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

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.

Objective To understand the current status of emergency vaccination of hemorrhagic fever with renal syndrome (HFRS) vaccine in Jingzhou, serological monitoring and the incidence of vaccinated population, and to evaluate the protective effect of emergency vaccination of HFRS vaccine on the control of HFRS epidemic in the city. Methods From 2018 to 2020, HFRS vaccination was carried out in Jianli City, Honghu City, Jiangling County, Gongan County and some townships in Shashi City, Jingzhou City, focusing on people aged 30-59 years old. The incidence of HFRS, vaccination history of cases and HFRS vaccination data of Jingzhou City were collected and analyzed by descriptive epidemiological methods. The sera of those who had not been vaccinated with HFRS vaccine (non-vaccinated group) and those who had been vaccinated with HFRS vaccine (vaccinated group) were collected for IgG antibody detection, and the serum IgG was detected by ELISA method. The correlation between the change in the number of cases in townships where people were vaccinated (comparison between 2017-2018 and 2020) and the vaccination rate before 2019 was analyzed. Results A total of 446 900 doses of HFRS vaccine were vaccinated from 2018 to 2020, covering 22 townships in 5 counties and cities, accounting for 17.19% (22/128) of the total number of townships in the city. A total of 120 953 people completed 3 doses of vaccination, accounting for 11.30% of the total population and 23.77% of the population aged 30-59 in the vaccinated township. The positive rate of IgG in the unvaccinated group in Jingzhou was 9.91% (85/858). The positive rate of IgG in the vaccination group was 40.96% (34/83). The positive rates of IgG in the 1-dose group, 2- dose group, and 3-dose group were 0 (0/2), 18.18% (6/33), and 58.33% (28/48), respectively. From 2017 to 2020, a total of 16 cases had been vaccinated with HFRS before the onset of the disease, and 81.25% (13/16) received 2 doses or less of HFRS vaccine. The changes in the number of cases was negatively correlated with the vaccination rate of the whole population in townships where people were vaccinated (r_s=-0.58, P=0.011). The changes in the number of cases was negatively correlated with the vaccination rate of people aged 30-59 years in townships where people were vaccinated (r_s=-0.46, P=0.055). Conclusion The HFRS vaccination before 2019 has played a certain protective effect on the vaccinated population. However, the inoculation rate of HFRS vaccine in Jingzhou City is still low, and the protective effect on the whole population has not yet appeared.

Objective To evaluate the inhibitory effects of infigratinib and its pharmacologically active metabolites,BHS697 and CQM157,on cytochrome P450(CYPs)and UDP-glucuronosyltransferases(UGTs)in rat liver microsomes.Methods By adopting in vitro incubation method,the tested compounds(infigratinib,BHS697 or CQM157)and rat liver microsomes were incubated with the specific probe substrates of CYP2B6,CYP2C8,CYP2C9,CYP2C19,CYP2D6,CYP3 A4,respectively,or the specific probe substrates of UGT1A1,UGT1A3,UGT1A6,UGT1A9,UGT2B7,respectively.The production of characteristic metabolites was detected by high performance liquid chromatography-tandem mass spectrometry.The half maximal inhibitory concentration(IC50)and inhibition constant(Ki)were calculated by GraphPad Prism 8.0.Results Infigratinib,BHS697 and CQM157 weakly inhibited CYP2B6,CYP2C8,CYP2C9,CYP2C19,CYP2D6,CYP3 A4 and UGT1A6,UGT2B7 in rat liver microsomes,with IC50 values all more than 10 μmol·L-1,and moderately inhibited UGT1Al with IC50 values of 2.70,3.17,7.43 μmol·L-,respectively.Infigratinib had a moderate inhibitory effect on UGT1A9 and CQM157 had a moderate inhibitory effect on UGTIA3,with IC50 values of 5.61 and 9.57 μmol·L-1,respectively.The reversible inhibition analysis showed that infigratinib,BHS697 and CQM157 all non-competitively inhibited UGTIA1,with Ki values of 1.83,2.51 and 5.84 μmol·L-1,respectively.Conclusion Infigratinib had moderate inhibitory effects on UGT1A1 and UGT1A9 in rat liver microsomes and its pharmacologically active metabolites,BHS697 and CQM157,also had moderate inhibitory effects on UGT1A1.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

The discoid meniscus is a common congenital meniscal malformation that is prevalent mainly in Asians and of-ten occurs in the lateral discoid meniscus.Patients with asymptomatic discoid meniscus are usually treated by conservative methods such as observation and injury avoidance,while patients with symptoms and tears need to be treated surgically.Arthroscopic saucerization combined with partial meniscectomy and meniscus repair is the most common surgical approach.,and early to mid-term reports are good.The prognostic factors are the patient's age at surgery、follow-up time and type of surgery.Some patients experience complications such as prolonged postoperative knee pain,early osteoarthritis,retears and Osteochondritis dissecans.The incidence of prolonged postoperative knee pain was higher and the incidence of Osteochondritis dissecans was the lowest.Retears of the lateral meniscus is the main reason for reoperation.

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.