Neural prosthesis control system is based on brain-computer interface and functional electrical stimulation technology, by an-alyzing the electroencephalograph control commands directly into the muscle system or an external device, which compensated efferent pathway from the brain-spinal cord, and recovered motor function of patients with cervical spinal cord injury. This paper described the basic structure, working principle and key technology of neural prosthetic system, summarized the application, problems and prospects of neural prosthetic technology in the rehabilitation of cervical spinal cord injury.

AIM To provide toxicokinetics data for toxicity studies of repeated doses of sodium 9-[2-(phosphonomethoxy) ethyl] adenine (PMEA-Na). METHODS The concentrations of PMEA-Na in plasma and urine were determined by HPLC/MS/MS method after single and multiple iv administrations in dogs. Data were executed by the statistical moment method to acquire the toxicokinetics parameters. Serum biochemical tests and histopathological examination were performed. RESULTS The system exposure of PMEA-Na in dogs was dose-dependent over the dose range of 1.0-6.0 mg·kg-1. The areas under the plasma concentration-time curve of PMEA-Na after single and multiple iv administrations at 1.0, 3.0 and 6.0 mg·kg-1 dosage were (2.3±0.5), (8.4±1.6), (17.5±3.7) and (5.0±0.4), (15.9±3.2), (30.3±4.7)mg·L-1·h, respectively. The urinary excretion of PMEA-Na in 72 h after iv administration was (87.0±4.8)% at the dose of 3.0 mg·kg-1. In 6.0 mg·kg-1 dose group, liver enzyme activity of glutamic-pyruvic transaminase and serum levels of total bilirubin, blood urea nitrogen, creatinine and triglycerides were all significantly elevated; glucose level significantly decreased comparing with the control group. Histopathological observation showed distinct pathological changes in liver and kidney tissues of 6.0 mg·kg-1 dose group. CONCLUSION There was evidence of toxicity after repeated-dose (14 d) of PMEA-Na in dogs and the major toxicity target organs were the kidney and liver.

Objective:To establish the acute symptomatic osteoporotic thoracolumbar fracture (ASOTLF) classification system, and to examine the reliability and evaluate the effect of clinical application.Methods:A retrospective case series study was conducted to analyze the clinical data of 1 293 patients with osteoporotic thoracolumbar fracture(OTLF) admitted to Honghui Hospital from January 2016 to December 2018. There were 514 males and 779 females, aged 57-90 years [(71.4±6.3)years]. The T value of bone mass density was -5.0--2.5 SD [(-3.1±-0.4)SD]. According to the clinical symptoms a and fracture morphology, OTLF was divided into 4 types, namely type I(I occult fracture), type II(compressed fracture), type III (burst fracture) and type IV(unstable fracture). The type II was subdivided into three subtypes (type IIA, IIB, IIC), and the Type III into two subtypes (type IIIA, IIIB). of all patients, 75 patients (5.8%) were with type I, 500 (38.7%) with type II A, 134 (10.4%) with type IIB, 97 (7.5%) with type IIC, 442 (34.2%) with type IIIA, 27(2.1%) with type IIIB and 18 (1.4%) with type IV. After testing the validity of the classification, different treatment methods were utilized according to the classification, including percutaneous vertebroplasty (PVP) for Type I, PVP after postural reduction for Type II, percutaneous kyphoplasty (PKP) for Type IIIA, posterior reduction and decompression, bone graft fusion and bone cement-augmented screw fixation for Type IIIB, and posterior reduction, bone graft fusion and bone cement-augmented screw fixation for Type IV. The visual analog score (VAS), Oswestry disability index (ODI), Frankel grade of spinal cord injury, local Cobb Angle, and vertebral body angle (vertebral body angle) were recorded in all patients and in each type of patients before surgery, at 1 month after surgery and at the last follow-up. The neurological function recovery and complications were also recorded.Results:The patients were followed up for 24-43 months [(29.9±5.1)months]. A total of 3 000 assessments in two rounds were conducted by three observers. The overall κ value of inter-observer credibility was 0.83, and the overall κ value of intra-observer credibility was 0.88. The VAS and ODI of all patients were (5.8±0.7)points and 72.5±6.6 before surgery, (1.8±0.6)points and 25.0±6.3 at 1 month after surgery, and (1.5±0.6)points and 19.5±6.2 at the last follow-up, respectively (all P<0.05). The Cobb angle and vertebral body angle of all patients were (13.0±9.1)° and (8.0±4.6)° before surgery, (7.9±5.2)° and (4.6±2.9)° at 1 month after surgery, and (9.1±6.0)° and (5.8±3.0)° at the last follow-up, respectively (all P<0.05). At the last follow-up, VAS, ODI, Cobb Angle and VBA of each type of patients were significantly improved compared with those before surgery (all P<0.05). The spinal cord compression symptoms were found 1 patient with type IV and 5 patients with type IIIB preoperatively. At the last follow-up, neurological function improved from grade C to grade E in 1 patient and from grade D to grade E in 5 patients ( P<0.05). The lower limb radiation pain or numbness in 3 patients with type IV and 22 patients with type III preoperatively were fully recovered after surgical treatment at the last follow-up except for three patients. Conclusions:The ASOTLF classification is established and has high consistency and reliability. The classification-oriented treatment strategy has achieved a relatively satisfactory effect, indicating that the classification has a certain guiding significance for treatment of OTLF.

