MicroRNA-Expression Profiling in Myopia: A Meta-Analysis and Systematic Review
Autor: | Nan Hong, Bo Jiang, Lei Gu, Si-Yi Chen, Jian-Ping Tong |
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Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Ophthalmic Research. 65:254-263 |
ISSN: | 1423-0259 0030-3747 |
DOI: | 10.1159/000521300 |
Popis: | Background: Myopia (nearsightedness) is currently the most common human eye disorder, worldwide. In the recent years, several studies have addressed the role of microRNAs (miRNAs) in the pathogenesis of myopia. Objectives: The aim of this study was to perform a meta-analysis on the miRNA-expression profiling studies in myopia to identify commonly dysregulated miRNAs in myopic tissues. Method: Seven independent studies were included in the meta-analysis. A vote-counting strategy was employed as the meta-analysis method. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and Gene Ontology (GO) functional enrichment analysis were performed to identify the pathways most strongly affected by the dysregulated mouse miRNAs. Results: According to the vote-counting method, eighteen miRNAs were reported in at least 2 studies with the consistent direction, of which 13 miRNAs were commonly upregulated in myopic samples compared with control samples, and five miRNAs were commonly downregulated. Subgroup analyses divided and compared the differentially expressed miRNAs according to species (human and animal) and ocular tissue types. The KEGG analysis showed that the dysregulated mouse miRNAs were most enriched in extracellular matrix-receptor interaction signal pathway. The most enriched GO process regulated by the dysregulated mouse miRNAs was cellular protein modification process. Conclusions: Our meta-analysis recommends several miRNAs may provide some clues of the potential biomarkers in myopia. Further mechanistic studies are warranted to elucidate the biological role of the dysregulated miRNAs in the development of myopia. |
Databáze: | OpenAIRE |
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