Prescription optimization is a crucial aspect in the study of traditional Chinese medicine （TCM） compounds. In recent years， the introduction of mathematical methods， data mining techniques， and artificial neural networks has provided new tools for elucidating the compatibility rules of TCM compounds. The study of TCM compounds involves numerous variables， including the proportions of different herbs， the specific extraction parts of each ingredient， and the interactions among multiple components. These factors together create a complex nonlinear dose-effect relationship. In this context， it is essential to identify methods that suit the characteristics of TCM compounds and can leverage their advantages for effective application in new drug development. This paper provided a comprehensive review of the cutting-edge optimization experimental design methods applied in recent studies of TCM compound compatibilities. The key technical issues， such as the optimization of source material selection， dosage optimization of compatible herbs， and multi-objective optimization indicators， were discussed. Furthermore， the evaluation methods for component effects were summarized during the optimization process， so as to provide scientific and practical foundations for innovative research in TCM and the development of new drugs based on TCM compounds.

Objective To compare the long-term survival of elderly patients with esophageal squamous cell carcinoma (ESCC) treated with surgical versus non-surgical treatment. Methods A retrospective analysis was conducted on the clinical data of elderly patients aged ≥70 years with ESCC who underwent esophagectomy or radiotherapy/chemotherapy at Sichuan Cancer Hospital from January 2009 to September 2017. Patients were divided into a surgical group (S group) and a non-surgical group (NS group) according to the treatment method. The propensity score matching method was used to match the two groups of patients at a ratio of 1∶1, and the survival of the two groups before and after matching was analyzed. Results A total of 726 elderly patients with ESCC were included, including 552 males and 174 females, with 651 patients aged ≥70-80 years and 75 patients aged ≥80-90 years. There were 515 patients in the S group and 211 patients in the NS group. The median follow-up time was 60.8 months, and the median overall survival of the S group was 41.9 months [95%CI (35.2, 48.5)], while that of the NS group was only 24.0 months [95%CI (19.8, 28.3)]. The 1-, 3-, and 5-year overall survival rates of the S group were 84%, 54%, and 40%, respectively, while those of the NS group were 72%, 40%, and 30%, respectively [HR=0.689, 95%CI (0.559, 0.849), P<0.001]. After matching, 138 patients were included in each group, and there was no statistical difference in the overall survival between the two groups [HR=0.871, 95%CI (0.649, 1.167), P=0.352]. Conclusion Compared with conservative treatment, there is no significant difference in the long-term survival of elderly patients aged ≥70 years who undergo esophagectomy for ESCC. Neoadjuvant therapy combined with surgery is still an important choice to potentially improve the survival of elderly patients with ESCC.

Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

ABATRACT OBJECTIVE To utilize the pharmacophore model-molecular docking combined with the virtual screening strategy of free energy calculation and the chemical bioinformatics method of traditional Chinese medicine in cell biology experiments to investigate the components of Guiqi Baizhu prescription that target phosphatidylinositol 3-kinase(PI3K) and inhibit the proliferation of uveal melanoma(UM) cells. METHODS The pharmacophore model of PI3K inhibitor was constructed, and the compounds of Guiqi Baizhu prescription were virtual screened. The components that fit the pharmacophore model were calculated by molecular docking and binding free energy, and the potential inhibitory components were selected for biological experimental evaluation. The effects of potential inhibitory components on UM cell proliferation were detected by CCK-8 and clonal formation assay. Flow cytometry was used to detect the cell cycle and apoptosis of UM cells. The mitochondrial membrane potential of UM cells was detected using JC-10 staining. The expressions of PI3K and downstream pathway proteins were detected by Western blotting.RESULTS The pharmacophore model included 2 hydrogen bond receptors, 2 aromatic ring centers, and exclusion volumes. The results of the CCK-8 experiment showed that quercetin, tangerine, and nobiletin at concentrations of 10, 20, 40, 80 μmol·L−1, and cyrtin at concentrations of 20, 40, 80 μmol·L−1, were able to inhibit the proliferation of UM cells. The clonal formation experiment showed that quercetin, tangerine, nobiletin, and morusin, at different concentrations, could significantly inhibit the clonal proliferation of UM cells. Flow cytometry showed that UM cells were arrested in the G0/G1 phase by tangeretin and quercetin, while UM cells were arrested in the G2/M phase by nobiletin and morusin. The results of JC-10 staining showed that quercetin, nobiletin, tangeretin, and morusin could reduce the mitochondrial membrane potential of UM cells. Western blotting results showed that 4 compounds could target PI3K, but their downstream pathways were different.CONCLUSION Based on the method of chemical bioinformatics in traditional Chinese medicine, this study explores the material basis for the inhibition of UM cell proliferation by the Guiqi Baizhu prescription. It also provides insights for the modern development of traditional Chinese medicine prescription.

