The pedicle screw internal fixation system plays a crucial role in spinal surgery, with the advantage of enhancing spinal stability. However, potential complications such as internal fixation loosening and screw pullout still exist clinically. Currently, pullout of strength is commonly used to evaluate the short-term biomechanical properties of internal fixation, fatigue test is performed to evaluate the long-term biomechanical properties of internal fixation, and torque is used to evaluate the interaction between screws and spinal bone. Factors that influence the biomechanical properties of pedicle screws include spine-related factors (bone density) and screw-related factors (screw size, screw design, and screw augmentation materials). In bones with high bone density, pullout of strength is significantly increased, and fixation strength can also be improved by increasing screw diameter and length, improving screw design, and using screw augmentation materials. Biomechanical research on pedicle screw internal fixation provides key information for achieving individualized and functional optimal channel selection. Designing screw channels with optimal fixation strength is expected to reduce the risk of screw loosening and the occurrence of surgical complications, and improve surgical effects.

Objective:To compare the effects of high-power and conventional power atrial fibrillation ablation on intraoperative acute pulmonary vein isolation, postoperative troponin levels, and atrial fibrillation recurrence.Methods:A retrospective selection was conducted on 105 patients with paroxysmal atrial fibrillation admitted to the Baoding NO.1 Central Hospital from January 2017 to December 2020. According to different treatment methods, they were divided into a high-power ablation group of 52 cases and a conventional power ablation group of 53 cases. The intraoperative rate of single circle acute pulmonary vein isolation, the recovery of electrical conduction after acute pulmonary vein isolation, and the location and number of points that need to be added were compared between the two groups; At the same time, two groups were compared in terms of surgical time, ablation time, surgical radiation exposure time and radiation dose, intraoperative complications postoperative cardiac troponin levels at 12 hours, and recurrence of atrial fibrillation within 1 year after ablation.Results:The intraoperative single loop pulmonary vein isolation rate and postoperative troponin levels in the high-power atrial fibrillation ablation group were higher than those in the conventional atrial fibrillation ablation group (all P<0.05). The surgical time, ablation time, and the number of sites and points that need to be added during surgery were less than those in the conventional atrial fibrillation ablation group (all P<0.05). There was no statistically significant difference in the incidence of intraoperative complications and postoperative atrial fibrillation recurrence between the two groups (all P>0.05). Conclusions:High power atrial fibrillation ablation has a higher single loop acute pulmonary vein isolation rate, fewer patch sites and points, shorter surgical time, and greater ablation damage compared to conventional ablation, and the clinical efficacy of the two groups is similar after surgery.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

【Objective】 To perform pre-transfusion examination and major crossmatch test using CD47 anti-idiotypic antibody (CD47 AID) (method 1) and reagent lack of anti-IgG4 anti-human globulin(method 2) in patients treated with CD47 monoclonal antibodies, and evaluate the feasibility of method 1 by comparing the transfusion efficacy of patients after cross matching with two methods. 【Methods】 Post-drug samples were collected from 18 clinical subjects treated with CD47 monoclonal antibody in our hospital. Antibody screening and major crossmatch test were performed using method 1 and method 2, and the difference of ΔHb (post-transfusion Hb minus pre-transfusion Hb) was compared after transfusion. The differences in ΔHb after transfusion were analyzed between the test group using method 1 and the control group without CD47 monoclonal antibody using ordinary microcolumn gel method. 【Results】 There was no significant difference in ΔHb between the test group using method 1 and test group using method 2 (8.40±0.71 vs 7.36±0.94, P>0.05). No significant difference was noticed in ΔHb between the test group using method 1 and the control group without CD47 monoclonal antibody (8.40±0.71 vs 6.59±0.77, P>0.05). 【Conclusion】 In the test group, major crossmatch test with method 1 has the same transfusion efficacy as the test with method 2. Method 1 is simple and easy to operate, and the results are objective and accurate. It is recommended to use method 1 for pre-transfusion antibody screening and major crossmatch tests for patients using CD47 monoclonal antibody.

Ferroptosis is a form of cell death resulting from the disruption of iron metabolism within cells and excessive accumu-lation of lipid peroxides.Research indicates that,under the influence of various pathogenic factors,ferroptosis impacts the male repro-ductive system and fertility by affecting the synthesis of testicular hormones and regulation of cellular functions through different path-ways and numerators.This paper provides an overview of the action mechanisms of ferroptosis in the testis and its correlation with path-ogenicity,offering some new insights into the treatment of male reproductive system diseases.

