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. 2019 Jun 4:10:531.
doi: 10.3389/fgene.2019.00531. eCollection 2019.

RNA-Seq Revealed Novel Non-proliferative Retinopathy Specific Circulating MiRNAs in T2DM Patients

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Free PMC article

RNA-Seq Revealed Novel Non-proliferative Retinopathy Specific Circulating MiRNAs in T2DM Patients

Zimeng Li et al. Front Genet. .
Free PMC article

Abstract

Background: Diabetic retinopathy (DR) is a common diabetes complication and was considered as the major cause of blindness among young adults. MiRNAs are a group of small non-coding RNAs regulating the expression of target genes and have been reported to be associated with the development of DR in a variety of molecular mechanisms. In this study, we aimed to identify miRNAs that are differentially expressed (DE) in the serum of DR patients. Methods: We recruited 21 type 2 diabetes mellitus (T2DM) inpatients of Chinese Han ancestry, consisting of 10 non-proliferative DR patients (DR group) and 11 non-DR T2DM patients (NDR group). MiRNA was extracted from fasting peripheral serum and quantified by RNA-seq. The expression levels of miRNA were evaluated and compared between the two groups, with adjustments made for age differences. The validated target genes of miRNAs were subjected to a pathway analysis. We also constructed a weighted polygenic risk score using the DE miRNA and evaluated its predictive power. Results: Five miRNAs were DE between DR and NDR groups (p-Value ≤ 0.01, LFC ≥ 2 or LFC ≤-2). These included miR-4448, miR-338-3p, miR-190a-5p, miR-485-5p, and miR-9-5p. In total, these miRNAs were validated to regulate 55 target genes. Four target genes were found to overlap with the NAD metabolism, sirtuin, and aging pathway, which was thought to control the vascular growth and morphogenesis. The predictive power of our polygenic risk score was apparently high (AUC = 0.909). However, it needs to be interpreted with caution. Conclusion: In this study, we discovered novel DR-specific miRNAs in human serum samples. These circulating miRNAs may represent the pathological changes in the retina in response to diabetes and may serve as non-invasive biomarkers for early DR risk prediction.

Keywords: diabetes retinopathy; early prediction; microRNA; polygenic risk score; type 2 diabete mellitus.

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Figures

FIGURE 1
FIGURE 1
The volcano plot and MA-plot of expressed miRNAs. (A) Volcano plot. Significantly DE miRNAs are in black. Others are in gray. (B) MA plot. When the LFC of the DE miRNAs were greater than 2 or less than –2, they were presented by black triangles on the boundary.
FIGURE 2
FIGURE 2
The ROC curve of the polygenic risk score. ROC, receiver operator characteristics; AUC, area under curve. Shadow area represents the 95% confidence interval. The dot in the curve represents the optimal cutoff point and the corresponding specificity and sensitivity (parentheses).

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