ObjectiveTo investigate the effects of Sanjie Quban prescription （SJQB）-containing serum on the proliferation， apoptosis， migration， and invasion of human keloid fibroblasts （KFs） and to elucidate its underlying mechanism， with a focus on the aryl hydrocarbon receptor （AhR）/cytochrome P450 family 1 subfamily A member 1 （CYP1A1） signaling pathway. MethodsPrimary human KFs were cultured in vitro and assigned to the following groups： control （KFs+blank serum）， asiaticoside （KFs+asiaticoside-containing serum）， SJQB （KFs+SJQB-containing serum）， AhR agonist （KFs+β-naphthoflavone）， AhR inhibitor （KFs+CH223191）， and AhR inhibitor+SJQB （KFs+CH223191+SJQB-containing serum）. The optimal intervention concentrations were determined through the cell counting kit-8 （CCK-8） assay. Cell proliferation， apoptosis， migration， and invasion were evaluated by the EdU assay， flow cytometry， wound healing assay， and Transwell assay， respectively. The expression of transforming growth factor-β₁ （TGF-β₁） and α-smooth muscle actin （α-SMA） was visualized by immunofluorescence. The mRNA and protein levels of AhR， CYP1A1， TGF-β₁， and α-SMA were measured by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot， respectively. ResultsCompared with the control group， the SJQB， asiaticoside， and AhR agonist groups demonstrated inhibited cell proliferation， migration， and invasion， along with an increased apoptosis rate （P<0.01）. The AhR inhibitor group showed enhanced proliferation， migration， and invasion together with a reduced apoptosis rate in comparison with the AhR agonist group （P<0.01）. The AhR inhibitor+SJQB group exhibited increased proliferation， migration， and invasion as well as decreased apoptosis compared with the SJQB group （P<0.05， P<0.01）. At the molecular level， compared with the control group， the SJQB， asiaticoside， and AhR agonist groups presented upregulated protein and mRNA levels of AhR and CYP1A1 （P<0.05， P<0.01）， while the SJQB and AhR agonist groups showed downregulated TGF-β₁ and α-SMA expression at both protein and mRNA levels （P<0.05， P<0.01）， and the asiaticoside group displayed decreased protein level of TGF-β₁ and mRNA level of α-SMA （P<0.05， P<0.01）. Compared with both the AhR agonist and control groups， the AhR inhibitor group exhibited decreased AhR and CYP1A1 expression but increased TGF-β₁ and α-SMA expression at protein and mRNA levels （P<0.01）. In comparison with the SJQB group， the AhR inhibitor+SJQB group demonstrated reduced AhR and CYP1A1 expression （P<0.01） and elevated TGF-β₁ and α-SMA expression （P<0.05， P<0.01） at both protein and mRNA levels. ConclusionSJQB may activate the AhR/CYP1A1 signaling pathway to downregulate TGF-β₁ and α-SMA expression， thereby suppressing the proliferation， migration， and invasion and inducing the apoptosis of KFs.

