OBJECTIVE To investigate the current career development status and existing bottlenecks among graduates of clinical pharmacist training bases， and to provide evidence for optimizing the training system， enhancing trainees’ job competency， and promoting the sound development of the clinical pharmacy discipline. METHODS Graduates from a clinical pharmacist training base in a tertiary class A hospital were selected as survey subjects. A six-dimensional questionnaire was designed using “Wenjuanxing” platform， distributed and collected via a mobile APP and E-mail. The survey analyzed participants’ basic characteristics， the impact of training on their professional roles， as well as their satisfaction regarding professional sentiment， competence， career status， professional recognition， the current state of the clinical pharmacist workforce， and the teaching model of the training base. The reliability of the questionnaire responses was assessed using Cronbach’s α coefficient. RESULTS A total of 164 questionnaires were distributed， and 147 valid responses were recovered， yielding a valid response rate of 89.63%. The Cronbach’s α coefficient for the questionnaire content was 0.943. The surveyed trainees were primarily employed at general hospitals （81.63%） and tertiary class A hospitals （72.11%）， with women constituting the majority （79.59%）. Their ages were concentrated between 26 and 35 years old （63.27%）， and most of them were supervising pharmacists（59.86%）. After training， 96.60% of graduates returned to their original institutions， and the proportion working in clinical pharmacist positions increased from 52.38% to 84.35%. Trainees’ overall satisfaction rate with the training model was 84.35%. However， their satisfaction with innovation and research capacity in clinical pharmacy was only 42 .18%， the satisfaction with salary and benefits was 35.37%， and the satisfaction with both occupational recognition and rationality of staffing was less than 50%. CONCLUSIONS Clinical pharmacist training bases can effectively promote trainees’ career transition， enhance job competency， and stabilize the talent pool among trainees. Nonetheless， the profession still faces bottlenecks such as relatively weak research capacity， low compensation， insufficient professional recognition， and unreasonable staffing. These issues require a multi-pronged， collaborative approach involving the optimization of training systems， the enhancement of career support， and the improvement of industry policies.

Metabolic-bariatric surgery(MBS)has become an important treatment for pathological obesity and metabolic diseases.However,common postoperative nutritional complications—such as protein-energy malnutrition,iron deficiency anemia,and vitamin B12 deficiency—significantly affect patients' long-term prognosis.Traditional nutritional management models rely on static monitoring and standardized supplementation,which are insufficient to address individual variability and dynamic postoperative changes.Artificial intelligence(AI),through integrating multimodal data(such as biochemical indicators,imaging information,and wearable device monitoring)and intelligent modeling,offers new approaches for dynamic monitoring,risk prediction,and personalized intervention.Based on literature from 2017 to 2025,this article systematically evaluates the application of AI in perioperative nutritional management for MBS,covering key technologies including machine learning,deep learning,and natural language processing.It also analyzes current challenges in clinical translation,such as data fragmentation,lack of model interpretability,and limited long-term validation.In the future,enhanced multi-center collaboration,the development of standardized databases,and explainable models will be essential to advancing nutritional management in MBS from empirical practice to precision medicine.

Metabolic-bariatric surgery(MBS)has become an important treatment for pathological obesity and metabolic diseases.However,common postoperative nutritional complications—such as protein-energy malnutrition,iron deficiency anemia,and vitamin B12 deficiency—significantly affect patients' long-term prognosis.Traditional nutritional management models rely on static monitoring and standardized supplementation,which are insufficient to address individual variability and dynamic postoperative changes.Artificial intelligence(AI),through integrating multimodal data(such as biochemical indicators,imaging information,and wearable device monitoring)and intelligent modeling,offers new approaches for dynamic monitoring,risk prediction,and personalized intervention.Based on literature from 2017 to 2025,this article systematically evaluates the application of AI in perioperative nutritional management for MBS,covering key technologies including machine learning,deep learning,and natural language processing.It also analyzes current challenges in clinical translation,such as data fragmentation,lack of model interpretability,and limited long-term validation.In the future,enhanced multi-center collaboration,the development of standardized databases,and explainable models will be essential to advancing nutritional management in MBS from empirical practice to precision medicine.

