Aim To explore the possible mechanism of "component-target-pathway" of Radix Hedysari against target organ damage caused by radiotherapy and chemotherapy, and to verify the " dose-effect" relationship of the main active components. Methods TCMSP, Uniprot, Swiss Target Prediction, GeneCards, Cytoscape, Omicshare and other platforms were used for network pharmacology analysis. Autodock, Pymol and Ligplot were used for molecular docking. The water extract of Radix Hedysari was used for animal experiment verification. The contents of eight main components were determined by HPLC. Results Four active components, eight key targets and four key pathways of Radix Hedysari were identified to resist the damage of target organs caused by radiotherapy and chemotherapy. Molecular docking showed that formononetin and quercetin had good binding activity with HSP90AA1, naringenin and MAPK3, and ursolic acid and TP53. Animal experiments showed that gastrointestinal factors MTL and VIP increased significantly, liver and kidney factors Cr, BUN, AST and ALT decreased significantly, inflammatory factor IL-10 increased significantly and TNF-a decreased significantly. The content of ononm was the highest (2 . 884 8 µg • g "

Objective:To investigate the rates of low disease activity and clinical remission in patients with systemic lupus erythematosus(SLE)in a real-world setting,and to analyze the related factors of low disease activity and clinical remission.Methods:One thousand patients with SLE were enrolled from 11 teaching hospitals.Demographic,clinical and laboratory data,as well as treatment regimes were collec-ted by self-completed questionnaire.The rates of low disease activity and remission were calculated based on the lupus low disease activity state(LLDAS)and definitions of remission in SLE(DORIS).Charac-teristics of patients with LLDAS and DORIS were analyzed.Multivariate Logistic regression analysis was used to evaluate the related factors of LLDAS and DORIS remission.Results:20.7％of patients met the criteria of LLDAS,while 10.4％of patients achieved remission defined by DORIS.Patients who met LLDAS or DORIS remission had significantly higher proportion of patients with high income and longer disease duration,compared with non-remission group.Moreover,the rates of anemia,creatinine eleva-tion,increased erythrocyte sedimentation rate(ESR)and hypoalbuminemia was significantly lower in the LLDAS or DORIS group than in the non-remission group.Patients who received hydroxychloroquine for more than 12 months or immunosuppressant therapy for no less than 6 months earned higher rates of LLDAS and DORIS remission.The results of Logistic regression analysis showed that increased ESR,positive anti-dsDNA antibodies,low level of complement(C3 and C4),proteinuria,low household in-come were negatively related with LLDAS and DORIS remission.However,hydroxychloroquine usage for longer than 12 months were positively related with LLDAS and DORIS remission.Conclusion:LLDAS and DORIS remission of SLE patients remain to be improved.Treatment-to-target strategy and standar-dized application of hydroxychloroquine and immunosuppressants in SLE are recommended.

Objective To investigate the feasibility of developing a grading diagnostic model for schistosomiasis-induced liver fibrosis based on B-mode ultrasonographic images and clinical laboratory indicators. Methods Ultrasound images and clinical laboratory testing data were captured from schistosomiasis patients admitted to the Second People’s Hospital of Duchang County, Jiangxi Province from 2018 to 2022. Patients with grade I schistosomiasis-induced liver fibrosis were enrolled in Group 1, and patients with grade II and III schistosomiasis-induced liver fibrosis were enrolled in Group 2. The machine learning binary classification tasks were created based on patients’radiomics and clinical laboratory data from 2018 to 2021 as the training set, and patients’radiomics and clinical laboratory data in 2022 as the validation set. The features of ultrasonographic images were labeled with the ITK-SNAP software, and the features of ultrasonographic images were extracted using the Python 3.7 package and PyRadiomics toolkit. The difference in the features of ultrasonographic images was compared between groups with t test or Mann-Whitney U test, and the key imaging features were selected with the least absolute shrinkage and selection operator (LASSO) regression algorithm. Four machine learning models were created using the Scikit-learn repository, including the support vector machine (SVM), random forest (RF), linear regression (LR) and extreme gradient boosting (XGBoost). The optimal machine learning model was screened with the receiver operating characteristic curve (ROC), and features with the greatest contributions to the differentiation features of ultrasound images in machine learning models with the SHapley Additive exPlanations (SHAP) method. Results The ultrasonographic imaging data and clinical laboratory testing data from 491 schistosomiasis patients from 2019 to 2022 were included in the study, and a total of 851 radiomics features and 54 clinical laboratory indicators were captured. Following statistical tests (t = −5.98 to 4.80, U = 6 550 to 20 994, all P values < 0.05) and screening of key features with LASSO regression, 44 features or indicators were included for the subsequent modeling. The areas under ROC curve (AUCs) were 0.763 and 0.611 for the training and validation sets of the SVM model based on clinical laboratory indicators, 0.951 and 0.892 for the training and validation sets of the SVM model based on radiomics, and 0.960 and 0.913 for the training and validation sets of the multimodal SVM model. The 10 greatest contributing features or indicators in machine learning models included 2 clinical laboratory indicators and 8 radiomics features. Conclusions The multimodal machine learning models created based on ultrasound-based radiomics and clinical laboratory indicators are feasible for intelligent identification of schistosomiasis-induced liver fibrosis, and are effective to improve the classification effect of one-class data models.

