Background: and Purpose Live cell-based assays (LCBA) are increasingly used for serological antibody detection due to their ability to preserve antigen conformation, offering moderately higher sensitivity than fixed cell-based assays. However, the clinical necessity of prioritizing LCBA for the detection of aquaporin-4 immunoglobulin G (AQP4-IgG) in neuromyelitis optica spectrum disorder (NMOSD) remains unclear, especially when compared to its established role in diagnosing myelin oligodendrocyte glycoprotein antibody-associated disease. Methods: We compared the performance of live cell-based assays using immunofluorescence (LCBA-IF) and fixed cell-based assays using immunofluorescence (FCBA-IF) in detecting AQP4-IgG in 90 cases of NMOSD meeting 2015 International Panel for Neuromyelitis Optica Diagnosis criteria, alongside 40 controls. Additionally, we further investigated the relationship between AQP4-IgG titers as measured by LCBA-IF and FCBA-IF and clinical parameters in NMOSD patients. Results: Results showed 96.9% agreement between LCBA-IF and FCBA-IF (Cohen’s κ=0.935), with a strong Spearman correlation (0.977, p<0.001). Both methods demonstrated 100% specificity, with LCBA-IF showing slightly higher sensitivity compared to FCBA-IF. Within LCBAIF-tested groups, statistically significant differences in annualized relapse rates were observed across all pairwise comparisons (low-titer vs. moderate-titer, low-titer vs. high-titer, and moderate-titer vs. high-titer; all p<0.050). However, this association reached statistical significance in some FCBA-IF-tested groups. Conclusions Overall, there is a strong concordance between LCBA-IF and FCBA-IF in detecting AQP4-IgG, where LCBA-IF shows slightly higher sensitivity. Furthermore, there is a potential link between elevated AQP4-IgG titers and an increased risk of relapse, and this correlation may appear more pronounced when using LCBA-IF.

Aim To investigate the key targets and mechanisms of diabetic gastroparesis(DGP)by in-tegrating network pharmacology and molecular docking technology with animal experiments,and to specifically focus on exploring the effects of hedysarum polybotrys polysaccharide(HPS)on DGP through animal experi-mentation to validate its potential as a treatment for di-abetic gastroparesis.Methods The chemical constit-uents of HPS were analyzed,and the active chemical components of Radix Astragali were identified using the TCMSP database.The Swisstarget database was utilized to screen for HPS active ingredient targets,while DGP-related targets were identified from disease databases such as TTD,GeneCards,Drugbank,and DisGeNET.The STRING database was used to construct the PPI network,and Cytoscape 3.10.1 software was employed for network topology analysis and selection of key tar-gets.Subsequently,a compound-target-pathway net-work diagram was constructed.Key targets underwent GO function(biological function,molecular function,and cellular function)and KEGG pathway enrichment analysis using the Metascape database.Molecular doc-king was performed using Pymol 2.5 and AutoDock software.DGP rat model was established to observe the histopathological changes in small intestine after eight weeks of HPS intervention through HE staining.Addi-tionally,Western blot was conducted to detect the ex-pression of AGEs,RAGE,and NF-κB in eggs.The re-sults revealed a total of 302 key targets.Results A total of 302 key targets which were further analyzed for gene GO function and KEGG pathway enrichment.CUL3,YWHAZ,and NTRK1 were predicted as the key targets with critical pathways including the AGE-RAGE signaling pathway in diabetic complications,viral carci-nogenesis,hepatitis B,and alcoholism signaling path-way among others.Furthermore,in vivo experiments confirmed that HPS could improve small intestine histo-pathology in DGP rats,resulting in significant protective effects on this organ.It also reduced the expression of AGEs,RAGE,and NF-κB protein,hence achieving its purpose of treating DGP.Conclusion HPS has the characteristics of multi-component,multi-target and multi-pathway action,which may affect the regulatory role of AGE-RAGE signaling pathway on DGP,and provide new ideas for the subsequent clinical improve-ment of DGP.

