OBJECTIVE To systematically review the status on pharmacist competency assessment tools both domestically and internationally， providing a theoretical basis for constructing scientific and applicable pharmacist competency assessment tools in China. METHODS Through literature review and comparative analysis， 15 representative domestic and international pharmacist competency assessment tools were systematically summarized， and their theoretical foundations， core dimensions， methodological characteristics and practical applications were compared and implications were given. RESULTS &CONCLUSIONS International research has established relatively mature evaluation systems. Represented by those developed from the United Kingdom， the United States， and the International Pharmaceutical Federation， these assessment tools demonstrate scientific structure， wide application， and dynamic and international applicability. While domestic research has progressed in sub-specialties such as clinical pharmacists， licensed pharmacists and pediatric pharmacists， it still faces challenges including insufficient standardization， inadequate validation， delayed updates， and limitations in practical application. The reasons for the disparities in assessment tools between China and other countries include differences in pharmaceutical care models， varying pharmacist training systems， cultural and social background factors， as well as differences in industry management and international influence. Based on this， the author suggests promoting the development and research of assessment tools for pharmacist job competency in China from four aspects： mechanism construction， system refinement， standardization development， and practical implementation.

ObjectiveTo investigate the effects of Tianma Goutengyin on the tumor necrosis factor-α （TNF-α）/signal transducer and activator of transcription 3 （STAT3）/α1-antichymotrypsin C-terminal tail fragment （α1ACT） signaling pathway and A1-type astrocytes in a rat model of vascular dementia. MethodsSeventy-two male Sprague-Dawley rats were randomly divided into six groups （n=12 per group）： Sham-operated group， model group， Tianma Goutengyin high-， medium-， and low-dose groups （5.13， 10.26， and 20.52 g·kg^-1）， and a nimodipine group （8.1 mg·kg^-1）. The vascular dementia model was established by permanent bilateral common carotid artery occlusion， followed by 4 weeks of intervention. Learning and memory ability were evaluated using the novel object recognition test， and behavioral performance was assessed using the forced swimming test. Levels of interleukin-6 （IL-6） and C-C motif chemokine ligand 2 （CCL2） in hippocampal tissue were measured by enzyme-linked immunosorbent assay （ELISA）. Hippocampal neuronal morphology was observed by Nissl staining， and apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL）. Immunohistochemistry was used to detect positive expression of brain-derived neurotrophic factor （BDNF）， glial fibrillary acidic protein （GFAP）， and myelin basic protein （MBP）. Western blot analysis was performed to measure the protein expression levels of TNF-α， TNF receptor 1 （TNFR1）， phosphorylated STAT3 （p-STAT3）， α1ACT， IL-6， complement component 3 （C3）， BDNF， S100 calcium-binding protein A10 （S100A10）， and GFAP in hippocampal tissue. ResultsCompared with the sham-operated group， the model group showed a significantly reduced relative recognition index in the novel object recognition test （P<0.01）， prolonged immobility time and increased immobility frequency in the forced swimming test （P<0.01）. Hippocampal IL-6 and CCL2 levels were significantly increased （P<0.01）. Nissl staining revealed a marked reduction in neuronal number and loss of Nissl bodies （P<0.01）. MBP-positive expression was significantly decreased （P<0.01）， apoptosis was significantly increased （P<0.01）， BDNF-positive expression was significantly reduced （P<0.05）， and GFAP-positive expression was significantly increased （P<0.01）. In addition， the protein expression levels of TNF-α， TNFR1， p-STAT3， α1ACT， IL-6， and C3 were significantly elevated （P<0.01）， while BDNF and S100A10 expression levels were significantly decreased （P<0.01）. Compared with the model group， all Tianma Gouteng yin dose groups exhibited a significant increase in the relative recognition index （P<0.05）， shortened immobility time and reduced immobility frequency （P<0.05， P<0.01）. IL-6 and CCL2 levels were significantly decreased （P<0.01）， neuronal number was significantly increased （P<0.05， P<0.01）， and MBP-positive expression was significantly enhanced （P<0.01）. Apoptosis was significantly reduced （P<0.01）， BDNF-positive expression was significantly increased （P<0.05）， and GFAP-positive expression was significantly decreased （P<0.01）. Moreover， the protein expression levels of TNF-α， TNFR1， p-STAT3， α1ACT， IL-6， and C3 were significantly decreased （P<0.01）， while BDNF and S100A10 protein expression levels were significantly increased （P<0.01）. ConclusionTianma Goutengyin may inhibit A1-type astrocyte activation in rats with vascular dementia through the TNF-α/STAT3/α1ACT signaling pathway， thereby reducing neuronal apoptosis and improving learning and memory function.

