Surface plasmon resonance （SPR） sensor is an optical detection technique enables real-time and dynamic monitoring of biological samples. SPR-based biosensors have remarkable characteristics such as label-free detection and high sensitivity, making them important tools for studying molecular interactions. The recognition element, which plays a critical role in SPR sensors,which could specifically identify and capture of target analytes, closely influencing the selectivity performance of the sensor. The progress on SPR sensors in pharmaceutical research were reviewed, which focused on the application of recognition elements such as antibodies, aptamers, molecularly imprinted polymers, and metal nanoparticles.

Objective:To develop and validate a risk prediction model for hospital discharge readiness in patients undergoing surgery for Stanford type B aortic dissection (TBAD) .Methods:A total of 130 patients who underwent TBAD surgery at Taizhou Hospital of Zhejiang Province between January 2020 and September 2024 were recruited by convenience sampling and divided into a training set ( n=91) and a validation set ( n=39) at a 7∶3 ratio. Readiness for hospital discharge was assessed using the Chinese version of the Readiness for Hospital Discharge Scale, and patients were categorized into good and poor readiness groups. Univariate analysis was used to compare demographic and disease-related data as well as admission Aortic Dissection Detection Risk Score (ADD-RS) between groups. Logistic regression was employed to identify factors influencing discharge readiness. A nomogram was developed using R software, and its predictive performance was evaluated with receiver operating characteristic (ROC) curves. Calibration curves and decision curve analysis (DCA) were further used to assess the accuracy and clinical utility of the model. Results:Logistic regression identified feedback-based health education, number of hospitalizations, ADD-RS score, emergency surgery, and length of hospital stay as independent predictors of discharge readiness. ROC curve analysis showed that the area under the curve ( AUC) for predicting poor discharge readiness was 0.91 [95% CI (0.85, 0.97) ] in the training set and 0.84 [95% CI (0.80, 0.99) ] in the validation set. Calibration curves and the Hosmer-Lemeshow test confirmed good calibration in both sets ( P>0.05). DCA demonstrated significant net clinical benefit when the high-risk threshold exceeded 0.02, although the benefit decreased as the threshold approached 0.80. Conclusions:The risk prediction model developed in this study effectively predicts poor discharge readiness in patients after TBAD surgery, showing good discrimination and calibration. The identified risk factors provide targeted directions for clinical interventions, which may help improve patients' readiness for discharge.

ObjectiveWith the epidermal growth factor receptor（EGFR）/Signal Transducers and Activators of Transcription（STAT3）/Hexokinase 2（HK2） signaling pathway in atherosclerosis （AS） and ovarian cancer （OC） as the entry point， this paper discusses the molecular mechanism of Gypenoside L （Gyp-L） treating AS and OC with different diseases， provides a new perspective and theoretical basis for TCM treating AS and OC with EGFR-STAT3-HK2 pathway， and enriches the scientific connotation of the theory of "cytoskeleton in the heart". MethodsCCK-8 was used to detect the proliferation of HUVEC and OVCAR-3 cells， in order to determine the intervention concentration for subsequent experiments. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. Western blot was used to detect the expression levels of relevant proteins. Furthermore， two cell models overexpressing EGFR were constructed and co treated with Gyp-L. HUVEC cells were divided into control， ox-LDL， OE-NC， OE-EGFR， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. OVCAR-3 cells were divided into control， OE-NC， OE-EGFR ， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Western blot was used to detect the expression levels of EGFR-STAT3-HK2 pathway related proteins. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. ResultsGyp-L can significantly reduce the NO content of HUVEC and the pyruvate and LDH content of two cell lines （P<0.05）； Inhibit the proliferation and migration ability of OVCAR-3 cells； Reduce the expression levels of EGFR/STAT3/HK2 pathway related proteins in HUVEC and OVCAR-3 cell lines （P<0.05）， and inhibit the glycolysis pathway. ConclusionGyp-L can inhibit glycolysis in HUVEC and OVCAR-3 cells through the EGFR/STAT3/HK2 pathway，thereby suppressing the occurrence and development of AS and OC.

