ObjectiveTo preliminarily explore the active components and target pathways of Angelicae Sinensis Radix-Polygonati Rhizoma （ASR-PR） herb pair in the treatment of simple obesity through network pharmacology and molecular docking， and to verify and investigate its mechanism of action via animal experiments. MethodsThe chemical constituents and targets of ASR and PR were predicted using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）. Targets related to simple obesity were identified by retrieving the GeneCards， Online Mendelian Inheritance in Man （OMIM）， Pharmacogenomics Knowledgebase （PharmGKB）， and DisGeNET databases. The intersection of drug and disease targets was used to construct an active component-target network using Cytoscape software. This network was imported into the STRING database to construct a protein-protein interaction （PPI） network， and topological analysis was conducted to identify core genes. Gene Ontology （GO） analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis and mapping were performed using the DAVID database and the Microbioinformatics platform. AutoDock 1.5.7 software was used to perform molecular docking between the top five active components and core targets. An animal model of simple obesity was established by feeding C57BL/6J mice a high-fat diet. The mice were administered ASR （2.06 g·kg^-1）， PR （2.06 g·kg^-1）， or ASR-PR （4.11 g·kg^-1） for 10 weeks， while the model group received an equal volume of purified water by gavage. After the administration period， the mice were sacrificed to measure body fat weight and serum levels of total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein （HDL）， and low-density lipoprotein （LDL）. Hematoxylin-eosin （HE） staining was used to observe histopathological sections of liver and adipose tissue. Serum levels of leptin， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） were determined by enzyme-linked immunosorbent assay （ELISA）， and the mRNA expression levels of epidermal growth factor receptor （EGFR） and signal transducer and activator of transcription 3 （STAT3） in liver tissue were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsNetwork pharmacology and molecular docking results indicated that the treatment of simple obesity by ASR-PR may involve the regulation of protein expression of core targets EGFR and STAT3 by its main components MOL009760 （Siberian glycoside A_qt）， MOL003889 （methyl protodioscin_qt）， MOL009766 （resveratrol）， MOL006331 （4′，5-dihydroxyflavone）， and MOL004941 （baicalin）， thereby modulating the PI3K/Akt and JAK/STAT signaling pathways. The animal experiment results showed that compared with the normal group， the model group had significantly increased body weight， body fat weight， and serum levels of TG， TC， TNF-α， IL-6， and leptin （P<0.01）. EGFR mRNA expression was significantly elevated （P<0.05）， while STAT3 mRNA expression was significantly decreased （P<0.01）. Histological analysis revealed disordered hepatic architecture in the model group， with pronounced lipid vacuoles， cytoplasmic loosening， lipid accumulation， and steatosis. Adipocytes in white adipose tissue （WAT） and brown adipose tissue （BAT） of the model group exhibited markedly increased diameters， reduced cell counts per unit area， and irregular morphology. Compared with the model group， the ASR-PR group significantly reduced body weight， body fat weight， serum TC， IL-6， TNF-α， leptin levels， and EGFR mRNA expression （P<0.01）. TG levels were also significantly decreased （P<0.05）， while STAT3 mRNA expression was significantly increased （P<0.01）. Histopathological improvements included reduced size and number of hepatic lipid vacuoles and restoration of liver cell morphology toward that of the normal group. The diameter of adipocytes significantly decreased， and the number of adipocytes per unit area increased. ConclusionASR-PR may regulate the expression of key target proteins such as EGFR and STAT3 via its core active components， modulate the PI3K/Akt and JAK/STAT signaling pathways， repair damaged liver and adipose tissues， and thereby alleviate the progression of obesity in mice.

