OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.

To evaluate patient satisfaction levels in a gynecological teaching clinic and to explore its associated influencing factors, so as to provide evidence for optimizing the operational model of teaching clinics.

Objective To investigate the relationship between high DNA stainability(HDS)and routine semen parameters.Methods Semen samples were collected from 396 men of childbearing age who were admitted to our department.Correlations of HDS with routine semen parameters and age were analyzed.Multiple linear regression analysis was performed to identify the routine semen parameters that had the greatest influence on HDS.The correlation of HDS and DNA fragmentation index(DFI)with routine semen parameters and age in 244 patients with teratozoospermia was analyzed.The 244 patients were divided into extremely severe,severe,moderate,and mild teratozoospermia groups,and differences in HDS,DFI,and routine semen parameters were compared among the four groups.Results HDS was negatively correlated with total sperm count,sperm concentration,sperm progressive motility,and normal sperm morphology rate(NSMR)(P<0.01).After adjusting for potential confounders,including total sperm count,sperm concentration,sperm progressive motility,NSMR,and DFI,NSMR had the most significant negative effect on HDS(P<0.05).In the 244 patients with teratozoospermia,HDS was negatively correlated with NSMR(P<0.01)and positively correlated with the percentage of sperm head and tail abnormalities(P<0.05),while DFI was positively correlated with the percentage of sperm tail abnormalities(P<0.01).There was a significant difference in the percentage of sperm head abnormalities among the four teratozoospermia groups.The more severe the malfor-mation,the higher the percentage of sperm head abnormalities was(P<0.001).HDS in the extremely severe teratozoospermia group was significantly higher than that in the mild and moderate teratozoospermia groups(P<0.05).No significant differences in DFI were found among the four groups(P>0.05).Conclusion HDS was closely correlated with routine semen parameters and was a crucial biomarker for assessing sperm quality,particularly the extent of sperm head abnormalities.

Objective:To investigate the influence of genetic and environmental factors on the clinical characteristics of upper urinary tract calculi in pediatric patients.Methods:This study was a retrospective case series. The clinical data of 179 children under the age of 14 with upper urinary tract calculi treated at Beijing Friendship Hospital，Capital Medical University，from August 2014 to February 2023 were analyzed. There were 121 males（67.60%）and 58 females（32.40%），with a median age at onset of 2.10（1.14，5.17）years. Thirty-three cases（18.44%）had a family history of urinary stone disease. Stone characteristics was defined by CT，with a median stone burden（sum of the diameters of all stones）of 1.3（1.00，1.60）cm. Fifty-four（30.17%）children had staghorn calculi. Multiple stones were present in 92 cases（51.40%），and bilateral stones in 52 cases（29.05%），with hydronephrosis was present in 119 children（66.48%）. The median follow-up time was 67 months，and 36 children（20.11%）experienced stone recurrence. Dietary habits and related information were collected by electronic questionnaire，including a total of 115 children（64.25%）with an unbalanced diet，101（56.42%）with insufficient water intake，and 32 children（17.88%）with a preference for a high-protein diet. Tap water was used as the source of drinking water by 128 patients（71.51%），and 107（59.78%）took dietary supplements. Whole-exome sequencing revealed that 55 children（30.73%）carried pathogenic mutations in stone-related genes. Binary logistic regression was used for univariate analysis of above risk factors. Variables with P < 0.1 in univariate analysis and without multicollinearity were included in multivariate logistic regression to further screen for independent risk factors. Results:Multivariate analysis confirmed that carrying stone-related pathogenic gene mutations（ OR = 3.06，95% CI 1.25?7.45， P = 0.014）and insufficient water intake（ OR = 3.28，95% CI 1.14?9.47， P = 0.028）were independent risk factors for higher stone burden. A high-protein diet（ OR = 2.40，95% CI 1.03?5.63， P = 0.044），carrying stone-related pathogenic gene mutations（ OR = 4.57，95% CI 2.21?9.46， P<0.01），and a family history of stones（ OR = 3.18，95% CI 1.28 ~ 7.91， P = 0.013）were independent risk factors for staghorn calculi. Multiple stones were closely associated with a family history of stones（ OR = 2.66，95% CI 1.15-6.17， P = 0.022）and carrying stone-related pathogenic gene mutations（ OR = 3.22，95% CI 1.60-6.48， P = 0.001）. Moreover，carrying stone-related pathogenic gene mutations（ OR = 5.19，95% CI 2.52?13.82， P < 0.01）were an independent risk factor for stone recurrence，whereas dietary supplement intake was a protective factor（ OR = 0.26，95% CI 0.11?0.62， P = 0.002）. Conclusions:Genetic and environmental factors play significant roles in the occurrence and development of pediatric upper urinary tract stones. A high-protein diet as well as a positive family history of stones are independent risk factors for staghorn calculi，and insufficient water intake is a critical environmental factor for stone formation，while appropriate use of dietary supplements may help reduce the risk of stone recurrence. Genetic testing indicates that approximately 30% of children carry stone-related pathogenic gene mutations，and these patients prone to severe stone and an increased risk of recurrence.

