Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Lymph node metastasis (LNM) is a crucial risk factor influencing an unfavorable prognosis in specific cancers. Fundamental research illuminates our understanding of tumor behavior and identifies valuable therapeutic targets. Nevertheless, the exploration of fundamental theories and the validation of clinical therapies hinge on preclinical experiments. Preclinical models, in this context, serve as the conduit connecting fundamental theories to clinical outcomes. In vivo models established in animals offer a valuable platform for comprehensively observing interactions between tumor cells and organisms. Using various experimental animals, including mice, diverse methods, such as carcinogen-induced tumorigenesis, tumor cell line or human tumor transplantation, genetic engineering, and humanization, have been used effectively to construct numerous models for tumor LNM. Carcinogen-induced models simulate the entire process of tumorigenesis and metastasis. Transplantation models, using human tumor cell lines or patient-derived tumors, offer a research platform closely mirroring the histology and clinical behavior of human tumors. Genetically engineered models have been used to delve into the mechanisms of primary tumorigenesis within an intact microenvironment. Humanized models are used to overcome barriers between human and murine immune systems. Beyond mouse models, various other animal models have unique advantages and limitations, all contributing to exploring LNM. This review summarizes existing in vitro and animal preclinical models, identifies current bottlenecks in preclinical research, and offers an outlook on forthcoming preclinical models.
Animals ; Humans ; Mice ; Lymphatic Metastasis/pathology* ; Disease Models, Animal ; Cell Line, Tumor

Objective To understand the respiratory protection competency of staff in hospitals.Methods Staff from six hospitals of different levels and characteristics in Beijing were selected,including doctors,nurses,medical technicians,and servicers,to conduct knowledge assessment on respiratory protection competency.According to exposure risks of respiratory infectious diseases,based on actual cases and daily work scenarios,content of respira-tory protection competency assessment was designed from three aspects:identification of respiratory infectious di-seases,transmission routes and corresponding protection requirements,as well as correct selection and use of masks.The assessment included 6,6,and 8 knowledge points respectively,with 20 knowledge points in total,all of which were choice questions.For multiple-choice questions,full marks,partial marks,and no mark were given respective-ly if all options were correct,partial options were correct and without incorrect options,and partial options were correct but with incorrect options.Difficulty and discrimination analyses on question of each knowledge point was conducted based on classical test theory.Results The respiratory protection competency knowledge assessment for 326 staff members at different risk levels in 6 hospitals showed that concerning the 20 knowledge points,more than 60％participants got full marks for 6 points,while the proportion of full marks for other questions was relatively low.Less than 10％participants got full marks for the following 5 knowledge points:types of airborne diseases,types of droplet-borne diseases,conventional measures for the prevention and control of healthcare-associated infec-tion with respiratory infectious diseases,indications for wearing respirators,and indications for wearing medical protective masks.Among the 20 knowledge questions,5,1,and 14 questions were relatively easy,medium,and difficult,respectively;6,1,4,and 9 questions were with discrimination levels of ≥0.4,0.30-0.39,0.20-0.29,and ≤0.19,respectively.Conclusion There is still much room for hospital staff to improve their respiratory protection competency,especially in the recognition of diseases with different transmission routes and the indications for wearing different types of masks.

Objective To investigate the implementation of surveillance,prevention and control measures for healthcare-associated infection(HAI)in maternal and child healthcare(MCH)institutions,and provide policy evi-dence for optimizing HAI prevention and control in MCH institutions.Methods Stratified sampling was conducted among the MCH institutions at provincial,municipal and county levels in 8 provinces/autonomous regions.A uni-fied questionnaire was designed and the online survey was conducted through"Questionnaire Star".Results The data from 123 MCH institutions were included in the analysis.90.24％of the MCH institutions carried out compre-hensive surveillance on HAI.The ratios of MCH institutions which implemented targeted surveillance on HAI in neonatal intensive care unit(NICU),surgical site infection,multidrug-resistant organisms(MDROs)and HAI in intensive care units(non-NICU excluded)were 89.66％,85.96％,80.77％,and 74.19％,respectively.51.22％MCH institutions adopted information surveillance system on HAI cases.94.31％MCH institutions carried out surveillance on hand hygiene compliance.Over 90％MCH institutions carried out surveillance on environment hy-giene in high-risk departments.71.54％MCH institutions conducted centralized cleaning,disinfection,sterilization and supply for reusable medical instruments in the central sterile supply department(CSSD).Over 90％MCH insti-tutions established three-level pre-examination triage systems.86.18％set up transitional wards.MCH institutions generally adopted a management model with established effective communication,full appointment visits,and sepa-rate visits for special medical groups,such as registered pregnant women,high-risk newborns,healthcare groups,and long-term rehabilitation patients.However,the ratio of institutions conducting on-line follow-up visits was less than 50％.Conclusion MCH institutions have generally carried out comprehensive and targeted surveillance on HAI.Information surveillance need to be facilitated.Hand hygiene and environmental hygiene surveillance has been popularized to a certain extent at all levels of MCH institutions.The cleaning,disinfection,sterilization,and supply processes of reusable medical devices in a few MCH institutions are not standardized.Special medical populations get effective management.On-line healthcare is to be further promoted.

