Objective To develop a deep learning method for volumetric assessment of traumatic intracerebral hemorrhage(TICH)using the Trans-UNet model and to compare its performance with traditional formula-based methods.Methods CT data from 141 TICH patients admitted to Army Medical Center of PLA between May 2018 and May 2023 were collected.A deep learning method based on the Trans-UNet model was established.Manual delineation via picture archiving and communication system(PACS)was served as the gold standard for comparing the accuracy,consistency,and time efficiency of our method against 10 different formula-based methods for measuring the amount of TICH.Results The median volume of TICH,as manual delineation via PACS,was 1.167 mL,with a median measurement time of 135 s per patient.The median percentage error in volume between the deep learning method and manual delineation via PACS was 3.59％.Spearman correlation coefficient was 0.999(P＜0.001),and a median measurement time was only 4.38 s per patient.In contrast,in the formula-based methods,the lowest median percentage error in volume was 16.451％,the highest Spearman correlation coefficient was 0.986(P＜0.001),and the lowest median measurement time was 20 s for a single patient.The statistical differences were observed in percentage error in volume and measurement time between the 2 types of methods(all P＜0.001).Conclusion Our developed deep learning method for volumetric assessment of TICH is superior to the formula-based methods in terms of measurement accuracy and time efficiency.

Objective:To explore the effects of miR-451 on glycolysis and apoptosis of breast cancer cells by regulating the Rho/ROCK1 pathway.Methods:Breast cancer MCF7 cells were divided into breast cancer cells (BC) group, breast cancer cells + miR-451-NC (MN) group, breast cancer cells + miR-451 inhibitor (MI) group, breast cancer cells + miR-451 mimic (MM) group, breast cancer cells + lysophosphatidic acid (BL) group, breast cancer cells + fasudil (BF) group, and breast cancer cells + miR-451 mimic + fasudil (MF) group. Glucose uptake detection kit and lactate detection kit were used to detect cell glycolysis, DAPI staining was used to detect cell apoptosis, Western blotting was used to detect Rho/ROCK1 pathway protein expression, and double luciferase reporting assay was used to confirm the interaction between miR-451 and Rho/ROCK1.Results:The glucose intake of cells in the BC group, MN group, MI group and MM group were (14.22±2.36) ×10 5 mg/h, (14.20±2.37) ×10 5 mg/h, (21.55±2.43) ×10 5 mg/h, (6.19±1.34) ×10 5 mg/h ( F=5.30, P<0.001), respectively, and lactic acid production were (1.52±0.21) ×10 5 μg/h, (1.53±0.22) ×10 5 μg/h, (2.05±0.32) ×10 5 μg/h, (0.54±0.12) ×10 5 μg/h ( F=3.28, P=0.008), respectively. The apoptosis rates were (10.13±1.35) %, (10.16±1.37) %, (5.36±1.24) %, (28.47±2.56) % ( F=6.36, P<0.001), respectively. The expressions of Rho protein were 2.31±0.46, 2.32±0.41, 2.95±0.35, 1.05±0.25 ( F=2.86, P=0.017), respectively. The expressions of ROCK1 protein were 2.51±0.41, 2.52±0.42, 3.05±0.33, 1.15±0.13 ( F=2.43, P=0.035), and there were statistically significant differences between the MN and MI groups, MN and MM groups, MI and MM groups (all P<0.05). The glucose intake in the BC group, BL group and BF group were (14.22±2.36) ×10 5 mg/h, (21.54±2.40) ×10 5 mg/h, (6.20±1.35) ×10 5 mg/h ( F=5.33, P<0.001), respectively. Lactic acid production were (1.52±0.21) ×10 5 μg/h, (2.01±0.30) ×10 5 μg/h, (0.55±0.12) ×10 5 μg/h ( F=3.28, P=0.008), respectively. The apoptosis rates were (10.13±1.35) %, (5.34±1.22) %, (28.44±2.54) % ( F=6.45, P<0.001). The expressions of Rho protein were 2.31±0.46, 2.94±0.45, 1.01±0.24 ( F=2.40, P=0.037), respectively, and the expressions of ROCK1 protein were 2.51±0.41, 3.08±0.42 and 1.13±0.12, respectively ( F=2.38, P=0.039). The pairwise comparisons among the three groups were statistically significant (all P<0.05). In the MF group, glucose intake was (3.21±0.89) ×10 5 mg/h, lactic acid production was (0.33±0.04) ×10 5 μg/h, apoptosis rate was (38.01±2.87) %, Rho protein expression was 0.55±0.14, and ROCK1 protein expression was 0.51±0.10. There were statistically significant differences among the MM group, BF group and MF group ( F=4.53, P=0.001; F=4.26, P=0.002; F=6.12, P<0.001; F=4.06, P=0.002; F=9.72, P<0.001), and there were statistically significant differences between the MF group and BF group (all P<0.05). Dual luciferase report showed that miR-451 transfection significantly decreased the luciferase activity of ROCK1-3'-UTR-WT (0.59±0.03 vs. 1.01±0.05, t=17.64, P<0.001), but had no significant effect on mutated genes (1.01±0.07 vs. 1.02±0.04, t=0.30, P=0.767) . Conclusion:Overexpression of miR-451 can significantly inhibit glycolysis of breast cancer cells and promote apoptosis of breast cancer cells, the mechanism of which may be related to inhibition of Rho/ROCK1 pathway.