Objective:To develop a nomogram model that combined radiomics and the Breast Imaging Reporting and Data System(BI-RADS),which was used to predict breast cancer in category 4 or 5 lesions of BI-RADS ultrasound(US).Methods:A total of 315 female patients with breast tumors who admitted to The First People's Hospital of Chuzhou and Xinjiang Uygur Autonomous Region Hospital of Traditional Chinese Medicine from November 2021 to September 2024 were selected.In them,211 patients from January 2022 to August 2023 were included in the training group from Xinjiang Uygur Autonomous Region Hospital of Traditional Chinese Medicine,and 104 patients from November 2021 to September 2024 were included in the validation group from The First People's Hospital of Chuzhou.The nomogram model was developed according to the results of multiple regression analysis of the training group.Then,the discrimination,calibration and clinical practicality of nomogram were assessed in predicting breast cancer in the validation group.Results:Radiomics score and BI-RADS category were independent influencing factors in predicting malignant tumors of breast(OR=4.66,4.87,P<0.05).In the ROC curve analysis,the area under curve(AUC)values of the ROC curves of the nomogram models of training group and the validation group were respectively 0.928 and 0.883 in the ability of distinguishing malignant and benign lesions,which all were better than AUC value(0.791,0.864)of the radiomics score,and that(0.825,0.857)of the BI-RADS category,and the differences were statistically significant(Ztraining group=4.026,3.716,and Zverification group=3142,2.847,P<0.05).Conclusion:The nomogram model based on radiomic score and BI-RADS category has potential application value in the prediction for malignant tumor of breast that is BI-RADS US category 4 or 5.

Objective To investigate the relationship between high DNA stainability(HDS)and routine semen parameters.Methods Semen samples were collected from 396 men of childbearing age who were admitted to our department.Correlations of HDS with routine semen parameters and age were analyzed.Multiple linear regression analysis was performed to identify the routine semen parameters that had the greatest influence on HDS.The correlation of HDS and DNA fragmentation index(DFI)with routine semen parameters and age in 244 patients with teratozoospermia was analyzed.The 244 patients were divided into extremely severe,severe,moderate,and mild teratozoospermia groups,and differences in HDS,DFI,and routine semen parameters were compared among the four groups.Results HDS was negatively correlated with total sperm count,sperm concentration,sperm progressive motility,and normal sperm morphology rate(NSMR)(P<0.01).After adjusting for potential confounders,including total sperm count,sperm concentration,sperm progressive motility,NSMR,and DFI,NSMR had the most significant negative effect on HDS(P<0.05).In the 244 patients with teratozoospermia,HDS was negatively correlated with NSMR(P<0.01)and positively correlated with the percentage of sperm head and tail abnormalities(P<0.05),while DFI was positively correlated with the percentage of sperm tail abnormalities(P<0.01).There was a significant difference in the percentage of sperm head abnormalities among the four teratozoospermia groups.The more severe the malfor-mation,the higher the percentage of sperm head abnormalities was(P<0.001).HDS in the extremely severe teratozoospermia group was significantly higher than that in the mild and moderate teratozoospermia groups(P<0.05).No significant differences in DFI were found among the four groups(P>0.05).Conclusion HDS was closely correlated with routine semen parameters and was a crucial biomarker for assessing sperm quality,particularly the extent of sperm head abnormalities.

Objective:To develop a nomogram model that combined radiomics and the Breast Imaging Reporting and Data System(BI-RADS),which was used to predict breast cancer in category 4 or 5 lesions of BI-RADS ultrasound(US).Methods:A total of 315 female patients with breast tumors who admitted to The First People's Hospital of Chuzhou and Xinjiang Uygur Autonomous Region Hospital of Traditional Chinese Medicine from November 2021 to September 2024 were selected.In them,211 patients from January 2022 to August 2023 were included in the training group from Xinjiang Uygur Autonomous Region Hospital of Traditional Chinese Medicine,and 104 patients from November 2021 to September 2024 were included in the validation group from The First People's Hospital of Chuzhou.The nomogram model was developed according to the results of multiple regression analysis of the training group.Then,the discrimination,calibration and clinical practicality of nomogram were assessed in predicting breast cancer in the validation group.Results:Radiomics score and BI-RADS category were independent influencing factors in predicting malignant tumors of breast(OR=4.66,4.87,P<0.05).In the ROC curve analysis,the area under curve(AUC)values of the ROC curves of the nomogram models of training group and the validation group were respectively 0.928 and 0.883 in the ability of distinguishing malignant and benign lesions,which all were better than AUC value(0.791,0.864)of the radiomics score,and that(0.825,0.857)of the BI-RADS category,and the differences were statistically significant(Ztraining group=4.026,3.716,and Zverification group=3142,2.847,P<0.05).Conclusion:The nomogram model based on radiomic score and BI-RADS category has potential application value in the prediction for malignant tumor of breast that is BI-RADS US category 4 or 5.

