OBJECTIVE To establish a method for the content determination of 11 components such as protodioscin in Guge fengtong tablets， and to evaluate the comprehensive quality of Guge fengtong tablets by combining with chemometric analysis and entropy weight-technique for order preference by similarity to ideal solution （EW-TOPSIS） method. METHODS HPLC method was adopted. The determination was performed on Agilent Eclipse Plus C18 column with a mobile phase consisted of acetonitrile- 0.2% phosphoric acid solution at the flow rate of 1.0 mL/min by gradient elution. The column temperature was set at 30 ℃ . The detection wavelengths were set at 203 nm （0-28 min， protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin） and 280 nm （28-60 min， catechin， epicatechin， liquiritigenin， medicarpin， 6-gingerol， 8-gingerol， 10-gingerol）； the sample size was 10 μL. Using epicatechin as the internal reference， quantitative analysis of multi-components by single marker （QAMS） method was used to determine the contents of protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin， catechin， liquiritigenin， medicarpin， 6-gingerol， 8-gingerol and 10-gingerol， which were compared with the results of the external standard method. SPSS 26.0 software and SIMCA 14.1 software were used for principal component analysis and orthogonal partial least squares-discriminant analysis， with variable importance in projection （VIP） value greater than 1 as the standard， to screen for differential markers that affect the quality； the EW-TOPSIS method was adopted to evaluate the quality of 15 batches of samples comprehensively.RESULTS The contents of protodioscin， methyl protodioscin， pseudoprotodioscin， dioscin， catechin， liquiritigenin， medi-carpin， 6-gingerol， 8-gingerol and 10-gingerol determined by HPLC combined with QAMS were 6.330-10.863， 1.150-2.274， 0.431- 0.740， 2.818-4.823， 0.826-1.510， 0.043-0.094， 0.079-0.231， 0.479-1.020， 0.146-0.288， 0.118-0.318 mg/g， respectively； there were no statistical significances， compared with the external standard method （P＞0.05）. A total of 15 batches of samples were clustered into 3 groups， with S1-S6， S7-S10， and S11-S15 clustered into one group， respectively. The VIP values of protodioscin， epicatechin， dioscin and 6-gingerol were greater than 1. Euclidean closeness values of the optimal solution （C）i for 15 batches of samples were 0.163 5 to 0.703 7， and Ci values of S11-S15 were all higher than 0.6. CONCLUSIONS The established QAMS method is accurate and simple， and can be used for comprehensive quality evaluation of Guge fengtong tablets， by combining with chemometric analysis and EW-TOPSIS method. Protodioscin， epicatechin， dioscin and 6-gingerol are the differential markers that affect the quality of Guge fengtong tablets. Samples S11-S15 have better quality.

Objective:To observe and verify the changes of transcriptome in hyperoxia-induced acute lung injury (HALI), and to further clarify the changes of pathways in HALI.Methods:Twelve healthy male C57BL/6J mice were randomly divided into normoxia group and HALI group according to the random number table, with 6 mice in each group. The mice in the normoxia group were fed normally in the room, and the mice in the HALI group was exposed to 95% oxygen to reproduce the HALI animal model. After 72 hours of hyperoxia exposure, the lung tissues were taken for transcriptome sequencing, and then Kyoto Encyclopedia of Genes and Genomes database (KEGG) pathway enrichment analysis was performed. The pathological changes of lung tissue were observed under light microscope after hematoxylin-eosin (HE) staining. Real-time fluorescence quantitative reverse transcription-polymerase chain reaction (RT-PCR) and Western blotting were used to verify the key molecules in the signal pathways closely related to HALI identified by transcriptomics analysis.Results:Transcriptomic analysis showed that hyperoxia induced 537 differentially expressed genes in lung tissue of mice as compared with the normoxia group including 239 up-regulated genes and 298 down-regulated genes. Further KEGG pathway enrichment analysis identified 20 most significantly enriched pathway entries, and the top three pathways were ferroptosis signaling pathway, p53 signaling pathway and glutathione (GSH) metabolism signaling pathway. The related genes in the ferroptosis signaling pathway included the up-regulated gene heme oxygenase-1 (HO-1) and the down-regulated gene solute carrier family 7 member 11 (SLC7A11). The related genes in the p53 signaling pathway included the up-regulated gene tumor suppressor gene p53 and the down-regulated gene murine double minute 2 (MDM2). The related gene in the GSH metabolic signaling pathway was up-regulated gene glutaredoxin 1 (Grx1). The light microscope showed that the pulmonary alveolar structure of the normoxia group was normal. In the HALI group, the pulmonary alveolar septum widened and thickened, and the alveolar cavity shrank or disappeared. RT-RCR and Western blotting confirmed that compared with the normoxia group, the mRNA and protein expressions of HO-1 and p53 in lung tissue of the HALI group were significantly increased [HO-1 mRNA (2 -ΔΔCt): 2.16±0.17 vs. 1.00±0.00, HO-1 protein (HO-1/β-actin): 1.05±0.01 vs. 0.79±0.01, p53 mRNA (2 -ΔΔCt): 2.52±0.13 vs. 1.00±0.00, p53 protein (p53/β-actin): 1.12±0.02 vs. 0.58±0.03, all P < 0.05], and the mRNA and protein expressions of Grx1, MDM2, SLC7A11 were significantly decreased [Grx1 mRNA (2 -ΔΔCt): 0.53±0.05 vs. 1.00±0.00, Grx1 protein (Grx1/β-actin): 0.54±0.03 vs. 0.93±0.01, MDM2 mRNA (2 -ΔΔCt): 0.48±0.03 vs. 1.00±0.00, MDM2 protein (MDM2/β-actin): 0.57±0.02 vs. 1.05±0.01, SLC7A11 mRNA (2 -ΔΔCt): 0.50±0.06 vs. 1.00±0.00, SLC7A11 protein (SLC7A11/β-actin): 0.72±0.03 vs. 0.98±0.01, all P < 0.05]. Conclusions:HALI is closely related to ferroptosis, p53 and GSH metabolism signaling pathways. Targeting the key targets in ferroptosis, p53 and GSH metabolism signaling pathways may be an important strategy for the prevention and treatment of HALI.

