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Review
. 2017 Summer;6(3):156-163.
doi: 10.22088/acadpub.BUMS.6.3.156. Epub 2017 Aug 14.

Association of MiR-146a Expression and Type 2 Diabetes Mellitus: A Meta-Analysis

Behnam Alipoor  1   2 , Hamid Ghaedi  3   2 , Reza Meshkani  4 , Shahram Torkamandi  3 , Sana Saffari  5 , Mostafa Iranpour  3 , Mir Davood Omrani  3
Affiliations
Review

Association of MiR-146a Expression and Type 2 Diabetes Mellitus: A Meta-Analysis

Behnam Alipoor et al. Int J Mol Cell Med. 2017 Summer.

Abstract

Although deregulation of miR-146a has been reported in type 2 diabetes repeatedly, the direction of deregulation events (up or down) remained to be inconsistent in literatures. Therefore, in this study we performed a meta-analysis on the possible association between miR-146a expression levels and type 2 diabetes. A systematic literature searching of PubMed, ISI Web of Science and Google Scholar was performed up to the end of September 2016. Finally, a total of 12 studies including 344 diabetic patients and 316 controls were selected for meta-analysis. All statistical analysis was performed using the metafor package with R software. Moreover, publication bias was assessed by Egger's and sensitivity analysis was applied on the meta-analysis. The results are presented as log10 odds ratios (logORs), 95% confidence intervals (CI) with relevant P values. The results revealed that miR-146a was downregulated in type 2 diabetes cases compared with normal subjects (P=0.01, logOR:-4.76, 95% CI:-8.41, -1.11). Furthermore, sub-group analysis showed that the association between miR-146a expression levels and type 2 diabetes in whole blood (P<0.001) and PBMCs (P<0.001) samples were significant. However, this association was not significant in the serum (P=0.67) and plasma (P=0.90) samples. Our finding suggests that miR-146a downregulation could be associated with type 2 diabetes susceptibility. Further investigations with larger sample size are required to evaluate this association in the type 2 diabetes pathogenesis.

Keywords: Type 2 diabetes; meta-analysis; microRNA-146a.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

Fig. 1
Fig. 1
Forest plot analysis for the association of miR-146a expression level and T2D.
Fig. 2
Fig. 2
Funnel plot of publication bias. Egger’s test was applied to assess funnel asymmetry and the statistics was t= -0.67, df= 10, P value=0.51.
See this image and copyright information in PMC

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