ObjectiveWith the epidermal growth factor receptor（EGFR）/Signal Transducers and Activators of Transcription（STAT3）/Hexokinase 2（HK2） signaling pathway in atherosclerosis （AS） and ovarian cancer （OC） as the entry point， this paper discusses the molecular mechanism of Gypenoside L （Gyp-L） treating AS and OC with different diseases， provides a new perspective and theoretical basis for TCM treating AS and OC with EGFR-STAT3-HK2 pathway， and enriches the scientific connotation of the theory of "cytoskeleton in the heart". MethodsCCK-8 was used to detect the proliferation of HUVEC and OVCAR-3 cells， in order to determine the intervention concentration for subsequent experiments. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. Western blot was used to detect the expression levels of relevant proteins. Furthermore， two cell models overexpressing EGFR were constructed and co treated with Gyp-L. HUVEC cells were divided into control， ox-LDL， OE-NC， OE-EGFR， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. OVCAR-3 cells were divided into control， OE-NC， OE-EGFR ， OE-NC+Gyp-L， and OE-EGFR+Gyp-L group. The colorimetric method was used to detect the NO content in HUVEC and the contents of pyruvate and LDH in two cell lines. Western blot was used to detect the expression levels of EGFR-STAT3-HK2 pathway related proteins. Cell cloning experiments and scratch experiments reflect the proliferation and migration ability of OVCAR-3 cells. ResultsGyp-L can significantly reduce the NO content of HUVEC and the pyruvate and LDH content of two cell lines （P<0.05）； Inhibit the proliferation and migration ability of OVCAR-3 cells； Reduce the expression levels of EGFR/STAT3/HK2 pathway related proteins in HUVEC and OVCAR-3 cell lines （P<0.05）， and inhibit the glycolysis pathway. ConclusionGyp-L can inhibit glycolysis in HUVEC and OVCAR-3 cells through the EGFR/STAT3/HK2 pathway，thereby suppressing the occurrence and development of AS and OC.

Objective To investigate the potential value of a deep learning(DL)model based on non-contrast CT images in predicting contrast medium extravasation in contrast-enhanced CT scans of tumor patients.Methods A total of 298 tumor patients were retrospectively selected,including 90 patients with extravasation and 208 without extravasation,and divided into training set(207 patients),validation set(46 patients),and external test set(45 patients)in a ratio of 7︰1.5︰1.5.U-Net was employed to segment the right common carotid artery/internal jugular vein and right subclavian artery/vein in non-contrast CT images,and ResNet50 was utilized to extract imaging features to construct the DL model,which was subsequently integrated with independent clinical predictors to establish the combined model.The segmentation performance of the DL model was evaluated using Dice similarity coefficient(DSC)and Intersection over Union(IoU),while the area under the curve(AUC),accuracy,sensitivity,and specificity of the model were calculated.Results The DL model demonstrated superior vascular segmentation(DSC 0.81-0.95,IoU 0.79-0.90).The combined model achieved optimal predictive performance,with AUC of 0.961[95%confidence interval(CI)0.924-0.983],0.949(95%CI 0.840-0.992),and 0.891(95%CI 0.762-0.964)in the training,validation,and external test sets,respectively.Its accuracy,sensitivity,and specificity were consistently higher than those of the standalone clinical model.Conclusion The DL model based on non-contrast CT images shows significant potential value in predicting contrast medium extravasation risk in tumor patients,providing an objective and intelligent tool for clinical risk assessment.

Objective:To explore the application of the O-PIRTAS flipped classroom in teaching the course of "developmental psychology".Methods:This study involved second-year undergraduate students majoring in clinical psychology. The 26 undergraduate students enrolled in 2023 who participated in the late adulthood section of the course were selected as the experimental group (O-PIRTAS teaching), while the 25 undergraduate enrolled in 2022 in the same course were selected as the control group (traditional teaching). Assessments were conducted through closed-book tests and questionnaires. The student questionnaire evaluated their theoretical knowledge, class assessment, and class engagement. The teacher questionnaire assessed the completeness of the lecture, logical flow, and student engagement. SPSS 22.0 was used for t test. Results:In the theoretical examination, the experimental group showed significantly higher scores compared to the control group in knowledge application [(13.09±1.59) vs. (10.54±0.77)] and practical problem-solving ability [(8.27±0.57) vs. (6.95±0.32)]. In the questionnaire survey, 24 (92.00%) students in the experimental group expressed recognition of the flipped classroom mode. Teachers reported greater improvement in satisfaction with the classroom performance of the experimental group compared to the control group.Conclusions:O-PIRTAS flipped classroom improves the quality of teaching "developmental psychology", enhances student learning outcomes, and stimulates learning motivation.

