ObjectiveTo construct a multifunctional liposomal delivery system by replacing cholesterol（Chol） in conventional liposomes with saikosaponin D（SSD） and modifying with poloxamer 407（P407） for co-delivery of curcumin（Cur）. The system was evaluated for in vivo tumor targeting and inhibitory effects on mouse subcutaneous solid tumors. MethodsSingle-factor and orthogonal tests combined with information entropy weighting were used to optimize the formulation process of the liposome with encapsulation efficiency and absolute Zeta potential as indexes， and validation studies and liposomal characterization were performed. A subcutaneous solid tumor model was established by injecting H22 hepatocellular carcinoma cells subcutaneously into the dorsal surface of the right forelimb of mice. DiR-loaded traditional Chol liposomes（P407-DiR-Chol-LPs， PDCL） and novel SSD-based liposomes（P407-DiR-SSD-LPs， PDSL） were prepared by the optimized formulation process， and tail vein injection was performed to investigate the impact of SSD on liposome tumor targeting with small animal in vivo imaging. Mice were randomly divided into eight groups， including blank group， model group， free doxorubicin（DOX） group（2 mg·kg^-1）， free Cur group（8 mg·kg^-1）， free SSD group（10 mg·kg^-1）， P407-Cur-Chol-LPs（PCCL） group， P407-SSD-LPs（PSL） group， and P407-Cur-SSD-Lps（PCSL） group. Treatments were administered intraperitoneally every other day for seven doses. Antitumor efficacy and biocompatibility were evaluated by monitoring body weight change， organ indices， tumor volume and mass， relative tumor proliferation rate（T/C）， and tumor growth inhibition rate（TGI）. Histopathological analysis of liver， kidney， and tumor tissues was performed using hematoxylin-eosin（HE） staining. Serum levels of aspartate aminotransferase（AST）， alanine aminotransferase （ALT）， blood urea nitrogen（BUN）， and creatinine（Crea）in mice were quantified by fully automated biochemical analyzer. ResultsOrthogonal test yielded optimal ratios of Cur， SSD， and P407 to soybean phosphatidylcholine（SPC） as 1∶25， 1∶20， and 1∶4. The optimized PCSL exhibited spherical morphology with a particle size of 179.15 nm， a Zeta potential of -47.25 mV， and an encapsulation efficiency of 96.40%. Its in vitro release profile conformed to first-order kinetics， demonstrating excellent storage stability and hemocompatibility. In vivo imaging revealed that the fluorescence signal in tumor tissues and the fluorescence intensity ratio between tumors and organs were significantly higher in the PDSL group than in the PDCL group（P<0.05， P<0.01）. Among the treatment groups， PCSL group showed superior efficacy over free Cur group， free SSD group， PCCL group， and PSL group， with TGI>40% and T/C<60%， indicating pronounced anti-hepatocellular carcinoma effects（P<0.05， P<0.01）. Histopathology and serum biochemistry indicated minimal hepatorenal toxicity and improved hepatic and renal function in PCSL-treated mice. ConclusionReplacing Chol with SSD in preparing multifunctional drug delivery systems not only stabilizes liposomes but also yields superior anti-hepatocellular carcinoma efficacy， achieving the effect of drug-excipient integration. Co-delivery of Cur via this system can be used for treating subcutaneous solid tumors in hepatocellular carcinoma， providing new insights and technical approaches for anti-hepatocellular carcinoma research and the meridian-guiding and messenger-directing theory in traditional Chinese medicine.

ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.