Objective To compare artificial intelligence-assisted diagnostic system and conventional manual CT image interpretation for detection of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules, and to provide a reference for the application of artificial intelligence in clinical screening for lung cancer. Methods Patients who underwent chest CT scans for pulmonary nodules from March 2019 to December 2023 were enrolled. The CT images were subjected to artificial intelligence-based and conventional manual CT image interpretation. The pathological examination results of pulmonary lesions served as a gold standard for comparison of artificial intelligence-based and conventional manual CT image interpretation in detection rate of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules. Results A total of 327 positive pulmonary nodules were identified in 207 patients. The detection rate of positive pulmonary nodules was significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation (95.72% vs. 86.85%; χ²=16.16, P < 0.01). Moreover, artificial intelligence-based CT image interpretation showed significantly higher detection rates for solid (χ²=7.71, P < 0.01) and ground-glass pulmonary nodules (χ²=5.80, P < 0.05) than conventional manual CT image interpretation. The detection rates for pulmonary nodules with < 1 cm (χ²=4.97, P < 0.05), 1 to < 2 cm (χ²=7.04, P < 0.01), and 2 to < 3 cm (χ²=4.91, P < 0.05) diameters were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for differential diagnosis of benign and malignant pulmonary nodules were 98.08%, 91.53%, 95.33%, 96.43%, and 95.71% with artificial intelligence-based CT image interpretation and 91.34%, 77.97%, 87.96%, 32.62%, and 86.50% with conventional CT image interpretation. The sensitivity (χ²=4.70, P < 0.05), specificity (χ²=4.20, P < 0.05), negative predictive value (χ²=65.28, P < 0.01), and accuracy (χ²=8.52, P < 0.01) were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. However, there was no significant difference in the positive predictive value (χ²=3.80, P > 0.05). Conclusion Compared with conventional manual CT image interpretation, artificial intelligence-assisted diagnostic system for CT image interpretation can significantly increase the detection rate of positive pulmonary nodules and improve the efficiency of differential diagnosis of benign and malignant pulmonary nodules, so it deserves widespread applications in physical examination and early screening for lung cancer.