Objective:To investigate the mechanism of KLF11 in the angiogenesis, metastasis, and invasion of colorectal cancer (CRC) by regulating the Akt/MDM2/p53 signaling pathway.Methods:Human colorectal cancer cells HCT-116 and normal colorectal mucosal epithelial cells FHC were routinely cultured, and HCT-116 cells were divided into control, pc-DNA3.1-NC, pc-DNA3.1-KLF11, and pc-DNA3.1-KLF11 + SC79 groups, and the pc-DNA3.1-KLF11 overexpression vector was transfected into the corresponding groups. KLF11 expression in CRC tissues and normal colorectal tissues was analyzed using an online tool called gene expression profiling interactive analysis (GEPIA). RT-qPCR and protein immunoblotting (WB) were used to detect changes in KLF11 expression levels and related proteins.CCK-8, cell scratch assay, and Transwell assay were used to assess cell viability, migration, and invasion ability. An angiomimetic formation assay was performed to observe angiogenesis. Western blot assay was performed to detect the effect of KLF11 on the Akt/MDM2/p53 pathway, metastasis, invasion, and angiogenesis-related protein expression. The experimental data were repeated 3 times, and the single-factor analysis of variance (ANOVA) was used for multiple group comparison, and LSD or Tamhare T2 test was used for pairwise comparison. Results:GEPIA analysis showed that KLF11 was lowly expressed in colon adenocarcinoma and rectal adenocarcinoma. KLF11 overexpression significantly decreased the viability, migration, and invasion ability of HCT-116 cells and reduced the number of angiogenesis. WB results showed that KLF11 overexpression affected the expression of key proteins in the Akt/MDM2/p53 signaling pathway, including decreased p-Akt, p-MDM2, Vimentin, VEGF, and HIF1-α proteins, while increasing the expression of p53 and E-cadherin proteins. The expression levels of the relevant proteins were reversed after treatment with the Akt inhibitor SC79.Conclusion:KLF11 inhibits the proliferative activity, migration, invasion, and angiogenesis of colorectal cancer cells by regulating the Akt/MDM2/p53 signaling pathway and may be a potential target for CRC therapy.

OBJECTIVE: To probe into the status quo of hospital pharmacy practice in Japan and to provide reference for the further improvement of hospital pharmacy model in China.METHODS: Hospital pharmacy practice in affiliated hospital of Nippon Medical School was introduced,and the development of hospital pharmacy practice in Japan in the past few decades was also investigated.RESULTS & CONCLUSIONS: There is still a certain gap in the level of hospital pharmacy between China and Japan,so it is particularly important to improve hospital pharmacy system in China by the means of defining the pharmacist's responsibility and obligation,etc.

Aim To observe the protective effects of choline and pilocarpine,the M3 receptor agonists,on the arrhythmias of Wistar rats induced by barium chloride.Methods Barium chloride was used to induce the experimental arrhythmias of Wistar rats.Choline,pilocarpine,and 4-diphenylacetoxy-N-methylpiperidine-methiodide (4-DAMP),the selective antagonist of M3 receptor,were used to explore the effects of M3 receptor on the arrhythmias induced by barium chloride.The occurence and the severity of arrhythmias were observed.Results Choline 10 mg?kg-1 and pilocarpine 0.2 mg?kg-1 inhibited the occurence of arrhythmias,shortened the duration of arrhythmias (P

AIM:To investigate the alteration of cardiac M3 receptor and its relationship with arrhythmias in various arrhythmic models.METHODS:Forty Wistar rats were randomly divided into 4 groups:control,aconitine,BaCl2 and ischemia.In the later three groups,arrhythmias were induced by treatment with aconitine,BaCl2 and coronary artery occlusion,respectively.The arrhythmias were recorded for 1 h.Western blotting was then used to detect M3 receptor contents.RESULTS:Arrhythmias were all induced in each group.In aconitine-induced arrhythmias,duration of arrhythmias and arrhythmia score were significantly increased than those in other two model groups.Western blotting showed that the expression of M3 receptor upregulated 2.3,1.4 and 1.3 folds respectively,more abundant in various arrhythmic groups than that in the normal control.Moreover,M3 receptor expression in aconitine group increased significantly than that in BaCl2 and ischemia group.The arrhythmias and M3 receptor protein expressions in myocytes were positively correlated.CONCLUSION:Arrhythmias upregulate the expression of cardiac M3 receptor.The upregulating levels of M3 receptor proteins diverge strikingly in different arrhythmic models.It is probably that the diversity of increase in M3 receptor is positive related to severity of ventricular arrhythmias.