ObjectiveCleft palate (CP) is a common congenital deformity often associated with velopharyngeal insufficiency (VPI), which disrupts the physiological coupling between respiration and speech. Conventional clinical assessments, such as nasometry and spirometry, provide limited static data and fail to visualize the dynamic spatiotemporal distribution of lung ventilation during phonation. This study introduces spatiotemporal electrical impedance tomography (ST-EIT) to evaluate speech-respiratory functional features in CP patients compared to normal controls (NC). The aim is to characterize multi-domain respiratory patterns and to validate an interpretable machine learning framework for providing objective, quantitative evidence for clinical assessment. MethodsSeventy-five participants were enrolled in this study, comprising 37 patients with surgically repaired CP and 38 healthy volunteers matched for age, gender, and body mass index (BMI). All subjects performed standardized sustained phonation tasks while undergoing synchronous monitoring with a 16-electrode EIT system and a pneumotachograph. A comprehensive feature engineering pipeline was developed to extract physiological parameters across 3 complementary domains. (1) Temporal domain: including inspiratory/expiratory phase duration (tPhase), time constants (Tau), and inspiratory-to-expiratory time ratios (TI/TE); (2) airflow domain: comprising mean flow, peak flow, and instantaneous flow at 25%, 50%, and 75% of tidal volume; and (3) spatial domain: quantifying global and regional tidal impedance variation (TIV), global inhomogeneity (GI), and center of ventilation (CoV). Extreme Gradient Boosting (XGBoost) classifiers were trained using 5 distinct data sources (Spirometry, Nasometry, Inspiratory-EIT, Expiratory-EIT, and fused ST-EIT). Model performance was rigorously evaluated via stratified 5-fold cross-validation, and Shapley additive explanations (SHAP) were employed to quantify global and local feature contributions. ResultsThe CP group exhibited a distinct respiratory phenotype compared to controls. In the temporal domain, CP patients showed significantly shorter inspiratory (1.60 s vs.1.85 s, P<0.001) and expiratory phase durations (2.45 s vs. 3.95 s, P<0.001), indicating a rapid, shallow breathing rhythm. In the airflow domain, while inspiratory flows were comparable, the CP group demonstrated significantly elevated mean and peak flows during the expiratory phase (P<0.001), reflecting compensatory respiratory effort. Spatially, CP patients presented significant ventilation redistribution, characterized by higher regional TIV in the right-anterior (ROI1) and left-posterior (ROI4) quadrants, but lower TIV in the left-anterior (ROI2) quadrant. In terms of diagnostic accuracy, the multi-modal ST-EIT model achieved the highest performance (AUC: 0.915±0.012, Accuracy: 0.843±0.019, F1-score: 0.872±0.017), substantially outperforming models based on spirometry (AUC: 0.721) or nasometry (AUC: 0.625) alone. Interpretability analysis revealed that spatial domain features were the most critical, contributing 53.4% to the model’s decision-making, followed by temporal (25.0%) and airflow (21.6%) features. ConclusionST-EIT successfully captures the temporal, airflow, and spatial deviations in CP speech respiration that are undetectable by conventional methods—specifically, rapid phase transitions, hyperdynamic expiratory airflow, and regional ventilation heterogeneity. This study validates ST-EIT as a robust, non-invasive, and radiation-free tool for characterizing speech-respiratory dysfunction, offering high clinical value for bedside screening, rehabilitation planning, and longitudinal monitoring of patients with cleft palate.

ObjectiveHepatocellular carcinoma (HCC) represents 90% of all primary liver cancers. The main risk factors associated with HCC include viral hepatitis (B and/or C), alcohol abuse, and metabolic dysfunction-associated steatotic liver disease (MASLD), which progressively advance to liver fibrosis, cirrhosis, and ultimately evolve into HCC. Surgical resection represents the most effective treatment for HCC, while recent advances in immunotherapy, including immune checkpoint inhibitors and adoptive cell therapies, have provided improved treatment prospects for patients with unresectable HCC. However, the complex metabolic heterogeneity of HCC limits the therapeutic efficacy. Metabolic intermediates acyl-CoA not only provide energy and substrates for numerous biochemical reactions but also serve as donors for protein lysine acylation, a major class of post-translational modification (PTM). Therefore, a deeper understanding of the molecular mechanisms underlying protein lysine acylation and hepatocarcinogenesis is urgently needed. MethodsThe levels of protein lysine acylation and silence information regulator 5 (SIRT5) expression levels in clinical HCC samples were analyzed by Western blot. Quantitative malonylome and succinylome of HCC samples were analyzed by antibody-based affinity enrichment coupled with tandem mass spectrometry. The proliferation of HCC cells was analyzed with Cell Counting Kit-8 (CCK-8) assays, the apoptosis was quantified by Annexin V-FITC/propidium iodide (PI) staining coupled with flow cytometry, and the ability of cells to migrate was assayed by Transwell assays. The enzymatic activity of glutathione S-transferase Mu 1 (GSTM1) was quantified. Transgenic mice with hepatic overexpression of SIRT5 were constructed using CRISPR-Cas9, and primary hepatocarcinogenesis was induced by administration of diethylnitrosamine. ResultsWestern blot analysis indicated that the expression level of SIRT5 was elevated in clinical samples from HCC patients, and the levels of lysine malonylation, glutarylation, and succinylation were significantly reduced in HCC tissues. Knockout of SIRT5 in MHCC-97H and MHCC-97L hepatoma cells suppressed cell proliferation, and increased the percentage of apoptotic cells significantly. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the differentially malonylome and succinylome of HCC samples revealed significant enrichment in two major classes of biological processes: core energy metabolism (e.g., glycolysis/gluconeogenesis, tricarboxylic acid metabolic process, fatty acid beta oxidation) and detoxification and oxidative stress response (e.g., response to toxic substance, chemical carcinogenesis, reactive oxygen species (ROS)). SIRT5 removes malonylation from lysine residues in GSTM1 and restores its detoxification activity, which is crucial for the survival of hepatocytes under stressed conditions. More importantly, in vivo experiment indicated that hepatic-specific overexpression of SIRT5 in mice accelerated diethylnitrosamine-induced liver fibrosis and hepatocarcinogenesis, indicating the critical role of SIRT5 in HCC progression. ConclusionThis study highlights the previously unrecognized SIRT5-GSTM1 axis as a key regulator in hepatocarcinogenesis, and suggests a potential target for the treatment of patients with HCC.

