Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Objective: To address systemic challenges in the blood system, such as supply-demand imbalance, inefficient allocation, and inappropriate clinical use, while bridging gaps in current theories regarding the integration of social mobilization, institutional practice, and policy coordination. It sought to construct a system dynamics model spanning from macro to micro levels to analyze the blood management system holistically. Methods: Key variables were identified by a systematic literature search in both Chinese and English databases. An improved Delphi method was then employed to conduct expert consultations across different fields, leading to the selection and determination of core variable sets for each sub-model. Furthermore, by defining their logical relationships, a system dynamics model was constructed to systematically analyze the operation mechanism of the blood management system. Results: Four core sub-models were developed: 1) A macro "Dynamic Balance" model quantifying regional supply-demand equilibrium and inventory control; 2) a mobilization "Three-Layer Funnel" model analyzing how socio-cultural factors, service channels, and policy incentives influence donation behavior; 3) an institutional "Dual-Cycle Regulation" model revealing hospital blood usage is driven by both disease burden (demand cycle) and management practices (regulation cycle); and 4) an individual "Three-Layer Filter" model standardizing clinical transfusion decisions based on necessity, risk-benefit, and context. These were integrated into a "Multi-Layer Linkage and Feedback" model, elucidating bidirectional interactions among five levels: policy environment, regional supply, blood station mobilization, hospital application, and clinical decision-making. Conclusion: This study constructed a system dynamics model for blood management. By defining key variables and their logical relationships, it systematically analyzes the system′s operational mechanism. The integrated framework connects multiple levels—regional supply, voluntary donation, hospital blood use, and clinical decision-making—revealing their intrinsic linkages. Future efforts should employ systems thinking to synergistically enhance supply-side mobilization, demand-side management, systemic regulation, and decision standardization to build a safe, efficient, and sustainable blood security system.

Gastric ulcer （GU） is a high-incidence digestive system disease characterized pathologically by disruption of gastric mucosal integrity， with clinical features including a prolonged course and periodic recurrence. Modern medicine attributes its pathogenesis to the dynamic imbalance between aggressive and defensive factors，while traditional Chinese medicine （TCM） posits its development as closely linked to spleen deficiency. Current therapies combining acid suppressants and antibiotics face challenges such as high recurrence rates，poor mucosal healing，and adverse drug reactions. Long-term use may induce metabolic disturbances like hypergastrinemia and reduced intestinal microbiota diversity. Therefore，exploring safer and longer-lasting therapeutic strategies has become a critical focus. TCM has extensive clinical experience and unique advantages in GU prevention and treatment. Studies demonstrate that the classic formula Shenling Baizhu San exhibits therapeutic properties of "invigorating spleen and tonifying Qi to restore physiological balance and eliminating dampness and regulating middle energizer to unblock Qi movement"， enabling a holistic approach targeting both symptoms and root causes in GU with spleen deficiency as the core pathology by suppressing aggressive factors and strengthening defensive factors. Experimental research reveals its mechanisms involve enhancing the physicochemical barrier of the mucus layer，repairing epithelial barriers and microcirculation，modulating gastric acid secretion and gastrointestinal motility，and regulating microecological barriers and mucosal immunity. Clinical evidence confirms its synergistic effects in promoting ulcer healing，improving Helicobacter pylori eradication rates，and reducing recurrence risks. This review examined the etiology and pathogenesis of GU and systematically evaluated Shenling Baizhu San from three perspectives-clinical application，pharmacological effects， and experimental research-to provide insights for optimizing integrated traditional Chinese and Western medicine protocols and expanding its clinical applications.

