ObjectiveTo address the limitations of the current quality standard for Polygalae Radix（PR）， which relies on a single component for quality assessment and struggles to holistically control its intrinsic quality， by constructing a comprehensive quality evaluation system integrating "macro-characterization of chemical profile， synchronous quantification of multiple index components， and quantitative analysis of multi-components by single marker（QAMS） for key component groups". This study aims to facilitate the scientific revision of the quality standard for PR. MethodsHigh performance liquid chromatography（HPLC） characteristic chromatograms were established for 11 batches of PR medicinal materials（YZ）， 10 batches of PR decoction pieces（YP）， and 10 batches of licorice-processed PR decoction pieces（ZYZ）， followed by similarity evaluation and identification of common peaks. HPLC-QAMS was developed for xanthones（sibiricaxanthone B， polygalaxanthone Ⅺ， polygalaxanthone Ⅲ） in the characteristic chromatograms. Simultaneously， the external standard method（ESM） was used to determine the contents of the corresponding xanthones and 3，6'-disinapoyl sucrose in YZ， YP， and ZYZ， followed by multivariate statistical analysis and Spearman correlation analysis. ResultsThe similarity between the characteristic chromatograms of 31 batches of PR samples and the reference chromatogram was>0.9. A total of 13 common peaks were identified， and 10 of these peaks were characterized through reference standard comparison. The successfully constructed QAMS method showed that the relative correction factors（RCFs） of sibiricaxanthone B and polygalaxanthone Ⅺ to polygalaxanthone Ⅲ were 0.76 and 0.88， and their relative retention times（RRTs） were 0.85 and 0.97， respectively. The results calculated by the QAMS method showed no significant difference from those obtained by the ESM. According to the limit standard for polygalaxanthone Ⅲ in the 2020 edition of the Pharmacopoeia of the People's Republic of China（hereinafter referred to as the Chinese Pharmacopoeia）， the pass rate of 31 batches of samples was only 19.35%. Multivariate statistical analysis indicated certain compositional differences between different batches of YZ and YP， as well as between YP and ZYZ， with 3，6'-disinapoyl sucrose identified as the main differentiating component. Furthermore， correlation analysis revealed that the content of polygalaxanthone Ⅲ was positively correlated with the contents of sibiricaxanthone B and polygalaxanthone Ⅺ， but showed no association with the content of 3，6'-disinapoyl sucrose. ConclusionIt is recommended that the content limit for polygalaxanthone Ⅲ in YZ，YP and ZYZ be revised to not less than 0.07%， or the total content of polygalaxanthone Ⅲ， sibiricaxanthone B and polygalaxanthone Ⅺ be not less than 0.18%. The newly established triple quality control model of "holistic control via characteristic chromatograms， precise quantification of oligosaccharide esters， and efficient detection of xanthones by QAMS" provides a systematic and precise solution for quality evaluation of PR and similar Chinese herbal medicines.