ObjectiveTo elucidate the pharmacodynamic substances responsible for the anti-inflammatory and analgesic effects of Cyperi Rhizoma by structure-activity omics. MethodOn the basis of the previous in vitro efficacy study by our research group， this study explored the in vivo efficacy of the flavonoids in Cyperi Rhizoma. The flavonoids in Cyperi Rhizoma and their targets were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）， PharmMapper， Swiss TargetPrediction， and available articles. The targets of the anti-inflammatory and analgesic effects were collected from DisGeNET and Online Mendelian Inheritance in Man （OMIM）. The common targets shared by flavonoids and the effects were selected as the direct targets of flavonoids endowing Cyperi Rhizoma with anti-inflammatory and analgesic effects， and protein-protein interaction （PPI） network of the core targets was constructed. The method of structure-activity omics was employed to correlate the structure and efficacy of one or more classes of chemical components in Cyperi Rhizoma with the targets as a bridge. The components were classified according to structure. Molecular docking of components to core targets was carried out via SYBYL-X 2.1.1， PyMol， and Discovery Studio 4.5 visualizer. Two targets with the highest binding affinity were selected to explore the relationship between compound structures and targets. ResultThe flavonoids in Cyperi Rhizoma exerted anti-inflammatory and analgesic effects on the mouse model of pain induced by formaldehyde. Eighteen components and 115 direct targets were screened out， and the core targets with high activities were protein kinase B1 （Akt1）， interleukin-1β （IL-1β）， cellular tumor antigen p53 （TP53）， prostaglandin-endoperoxide synthase 2 （PTGS2）， and matrix metalloproteinase-9 （MMP-9）. According to the structures， the flavonoids in Cyperi Rhizoma were classified into bioflavonoids， flavonols， flavones， and flavanes. The molecular docking results showed that flavonoids of Cyperi Rhizoma had the highest binding affinity to TP53 and PTGS2. The results of structure-activity omics showed that bioflavonoids represented the best binding structure to the targets， while their polyhydroxyl etherification resulted in a significant decrease in the binding affinity to PTGS2. Glycosides had higher binding affinity to PTGS2. The introduction of the long-chain hydrocarbon group to the A ring of flavonols facilitated the binding to TP53， while the change of B ring substituents was not the main factor affecting the binding affinity. The 3，4-dihydroxyl flavane outperformed 3-hydroxyl flavane in the binding to TP53， while the two compounds showed similar binding affinity to PTGS2. ConclusionThe method of structure-activity omics was used to analyze the material basis for the anti-inflammatory and analgesic effects of flavonoids in Cyperi Rhizoma. Structure-activity omics provides new ideas for revealing the pharmacodynamic substances of traditional Chinese medicine.

Humans ; Gastrointestinal Microbiome ; Constipation/therapy* ; Probiotics/therapeutic use* ; Patients

