Differential expression profiles analysis of miRNA in granulomatous lobular mastitis

Purpose:analysing the differential expression of miRNAs in tissue between GLM patients and healthy controls, provide a comprehensive differential expression profile of miRNAs, screen out possible biomarkers, and elucidate post-transcriptional regulation from the whole level.Methods: The expression profile of miRNAs was measured here by high-throughput sequencing in tissue of GLM patients and healthy controls. Significantly differentially expressed miRNAs were screened by threshold setting and cluster analysis, and their target genes were analysed by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment.Results: a total of 31,077 miRNAs were predicted by high-throughput sequencing.Under the condition of threshold |log2?fold?change?(log2FC)|>2.5, qvalue<0.001, 13 miRNAs that were expected to be GLM biomarkers were sreened out. The expression of 13 miRNAs in the GLM group were higher than in the control group, as follows: hsa-miR-106a-5p, hsa-miR-155-5p, hsa-miR-20b-5p, hsa-miR-223-5p, hsa-miR-3916, hsa-miR-4433a-3p, hsa-miR-4433b-5p, hsa-miR-451a, hsa-miR-4659a-3p, hsa-miR-4802-3p, hsa-miR-5571-3p, hsa-miR-624-5p, and hsa-miR-942-3p. Cell and biological process were the most significantly enriched GO term and KEGG pathway.Conclusions: This is the first report detailing genome-wide miRNA profiling of GLM, and the possible targets and pathways of GLM were analysed from bioinformatic analysis. This study finds that 13 significantly differential expressed miRNAs may have important theoretical significance and potential application value and need subsequent large-sample clinical trials for further validation. Overall design: 10 patients diagnosed with granulomatous lobular mastitis and 10 healthy volunteers