【Objective】 To select and identify miRNA signatures to predict TMB level in gastric cancer based on The Cancer Genome Atlas (TCGA) database and machine learning methods. 【Methods】 MiRNA expression and somatic mutation profiles of gastric cancer (GC) were downloaded from TCGA database. R "limma" package was performed to select differentially expressed miRNAs between high-TMB and low-TMB groups. Two machine learning algorisms, random forest (RF), and Support Vector Machine-Recursive Feature Elimination were utilized to identify miRNAs with the highest discriminative ability. ROC was used to test the predictive ability of these signatures in multiple datasets. Besides, immune cells of different TMB levels were compared by the CIBERSORT method. 【Results】 A total of 56 differentially expressed miRNAs (DE-miRNAs) were filtered. Functional enrichment analysis showed that these DE miRNAs are mainly enriched in signaling pathways related to tumor occurrence and development as well as immunity-related biological processes. The RF and SVM-RFE algorithms jointly identified 10 diagnostic features of miRNAs, among which only hsa-miR-210-3p is considered the most relevant predictive biomarker for TMB classification. The AUC value of hsa-miR-210-3p in the training, testing, and total sets is 0.822, 0.721, and 0.793, respectively, and has been validated in other cancer types. Besides, CIBERSORT analysis suggests differences in immune cell infiltration between high- and low-TMB groups. Meanwhile, there is a significant positive correlation between the expression of immune checkpoint related genes and mismatch repair related genes and hsa-miR-210-3p. 【Conclusion】 This study successfully identified hsa-miR-210-3p as a predictive biomarker for TMB classification, which can effectively predict TMB values in gastric cancer and other cancer patients and may provide some guidance for immunotherapy.

Single-cell RNA sequencing(scRNA-seq)has become a routinely used technique to quan-tify the gene expression profile of thousands of single cells simultaneously.Analysis of scRNA-seq data plays an important role in the study of cell states and phenotypes,and has helped elucidate biological processes,such as those occurring during the development of complex organisms,and improved our understanding of disease states,such as cancer,diabetes,and coronavirus disease 2019(COVID-19).Deep learning,a recent advance of artificial intelligence that has been used to address many problems involving large datasets,has also emerged as a promising tool for scRNA-seq data analysis,as it has a capacity to extract informative and compact features from noisy,heterogeneous,and high-dimensional scRNA-seq data to improve downstream analysis.The present review aims at surveying recently developed deep learning techniques in scRNA-seq data analysis,identifying key steps within the scRNA-seq data analysis pipeline that have been advanced by deep learning,and explaining the benefits of deep learning over more conventional analytic tools.Finally,we summarize the challenges in current deep learning approaches faced within scRNA-seq data and discuss potential directions for improvements in deep learning algo-rithms for scRNA-seq data analysis.

