To introduce the general thinking, guidelines, work objectives and elaboration process of the general technical requirements adopted by volume Ⅳ of the Chinese Pharmacopoeia 2025 Edition, and to summarize and figure out the main characteristics on dosage forms, physico-chemical testing, microbial and biological testing, reference standards and guidelines The newly revised general chapters of pharmacopoeia give full play to the normative and guiding role of the Chinese Pharmacopoeia standard, track the frontier dynamics of international drug regulatory science and the elaboration of monographs, expand the application of state-of-the-art technologies, and steadily promote the harmonization and unification with the ICH guidelines； further enhance the overall capacity of TCM quality control, actively implement the 3 R principles on animal experiments, and practice the concept of environmental-friendly； replace and/or reduce the use of toxic and hazardous reagents, strengthen the requirements of drug safety control This paper aims to provide a full-view perspective for the comprehensive, correct understanding and accurate implementation of general technical requirements included in the Chinese Pharmacopoeia 2025 Edition.

Purpose: Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function. Materials and Methods: Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection. Results: The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways. Conclusions Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.

Purpose: Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function. Materials and Methods: Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection. Results: The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways. Conclusions Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.

Purpose: Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function. Materials and Methods: Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection. Results: The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways. Conclusions Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.

Purpose: Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function. Materials and Methods: Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection. Results: The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways. Conclusions Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.

Purpose: Erectile dysfunction (ED) is a common male sexual dysfunction. Gut microbiota plays an important role in various diseases. To investigate the effects and mechanisms of intestinal flora dysregulation induced by high-fat diet (HFD) on erectile function. Materials and Methods: Male Sprague–Dawley rats aged 8 weeks were randomly divided into the normal diet (ND) and HFD groups. After 24 weeks, a measurement of erectile function was performed. We performed 16S rRNA sequencing of stool samples. Then, we established fecal microbiota transplantation (FMT) rat models by transplanting fecal microbiota from rats of ND group and HFD group to two new groups of rats respectively. After 24 weeks, erectile function of the rats was evaluated and 16S rRNA sequencing was performed, and serum samples were collected for the untargeted metabolomics detection. Results: The erectile function of rats and the species diversity of intestinal microbiota in the HFD group was significantly lower, and the characteristics of the intestinal microbiota community structure were also significantly different between the two groups. The erectile function of rats in the HFD-FMT group was significantly lower than that of rats in the ND-FMT group. The characteristics of the intestinal microbiota community structure were significantly different. In the HFD-FMT group, 27 metabolites were significantly different and they were mainly involved in the several inflammation-related pathways. Conclusions Intestinal microbiota disorders induced by HFD can damage the intestinal barrier of rats, change the serum metabolic profile, induce low-grade inflammation and apoptosis in the corpus cavernosum of the penis, and lead to ED.

Drug-drug interaction (DDI) refers to the interaction between two or more drugs in the body, altering their efficacy or pharmacokinetics. Fully considering and accurately predicting DDI has become an indispensable part of ensuring safe medication for patients. In recent years, many deep learning-based methods have been proposed to predict DDI. However, most existing computational models tend to oversimplify the fusion of drug structural and topological information, often relying on methods such as splicing or weighted summation, which fail to adequately capture the potential complementarity between structural and topological features. This loss of information may lead to models that do not fully leverage these features, thus limiting their performance in DDI prediction. To address these challenges, we propose a relation-aware cross adversarial network for predicting DDI, named RCAN-DDI, which combines a relationship-aware structure feature learning module and a topological feature learning module based on DDI networks to capture multimodal features of drugs. To explore the correlations and complementarities among different information sources, the cross-adversarial network is introduced to fully integrate features from various modalities, enhancing the predictive performance of the model. The experimental results demonstrate that the RCAN-DDI method outperforms other methods. Even in cases of labelled DDI scarcity, the method exhibits good robustness in the DDI prediction task. Furthermore, the effectiveness of the cross-adversarial module is validated through ablation experiments, demonstrating its superiority in learning multimodal complementary information.

