Objective:To investigate the characteristics of m6A methylation modification patterns in mRNA of patients with major depressive disorder (MDD) and its effect in the pathogenesis of the disease.Methods:From March 2022 to May 2023, five untreated MDD patients were assigned to the MDD group, and five healthy individuals were enrolled as the healthy control group at the First Psychiatric Hospital of Harbin.Microarray analysis was performed to determine the m6A modification profiles and gene expression patterns of mRNA in MDD. Gene ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis were conducted to elucidate the effect of m6A methylation in the development of depression. Finally, methylated RNA immunoprecipitation combined with quantitative PCR (MeRIP-qPCR) was used to validate the m6A methylation levels of key mRNAs (GRM4, CAMKK2). Data were analyzed using R software (version 4.2.0) with t-test and Fisher's exact test. Results:Significant differences in m6A-modified mRNAs were observed between MDD patients and healthy controls. A total of 513 mRNAs (180 hypermethylated and 333 hypomethylated) exhibited differential m6A modifications in MDD patients. GO and KEGG analysis revealed that hypermethylated mRNAs were primarily enriched in neuroactive ligand-receptor interactions, while hypomethylated mRNAs were associated with the AMP-activated protein kinase (AMPK) signaling pathway. Additionally, a total of 350 differentially expressed mRNAs were identified (171 upregulated and 179 downregulated), enriched in the cyclic adenosine monophosphate (cAMP) and tumor necrosis factor (TNF) signaling pathways. MeRIP-qPCR results demonstrated that the m6A methylation level of GRM4 in MDD patients (25.40±2.38) was significantly higher than that in healthy controls (9.40±1.00) ( t=13.88, P<0.05), whereas the methylation level of CAMKK2 (19.63±6.60) was significantly lower than that in healthy controls (30.51±7.20) ( t=2.48, P<0.05). Conclusion:The m6A modification expression profile is abnormal in patients with major depressive disorder, which may be involved in the pathogenesis and development of MDD, and the identification of key pathways may provide new clues and evidence for the development of more effective therapeutic targets for MDD.

Objective:To investigate the characteristics of m6A methylation modification patterns in mRNA of patients with major depressive disorder (MDD) and its effect in the pathogenesis of the disease.Methods:From March 2022 to May 2023, five untreated MDD patients were assigned to the MDD group, and five healthy individuals were enrolled as the healthy control group at the First Psychiatric Hospital of Harbin.Microarray analysis was performed to determine the m6A modification profiles and gene expression patterns of mRNA in MDD. Gene ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis were conducted to elucidate the effect of m6A methylation in the development of depression. Finally, methylated RNA immunoprecipitation combined with quantitative PCR (MeRIP-qPCR) was used to validate the m6A methylation levels of key mRNAs (GRM4, CAMKK2). Data were analyzed using R software (version 4.2.0) with t-test and Fisher's exact test. Results:Significant differences in m6A-modified mRNAs were observed between MDD patients and healthy controls. A total of 513 mRNAs (180 hypermethylated and 333 hypomethylated) exhibited differential m6A modifications in MDD patients. GO and KEGG analysis revealed that hypermethylated mRNAs were primarily enriched in neuroactive ligand-receptor interactions, while hypomethylated mRNAs were associated with the AMP-activated protein kinase (AMPK) signaling pathway. Additionally, a total of 350 differentially expressed mRNAs were identified (171 upregulated and 179 downregulated), enriched in the cyclic adenosine monophosphate (cAMP) and tumor necrosis factor (TNF) signaling pathways. MeRIP-qPCR results demonstrated that the m6A methylation level of GRM4 in MDD patients (25.40±2.38) was significantly higher than that in healthy controls (9.40±1.00) ( t=13.88, P<0.05), whereas the methylation level of CAMKK2 (19.63±6.60) was significantly lower than that in healthy controls (30.51±7.20) ( t=2.48, P<0.05). Conclusion:The m6A modification expression profile is abnormal in patients with major depressive disorder, which may be involved in the pathogenesis and development of MDD, and the identification of key pathways may provide new clues and evidence for the development of more effective therapeutic targets for MDD.