Dry eye （DE） is a prevalent multifactorial disease of the ocular surface， clinically characterized by tear film homeostasis imbalance accompanied by related ocular surface symptoms. Specifically， the tear film is a thin liquid layer of tears covering the cornea and conjunctiva through blinking， while tear film homeostasis serves as the foundation for maintaining normal ocular surface structure and function. Insufficient tear secretion and excessive tear film evaporation lead to tear hyperosmolarity and the production of inflammatory mediators， disrupting tear film homeostasis and subsequently forming DE. Additionally， cascade reactions are triggered， resulting in a "vicious cycle of DE" that exacerbates the disease severity and prolongs its duration. Therefore， for DE treatment， it is crucial to restore tear film homeostasis and terminate this vicious cycle. Traditional Chinese medicine （TCM）， which differentiates and treats DE based on systemic conditions， often achieves favorable therapeutic outcomes， offering additional treatment options for DE. Studies have demonstrated that TCM can alleviate DE by regulating tear film homeostasis and terminating the vicious cycle. This review systematically summarizes recent basic experimental research in China and abroad on TCM in alleviating DE by regulating tear film homeostasis， aiming to provide a theoretical basis for clinical treatment and an insight for research design.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Objective To longitudinally investigate the characteristics of postoperative weight changes in patients with esophageal cancer and analyze its influencing factors, which can provide certain guidance for nutritional intervention in patients with esophageal cancer. Methods Patients with esophageal cancer who underwent surgical treatment at the Sichuan Cancer Hospital from December 2020 to February 2022 were prospectively included. The general information questionnaire and body composition analyzer were used to longitudinally investigate the patients’ weight and body composition before surgery (T0), 1 month after surgery (T1), 3 months after surgery (T2) and 6 months after surgery (T3), and the change characteristics were analyzed. The generalized estimating equation was used to analyze the influencing factors for postoperative weight changes in patients with esophageal cancer. Results A total of 130 patients were enrolled, including 110 males and 20 females, aged 42-79 (63.33±8.16) years. The weight and body composition of patients with esophageal cancer showed a continuous slow downward trend within 6 months after surgery. The weight loss rate of patients at 1, 3, and 6 months after surgery was 5.10%, 7.76%, and 9.86%, respectively. The analysis results of the influencing factors for postoperative weight showed that patients with the following characteristics had more weight loss: female (β=−7.703, P=0.001), ≥60 years (β=−3.657, P=0.010), smoking (β=4.622, P=0.010), low tumor differentiation degree (β=4.314, P=0.039), and high frequency of eating (β=−3.400, P=0.008). Conclusion Weight loss is an important health problem for patients with esophageal cancer after surgery, and patients have a continuous downward trend in weight within 6 months after surgery. Medical staff should pay special attention to the patients who are female, ≥60 years, having smoking history and low tumor differentiation degree.

