ObjectiveTo investigate the migration and distribution characteristics of chemical constituents in blood and hippocampal tissues before and after vinegar processing of Citri Reticulatae Pericarpium Viride（CRPV）， and to explore the potential material basis and mechanisms underlying their regulatory effects on emotional disorders by comparing the effects of raw and vinegar-processed products of CRPV. MethodsUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） was employed to characterize and identify the chemical constituents of raw and vinegar-processed products of CRPV extracts， as well as their migrating components in blood and hippocampal tissues after oral administration. Reference standards， databases， and relevant literature were utilized for compound annotation， with data processing performed using PeakView 1.2 software. Seventy male C57BL/6 mice were randomly divided into seven groups， including the blank group， model group， diazepam group（2.5 mg·kg^-1）， raw CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， and vinegar-processed CRPV low/high dose groups（0.6， 1.2 g·kg^-1）， with 10 mice per group. Except for the blank group， all other groups underwent chronic restraint stress（2 h·d^-1） for 20 d. Each drug-treated group received oral administration at the predetermined dose starting 10 d after modeling， with a total treatment duration of 10 d. Following model-based drug administration， mice underwent open-field， forced swimming， and elevated plus maze tests. After anesthesia with isoflurane， whole brains were collected from each group of mice， and hippocampi were dissected. Reactive oxygen species（ROS） level in hippocampal tissues was quantified by enzyme-linked immunosorbent assay（ELISA）. Hematoxylin-eosin（HE） staining was used to observe hippocampal tissue morphology. Immunofluorescence was performed to detect neuronal nuclei（NeuN） and peroxisome proliferator-activated receptor alpha（PPARα） expressions in hippocampal tissue. Then， pharmacodynamic evaluations were conducted to assess the effects of raw and vinegar-processed CRPV on mood disorders， exploring the potential mechanisms. ResultsVinegar processing caused significant changes in the chemical composition of CRPV， with 18 components showing increased relative content and 35 components showing decreased relative content. The primary changes occurred in flavonoid compounds， including 20 flavonoids， 20 flavonoid glycosides， 3 triterpenes， 3 phenolic acids， 1 alkaloid， and 6 other compounds. Twenty-one components were detected in blood（15 methoxyflavones， 4 flavonoid glycosides， and 2 phenolic acids）， with 17 shared between raw and vinegar-processed CRPV. Seven components reached hippocampal tissues（all common to both forms）. In regulating emotional disorders， Vinegar-processed CRPV exhibited superior antidepressant-like effects compared to raw products. HE staining revealed that both treatments improved hippocampal neuronal morphology， particularly in the damaged CA1 and CA3 regions. Immunofluorescence and ELISA analyses demonstrated that both raw and vinegar-processed CRPV significantly modulated NeuN and PPARα expressions in hippocampal tissue while alleviating oxidative stress induced by excessive ROS（P<0.05）. ConclusionThe chemical composition of CRPV undergoes changes after vinegar processing， but the migrating components in blood and hippocampus are primarily methoxyflavonoids. These components may serve as the potential material basis for activating the PPARα pathway， thereby negatively regulating ROS generation in the hippocampus， reducing oxidative stress， and promoting the development of NeuN-positive neurons. These findings provide experimental evidence for enhancing quality standards， pharmacodynamic material research， and active drug development of raw and vinegar-processed CRPV.

Objective To explore the relationship between ambulatory blood pressure changes and health-related behaviors as well as sleep quality in hypertensive patients. Methods A retrospective study was conducted on 684 patients who underwent 24-hour ambulatory blood pressure monitoring at Chengdu Fifth People's Hospital between January 2023 and April 2025. The cohort included 502 hypertensive patients and 182 non-hypertensive patients. Clinical data from both groups of patients were collected. Their health-related behaviors and sleep quality were investigated. Pearson correlation analysis was conducted to explore the relationship between ambulatory blood pressure changes and health-related behaviors as well as sleep quality in hypertensive patients. Results The differences in dSBP, dDBP, nSBP, nDBP, 24-hour SBP, 24-hour DBP, 24-hour SBP CV, and 24-hour DBP CV levels between the two groups were statistically significant (P<0.05). The scores of the Active Health Behavior Scale (AHBS) in the hypertension group were lower than those in the non-hypertension group, while the scores of the Pittsburgh Sleep Quality Index (PSQI) in the hypertension group were higher than those in the non-hypertension group (P<0.05). AHBS showed a negative correlation with dSBP, dDBP, nSBP, nDBP, 24 h SBP, 24 h DBP, 24 h SBP CV, and 24 h DBP CV (P<0.05), while PSQI showed a positive correlation with dSBP, dDBP, nSBP, nDBP, 24 h SBP, 24 h DBP, 24 h SBP CV, and 24 h DBP CV (P<0.05). Conclusion Health-related behaviors and sleep quality can influence ambulatory blood pressure through various mechanisms, including neural, endocrine, and vascular functions.