As a traditional Chinese herb and functional food, the fruits of Lycium barbarum has been widely used for thousands of years in China. L. barbarum polysaccharides(LBPs) are predominant active components, which have immunomodulatory, antioxidant, hypoglycemic, neuroprotective, anti-tumor, and prebiotic activities. The molecular weight, monosaccharide composition, glycosidic bond, branching degree, protein content, chemical modification, and spatial structure of LBPs are closely related to their biological activity. Based on the previous studies of this research team, this paper systematically combed and integrated the research progress of structure, function, and structure-activity relationship of LBPs. At the same time, some problems restricting the clarification of the structure-activity relationship of LBPs were considered and prospected, hoping to provide references for the high value utilization of LBPs and in-depth exploration of their health value.
Lycium/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Structure-Activity Relationship ; Antioxidants/pharmacology* ; Antineoplastic Agents ; Polysaccharides/chemistry*

Humans ; Rectum/surgery* ; Liposarcoma/surgery* ; Biomarkers, Tumor

Objective: To analyze the expression levels of the F9 gene and F9 protein in hepatocellular carcinoma by combining multiple gene chip data, real-time fluorescence quantitative PCR (RT qPCR), and immunohistochemistry. Additionally, explore their correlation with the occurrence and development of hepatocellular carcinoma, as well as with various clinical indicators and prognosis. Methods: The mRNA microarray dataset from the GEO database was analyzed to identify the F9 gene with significant expression differences associated with hepatocellular carcinoma. Liver cancer and adjacent tissues were collected from 18 cases of hepatocellular carcinoma. RT-qPCR method was used to detect the F9 gene expression level. Immunohistochemistry was used to detect the F9 protein level. Combined with the TCGA database information, the correlation between F9 gene expression level and prognostic and clinicopathological parameters was analyzed. The biological function of F9 co-expressed genes associated with hepatocellular carcinoma was analyzed by the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Statistical analysis was performed using Graphpad Prism software. Results: Meta-analysis results showed that the expression of the F9 gene was lower in HCC tissues than in non-cancerous tissues. Immunohistochemistry results were basically consistent with those of RT-qPCR. The data obtained from TCGA showed that the F9 gene had lower expression values in stages III-IV, T3-T4, and patients with vascular invasion. A total of 127 genes were selected for bioinformatics analysis as co-expressed genes of F9, which were highly enriched in redox processes and metabolic pathways. Conclusion: This study validates that the F9 gene and F9 protein are lower in HCC. The down-regulation of the F9 gene predicts adverse outcomes, which may provide a new therapeutic target for HCC.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Down-Regulation ; Prognosis ; Gene Expression ; Gene Expression Regulation, Neoplastic

Humans ; Consensus ; Hypersensitivity ; Desensitization, Immunologic/adverse effects* ; Immunotherapy/adverse effects* ; Injections, Subcutaneous ; Allergens

Objective: To review the clinical data of 7 patients with Danon disease and analyze their clinical characteristics. Methods: The medical records of 7 patients with Danon disease, who were hospitalized in Peking Union Medical College Hospital of Chinese Academy of Medical Sciences from April 2008 to July 2021, were reviewed and summarized, of which 6 cases were diagnosed as Danon disease by lysosomal-associated membrane protein-2 (LAMP-2) gene mutation detection and 1 case was diagnosed by clinicopathological features. Clinical manifestations, biochemical indexes, electrocardiogram, echocardiography, skeletal muscle and myocardial biopsy and gene detection results were analyzed, and patients received clinical follow-up after discharge. Results: Six patients were male and average age was (15.4±3.5) years and the average follow-up time was (27.7±17.0) months. The main clinical manifestations were myocardial hypertrophy (6/7), decreased myodynamia (2/7) and poor academic performance (3/7). Electrocardiogram features included pre-excitation syndrome (6/7) and left ventricular hypertrophy (7/7). Echocardiography examination evidenced myocardial hypertrophy (6/7), and left ventricular dilatation and systolic dysfunction during the disease course (1/7). The results of skeletal muscle biopsy in 6 patients were consistent with autophagy vacuolar myopathy. Subendocardial myocardial biopsy was performed in 3 patients, and a large amount of glycogen deposition with autophagosome formation was found in cardiomyocytes. LAMP-2 gene was detected in 6 patients, and missense mutations were found in all these patients. During the follow-up period, implantable cardioverter defibrillator implantation was performed in 1 patient because of high atrioventricular block 4 years after diagnosis, and there was no death or hospitalization for cardiovascular events in the other patients. Conclusion: The main clinical manifestations of Danon disease are cardiomyopathy, myopathy and mental retardation. Pre-excitation syndrome is a common electrocardiographic manifestation. Autophagy vacuoles can be seen in skeletal muscle and myocardial pathological biopsies. LAMP-2 gene mutation analysis is helpful in the diagnose of this disease.
Adolescent ; Child ; Female ; Humans ; Male ; Cardiomyopathies/etiology* ; Glycogen Storage Disease Type IIb/complications* ; Hypertrophy, Left Ventricular/etiology* ; Lysosomal-Associated Membrane Protein 2/genetics* ; Pre-Excitation Syndromes/genetics*