OBJECTIVE To investigate the neuroprotective effect and mechanism of eleutheroside B （ELB） on Parkinson’s disease （PD） model mice by regulating the IκB kinase β （IKKβ）/nuclear factor-κB （NF-κB） signaling pathway. METHODS Fifty mice were randomly divided into normal control group， model group， positive control group （selegiline hydrochloride， 10 mg/kg）， and ELB low-dose and high-dose groups （80， 160 mg/kg）， with 10 mice in each group. Each group was given relevant medicine or normal saline intragastrically for 14 consecutive days. Starting from the 10th day of administration， the model group and all administration groups were intraperitoneally injected with 1-methyl-4-phenyl-1，2，3，6-tetrahydropyridine （MPTP） 30 mg/kg， for five consecutive days to establish the chronic PD model. After the last administration for 24 h， six mice were randomly selected from each group to test their behavioral abilities； detect the levels of interleukin-1β （IL-1β）， IL-10， tumor necrosis factor-α （TNF-α） in brain tissue and their mRNA expressions were measured， and positive expression of tyrosine hydroxylase （TH）， protein expressions of TH， α -synuclein （ α -syn）， ionized calcium-binding adaptor molecule 1 （Iba-1）， as well as phosphorylation levels of IKKβ and NF-κB p65 proteins in the brain tissue were detected. The ultrastructure of neurons in substantia nigra was observed. RESULTS Compared with the model group， rotarod endurance time and climbing score of each administration group （except for the ELB low-dose group） were increased significantly （ P ＜0.05）， while the levels and mRNA expressions of IL-1β， TNF-α， α -syn， and Iba-1， as well as phosphorylation levels of IKKβ and NF-κB p65 proteins in brain tissue were decreased significantly （except for TNF-α in the ELB low-dose group）. Conversely， the level and mRNA expression of IL-10 （except for the ELB low-dose group）， TH positive expression and protein expressions were significantly increased （ P ＜0.05）. Typical neurodegenerative pathological changes， such as neuronal karyopyknosis， mitochondrial swelling and vacuolization， and endoplasmic reticulum dilation， all showed varying degrees of improvement. CONCLUSIONS ELB may exert neuroprotective effects by inhibiting the activation of the IKKβ/NF-κB signaling pathway， alleviating inflammatory responses， reducing abnormal α -syn aggregation and neuronal loss， and further improving motor dysfunction in PD mice.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To evaluate the application value of artificial intelligence (AI) in the quality control of mammographic images and explore its feasibility for improving image quality. Methods A retrospective analysis was conducted on 500 mammographic images from 125 female patients. These images were acquired in December 2024 at the Department of Radiology, Obstetrics and Gynecology Hospital of Tongji University by two junior technologists with qualification certificate for junior radiologic technologists and ≤ 2 months of independent operation. The reference standard was the evaluation by a panel of senior experts comprising one associate chief radiologist and two intermediate radiologic technologists with over 10 years of experience in mammography. The evaluation was based on nine criteria within an AI quality control system. The correlation and consistency (Kappa test) of the assessment outcomes were compared among the junior technologist group, the AI quality control group, and the panel group. Additionally, the differences in the proportions of high-, medium-, and low-quality images rated by the three groups were analyzed. After one month of AI assistance, 200 images from 50 additional patients acquired by the same two junior technologists in January 2025 were collected. The area under the receiver operating characteristic curve and 95% confidence interval (95%CI) were calculated for the assessment performance of the junior technologist group before and after AI assistance. Differences were compared using the DeLong test. Changes in the disqualification rates for the nine criteria were analyzed. Results In consistency analysis, the AI quality control group showed high consistency with the panel group across multiple key criteria, with Kappa values ranging from 0.41 to 1.00. In contrast, the consistency between the junior technologist group and the panel group was generally low, with Kappa values ranging from 0.13 to 0.49. In comparison of image quality classification, no significant differences were observed in image quality classification between the AI group and the panel group (P>0.05). However, the proportion of images rated as high quality by the junior technologist group was significantly higher, while the proportions rated as medium and low quality were significantly lower, compared to those rated by the panel group (P<0.05). After AI assistance, the area under the receiver operating characteristic curve for the assessment performance of junior technologist group increased significantly from 0.56 (95%CI: 0.51-0.61) to 0.91 (95%CI: 0.87-0.94) (P<0.001). The disqualification rates for skin folds, incomplete inclusion of the pectoralis major muscle, and nipple not in profile decreased significantly. Conclusion AI demonstrates assessment capability comparable to the panel group in mammographic quality control. AI effectively enhances the quality of images acquired by junior technologists through real-time, objective feedback.