Objective To explore whether there is a causal relationship between intestinal flora and esophageal cancer. Methods Summary statistics of intestinal flora and esophageal cancer were obtained from the Genome-wide Association Studies (GWAS) database. Five methods, including inverse variance weighted (IVW), weighted median estimation, Mendelian randomization (MR)-Egger regression, single mode, and weighted mode, were used for analysis, with IVW as the main analysis method. Sensitivity analysis was used to evaluate the reliability of MR results. Results In the IVW method, Oxalobacteraceae [OR=1.001, 95%CI (1.000, 1.002), P=0.023], Faecalibacterium [OR=1.001, 95%CI (1.000, 1.002), P=0.028], Senegalimassilia [OR=1.002, 95%CI (1.000, 1.003), P=0.006] and Veillonella [OR=1.001, 95%CI (1.000, 1.002), P=0.018] were positively correlated with esophageal cancer, while Burkholderiales [OR=0.999, 95%CI (0.998, 1.000), P=0.002], Eubacterium oxidoreducens [OR=0.998, 95%CI (0.997, 0.999), P=0.038], Romboutsia [OR=0.999, 95%CI (0.998, 1.000), P=0.048] and Turicibacter [OR=0.998, 95%CI (0.997, 0.999), P=0.013] were negatively correlated with esophageal cancer. Sensitivity analysis showed no evidence of heterogeneity, horizontal pleiotropy and reverse causality. Conclusion Oxalobacteraceae, Faecalibacterium, Senegalimassilia and Veillonella increase the risk of esophageal cancer, while Burkholderiales, Eubacterium oxidoreducens, Romboutsia and Turicibacter decrease the risk of esophageal cancer. Further studies are needed to explore how these bacteria affect the progression of esophageal cancer.

Objective: To revise and validate the reliability and validity of Chinese version of the Benevolent Childhood Experiences (BCEs) Scale among college students, so as to provide a scientific and reliable assessment tool for related research. Methods: From April to June 2025, a stratified cluster random sampling method was used to select 1 677 freshmen from a university in Xuzhou City as participants. The survey was conducted by using the revised Benevolent Childhood Experiences (BCEs) Scale, Childhood Trauma Questionnaire (CTQ) and Brief Suicidal Behavior Scale. Reliability analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), Spearman correlation analysis, and hierarchical linear regression analysis were employed to evaluate the scale s reliability, validity, and relationships among variables. Results: The mean scores of the 10 items on the BCEs Scale ranged from 3.97 to 4.46, with standard deviations ranging from 0.88 to 1.07. The Cronbach α coefficient was 0.96. Exploratory factor analysis extracted a single factor, explaining 71.21% of the total variance. Confirmatory factor analysis indicated good model fit ( χ 2/df =4.81, goodness of fit index=0.99, comparative fit index=0.99, normed fit index=0.99, root mean square error of approximation=0.05, standardized root mean square residual=0.01). BCEs total scores were negatively correlated with CTQ total scores and all its dimensions among college students ( r =-0.53 to -0.13, all P < 0.01). Hierarchical regression analysis showed that BCEs moderated the effect of CTQ on suicidal behavior, with a statistically significant interaction ( β=-0.11, t=-4.01, P <0.01). Conclusion The Chinese revised version of the BCEs Scale demonstrates good reliability and validity, and it is suitable for assessing BCEs among Chinese college students.

ObjectiveThis paper aims to investigate the effects of Xixintang on aquaporin-4 （AQP4） polarity distribution， blood-brain barrier （BBB） function， and neuroinflammationin rats with Alzheimer's disease （AD）， thereby revealing the potential mechanism through which this formula protects the BBB by regulating AQP4 polarization. The aim is to provide a scientific basis for clinical treatment. MethodsSixty Sprague-Dawley （SD） rats were randomly divided into a normal group， a model group， a probiotic group， a donepezil group， and an Xixintang group. The model was established by intraperitoneal injection of D-galactose （D-Gal） combined with bilateral intracerebroventricular injection of amyloid-β_25-35 （Aβ_25-35）. The probiotic group （30.85 mg·kg^-1）， donepezil group （0.88 mg·kg^-1）， and Xixintang group （1.174 g·kg^-1） received daily gavage administration， while the normal and model groups received intragastric administration with an equal volume of normal saline for one month. Cognitive ability was assessed by using