基于转录组测序筛选多囊卵巢综合征外周血中差异表达基因及miRNAOACSTPCD

Objective:Based on transcriptome sequencing data and combined with bioinformatics technology to analyze the microarray data from whole blood sample sources of polycystic ovary syndrome(PCOS)patients and healthy populations,from which we screened the differentially expressed genes and miRNAs to provide new insights into clinical diagnosis and treatment of PCOS.Methods:The GSE54248 dataset was screened and downloaded from the GEO database,and the differentially expressed genes in the PCOS group and the control group were screened and analyzed for GO and KEGG enrichment using the R software limma package.The online analysis tool STRING database was used for analyzing protein-protein inter-actions and constructing PPI interaction networks by Cytoscape.Four algorithms,MCC,Degree,Closeness,and Bottleneck in CytoHubba plugin were used to calculate the top10 Hub genes and then intersections were taken to identify the hub genes.Finally,we constructed the network map of targeted microRNAs of Hub genes by NetworkAnalyst.Results:A total of 98 differentially ex-pressed genes were screened and identified from the GSE54248 dataset,including 55 up-regula-ted genes and 43 down-regulated genes.GO enrichment analysis showed that the differential gene biological processes were mainly focused on protein autophosphorylation,leukocyte-media-ted immunity,lymphocyte-mediated immunity and immune response modulation signaling path-way,etc.KEGG significantly enriched three pathways:primary immunodeficiency,hematopoietic cell lineage,and Th17 cell differentiation.Combining the results of four algorithms of PPI net-work and CytoHubba,five hub genes,IL-1β,FCGR3A,CD79B,CD27 and CD52,were ob-tained.Combined with the miRNA-target gene co-expression network,five miRNAs,including has-miR-375,has-miR-34a-p,has-miR-126-3p,has-miR-146a-5p,and has-miR-449a,were pre-dicted as possible key miRNA molecules in the peripheral blood of PCOS patients.The qRT-PCR results confirmed that the expression of IL-1β was increased in the peripheral blood of pa-tients in the PCOS group compared with the control group(P<0.05),and the expressions of FCGR3A,CD79B,and CD27 were all significantly increased(P<0.01).Conclusion:In this study,IL-1β,FCGR3A,CD79B,CD27 were identified as possible key genes involved in the pathophysiological process of PCOS through public database mining,and five miRNAs that might be regulating PCOS were identified through bioinformatics analysis,which will provide a new way of thinking to further elucidate the mechanism of the occurrence and development of P-COS in the future,and will also provide new drug targets and diagnosis for PCOS.The results will provide new ideas for further elucidation of the developmental mechanism of PCOS,as well as new drug targets and diagnostic ideas for PCOS.