Objective:To investigate the influence of genetic and environmental factors on the clinical characteristics of upper urinary tract calculi in pediatric patients.Methods:This study was a retrospective case series. The clinical data of 179 children under the age of 14 with upper urinary tract calculi treated at Beijing Friendship Hospital，Capital Medical University，from August 2014 to February 2023 were analyzed. There were 121 males（67.60%）and 58 females（32.40%），with a median age at onset of 2.10（1.14，5.17）years. Thirty-three cases（18.44%）had a family history of urinary stone disease. Stone characteristics was defined by CT，with a median stone burden（sum of the diameters of all stones）of 1.3（1.00，1.60）cm. Fifty-four（30.17%）children had staghorn calculi. Multiple stones were present in 92 cases（51.40%），and bilateral stones in 52 cases（29.05%），with hydronephrosis was present in 119 children（66.48%）. The median follow-up time was 67 months，and 36 children（20.11%）experienced stone recurrence. Dietary habits and related information were collected by electronic questionnaire，including a total of 115 children（64.25%）with an unbalanced diet，101（56.42%）with insufficient water intake，and 32 children（17.88%）with a preference for a high-protein diet. Tap water was used as the source of drinking water by 128 patients（71.51%），and 107（59.78%）took dietary supplements. Whole-exome sequencing revealed that 55 children（30.73%）carried pathogenic mutations in stone-related genes. Binary logistic regression was used for univariate analysis of above risk factors. Variables with P < 0.1 in univariate analysis and without multicollinearity were included in multivariate logistic regression to further screen for independent risk factors. Results:Multivariate analysis confirmed that carrying stone-related pathogenic gene mutations（ OR = 3.06，95% CI 1.25?7.45， P = 0.014）and insufficient water intake（ OR = 3.28，95% CI 1.14?9.47， P = 0.028）were independent risk factors for higher stone burden. A high-protein diet（ OR = 2.40，95% CI 1.03?5.63， P = 0.044），carrying stone-related pathogenic gene mutations（ OR = 4.57，95% CI 2.21?9.46， P<0.01），and a family history of stones（ OR = 3.18，95% CI 1.28 ~ 7.91， P = 0.013）were independent risk factors for staghorn calculi. Multiple stones were closely associated with a family history of stones（ OR = 2.66，95% CI 1.15-6.17， P = 0.022）and carrying stone-related pathogenic gene mutations（ OR = 3.22，95% CI 1.60-6.48， P = 0.001）. Moreover，carrying stone-related pathogenic gene mutations（ OR = 5.19，95% CI 2.52?13.82， P < 0.01）were an independent risk factor for stone recurrence，whereas dietary supplement intake was a protective factor（ OR = 0.26，95% CI 0.11?0.62， P = 0.002）. Conclusions:Genetic and environmental factors play significant roles in the occurrence and development of pediatric upper urinary tract stones. A high-protein diet as well as a positive family history of stones are independent risk factors for staghorn calculi，and insufficient water intake is a critical environmental factor for stone formation，while appropriate use of dietary supplements may help reduce the risk of stone recurrence. Genetic testing indicates that approximately 30% of children carry stone-related pathogenic gene mutations，and these patients prone to severe stone and an increased risk of recurrence.

OBJECTIVE To establish UHPLC-ELSD fingerprint and multi-component content determination methods, compare the differences in sheep bile from different regions, and conduct antioxidant activity research to provide a basis for the in-depth development and utilization of sheep bile. METHODS Used UHPLC-ELSD method to establish 21 batches of bile fingerprints of sheep from different origins and conduct similarity analysis. Measured the content of 6 components, DPPH and ABTS free radical scavenging ability, iron ion reduction ability, and conducted entropy weighted TOPSIS and grey correlation analysis. RESULTS A total of 11 common peaks were identified in the fingerprint spectra of 21 batches of sheep bile. Through comparison with the control sample, 6 components were identified, including taurocholic acid(TCA), glycocholic acid(GCA), taurochenodeoxycholic acid(TCDCA), tauroursodeoxycholic acid(TDCA), glycodeoxycholic acid(GDCA), and cholic acid(CA). Except for 4 batches of samples, the similarity of the fingerprint spectra was greater than 0.90. The total content range of 6 components in the freeze-dried powder of 21 batches of sheep bile was 55.34% to 86.08%. The highest content of taurocholic acid ranged from 34.74% to 60.86%, indicating significant differences in the content of the six components in samples from different regions. Sheep bile from different regions had antioxidant activity, and there were also certain differences. The results of entropy weighted TOPSIS analysis using six component contents as variables showed that the top ten scoring groups were S2, S18, S16, S9, S8, S21, S1, S10, S20, and S15, indicating good quality and slightly better bile quality from sheep in the northern region. The grey correlation analysis results between the content of 6 components and 3 antioxidant indicators showed that all 6 components were correlated with each antioxidant indicator, and TCA, TDCA, and TCDCA had the highest correlation, which might be important components for sheep bile to exert antioxidant effects. CONCLUSION The use of entropy weighted TOPSIS and grey correlation analysis methods can effectively analyze the quality differences and antioxidant active components of sheep bile from different regions, providing scientific basis for its quality evaluation.

To have better clinical understanding of Schimke immuno-osseous dysplasia(SIOD) through analyzing the clinical features, treatment, and prognosis of four patients with SIOD.