Résumé
ObjectiveTo explore the mediating effect of rumination on the relationship between insomnia and suicidal ideation in adolescents with depressive disorder， so as to provide guidance for the preventions of suicidal ideation. MethodsA total of 302 adolescents with major depressive disorder in Department of Psychosomatic Medicine of Deyang People's Hospital from January to December 2020 and met the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） clinical significance criterion for depressive disorder were enrolled. All individuals were assessed using Insomnia Severity Index （ISI）， Ruminative Response Scale （RRS） and Positive and Negative Suicide Ideation （PANSI）. Then the mediating effect of rumination in the relation between insomnia and suicidal ideation in adolescents with major depression disorder was analyzed using Process v3.2 model 4， and testified with the bias-corrected non-parametric percentile Bootstrap method. ResultsISI scores in adolescents with major depression disorder were positively correlated with PANSI score （r=0.400， P<0.01）， and were positively correlated with RRS total score， obsessive thinking and introspection factor score （r=0.378， 0.360， 0.333， P<0.01）. RRS score was also positively correlated with PANSI score （r=0.292， P<0.01）. Rumination exerted a partial mediating effect on the relationship between insomnia and suicidal ideation （β=0.174， 95% CI： 0.098~0.261）. ConclusionThe relationship between insomnia and suicidal ideation in adolescents with depressive disorder is partially mediated by rumination， additionally， insomnia can affect suicidal ideation in adolescents with depressive disorder both directly and indirectly through rumination.
Résumé
Objective@#Schizophrenia (SCZ) is one of the most common and severe mental disorders. Modified electroconvulsive therapy (MECT) is the most effective therapy for all kinds of SCZ, and the underlying molecular mechanism remains unclear. This study is aim to detect the molecule mechanism by constructing the transcriptome dataset from SCZ patients treated with MECT and health controls (HCs). @*Methods@#Transcriptome sequencing was performed on blood samples of 8 SCZ (BECT: before MECT; AECT: after MECT) and 8 HCs, weighted gene co-expression network analysis (WGCNA) was used to cluster the different expression genes, enrichment and protein-protein interaction (PPI) enrichment analysis were used to detect the related pathways. @*Results@#Three gene modules (black, blue and turquoise) were significantly associated with MECT, enrichment analysis found that the long-term potentiation pathway was associated with MECT. PPI enrichment p-value of black, blue, turquoise module are 0.00127, <1×10-16 and 1.09×10-13, respectively. At the same time, EP300 is a key node in the PPI for genes in black module, which got from the transcriptome sequencing data. @*Conclusion@#It is suggested that the long-term potentiation pathways were associated with biological mechanism of MECT.
Résumé
Objective@#Schizophrenia (SCZ) is one of the most common and severe mental disorders. Modified electroconvulsive therapy (MECT) is the most effective therapy for all kinds of SCZ, and the underlying molecular mechanism remains unclear. This study is aim to detect the molecule mechanism by constructing the transcriptome dataset from SCZ patients treated with MECT and health controls (HCs). @*Methods@#Transcriptome sequencing was performed on blood samples of 8 SCZ (BECT: before MECT; AECT: after MECT) and 8 HCs, weighted gene co-expression network analysis (WGCNA) was used to cluster the different expression genes, enrichment and protein-protein interaction (PPI) enrichment analysis were used to detect the related pathways. @*Results@#Three gene modules (black, blue and turquoise) were significantly associated with MECT, enrichment analysis found that the long-term potentiation pathway was associated with MECT. PPI enrichment p-value of black, blue, turquoise module are 0.00127, <1×10-16 and 1.09×10-13, respectively. At the same time, EP300 is a key node in the PPI for genes in black module, which got from the transcriptome sequencing data. @*Conclusion@#It is suggested that the long-term potentiation pathways were associated with biological mechanism of MECT.