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Discovering diabetes complications-related microRNAs: meta-analyses and pathway modeling approach.

Ruiyang Yin·Yanjiao Zhang·Xinyi Fang·Yuxin Zhang·Runyu Miao·Yiqi Yao·Huifang Guan·Jiaxing Tian
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Abstract

PURPOSE: MicroRNAs(miRNA) play an important role in the pathogenesis of diabetic complications by regulating gene expression. The objective of this paper is to investigate micoRNA expression in diabetic nephropathy (DN), diabetic retinopathy (DR), diabetic neuropathy (DNP), and diabetic cardiopathy (DC). METHODS: We conducted this systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement and retrieved eligible microRNA-related studies of diabetic complications from PubMed, Embase, and Web of science databases. We enriched pathways corresponding to differentially expressed miRNAs using the miRPath tool on the DIANA website, and predicted their target genes with DIANA microT-CDS and TargetScan. RESULTS: Although many of the selected studies were of high scientific quality, the results were heterogeneous. Among the 71 selected articles, 79 miRNAs were differentially expressed in various complications of diabetes, of which miRNA126, miRNA192 and 17 others were reported in at least two or more studies. A total of 156 target genes were predicted and 103 pathways were obtained by KEGG enrichment analysis. CONCLUSION: This comprehensive systematic evaluation provides experimental evidence statistics for miRNAs as circulating biomarkers and highlights promising biomarkers. These results provide preliminary data to further investigate the role of miRNAs in the diagnosis and therapeutic targets of human diabetic complications and support future broader longitudinal studies to better substantiate the role of dysregulated miRNAs as potential biomarkers and therapeutic targets of diabetic complications.

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HumansMicroRNAsDiabetes ComplicationsBiomarkersGene Regulatory NetworksDiabetes complicationsMeta-analysesMicroRNAPathway modellingJournal ArticleMeta-AnalysisSystematic ReviewResearch Support, Non-U.S. Gov't

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Ruiyang Yin, Yanjiao Zhang, Xinyi Fang, Yuxin Zhang, Runyu Miao, Yiqi Yao, Huifang Guan, Jiaxing Tian. 2025-05-15. Discovering diabetes complications-related microRNAs: meta-analyses and pathway modeling approach.. https://doi.org/10.1186/s12920-025-02144-1

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