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.

Objective:To investigate the regulatory role of defferentially expressed LOC107987438 in the pathogenesis of depressive disorder and provide a theoretical basis for its clinical application in depressive disorder.Methods:Differential expression of LOC107987438 was verified by quantitative real-time polymerase chain reaction(qRT-PCR)in peripheral blood monocular cells(PBMCs)of 60 patients with depressive disorder and 60 health controls. In addition, its diagnostic value was assessed by receiver operating characteristic(ROC)curves. Based on the ceRNA mechanism of lncRNA, the miRDB database was applied to predict the target miRNAs of LOC107987438, and the miRNAs with target score ≥ 80 among them were screened out.The screened miRNAs were then used to predict their potential target mRNAs through four databases which were TargetScan 8.0, miRTarBase, mirDIP and miRPathDB. Moreover, the predicted target mRNAs were annotated for gene ontology(GO)function annotation and tokoyo encyclopedia of genes and genomes(KEGG) pathway enrichment analysis via ClusterProfiler 4.0.5 package of R 4.1.1. Finally, a protein-protein interaction network was constructed using the STRING 11.5 platform to retrieve the interacting genes.Results:The qRT-PCR results showed that normalized expression of LOC107987438 in PBMCs of patients with depressive disorder was higher than that in health controls(depressive disorder: 2.084±1.357, health controls: 1.000±0.660, P<0.001). The ROC curve results showed that the area under curves(AUC)of LOC107987438 was 0.759(95% CI: 0.675-0.842, P<0.05), indicating its high potential diagnostic value. Bioinformatics analysis showed that hsa-miR-4670-3p, hsa-miR-619-3p, hsa-miR-6721-5p and hsa-miR-297 were the miRNAs with high bindings to LOC107987438. The results of KEGG signaling pathway enrichment revealed that hypoxia-inducible factor 1(HIF-1)signaling pathway, phosphatidylinositol 3-kinase-AKT(PI3K-Akt) signaling pathway and erythroblastic oncogene B(ErbB) signaling pathway were closely associated with depressive disorder. Among the top ten key genes screened by the protein-protein interaction network, kirsten rats arcomaviral oncogene homolog(KRAS), androgen receptor(AR), cyclic-AMP response binding protein1(CREB1), insulin-like growth factor 1(IGF1), cyclin-dependent kinase inhibitor 1B(CDKN1B) and calcium/calmodulin-dependent protein kinase type Ⅱ alpha(CAMK2A)were strongly associated with depressive disorder. Conclusion:The establishment of ceRNA regulatory network of LOC107987438 provides a theoretical basis for exploring the pathophysiology of depressive disorders.

Objective:To test the reliability and validity of the general procrastination scale (GPS) in the application of middle school students.Methods:The Chinese version of GPS, the irrational procrastination scale(IPS), and the Maslach burnout inventory(MBI) were utilized to survey 10 825 middle school students in Harbin City through stratified random sampling, and 4 498 students were retested after 4 weeks. Statistical analysis was performed using SPSS 27.0 and Mplus 8.0.Results:The entries were well differentiated.Exploratory and confirmatory factor analysis indicated that GPS was composed of two factors, including active avoidance and lack of planning.The model fit was good (CFI=0.914, TLI=0.901, RMSEA=0.069, SRMR=0.072). GPS was positively correlated with the total scores of IPS and MBI ( r=0.753, 0.677, both P<0.001). The Cronbach's α coefficient of GPS was 0.864, the folded half reliability was 0.870, and the retest reliability after 4 weeks was 0.756. Conclusion:The GPS has good reliability and validity among middle school students, which provides a standard for measuring the procrastination level of middle school students and carrying out related research.

Major depressive disorder (MDD) has become an increasingly serious public health issue, characterized by high incidence and high disability rates. It often coexists with other mental health problems and physical diseases, with a significant negative impact on patients' quality of life. In clinical practice, MDD is considered a heterogeneous disease. The complexity of the pathological mechanisms and the variability in treatment responses lead to a lack of clear therapeutic targets, which complicates the treatment process. In recent years, with advancements in neuroscience, the crucial role of microglia in the pathogenesis of MDD has been revealed. As the main immune cells in the brain, microglia are not only involved in the regulation of neuroinflammation but also play important roles in neurogenesis and neuronal regulation in MDD. This article mainly discusses the role of microglia in the pathophysiological mechanisms of MDD, aiming to provide a theoretical basis for microglia as a potential target for the treatment of MDD.