Literature DB >> 31678272

Circulating miR-3197 and miR-2116-5p as novel biomarkers for diabetic retinopathy.

Huihui Ji1, Quanyong Yi2, Lishuang Chen2, Liping Wong3, Yanfen Liu4, Guodong Xu4, Jun Zhao4, Tianyi Huang4, Bin Li4, Yong Yang4, Wenxia Li4, Liyuan Han5, Shiwei Duan6.   

Abstract

Diabetic retinopathy (DR) is the leading cause of vision loss among older adults. The goal of this case-control study was to identify circulating miRNAs for the diagnosis of DR. The miRNeasy Serum/Plasma Kit was used to extract serum miRNAs. The μParaflo™ MicroRNA microarray was used to detect the expression levels of the miRNAs. The miRWalk algorithm was applied to predict the target genes of the miRNAs, which were further confirmed by the dual luciferase reporter gene system in HEK293T cells. A microarray was performed between 5 DR cases and 5 age-, sex-, body mass index-, and duration of diabetes-matched type 2 diabetic (T2DM) controls. The quantitative reverse transcription polymerase chain reaction technique was used to validate the differentially expressed circulating miRNAs in 45 DR cases and 45 well-matched controls. Receiver operating characteristic (ROC) curve analysis was used to evaluate the performance of the circulating miRNAs as diagnostic biomarkers for DR. Our microarray analysis screened out miR-2116-5p and miR-3197 as significantly up-regulated in DR cases compared with the controls. Furthermore, two miRNAs were validated in the 45 DR cases and 45 controls. The ROC analysis suggested that both miR-3197 and miR-2116-5p distinguished DR cases from controls. An additional dual-luciferase reporter gene assay confirmed that notch homolog 2 (NOTCH2) was the target gene of miR-2116-5p. Both miR-3197 and miR-2116-5p were identified as promising diagnostic biomarkers for DR. Future research is still needed to explore the molecular mechanisms of miR-3197 and miR-2116-5p in the pathogenesis of DR.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diabetic retinopathy; NCOR2; NOTCH2; circulating miRNAs; miR-2116-5p; miR-3197

Mesh:

Substances:

Year:  2019        PMID: 31678272     DOI: 10.1016/j.cca.2019.10.036

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  9 in total

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5.  Decreased Levels of miR-126 and miR-132 in Plasma and Vitreous Humor of Non-Proliferative Diabetic Retinopathy Among Subjects with Type-2 Diabetes Mellitus.

Authors:  Subhasish Pramanik; Chinmay Saha; Subhankar Chowdhury; Chiranjit Bose; Nitai P Bhattacharyya; Lakshmi Kanta Mondal
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Review 6.  Circulating MicroRNAs as Potential Diagnostic Biomarkers for Diabetic Retinopathy: A Meta-Analysis.

Authors:  Lingli Ma; Yan Wen; Zimeng Li; Nan Wu; Qing Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-08       Impact factor: 6.055

Review 7.  Metabolic Control by DNA Tumor Virus-Encoded Proteins.

Authors:  Martin A Prusinkiewicz; Joe S Mymryk
Journal:  Pathogens       Date:  2021-05-06

8.  MicroRNA-1281 as a Novel Circulating Biomarker in Patients With Diabetic Retinopathy.

Authors:  Marta Greco; Eusebio Chiefari; Francesca Accattato; Domenica M Corigliano; Biagio Arcidiacono; Maria Mirabelli; Rossella Liguori; Francesco S Brunetti; Salvatore A Pullano; Vincenzo Scorcia; Antonino S Fiorillo; Daniela P Foti; Antonio Brunetti
Journal:  Front Endocrinol (Lausanne)       Date:  2020-08-04       Impact factor: 5.555

9.  MicroRNA-29b-3p Promotes Human Retinal Microvascular Endothelial Cell Apoptosis via Blocking SIRT1 in Diabetic Retinopathy.

Authors:  Yong Zeng; Zekai Cui; Jian Liu; Jiansu Chen; Shibo Tang
Journal:  Front Physiol       Date:  2020-01-29       Impact factor: 4.566

  9 in total

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