Objective:To analyze the influencing factors for choice of secondary disciplines in eight-year medical students majoring in clinical medicine based on the self-determination theory.Methods:Fourteen eight-year students majoring in clinical medicine in 2018 and 2019 from an affiliated medical school of Peking University Health Science Center were selected to conduct semi-structured interviews using purposive sampling and descriptive phenomenological study methods. The thematic framework method was used to analyze the interview data and refine the theme.Results:Through the analysis of interview data, a total of 3 dimensions were obtained, including 6 first-level topics and 19 second-level topics: ①autonomy dimension (interest factor and value factor); ②dimension of competence (personal trait factor and subject requirement factor); and ③belonging dimension (department factor and mentor factor).Conclusions:The sense of autonomy based on interests and values, the sense of competence matched with personal ability and the characteristics of the discipline, and the sense of belonging brought by the atmosphere of the department and the mentor are important factors influencing the choice of secondary disciplines in eight-year medical students. Teachers and teaching managers should pay attention to the cultivation of students' interests and value guidance, early contact with secondary disciplines, provision of competency training, and promotion of good interaction between students and department tutors, so as to enhance students' sense of belonging and optimize the training model of eight-year excellent doctors.

Aim To investigate the key targets and mechanisms of diabetic gastroparesis(DGP)by in-tegrating network pharmacology and molecular docking technology with animal experiments,and to specifically focus on exploring the effects of hedysarum polybotrys polysaccharide(HPS)on DGP through animal experi-mentation to validate its potential as a treatment for di-abetic gastroparesis.Methods The chemical constit-uents of HPS were analyzed,and the active chemical components of Radix Astragali were identified using the TCMSP database.The Swisstarget database was utilized to screen for HPS active ingredient targets,while DGP-related targets were identified from disease databases such as TTD,GeneCards,Drugbank,and DisGeNET.The STRING database was used to construct the PPI network,and Cytoscape 3.10.1 software was employed for network topology analysis and selection of key tar-gets.Subsequently,a compound-target-pathway net-work diagram was constructed.Key targets underwent GO function(biological function,molecular function,and cellular function)and KEGG pathway enrichment analysis using the Metascape database.Molecular doc-king was performed using Pymol 2.5 and AutoDock software.DGP rat model was established to observe the histopathological changes in small intestine after eight weeks of HPS intervention through HE staining.Addi-tionally,Western blot was conducted to detect the ex-pression of AGEs,RAGE,and NF-κB in eggs.The re-sults revealed a total of 302 key targets.Results A total of 302 key targets which were further analyzed for gene GO function and KEGG pathway enrichment.CUL3,YWHAZ,and NTRK1 were predicted as the key targets with critical pathways including the AGE-RAGE signaling pathway in diabetic complications,viral carci-nogenesis,hepatitis B,and alcoholism signaling path-way among others.Furthermore,in vivo experiments confirmed that HPS could improve small intestine histo-pathology in DGP rats,resulting in significant protective effects on this organ.It also reduced the expression of AGEs,RAGE,and NF-κB protein,hence achieving its purpose of treating DGP.Conclusion HPS has the characteristics of multi-component,multi-target and multi-pathway action,which may affect the regulatory role of AGE-RAGE signaling pathway on DGP,and provide new ideas for the subsequent clinical improve-ment of DGP.

Aim To establish an animal model of diabetic kidney disease(DKD)integrating blood stasis syndrome and syndrome evaluation indicators.Methods Twenty-five SD rats were ran-domly divided according to body weight into a control group(8 rats)and a modeling group(17 rats).The modeling group was fed a high-sugar and high-fat diet for four weeks and induced to form diabetic rats by intraperitoneal injection of 30 mg·kg-1 streptozocin.The modeling rats were randomly divided into the DKD group and blood stasis syndrome combination group accord-ing to 24-hour urinary protein(24-hUP).The blood stasis syn-drome combination group was induced to replicate the DKD blood stasis syndrome model by injecting 10％high molecular weight D-glucoside three times at a dose of 0.05 mg·kg-1 via tail vein.The model was evaluated based on random blood glu-cose level,24-hUP level,syndrome assessment,pathological staining etc,and differential metabolites were selected using metabolomics.Results The comprehensive evaluation of syn-drome manifestations and pathological staining in the combined model of blood stasis syndrome in rats demonstrated successful replication.Utilizing the technique of liquid chromatography-mass spectrometry,22 differential metabolites were identified,with associated pathways showing a certain relevance to blood stasis syndrome in DKD.Conclusions The successful replica-tion of an animal model combining the syndrome of blood stasis in DKD has been achieved in this study.Evaluation of indicators and results from metabolomics studies consistently demonstrate a correlation with the syndrome of blood stasis in DKD.