ObjectiveTo explore the distribution characteristics of traditional Chinese medicine （TCM） syndrome elements of macroangiopathy in patients with type 2 diabetes mellitus （T2DM） and the key elements of occurrence， development and progression of disease. MethodsA multicenter cross-sectional study was conducted to enroll 445 T2DM patients from five hospitals， and according to the presence or absence of macroangiopathy， the patients were divided into a T2DM group （120 cases） and a diabetic macroangiopathy （DM） group （325 cases）. Patients in DM group were divided into grade Ⅰ， Ⅱ， Ⅲ and Ⅳ according to the peripheral vascular color Doppler ultrasound results and the vascular anomalies classification standard. The general data including gender， age， duration of T2DM and body mass index （BMI） were collected， and the data of four examinations were obtained for syndrome differentiation. According to the diagnostic criteria of TCM syndrome elements， the patients can be divided into 9 patterns including qi deficiency， blood deficiency， yin deficiency， yang deficiency， qi stagnation， blood stasis， excess heat， and excess cold. The general data and distribution of TCM syndrome elements were compared between the two groups. The distribution of TCM syndrome elements in different vascular anomalies grades in the DM group was analyzed. Logistic regression analysis was used to explore the influence of various TCM syndrome elements on the occurrence of macroangiopathy in T2DM. ResultsThere was no significant difference in gender and BMI between groups （P＞0.05）. The age and duration of diabetes in the DM group were older and longer than those in the T2DM group （P＜0.01）. With the increase of age and prolonged course of disease， the severity of diabetic macroangiopathy increases gradually （P＜0.05 or P＜0.01）. There was no significant difference in BMI and course of disease among the different TCM syndrome elements （P＞0.05）. The average age of patients with blood stasis syndrome was the oldest （P＜0.05）. There was significant difference in gender distribution between the excess heat syndrome and yin deficiency syndrome （P＜0.05）. A total of 240 TCM syndrome elements were extracted from the T2DM group， while 731 TCM syndrome elements extracted from the DM group. The top two high-frequency syndrome elements in the two groups were qi deficiency and yin deficiency， with a frequency of larger than 50%. The distribution of phlegm-damp syndrome and blood-stasis syndrome were significantly higher in the DM group than in the T2DM group （P＜0.01）. There were significant differences in the distribution of qi deficiency syndrome， yin deficiency syndrome， phlegm-damp syndrome， blood stasis syndrome， and excess heat syndrome among different grades of vascular anomalies （P＜0.01）； qi deficiency and yin deficiency were both high-frequency TCM syndrome elements in patients at grades 0 to Ⅲ； phlegm-damp syndrome increased in frequency with the progression of the disease from grades 0 to Ⅳ， and the frequency of blood stasis syndrome showed an overall upward trend. The frequency of phlegm-dampness syndrome increased from grades 0 to Ⅳ with the progression of the disease， and the frequency of blood stasis syndrome showed an overall upward trend. Logistic regression analysis showed that phlegm-damp syndrome and blood stasis syndrome were important TCM syndrome elements related to the vascular anomalies degree of macrovascular disease in T2DM （P＜0.05 or P＜0.01）. ConclusionQi deficiency and yin deficiency are the basic TCM syndrome elements throughout the whole process of T2DM and diabetic macrovascular disease. Phlegm-damp and blood stasis are related to the degree of vascular anomalies in diabetic macrovascular disease and are the key TCM syndrome elements in the progression of macroangiopathy in T2DM.

Objective To compare artificial intelligence-assisted diagnostic system and conventional manual CT image interpretation for detection of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules, and to provide a reference for the application of artificial intelligence in clinical screening for lung cancer. Methods Patients who underwent chest CT scans for pulmonary nodules from March 2019 to December 2023 were enrolled. The CT images were subjected to artificial intelligence-based and conventional manual CT image interpretation. The pathological examination results of pulmonary lesions served as a gold standard for comparison of artificial intelligence-based and conventional manual CT image interpretation in detection rate of positive pulmonary nodules and differential diagnosis of benign and malignant pulmonary nodules. Results A total of 327 positive pulmonary nodules were identified in 207 patients. The detection rate of positive pulmonary nodules was significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation (95.72% vs. 86.85%; χ²=16.16, P < 0.01). Moreover, artificial intelligence-based CT image interpretation showed significantly higher detection rates for solid (χ²=7.71, P < 0.01) and ground-glass pulmonary nodules (χ²=5.80, P < 0.05) than conventional manual CT image interpretation. The detection rates for pulmonary nodules with < 1 cm (χ²=4.97, P < 0.05), 1 to < 2 cm (χ²=7.04, P < 0.01), and 2 to < 3 cm (χ²=4.91, P < 0.05) diameters were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for differential diagnosis of benign and malignant pulmonary nodules were 98.08%, 91.53%, 95.33%, 96.43%, and 95.71% with artificial intelligence-based CT image interpretation and 91.34%, 77.97%, 87.96%, 32.62%, and 86.50% with conventional CT image interpretation. The sensitivity (χ²=4.70, P < 0.05), specificity (χ²=4.20, P < 0.05), negative predictive value (χ²=65.28, P < 0.01), and accuracy (χ²=8.52, P < 0.01) were significantly higher with artificial intelligence-based CT image interpretation than with conventional manual CT image interpretation. However, there was no significant difference in the positive predictive value (χ²=3.80, P > 0.05). Conclusion Compared with conventional manual CT image interpretation, artificial intelligence-assisted diagnostic system for CT image interpretation can significantly increase the detection rate of positive pulmonary nodules and improve the efficiency of differential diagnosis of benign and malignant pulmonary nodules, so it deserves widespread applications in physical examination and early screening for lung cancer.

