Objective:To screen the circRNAs with differential expression between female patients with major depressive disorder and healthy women, and to explore the circRNAs that might be associated with depressive disorder through bioinformatics analysis.Methods:Using high-throughput sequencing screen differentially expressed circRNAs of female major depressive disorder patients, |log 2FC|≥1 and FDR<0.05 were used to determine whether circRNA had a difference in expression.According to the miRNA sponges function of circRNA, the online databases were used to predict miRNAs which may be targeted by circRNAs, and miRNAs related target genes were also predicted by the five most different circRNA.GO and KEGG pathway enrichment analysis were used to predict biological processes for the target genes and signaling pathways.Based on the results of high-throughput sequencing, biological processes and signaling pathways related to depression, circRNAs related to depression were screened. Results:Thirteen targeted miRNAs were predicted by the five most different circRNAs(hsa_circ_0020959, hsa_circ_0005959, hsa_circ_0033064, hsa_circ_0006862, hsa_circ_0027732), and multiple biological processes and signaling pathways related to depressive disorders were predicted by the target genes, such as glucocorticoid receptor signaling pathway, interleukin-7 response, nervous system development, Wnt signaling pathway, FoxO signaling pathway, thyroid hormone signaling pathway, neurotrophin signaling pathway, and so on.Conclusion:All the 5 circRNAs enriched biological processes or signaling pathways related to depressive disorder, among which hsa_circ_0005959, hsa_circ_0033064, hsa_circ_0006862 and hsa_circ_0027732 may be more closely related to female major depressive disorder.

Objective:To obtain differential expression profiles of circRNAs and miRNAs in peripheral blood of female patients with major depressive disorder based on high-throughput sequencing technology, and then construct an interaction network.Based on the outcome, it made a further exploration of the possible occurrence and development mechanisms of female major depressive disorder through functional annotation and pathway enrichment analysis.Methods:According to the ceRNA theory, circRNA-miRNA network was constructed by TargetScan software via predicting the binding sites.Subsequently, the GO functional enrichment analysis was performed, and KEGG pathway enrichment analysis were utlized to illustrate the target genes of co-expressed miRNAs.Thereby, the key genes related to major depressive disorder could be screened out.Results:A total of 724 differential circRNAs and 26 differential miRNAs were detected in female patients with major depressive disorder.And hsa_circ_0086092 and hsa-miR-146a-3p were the most co-expressed.Go functional annotations pointed out that it involved the regulation of nucleobase-containing compound metabolic process, regulation of RNA splicing, regulation of cell communication, amino acid transfer, regulation of RNA metabolic process, regulation of signaling and other biological processes.KEGG pathway analysis showed that target genes were mainly enriched in neurotrophin signaling pathway, Rap1 signaling pathway, FoxO signaling pathway, AMPK signaling pathway, cocaine addiction, mTOR signaling pathway, Jak-STAT signaling pathway, cAMP signaling pathway, etcetera.Among the predicted target genes, BDNF, FGF2, MAPK14, GRIN2A, GRIN2B, GRM2 and PDE4 have the highest correlation with major depressive disorder.Conclusion:Hsa_circ_0086092 may be involved in the occurrence and development of female major depressive disorder through interaction with hsa-miR-146a-3p.