Objective To investigate the DSA imaging characteristics and efficacy of interventional treatment for post-pancreaticoduodenectomy hemorrhage(PPH),and to analyze the factors influencing recurrent bleeding following successful interventional hemostasis.Methods Clinical data of patients who underwent interventional treatment for PPH between January 2013 and December 2022 were retrospectively analyzed.All patients underwent DSA examination,and interventional therapy was the primary treatment option for patients with positive findings.Statistical analysis was performed on DSA angiography manifestations,bleeding sites,success rate of interventional treatment and hemostasis effectiveness.Univariate and multivariate logistic regression analysis were used to analyze the independent risk factors for rebleeding after interventional treatment for PPH.Results A total of 139 patients with PPH were included in this study.All 139 patients underwent DSA examination,with a positive rate of 82.01％(114/139)in the first examination.Major angiographic manifestations included contrast agent extravasation,pseudoaneurysm,and disrupted vascular architecture;bleeding sites included gastroduodenal artery in 45 cases(39.47％),hepatic artery in 22 cases(19.30％),and superior mesenteric artery in 32 cases(28.07％).107 patients underwent interventional treatment(81 embolization and 26 stenting),with a success rate of 91.59％(98/107).The independent risk factors for recurrent bleeding after interventional treatment in patients with PPH included preoperative bleeding(P＜0.001)and pancreatic fistula(P=0.041).Conclusion Interventional procedures for PPH can be efficient in diagnosis and treatment,with a high success rate and effective hemostasis.However,it should be noted that some patients remain at risk of recurrent bleeding after successful interventional hemostasis.

Objective To systematically search,evaluate,and summarize the evidence for risk management of breast and ovarian cancers in carriers of breast cancer susceptibility gene 1/2(BRCA1/2)mutations.Methods A systematic search was conducted in BMJ Best Practice,UpTo-Date,the National Guideline Clearinghouse(NGC),the National Institute for Health and Care Ex-cellence(NICE),the Scottish Intercollegiate Guidelines Network(SIGN),the Guidelines Interna-tional Network(GIN),the New Zealand Guidelines Group(NZGG),the Canadian Medical Associa-tion Infobase(CMA InfoBase),the Registered Nurses' Association of Ontario(RNAO),the National Comprehensive Cancer Network(NCCN),Cancer Care Ontario(CCO),the Medlive website,the American Society of Clinical Oncology(ASCO),the European Society for Medical Oncology(ESMO),the American Cancer Society(ACS),the American College of Obstetricians and Gynecologists(ACOG),the Joanna Briggs Institute(JBI),the Cochrane Library,PubMed,Web of Science,Em-base,CINAHL,ProQuest,ClinicalTrials.gov,China National Knowledge Infrastructure,Wanfang Data,VIP Database,and SinoMed for evidence related to risk management of breast and ovarian canc-ers in BRCA1/2 mutation carriers,including clinical decisions,guidelines,systematic reviews,expert consensus,and evidence summaries.The search period was from the inception of each database to September 20,2024.Results A total of 14 articles were included,comprising 1 clinical decision,8 guidelines,and 5 expert consensus documents.Based on five themes-risk assessment,risk moni-toring,risk-reducing surgery,pharmacologic prevention,and health guidance,a total of 24 pieces of evidence were summarized.Conclusion The evidence summarization process in this study is standardized,and the summarized evidence is relatively comprehensive.Healthcare professionals should comprehensively consider patients' individual characteristics,family history,personal prefer-ences,and the accessibility of healthcare resources to achieve effective prevention and control of he-reditary tumor risks.

Objective To investigate the expression and significance of 25-hydroxyvitamin D[25(OH)D],immune cell subsets,and helper T cell(Th)1 and Th2 in patients with unexplained recurrent spontaneous abortion(URSA).Methods A total of 307 URSA patients were enrolled as URSA group,which was further divided into non-maintenance of pregnancy group(n=127)and ma-intenance of pregnancy group(n=180)based on pregnancy maintenance status.Another 307 healthy pregnant women in the same period were selected as control group.The levels of 25(OH)D,immune cell subsets,and Th1/Th2 expression were compared among these groups.Pearson correlation analy-sis was used to explore the correlations of 25(OH)D and immune cell subsets with Th1/Th2 expres-sion in URSA patients.Results Compared with the control group,the URSA group had significantly lower levels of 25(OH)D and interleukin-10(IL-10),and higher levels of CD3+,CD3+CD4+,CD3+CD8+,CD4+/CD8+,CD16+CD56+,CD19+,interleukin-2(IL-2),and tumor necrosis fac-tor-α(TNF-α)(P＜0.001).Compared with the maintenance of pregnancy group,the non-maintenance of pregnancy group had significantly lower levels of 25(OH)D and IL-10,and higher levels of CD3+,CD3+CD4+,CD3+CD8+,CD4+/CD8+,CD16+CD56+,CD19+,IL-2,and TNF-α(P＜0.001).Pearson analysis revealed that 25(OH)D in URSA patients was significantly negatively correlated with IL-2 and TNF-α(P＜0.05),while positively correlated with IL-10(P＜0.05).Immune cell sub-sets,including CD3+,CD3+CD4+,CD3+CD8+,CD4+/CD8+,CD16+CD56+,and CD19+were significantly positively correlated with IL-2 and TNF-α(P＜0.05),while negatively correlated with IL-10 in URSA patients(P＜0.05).Conclusion There are abnormalities in 25(OH)D,im-mune cell subsets,and Th1/Th2 cytokine expression in URSA patients,and these expressions differ in URSA patients with different pregnancy outcomes.The underlying mechanism may be related to the regulation of Th1/Th2 cytokine balance.

