Objective:To establish a high-performance liquid chromatography(HPLC)method for the determina-tion of related substances in buprenorphine active pharmaceutical ingredient(API)using advanced ACD/Auto-Chrom method development software for comprehensive parameter simulation and design.Methods:An Agilent ZORBAX Eclipse Plus C18 column(4.6 mm × 150 mm,3.5 μm)was used with a mobile phase consisting of 40 mmol·L-1 potassium dihydrogen phosphate solution and acetonitrile in a gradient elution mode.The flow rate was set at 1.3 mL·min-1,the column temperature was maintained at 35 ℃,the detection wavelength was 240 nm,and the injection volume was 5 μL.Results:The impurities A,B,D,E,F,G,H,I,and J in buprenorphine were effectively separated from the main component.The linear ranges were 0.33-83.73,0.20-78.74,0.20-40.28,0.22-43.31,0.32-78.98,0.13-63.74,0.51-101.54,0.22-43.72,and 0.40-80.37 μg·mL-1,respectively.The limits of detection(LOD)were 0.10,0.06,0.06,0.06,0.09,0.04,0.15,0.07,and 0.12 μg·mL-1,respectively,while the limits of quantification(LOQ)were 0.33,0.20,0.20,0.22,0.32,0.13,0.51,0.22,and 0.40 μg·mL-1,respectively.The accuracy,precision,and robustness of the method met the required standards.Conclusion:This method is suitable for the determi-nation and quality control of related substances such as impurities A,B,D,E,F,G,H,I,and J in buprenorphine API.

Objective To explore the quantitative electroencephalography(qEEG)characteristics of the prefrontal cortex in patients with mild cognitive impairment(MCI)during digital screening tasks for MCI screening.Methods A total of 592 MCI patients(MCI group)and 317 normal cognitively elderly individuals(control group)were recruited from 40 communities in Nanjing,Jiangsu Province,from July to August,2024.All participants were as-sessed using Montreal Cognitive Assessment-Beijing Version(MoCA-BJ).Prefrontal EEG data were collected using a portable EEG device,and power spectral analysis was performed via Fast Fourier Transform.An XG-Boost algorithm was employed to construct an MCI identification model based on qEEG power features,and the model's performance was evaluated using receiver operating characteristic(ROC)curve.Results Compared with the control group,prefrontal δ,α,and β band power increased during screening tasks in MCI group(P<0.05);δ power was negatively correlated with MoCA-BJ total scores,and visuospatial/executive func-tion,attention and delayed recall scores(r=-0.269,-0.169,-0.133,-0.171,P<0.001);α power was negative-ly correlated with MoCA-BJ total scores,attention and delayed recall scores(r=-0.113,-0.075,-0.091,P<0.05).The XGBoost model based on δ and α power was excellent in MCI identification,with an area under the curve of 0.91,accuracy of 0.81,precision of 0.89,F1 score of 0.84,recall of 0.80,and specificity of 0.81.Conclusion MCI patients exhibit increased power in the prefrontal δ and α frequency bands during digital screening tasks,which is associated with cognitive decline.An XGBoost model based on qEEG power features can enable early prediction of MCI.

Objective To explore the technical process and clinical application of laparoscopic combined upper midline incision minimally invasive liver transplantation. Methods A retrospective analysis was conducted on 30 cases of laparoscopic combined upper midline incision minimally invasive liver transplantation. The cases were divided into cirrhosis group (15 cases) and liver failure group (15 cases) based on the primary disease. The surgical and postoperative conditions of the two groups were compared. Results All patients successfully underwent laparoscopic "clockwise" liver resection, with no cases of passive conversion to open surgery or intolerance to pneumoperitoneum. In 6 cases, the right lobe was relatively large, and the right hepatic ligaments could not be completely mobilized. One case required an additional reverse "L" incision during open surgery. All patients successfully completed the liver transplantation, with no major intraoperative bleeding, cardiovascular events, or other occurrences in the 30 patients. The model for end-stage liver disease (MELD) score in the cirrhosis group was lower than that in the liver failure group (P<0.001). There were no statistically significant differences between the two groups in terms of age, surgical time, blood loss, anhepatic phase, or cold ischemia time (all P>0.05). During the perioperative period, there was 1 case of hepatic artery embolism, 1 case of portal vein anastomotic stenosis, no complications of hepatic vein and inferior vena cava, and 3 cases of biliary anastomotic stenosis, all of which occurred in the liver failure group. Conclusions In strictly selected cases, the minimally invasive liver transplantation technique combining laparoscopic hepatectomy with upper midline incision for graft implantation has the advantages of smaller incisions, less bleeding, relatively easier operation, and faster postoperative recovery, which is worthy of clinical promotion and application.

