Reconstruction of gene regulatory networks (GRNs) from large-scale expression data can mine the potential causality relationship among the genes and help understand the complex regulatory mechanisms. It is of utmost interest and has become a challenging computational problem for understanding the complex regulatory mechanisms in cellular systems. For the past decades, numerous theoretical and computational approaches have been introduced for inferring the GRNs. However, all existing methods of inferring GRNs from gene expression profiles have their strengths and weaknesses. In particular, many properties of GRNs, such as topology sparseness and non-linear dependence, are generally in regulation mechanism but are seldom taken into account simultaneously in one computational method. Some information theory algorithms do not recover the true positive edges that may have been deleted in an earlier computing process. These interaction relationships may reflect the actual relationship of genes. To overcome these disadvantages and to further enhance the precision and robustness of inferred GRNs, we presented an ensemble method, to infer GRNs from gene expression data by adopting two strategies of resampling and arithmetic mean fusion in this work. In this algorithm, the jackknife resampling procedure was first employed to form a series of sub-datasets of gene expression data, then the conditional mutual information was used to generate the corresponding sub-networks from the sub-datasets, and the final GRN was inferred by integrating these sub-networks with an arithmetic mean fusion strategy. Compared with those of the state-of-the-art algorithm on the benchmark synthetic GRNs datasets from the DREAM3 challenge and a real SOS DNA repair network, the results show that our method outperforms significantly LP, LASSO and ARANCE methods, and has a high and robust performance.
The morbidity and mortality of gallbladder cancer were rising. At present, there was no effective chemotherapy regimen, so it was of great practical significance to explore new therapy target. Ferroptosis is a non-apoptotic form of cell death characterized by iron-dependent lipid peroxidation and metabolic constraints. In recent years, it had become a research hotspot. Many studies had been carried out on the relevant biological mechanisms such as liver cancer, breast cancer, pancreatic cancer, and other cancer. At present, there are still few studies on ferroptosis in gallbladder cancer, and its relevant mechanisms need further in-depth analysis, which opens up a new research direction for exploring the treatment of gallbladder cancer.
In recent years, with the rapid development of machine learning techniques,the deep learning algorithm has been widely used in one-dimensional physiological signal processing. In this paper we used electroencephalography (EEG) signals based on deep belief network (DBN) model in open source frameworks of deep learning to identify emotional state (positive, negative and neutrals), then the results of DBN were compared with support vector machine (SVM). The EEG signals were collected from the subjects who were under different emotional stimuli, and DBN and SVM were adopted to identify the EEG signals with changes of different characteristics and different frequency bands. We found that the average accuracy of differential entropy (DE) feature by DBN is 89.12%±6.54%, which has a better performance than previous research based on the same data set. At the same time, the classification effects of DBN are better than the results from traditional SVM (the average classification accuracy of 84.2%±9.24%) and its accuracy and stability have a better trend. In three experiments with different time points, single subject can achieve the consistent results of classification by using DBN (the mean standard deviation is1.44%), and the experimental results show that the system has steady performance and good repeatability. According to our research, the characteristic of DE has a better classification result than other characteristics. Furthermore, the Beta band and the Gamma band in the emotional recognition model have higher classification accuracy. To sum up, the performances of classifiers have a promotion by using the deep learning algorithm, which has a reference for establishing a more accurate system of emotional recognition. Meanwhile, we can trace through the results of recognition to find out the brain regions and frequency band that are related to the emotions, which can help us to understand the emotional mechanism better. This study has a high academic value and practical significance, so further investigation still needs to be done.
ObjectiveTo investigate the short-term efficacy and safety of thoracoscopy-assisted epicardial radiofrequency ablation for atrial fibrillation (AF) and/or left atrial appendage exclusion (LAAE).MethodsThe clinical data of 12 patients with solitary AF admitted to Beijing Tiantan Hospital from November 2018 to August 2020 were retrospectively analyzed, including 7 males and 5 females, with an average age of 65.2±5.3 years. Of them, 2 had paroxysmal AF, 1 had persistent AF and 9 had permanent AF.ResultsNo patient died during hospitalization, 5 patients underwent radiofrequency ablation for AF and LAAE, and 6 received LAAE alone. The operation time was 293±70 min in radiofrequency ablation for AF+LAAE patients and 71±14 min in LAAE patients. Two patients restored sinus rhythm, two restored after electric cardioversion, and one remained AF in AF+LAAE patients. Postoperatively, 1 patient had pleural effusion and 1 had subcutaneous emphysema. No stroke was observed.ConclusionThoracoscopy-assisted radiofrequency ablation for AF and/or LAAE reduce the risk of procedure, and provide alternative approach to treat AF-associated diseases. However, large sample size studies using prospective cohort designs are required to corroborate the present findings.
