Objective To optimize the extraction, separation and purification process of Actinoside E. Methods Single factor experiment combined with orthogonal test was used to determine the optimal extraction process of Actinoside E using its content as an index. The extracts were separated and purified by optimizing the chromatographic conditions of macroporous resin, silica gel and ODS column. Results 25 times amount of 55% ethanol with heating reflux at 95℃ for one hour were used as the optimal extraction process of Actinoside E. The optimum separation and purification process was as follows: D101 macroporous resin column was eluted with 7 BV of 50% ethanol, silica gel column was eluted with 5 BV of ethyl acetate-ethanol（10∶1）and 50% methanol eluted fraction was purified repeatedly by ODS column to obtain Actinoside E. The transfer rate of Actinoside E in the whole process was 53.70%, the yield was 0.35%, and the purity was 99.9%. Conclusion The process is stable and viable, which can provide material foundation for the development and utilization of Actinoside E.

Objective To investigate the detection rate of non-alcoholic fatty liver disease (NAFLD) and influencing factors in the elderly population undergoing physical examination in Nanjing. Methods People who participated in the elderly physical examination in Nanjing from 2018 to 2023 were selected as the study subjects according to the inclusion and exclusion criteria. Basic information and physical examination results were collected. The t-test and Chi-square test were used to compare the detection status of NAFLD in different characteristic populations, and multivariate logistic regression model was used to analyze influencing factors of NAFLD. Results A total of 41 066 people were included in the study, with a detection rate of 39.55%. The detection rate in males (24.12%) was significantly lower than that in females (49.75%) (χ² = 2702.442, P<0.001). Trend χ² test results showed that the detection rate of NAFLD increased gradually with BMI (χ²_trend = 4084.414, P_trend < 0.001). Multivariate logistic regression analysis showed that female (OR = 3.055, 95% CI : 2.911-3.206), primary school or below (OR = 1.075, 95% CI : 1.009-1.146), unmarried (OR = 1.107, 95% CI : 1.039-1.179), BMI (18.5kg/m²-23.9 kg/m²: OR = 4.876, 95% CI :3.340-7.119; 24.0 kg/m²-27.9 kg/m²: OR = 15.324, 95% CI : 10.503-22.358; ≥28.0 kg/m²: OR = 37.433, 95% CI : 25.591-54.753), hypertension (OR = 1.095, 95% CI : 1.040-1.153), diabetes mellitus (OR = 1.317, 95% CI :1.250-1.387), and dyslipidemia (OR = 1.574, 95% CI : 1.501-1.652) were risk factors for NAFLD (all P<0.05). Conclusion The detection rate of NAFLD in the elderly population undergoing physical examinations in Nanjing is relatively high. Women, unmarried people, people with low education, overweight and obesity, and people with hypertension, diabetes, and dyslipidemia are the high-risk groups.

Objective: To systematically evaluate the performance of machine learning (ML) models in predicting non suicidal self injury (NSSI) behavior among adolescents, providing an evidence based foundation for the development of clinically applicable risk assessment tools. Methods: A comprehensive search was conducted in PubMed, Embase, Web of Science, CNKI, and Wanfang databases for relevant studies from their inception to July 21, 2025. The Prediction Model Risk of Bias Assessment Tool (PROBAST) was used to evaluate the methodological quality of the included studies. Stata 18 software was used to calculate the area under the receiver operating characteristic curve (AUC) of the models, and publication bias assessment, sensitivity analysis, and Egger s test were performed. Results: The total of 12 studies (42 prediction models) involving 58 070 adolescents were included. There were 15 machine learning algorithms in total, among which Random Forest, Logistic Regression, XGBoost, and Support Vector Machines were the most frequently utilized. The most common predictors were gender (female), family function, depression, emotion regulation, and age. All 12 included studies exhibited a high risk of bias. The pooled AUC was 0.80 (95% CI =0.78-0.82), although heterogeneity was substantial ( I 2=95.8%, P <0.01). Sensitivity analysis confirmed the robustness of these findings (no overlap in 95% CI ), while Egger s test indicated the presence of publication bias ( P <0.05). Conclusions Machine learning demonstrates potential in the risk prediction of adolescent NSSI, but existing models have a high risk of bias. Future research should focus on improving methodological quality and optimizing model reliability through rigorous external validation.