Objective To analyze the relationship between bone mineral density (BMD) of infants over 6 months of age and exclusive breastfeeding and calcium nutrition guidance during pregnancy in Baoding area, and to provide evidence for clinical application. Methods A total of 308 infants over 6 months of age were selected from Baoding Maternal and Child Health Hospital from January 2020 to January 2023, and their BMD was measured by ultrasound. The level of 25 (OH) D3 in subjects' blood was detected. spearman correlation test was used to analyze the correlation between infant bone mineral density and exclusive breastfeeding and calcium nutritional guidance during pregnancy, and logistics regression model was used to analyze the independent factors affecting infant bone mineral density. Results The level of serum 25 (OH) D3 in normal BMD group was significantly higher than that in abnormal BMD group (P<0.05). The rate of exclusive breastfeeding and the guidance rate of calcium nutrition during pregnancy in normal BMD group were significantly higher than those in abnormal BMD group (P<0.05). There was a significant positive correlation between different bone mineral density and exclusive breastfeeding and calcium nutrition guidance during pregnancy (P<0.05). Serum 25 (OH) D3 level, exclusive breastfeeding rate and calcium nutritional guideline rate during pregnancy were independent protective factors for bone mineral density (P<0.05). Conclusion Bone mineral density (BMD) of infants over 6 months of age is positively correlated with exclusive breastfeeding and calcium nutrition guidance during pregnancy, and exclusive breastfeeding and calcium nutrition guidance during pregnancy are independent protective factors affecting BMD of infants over 6 months of age.

OBJECTIVE To explore the effectiveness, potential mechanism and compatibility characteristics of efficacy groups of Dunhuang medical prescription Daxiefei decoction in preventing and treating pneumonia based on chemical bioinformatics method. METHODS To study the effect of Daxiefei decoction freeze-dried powder solution on the proliferation activity of lung epithelial cells through cell experiments. Daxiefei decoction was divided into three groups: clearing away heat group, resolving phlegm group, and nourishing Yin group according to its efficacy characteristics. The chemical components of Daxiefei decoction were obtained by TCMSP database and literature search, and the targets were predicted in Swiss Target Prediction database. Pneumonia disease targets were obtained by DrugBank, TTD, Genecards and DisGeNET databases. STRING database and Cytoscape were used to construct the intersection target interaction network and "drug-component-target- pathway" network and DAVID database was used for KEGG pathway enrichment analysis. The network was used to analyze the scientific connotation of the compatibility of efficacy groups. Furthermore, molecular docking was used to evaluate the target-compound affinity and molecular dynamics was used to explore the dynamic molecular mechanism. RESULTS Cell experiments showed that Daxiefei decoction can maintain the proliferation of lung epithelial cells, reverse the decrease of mitochondrial activity induced by LPS and reduce apoptosis. Complex network analysis showed that the pathways enriched by the three functional groups contained in Daxiefei decoction were mainly distributed in two modules: inflammation regulation and reducing airway mucus hypersecretion. Each module was connected by a common target gene and had its own focus. The results of molecular docking showed that the components quercetin, baicalein, isorhamnetin etc. might be the effective multi-target components of Daxiefei decoction. SRC, EGFR, PPARA etc. had good affinity with each potential active component, which might be a potential target of Daxiefei decoction for preventing and treating pneumonia. Molecular dynamics simulation showed that the potential active component quercetin formed stable intermolecular interactions with SRC. CONCLUSION This study initially reveal the material basis and molecular mechanism of Daxiefei decoction in the prevention and treatment of pneumonia. It also explores the scientific connotation of Daxiefei decoction in the prevention and treatment of pneumonia with different efficacy groups, and its modern development and clinical application provide chemical bioinformatics basis.