Objective:To analyze the incidence and epidemiological characteristics of traumatic spinal cord injury in China in 2018.Methods:Multi-stage stratified cluster sampling was used to randomly select hospitals capable of treating patients with spinal cord injury from 3 regions，9 provinces and 27 cities in China to retrospectively investigate eligible patients with traumatic spinal cord injury admitted in 2018. National and regional incidence rates were calculated. The data of cause of injury，injury level，severity of injury，segment and type of fracture，complications，death and other data were collected by medical record questionnaire，and analyzed according to geographical region，age and gender.Results:Medical records of 4，134 patients were included in this study，with a male-to-female ratio of 2.99∶1. The incidence of traumatic spinal cord injury in China in 2018 was 50.484 / 1 million （95% CI 50.122-50.846）. The highest incidence in the Eastern region was 53.791 / 1 million （95% CI 53.217-54.365）. In the whole country，the main causes of injury were high falls （29.58%），as well as in the Western region （40.68%），while the main causes of injury in the Eastern and Central regions were traffic injuries （31.22%，30.10%）. The main injury level was cervical spinal cord in the whole country （64.49%），and the proportion of cervical spinal cord injury in the Central region was the highest （74.68%），and the proportion of lumbosacral spinal cord injury in the Western region was the highest （32.30%）. The highest proportion of degree of injury was incomplete quadriplegia （55.20%），and the distribution pattern was the same in each region. A total of 65.87% of the patients were complicated with fracture or dislocation，77.95% in the Western region and only 54.77% in the Central region. In the whole country，the head was the main combined injury （37.87%），as well as in the Eastern and Central regions，while the proportion of chest combined injury in the Western region was the highest （38.57%）. A total of 32.90% of the patients were complicated with respiratory complications. There were 23 patients （0.56%） died in hospital，of which 17（73.91%） died of respiratory dysfunction. Conclusions:The Eastern region of China has a high incidence of traumatic spinal cord injury. Other epidemiological features include high fall as the main cause of injury cervical spinal cord injury as the main injury level，incomplete quadriplegia as the main degree of injury，head as the main combined injury，and respiratory complications as the main complication.

Background::Although overnight fasting is recommended prior to endoscopic retrograde cholangiopancreatography (ERCP), the benefits and safety of high-carbohydrate fluid diet (CFD) intake 2 h before ERCP remain unclear. This study aimed to analyze whether high-CFD intake 2 h before ERCP can be safe and accelerate patients’ recovery.Methods::This prospective, multicenter, randomized controlled trial involved 15 tertiary ERCP centers. A total of 1330 patients were randomized into CFD group ( n = 665) and fasting group ( n = 665). The CFD group received 400 mL of maltodextrin orally 2 h before ERCP, while the control group abstained from food/water overnight (>6 h) before ERCP. All ERCP procedures were performed using deep sedation with intravenous propofol. The investigators were blinded but not the patients. The primary outcomes included postoperative fatigue and abdominal pain score, and the secondary outcomes included complications and changes in metabolic indicators. The outcomes were analyzed according to a modified intention-to-treat principle. Results::The post-ERCP fatigue scores were significantly lower at 4 h (4.1 ± 2.6 vs. 4.8 ± 2.8, t = 4.23, P <0.001) and 20 h (2.4 ± 2.1 vs. 3.4 ± 2.4, t= 7.94, P <0.001) in the CFD group, with least-squares mean differences of 0.48 (95% confidence interval [CI]: 0.26–0.71, P <0.001) and 0.76 (95% CI: 0.57–0.95, P <0.001), respectively. The 4-h pain scores (2.1 ± 1.7 vs. 2.2 ± 1.7, t = 2.60, P = 0.009, with a least-squares mean difference of 0.21 [95% CI: 0.05–0.37]) and positive urine ketone levels (7.7% [39/509] vs. 15.4% [82/533], χ2 = 15.13, P <0.001) were lower in the CFD group. The CFD group had significantly less cholangitis (2.1% [13/634] vs. 4.0% [26/658], χ2 = 3.99, P = 0.046) but not pancreatitis (5.5% [35/634] vs. 6.5% [43/658], χ2 = 0.59, P = 0.444). Subgroup analysis revealed that CFD reduced the incidence of complications in patients with native papilla (odds ratio [OR]: 0.61, 95% CI: 0.39–0.95, P = 0.028) in the multivariable models. Conclusion::Ingesting 400 mL of CFD 2 h before ERCP is safe, with a reduction in post-ERCP fatigue, abdominal pain, and cholangitis during recovery.Trail Registration::ClinicalTrials.gov, No. NCT03075280.

During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.