ObjectiveTo preliminarily explore the active components and target pathways of Angelicae Sinensis Radix-Polygonati Rhizoma （ASR-PR） herb pair in the treatment of simple obesity through network pharmacology and molecular docking， and to verify and investigate its mechanism of action via animal experiments. MethodsThe chemical constituents and targets of ASR and PR were predicted using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP）. Targets related to simple obesity were identified by retrieving the GeneCards， Online Mendelian Inheritance in Man （OMIM）， Pharmacogenomics Knowledgebase （PharmGKB）， and DisGeNET databases. The intersection of drug and disease targets was used to construct an active component-target network using Cytoscape software. This network was imported into the STRING database to construct a protein-protein interaction （PPI） network， and topological analysis was conducted to identify core genes. Gene Ontology （GO） analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis and mapping were performed using the DAVID database and the Microbioinformatics platform. AutoDock 1.5.7 software was used to perform molecular docking between the top five active components and core targets. An animal model of simple obesity was established by feeding C57BL/6J mice a high-fat diet. The mice were administered ASR （2.06 g·kg^-1）， PR （2.06 g·kg^-1）， or ASR-PR （4.11 g·kg^-1） for 10 weeks， while the model group received an equal volume of purified water by gavage. After the administration period， the mice were sacrificed to measure body fat weight and serum levels of total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein （HDL）， and low-density lipoprotein （LDL）. Hematoxylin-eosin （HE） staining was used to observe histopathological sections of liver and adipose tissue. Serum levels of leptin， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α） were determined by enzyme-linked immunosorbent assay （ELISA）， and the mRNA expression levels of epidermal growth factor receptor （EGFR） and signal transducer and activator of transcription 3 （STAT3） in liver tissue were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsNetwork pharmacology and molecular docking results indicated that the treatment of simple obesity by ASR-PR may involve the regulation of protein expression of core targets EGFR and STAT3 by its main components MOL009760 （Siberian glycoside A_qt）， MOL003889 （methyl protodioscin_qt）， MOL009766 （resveratrol）， MOL006331 （4′，5-dihydroxyflavone）， and MOL004941 （baicalin）， thereby modulating the PI3K/Akt and JAK/STAT signaling pathways. The animal experiment results showed that compared with the normal group， the model group had significantly increased body weight， body fat weight， and serum levels of TG， TC， TNF-α， IL-6， and leptin （P<0.01）. EGFR mRNA expression was significantly elevated （P<0.05）， while STAT3 mRNA expression was significantly decreased （P<0.01）. Histological analysis revealed disordered hepatic architecture in the model group， with pronounced lipid vacuoles， cytoplasmic loosening， lipid accumulation， and steatosis. Adipocytes in white adipose tissue （WAT） and brown adipose tissue （BAT） of the model group exhibited markedly increased diameters， reduced cell counts per unit area， and irregular morphology. Compared with the model group， the ASR-PR group significantly reduced body weight， body fat weight， serum TC， IL-6， TNF-α， leptin levels， and EGFR mRNA expression （P<0.01）. TG levels were also significantly decreased （P<0.05）， while STAT3 mRNA expression was significantly increased （P<0.01）. Histopathological improvements included reduced size and number of hepatic lipid vacuoles and restoration of liver cell morphology toward that of the normal group. The diameter of adipocytes significantly decreased， and the number of adipocytes per unit area increased. ConclusionASR-PR may regulate the expression of key target proteins such as EGFR and STAT3 via its core active components， modulate the PI3K/Akt and JAK/STAT signaling pathways， repair damaged liver and adipose tissues， and thereby alleviate the progression of obesity in mice.

Autoimmune diseases, cancers, and viral infections pose significant global health threats, characterized by chronic pathology, unregulated cellular proliferation, and rapid transmission, respectively, requiring urgent early warning and treatment strategies. Antibodies, primarily classified into autoantibodies and therapeutic antibodies based on their clinical roles, provide essential information and show considerable value in the precise diagnosis and treatment of these serious diseases. Among the technologies utilized in bioanalysis, electrochemical biosensors, with their unique advantages of rapid response, high sensitivity, miniaturization, cost-effectiveness and user-friendly operation, have been developed as a trending technology for precise diagnostic and therapeutic drug monitoring. This review systematically summarizes the relationships and roles of clinically relevant antibodies in autoimmune diseases, cancers, and viral infections, while detailing the composition, strategies, development, and application trends of relevant electrochemical biosensors. Furthermore, it highlights the remaining challenges and opportunities for the advancement and prospects of electrochemical sensors in the context of clinically relevant antibodies.

Objective To develop and validate a scoring system to predict the possibility of laparoscopic cholecystectomy (LC) conversion to laparotomy based on preoperative clinical data, and to establish a grading management model of surgery. Methods A retrospective analysis was conducted on the clinical data of 9 414 patients who underwent LC at Renhe Hospital and Huashan Hospital from June 2013 to June 2018. The patients were divided into two groups: the LC group (9 246 patients who successfully underwent LC) and the conversion to laparotomy group (168 patients who required conversion to open surgery). The data of two groups were compared, and the risk factors affecting conversion to laparotomy were screened out by single factor analysis of Chi-square test. Then, the risk factors were analyzed by multiple Logistic regression, and the pre-coefficient of each variable of the risk factors was assigned according to the established conversion to laparotomy possibility function. After calculating the score of each case, the difference in the actual conversion rate of each group was compared. The area under receiver operating characteristic (ROC) curve was calculated to evaluate the performance of the scoring system. According to the scoring system, LC surgical grading management model was created and verified. Results The following factors were identified as significant risk factors for conversion to laparotomy (P < 0.001): body temperature ≥ 38.5℃, frequency of acute cholecystitis ≥3 times, maximum thickness of gallbladder wall ≥ 5 mm, gallbladder neck stone incarceration, diameter of common bile duct ≥8 mm, and surgical experience ≤50 cases were the risk factors for conversion to laparotomy (P < 0.001). A score >3 points was associated with a high risk of conversion to laparotomy. Conclusions The LC scoring system and surgical grading management are reliable and effective tools for predicting and reducing the conversion rate of LC to laparotomy.