Objective:To systemically evaluate the characteristics of cytokine levels in intraocular fluid of neovascular glaucoma (NVG).Methods:Literature on the detection of cytokine levels in NVG published before June 2022 was searched in PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang databases, and China Science and Technology Journal Database (VIP).Two investigators independently completed the literature search, inclusion, and data extraction following the inclusion and exclusion criteria.Quantitative analyses were performed using Stata 16.0 software.Study heterogeneity was assessed using the I2 test, and effects were combined using the appropriate effect model to complete the meta-analysis. Results:A total of 24 studies were screened, including 771 NVG cases and 727 age-related cataract cases (control group).The standardized mean difference ( SMD) of the combined effect value of vascular endothelial growth factor (VEGF) mass concentration in the aqueous humor between the two groups was 8.79, with a 95% confidence interval ( CI) of 6.43 to 11.14.The SMD of interleukin-6 (IL-6) between the two groups was 12.50, with a 95% CI of 9.41 to 15.58.The VEGF and IL-6 levels in aqueous humor and vitreous humor were significantly higher in NVG group than in control group (all at P<0.05).The pigment epithelium-derived factor (PEDF) level in aqueous humor was lower in NVG group than in control group ( SMD: -3.03, 95% CI: -5.50--0.55, P<0.05).The levels of IL-8 ( SMD: 3.99, 95% CI: 1.14-6.85), erythropoietin (EPO) ( SMD: 9.62, 95% CI: 0.44-18.79), placental growth factor (PIGF) ( SMD: 2.62, 95% CI: 1.38-3.86), tumor necrosis factor-α (TNF-α) ( SMD: 3.37, 95% CI: 1.87-4.87) were all significantly higher in NVG group than in control group (all at P<0.05).There was no significant difference in IL-1β level in aqueous humor between the two groups ( P>0.05). Conclusions:In NVG patients, VEGF, IL-6, IL-8, EPO, PIGF, TNF-α levels are obviously increased and PEDF level is obviously decreased.These biomarkers can be used as potential predictors or therapeutic targets for NVG.

Objective:To explore the application of virtual augmented reality (AR) technology combined with transcranial Doppler ultrasound (TCD) in nursing teaching of cerebrovascular diseases.Methods:Eighty-six nursing students who interned in the Department of Neurology of The First Affiliated Hospital of Army Medical University from January 2021 to November 2022 were assigned into control group (students of grade 2021) and research group (students of grade 2022). The control group received traditional teaching with AR technology about the anatomy of the cerebral arterial circle, its composition, and adjacent structures. The research group was given AR-assisted teaching combined with TCD-based demonstration and interpretation. At the end of internship, the assessment scores, satisfaction with teaching, clinical decision-making ability, self-learning ability, and problem-solving ability were compared between the two groups. SPSS 23.0 was used to perform the non-parametric test, t test, and chi-square test. Results:The theoretical, practical, and comprehensive ability assessment scores of the research group [90 (89, 96), 95 (90, 96), and 93 (90, 96), respectively] were significantly higher than those of the control group [89 (87, 91), 90 (89, 92), and 91 (89, 94), respectively]. In terms of satisfaction with teaching effects, teaching methods, teaching content, and teaching style, the scores of the research group [16 (15, 18), (5.98±0.91), (3.38±0.52), and 13 (11, 14), respectively] were significantly higher than those of the control group [14 (13, 16), (4.23±0.65), (2.37±0.36), and 13 (10, 14 ), respectively]. The research group showed significantly better independent learning abilities than the control group in information seeking [(4.66±0.71) vs. (4.00±0.61)] and solution seeking [(4.43±0.68) vs. (4.41±0.67)], with no significant differences in the other dimensions between the two groups. The research group was significantly superior to the control group in all problem-solving dimensions: positive orientation [12 (10, 12) vs. 10 (9, 11)], rationality [26 (23, 28) vs. 21 (21, 24)], negative orientation [15 (13, 20) vs. 20 (17, 20)], avoidance style [17 (15, 18) vs. 19 (17, 20)], and impulsivity/neglect style [16 (15, 18) vs. 18 (16, 20)]. For rounds assessment, the research group showed significantly higher scores than the control group in all the items except " communication with patients" [(9.21±0.39) vs. (9.04±0.53)] and "patient satisfaction with nursing students" [(8.92±0.53) vs. (8.73±0.56)].Conclusions:The teaching method based on AR combined with TCD can improve nursing students' knowledge of cerebrovascular diseases, clinical nursing ability, and satisfaction with teaching.

Purpose/Significance A prediction model is constructed based on real-world data to achieve prediction and early screening of type 2 diabetic microvascular complications.Method/Process Based on the real world data of Nanjing Drum Tower Hospital in the past 10 years,a particle swarm optimization based deep belief network(PSO-DBN)prediction model for microvascular complica-tions in type 2 diabetes mellitus is constructed by taking test results and medical record documents into consideration.Result/Conclusion The PSO-DBN model can predict diabetic microvascular complications,and the performance is better than that of random forest and sup-port vector machine(SVM)benchmark models,it provides references for the research of disease prediction model of real-world data.