Using a novel(OH)n-C60@SiO2@Tm2O3@Ca5(PO4)3(OH)quaternary nano-particles/cross-linked chitosan coated open-tubular capillary column(QNPsC-OTCC)as the analytical column,a new method for highly selective determination of taurine(TAU)in functional drinks using pre-column derivatization capillary electrochromatography coupled with electrochemiluminescence(CEC-ECL)detection was established.In the experiments,it was found that adding hexamethylenetetramine as a co-catalyst in N-methylation derivative reaction could quantitatively convert TAU into a single derivative product that cuold be detected by ECL.With the help of Ru(bpy)32+reagent,the ECL peak intensity of TAU derivative was increased by more than 1000 times compared to the original TAU.In addition,a Ru-containing d-f cyano-bridged heterometallic coordination polymer modified platinum electrode was used instead of a bare platinum electrode as working electrode for ECL detection,which resulted in a further increase of the peak response of TAU derivatives about 5.7 times.Under optimized analytical conditions,by using betastatin hydrochloride(BSH)as the internal standard and simultaneously derivatized with TAU,the relative ratio of peak intensity of TAU and BSH derivatives showed a linear relationship with the initial TAU concentration in a two-segment ranges of 0.2-6.0 mmol/L and 6.0-10 mmol/L.The limit of detection of TAU was 0.09 mmol/L(S/N=3).The developed method was applied to determination of TAU contents in four commercial functional drink samples,and the relative standard deviations(RSDs)for relative intensity ratio were less than 0.9％,and the recoveries were in the range of 95.0％～102.0％,indicating good practicability of the method.

The inclusion complex of taxifolin(TAX)with hydroxypropyl-β-cyclodextrin(HP-β-CD)was prepared by saturated aqueous solution method,and the preparation conditions such as molar ratio,volume ratio of solution,inclusion temperature and inclusion time were selected by single-factor experiment.The orthogonal design of three-level four-factor L9(34)was used to screen the preparation process of the inclusion complex,and the inclusion complex was prepared with optimal preparation process.The prepared inclusion complex was characterized by scanning electron microscopy(SEM),nuclear magnetic resonance(1H NMR,2D NMR),Fourier transform infrared spectroscopy(FT-IR),ultraviolet-visible(UV-Vis)absorption spectroscopy and X-ray powder diffraction(XRD).The inclusion ratio,biostability,solubility and in vitro release of the inclusion complex were investigated.The results of orthogonal experiments showed that the optimum conditions for preparation of the inclusion complex were as follows:the molar ratio of TAX to HP-β-CD was 1:1,the volume ratio of methanol to ultra-pure water was 1:8,the inclusion time was 8 h,and the inclusion temperature was 30℃.Under the optimal conditions,the inclusion ratio between TAX and HP-β-CD was calculated to be 1:1 by Job's curve method.According to the change of UV-vis absorption spectra,the host-guest complexation constant of 4.9488×104 L/mol was obtained by Benesi-Hildebrand curve method.The solubility of TAX increased from 1.2665 mg/mL to 19.3469 mg/mL after inclusion,demonstrating that HP-β-CD could serve as an effective host molecule for TAX,which could significantly enhance the bio-stability and solubility of the formed inclusion complex.

Objective To investigate the correlation between serum levels of long non-coding RNA(Ln-cRNA)-prostate androgen regulated transcript 1(PART1),LncRNA-nucleolar ribonucleic acid host gene 14(SNHG14)and disease stage,cognitive impairment and motor function in patients with Parkinson's disease(PD).Methods A total of 100 PD patients(PD group)who admitted to the Department of Neurology in the hospital from January 2021 to December 2023 and 100 healthy subjects(control group)who underwent the physical examination during the same period of time were selected.According to Hoehn-Yahr staging,PD pa-tients were divided into early stage group(grade 1.0-2.5,20 cases),middle stage group(grade 3.0,48 ca-ses)and late stage group(grade 4.0-5.0,32 cases).According to the Montreal Cognitive Assessment(Mo-CA)score,the patients were divided into normal cognitive group(MoCA score≥26 points,33 cases),PD-mild cognitive impairment group(MoCA score 21-＜26 points,46 cases)and PD dementia group(MoCA score＜21 points,21 cases).According to the Unified Parkinson's Disease Rating Scale(UPDRS)-Ⅲ score,the pa-tients were divided into mild dyskinesia group(0-15 points,29 cases),moderate dyskinesia group(＞15-40 points,46 cases)and severe dyskinesia group(＞40-56 points,25 cases).Real-time fluorescence quantitative PCR was used to detect serum LncRNA-PART1 and LncRNA-SNHG14 levels.Spearman method was used to analyze the correlation between serum LncRNA-PART1,LncRNA-SNHG14 levels and Hoehn-Yahr staging,MoCA score and UPDRS-Ⅲ score in PD patients.Results The level of serum LncRNA-PART1 in PD group was lower than that in control group(P＜0.05),and the level of LncRNA-SNHG14 was higher than that in control group(P＜0.05).The serum levels of LncRNA-PART1 in the middle stage group and late stage groups were lower than those in the early stage group(P＜0.05),and the levels of LncRNA-SNHG14 were higher than those in the early stage group(P＜0.05).In addition,the serum level of LncRNA-PART1 in the late stage group was lower than that in the middle stage group(P＜0.05),and the level of LncRNA-SNHG14 was higher than that in the middle stage group(P＜0.05).The serum LncRNA-PART1 levels in the PD-mild cognitive impairment group and PD dementia group were lower than those in the normal cognitive group(P＜0.05),while the LncRNA-SNHG14 levels were higher than those in the normal cognitive group(P＜0.05).Additionally,the serum LncRNA-PART1 level in the PD dementia group was lower than that in the PD-mild cognitive impairment(P＜0.05),while the LncRNA-SNHG14 level was higher than that in the PD-mild cog-nitive impairment group(P＜0.05).The serum levels of LncRNA-PART1 in the moderate dyskinesia group and severe dyskinesia group were lower than those in the mild dyskinesia group(P＜0.05),and the levels ofLncRNA-SNHG14 were higher than that in the mild dyskinesia group(P＜0.05).In addition,the serum level of LncRNA-PART1 in the severe dyskinesia group was lower than that in the moderate dyskinesia group(P＜0.05),and the level of LncRNA-SNHG14 was higher than that in the moderate dyskinesia group(P＜0.05).Spearman method results showed that serum LncRNA-PART1 level was negatively correlated with Hoehn-Yahr staging and UPDRS-Ⅲ score in PD patients,and positively correlated with MoCA score(P＜0.05).The level of serum LncRNA-SNHG14 was positively correlated with Hoehn-Yahr staging and UPDRS-Ⅲ score in PD patients,and negatively correlated with MoCA score(P＜0.05).Conclusion The level of ser-um LncRNA-PART1 in PD patients is decreased,and the level of LncRNA-SNHG14 is increased,both of them are related to the disease stage,cognitive impairment and motor function of PD patients,which may be-come evaluation indicators for PD progression.