At present， the systematic excavation of the clinical experience and academic thought of the Sichuan school of Chinese medicine vis-à-vis its dominant disease entities remains fragmentary， and replicable paradigms are scarce. Confronted with empirical fragmentation， data heterogeneity and decision-making subjectivity， the standardised distillation， inheritance and clinical translation of these distinctive experiences has become a critical bottleneck constraining the development of the Sichuan school. The integration of artificial-intelligence technologies in data processing， pattern recognition and intelligent decision-making has rendered deep mining of traditional Chinese medicine（TCM） clinical knowledge and patterns imperative. Constructing an intelligent modern TCM diagnostic-therapeutic-evaluative system is now the obligatory route for inheritance and innovation in Chinese medicine， and simultaneously provides a technological breakthrough for intelligent decision paradigms in the dominant diseases of the Sichuan school. Accordingly， this study adopts the regional academic school as its point of entry， focuses on the dominant diseases of the Sichuan school， and proposes an innovative pathway of "four-dimensional data-multi-modal fusion-multi-agent decision-making". Specifically， four data dimensions are defined and instantiated： （Ⅰ） knowledge from classical medical literature and historical case records. （Ⅱ） objective four-diagnosis phenotypic data. （Ⅲ） master physicians' prescribing regularities. （Ⅳ） characteristic mechanisms of renowned formulae. Leveraging multi-modal data fusion and generative artificial intelligence， the entire causal chain of Famous Physicians and Renowned Formulas is explicated to reconstruct the diagnostic-therapeutic cognitive logic of the regional school. Finally， a multi-agent collective-decision model is established and refined for the dominant diseases of the Sichuan school， capable of generating precise， individualised treatment regimens and thereby advancing an intelligent diagnostic-therapeutic paradigm that delivers more efficient and accurate clinical decision support.

Objective:To explore the application value of problem-based learning (PBL) combined with mini-clinical evaluation exercise (Mini-CEX) in the development of post competency for interns in the Department of Neurology.Methods:A total of 56 interns rotating at the Department of Neurology of The First Affiliated Hospital of Chongqing Medical University from June 2023 to January 2024 were enrolled as the study subjects. They were randomly divided into a control group and an experiment group using the random number table method, with 28 interns in each group. The control group received traditional methods including small lectures and teaching rounds, while the experimental group received the PBL teaching method combined with Mini-CEX. The teaching effectiveness was evaluated through theoretical assessments, practical skill evaluations, teacher and student satisfaction surveys, and Mini-CEX scale assessments conducted at the beginning, middle, and end of the rotation for the experimental group. The data were analyzed using SPSS 23.0 software. For continuous data, the independent-samples t test or Mann-Whitney U test was used for comparison between groups. The chi-square test was used for categorical data and the Kruskal-Wallis H test for repeated-measurement data. Results:The theoretical scores [(45.36±2.67) vs. (42.00±4.29), P<0.01] and practical skill scores [(45.11±2.53) vs. (42.39±4.53), P<0.01] were significantly higher in the experimental group compared to the control group. The Mini-CEX score of the experimental group at the end of the rotation was notably higher than that at the beginning of rotation ( P<0.05), and their abilities improved continuously. The satisfaction rates of teachers and students in the experimental group were 71.43% (20/28) and 67.86% (19/28), respectively, which were significantly higher than those in the control group [39.29% (11/28) and 35.71% (10/28), P<0.05]. Conclusions:The teaching model integrating PBL and Mini-CEX can effectively enhance the post competency of interns in the Department of Neurology, thus offering a new perspective for clinical undergraduate teaching.