ObjectiveTo investigate the therapeutic effect of wall-broken ganoderma lucidum spore powder （GLS） on a mouse model of hepatocellular carcinoma and to explore its underlying mechanism. MethodsFifty 2-week-old C57BL/6J mice were divided into a control group， a model group and low， medium and high-dose GLS groups（0.25， 0.5， 1.0 g/kg ）， with 10 mice in each group. A DEN/CCL₄ mouse hepatocellular carcinoma model was established， and GLS was administered by gavage starting from the 8th week， once a day for 14 weeks. At the end of the final administration， the number of liver nodules was observed ， and the serum alpha-fetoprotein （AFP） was detected using enzyme-linked immunosorbent assay. The content of catalase （CAT） in serum and liver tissue was determined by ammonium molybdate method. The content of reduced glutathione （GSH） in serum and liver tissue was measured by microplate assay. The content of glutathione peroxidase （GSH-PX） in serum and liver tissue was detected by colorimetric method. Immunohistochemistry （IHC-P） was employed to detect the protein expression of proliferating cell nuclear antigen （PCNA）. R eal-time fluorescence quantitative polymerase chain reaction was utilized to detect the relative expression of nuclear factor E2-related factor 2 （Nrf2）， Kelch-like epichlorohydrin-associated protein 1 （Keap1）， NAD（P）H quinone oxidoreductase 1 （Nqo1）， heme oxygenase-1 （Ho-1） and glutamate cysteine ligase catalytic subunit （Gclc） mRNA. ResultsCompared with the control group， the content of serum AFP were significantly higher in the model group （P<0.01）， while the contents of CAT， GSH and GSH-PX in liver and serum were significantly lower in the model group （P<0.01）. The relative expression of Keap1 and Nqo1 mRNA was significantly higher （P<0.01）， the relative expression of Nrf2， Ho-1， Gclc mRNA relative expression was significantly lower （P<0.01）， and the positive expression rate of PCNA was significantly higher （P<0.01）. Compared with the model group， the total number of liver nodules and content of serum AFP in the administered group were significantly lower （P<0.01）， and the contents of CAT， GSH， and GSH-PX in the liver and serum of mice significantly increased （P<0.05 or P<0.01）. The expression of Keap1 and Nqo1 mRNA significantly decreased （P<0.05）. The expression of Nrf2， Ho-1 and Gclc mRNA significantly increased （P<0.05）， and positive expression rate of PCNA significantly decreased （P<0.01）. ConclusionGLS has a significant protective effect on DEN/CCL4 -induced mouse hepatocellular carcinoma model， and the mechanism of action is related to the regulation of oxidative stress in mouse liver.

In recent years, remarkable advances have been made in lung transplantation regarding donor evaluation, perioperative support, and immune regulation, laying a foundation for improving the long-term survival of recipients. The rational application of extended criteria donor lungs and the popularization of ex vivo lung perfusion technology have enhanced the utilization efficiency and safety of marginal donor lungs. Refined assessment of risk factors such as donors’ smoking history and infectious status has reduced the incidence of primary graft dysfunction and postoperative infection. In terms of recipient management, individualized assessment systems have been gradually optimized. The standardized application of intraoperative extracorporeal membrane oxygenation and the development of minimally invasive surgical techniques have effectively alleviated perioperative injuries. The optimization of postoperative immunosuppressive regimens and advances in rejection monitoring technologies have further improved the long-term survival of grafts. Nevertheless, chronic graft dysfunction and recurrent or refractory infections remain the major bottlenecks restricting long-term prognosis. Future research should focus on expanding donor sources, improving the repair quality of marginal donor lungs, promoting precise immunosuppression and anti-infection strategies, and comprehensively enhancing the long-term survival rate and quality of life of lung transplant recipients.

To evaluate patient satisfaction levels in a gynecological teaching clinic and to explore its associated influencing factors, so as to provide evidence for optimizing the operational model of teaching clinics.