Objective To analyze the results of three nucleic acid detection for Mycoplasma pneumoniae(MP)in children,and explore the epidemiological characteristics of MP infection as well as the features of dif-ferent MP nucleic acid detection methods.Methods A total of 8 575 children who visited the hospital from 2018 to 2023 and had results from three different MP nucleic acid detection methods were enrolled as study subjects.The differences in positive detection rates across different years,genders,and ages,as well as the differences and consistency in positive detection rates among the different MP nucleic acid detection methods,were analyzed.Results The positive detection rate of MP in 2020 and 2021 was lower than that in 2018,2019,2022,and 2023(P＜0.001).The positive detection rate of MP in male patients was lower than that in female patients(P＜0.05).The highest positive detection rate of MP was observed in aged 6 to＜12 years,followed by aged 12 to＜18 years and aged 3 to＜6 years,while the lowest rate was found in aged 0 to＜3 years,with a statistically significant difference(P＜0.001).The MP DNA fluorescent PCR method had the highest posi-tive detection rate(23.15％),followed by the MP RNA isothermal amplification method(12.82％),and the MP RNA dual amplification method had the lowest positive detection rate(11.67％),the differences were sta-tistically significant(P＜0.001).The consistency between MP DNA fluorescent PCR method and MP RNA i-sothermal amplification method was relatively the best(Kappa=0.597,P＜0.001),followed by MP RNA i-sothermal amplification method and MP RNA dual amplification method(Kappa=0.564,P＜0.001),the consistency between MP DNA fluorescence PCR and MP RNA double amplification was the worst(Kappa=0.466,P＜0.001).Conclusion The positive rate of MP decreased significantly in 2020 and 2021,and the posi-tive rate of MP was the highest in 6 to＜12 years old.There were significant differences in the positive rate of MP among different nucleic acid detection methods.