Objective To develop a tumor vaccine containing broad-spectrum neoantigen tumor cell lysate(TCL)and CpG adjuvant,and to effectively deliver it to lymph node dendritic cells.Methods A novel polymer,9-fluorenylmethoxycarbonyl-polyethylene glycol-glycocholic acid(Fmoc-PEG-GCA),was employed to encapsulate the TCL and CpG through π-π stacking,resulting in high-density polyethylene glycol-modified glycocholic acid-decorated micelles TCL/CpG@GNP.The vaccine′s drug loading,encapsulation efficiency,particle size,polydispersity index(PDI),zeta potential,morphology,stability,cellular safety,uptake capability,immune stimulation effects on bone marrow-derived dendritic cells(BMDCs)and in vivo anti-tumor efficacy were evaluated.Results The vaccine TCL and CpG demonstrated a drug loading capacity of 6.26%and the encapsulation rate was 37.59%.The drug loading capacity of CpG was 7.05%,and the encapsulation efficiency was 56.86%.The particle size measured(139.26±27.23)nm,with a PDI of 0.249±0.015,indicating favorable dispersion properties.The zeta potential was recorded at(-21.23±0.36)mV.The TCL/CpG@GNP vaccine demonstrated good stability,cell safety and uptake ability,and can promote the activation and maturation of BMDCs.In tumor-bearing mouse models,TCL/CpG@GNP inhibited tumor growth,increased the proportion of T lymphocytes in peripheral blood,and elevated IFN-γ levels in spleen.Conclusion The TCL/CpG@GNP tumor vaccine can effectively activate BMDCs and induce strong anti-tumor immune memory in a mouse lung cancer model.

Objective:To design a vest-type breast dressing bra and explore its application effect in the external application of traditional Chinese medicine therapy for patients with granulomatous lobular mastitis(GLM).Methods:A randomized controlled study was conducted, utilizing convenience sampling to select female patients with 122 GLM who underwent their first topical medication treatment in the Breast Department of Guangdong Provincial Hospital of Traditional Chinese Medicine between January and May 2023. The patients were divided into a control group and an observation group, with 61 patients in each, using a random number table. Following medication application, patients in the control group used a regular sports bra to secure the medication, while patients in the observation group used a custom-designed vest-style breast medication bra for the same purpose. Three hours after the intervention, comparisons were made between the two groups in terms of the incidence of medication detachment, medication displacement, clothing contamination, patient satisfaction, and safety.Results:Both groups of patients completed the study. The age of the observation group was (32.18 ± 5.50) years old, while the age of the control group was (33.66 ± 5.20) years old. Three hours after the intervention, the incidence of medication detachment, medication displacement, clothing contamination in the observation group were 3.28% (2/61), 6.56% (4/61), and 8.20% (5/61), which were lower than those in the control group with 18.03% (11/61), 26.23% (16/61), and 67.21% (41/61), respectively. The differences were statistically significant ( χ2=6.97, 8.61, 45.23; all P<0.05). The satisfaction level of patients towards the bra in the observation group was (4.43 ± 0.85) points, higher than that of the control group (3.85 ± 1.08) points, with a statistically significant difference ( t=3.30, P<0.05). The incidence rates of skin allergic reactions were 3.28%(2/61) and 4.92%(3/61) in the observation group and the control group, respectively, with no statistically significant difference ( P>0.05). Conclusions:The vest-type breast dressing bra designed in this study can properly secure the medicinal paste, reduce the rate of medication detachment, medication displacement, clothing contamination, and enhance patient satisfaction. It facilitates the external application of traditional Chinese medicine for patients with GLM and is worthy of clinical promotion.

Objective:To investigate the association between different sleep patterns and anxiety and depression in hemodialysis patients, thereby providing a reference for improving their psychological and sleep conditions.Methods:This study was a cross-sectional survey.A convenience sampling method was used to select patients undergoing regular dialysis at a hemodialysis centre in the Sixth People's Hospital of Huizhou from May 2023 to May 2024. Sleep quality, anxiety and depression symptoms were assessed using the Pittsburgh Sleep Quality Index (PSQI), Self-rating Anxiety Scale for (SAS) and Self-rating Depression Scale (SDS). Potential profiles were analyzed using Mplus 8.3 and mixed-effects Logistic regression was used to explore the association between sleep pattern category and anxiety-depression.Results:A total of 264 valid questionnaires were returned, of which 142 were males and 122 were females, aged (56.61 ± 12.69) years old. The sleep patterns of hemodialysis patients were divided into three potential categories:patients with overall better sleep quality31.4%(83/264), patients with poor sleep using hypnotic medication12.9%(34/264), and patients with poor sleep without hypnotic medication 55.7%(147/264). Significant differences were found in age, education, anxiety and depression across different sleep categories ( χ2 values were 9.75-25.72, all P<0.05). Compared with the group with overall better sleep quality, the risk of anxiety was higher in the group with sleep difficulties without hypnotic medication ( OR=5.409, P<0.05), and the risk of anxiety and depression ( OR=5.010, 6.488, both P<0.05) was higher in the group with sleep disorders using hypnotic medication. Compared with patients with poor sleep without hypnotic medication, patients with poor sleep using hypnotic medication had a higher risk of depression ( OR=6.501, P<0.05). Conclusions:There are three potential categories of sleep patterns in hemodialysis patients and significant correlations between them and anxiety and depression, and precise screening and individualized interventions need to be implemented in the clinic to improve patients' quality of life.