ObjectiveTo investigate the effects of Liuwei Dihuangwan on mammalian target of rapamycin （mTOR）-mediated synaptic plasticity in the prefrontal cortex-hippocampus circuit in the rat model of valproic acid （VPA）-induced autism spectrum disorder （ASD） and to explore its potential mechanism for reducing behavioral abnormalities in ASD rats. MethodsThirteen SD pregnant rats were randomized into the VPA group （10 rats） and the control group （3 rats）. On gestational day 13， the VPA group was intraperitoneally injected with VPA solution （600 mg·kg^-1）， while the control group was injected with an equal volume of normal saline. Male pups of 21 days old from both groups underwent behavioral tests to screen the ASD model rats （32 rats）. These rats were then randomly assigned to the model （distilled water）， vitamin D （1 480 U·kg^-1）， low-dose （0.75 g·kg^-1） Liuwei Dihuangwan， and high-dose （1.5 g·kg^-1） Liuwei Dihuangwan groups， and normal male pups were selected as the blank group （distilled water）， with 8 rats in each group. Each group was treated with the corresponding drug or an equal volume of distilled water via gavage daily. After drug administration， behavioral tests were conducted again， followed by anesthesia and tissue collection. Nissl staining was carried out to observe the morphological changes of neurons in the prefrontal cortex and hippocampus. Transmission electron microscopy was used to observe changes in hippocampal synaptic structure. Immunohistochemistry and Western blot were employed to determine the expression of mTOR， phosphatidylinositol 3-kinase （PI3K）， and protein kinase B （Akt） in the prefrontal cortex， as well as synaptophysin-1 （SYP-1）， postsynaptic density 95 （PSD95）， and N-methyl-D-aspartate receptors （NMDARs） in the hippocampus. ResultsCompared with the control group， the model group exhibited severe growth retardation and developmental deformities， with abnormal behavioral performance and pathological damage to neurons and synapses in the prefrontal cortex and hippocampus. Compared with the model group， all treatment groups showed reduced behavioral abnormalities and pathological damage to neurons and synapses in the prefrontal cortex and hippocampus， with the most significant effects in the high-dose Liuwei Dihuangwan group. Immunohistochemistry and Western blotting results showed that compared with the control group， the model group exhibited significantly increased protein levels and phosphorylation ratios of p-mTOR， p-Akt， and p-PI3K in the prefrontal cortex （P<0.05， P<0.01）， and decreased protein levels of SYP-1 and PSD95 and increased protein level of NMDARs in the hippocampus （P<0.01）. Compared with those in the model group， the protein levels of p-mTOR， p-Akt， and p-PI3K in the prefrontal cortex decreased in the vitamin D and high-dose Liuwei Dihuangwan groups （P<0.05）， and the p-mTOR/mTOR， p-Akt/Akt， and p-PI3K/PI3K ratios in the prefrontal cortex declined in the vitamin D group （P<0.05）. The high-dose Liuwei Dihuangwan group showed a reduction in p-PI3K/PI3K ratio （P<0.05）. The protein level of SYP-1 and PSD95 in the hippocampus increased in the vitamin D， low-dose Liuwei Dihuangwan， and high-dose Liuwei Dihuangwan groups （P<0.05， P<0.01）， while the protein level of NMDARs decreased in the vitamin D and high-dose Liuwei Dihuangwan groups （P<0.01）. ConclusionLiuwei Dihuangwan significantly reduces VPA-induced ASD-like behaviors and enhances the regeneration and repair of neurons in the prefrontal cortex and synaptic structures in the hippocampus by downregulating of PI3K/Akt/mTOR expression in the prefrontal cortex， upregulating SYP-1 and PSD95 expression in the hippocampus， and inhibiting NMDARs expression.