Objective To compare the effects of different statistical protocols on the results of external quality assessment(EQA)of se-men,and select appropriate statistical protocols for the promotion of EQA of semen.Methods Taking sperm concentration as an ex-ample,the semen EQA data of 20 laboratories in Hunan Province in 2022 were selected,and the advantages and disadvantages of the traditional statistical scheme(TSS),robust statistical scheme(RSS)and traditional statistical scheme after eliminating the"outliers"(TSEOS)combined with robust statistical technology were analyzed and compared.Results The"outliers"could not be excluded from the sperm concentration data of the four groups in the TSS,which led to the difference between TSS and RSS or TSEOS.The num-ber of qualified laboratories for TSS and RSS were 19 vs 16,19 vs 16,19 vs 19,and 19 vs 19,respectively.Conclusion The results of RSS are similar to those of TSEOS.Compared with TSS,RSS do not need to remove outlier data steps,and are more suitable for se-men EQA data analysis with small data volume.

Objective:To investigate the driving effect of prostate cancer associated transcript 4 (PCAT4) on the up-regulation of upregulator of cell proliferation (URGCP) expression in breast cancer progression through sponging miR-508-5p.Methods:The microarray data of lncRNA and miRNA with differential expression in breast cancer tissue were analyzed by Cancer Genome Atlas. The expression of PCAT4 in breast cancer was evaluated by real-time quantitative polymerase chain reaction (RT-qPCR). Cell proliferation was measured by MTT and colony formation, cell apoptosis was analyzed by TUNEL, and cell migration and invasion were analyzed by Transwell. The correlation between PCAT4 and miR-508-5p, and miR-508-5p and URGCP was analyzed by RNA pull-down and double luciferase assay. Tumor xenograft studies were performed to analyze the correlation between PCAT4/miR-508-5p/URGCP axis and breast cancer cell growth in vivo. Measurement data were expressed as mean ± standard deviation ( ± s). T-test was used for comparison between two groups, and one-way analysis of variance was used for comparison between multiple groups. The correlation between PCAT4 and URGCP and miR-508-5p expression was evaluated by Pearson correlation analysis. Results:The expression level of PCAT4 was up-regulated in breast cancer tissues and cells. Knockout of PCAT4 inhibited cell proliferation and metastasis and promoted cell apoptosis. miR-508-5p was the target of PCAT4 and was negatively correlated with PCAT4. Overexpression of miR-508-5p in breast cancer can inhibit cell growth, migration and invasion, and promote cell apoptosis. URGCP is the target of miR-508-5p and induces progression of breast cancer. Tumor xenograft studies showed that PCAT4 drives breast cancer progression by affecting miR-508-5p/URGCP.Conclusion:The expression of PCAT4 is up-regulated in breast cancer tissues and cells, and PCAT4 can act as a molecular sponge of miR-508-5p, and significantly promote breast cancer progression by activating URGCP protein expression.

China Pharmaceutical University proposed and established the first second-level discipline of pharmaceutical pedagogy in China under the first-level discipline of pharmacy in 2021.Through exploring the value of pharmaceutical pedagogy and clarifying its connotation and development path, the construction of the discipline will be firmly pushed forward with a good start, laying a solid foundation for the connotative and high-quality development of pharmaceutical education in China.Using comparison, literature review and historical survey, iconic discipline factors in similar disciplines of pharmaceutical pedagogy, like medical pedagogy, nursing pedagogy, health education and social & administrative pharmacy were investigated.Our researches showed that pharmaceutical pedagogy in its narrow sense refers to the discipline of studying the phenomena and problems of pharmaceutical education with the cultivation of pharmaceutical talents as the core, and revealing the laws and characteristics of pharmaceutical education.The construction of pharmaceutical pedagogy should be further promoted with more academic achievements, stronger academic teams, organizations and journals with better and higher platforms of academic research.It was suggested that pharmaceutical pedagogy should be guided by Marxist philosophy in improving its academic system, academic institutions, academic teams and ability in participating in academic governance independently and openly.Pharmaceutical pedagogy is expected to accelerate the construction of theoretical system and discourse system of pharmaceutical education with Chinese characteristics, aiming to provide stronger intellectual support and knowledge contribution for pharmaceutical education in China and for China.