Objective:To analyze the association of sedentary time and physical activity with the risk of developing chronic obstructive pulmonary disease (COPD) in non-smoking women aged 40 years and above in Songjiang District, Shanghai.Methods:Based on a natural population-based cohort in Songjiang, a total of 18 707 non-smoking women who were aged 40 years and above and without COPD at baseline survey were enrolled in the study. Cox proportional risk regression model was used to analyze the associations of the duration of sedentary behavior, physical activity with the risk for COPD at baseline survey, and the hazard ratio ( HR) of risk for COPD and its 95% CI were calculated. Stratified analyses were performed based on age, BMI, history of respiratory diseases and so on. Sensitivity analyses were conducted by excluding the cases diagnosed with COPD within one year after the baseline survey. Results:As of March 31, 2024, a total of 691 new COPD cases had been recorded after a median follow-up time of 6.96 years with an incidence density of 53.22 per 10 000 person-years. After adjusting for relevant confounders, in the tertile subgroups of sedentary time, the risk for COPD reduced by 17% in the short sedentary time group compared with the long sedentary time group ( HR=0.83,95% CI:0.70-0.99). Compared with the low physical activity level and long sedentary time group, the risk for COPD reduced by 24% in the high physical activity level and short sedentary time group ( HR=0.76, 95% CI: 0.61-0.95) and by 23% in the low physical activity level and short sedentary time group ( HR=0.77, 95% CI: 0.60-0.97). Compared with the non-physical exercise and long sedentary time group, the risk for COPD reduced by 28% in the non-physical exercise and short sedentary time group ( HR=0.72, 95% CI: 0.60-0.87). These associations remained when the cases diagnosed with COPD within one year of the baseline survey were excluded. Conclusions:Increasing physical activity and reducing sedentary time have beneficial effects to prevent COPD in non-smoking women, and reducing sedentary time alone may also reduce the risk for COPD if increasing physical exercise or other physical activity is not possible.

[Objective]To explore the origin and evolution of the unnamed prescriptions in Handbook of Prescriptions for Emergency in order to clarify the development context of the unnamed prescriptions in this book and provide some ideas for exploring the origins of other unnamed prescriptions in medical formulary.[Methods]By using methods of cataloging,bibliology and historical research,this article briefly describes the version of the Handbook of Prescriptions for Emergency and its unnamed prescriptions.Besides,it compares and analyzes the unnamed prescriptions in the Handbook of Prescriptions for Emergency with those in related medical books to investigate the origin and evolution of the unnamed prescriptions in this book.[Results]Apart from the accompanying prescriptions,Handbook of Prescriptions for Emergency contains a total of 1 130 unnamed prescriptions.There are 14 unnamed prescriptions in Handbook of Prescriptions for Emergency that can be traced back to the medical prescriptions on the wooden slips unearthed in Liye and Zhoujiatai,and the Formulas for Fifty-two Diseases written on silk from the Mawangdui Han Tomb,were particularly closely related to the latter formulas.Besides,there are 22 unnamed prescriptions in Handbook of Prescriptions for Emergency derived from Treatise on Febrile Diseases and Synopsis of the Golden Chamber.Although there are 26 unnamed prescriptions for treating sudden death and poisoning caused by drugs and food,which are similar to the content of"miscellaneous treatment prescriptions""taboos for poultry,animals,fish,insects"and"taboos for fruits,vegetables and grains"in the current edition of Synopsis of the Golden Chamber,they are suspected to be written by GE Hong and were confused by Song officials and added to Synopsis of the Golden Chamber.In addition,there are 255 unnamed prescriptions in Handbook of Prescriptions for Emergency that gradually evolved into named prescriptions in later generations,were mainly recorded in five books including Important Formulas Worth a Thousand Gold Pieces for Emergency,Arcane Essentials from the Imperial Library,Taiping Royal Prescriptions,Comprehensive Recording of Divine Assistance and Formulas for Universal Relief.Finally,it is speculated that Huanglian Jiedu Decoction in Cuishi Fang and Xiaodingzhi Pill in Sanyin Jiyi Bingzheng Fanglun are all originated from unnamed prescriptions in Handbook of Prescriptions for Emergency.[Conclusion]The emergence of prescriptions is not static,which has gone through a process from simple to complex,from unnamed prescriptions to named prescriptions.Taking the famous prescription book Handbook of Prescriptions for Emergency from the Jin Dynasty as an example,the unnamed prescriptions recorded in the book can be dated back to the medical records inscribed wooden slips of the Qin and Han Dynasties,and have inspired later famous prescriptions,revealing to some extent the laws of the origin and evolution of prescriptions.