Objective·To develop physiologically based pharmacokinetic(PBPK)models specifically designed for the Chinese population by utilizing the combination of clozapine and fluvoxamine as a case,and predict the drug-drug interaction(DDI)associated with the combination medication of clozapine,ultimately optimizing the dosage of clozapine.Methods·By obtaining the physicochemical parameters,absorption,distribution,metabolism,excretion(ADME)-related parameters,and physiologically relevant parameters of the Chinese population through literature and pharmacology-related databases,PBPK models for the clozapine and fluvoxamine were constructed by using PK-Sim? software.The models' accuracy was evaluated by comparing predicted values of the area under the curve(AUC)and peak concentration(Cmax)to observed data,using the mean percentage error(MPE)and mean absolute percentage error(MAPE)as evaluation indicators.The models were validated against real-world plasma drug concentration data.Additionally,combining the inhibitory effect of fluvoxamine on clozapine,models for the combination therapy of clozapine and fluvoxamine were developed to predict the pharmacokinetic changes of clozapine.The presence of clinically significant DDI was determined by using the 90%confidence interval of the AUC ratio(AUCR)or Cmax ratio(CmaxR)as evaluation metrics,with a non-effect boundary set at 80%?125%.The pharmacokinetic changes of clozapine upon co-administration with fluvoxamine based on PBPK models were quantified,and a dosage optimization for clozapine was developed.Results·The constructed model of clozapine and fluvoxamine was considered accurate if the absolute value of the MPE was≤10%and the MAPE was<25%during validation,indicating that the predicted concentration-time curves were accurate.The PBPK model for the co-administration of clozapine and fluvoxamine was able to accurately predict pharmacokinetic parameters if the ratio of predicted AUC to observed AUC was within 1.25.The prediction of PBPK model for the co-administration showed that the 90%confidence intervals for AUCR and CmaxR of the combination therapy of clozapine and fluvoxamine were not entirely within the ineffective effect boundary,indicating a clinically significant DDI when these two drugs were used concomitantly.Moreover,the dose optimization according to the PBPK models indicated that when subjects were co-administered with clozapine and fluvoxamine,reducing the dose of clozapine to 50%of the original dose could maintain the exposure levels of clozapine consistent with monotherapy.Conclusion·The established PBPK model can effectively simulate the impact of combination therapy on pharmacokinetic changes of clozapine,providing valuable insights for predicting potential DDI and optimizing dosage regimens.If clozapine needs to be co-administered with fluvoxamine during the treatment,clinicians should remain vigilant for clinically significant DDI and contemplate optimizing the dosage of clozapine accordingly.

With the continuous advancement of healthcare informatization,medical data,closely related to people's health,has experienced explosive growth.On one hand,the interoperability of hospitals and the construction of smart hospitals have laid a solid foundation for the application of medical big data.On the other hand,the surge in data volume demands increas-ingly higher data processing capabilities.Effectively organizing and managing medical data across various stages—such as collec-tion,storage,governance,and service—using technologies like data mining,data governance,deep learning,and big data visu-alization has become an urgent need.This paper addresses existing hospital management issues by constructing a medical big data information platform,exploring its innovative applications in hospital management,and proposing future development suggestions for the platform.The aim is to enhance the digitalization of medical management and promote the application and development of big data technology in the healthcare field.

Objective:To summarize the clinical treatment of complete left bundle branch block (CLBBB) after the transcatheter closure of ventricular septal defect (VSD).Methods:A case series study was conducted on the treatments and outcomes of 25 children with CLBBB after transcatheter VSD closure in Guangdong Provincial People′s Hospital from January 2010 to December 2023.Paired sample t test was used to evaluate the effect of occlude removal. Results:Among the 25 patients, 12 were males (48%), and 13 were females (52%).The age at surgery was 3.18 (2.51-3.86) years, the height before surgery was 95.0 (90.0-97.5) cm, and the weight before surgery was 13 (12-15) kg.Fourteen children were early-onset cases (≤ 1 month), while the other 11 were late-onset cases (> 1 month).The mean follow-up time was (6.63±3.93) years.Of the 14 early-onset cases, 6 children underwent occluder removal within 1 month and restored normal heart rhythm or incomplete right bundle branch block; 4 children underwent occluder removal after 1 month, of whom 2 recovered, 1 remained CLBBB, and 1 had complete atrioventricular block (CAVB); the other 4 children received drug treatment, of whom 2 had normal heart rhythm, 1 had left anterior fascicular block, and 1 died of cardiac shock and heart failure.All the 11 late-onset cases were first treated by drugs, of whom 3 recovered, and the other 8 remained CLBBB.One of the 8 cases received occluder removal at 8 months after surgery and recovered, 1 had CAVB, and the other 6 remained CLBBB.Conclusions:For patients with CLBBB after transcatheter closure of VSD, drug therapy is not always effective, and CLBBB is easy to recur.Therefore, occluder removal is recommended to be done immediately after CLBBB is discovered.Patients with persistent CLBBB should be followed up regularly, and pacemaker implantation may be performed if necessary.

