Differentially Expressed MicroRNAs in the Development of Early Diabetic Retinopathy

Gong, Qiang; Xie, Jia’nan; Liu, Yang; Liu, Ying; Su, Guanfang

doi:10.1155/2017/4727942

Cited by 52 publications

(29 citation statements)

References 36 publications

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“…The expression levels of miR-216a-5p, -34c-5p, -410-3p , and -203a-3p are significantly up-regulated in the DM group compared with that in the control group, while miR-212-3p is down-regulated, and miR-350 shows no significant change. Additionally, in our recent study, we identified several miRNAs, both in HRECs and ARPE-19 cells, whose levels increase with time under hyperglycemia; the levels of these miRNAs also increase in the retinas of STZ-induced DM rats for 4, 6, and 8 weeks after STZ injection [ 36 ]. Amongst the identified miRNAs, miR-124-3p, miR-125b-5p, miR-135b-5p , and miR-199a-5p showed a gradually decreased expression in HRECs and RPE cells; this paralleled an increase in hyperglycemia-treatment time.…”

Section: Roles Of Mirnas In Drmentioning

confidence: 99%

Roles of miRNAs and long noncoding RNAs in the progression of diabetic retinopathy

Gong

2017

Bioscience Reports

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103

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Diabetic retinopathy (DR) is the leading cause of blindness in working-age adults across the world. The pathogenesis of DR is multifactorial and the molecular mechanisms are still not fully understood. Accumulating evidence has demonstrated that noncoding RNAs (ncRNAs) may be aberrantly expressed and may play vital roles in the development of DR. Amongst ncRNAs, miRNAs and long ncRNAs (lncRNAs) are known for their regulatory functions. Here, we summarize the functions and mechanisms of known aberrantly expressed miRNAs and lncRNAs in DR. Additionally, a novel lncRNA–mRNA–miRNA network is included in this review. We highlight original studies that provide detailed data about the mechanisms of miRNAs and lncRNAs, their applications as diagnostic or prognostic biomarkers, and their potential therapeutic targets. In conclusion, this review will help us gain a better understanding of the molecular mechanisms by which miRNAs and lncRNAs perform their functions in DR, and provide general strategies and directions for future research.

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Section: Roles Of Mirnas In Drmentioning

confidence: 99%

Roles of miRNAs and long noncoding RNAs in the progression of diabetic retinopathy

Gong

2017

Bioscience Reports

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103

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“…There was an increase in studies in recent years identifying miRNAs from human samples as DR biomarkers [ 45 – 48 ]. Since our study was a small scale study, we wanted to compare/contrast with some other studies, to see whether our pilot study brought out same candidates, or different sets.…”

Section: Discussionmentioning

confidence: 99%

Unique molecular signatures of microRNAs in ocular fluids and plasma in diabetic retinopathy

Smit-McBride

Nguyen

et al. 2020

PLoS ONE

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The main objective of this pilot study was to identify circulatory microRNAs in aqueous or plasma that were reflecting changes in vitreous of diabetic retinopathy patients. Aqueous, vitreous and plasma samples were collected from a total of 27 patients undergoing vitreoretinal surgery: 11 controls (macular pucker or macular hole patients) and 16 with diabetes mellitus(DM): DM-Type I with proliferative diabetic retinopathy(PDR) (DMI-PDR), DM Type II with PDR(DMII-PDR) and DM Type II with nonproliferative DR(DMII-NPDR). MicroRNAs were isolated using Qiagen microRNeasy kit, quantified on BioAnalyzer, and profiled on Affymetrix GeneChip miRNA 3.0 microarrays. Data were analyzed using Expression Console, Transcriptome Analysis Console, and Ingenuity Pathway Analysis. The comparison analysis of circulatory microRNAs showed that out of a total of 847 human microRNA probes on the microarrays, common microRNAs present both in aqueous and vitreous were identified, and a large number of unique microRNA, dependent on the DM type and severity of retinopathy. Most of the dysregulated microRNAs in aqueous and vitreous of DM patients were upregulated, while in plasma, they were downregulated. Dysregulation of miRNAs in aqueous did not appear to be a good representative of the miRNA abundance in vitreous, or plasma, although a few potential candidates for common biomarkers stood out: let-7b, miR-320b, miR-762 and miR-4488. Additionally, each of the DR subtypes showed miRNAs that were uniquely dysregulated in each fluid (i.e. aqueous: for DMII-NPDR was miR-455-3p; for DMII-PDR was miR-296, and for DMI-PDR it was miR-3202). Pathway analysis identified TGF-beta and VEGF pathways affected. The comparative profiling of circulatory miRNAs showed that a small number of them displayed differential presence in diabetic retinopathy vs. controls. A pattern is emerging of unique molecular microRNA signatures in bodily fluids of DR subtypes, offering promise for the use of ocular fluids and plasma for diagnostic and therapeutic purposes.

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“…Gong et al 32 demonstrated that miR-124/miR-125b expression decreased with DR progression in vitro and in vivo; miR-124-3p and miR-125b-5p expression gradually decreased as the exposure time to high glucose increased, and these effects occurred concomitantly with the early development of DR. The tumor suppressor miR-124 is downregulated in cancers and plays a role in regulating cell proliferation and apoptosis by targeting different genes in distinct types of cancer.…”

Section: Discussionmentioning

confidence: 99%

Bioinformatics Analysis of Weighted Genes in Diabetic Retinopathy

You

Zhang

et al. 2018

Invest. Ophthalmol. Vis. Sci.

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PURPOSE. Intricate signaling networks and transcriptional regulators translate pathogen recognition into defense responses. The aim of this study was to identify the weighted genes involved in diabetic retinopathy (DR) in different rodent models of diabetes. METHODS. We performed a gene coexpression analysis of publicly available microarray data, namely, the GSE19122 dataset from the Gene Expression Omnibus database. We conducted gene coexpression analysis on the microarray data to identify modules of functionally related coexpressed genes that are differentially expressed in different rodent models. We leveraged a richly curated expression dataset and used weighted gene coexpression network analysis to construct an undirected network. We screened 30 genes in the most closely related module. A protein-protein interaction network was constructed for the genes in the most related module using the Search Tool for the Retrieval of Interacting Genes. Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were performed for the 30 genes. RESULTS. Five visual perception-related genes (Pde6g, Guca1a, Rho, Sag, and Prph2) were significantly upregulated. Based on the competing endogenous RNA hypothesis, a link between the long noncoding RNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) and visual perception-related mRNAs was constructed using bioinformatics tools. Six potential microRNAs (miR-155-5p, miR-1a-3p, miR-122-5p, miR-223-3p, miR-125b-5p, and miR-124-3p) were also screened. CONCLUSIONS. MALAT1 might play important roles in DR by regulating Sag and Guca1a through miR-124-3p and regulating Pde6g through miR-125b-5p.

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Differentially Expressed MicroRNAs in the Development of Early Diabetic Retinopathy

Cited by 52 publications

References 36 publications

Roles of miRNAs and long noncoding RNAs in the progression of diabetic retinopathy

Roles of miRNAs and long noncoding RNAs in the progression of diabetic retinopathy

Unique molecular signatures of microRNAs in ocular fluids and plasma in diabetic retinopathy

Bioinformatics Analysis of Weighted Genes in Diabetic Retinopathy

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