Objective:To analyze the association of sedentary time and physical activity with the risk of developing chronic obstructive pulmonary disease (COPD) in non-smoking women aged 40 years and above in Songjiang District, Shanghai.Methods:Based on a natural population-based cohort in Songjiang, a total of 18 707 non-smoking women who were aged 40 years and above and without COPD at baseline survey were enrolled in the study. Cox proportional risk regression model was used to analyze the associations of the duration of sedentary behavior, physical activity with the risk for COPD at baseline survey, and the hazard ratio ( HR) of risk for COPD and its 95% CI were calculated. Stratified analyses were performed based on age, BMI, history of respiratory diseases and so on. Sensitivity analyses were conducted by excluding the cases diagnosed with COPD within one year after the baseline survey. Results:As of March 31, 2024, a total of 691 new COPD cases had been recorded after a median follow-up time of 6.96 years with an incidence density of 53.22 per 10 000 person-years. After adjusting for relevant confounders, in the tertile subgroups of sedentary time, the risk for COPD reduced by 17% in the short sedentary time group compared with the long sedentary time group ( HR=0.83,95% CI:0.70-0.99). Compared with the low physical activity level and long sedentary time group, the risk for COPD reduced by 24% in the high physical activity level and short sedentary time group ( HR=0.76, 95% CI: 0.61-0.95) and by 23% in the low physical activity level and short sedentary time group ( HR=0.77, 95% CI: 0.60-0.97). Compared with the non-physical exercise and long sedentary time group, the risk for COPD reduced by 28% in the non-physical exercise and short sedentary time group ( HR=0.72, 95% CI: 0.60-0.87). These associations remained when the cases diagnosed with COPD within one year of the baseline survey were excluded. Conclusions:Increasing physical activity and reducing sedentary time have beneficial effects to prevent COPD in non-smoking women, and reducing sedentary time alone may also reduce the risk for COPD if increasing physical exercise or other physical activity is not possible.

Under the current situation of "low prevalence and low infection" of schistosomiasis in China, and to provide a basis for achieving the goal of eliminating schistosomiasis by 2030 proposed by the Healthy China Action (2019 - 2030) as scheduled, the Hunan Provincial Corps Hospital of the Chinese People's Armed Police Force established a schistosomiasis monitoring and early warning index system based on the previous studies on schistosomiasis early warning index system and the recent literature analysis, combined with the current potential risk factors affecting the transmission and prevalence of schistosomiasis, and organized two rounds of expert consultation and carried out project promotion meetings. The experts reached a consensus on the comprehensiveness and practicability of the index system, aiming to lay a solid foundation for construction of China's schistosomiasis prevention and control early warning system.

Objective:To explore the application value of machine learning prediction model for neural invasion in gallbladder cancer based on enhanced computed tomography (CT) and clinical characteristics.Methods:The retrospective cohort study was conducted. The clinical and imaging data of 502 patients with gallbladder cancer who were admitted to The First Affiliated Hospital of Xinxiang Medical University from January 2010 to June 2024 were collected. There were 171 males and 331 females, aged 65(range, 35?91)years. All patients underwent preoperative abdominal enhanced CT and radical resection. The 502 patients were randomly divided into a training set of 351 cases and a test set of 151 cases at a 7:3 ratio. The training set was used to construct prediction model, and the test set was used to validate prediction model. Observation indicators: (1)neural invasion in gallbladder cancer and influencing factor analysis; (2) construction and validation of machine learning prediction models for neural invasion in gallbladder cancer. