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1.
Psychiatry Investigation ; : 385-391, 2021.
Article in English | WPRIM | ID: wpr-903233

ABSTRACT

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.

2.
Psychiatry Investigation ; : 385-391, 2021.
Article in English | WPRIM | ID: wpr-895529

ABSTRACT

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.

3.
Chinese Circulation Journal ; (12): 1210-1214, 2016.
Article in Chinese | WPRIM | ID: wpr-506855

ABSTRACT

Objective: To study the impact of vascular injury on neointimal hyperplasia and the expressions of nuclear transcription factor-κb (NF-κb), tissue factor (TF), endothelin-1 (ET-1) and matrix metalloproteinase-3 (MMP-3) in experimental rabbit model. Methods:A total of 32 male New Zealand big-eared white rabbits were used to establish vascular injury model by femoral artery puncture, balloon was sent to abdominal aorta via the wire followed by balloon dilatation to strain abdominal aorta. Blood sample was taken from femoral artery sheath 1 minute after operation, and the rabbits were killed at 4 weeks after operation, meanwhile blood sample was taken from the heart. Injured arteries were isolated, ifxed and embedded; slices were stained by HE, basic fuchsine and NF-κb immunohistochemical methods for light microscope observation; slices were also stained by lead and uranium for transmission electron microscope observation. Neointimal thickness was measured by computer analysis, vascular injury integral and NF-κb positive cell rate were determined, blood levels of TF, ET-1 and MMP-3 were examined by ELISA. The relationship between vascular injury integral and the contents of TF, ET-1, MMP-3 and NF-κb positive cell rate were analyzed by SPSS statistical software. Results: The optimal iftting curve between vascular injury integral and neointimal thickness was S-shaped cubic curve. NF-κb was mainly expressed in neointima, vascular injury integral was positively related to NF-κb positive cell percentage, Pearson correlation coeffcient was 0.916,P Conclusion: Vascular injury may activate NF-κb pathway, promote ET-1 and MMP-3 expression, therefore accelerating neointimal hyperplasia, leading negative vascular remodeling, TF was an initiating factor for neointimal hyperplasia. Internal elastic lamina was the key structure reflecting vascular injury, it is the only barrier hindering neointimal hyperplasia in experimental rabbit model.

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