Objective:To explore the characteristics of social skills and problem behaviors of children and adolescents with autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD), as well as the association with core symptoms.Methods:A total of 409 patients aged 5-18 years old with ASD or ADHD in the outpatient department of Nanjing Brain Hospital from 2023 to 2024, and 344 children and adolescents with typical development(TD) were recruited.All participants were matched in a ratio of 1∶1∶1 (ASD∶ADHD∶TD) according to gender and age, and 97 participants were included in each group for analysis.The Chinese version of the social skills improvement system rating scales(SSIS-RS-C) was used to evaluate social skills and problem behaviors, and autistic child behavior checklist(ABC), childhood autism rating scale(CARS), the Chinese version of the social communication questionnaire(SCQ) and the Chinese version of Swanson, Nolan, and Pelham, version Ⅳ scale-parent form(SNAP-Ⅳ) were used to evaluate the core symptoms of ASD and ADHD, respectively. SPSS 26.0 software was used to perform variance, Chi-square test, Spearman correlation analysis and multivariate Logistic regression analysis.Results:The social skills score of ASD group was lower than ADHD group ((61.53±24.26) vs (80.89±15.19), P<0.05), while the problem behavior score of ASD group was higher than ADHD group ((38.82±11.92) vs (34.00±12.45), P<0.05). In ASD group, the scores of ABC, CARS and SCQ were negatively correlated with the score of social skills ( r=-0.26--0.55, P<0.05). In ADHD group, the total score and each subscale of SNAP-Ⅳ were positively correlated with the score of problem behavior ( r=0.25-0.65, P<0.05). Multivariate Logistic regression analysis showed that empathy was a negative influencing factor of ASD ( B=-0.246, OR=0.782, P<0.05), and hyperactivity/inattention was a positive influencing factor of ASD ( B=0.589, OR=1.802, P<0.01), while only hyperactivity/inattention was a positive influencing factor of ADHD( B=0.779, OR=2.180, P<0.01). Conclusion:Children and adolescents with ASD and ADHD both have defects in social skills and problem behaviors, and these defects are associated with the core characteristics of their respective diseases.

Objective:To analyze and validate the reliability and validity of the social skills improvement system-rating scales Chinese version (parent version) (SSIS-RS-C) in middle school students.Method:A total of 1 486 parents of middle school students were recruited according to the cluster sampling method.The social responsiveness scale and strengths and difficulties questionnaire were used as criterion validity tools.A retest was conducted one month later.SPSS 27.0 was used for descriptive statistics, item analysis, internal consistency test, test-retest reliability test and criterion validity test. AMOS 24.0 was used to perform confirmatory factor analysis .Results:Item analysis indicated significant positive correlations between each item and the subscales ( r=0.293-0.782, all P<0.01), with significant differences in scores between high and low groups ( t=10.079-37.038, all P<0.01).Confirmatory factor analysis supported a seven-factor structure for the social skills subscale(communication, cooperation, assertion, responsibility, empathy, engagement and self control) and a five-factor structure for the problem behavior subscale (externalizing, bullying, hyperactivity/inattention, internalizing and autism spectrum) of the SSIS-RS-C.There was a positive correlation between the social skills subscale and prosocial behavior ( r=0.637, P<0.001), and between the problem behavior subscale and social impairments and difficult behaviors ( r=0.765, 0.688, both P<0.001).The Cronbach's α coefficients for the total scale, social skills subscale and problem behavior subscale were 0.934, 0.972 and 0.963, respectively.The test-retest correlation coefficients for the total score and the two subscales were 0.665, 0.871 and 0.598, respectively (all P<0.001). Conclusion:The SSIS-RS-C demonstrated good reliability and validity in the Chinese adolescent population.

