Objective To evaluate the efficacy of ultrasound-guided great auricular nerve (GAN)block combined with general anesthesia for middle ear microsurgery in adult patients.Methods Sixty-four adult patients of both sexes,aged 18-60 yr,of American Society of Anesthesiologists physical status Ⅰ or Ⅱ,scheduled for elective middle ear microsurgery,were assigned into 2 groups (n =32 each) using a random number tabte:GAN block combined with general anesthesia group (group GANB+G) and general anesthesia group (group G).Patients received GAN block with 0.25％ ropivacaine 2 ml using ultrasoundguided in-plane technique before anesthesia induction in group GANB+G.Anesthesia induction and maintenance protocols (IV infusion of propofol and target-controlled infusion of remifentanil) were similar in two groups.Analgesia was performed with sufentanil,flurbiprofen axetil or parecoxib sodium after operation to maintain visual analog scale score ＜4 within 48 h after operation.The infusion duration and consumption of propofol and remifentanil,requirement for postoperative analgesia and occurrence of postoperative nausea and vomiting were recorded.Results Compared with group G,the consumption of remifentanil was significantly reduced,and the requirement for postoperative analgesia and incidence of postoperative nausea and vomiting were decreased in group GANB + G (P ＜ 0.05 or 0.01).Conclusion Ultrasound-guided GAN block combined with general anesthesia provides better analgesic efficacy in the the perioperative period in adult patients undergoing middle ear microsurgery.

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.

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.