ObjectiveTo compare the surgical effects of totally thoracoscopic and thoracoscopic-assisted small incision for left atrial appendage clipping. Methods The clinical data of patients who underwent left atrial appendage clipping surgery via totally thoracoscopy or thoracoscopic-assisted minimally invasive small incision from November 2018 to March 2022 in Beijing Tiantan Hospital were retrospectively analyzed. According to the surgical approach, they were divided into a totally thoracoscopic group and a small incision group. The clinical results were compared between the two groups. ResultsA totoal of 41 patients were enrolled, including 30 males and 11 females, with an average age of 66.6±6.1 years. There were 23 patients in the totally thoracoscopic group and 18 patients in the small incision group. The CHA2DS2-VASc score was 4.5±1.1 points, and HAS-BLED score was 3.7±1.5 points. No death occured in the whole group. There was no statistical difference between the two groups in terms of operation time, chest complications, successful rate of closure of the left atrial appendage, residual length of the left atrial appendage, or displacement of the atrial appendage clip (P>0.05). The total drainage volume in the totally thoracoscopic group was less than that in the small incision group, and the difference was statistically significant (P=0.031). The median follow-up time was 10 (1-30) months, during which there was 1 patient of stroke and 1 patient of left atrial thrombus in both groups. ConclusionTotally thoracoscopic left atrial appendage clipping is less invasive than thoracoscopic-assisted minimally invasive small incision surgery and does not increase the risk of surgical complications.
Objective To evaluate the efficacy and safety of anti-vascular endothelial growth factor (VEGF) agents for advanced renal cell carcinoma. Methods We searched MEDLINE, EMbase, The Cochrane Library, CBMdisc and China Academic Periodical database from the establishment of each database to April 2009. We included randomized controlled trials (RCTs) that evaluated anti-VEGF agents (sunitinib, sorafenib and bevacizumab). The quality of the included trials was evaluated by two reviewers independently. Meta-analyses were conducted by the Cochrane Collaboration’s RevMan 4.2 software. Results Four RCTs involving 2 320 patients were identified. According to the different interventions for advanced renal cell carcinoma, we divided the patients into two groups: anti-VEGF agents monotherapy and anti-VEGF agents plus interferon combination treatment. Our meta-analyses showed: monotherapy was superior to interferon on inhibition of tumor progression [OR=0.38, 95%CI (0.29, 0.51), Plt;0.01] and control of tumor [OR=2.53, 95%CI (1.87, 3.43), Plt;0.01], but was not significantly different from interferon on the overall effective rate [OR=1.97, 95%CI (0.20, 19.57), P=0.56] and serious side effects [OR=1.98, 95%CI (0.90, 4.34), P=0.09]. There were significant differences between anti-VEGF agents plus interferon and interferon alone on inhibition of tumor progression [OR=0.67, 95%CI (0.53, 0.84), P=0.000 5], overall effective rate [OR=2.65, 95%CI (1.94, 3.61), Plt;0.01], control of tumor [OR=2.14, 95%CI (1.65, 2.78), Plt;0.01] and serious side effects [OR=2.63, 95%CI (2.09, 3.31), Plt;0.01]. Conclusion Compared with interferon, anti-VEGF agents could inhibit tumor progression more effectively. Moreover, the combination therapy with interferon could offer a more favorable overall effective rate for advanced renal cell carcinoma, but then followed by more serious side effects. We need to weigh the merits and demerits of drugs before making a clinical decision for advanced renal cell carcinoma.
ObjectiveTo explore the effect of standardized multimodal analgesia (SMA) on opioid consumption after major upper abdominal surgery under enhanced recovery after surgery pathway. MethodsPatients who underwent major upper abdominal surgery in the West China Hospital of Sichuan University between August and November 2020 were included prospectively. The patients were divided into two groups: SMA group (n=175) and control group (n=632). The SMA was defined as preoperative and postoperative use of non-steroidal anti-inflammatory drugs, combined with regional anesthesia, local anesthetic wound infiltration or intrathecal opioid. The postoperative opioid consumption in oral morphine equivalents, the pain scores on movement and at rest, the postoperative rehabilitation were recorded and compared between the two groups. ResultsPatients in the SMA group had a lower opioid consumption during the first 72 h compared to patients in the control group (median: 51 mg vs. 85 mg, P<0.001). The pain scores on movement and at rest at 24, 48, 72 h after surgery in the SMA group were lower than those in the control group (P<0.05). Time to first flatus, time to first ambulation, postoperative hospital stay in the SMA group were significantly shorter than those in the control group (P<0.05), and the quality of life scores at 5 d after surgery increased significantly (P<0.05). The satisfaction with analgesia and the incidence of adverse effects on day 5 after surgery had no statistical significances between the two groups (P>0.05). After controlling for confounding factors, multiple linear regression analysis showed that SMA was associated with less opioid consumption on hour 72 after surgery (P<0.001). ConclusionSMA can reduce postoperative opioid consumption in patients undergoing major upper abdominal surgery.