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

• Published in: Frontiers in genetics Vol. 13; p. 874885
• Main Authors: Li, Jingru, Li, Chaozhong, Zhao, Yulan, Wu, Xinyu, Yu, Shuai, Sun, Guihu, Ding, Peng, Lu, Si, Zhang, Lijiao, Yang, Ping, Peng, Yunzhu, Fu, Jingyun, Wang, Luqiao
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 16-09-2022
• Subjects: bioinformatics analysis; biomarker; diabetic retinopathy; Genetics; microarray; RNA regulatory pathways
• ISSN: 1664-8021; 1664-8021
• DOI: 10.3389/fgene.2022.874885

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.