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the Mann-Whitney U test. Logistic regression model was performed for univariate and multivariate analyses. Independent influencing factors were incor-porated to construct machine learning models using the standard library modules based on Python 3.9. Receiver operating characteristic (ROC) curves were plotted, and the accuracy, sensitivity, specificity, area under the curve (AUC), precision, F1 score, positive predictive value, negative predic-tive value, and Kappa value were calculated to evaluate the predictive performance of the models. The Delong test was used to assess the differences in AUC among different models in the test set. The Hosmer-Lemeshow test and Brier score were used to evaluate the calibration of the models. Results:(1) Neural invasion in gallbladder cancer and influencing factor analysis. Of the 502 patients with gallbladder cancer, 131 cases had neural invasion, and 371 cases had no neural invasion. Results of multivariate analysis showed that total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-lymphocyte ratio, liver invasion detected by CT, vascular invasion detected by CT, hilar or retroperi-toneal lymph node metastasis detected by CT, and tumor stages T3 and T4 were independent influencing factors for neural invasion in patients with gallbladder cancer [ odds ratios=3.747, 2.395, 3.917, 3.596, 2.805, 2.377, 3.523, 2.774, 5.080, 6.809, 95% confidence interval ( CI) as 1.890?7.430, 1.154?4.971, 2.054?7.472, 1.807?7.155, 1.506?5.225, 1.241?4.553, 1.666?7.449, 1.483?5.189, 2.050?12.589, 2.552?18.168, P<0.05]. (2) Construction and validation of machine learning predic-tion models for neural invasion in gallbladder cancer. Based on the independent influencing factors, seven machine learning models were constructed, including logistic regression, K-nearest neighbors, support vector machine, random forest, decision tree, back-propagation neural network, and gradient boosting machine. The ROC curves of seven machine learning models in the test set were plotted, and the AUC were 0.900(95% CI as 0.851?0.948), 0.741(95% CI as 0.646?0.829), 0.836(95% CI as 0.762?0.895), 0.782(95% CI as 0.701?0.855), 0.839(95% CI as 0.770?0.901), 0.817(95% CI as 0.738?0.887), 0.843(95% CI as 0.770?0.909), respectively. Results of Delong test showed that the logistic regression model had the highest AUC. The sensitivity and specificity of the logistic regression model were 0.868 and 0.805 respectively, indicating the best balance. Results of Hosmer-Lemeshow test showed that the logistic regression model had a good goodness-of-fit ( χ2=5.320, P>0.05). The Brier score of the logistic regression model was relatively low, as 0.168, which verified its calibration advantage. Conclusion:Total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-to-lymphocyte ratio, liver invasion detected by enhanced CT, vascular invasion detected by enhanced CT, hilar or retroperitoneal lymph node metastasis detected by enhanced CT, and tumor stages T3 and T4 are independent influencing factors for nerve invasion in patients with gallbladder cancer. Seven machine learning models are constructed based on enhanced CT and clinical characteristics to predict neural invasion in gallbladder cancer, of which the logistic regression model demonstrates good predictive performance.

Under the current situation of "low prevalence and low infection" of schistosomiasis in China, and to provide a basis for achieving the goal of eliminating schistosomiasis by 2030 proposed by the Healthy China Action (2019 - 2030) as scheduled, the Hunan Provincial Corps Hospital of the Chinese People's Armed Police Force established a schistosomiasis monitoring and early warning index system based on the previous studies on schistosomiasis early warning index system and the recent literature analysis, combined with the current potential risk factors affecting the transmission and prevalence of schistosomiasis, and organized two rounds of expert consultation and carried out project promotion meetings. The experts reached a consensus on the comprehensiveness and practicability of the index system, aiming to lay a solid foundation for construction of China's schistosomiasis prevention and control early warning system.

