 5%
Other 4 10%
Unknown 14 36%