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.

ObjectiveThe potential suitable area for ecological planting， key ecological factors， and suitable range of Polygonatum odoratum in China were analyzed to provide theoretical and scientific guidance for the artificial planting of P. odoratum. MethodA total of 454 geographical distribution records of P. odoratum in China and 118 ecological factors were used in this study. The maximum entropy model （MaxEnt） was adopted to predict the suitable areas of P. odoratum. The key ecological factors and their suitable ranges were analyzed by the jackknife method， contribution rates of ecological factors， and response curves. ResultThe suitable areas of P. odoratum were mainly located in the northwest， north， and northeast of China， the highly suitable areas of which were concentrated in Shaanxi， Shanxi， Gansu， etc. Solar radiation in November （Srad11）， precipitation in July （Prec7）， percentage of evergreen/deciduous needleleaf trees （Class1）， silt content （2-50 μm） mass fraction （SLTPPT）， and annual average temperature （Bio1） were found to be the key ecological factors affecting the suitable distribution of P. odoratum in China. The cumulative contribution rate of solar radiation factors （31.29%）>vegetation factors （25.61%）>soil factors （19.52%）>precipitation factors （11.38%）>temperature factors （8.57%）>topography factors （3.63%）. ConclusionIt is suggested to carry out ecological planting of P. odoratum mainly in Shaanxi （such as Baoji and Ankang Cities and Ningshan， Liuba， and Hua Counties）， Gansu （such as Tianshui City， Gannan Tibetan Autonomous Prefecture， and Liangdang and Huating Counties）， and Shanxi （such as Yangquan， Taiyuan， Fenyang， and Jinzhong Cities， as well as Xingxian County） of China. Solar radiation factors should be given priority in the planting process， followed by vegetation， soil， precipitation， temperature， and topography factors. The range of key ecological factors， namely Srad11， Prec7， Class1， SLTPPT， and Bio1 should be controlled within 8 095.21-10 334.98 （optimum 8 787.50） kJ·m^-2·d^-1， 109.99-223.60 （146.91） mm， 1.00%-9.45% （6.76%-10.68%）， 41.73%-50.35% （46.53%）， and 3.29-16.33 （13.57） °C， respectively.

Pharmacological perturbation studies based on protein-level signatures are fundamental for drug dis-covery.In the present study,we used a mass spectrometry(MS)-based proteomic platform to profile the whole proteome of the breast cancer MCF7 cell line under stress induced by 78 bioactive compounds.The integrated analysis of perturbed signal abundance revealed the connectivity between phenotypic behaviors and molecular features in cancer cells.Our data showed functional relevance in exploring the novel pharmacological activity of phenolic xanthohumol,as well as the noncanonical targets of clinically approved tamoxifen,lovastatin,and their derivatives.Furthermore,the rational design of synergistic inhibition using a combination of histone methyltransferase and topoisomerase was identified based on their complementary drug fingerprints.This study provides rich resources for the proteomic landscape of drug responses for precision therapeutic medicine.

Objective To analyze the current status,hot spots and trends of Chinese and English researches in the field of aspiration after dysphasia in the past twenty years. Methods The articles about aspiration after dysphasia were retrieved from CNKI and Web of Science(WOS)core collec-tion database,from January,2003 to June,2023,and were analyzed with CiteSpace 6.1.R6. Results A total of 3 231 articles were included.The annual articles were published more and more year by year.The most English literatures came from the United States.Hot spots mainly focused on the assessment of dysphasia,prevention of complication,nutrition and rehabilitation therapy.It would concentrate on the application of the volume-viscosity swallow test and assessment scales,rehabilitation,penetration aspiration,outcome and effect validation,quality of life,feeding and nutrition condition,and evidence-based nursing,etc.,in the future. Conclusion The researches in the field of aspiration after dysphasia have been increasing in recent years,and the themes and contents of researches have been deepening.