the Morris water maze. BBB permeability was detected via Evans blue extravasation. The contents of interleukin-6 （IL-6）， amyloid-β_1-42 （Aβ_1-42）， and tumor necrosis factor-α （TNF-α） in the hippocampal tissues were measured by enzyme-linked immunosorbent assay （ELISA）. The protein expressions of zonula occludens-1 （ZO-1）， occludin， tissue inhibitor of metalloproteinase-1 （TIMP-1）， matrix metalloproteinase-9 （MMP-9）， and AQP4 in the hippocampal tissues were detected by western blot. The expression and co-localization levels of Aβ_1-42， ionized calcium-binding adapter molecule 1 （IBA1）， and AQP4/platelet endothelial cell adhesion molecule 31 （CD31） in the hippocampal region were examined by immunofluorescence. ResultsCompared with the normal group， the model group exhibited a significant decline in cognitive ability （P<0.01） and a marked increase in Evans blue extravasation in the brain （P<0.01）. The expressions of ZO-1， occludin， and TIMP-1 were significantly decreased （P<0.01）， while the expressions of AQP4 and MMP-9 were significantly increased （P<0.01）. The co-localization level of AQP4/CD31 was significantly reduced （P<0.01）， and the expressions of Aβ_1-42， IL-6， TNF-α， and IBA1 were significantly elevated （P<0.01）. Compared with the model group， the Xixintang group showed significant improvement in cognitive ability （P<0.01） and a significant reduction in Evans blue extravasation in the brain （P<0.01）. The expressions of occludin， TIMP-1， and ZO-1 were significantly increased （P<0.05， P<0.01）， while the expressions of AQP4 and MMP-9 were significantly decreased （P<0.05）. The co-localization level of AQP4/CD31 was significantly enhanced （P<0.01）， and the expressions of Aβ_1-42， IL-6， TNF-α， and IBA1 were significantly reduced （P<0.05， P<0.01）. ConclusionXixintang may improve cognitive function and alleviate AD pathology in AD model rats by regulating AQP4 polarity distribution， thereby breaking the vicious cycle of "Aβ deposition-neuroinflammation-BBB damage" and restoring the homeostasis of the microenvironment in the brain.

Background Public places are important areas for daily human activities. Frequent contact with public items promotes their role as vehicles for microbial spread, creating a substantial risk for the transmission of pathogenic microorganisms. Objective To understand the hygiene status and influencing factors of public items in typical public places in Shanghai from 2010 to 2024, and to provide a scientific basis for optimizing the hygiene management of public items. Methods Based on the monitoring data of public items in public places in Shanghai from 2010 to 2024, the hygiene status was evaluated in three stages: 2010–2019, 2020–2022, and 2023–2024. Chi-square test and logistic regression were used to analyze the impact of factors such as monitoring stages, public place types, and public item categories on the hygiene status. Results The public items in 13807 public places were monitored. A total of 1 022 bed sheets and 9 271 towels were tested for pH value, with qualified rates of 77.66% and 87.81%, respectively. The OR (95%CI) for the pH compliance of towels relative to bed sheets was 1.77 (1.45, 2.15). Compared with bathing places, the ORs for pH compliance of towels in hair salons and beauty salons were 2.24 (1.75, 2.87) and 2.15 (1.57, 2.95), respectively. Additionally, a total of 221 650 samples from various public items were tested for microorganisms, yielding 215554 qualified samples, with an average qualified rate of 97.25%. The qualified rates for total bacterial count, total fungal count, coliforms, and Staphylococcus aureus were 92.66%, 94.63%, 98.85%, and 99.84%, respectively. The logistic regression analysis showed that, compared to the 2016–2019 baseline, no statistically significant differences were observed in the qualified rates of total fungal count across different stages; however, significantly higher qualified rates for total bacterial count, total fungal count, coliforms, and Staphylococcus aureus were recorded during 2020–2022, with ORs (95%CI) of 1.27 (1.16, 1.38), 23.20 (8.42, 63.94), and 12.08 (1.63, 89.92), respectively. Conclusion The pH compliance ranks among the top tier nationwide for cotton textile goods in Shanghai, suggesting minimal detergent retention. Furthermore, continuous improvement in cleaning and disinfection measurements has markedly enhanced the microbial hygiene of public items in public places.