Objective:To explore the chain mediating effect of anxiety and flow experience on perceived stress and mobile phone addiction in nursing college students.Methods:In December 2021, a cross-sectional design survey was conducted on 4 179 freshmen and sophomores in a nursing college in Heilongjiang Province. The Chinese perceived stress scale, generalized anxiety disorder-7, flow state scale, and mobile phone addiction tendency scale were selected separately to assess perceived stress, anxiety symptoms, flow experience and mobile phone addiction. SPSS 26.0 software was used for descriptive analysis, independent sample t-test, Spearman correlation analysis, and AMOS 24.0 software was used for mediating effect test. Results:(1) Among the 3 050 nursing students, there were 714(23.41%) students who were addicted to mobile phones. (2) Spearman correlation analysis indicated that perceived stress(27.31±9.56) was positively correlated with anxiety(7.00(1.00, 10.00), r=0.441, P<0.05), flow experience((12.00±3.40), r=0.517, P<0.05), and mobile phone addiction((42.42±13.05), r=0.476, P<0.05).Anxiety was positively correlated with flow experience ( r=0.430, P<0.01) and mobile phone addiction ( r=0.538, P<0.01).Flow experience was positively correlated with mobile phone addiction ( r=0.490, P<0.01). (3) Anxiety and flow experience played seperate mediating and chain mediating roles between perceived stress and mobile phone addiction, accounting for 26.06%(0.165/0.633), 23.54%(0.149/0.633) and 3.48%(0.022/0.633) of the total effect. Conclusion:Perceived stress not only directly affects the mobile phone addiction of nursing students, but also indirectly affects mobile phone addiction through the independent and chain mediating effects of anxiety and flow experience.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

Objective:To explore the chain mediating effect of future orientation and academic engagement between perceived teacher support and academic procrastination in high school students.Methods:From December 2021 to February 2022, a survey was conducted on 550 high school students by the perceived teacher support questionnaire, the adolescent future orientation scale, the academic engagement scale, and the general procrastination scale-for student populations (GPS). Data were entered by EpiData 3.1 software, and SPSS 26.0 software was used to process and analyze the data by one-way ANOVA, Pearson correlation analysis and Bootstrap method test.Results:The scores of perceived teacher support, future orientation, academic engagement and academic procrastination were (3.77±0.80), (3.22±0.48), (68.11±18.08) and (52.32±11.78) respectively.The results of correlation analysis showed that academic procrastination was negatively correlated with perceived teacher support, future orientation and academic engagement ( r=-0.32, -0.38, -0.49, all P<0.01), while perceived teacher support was positively correlated with future orientation and academic engagement ( r=0.40, 0.43, both P<0.01). Future orientation was positively correlated with academic engagement ( r=0.56, P<0.01). The mediating effect analysis showed that perceived teacher support had a significant direct effect on academic procrastination (effect value: -0.10, 95% CI =-0.19--0.02), accounting for 32.26% of the total effect.The mediating effect between perceived teacher support and academic procrastination was found between future orientation and academic engagement (effect value: -0.05, 95% CI =-0.09- -0.02; effect values: -0.09, 95% CI=-0.15--0.05), accounting for 16.13% and 29.03% of the total effect respectively.Future orientation and academic engagement had a chain mediating effect between perceived teacher support and academic procrastination (effect value: -0.07, 95% CI=-0.10--0.04), accounting for 22.58% of the total effect. Conclusion:Perceived teacher support can influence academic procrastination, not only through the direct path, but also through the indirect path of future orientation and academic engagement, as well as chain mediating path between these two variables.

Objective:To explore the relationship between mobile phone addiction and perceived stress, negative emotion, social support and psychological capital in college students, especially to clarify the internal mechanism of these variables.Methods:A total of 836 college students were investigated with mobile phone addiction index scale, positive psychological capital questionnaire, stress perception scale, positive and negative emotion scale and perceived social support scale.SPSS 22.0 software was used for correlation analysis and SPSS-PROCESS was used to analyze the mediating effect and moderating effect.Results:(1)The scores of psychological capital and perceived stress were(123.38±17.96)and(38.76±6.39)respectively, and the scores of negative emotion, social support and mobile phone addiction were(22.46±6.45), (63.36±12.40)and(39.31±10.01)respectively.Psychological capital was negatively correlated with perceived stress, negative emotion and mobile phone addiction( r=-0.66, -0.37, -0.28, all P<0.01).Perceived stress was positively correlated with negative emotion and mobile phone addiction( r=0.50, 0.38, both P<0.01).Social support was positively correlated with psychological capital( r=0.50, P<0.01), while negatively correlated with perceived stress, negative emotion and mobile phone addiction( r=-0.41, -0.30, -0.12, all P<0.01).(2)Psychological capital influenced mobile phone addiction by the mediating effect of perceived stress( β=-0.20, SE=0.03, 95% CI: -0.27--0.13).In addition, psychological capital influenced mobile phone addiction through the chain mediating effect of perceived stress and negative emotion( β=-0.04, SE=0.01, 95% CI: -0.06--0.01).Moreover, the mediating effect of psychological capital on stress perception was moderated by social support. Conclusion:Perceived stress and negative emotion are important mediations between psychological capital and mobile phone addiction.Social support can moderate the effect of psychological capital on perceived stress.

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.

To analyze the clinical presentation and the treatment process of one case of colchicine poisoning complicated with extra pontine myelinolysis and discuss its pathogenesis. Increasing the attention of hyponatremia caused by colchicine poisoning is of great significance for improving the prognosis and quality of life of patients.