Objective:To investigate the dynamic changes of plasma high-mobility group box 1 (HMGB1) and its correlation with functional outcome and symptomatic intracranial hemorrhage (sICH) after endovascular treatment (EVT) in patients with acute large vessel occlusion stroke (ALVOS).Methods:Patients with ALVOS admitted to the Department of Neurology, Zengcheng District, Nanfang Hospital, Southern Medical University from June 2021 to April 2023 were included retrospectively. Plasma HMGB1 before EVT and at 6, 24, and 48 hours after procedure was detected, and the dynamic changes of plasma HMGB1 were compared and analyzed. The primary endpoint was the functional outcome evaluated using the modified Rankin Scale at 90 days of onset. A score of 0-2 was defined as good outcome and >2 was defined as poor outcome. The secondary endpoint was sICH, which was defined as the occurrence of hemorrhagic infarction after EVT and an increase of ≥4 in the National Institutes of Health Stroke Scale (NIHSS) score from baseline. Multivariate logistic regression analysis was used to evaluate the predictive value of HMGB1 for poor outcome and sICH. Results:A total of 73 patients with ALVOS received EVT were included. There were 54 males (74.0%), aged 62±12 years. The median time from onset to door was 90 minutes (interquartile range, 40-180 minutes), and the median time from onset to femoral artery puncture was 181 minutes (interquartile range, 140-280 minutes). Twenty-nine patients (39.7%) underwent bridging intravenous thrombolysis (IVT). At 90 days after onset, 37 patients (50.7%) had poor outcome, and 12 (16.4%) died during follow-up. Eleven patients (15.1%) developed sICH. After EVT, plasma HMGB1 showed a temporal increase, reaching its peak at 48 hours (median, 102.57 μg/L). Subgroup analysis showed that HMGB1 in the bridging IVT group at 6 hours ( P<0.05) and 24 hours ( P<0.05) after procedure were significantly higher than that at baseline. The non-bridging IVT group showed a significant increase at 6 hours after procedure ( P<0.05). There was no statistically significant difference in HMGB1 between the bridging IVT group and the non-bridging IVT group at the same time point. Multivariate logistic regression analysis showed that after adjusting for age, ischemic heart disease, triglycerides, uric acid, baseline NIHSS score, and sICH, the third quartile (adjusted odds ratio 7.087, 95% confidence interval 1.243-40.419; P=0.027) and fourth quartile (adjusted odds ratio 7.544, 95% confidence interval 1.260-45.172; P=0.027) of plasma HMGB1 were independent risk factors for poor outcome at 6 hours after procedure. The postoperative plasma HMGB1 in the sICH group was significantly higher than that in the non-sICH group ( P<0.05), but multivariate analysis showed no independent correlation between plasma HMGB1 and sICH. Conclusion:The elevation of plasma HMGB1 in patients with ALVOS at 6 hours after EVT is independently associated with poor outcome at 90 days after onset, but not with sICH.

Objective: To construct a deep learning model based on convolutional neural network(CNN)-long short term memory network(LSTM)-Attention to explore the correlation between meteorological and clinical factors and the incidence of ischemic stroke. Methods: A fusion model CNN-LSTM-Attention based on CNN, LSTM, and Attention was constructed by incorporating clinical data and meteorological data of ischemic stroke inpatients. The predictive performance of the model was evaluated by maximum prediction error and root mean square error(RMSE). The impact of different lag days on prediction performance was investigated by selecting lag periods ranging from 1 to 7 days. Results: In both short-term and long-term predictions, the CNN-LSTM-Attention fusion model(short-term: 1.5 and 0.6; long-term: 8.3 and 2.5) showed superior maximum prediction bias and RMSE compared to the LSTM model(short-term: 2.8 and 1.2; long-term: 19.5 and 5.5) and the CNN-LSTM model(short-term: 2.0 and 0.8; long-term: 11.2 and 3.3). After incorporating lag days, the maximum prediction deviation and RMSE for lags of 3 days(short-term: 0.7 and 0.4; long-term: 5.5 and 1.9) and 5 days(short-term: 0.8 and 0.3; long-term: 6.5 and 2.0) in both short-term and long-term forecasts were smaller than lags of 0 days(short-term: 1.5 and 0.6; long-term: 8.3 and 2.5). The maximum prediction deviation and RMSE in the short-term forecast were greater than lag 0 days for both lag 1 days(1.5 and 0.8) and lag 7 days(1.9 and 0.9). In the long-term forecast, the two indicators for lag 1 days(6.8 and 2.4) were lower than those for lag 0 days but higher than those for lag 3 days and 5 days. The maximum prediction deviation for lag 7 days(7.5) was lower than that for lag 0 days, but the RMSE(2.7) is higher than that for lag 0 days. Conclusion The established CNN-LSTM-Attention model demonstrates significant predictive value for the onset of ischemic stroke and can provide reference for the rational allocation of medical resources.

Objective To explore the effect of hydrogen molecules on the psychological state of submariners after long voyage.Methods A total of 197 submariners who had participated in a long-voyage mission were selected as the research objects by cluster sampling.They were randomly assigned to observation group or control group.The observation group was given hydrogen inhalation and hydrogen-enriched drinking water for 30 days,while the control group was given air inhalation and purified water.Before and after the intervention,mental health status was assessed by the Symptom Checklist 90(SCL-90),Self-rating Anxiety Scale(SAS),and Self-rating Depression Scale(SDS).The cognitive ability,such as digit conversion,visual memory,tracking goal,and number span were tested.Results After the intervention,the score of each dimension and positive items of SCL-90,as well as the total scores of SAS and SDS were decreased in both groups(P<0.05 or P<0.01),and the scores of depression and anxiety and positive items of SCL-90,as well as the total scores of SAS and SDS in the observation group were lower than those in the control group(P<0.01).The single correct response time for digit conversion in the observation group was shorter than that in the control group(P<0.01).Conclusion Hydrogen molecule can improve mental health and cognitive performance of submariners after long voyage.