ArticleComputational and mathematical methods in medicine2021
Dissecting the Pathogenesis of Diabetic Retinopathy Based on the Biological ceRNA Network and Genome Variation Disturbance.
Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Curcumol targets the FTO/MAFG-AS1 axis to alleviate diabetic retinopathyWorld journal of diabetes · 2025Article
- Regulation of Long Noncoding RNA NEAT1/miR-320a/HIF-1α Competitive Endogenous RNA Regulatory Network in Diabetic Retinopathy.Investigative ophthalmology & visual science · 2023Article
- Long Non-coding RNA SPAG5-AS1 Attenuates Diabetic Retinal Vascular Dysfunction by Inhibiting Human Retinal Microvascular Endothelial Cell Proliferation, Migration, and Tube Formation by Regulating the MicroRNA-1224-5p/IRS-1 Axis.Molecular biotechnology · 2023Article
- Upregulation of PCED1B-AS1 in proliferative diabetic retinopathy and its involvement in retinal vascular endothelial cell proliferation.BMC ophthalmology · 2022Article
- Integrated bioinformatics analysis for novel miRNAs markers and ceRNA network in diabetic retinopathy.Frontiers in genetics · 2022Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
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Abstract
backgroundDiabetic retinopathy (DR) is the most important manifestation of diabetic microangiopathy. It is essential to explore the gene regulatory relationship and genomic variation disturbance of biological networks in DR progression.
methodsIn this study, we constructed a comprehensive lncRNA-mRNA ceRNA network of DR procession (CLMN) and explored its topological characteristics.
resultsModular and functional analysis indicated that the organization of CLMN performed fundamental and specific functions in diabetes and DR pathology. The differential expression of hub ceRNA nodes and positive correlation reveals the highly connected ceRNA regulation and important roles in the regulating of DR pathology. A large proportion of SNPs in the TFBS, DHS, and enhancer regions of lncRNAs will affect lncRNA transcription and further cause expression variation. Some SNPs were found to disrupt the lncRNA functional elements such as miRNA target binding sites. These results indicate the complex nature of genotypic effects in the disturbing of CLMN and further contribute to gene expression variation and different disease phenotypes.
conclusionThe identification of individual genomic variations and analysis of biological network disturbance by these genomic variations will help provide more personalized treatment plans and promote the development of precision medicine for DR.
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