Objective:To analyze the reasons for the low results obtained by the determination of isosorbide dini-trate tablets content using the methods in the Chinese Pharmacopoeia and to improve the content determination method.Methods:The content of isosorbide dinitrate in 10 tablets was determined by high-performance liquid chromatography(HPLC)using a Phenomenex Luna C18 column(4.6 mm ×250 mm,5 μm)for separation,with a mobile phase of methanol-water(54∶46),a flow rate of 1.0 mL·min-1,and a UV detector set at a wavelength of 230 nm.The average content of 10 tablets was taken as the result of the content determination.Results:Isosor-bide dinitrate showed good linearity in the range of 49.22 to 1 230.5 μg·mL-1(r=0.999 96);the relative stand-ard deviation was 0.11％,the recovery rate was 96.0％,and the RSD was 1.5％(n=9).Conclusion:This method simplifies the experimental operations and steps,can eliminate the interference factors introduced by the original method,and improves the accuracy of the detection results.

Objective:To investigate and analyze the predictive value of inhibin A (INHA), galectin-13 (Gal-13), leucine rich alpha-2-glycoprotein 1 (LRG1) in serum for adverse pregnancy outcomes in pregnant women with gestational diabetes mellitus (GDM) .Methods:From Jan. 2022 to Dec. 2023, 87 GDM pregnant women admitted to Obstetrics Department of Shanxi Children’s Hospital were included as the study group, and were assigned into a good outcome group ( n=54) and an adverse outcome group ( n=33) based on pregnancy outcomes. Meantime, another 87 healthy pregnant women who underwent normal prenatal examinations at our hospital and had no complications were selected as the control group. ELISA method was applied to detect serum levels of INHA, LRG1, and Gal-13. Multiple factor Logistic regression model was constructed to analyze the factors affecting adverse pregnancy outcomes in GDM pregnant women. Receiver operating characteristic (ROC) curves were applied to evaluate the efficacy of the three methods in predicting adverse pregnancy outcomes in GDM pregnant women. Results:Compared with the control group, the levels of INHA and LRG1 in the serum of pregnant women in the study group were obviously higher, and the level of Gal-13 in the serum was obviously lower ( P<0.05). Compared with the good outcome group, the adverse outcome group showed an increase in serum INHA and LRG1 levels and a decrease in serum Gal-13 level ( P<0.05). Elevated levels of serum INHA and LRG1 were risk factors for adverse pregnancy outcomes in GDM pregnant women, while elevated level of serum Gal-13 was a protective factor ( P<0.05). The AUC values for predicting adverse pregnancy outcomes in GDM pregnant women based solely on serum INHA, Gal-13, and LRG1 levels were 0.859, 0.850, and 0.841, respectively. The AUC predicted by the combination of the three factors was 0.978, which was better than the individual predictions of serum INHA, Gal-13, and LRG1 ( Zcombination-HA=2.378, Z combination-Gal-13=3.193, Zcombination-LRG1=3.050, P=0.017, 0.001, 0.002) . Conclusions:Serum levels of INHA and LRG1 are elevated in GDM pregnant women, while serum level of Gal-13 is decreased. All three are potential factors that affect the pregnancy outcomes of GDM pregnant women, and the combination of the three shows higher efficacy in predicting adverse pregnancy outcomes in GDM pregnant women.