Background::Circular RNAs (circRNAs) are endogenous non-coding RNAs, some of which have pathological roles. The current study aimed to explore the role of circRNA BTG3-associated nuclear protein (circ-BANP) binding with let-7f-5p and its regulation of the toll-like receptor 4 (TLR4)/signal transducer and activator of transcription 3 (STAT3) signaling pathway in residual hepatocellular carcinoma (HCC) after insufficient radiofrequency ablation (RFA).Methods::Circ-BANP, let-7f-5p, and TLR4 expressions in HCC samples were assessed using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and Western blotting. Bioinformatics prediction, RNA pull-down assay, and dual luciferase reporter gene assay were used to analyze the relationships among circ-BANP, let-7f-5p, and TLR4. Huh7 cells were used to generate an in vitro model of residual HCC, defined as Huh7-H cells, which were transfected with either a plasmid or the sequence of circ-BANP, let-7f-5p, or TLR4. Expression of circ-BANP, let-7f-5p, and TLR4 mRNA was determined by RT-qPCR. TLR4, STAT3, p-STAT3, vascular endothelial growth factor A, vascular endothelial growth factor receptor-2, and epithelial-mesenchymal transformation (EMT)-related factors proteins were determined by Western blotting. Cell proliferation was determined by cell counting kit-8 and 5-Ethynyl-2’-deoxyuridine (EdU) assay and cell migration and invasion by Transwell assay. Animal studies were performed by inducing xenograft tumors in nude mice. Results::Circ-BANP and TLR4 mRNAs were upregulated in HCC tissues (the fold change for circ-BANP was 1.958 and that for TLR4 was 1.736 relative to para-tumors) and expression further increased following insufficient RFA (fold change for circ-BANP was 2.407 and that of TLR4 was 2.224 relative to para-tumors). Expression of let-7f-5p showed an opposite tendency (fold change for let-7f-5p in HCC tissues was 0.491 and that in tumors after insufficient RFA was 0.300 relative to para-tumors). Competitive binding of circ-BANP to let-7f-5p was demonstrated and TLR4 was identified as a target of let-7f-5p (P < 0.01). Knockdown of circ-BANP or elevation of let-7f-5p expression inhibited the TLR4/STAT3 signaling pathway, proliferation, invasion, migration, angiogenesis, and EMT in Huh7 and Huh7-H cells ( P < 0.01). The effects induced by circ-BANP knockdown were reversed by let-7f-5p inhibition. Overexpression of TLR4 reversed the impact of let-7f-5p upregulation on the cells ( P < 0.01). Silencing of circ-BANP inhibited the in vivo growth of residual HCC cells after insufficient RFA ( P < 0.01). Conclusions::Knockdown of circ-BANP upregulated let-7f-5p to inhibit proliferation, migration, and EMT formation in residual HCC remaining after insufficient RFA. Effects occur via regulation of the TLR4/STAT3 signaling pathway.

Objective: To investigate the value of initial CT quantitative analysis of ground-glass opacity (GGO), consolidation, and total lesion volume and its relationship with clinical features for assessing the severity of coronavirus disease 2019 (COVID-19). Materials and Methods: A total of 84 patients with COVID-19 were retrospectively reviewed from January 23, 2020 to February 19, 2020. Patients were divided into two groups: severe group (n = 23) and non-severe group (n = 61). Clinical symptoms, laboratory data, and CT findings on admission were analyzed. CT quantitative parameters, including GGO, consolidation, total lesion score, percentage GGO, and percentage consolidation (both relative to total lesion volume) were calculated. Relationships between the CT findings and laboratory data were estimated. Finally, a discrimination model was established to assess the severity of COVID-19. Results: Patients in the severe group had higher baseline neutrophil percentage, increased high-sensitivity C-reactive protein (hs-CRP) and procalcitonin levels, and lower baseline lymphocyte count and lymphocyte percentage (p < 0.001). The severe group also had higher GGO score (p < 0.001), consolidation score (p < 0.001), total lesion score (p < 0.001), and percentage consolidation (p = 0.002), but had a lower percentage GGO (p = 0.008). These CT quantitative parameters were significantly correlated with laboratory inflammatory marker levels, including neutrophil percentage, lymphocyte count, lymphocyte percentage, hs-CRP level, and procalcitonin level (p < 0.05). The total lesion score demonstrated the best performance when the data cut-off was 8.2%. Furthermore, the area under the curve, sensitivity, and specificity were 93.8% (confidence interval [CI]: 86.8–100%), 91.3% (CI: 69.6–100%), and 91.8% (CI: 23.0–98.4%), respectively. Conclusion CT quantitative parameters showed strong correlations with laboratory inflammatory markers, suggesting that CT quantitative analysis might be an effective and important method for assessing the severity of COVID-19, and may provide additional guidance for planning clinical treatment strategies.