Objective: To understand the impact of social media usage on the human papilloma virus(HPV) vaccination willingness among college students in Xinjiang, so as to provide a theoretical basis for early prevention of HPVrelated diseases and preventive education. Methods: From March to April 2022, a total of 834 college students were selected from three universities including Xinjiang Agricultural University, Xinjiang Normal University and Xinjiang Medical University by stratified cluster random sampling method for online and offline surveys. The demographic characteristics, social media usage, risk perception, HPV vaccination willingness were obtained through questionnaires, and the Logistic regression analysis method was used to explore the role of HPV vaccine risk perception between social media use and HPV vaccination willingness of college students. Results: Associations were found between social media use (contact intensity, satisfaction, trust), risk perception (risk perception disorder, risk perception benefit) and HPV vaccination willingness among college students (r=0.37, 0.34, 0.35; 0.25, 0.31, P<0.05). Risk perception benefit had an intermediary effect between social media contact intensity, social media satisfaction, social media trust and HPV vaccination willingness, and the intermediary effects were 0.03 (95%CI=0. 01-0.06), 0.04(95%CI=0.02-0.07), 0.04(95%CI=0.01-0.06),and the proportions of intermediary effect were 18.00%, 26.35%, 23.00%, respectively.Risk perception disorder had an intermediary effect between social media satisfaction and HPV vaccination willingness [0.02 (95%CI=0.00-0.04)], and the intermediary effect accounts for 11.36%. Conclusions Risk perception benefit is the most important related factors of HPV vaccine willingness, which plays an intermediary effect between social media usage and the willingness to HPV vaccination. HPV publicity and education should be strengthened on social media platforms to promote HPVrelated knowledge and awareness of active prevention of HPV infection among college students.

Objective:To investigate the incidence of venous thromboembolism (VTE) in patients with esophageal cancer (EC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 8 458 EC patients who were admitted to Sichuan Cancer Hospital from January 2017 to December 2021 were collected. There were 6 923 males and 1 535 females, aged (64±9)years. There were 3 187 patients undergoing surgical treatment, and 5 271 cases undergoing non-surgical treatment. Observation indicators: (1) incidence of VTE in EC patients; (2) treatment and outcomes of patients with VTE. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was analyzed using the nonparameter rank sum test. Count data were expressed as absolute numbers or percentages, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. Comparison of ordinal data was analyzed using the nonparameter rank sum test. Results:(1) Incidence of VTE in EC patients. Of 8 458 EC patients, 175 cases developed VTE, with an incidence rate of 2.069%(175/8 458). Among 175 VTE patients, there were 164 cases of deep venous thrombosis (DVT), 4 cases of pulmonary embolism (PE), 7 cases of DVT and PE. There were 59 surgical patients and 116 non-surgical patients. There was no significant difference in thrombus type between surgical and non-surgical EC patients with VTE ( χ2=1.95, P>0.05). Of 3 187 surgical patients, the incidence of VTE was 1.851%(59/3 187), including an incidence of 0.157%(5/3 187) of PE. PE accounted for 8.475%(5/59) of surgical patients with VTE. Of 5 271 non-surgical patients, the incidence of VTE was 2.201%(116/5 271), including an incidence of 0.114%(6/5 271) of PE. PE accounted for 5.172%(6/116) of non-surgical patients with VTE. There was no significant difference in the incidence of VTE or PE between surgical patients and non-surgical patients ( χ2=1.20, 0.05, P>0.05). (2) Treatment and outcomes of patients with VTE. Among 175 EC patients with VTE, 163 cases underwent drug treatment, and 12 cases did not receive treatment. Among 163 cases with drug therapy, 158 cases underwent anticoagulant therapy, 5 cases were treated with thrombolysis. All the 163 patients were improved and discharged from hospital. Conclusions:The incidence of VTE in patients with EC is relatively low, as 2.069%. There is no significant difference in the incidence of VTE or thrombus type between surgical EC patients and non-surgical EC patients.