Objective: To explore the active components, key targets, and mechanism of action of turnip in alleviating pulmonary fibrosis(PF) based on network pharmacology and animal experiments. Methods: The active components and targets of Brassica rapa L. were screened using the traditional Chinese medicine systems pharmacology database and analysis platform database, and PF-related targets were obtained from disease databases such as online mendelian inheritance of man(OMIM) and DrugBank. The intersection targets were used to construct a protein-protein interaction(PPI) network to identify core targets, followed by gene oncology(GO)/Kyoto encyclopedia of genes and genomes(KEGG) pathway enrichment analysis. In the animal experiments, a bleomycin-induced PF mouse model was established. Pathological changes in lung tissue were evaluated using HE and Masson staining. qRT-PCR was used to detect the mRNA expression of tumor necrosis factor-α(TNF-α), phosphatidylinositol 3-kinase(PI3K), and akstrain transforming 1(AKT1), and immunofluorescence staining was used to measure the protein expression of TNF-α, PI3K, and AKT1. Results: The 68 active components identified in Brassica rapa L. may regulate PI3K-Akt signaling pathway by acting on 89 potential targets such as TNF-α and AKT1. The results of animal experiments showed that polysaccharide of Brassica rapa L.(BRPs) could significantly reduce the degree of bleomycin induced pulmonary fibrosis in mice; HE and Masson staining of lung tissue showed that compared with the model group, the damage of alveolar structure, the infiltration of inflammatory cells and the deposition of collagen fibers in the BRPs treatment group were significantly reduced. Further mechanism studies showed that BRPs could significantly down-regulate the mRNA and protein expression levels of TNF-α, PI3K and AKT1 in lung tissue of pulmonary fibrosis mice. Conclusion Brassica rapa L. can synergistically alleviate pulmonary fibrosis through “multi-component, multi-target and multi-channel” approach; BRPs is one of the main active components, and plays an anti-fibrosis role by inhibiting TNF-α/PI3K Akt signaling pathway.

Objective:To establish a high-performance liquid chromatography(HPLC)method for the determina-tion of related substances in buprenorphine active pharmaceutical ingredient(API)using advanced ACD/Auto-Chrom method development software for comprehensive parameter simulation and design.Methods:An Agilent ZORBAX Eclipse Plus C18 column(4.6 mm × 150 mm,3.5 μm)was used with a mobile phase consisting of 40 mmol·L-1 potassium dihydrogen phosphate solution and acetonitrile in a gradient elution mode.The flow rate was set at 1.3 mL·min-1,the column temperature was maintained at 35 ℃,the detection wavelength was 240 nm,and the injection volume was 5 μL.Results:The impurities A,B,D,E,F,G,H,I,and J in buprenorphine were effectively separated from the main component.The linear ranges were 0.33-83.73,0.20-78.74,0.20-40.28,0.22-43.31,0.32-78.98,0.13-63.74,0.51-101.54,0.22-43.72,and 0.40-80.37 μg·mL-1,respectively.The limits of detection(LOD)were 0.10,0.06,0.06,0.06,0.09,0.04,0.15,0.07,and 0.12 μg·mL-1,respectively,while the limits of quantification(LOQ)were 0.33,0.20,0.20,0.22,0.32,0.13,0.51,0.22,and 0.40 μg·mL-1,respectively.The accuracy,precision,and robustness of the method met the required standards.Conclusion:This method is suitable for the determi-nation and quality control of related substances such as impurities A,B,D,E,F,G,H,I,and J in buprenorphine API.

As an independent first-level discipline,an appropriate classification of nursing science is significant.In China,each nursing degree-granting institution has developed its own secondary-level discipline directions based on its research characteristics and strengths,with varying names and research scopes.Furthermore,there is no unified global classification system.This paper,based on the characteristics of nursing as a discipline and combined with China's discipline classification principles,used literature analysis,comprehensive classification,philosophical reflection,logical reasoning,and expert consultation methods to explore the connotation of nursing,its unique research objects and scope,and to construct a secondary-level discipline classification system for nursing science that is suitable for China's national conditions.The paper also discussed the challenges faced by the nursing discipline and its future development directions,providing theoretical and practical guidance for the development of the nursing discipline.