Objective:To investigate the current status of endoscopic treatment for gastroesophageal varices in portal hypertension in China, and to provide supporting data and reference for the development of endoscopic treatment.Methods:In this study, initiated by the Liver Health Consortium in China (CHESS), a questionnaire was designed and distributed online to investigate the basic condition of endoscopic treatment for gastroesophageal varices in portal hypertension in 2022 in China. Questions included annual number and indication of endoscopic procedures, adherence to guideline for preventing esophagogastric variceal bleeding (EGVB), management and timing of emergent EGVB, management of gastric and isolated varices, and improvement of endoscopic treatment. Proportions of hospitals concerning therapeutic choices to all participant hospitals were calculated. Guideline adherence between secondary and tertiary hospitals were compared by using Chi-square test.Results:A total of 836 hospitals from 31 provinces (anotomous regions and municipalities) participated in the survey. According to the survey, the control of acute EGVB (49.3%, 412/836) and the prevention of recurrent bleeding (38.3%, 320/836) were major indications of endoscopic treatment. For primary [non-selective β-blocker (NSBB) or endoscopic therapies] and secondary prophylaxis (NSBB and endoscopic therapies) of EGVB, adherence to domestic guideline was 72.5% (606/836) and 39.2% (328/836), respectively. There were significant differences in the adherence between secondary and tertiary hospitals in primary prophylaxis of EGVB [71.0% (495/697) VS 79.9% (111/139), χ2=4.11, P=0.033] and secondary prophylaxis of EGVB [41.6% (290/697) VS 27.3% (38/139), χ2=9.31, P=0.002]. A total of 78.2% (654/836) hospitals preferred endoscopic therapies treating acute EGVB, and endoscopic therapy was more likely to be the first choice for treating acute EGVB in tertiary hospitals (82.6%, 576/697) than secondary hospitals [56.1% (78/139), χ2=46.33, P<0.001]. The optimal timing was usually within 12 hours (48.5%, 317/654) and 12-24 hours (36.9%, 241/654) after the bleeding. Regarding the management of gastroesophageal varices type 2 and isolated gastric varices type 1, most hospitals used cyanoacrylate injection in combination with sclerotherapy [48.2% (403/836) and 29.9% (250/836), respectively], but substantial proportions of hospitals preferred clip-assisted therapies [12.4% (104/836) and 26.4% (221/836), respectively]. Improving the skills of endoscopic doctors (84.2%, 704/836), and enhancing the precision of pre-procedure evaluation and quality of multidisciplinary team (78.9%, 660/836) were considered urgent needs in the development of endoscopic treatment. Conclusion:A variety of endoscopic treatments for gastroesophageal varices in portal hypertension are implemented nationwide. Participant hospitals are active to perform emergent endoscopy for acute EGVB, but are inadequate in following recommendations regarding primary and secondary prophylaxis of EGVB. Moreover, the selection of endoscopic procedures for gastric varices differs greatly among hospitals.

Objective:To identify the risk factors for prolonged length of stay in post-anesthesia care unit (PACU-LOS) and development of a prediction model in the patients undergoing radical esophagectomy.Methods:The medical records from patients of both sexes, aged 40-80 yr, of American Society of Anesthesiologists Physical Status classificationⅠ-Ⅲ, transferred to PACU with tracheal intubation after radical esophagectomy under general anesthesia in our hospital from January 2019 to December 2020, were retrospectively collected. The patient′s age, gender, American Society of Anesthesiologists Physical Status classification, smoking history, drinking history, history of non-thoracic surgery, history of hypertension, history of diabetes mellitus, preoperative anemia, respiratory diseases, doses of anesthetics, preoperative nerve block, intraoperative consumption of opioids and dexmedetomidine, operation method (thoracotomy and endoscopic surgery), operation time, usage of vascular drugs, bradycardia, hypotension, red blood cell infusion, plasma infusion, total infusion volume, blood loss and urine volume were collected. The extubation time in PACU, visual analog scale scores at rest at 10 min after extubation, consumption of rescue analgesics in PACU, hypoxemia after extubation, and occurrence of nausea and vomiting were also collected. Patients were divided into PACU-LOS normal group (PACU-LOS≤2 h) and PACU-LOS prolonged group (PACU-LOS>2 h) according to the PACU-LOS. Logistic regression analysis was used to identity the risk factors for prolonged PACU-LOS in the patients undergoing radical esophagectomy, and the predictive model was established and verified. The receiver operating characteristic curves were used to evaluate the model discrimination and Hosmer-Lemshow goodness-of-fit test was used to evaluate the consistency of the model.Results:A total of 943 patients were included in this study, and the incidence of prolonged PACU-LOS was 15.7%. The results of logistic regression analysis showed that chronic obstructive pulmonary disease ( OR=4.900, 95% confidence interval [ CI] 2.512-9.556), increasing age ( OR=22.154, 95% CI 6.736-73.003), prolonged time of extubation ( OR=1.214, 95% CI 1.174-1.256) and hypoxemia after extubation ( OR=4.891, 95% CI 2.167-11.039) were risk factors for prolonged PACU-LOS, and the preoperative use of nerve block ( OR=0.358, 95% CI 0.190-0.672) was a protective factor for prolonged PACU-LOS in the patients undergoing radical esophagectomy ( P<0.05). The area under the receiver operating characteristic curve (95% CI) was 0.947 (0.925-0.963), the sensitivity was 0.878, and the specificity was 0.906. The internal validation of the prediction model was carried out using the receiver operating characteristic curve in the validation set, and the area under the curve (95% CI) was 0.942 (0.895-0.942, P<0.001) and the Youden index was 0.784. The line chart prediction model was developed. The prediction analysis model was verified by Hosmer-Lemshow test, P<0.001, and the C-index visualized line chart prediction model was 0.946. Conclusions:Preoperative chronic obstructive pulmonary disease, increasing age, prolonged time of extubation and hypoxemia after extubation are risk factors for prolonged PACU-LOS, and preoperative use of nerve block is a protective factor for prolonged PACU-LOS. The risk prediction model developed can effectively predict the occurrence of prolonged PACU-LOS in the patients undergoing radical esophagectomy.