Objective:To explore the application value of compute tomography(CT)scan with 16cm wide body detector in chest examination of patients who could not cooperate with breath-holding.Methods:A total of 100 patients who could not cooperate with breath-holding during chest examination in the second affiliated hospital of Shenyang Medical College from May to August in 2022 were selected,and they were randomly divided into observation group and control group,with 50 patients in each group.The collimation width of CT scan with 16cm wide body detector was 256 mm×0.625 mm in the observation group,and that with 8 cm wide body detector was 128 mm×0.625 mm in the control group,and other parameters of two groups were same.A series of indicators included age,height,weight and body mass index(BMI)of patients were recorded,and the CT dose index(CTDIvol),dose length product(DLP),effective dose(ED)were measured and calculated.And then,the Contrast to Noise ratio(CNR),signal to noise(SNR)and Standard Deviation(SD)between two groups were compared,and the image quality was evaluated objectively and subjectively.Results:The average age and the average weight of the patients in the observation group were respectively(78.81±6.84)years old and(64.46±9.86)kg,and the mean values of BMI,CTDIvol,DLP,ED and exposure time were respectively(22.89±3.09)kg/m2,(4.61±1.00)mGy,(1 471.02±345.25)mGy·cm,(20.59±4.83)mSv,(1.01±0.61)s.The average age and the average weight of the patients in the control group were respectively(77.70±6.76)years old and(62.84±4.75)kg.The mean values of BMI,CTDIvol,DLP,Ed and exposure time were respectively(22.89±2.29)kg/m2,(14.5±0.00)mGy,(4 561.70±346.32)mGy·cm,(63.86±4.85)mSv and(4.07±0.12)s.The differences of subjective evaluations of main pulmonary artery,right inferior pulmonary vein trunk and aortic arch between the observation group and the control group were not significant(P>0.05).The subjective scores of image qualities both two groups were larger than 4,and the image qualities of two groups could meet the diagnostic requirements.The CTDIvol,DLP,ED and exposure time of observation group were significantly lower than those in control group(t=-69.42,-44.231,-44.234,-107.10,P<0.05),respectively.Conclusion:Compared with the CT scan with conventional 8 cm detector,the CT scan with 16 cm wide body detector can greatly shorten the scanning time and reduce the radiation dose in the chest CT scan of patients with free breathing,and the image quality of that can meet the requirement of clinical diagnosis,which has very high application value in the fast diagnosis of clinical emergency.

Objective:To assess the predictive value of aspartate aminotransferase-to-alanine amino-transferase ratio (DRR) on overall survival of patients with pancreatic ductal adenocarcinoma (PDAC) who underwent radical pancreaticoduodenectomy.Methods:A retrospective analysis was performed on the clinical data of 137 patients who underwent radical pancreaticoduodenectomy and were diagnosed with PDAC postoperatively at the Chinese PLA General Hospital from January 2015 to December 2020. There were 97 male and 40 female patients, with an average age of (58±10) years old. The patients were grouped according to the optimal survival risk cutoff value of DRR, and the differences in key clinical and pathological indicators between the groups were compared. Kaplan-Meier method was used for survival analysis, and log-rank test was used for comparison of survival rates. Multivariate Cox analysis was performed to evaluate the prognostic factors affecting survival.Results:The 137 PDAC patients were divided into two groups based on the optimal cutoff value of DRR, namely 1.1: DRR≥1.1 was defined as the high-DRR group ( n=29), and DRR<1.1 was defined as the low-DRR group ( n=108). The cumulative survival rate of the low-DRR group was better than that of the high-DRR group, and the difference was statistically significant ( P=0.003). The results of the multivariate Cox regression analysis showed that DRR≥1.1 ( HR=2.485, 95% CI: 1.449-4.261, P=0.001), preoperative biliary drainage ( HR=1.845, 95% CI: 1.030-3.306, P=0.039), lymph node metastasis N2 stage ( HR=2.240, 95% CI: 1.123-4.470, P=0.022), high tumor differentiation ( HR=2.001, 95% CI: 1.279-3.129, P=0.002), and intravascular cancer emboli ( HR=2.240, 95% CI: 1.123-4.470, P=0.022) were risk factors for poor overall survival in PDAC patients who underwent radical pancreaticoduodenectomy. Conclusion:DRR has predictive value for overall survival after surgery in PDAC patients undergoing radical pancreatoduodenectomy. A DRR of 1.1 or greater is a risk factor for poor overall survival after surgery in PDAC patients.