Objective To explore the quantitative electroencephalography(qEEG)characteristics of the prefrontal cortex in patients with mild cognitive impairment(MCI)during digital screening tasks for MCI screening.Methods A total of 592 MCI patients(MCI group)and 317 normal cognitively elderly individuals(control group)were recruited from 40 communities in Nanjing,Jiangsu Province,from July to August,2024.All participants were as-sessed using Montreal Cognitive Assessment-Beijing Version(MoCA-BJ).Prefrontal EEG data were collected using a portable EEG device,and power spectral analysis was performed via Fast Fourier Transform.An XG-Boost algorithm was employed to construct an MCI identification model based on qEEG power features,and the model's performance was evaluated using receiver operating characteristic(ROC)curve.Results Compared with the control group,prefrontal δ,α,and β band power increased during screening tasks in MCI group(P<0.05);δ power was negatively correlated with MoCA-BJ total scores,and visuospatial/executive func-tion,attention and delayed recall scores(r=-0.269,-0.169,-0.133,-0.171,P<0.001);α power was negative-ly correlated with MoCA-BJ total scores,attention and delayed recall scores(r=-0.113,-0.075,-0.091,P<0.05).The XGBoost model based on δ and α power was excellent in MCI identification,with an area under the curve of 0.91,accuracy of 0.81,precision of 0.89,F1 score of 0.84,recall of 0.80,and specificity of 0.81.Conclusion MCI patients exhibit increased power in the prefrontal δ and α frequency bands during digital screening tasks,which is associated with cognitive decline.An XGBoost model based on qEEG power features can enable early prediction of MCI.

As an independent first-level discipline,an appropriate classification of nursing science is significant.In China,each nursing degree-granting institution has developed its own secondary-level discipline directions based on its research characteristics and strengths,with varying names and research scopes.Furthermore,there is no unified global classification system.This paper,based on the characteristics of nursing as a discipline and combined with China's discipline classification principles,used literature analysis,comprehensive classification,philosophical reflection,logical reasoning,and expert consultation methods to explore the connotation of nursing,its unique research objects and scope,and to construct a secondary-level discipline classification system for nursing science that is suitable for China's national conditions.The paper also discussed the challenges faced by the nursing discipline and its future development directions,providing theoretical and practical guidance for the development of the nursing discipline.

Objective To investigate immunogenic and toxic effects of graphene oxide (GO) nanoparticles in mouse skeletal muscles and in human blood in vitro. Methods GO nanoparticles prepared using a probe sonicator were supended in deionized H2O or PBS, and particle size and surface charge of the nanoparticles were measured with dynamic light scattering (DLS). Different concentrations (0.5, 1.0 and 2.0 mg/mL) of GO suspension or PBS were injected at multiple sites in the gastrocnemius muscle (GN) of C57BL/6 mice, and inflammatory response and immune cell infiltrations were detected with HE and immunofluorescence staining. We also examined the effects of GO nanoparticles on human red blood cell (RBC) morphology, hemolysis and blood coagulation using scanning electron microscope (SEM), spectrophotometry, and thromboelastography (TEG). Results GO nanoparticles suspended in PBS exhibited better colloidal dispersity, stability and surface charge effects than those in deionized H2O. In mouse GNs, injection of GO suspensions dose- and time-dependently resulted in sustained muscular inflammation and myofiber degeneration at the injection sites, which lasted till 8 weeks after the injection; immunofluorescence staining revealed obvious infiltration of monocytes, macrophages, dendritic cells and CD4+T cells around the injection sites in mouse GNs. In human RBCs, incubation with GO suspensions at 0.2, 2.0 and 20 mg/mL, but not at 0.002 or 0.02 mg/mL, caused significant alterations of cell morphology and hemolysis. TEG analysis showed significant abnormalities of blood coagulation parameters following treatment with high concentrations of GO. Conclusion GO nanoparticles can induce sustained inflammatory and immunological responses in mouse GNs and cause RBC hemolysis and blood coagulation impairment, suggesting its muscular toxicity and hematotoxicity at high concentrations.

ObjectiveTo study the correlation between the content of active ingredients of Aurantii Fructus in different main production areas and soil factors， so as to provide a theoretical basis for implementing ecological regulation of soil， improving the quality of Aurantii Fructus， and revealing the origin of genuine medicinal materials. MethodThe content of naringin， neohesperidin， total flavonoids， volatile oil， total nitrogen， total phosphorus， total potassium， and 17 soil factor-related indicators in 25 batches of Aurantii Fructus from different production areas were determined. The main soil factors affecting the content of active ingredients of Aurantii Fructus were analyzed by Pearson correlation analysis， principal component analysis， and grey correlation analysis. ResultThe pH value of the soil is between 4.83 and 8.21， and the soil is weakly acidic and neutral in general. Soil fertility exceeds the average. Pearson correlation analysis shows that the soil factors most related to the four active ingredients of Aurantii Fructus are total phosphorus， available copper， available zinc， exchangeable magnesium， available sulfur， available phosphorus， and available molybdenum. Principal component analysis shows that total nitrogen， alkali-hydrolyzable nitrogen， organic matter， available phosphorus， and available zinc are the main characteristic factors in soil. Grey correlation analysis shows that the main soil factors affecting the active ingredients of Aurantii Fructus are total phosphorus， total nitrogen， available zinc， available copper， exchangeable magnesium， and pH. ConclusionIn the cultivation of Aurantii Fructus， the medicinal material quality of Aurantii Fructus could be improved by adjusting the level of beneficial factors in the soil and improving the soil texture.