Objective:To explore the application value of machine learning prediction model for neural invasion in gallbladder cancer based on enhanced computed tomography (CT) and clinical characteristics.Methods:The retrospective cohort study was conducted. The clinical and imaging data of 502 patients with gallbladder cancer who were admitted to The First Affiliated Hospital of Xinxiang Medical University from January 2010 to June 2024 were collected. There were 171 males and 331 females, aged 65(range, 35?91)years. All patients underwent preoperative abdominal enhanced CT and radical resection. The 502 patients were randomly divided into a training set of 351 cases and a test set of 151 cases at a 7:3 ratio. The training set was used to construct prediction model, and the test set was used to validate prediction model. Observation indicators: (1)neural invasion in gallbladder cancer and influencing factor analysis; (2) construction and validation of machine learning prediction models for neural invasion in gallbladder cancer. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the Mann-Whitney U test. Logistic regression model was performed for univariate and multivariate analyses. Independent influencing factors were incor-porated to construct machine learning models using the standard library modules based on Python 3.9. Receiver operating characteristic (ROC) curves were plotted, and the accuracy, sensitivity, specificity, area under the curve (AUC), precision, F1 score, positive predictive value, negative predic-tive value, and Kappa value were calculated to evaluate the predictive performance of the models. The Delong test was used to assess the differences in AUC among different models in the test set. The Hosmer-Lemeshow test and Brier score were used to evaluate the calibration of the models. Results:(1) Neural invasion in gallbladder cancer and influencing factor analysis. Of the 502 patients with gallbladder cancer, 131 cases had neural invasion, and 371 cases had no neural invasion. Results of multivariate analysis showed that total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-lymphocyte ratio, liver invasion detected by CT, vascular invasion detected by CT, hilar or retroperi-toneal lymph node metastasis detected by CT, and tumor stages T3 and T4 were independent influencing factors for neural invasion in patients with gallbladder cancer [ odds ratios=3.747, 2.395, 3.917, 3.596, 2.805, 2.377, 3.523, 2.774, 5.080, 6.809, 95% confidence interval ( CI) as 1.890?7.430, 1.154?4.971, 2.054?7.472, 1.807?7.155, 1.506?5.225, 1.241?4.553, 1.666?7.449, 1.483?5.189, 2.050?12.589, 2.552?18.168, P<0.05]. (2) Construction and validation of machine learning predic-tion models for neural invasion in gallbladder cancer. Based on the independent influencing factors, seven machine learning models were constructed, including logistic regression, K-nearest neighbors, support vector machine, random forest, decision tree, back-propagation neural network, and gradient boosting machine. The ROC curves of seven machine learning models in the test set were plotted, and the AUC were 0.900(95% CI as 0.851?0.948), 0.741(95% CI as 0.646?0.829), 0.836(95% CI as 0.762?0.895), 0.782(95% CI as 0.701?0.855), 0.839(95% CI as 0.770?0.901), 0.817(95% CI as 0.738?0.887), 0.843(95% CI as 0.770?0.909), respectively. Results of Delong test showed that the logistic regression model had the highest AUC. The sensitivity and specificity of the logistic regression model were 0.868 and 0.805 respectively, indicating the best balance. Results of Hosmer-Lemeshow test showed that the logistic regression model had a good goodness-of-fit ( χ2=5.320, P>0.05). The Brier score of the logistic regression model was relatively low, as 0.168, which verified its calibration advantage. Conclusion:Total bilirubin, carcinoembryonic antigen, CA199, CA125, neutrophil-to-lymphocyte ratio, liver invasion detected by enhanced CT, vascular invasion detected by enhanced CT, hilar or retroperitoneal lymph node metastasis detected by enhanced CT, and tumor stages T3 and T4 are independent influencing factors for nerve invasion in patients with gallbladder cancer. Seven machine learning models are constructed based on enhanced CT and clinical characteristics to predict neural invasion in gallbladder cancer, of which the logistic regression model demonstrates good predictive performance.