Objective:To explore the effectiveness and safety of different anticoagulation strategies during continuous blood purification (CBP) treatment,providing a reference for anticoagulation strategies in critically ill children undergoing CBP.Methods:A retrospective study was conducted,including children admitted to the PICU of Children's Hospital of Fudan University from January 2019 to December 2024.According to the anticoagulation methods used during CBP treatment,patients were divided into the sodium citrate group and the heparin group.CBP was performed using continuous venovenous hemofiltration or continuous venovenous hemodialysis filtration mode,with a blood flow rate of 3-5 mL/(kg·min),replacement fluid rate of 30-50 mL/(kg·h),and dialysis fluid rate of 20-30 mL/(kg·h).The filter lifespan,28-day all-cause mortality,total length of hospital stay,PICU stay duration,adverse events,and associated costs were compared between the two groups.Results:A total of 221 children were included (105 in the sodium citrate group and 116 in the heparin group),with a cumulative use of 666 filters (284 in the sodium citrate group and 382 in the heparin group).(1) There were no statistically significant differences in general data,including age,sex ratio,underlying diseases,the ratio and duration of invasive mechanical ventilation,vasopressor scores at baseline,and indications for CBP between the two groups (all P>0.05).(2) The filter lifespan was 20(14,32) hours for the sodium citrate group and 21(13,35) hours for the heparin group,with no statistically significant difference between the two groups ( P>0.05); the proportion of accidental downstroke was 2.8% and 6.5%,respectively,with a statistically significant difference ( P=0.029); among the 221 children,86 died,with 38 deaths (35.2%) in the sodium citrate group and 49 deaths (38.9%) in the heparin group,showing no statistically significant difference.(3) The sodium citrate group had a higher incidence of metabolic alkalosis,hypocalcemia,and sodium citrate accumulation (44.4% vs. 1.6%,32.7% vs 9.4%,7.7% vs 0,all P<0.01); the heparin group had a greater proportion of bleeding (6.0% vs. 2.9%) and was more likely to develop heparin-induced thrombocytopenia (10.2% vs. 0, P<0.01).(4) The total hospitalization costs for the sodium citrate group were significantly higher than for the heparin group (200 327 yuan vs. 152 077 yuan, P=0.05); costs related to the use of anticoagulants and monitoring indicators during CBP treatment were also higher in the sodium citrate group (2 479 yuan vs. 682 yuan, P<0.01). Conclusions:Sodium citrate is a safe and effective anticoagulation method for critically ill children undergoing CBP,which can reduce the risk of filter clotting compared to systemic heparin anticoagulation.

Objective:To develop and validate a risk prediction model for hospital discharge readiness in patients undergoing surgery for Stanford type B aortic dissection (TBAD) .Methods:A total of 130 patients who underwent TBAD surgery at Taizhou Hospital of Zhejiang Province between January 2020 and September 2024 were recruited by convenience sampling and divided into a training set ( n=91) and a validation set ( n=39) at a 7∶3 ratio. Readiness for hospital discharge was assessed using the Chinese version of the Readiness for Hospital Discharge Scale, and patients were categorized into good and poor readiness groups. Univariate analysis was used to compare demographic and disease-related data as well as admission Aortic Dissection Detection Risk Score (ADD-RS) between groups. Logistic regression was employed to identify factors influencing discharge readiness. A nomogram was developed using R software, and its predictive performance was evaluated with receiver operating characteristic (ROC) curves. Calibration curves and decision curve analysis (DCA) were further used to assess the accuracy and clinical utility of the model. Results:Logistic regression identified feedback-based health education, number of hospitalizations, ADD-RS score, emergency surgery, and length of hospital stay as independent predictors of discharge readiness. ROC curve analysis showed that the area under the curve ( AUC) for predicting poor discharge readiness was 0.91 [95% CI (0.85, 0.97) ] in the training set and 0.84 [95% CI (0.80, 0.99) ] in the validation set. Calibration curves and the Hosmer-Lemeshow test confirmed good calibration in both sets ( P>0.05). DCA demonstrated significant net clinical benefit when the high-risk threshold exceeded 0.02, although the benefit decreased as the threshold approached 0.80. Conclusions:The risk prediction model developed in this study effectively predicts poor discharge readiness in patients after TBAD surgery, showing good discrimination and calibration. The identified risk factors provide targeted directions for clinical interventions, which may help improve patients' readiness for discharge.