Objective To investigate the clinical value of extracellular volume(ECV)based on CT delayed phase in combination with pathologic indicators in predicting early recurrence of gastric mesenchymal tumors after surgery.Methods A retrospective case-control trial was conducted on the imaging,clinical and pathological data of 110 patients with gastric mesenchymal tumors who were surgically resected at the First Affiliated Hospital of Army Medical University from January 2011 to August 2022.They were 60 males and 50 females,at a mean age of 58±10 years.All of them received preoperative multiphase dynamic CT enhancement examination of the abdomen,and ECV value was calculated with the formula:ECV=(1-hematocrit)×(△HU tumor/△HU aorta).According to the postoperative recurrence within 24 months after surgery,they were divided into early recurrence group and non early recurrence group.Statistical indexes:① Consistency analysis.② The factors affecting early recurrence after resection of gastric mesenchymal stromal tumors were analyzed and a prediction model was conducted.Delong test was used to assess the predictive value of the model.Then a nomogram was plotted based on the combines model,and calibration curves were drawn to assess the efficacy of the column charts,and decision curve analysis(DCA)was adopted to assess the value of the model for clinical application.Results ① Consistency analysis.After 2 radiologists outlined the region of interest and obtained ECV value according to the above formula,The intraclass correlation coefficient(ICC)was 0.806.② For the 110 subjected patients,21 cases of them had early recurrence,and 89 one did not.Multivariate analysis showed that ECV value,risk degree,and tumor length were independent influencing factors for predicting early recurrence.Receiver operating characteristic(ROC)curve analysis indicated that the area under the curve(AUC)value of ECV,hazard degree,and tumor length diameter in predicting early recurrence was 0.838(95％CI 0.758～0.918),0.774(95％CI 0.656～0.892),and 0.700(95％CI 0.589～0.810),respectively,and the value of their combined model was 0.899(95％CI 0.811～0.987),which was higher than that of each independent model.The sensitivity and specificity of the combined model was 85.71％and 86.52％,respectively,and the optimal cutoff value was 0.19.Delong test revealed that there was statistical difference between the combined model and the clinical model established by the hazard level(Z=6.548,P＜0.001,95％CI 0.140～0.259).Calibration curve analysis suggested that the combined model had a better fit,and DCA displayed that the combined model had a better net benefit.Conclusion The model established by ECV combined with pathological indicators has good predictive performance and can be used as a more effective predictor of early recurrence of gastric mesenchymal tumors after surgery.

Objective:To explore the role of tripartite motif-containing protein 21(TRIM21)in chronic apical periodontitis(CAP)and its potential mechanism.Methods:Human CAP tissue and normal periodontal tissue were collected.The expression of inflamma-tory factors(IL-1 β,IL-6,TNF-a,TGF-β1),osteoclast related genes(TRAP,RANKL,CTSK),macrophage polarization related genes(CD86,iNOS,CD206,Arg1)and TRIM21 were detected by RT-qPCR.TRIM21 protein was detected by immunohistochemical staining,and the osteoclasts was detected by tartrate resistant acid phosphatase(TRAP)staining.The inflammation cell model was es-tablished by stimulating Raw264.7 cells with lipoteichoic acid(LTA)or lipopolysaccharide(LPS),and the expression of the above factors was detected.The bone marrow-derived macrophages(BMDMs)extracted from wild-type and TRIM21-/-mice stimulated by LPS were used to verify the expression of the above factors by RT-qPCR,the osteoclasts were detected by TRAP staining,and the po-larization of macrophages was detected by immunofluorescence staining.Results:In CAP tissue the expression of inflammatory factors,osteoclast related genes,CD86,iNOS and TRIM21 increased,while CD206 and Arg1 decreased,and osteoclasts were more than that in normal tissue.The stimulation of LTA/LPS promoted the proliferation of Raw264.7 cells,and the expression of these factors in cells was consistent with that in tissues.After LPS stimulation,BMDMs of TRIM21-/-mice had lighter inflammation,lower expression of os-teoclast specific genes,fewer osteoclasts and lower M1 polarization than those of wild type mice.Conclusion:TRIM21 might promote the progress of CAP by promoting M1 polarization of macrophages.