Background and Aims:Hepatectomy is an important treatment option for hepatic hemangioma,and the approach has gradually shifted from traditional open surgery to laparoscopic and robotic-assisted surgery.However,there is still no consensus on whether robotic assistance provides better treatment outcomes than laparoscopic surgery for hepatic hemangioma.Therefore,this study was performed to evaluate and compare the clinical efficacy and safety of robotic-assisted and laparoscopic hepatectomy for the treatment of hepatic hemangioma.Methods:The clinical data of 184 patients who underwent minimally invasive hepatectomy for hepatic hemangioma in the Department of Hepatobiliary and Pancreatic Surgery,Second Affiliated Hospital of Kunming Medical University,between February 2021 and July 2024 were retrospectively collected.Among them,30 cases were in the robotic group,and 154 cases were in the laparoscopic group.Propensity score matching(PSM)was performed based on baseline data such as patient demographics,tumor characteristics,and surgical resection range,with a 1∶2 matching ratio.Intraoperative and postoperative outcomes were compared between the two groups after matching.Results:After 1∶2 PSM,24 patients were in the robotic group and 48 in the laparoscopic group.Preoperative variables were well balanced between the groups(area under the ROC curve was 0.588).The robotic group had significantly shorter operative time(138 min vs.168 min,P=0.024)and hepatic hilum blocking time(25 min vs.45 min,P＜0.001)compared to the laparoscopic group.Postoperative albumin levels on day 1 and day 3 were higher in the robotic group,while transaminase levels on postoperative day 1 and day 3 were lower(all P＜0.05).However,the hospitalization cost was higher in the robotic group than that in the laparoscopic group(74 746 yuan vs.49 644 yuan,P＜0.001).No significant differences were found between the groups in terms of intraoperative blood loss,intraoperative transfusion rate,open conversion rate,postoperative length of stay,and postoperative complication rates as well as complication severity(all P＞0.05).Conclusion:For suitable cases of hepatic hemangioma,robotic-assisted laparoscopic hepatectomy is a safe and feasible treatment option.Compared to traditional laparoscopic surgery,it reduces operative time and hepatic hilum blocking time,and minimizes the impact on postoperative liver function.However,the treatment cost is higher,and selection should be based on the patient's individual needs.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Objective To comprehensively evaluate the multidimensional impact of the"Tianjin Experience"of Chest Pain Center(CPC)development on in-hospital mortality,optimization of treatment workflows,and regional coordination of care for patients with acute myocardial infarction(AMI),with the aim of providing scientific evidence to further improve the model and enhance AMI treatment outcomes.Methods This study analyzed data from the"Cardiovascular and Cerebrovascular Acute Events Surveillance System"maintained by the Tianjin Center for Disease Control and Prevention from 2013 to 2024.A segmented regression model was applied to assess the long-term trends in in-hospital mortality from acute myocardial infarction(AMI),with a particular focus on evaluating the impact of the chest pain center program on treatment outcomes.Additionally,supplementary analyses were conducted using surveillance data from the Tianjin Chest Pain Center Quality Control Team between 2017 and 2024.To verify the effectiveness of treatment process optimization,temporal trends in key time-based process indicators were assessed,including Door-in-Door-out(DIDO)time at non-PCI hospitals,Door-to-Wire(D-to-W)time,and First Medical Contact to Wire(FMC-to-W)to wire time.Results According to the data from the Tianjin Center for Disease Control and Prevention,the average 28-day AMI mortality rate in the overall patient population was 9.85％.Between 01/2013 and 12/2014,the mortality rate showed a significant upward trend(P＜0.01),followed by a downward trend from 01/2015 to 12/2024,although the latter did not reach statistical significance(P＞0.05).From 2013 to 2024,a total of 27 633 AMI cases with complete clinical records were collected from Tianjin Chest Hospital,with an average 28-day mortality rate of 4.55％.The mortality rate exhibited a decreasing trend from 01/2013 to 12/2016,with an annual percent change(APC)of-7.56(P＜0.05).From 01/2017 to 12/2024,the trend stabilized,with an APC of 0.39(P＞0.05).Conclusions The development of the CPC system in Tianjin significantly reduced key treatment times and improved the overall efficiency of AMI management.While population-level AMI mortality rates began to decline after 2015,the rate of improvement has slowed,indicating a continued need for optimizing the regional coordinated care system to further enhance patient outcomes.