Objective To investigate the expression levels of LINC02009 and LOC107984895 in peripheral lymphocytes of patients with atrial fibrillation and their clinical significance.Methods A total of 75 hospitalized patients with atrial fibrillation(50 with persistent atrial fibrillation and 25 with paroxysmal atrial fibrillation)from Kunming First People's Hospital between January 2023 and December 2023 were selected as study subjects,along with 50 normal control patients.Real-time quantitative PCR was used to detect the expression levels of LINC02009 and LOC107984895 in peripheral blood leukocytes of patients with atrial fibrillation.Logistic regression analysis was employed to assess the relationship between expression levels and risk factors for atrial fibrillation,and ROC curves were used to predict the diagnostic cut-off values for LINC02009 and LOC107984895 in diagnosing atrial fibrillation.Results There were statistically significant differences in baseline diseases such as hypertension and coronary heart disease,biochemical indicators such as Cr and BNP,and myocardial remodeling indicators such as LAd and LVEF between the AF(paroxysmal atrial fibrillation and persistent atrial fibrillation)group and the Normal group(P＜0.05).The expression levels of LINC02009 and LOC 107984895 in the plasma of the atrial fibrillation group were significantly higher than those in the control group(P＜0.05)and were negatively correlated with LVEF(P＜0.05).The areas under the curve(AUC)of LINC02009 and LOC 107984895 in predicting atrial fibrillation were 0.967(95％CI:0.938～0.995)and 0.900(95％CI:0.838～0.963),respectively.The optimal cut-off values were 1.985 and 0.915,with sensitivities of 88％and 76％,respectively,and specificities of 94％and 90％,respectively.Conclusion LINC02009 and LOC 107984895 are independent risk factors for atrial fibrillation and have certain predictive value for the occurrence of atrial fibrillation.

Objective To analyze the current status of occupational stress among primary and secondary school teachers, and explore the dose-response relationship between weekly work hours and occupational stress. Methods A total of 1 252 teachers from 13 primary and secondary schools in three prefecture-level cities of a central province of China were selected as the research subjects by the convenience sampling method. The Core Occupational Stress Scale was used to assess occupational stress levels of the teachers. Multivariate logistic regression analysis combined with restricted cubic spline models was applied to study the dose-response relationship between weekly work hours and occupational stress. Results The average weekly work hours were (55.3±15.9) hours, with 78.6% of teachers working more than 40.0 hours per week. The total score of occupational stress was (40.3±8.2) points, and the detection rate of occupational stress was 29.8%. Multivariate logistic regression analysis combined with restricted cubic spline models revealed a linear dose-response relationship in weekly work hours and occupational stress among teachers (P for overall trend <0.05, P for nonlinearity was 0.22). Result of age-stratified analysis showed that weekly work hours had a linear dose-response relationship with occupational stress risk in teachers aged 21-<31 and 31-<46 years (P for overall trend <0.05, P for nonlinearity was 0.71 and 0.27, respectively). However, no association was found between weekly work hours and occupational stress risk among teachers aged ≥46 years (P for overall trend =0.08, P for nonlinearity was 0.09). Conclusion There is a linear dose-response relationship between weekly work hours and occupational stress among primary and secondary school teachers in the province, with younger teachers being more susceptible to suffer occupational stress due to long working hours.