Intelligence encompasses various abilities, including logical reasoning, comprehension, self-awareness, learning, planning, creativity, and problem-solving. Extensive research and practical experience suggest that there are sex differences in intellectual development, with females typically maturing earlier than males. However, the key genes and molecular network mechanisms underlying these sex differences in intellectual development remain unclear. To date, Genome-Wide Association Studies (GWAS) have identified 507 genes that are significantly associated with intelligence. This study first analyzed RNA sequencing data from different stages of brain development (from BrainSpan), revealing that during the late embryonic stage, the average expression levels of intelligence-related genes are higher in males than in females, while the opposite is observed during puberty. This study further constructed interaction networks of intelligence-related genes with sex-differential expression in the brain, including the prenatal male network (HELP-M: intelligence genes with higher expression levels in prenatal males) and the pubertal female network (HELP-F: intelligence genes with higher expression levels in pubertal females). The findings indicate that the key genes in both networks are Ep300 and Ctnnb1. Specifically, Ep300 regulates the transcription of 53 genes in both HELP-M and HELP-F, while Ctnnb1 regulates the transcription of 45 genes. Ctnnb1 plays a more prominent role in HELP-M, while Ep300 is more crucial in HELP-F. Finally, this study conducted sequencing validation on rats at different developmental stages, and the results indicated that in the prefrontal cortex of female rats during adolescence, the expression levels of the intelligence genes in HELP-F, as well as key genes Ep300 and Ctnnb1, were higher than those in male rats. These genes were also involved in neurodevelopment-related biological processes. The findings reveal a sex-differentiated intelligence gene network and its key genes, which exhibit varying expression levels during the neurodevelopmental process.
Female ; Intelligence/physiology* ; Male ; Sex Characteristics ; Animals ; Brain/growth & development* ; E1A-Associated p300 Protein/physiology* ; beta Catenin/physiology* ; Transcriptome ; Rats ; Gene Expression Profiling ; Genome-Wide Association Study

The molecular mechanism of verbascoside(OC1) in promoting acetylcholine(ACh) release in the pathogenesis of Alzheimer's disease(AD) was studied. Adrenal pheochromocytoma cells(PC12) of rats induced by β-amyloid protein(1-42)(Aβ_(1-42)) were used as AD models in vitro and were divided into control group, model group(Aβ_(1-42) 10 μmol·L~(-1)), OC1 treatment group(2 and 10 μg·mL~(-1)). The effect of OC1 on phosphorylated proteins in AD models was analyzed by whole protein phosphorylation quantitative omics, and the selectivity of OC1 for calcium channel subtypes was virtually screened in combination with computer-aided drug design. The fluorescence probe Fluo-3/AM was used to detect Ca~(2+) concentration in cells. Western blot analysis was performed to detect the effects of OC1 on the expression of phosphorylated calmodulin-dependent protein kinase Ⅱ(p-CaMKⅡ, Thr286) and synaptic vesicle-related proteins, and UPLC/Q Exactive MS was used to detect the effects of OC1 on ACh release in AD models. The effects of OC1 on acetylcholine esterase(AChE) activity in AD models were detected. The results showed that the differentially modified proteins in the model group and the OC1 treatment group were related to calcium channel activation at three levels: GO classification, KEGG pathway, and protein domain. The results of molecular docking revealed the dominant role of L-type calcium channels. Fluo-3/AM fluorescence intensity decreased under the presence of Ca~(2+) chelating agent ethylene glycol tetraacetic acid(EGTA), L-type calcium channel blocker verapamil, and N-type calcium channel blocker conotoxin, and the effect of verapamil was stronger than that of conotoxin. This confirmed that OC1 promoted extracellular Ca~(2+) influx mainly through its interaction with L-type calcium channel protein. In addition, proteomic analysis and Western blot results showed that the expression of p-CaMKⅡ and downstream vesicle-related proteins was up-regulated after OC1 treatment, indicating that OC1 acted on vesicle-related proteins by activating CaMKⅡ and participated in synaptic remodeling and transmitter release, thus affecting learning and memory. OC1 also decreased the activity of AChE and prolonged the action time of ACh in synaptic gaps.
Animals ; Rats ; Glucosides/administration & dosage* ; Acetylcholine/metabolism* ; Alzheimer Disease/genetics* ; PC12 Cells ; Phenols/chemistry* ; Neurotransmitter Agents/metabolism* ; Drugs, Chinese Herbal ; Calcium-Calmodulin-Dependent Protein Kinase Type 2/genetics* ; Humans ; Phosphorylation/drug effects* ; Calcium/metabolism* ; Polyphenols