Immunohistochemistry(IHC)technique is one of the routine detection methods of pathology.At present,the fully automatic immunohistochemistry analyzer has been widely applied in many fields included biology,basic medicine and clinical pathology,which has been a valuable testing equipment of related pathological experiments in university.The use of this kind of equipment in experimental teaching for undergraduate can increased experimental efficiency,and reduce manual errors through standardized operations.At the same time,the possessed capability of this equipment for batch processing was suitable in teaching for class with large scale.This article explored the working principle,usage technique,daily maintenance and troubleshooting for the BOND Max fully automatic immunohistochemistry analyzer at Jilin University's National Biological Experimental Teaching Demonstration Center,and it also expounded its application in experimental teaching,which aim was to improve the efficiency of fully automatic immunohistochemistry analyzer.It can provide technical support for operator.

Objective To investigate the relationship between the threonine and tyrosine kinase(TTK)gene and eyelid basal cell carcinoma(BCC).Methods Bioinformatics methods were used to screen the core gene(namely,TTK)associated with the occurrence and development of BCC from the Gene Expression Omnibus(GEO)database.Surgically removed eyelid BCC tissue specimens(BCC cells were divided into BBC Grade Ⅰ,Ⅱ and Ⅲ groups by tumor grade)and be-nign tumor tissue specimens(Control group)were collected from Ziyang Central Hospital for subsequent experiments.Cel-lular immunofluorescence assay(CIA)was used to detect the expression of the TTK gene in benign and malignant eyelid tumor cells.After knocking down TTK in BCC cells through transfection with lentiviruses(the cells transfected with LV-TTK-shRNA were taken as the TTK-shRNA group,and those transfected with LV-BBC-shRNA were taken as the BBC nega-tive control group),CIA was used to detect the expression of key proteins Bcl-2 and Bax in the apoptotic signaling pathway of each group of cells.Results The bioinformatics analysis showed that the TTK gene was the core gene associated with the occurrence and development of eyelid BCC.CIA detection results revealed that the fluorescence signal intensities in the tumor cytoplasm of Control,BCC Grade Ⅰ,Ⅱ,and Ⅲ groups were 1.03±0.07,1.28±0.11,1.58±0.13 and 1.92±0.17,respectively.The fluorescence signal intensity gradually increased,and the difference in fluorescence signal intensity among the four groups was statistically significant(all P＜0.05).Compared with that in the Control group(1.02±0.05),the cell fluorescence intensity was increased in the BCC negative control group(1.74±0.12)and decreased in the TTK-shRNA group(1.31±0.09)(P＜0.05).The difference in cell fluorescence intensity was significant among the Control,BCC nega-tive control and TTK-shRNA groups(all P＜0.05).The fluorescence intensity of the anti-apoptotic protein Bcl-2 was 1.04±0.12 in the Control group,2.12±0.23 in the BCC negative control group,and 1.43±0.15 in the TTK-shRNA group.The fluorescence intensity of the pro-apoptotic protein Bax was 1.02±0.08 in the Control group,0.64±0.11 in the BCC negative control group,and 1.47±0.16 in the TTK-shRNA group.After TTK knockdown,the expression level of BcL-2 in BCC cells decreased,and that of Bax increased.The fluorescence intensities of BcL-2 and Bax were significantly different among the Control,BCC negative control and TTK-shRNA groups(all P＜0.05).Conclusion The TTK gene plays a role in the regulation of eyelid BCC cell proliferation,and this effect is closely related to the PI3K-AKT-Bcl-2/Bax signaling path-way.

Objective To observe the value of dynamic attention aggregation network(DAANet)for automatic segmentation of anomalous origin of the left coronary artery from the pulmonary artery(ALCAPA)in CT angiography(CTA).Methods CTA data in 30 patients with ALCAPA syndrome were retrospectively enrolled.ALCAPA were segmented in CTA with DAANet based on residual edge feature(REF),pyramid dynamic attention(PDA)and dynamic global feature aggregation(DGFA)modules.Taken physician manual segmentation results as references,the results were compared with those of other networks.Results Compared with other networks,DAANet had better value for automatic segmentation of ALCAPA in CTA,which could show the details of irregular margins of left coronary artery with good continuity and high clarity,and the performance parameters were overall better.Conclusion DAANet had better performance for automatic segmentation of ALCAPA in CTA.