Background Anxiety and depression are common perinatal mental health issues that often occur together and can have serious negative effects on both maternal and infant health. Objective To examine the relationships between lifestyle factors and comorbid anxiety and depression (CAD) among pregnant women in Shanghai. Methods The study estimated the prevalence of CAD during the first, second, and third trimesters of pregnancy using the Self-rating Anxiety Scale (SAS) and Center for Epidemiological Studies-Depression (CES-D) based on data from the China National Birth Cohort (CNBC) embryonic-derived diseases with assisted reproductive technology (ART) sub-cohort. Information on demographics, sleep status, nutritional intake, and exercise during each trimester was collected through self-made questionnaires, the Pittsburgh Sleep Quality Index (PSQI), and the Food Frequency Questionnaire (FFQ). Lifestyle factors (such as sleep status, nutritional intake, and exercise during each trimester) were analyzed using logistic regression and generalized linear mixed models (GLMM) to determine their impacts on the prevalence of CAD (yes or no) among pregnant women. Results A total of 2876 pregnant women were included in this study. The prevalence of CAD was 10.6% (305), 3.6% (103), and 5.5% (159) in the first, second, and third trimesters of pregnancy, respectively. The logistic regression analysis revealed that poor sleep quality throughout the entire pregnancy were statistically associated with an increased prevalence of CAD, and the odds ratios (OR) with 95% confidence intervals (CI) were 2.817 (1.845, 4.301), 2.840 (1.855, 4.347), and 9.316 (5.835, 14.876) for the first, second, and third trimesters, respectively, when compared to good sleep quality. Additionally, compared to an intake frequency of 7 times per week, the frequency of egg intake ≤3 times per week in the first trimester (OR=2.025, 95%CI: 1.197, 3.425) and the frequency of egg intake of 4–6 times per week (OR=1.896, 95%CI: 1.117, 3.216) or ≤3 times per week (OR=1.906, 95%CI: 1.082, 3.357) in the third trimester were associated with an increased risk of CAD (P<0.05). Moreover, when compared to a frequency of exercise >3 times per week, never or almost never exercising in the second trimester (OR=2.218, 95%CI: 1.220, 4.035) was associated with an increased risk of CAD (P<0.05). The GLMM analysis also demonstrated a significant association between poor sleep quality, lower exercise frequency, or lower intake frequency of vegetables, eggs, or milk and an increased risk of CAD (P<0.05). Conclusion The prevalence of CAD among pregnant women in Shanghai follows a U-shaped distribution, with the highest rate occurring in early pregnancy and the lowest rate in mid-pregnancy. Factors such as poor sleep quality, inadequate intake of vegetables, eggs, or milk, and lack of exercise during pregnancy may increase the risk of CAD. Implementing lifestyle interventions during pregnancy could potentially reduce the risk of mental health problems and improve the overall health of both mothers and babies.

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 investigate the predictive value of systemic inflammatory response index (SIRI), systemic immune-inflammation index (SII), and CT perfusion imaging (CTP) parameters for early neurological deterioration (END) in patients with mild stroke duo to anterior circulation large vessel occlusion.Methods:Patients with minor stroke duo to anterior circulation large vessel occlusion admitted to the First People's Hospital of Suqian from November 2021 to December 2023 were included. Minor stroke was defined as a baseline National Institutes of Health Stroke Scale (NIHSS) score ≤ 5, and END was defined as an increase of ≥ 4 in NIHSS score within 24 hours of admission compared to the baseline. SIRI and SII were calculated based on the findings of blood routine examination. According to CTP at admission, the cerebral blood volume (CBV) index, infarct core volume, and early infarct growth rate (EIGR) were obtained. Multivariate logistic regression analysis was used to determine the independent risk factors for END. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of each predictor on END. Results:A total of 132 patients were included, with 85 males (64.4%) and a median age of 68 years (interquartile range, 58-77 years). Thirty-nine patients (29.5%) experienced END. The baseline NIHSS score, fasting blood glucose, neutrophil count, lymphocyte count, SIRI, SII, infarct core volume, and EIGR in the END group were significantly higher than those in the non-END group, while the CBV index was significantly lower than that in the non-END group (all P<0.05). Multivariate logistic regression analysis showed that SIRI (odds ratio [ OR] 3.672, 95% confidence interval[ CI] 1.838-6.326; P<0.001), SII ( OR 4.824, 95% CI 2.057-7.135; P<0.001), CBV index ( OR 0.968, 95% CI 0.947-0.986; P<0.001), and EIGR ( OR 2.527, 95% CI 1.918-3.589; P<0.001) were the independent predictive factors of END. ROC curve analysis showed that the area under the curves of SIRI, SII, CBV index, and EIGR for predicting END were 0.780 (95% CI 0.692-0.863), 0.798 (95% CI 0.709-0.888), 0.775 (95% CI 0.697-0.853), and 0.772 (95% CI 0.732-0.829), respectively. Conclusion:SIRI, SII, CBV index, and EIGR are the independent predictive factors of END in patients with minor stroke duo to anterior circulation large vessel occlusion, and have certain predictive value for END.