Children and adults differ significantly in physiology,biochemistry and immune function,which leads to sig-nificant differences in blood transfusion strategies between children and adults.To guide the clinical transfusion practice of pediatric patients and improve the prognosis of children,the National Health Commission organized the formulation and re-lease of the health industry standard Guideline for Pediatric Transfusion(WS/T 795-2022).This paper will briefly introduce some concepts that help understand of the Standard and the preparation process of the Standard,and explain and interpret the preparation of the"scope","general provisions"and"factors to consider"of the Standard,hoping to contribute to the understanding and implementation of the Standard.

Objective To identify meaningful objective examination methods by analyzing the results of vari-ous objective examinations of children with recurrent vertigo(RVC).Methods Fifty children with RVC(29 in ver-tigo attacking group,21 in vertigo non-attacking group)and 20 children without RVC were selected.All partici-pants underwent a series of relevant objective examinations,the results of each examination were statistically ana-lyzed and the characteristic differences of each examination between the RVC group and the control group were ob-tained.Results ① The abnormal rate of sleep SpO2,high stimulation rate ABR and AHI in the RVC group were significantly higher than those in the control group(P＜0.05).② The abnormal rate of sleep SpO2 and high stimu-lation rate ABR in the vertigo attacking group were higher than those in the vertigo non-attacking group.There was a statistical difference between the two groups(P＜0.05).③ Pure tone audiometry(or conditioned play audiome-try),acoustic immittance,cranial MRI,positional test and vHIT were normal in both RVC group and normal con-trol group.Conclusion Continuous sleep SpO2 and high stimulation rate ABR are correlated with RVC,especially RVC during vertigo attacking.AHI is correlated with RVC,but not with the onset of vertigo.Clinically,continu-ous sleep SpO2 monitoring,PSG and high stimulation rate ABR can be used as auxiliary examinations for the diagno-sis of RVC.

Extremely unbalanced data here refers to datasets where the values of independent or dependent variables exhibit severe unbalance in proportions, such as extremely unbalanced case-control ratio, very low incidence rate of disease, heavily censored time-to-event data, and low-frequency or rare variants. In such scenarios, the statistic derived from hypothesis test using the classical statistical method, e.g., logistic regression model and Cox proportional hazard regression model, might deviate from theoretical asymptotic distribution, resulting in inflation or deflation of type I error. With the increased availability and exploration of resources from large-scale population cohorts in genome-wide association study (GWAS), there is a growing demand for effective and accurate statistical approaches to handle extremely unbalanced data in independent and non-independent samples. Our study introduces classical statistical methods in genetic statistics firstly, then, summarizes the failure of classical statistical methods in dealing with extremely unbalanced data through simulation experiments to draw researchers' attention to the extremely unbalanced data in GWAS.

Objective To explore the effect of urine mixing degree on 24-hour urinary total protein(24 h UTP)in patients with chronic kidney disease(CKD).Methods From October 1,2023 to December 31,2023,30 hospitalized patients who needed to complete 24 h UTP testing in Zhongshan Hospital,Fudan University were selected.A 5 L unified container was used to collect urine for 24 hours.After collection and one hour's standing,the urine sample was divided into upper,middle,and lower equal parts according to volume,which was defined as direct-sampling group.Then,the urine samples were fully mixed with a magnetic stirrer and sampled again according to the above-mentioned three-equal sampling method,which was defined as mixed-sampling group.The generalized estimating equation was used to compare the urinary protein concentration before and after mixing and at different sampling location.Results The results of generalized estimating equation showed that after controlling the variable"sampling position",there was no significant difference in urinary protein concentration between the direct-sampling group and the mixed-sampling group.After controlling the variable"mixing method",there was still no significant difference in urinary protein concentration at different sampling positions.After adjusting the covariates such as age,gender,and estimated glomerular filtration rate(eGFR),the results were consistent.Conclusions With standard protocol,the entire 24-hour urine sample is a relatively even-distributed solution.After the total urine collection is completed,the temporary sample can be directly extracted from any level of the original urine within 1 hour,and the urine protein concentration of the sample multiplied by the urine volume can reflect the 24 h UTR.