Objective:To investigate whether coxsackievirus A 16 (CVA16) infection would affect the expression of N6-methyladenosine (m 6A) methylation-related proteins in human bronchial epithelial cells (16HBE), ICR suckling mice and SCRBA2 humanized mice and influence their subcellular localization. Methods:CVA16 was used to infect 16HBE cells at a multiplicity of infection (MOI) of 0.1 and mice at 10 7 CCID 50/ml. Changes in the expression of methyltransferases, demethylases and methylated reading proteins were analyzed by Western blot. Cellular localization of these proteins was observed using immunofluorescence. Results:The expression of m 6A methylation-related proteins was gradually reduced in CVA16-infected cells with time, but showed no obvious change in ICR suckling mice or SCRBA2 humanized mice. After infection, m 6A methylation-related proteins were redistributed in both the nucleus and cytoplasm and even degraded. Conclusions:CVA16 replication in host cells altered the expression and cellular localization of m 6A methylation-related proteins, which indicated that m 6A modification might be a new potential target for enterovirus therapy.

Objective To investigate the clinical value of radiomics nomogram,which is established by 18F-fluorodeoxyglucose (FDG) PET/CT radiomics signature combined with clinical-pathologic risk factors,in predicting the prognosis of patients with postoperative gastric carcinoma.Methods 18F-FDG PET/CT data of 207 patients (143 males,64 females,age range:20-85 years) with postoperative gastric carcinoma from January 2008 to August 2015 was reviewed retrospectively.Patients were divided into training group (n=104) and validation group (n =103),and the clinicopathologic information and disease-free survival (DFS) data were acquired.Significant textural features were selected from PET/CT images,and radiomics score (RS) for individual patient was calculated based on the radiomics signatures.The relationship between RS and DFS was analyzed.Cox regression analysis was performed to determine the risk factors ofDFS.The radiomics nomo-gram,obtained from combination of RS with clinicopathologic risk factors,was established and further evaluated in predictive value for recurrence or metastasis of postoperative gastric carcinoma,and the concordance index (C-index) was calculated.Results Cox regression analysis demonstrated that RS,tumor location,depth of invasion,lymph node metastasis,and distant metastasis were the significant risk factors for DFS (hazard ratios:2.148-2.828,all P＜0.05).The radiomics nomogram combined with RS and 4 clinicopathologic risk factors had a better prediction for the estimated DFS,comparing to RS alone.C-index of radiomics nomogram and RS were 0.830 and 0.700 in training group,and 0.776 and 0.681 in validation group,respectively.Conclusion Radiomics nomogram which is established by radiomics signatures and clinicopathologic risk factors may be better for predicting DFS of patients with postoperative gastric carcinoma.

OBJECTIVE： To provide experience and reference for the study of medical insurance budget impact analysis （BIA） in China. METHODS： Retrieved from PubMed， ProQuest， CNKI， Wanfang database and CBM， related literatures about medical insurance BIA research in China and the United States were collected since the establishment of the database. The basic information， analysis results and data sources were summarized and sorted out， and descriptive analysis of the included literature was carried out on basis of seven key elements such as model design， research perspective， treatment cost， reference scenario， target population， research time limit and discount/inflation， sensitivity analysis. RESULTS： A total of 72 literatures were included in this study， involving 24 （33.33％） studies in China， 48 （66.67％） studies in the United States； the indications of 45 studies were chronic diseases （62.50％）， and those of 21 studies were acute diseases （37.50％）. Among the research methods， 49 studies （68.06％） used BIA alone and 23 studies （31.94％） adopted BIA combined with pharmaceutical economics. In terms of model design， 50 studies （69.44％） adopted cost calculation models. In terms of research perspective， 60 studies （81.94％） were based on the perspective of medical insurance department research. In the calculation of treatment cost， 69 studies （95.84％） included drug cost. In terms of reference scenarios， 61 studies （84.72％） compared the economics of different drug-based treatment groups. For target population， only 31  （43.06％） studies used real world data. In terms of research duration and discount/inflation， 14 studies （19.44％） used treatment or length of hospitalization to indicate research duration， and 19 studies （26.39％） used discount rate or inflation rate to adjust costs. As for sensitivity analysis， 62 studies （86.11％） conducted sensitivity analysis， of which 49 （68.06％） used single factor sensitivity analysis. CONCLUSIONS： There are still some limitations in medical insurance BIA research literature in China and the United States， such as unreasonable use of data， incomplete coverage of the cost， and unreasonable setting of sensitivity analysis variables. It is recommended that BIA research should standardize data sources to improve the quality of budget evidence quality， reasonably evaluate market size to improve the authenticity of prediction， scientifically set variables and their scope of change to improve the stability of results， establish BIA research paradigms or evaluating standards so as to guide BIA research scientifically.