Integrated bioinformatics analysis for novel miRNAs markers and ceRNA network in diabetic retinopathy

Autor: Jingru Li, Chaozhong Li, Yulan Zhao, Xinyu Wu, Shuai Yu, Guihu Sun, Peng Ding, Si Lu, Lijiao Zhang, Ping Yang, Yunzhu Peng, Jingyun Fu, Luqiao Wang
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Genetics, Vol 13 (2022)
Druh dokumentu: article
ISSN: 1664-8021
DOI: 10.3389/fgene.2022.874885
Popis: In order to seek a more outstanding diagnosis and treatment of diabetic retinopathy (DR), we predicted the miRNA biomarkers of DR and explored the pathological mechanism of DR through bioinformatics analysis.Method: Based on public omics data and databases, we investigated ncRNA (non-coding RNA) functions based on the ceRNA hypothesis.Result: Among differentially expressed miRNAs (DE-miRNAs), hsa-miR-1179, -4797-3p and -665 may be diagnosis biomarkers of DR. Functional enrichment analysis revealed differentially expressed mRNAs (DE-mRNAs) enriched in mitochondrial transport, cellular respiration and energy derivation. 18 tissue/organ-specific expressed genes, 10 hub genes and gene cluster modules were identified. The ceRNA networks lncRNA FBXL19-AS1/miR-378f/MRPL39 and lncRNA UBL7-AS1/miR-378f/MRPL39 might be potential RNA regulatory pathways in DR.Conclusion: Differentially expressed hsa-miR-1179, -4797-3p and -665 can be used as powerful markers for DR diagnosis, and the ceRNA network: lncRNA FBXL19-AS1/UBL7-AS1-miR-378f-MRPL39 may represent an important regulatory role in DR progression.
Databáze: Directory of Open Access Journals