The biological clock(also known as the circadian rhythm)is the fundamental reliance for all organisms on Earth to adapt and survive in the Earth's rotation environment.Circadian rhythm is the most basic regulatory mechanism of life activities,and plays a key role in maintaining normal physiological and biochemical homeostasis,disease occurrence and treatment.Recent studies have shown that the biologi-cal clock plays an important role in the development of oral tissues and in the occurrence and treatment of oral diseases.Since there is cur-rently no guiding literature on the research methods of biological clock in stomatology,researchers mainly conduct research based on pub-lished references,which has led to controversy about the research methods of biological clock in stomatology,and there are many confusions about how to rationally apply the research methods of circadia rhythms.In view of this,this expert consensus summarizes the characteristics of the biological clock and analyzes the shortcomings of the current biological clock research in stomatology,and organizes relevant experts to summarize and recommend 10 principles as a reference for the rational implementation of the biological clock in stomatology research.

Objective To establish a method for detecting the 2019 novel coronavirus subgenomic RNA(sgRNA),and evaluate the performance of the established method.Methods Primers and probes were designed according to the subgenomic sequence of the 2019 novel coronavirus,and a reverse transcription PCR method for sgRNA detection was established.The established method was optimized,including the concentration and propor-tion of primers and probes,extension temperature,reaction volume and template amount.The performance of the method was evaluated,including the limit of detection,sensitivity,specificity and repeatability.sgRNA and genomic RNA(gRNA)were detected in clinical samples,and the results were analyzed.Results In this study,an RT-PCR method for the detection of sgRNA of the 2019 novel coronavirus was established.The limit of detection of this method was 100 copies/mL,and the detection results of common pathogens were negative.The CV of sgRNA in high,medium and low concentration samples were less than 5%.sgRNA was positive in 115 suspected 2019 novel coronavirus infected patients(115/330,34.85%).When the Ct value of gRNA-N was less than 30,the positive rate of sgRNA was 100.00%.When the Ct value of gRNA-N was in the range of 30-32,the positive rate of sgRNA was 68.75%.When the Ct value of gRNA-N was in the range of 32-35,the positive rate of sgRNA was 44.44%.When the Ct value of gRNA-N was greater than 35,the sgRNA was negative.Conclusion The RT-PCR method for the detection of sgRNA of the 2019 novel coronavirus was established,and the detection method was sensitive,specific and reproducible.

Objective Investigation of the expression and clinical significance of circular RNA hsa_circ_0003922 in endometrioid carcinoma(EEC).Methods Three EEC tissues and three normal endometrial tissues were selected for high-throughput molecular sequencing to identify specific circRNAs and related functional molecules.Additionally,36 EEC patients were selected as the experimental group,while 36 patients with benign uterine lesions served as the control group.The differentially expressed hsa_circ_0003922 was chosen as the research target,and its expression in EEC tissues and the control group was detected using real-time fluorescence quantitative PCR(RT-qPCR).The relationship between its expression level and clinical pathological features of EEC was analyzed.Furthermore,the miRNAs associated with hsa_circ_0003922 were predicted.The receiver operating characteristic(ROC)curve analysis was employed to evaluate the diagnostic value of hsa_circ_0003922 for EEC.Results The results of high-throughput molecular sequencing showed that there were 293 differentially expressed circRNAs in EEC tissues compared to the control group,including 115 upregulated and 178 downregulated circRNAs.RT-qPCR further revealed that the expression of hsa_circ_0003922 was significantly decreased in EEC tissues compared to the control group(P<0.05).The expression level of hsa_circ_0003922 was significantly negatively correlated with FIGO staging and histological grading of EEC(P<0.05).The area under the ROC curve(AUC)for hsa_circ_0003922 in distinguishing EEC patients from the control group was 0.7724(P<0.05).Conclusion The expres-sion of hsa_circ_0003922 is associated with FIGO staging and histological grading of EEC,indicating its potential as a reference index for auxiliary diagnosis,prognosis evaluation,and as a potential molecular target for adjuvant therapy in EEC.