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 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.
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.
Objective To investigate the effectiveness of knee arthroscopy with wire anchor nailing composite double pulley technique in the treatment of anterior cruciate ligament (ACL) tibial avulsion fracture involving the anterior root of the lateral meniscus (LM). Methods Clinical data of 35 patients with ACL tibial avulsion fracture involving the anterior root of the LM admitted between January 2019 and September 2023 and met the selection criteria were retrospectively analysed. There were 20 males and 15 females; ages ranged from 10 to 57 years, with a mean of 29 years. The time from injury to surgery ranged from 3 to 20 days, with a mean of 9.6 days. Meyers-McKeever classification included 5 cases of type Ⅱ, 12 cases of type Ⅲ, and 18 cases of type Ⅳ. Preoperative anterior knee instability Lachman test and anterior drawer test were positive. The anterior root of the LM as well as the avulsion fracture block were fixed using suture anchor nails compounded with double pulley technique under arthroscopy. Postoperative X-ray films were performed to assess fracture healing; knee stability was assessed using the anterior drawer test and Lachman test, anterior laxity of the knee was measured by KT-2000, and knee function was assessed using the Lysholm score and the International Knee Documentation Committee (IKDC) score; at last follow-up, the recovery of the meniscus was assessed using the McMurry test and knee hyperextension test. Results All the patients were successfully operated, the operation time ranged from 56 to 78 minutes,with an average of 67.6 minutes, and there was no nerve or blood vessel injury during operation. Thirty-five cases were followed up 12-18 months with an average of 15.1 months. During the follow-up, there was no infection, knee stiffness, loosening of internal fixation, fracture displacement, or re-fracture. The fractures all healed, with a clinical healing time of 8-15 weeks, averaging 10.9 weeks. At last follow-up, 4 patients had weakly positive anterior drawer test and Lachman test, and the rest were negative; McMurry test and knee hyperextension test were negative; no patient complained of knee extension pain or straightening obstacles, and all the patients resumed their normal life or sports and labour; 16 patients with unclosed epiphyses did not have any epiphyseal injuries or growth disorders. Lysholm score, IKDC score, and KT-2000 anterior knee laxity at last follow-up significantly improved when compared with preoperative ones (P<0.05). Conclusion The treatment of ACL tibial avulsion fracture involving the anterior root of the LM with suture anchor composite double pulley technique can effectively fix the anterior root of the LM while fixing the avulsion fracture block, and better restore the function and stability of the knee joint.
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.