Objective:To explore the application effect of case-based learning (CBL), teaching mode combined with 3D printing in clinical teaching of sacral tumors.Methods:A total of 108 undergraduate interns and standardized residency training students who studied in our hospital from 2017 to 2018 were divided into the CBL teaching group ( n = 53) and the CBL combined with 3D printing teaching group ( n = 55) according to their study time. The combined teaching group used computer tomography (CT) data to reconstruct and print out a 3D model of sacral tumors based on CBL, and performed preoperative teaching on the invasion of the surrounding tissues of the tumor. The scores of the students in the two groups were evaluated respectively, and the students were surveyed by self-identification questionnaire (learning interest, self-learning ability, teamwork ability, comprehensive analysis ability and clinical thinking ability). The t-test (one-sided) was used for comparison between groups using stata 14.0. Results:The score of CBL teaching group (75.90±6.70) was lower than that of CBL combined with 3D printing teaching group (83.60±7.40). In terms of critical thinking ability evaluation, self-learning ability, learning interest, comprehensive analysis ability and clinical thinking ability, the CBL combined 3D printing teaching group was superior to the CBL teaching group, and the difference was statistically significant ( P<0.001). In terms of teamwork ability, there was no statistical difference between the two groups. Conclusion:The CBL teaching mode combined with 3D printing can improve academic performance, students' learning interest and clinical thinking ability of sacral tumors in the teaching of undergraduate interns and standardized residency training students.

In order to implement the teaching philosophy of "early clinical, multiple clinical, and repeated clinical", this study takes the "New Medical Professional Experience Social Practice" as a research course, analyzes the reform of pediatric clinical teaching, and evaluates the teaching effectiveness through classroom interviews and post-class questionnaire surveys. The results showed that through the combination of online and offline learning and multiple evaluation models, it was found that students with more hands-on teaching content in offline teaching were more interested and evaluated. Eight-year students had higher participation in offline teaching than five-year students, and 8-year students also rated online teaching higher than five-year students. A total of 151 [84.36%(151/179)] students have learned about the clinical work of pediatricians through this course. The reform of pediatric clinical teaching based on the concept of early clinical teaching can achieve the teaching goal of early clinical practice and early contact for medical students.

Objective:To analyze the clinical characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine breakthrough infections in children, and to provide reference basis for the SARS-CoV-2 vaccination in children.Methods:A total of 97 children aged 3 to 14 years and diagnosed with coronavirus disease 2019 (COVID-19) admitted to Xi′an People′s Hospital (Xi′an Fourth Hospital) from December 27, 2021 to February 7, 2022 were included. According to the COVID-19 vaccination status, the enrolled children were divided into unvaccinated group, partially vaccinated group and fully vaccinated group, and the clinical data of the children in the three groups were collected and compared. Chi-square test, two independent sample t-test and Kruskal-Wallis H test were used for statistical analysis. Results:Totally 97 children including 49 males and 48 females were enrolled, with 87(89.7%) children of mild type, 10(10.3%) children of common type, and no severe or critical case. The proportions of unvaccinated, partially vaccinated and fully vaccinated preschool-aged children (3 to 6 years old) were 56.5%(13/23), 30.8%(12/39) and 17.1%(6/35), respectively, while those of school-aged children (7 to 14 years old) were 43.5%(10/23), 69.2%(27/39) and 82.9%(29/35), respectively. The vaccination proportion in preschool-aged children was significantly lower than that in school-age children ( χ2=9.94, P=0.007). The proportion of the children with fever in fully vaccinated group was 17.1%(6/35), which was lower than that in unvaccinated group (43.5%, 10/23), and the difference was statistically significant ( χ2=4.82, P=0.028). The cycle threshold (Ct) values of the open reading frame ( ORF)1 ab gene in the unvaccinated, partially vaccinated and fully vaccinated groups were 33.77(26.87, 36.58), 35.23 (33.45, 38.57) and 37.12 (34.91, 39.39), respectively, and there was a statistically significant difference among the groups ( H=7.76, P=0.021). The Ct values of the nucleocapsid protein ( N) gene in the three groups were 32.26(25.85, 36.18), 35.12(33.18, 37.96) and 37.26(34.27, 39.24), respectively, and the difference among the groups was statistically significant ( H=7.84, P=0.020). The Ct values of ORF1 ab gene and N gene in fully vaccinated group were higher than those in unvaccinated group, and the differences were statistically significant ( Z=-2.69, P=0.007 and Z=-2.39, P=0.017, respectively). The duration of viral shedding in fully vaccinated children was (9.9±4.1) d, which was shorter than that in unvaccinated children ((12.8±3.7) d), and the difference was statistically significant ( t=2.72, P=0.009). Conclusions:The majority of children with breakthrough infections with SARS-CoV-2 are mild. Vaccination may effectively shorten the duration of viral shedding. And fully vaccination is associated with mild clinical symptoms and lower serum viral load compared to unvaccinated children.