Objective To investigate the effect of long non-coding RNA(lncRNA)macrophage migration inhibitory factor antisense RNA1(MIF-AS1)on the malignant biological behavior of prostate cancer(PC)cells by regulating the miR-423-5p/pyrroline-5-carboxylic acid reductase 1(PYCR1)axis.Methods PC3 cells were cultured in vitro to knock down the expression of MIF-AS1 or down-regulate the expression of miR-423-5p.The expression of MIF-AS1,miR-423-5p and PYCR1 mRNA in tumor tissues and adjacent tissues and cells of PC patients were detected.The cell proliferation,apoptosis,migration,and invasion were detected and the expression of PYCR1 protein was detected by Western blot.The relationships between miR-423-5p,IF-AS1 and PYCR1 were verified.Results The MIF-AS1 and PYCR1 mRNA were observed to be highly expressed in the tumor tissues,while miR-423-5p was lowly expressed.Silenced MIF-AS1 inhibited the proliferation,migration and invasion of PC3 cells and up-regulated miR-423-5p induced cell apoptosis(P＜0.05).Inhibition of miR-423-5p expression reversed the inhibitory effect of silencing MIF-AS1 on malignant behavior of PC3 cells(P＜0.05).miR-423-5p was correlated with MIF-AS1 and PYCR1 by targeted regulation.Conclusion Silencing MIF-AS1 may inhibit the expression of PYCR1 by up-regulating miR-423-5p,thereby inhibiting the malignant behavior of PC cells.

Objective To determine the median effective dose(ED50)of ropivacaine for spinal anesthesia in sub-high altitude cesarean sections.Methods A total of 30 parturients from sub-high altitudes received initial 14 mg(1.4 mL)of 1%ropivacaine intrathecally.Effectiveness was defined by sensory block to T6 within 15 minutes without additional epidural anesthesia.Doses were adjusted by±1 mg based on response.ED50 and 95%CI were estimated using Dixon's method and isotonic regression.Adverse reactions were noted.Results Thirty parturients with an average age of(30.88±5.56)years,gestational weeks of(40±1.41)weeks,height of(156.69±5.80)cm,and weight of(67.44±10.48)kg were studied.The ED50 was 10.68 mg(95%CI:9.65-12.58 mg)by Dixon's method and 10.33 mg(95%CI:9.41-12.07 mg)by isotonic regression.Intraoperatively,8 cases of hypotension,1 case of bradycardia,and 7 cases of nausea and vomiting were observed,no hypertension or shivering occurred among the parturients.Conclusion The ED50 for ropivacaine in sub-high altitude cesarean sections is 10.68 mg,which is higher than the currently known ED50 required for patients in plain areas.

Objective:To employ qualitative research methods to evaluate the sustainability of the Shandong-Ministry of Health Action on Salt and Hypertension (SMASH) interventions and their influencing factors.Method:In September 2023, interviewees meeting the inclusion criteria were recruited through purposive sampling in Jinan, Shandong Province. A semi-structured interview guide was designed based on the CFIR and RE-AIM frameworks. Personal in-depth interviews and focus group discussions were conducted to gather insights on the feasibility, effectiveness, and sustainability of the project interventions from various stakeholders, including representatives from the government, food manufacturers, restaurants, academia, and residents.Results:A total of 15 individuals participated in in-depth interviews, involving six representatives from food manufacturers, four from restaurants, three from the government, and two from academia. There were four focus group discussions with 30 residents. The study found that at the individual resident level, health awareness and the availability of sodium reduction tools in the market could affect their salt reduction practices. For food manufacturers and restaurants, consumers′ preferences, technical challenges in reformulation, and government support were key factors determining the smooth progress of their salt reduction efforts. At the governmental level, multi-sectional coordination, chronic disease management demonstration areas, and the impact of the pandemic were the main factors influencing the implementation of sodium reduction interventions.Conclusion:Future endeavours should strengthen long-term management and optimise the complex influencing factors associated with intervention measures. This will be essential in sustaining and expanding the positive health outcomes achieved through the Shandong population sodium reduction strategy.