[Objective]To explore the origin and evolution of the unnamed prescriptions in Handbook of Prescriptions for Emergency in order to clarify the development context of the unnamed prescriptions in this book and provide some ideas for exploring the origins of other unnamed prescriptions in medical formulary.[Methods]By using methods of cataloging,bibliology and historical research,this article briefly describes the version of the Handbook of Prescriptions for Emergency and its unnamed prescriptions.Besides,it compares and analyzes the unnamed prescriptions in the Handbook of Prescriptions for Emergency with those in related medical books to investigate the origin and evolution of the unnamed prescriptions in this book.[Results]Apart from the accompanying prescriptions,Handbook of Prescriptions for Emergency contains a total of 1 130 unnamed prescriptions.There are 14 unnamed prescriptions in Handbook of Prescriptions for Emergency that can be traced back to the medical prescriptions on the wooden slips unearthed in Liye and Zhoujiatai,and the Formulas for Fifty-two Diseases written on silk from the Mawangdui Han Tomb,were particularly closely related to the latter formulas.Besides,there are 22 unnamed prescriptions in Handbook of Prescriptions for Emergency derived from Treatise on Febrile Diseases and Synopsis of the Golden Chamber.Although there are 26 unnamed prescriptions for treating sudden death and poisoning caused by drugs and food,which are similar to the content of"miscellaneous treatment prescriptions""taboos for poultry,animals,fish,insects"and"taboos for fruits,vegetables and grains"in the current edition of Synopsis of the Golden Chamber,they are suspected to be written by GE Hong and were confused by Song officials and added to Synopsis of the Golden Chamber.In addition,there are 255 unnamed prescriptions in Handbook of Prescriptions for Emergency that gradually evolved into named prescriptions in later generations,were mainly recorded in five books including Important Formulas Worth a Thousand Gold Pieces for Emergency,Arcane Essentials from the Imperial Library,Taiping Royal Prescriptions,Comprehensive Recording of Divine Assistance and Formulas for Universal Relief.Finally,it is speculated that Huanglian Jiedu Decoction in Cuishi Fang and Xiaodingzhi Pill in Sanyin Jiyi Bingzheng Fanglun are all originated from unnamed prescriptions in Handbook of Prescriptions for Emergency.[Conclusion]The emergence of prescriptions is not static,which has gone through a process from simple to complex,from unnamed prescriptions to named prescriptions.Taking the famous prescription book Handbook of Prescriptions for Emergency from the Jin Dynasty as an example,the unnamed prescriptions recorded in the book can be dated back to the medical records inscribed wooden slips of the Qin and Han Dynasties,and have inspired later famous prescriptions,revealing to some extent the laws of the origin and evolution of prescriptions.

ObjectiveTo evaluate the efficacy of three screening questionnaires for COPD in the community residents of Songjiang District， Shanghai， and to provide a basis for selecting COPD screening questionnaire and process that are more suitable. MethodsCommunity residents aged 40 years or over were randomly selected from the Shanghai Suburban Adult Cohort and Biobank for the study with screening questionnaires and spirometry. Questionnaires included the COPD screening questionnaire （COPD-SQ）， the COPD population screener （COPD-PS） and the revised COPD diagnostic questionnaire （revised-CDQ）. Evaluation of the efficacy of these questionnaires was based on the area under the receiver operating characteristic curve （AUC） of the subjects. DeLong test was used to compare the accuracy of different questionnaires； Z test was used to compare the accuracy of different cut-off values for the same questionnaire. ResultsAmong 3 184 community residents， a total of 259 （8.1%） COPD patients were screened by spirometry. AUC values of these 3 screening questionnaires were >0.7 indicating that they were reliable COPD screening tools. The sensitivity and specificity of the questionnaires at the recommended cut-off values were COPD-SQ （63.7% and 72.2%）， COPD-PS （12.0% and 96.1%）， and revised CDQ （78.8% and 52.7%）， with the COPD-SQ having the highest screening accuracy （AUC=0.754）. The optimal and recommended cut-off values for the three questionnaires differed in this population， but the difference in accuracy was statistically significant only for COPD-PS. The optimal cut-off values for the three questionnaires differed between male and female， and the sensitivity and accuracy of COPD-SQ and COPD-PS improved when lower cut-off values were used for women. The AUC was greater when two questionnaires were utilized simultaneously for screening， but the differences were not statistically significant. ConclusionThe COPD-SQ is recommended for primary COPD screening； a lower cut-off value for women should be considered. The COPD screening questionnaire needs to be further improved for the early diagnosis and treatment of COPD patients.