Objective: To compare the effects of eccentric cycling (ECC), concentric cycling (CON), and standard care (CTL) on cardiopulmonary capacity, respiratory health, and quality of life (QoL) in patients with chronic kidney disease (CKD). Methods: Thirty-one CKD patients were divided into the CTL, CON, and ECC groups. The CON and ECC groups participated in 8-week, 24-session cycling programs. Outcomes were assessed through cardiopulmonary exercise tests, respiratory function tests, and the 36-Item Short Form Survey Instrument questionnaire. Results: The ECC group achieved significant improvements in maximal oxygen uptake, while the CTL group showed a decline. For oxygen uptake efficiency slope, significant changes were observed only in the ECC group, with a group-by-time interaction effect compared to CTL. Furthermore, the ECC group demonstrated the most significant increase in diaphragm movement and a significant increase in diaphragm thickness, with comparisons indicating that ECC outperformed both CTL and CON. Regarding QoL, the ECC group exhibited significantly greater improvements in Physical Component Summary and Mental Component Summary, with statistically significant differences compared with the CTL and CON groups. Conclusion ECC is a low-effort, high-benefit exercise modality that significantly enhances cardiopulmonary fitness, respiratory function, and QoL in patients with CKD.

The concept of a community of common health for mankind aims to work with various countries to safeguard the lives and health of people worldwide. Against this backdrop， the international dissemination of traditional Chinese medicine （TCM） has become a significant topic. From October 2022 to November 2023， an anthropological fieldwork and participant observation lasting over a year was conducted in Malaysia， aiming to explore pathways for international dissemination and sharing of TCM under the concept of a community of common health for mankind through collected materials. TCM played a pivotal role in constructing the community of common health for mankind， and its unique value offers precious Chinese wisdom and strength to global healthcare undertakings. Under the initiative of the “Silk Road of Health，” the internationalization of TCM has accelerated， achieving rooted growth and wisdom sharing particularly in Malaysia and other countries along the “Belt and Road.” Facing global challenges， the sharing pathways of TCM in Malaysia became increasingly clear. Through in-depth cooperation with Chinese TCM universities， Malaysia provided valuable experience to global TCM education collaboration. With the in-depth advancement of the “Silk Road of Health” construction， the sharing pathways for TCM in Malaysia and globally demonstrated diversified and systematic characteristics， contributing greater strength for constructing a community of common health for mankind.

[摘 要] 目的：探讨年轻乳腺癌独特的DNA甲基化特征，筛选与预后相关的甲基化位点，构建并验证预后预测模型，并通过多组学整合及关键蛋白验证评估其临床价值。方法：收集癌症基因组图谱（TCGA）数据库中的乳腺癌样本DNA甲基化及临床数据，筛选年轻乳腺癌特有的甲基化位点。采用随机森林、LASSO回归及单因素和多因素Cox比例风险回归分析构建预后模型。使用受试者工作特征（ROC）曲线、校准曲线和一致性指数（C-index）评估模型性能，并比较高、低风险组间的多组学特征差异，在独立队列中通过免疫组化法检测模型关键基因LAMA5的蛋白表达，分析其与预后的关系。结果：年轻乳腺癌相较于老年乳腺癌，在启动子区域（尤其是CpG岛）呈现显著低甲基化特征。通过多步骤差异分析获得3 489个年轻乳腺癌特有的甲基化位点，经Cox比例风险回归筛选出12个与总生存期（OS）独立相关的位点，其中启动子区、基因体区和基因间区位点各4个。基于筛选出的12个甲基化位点构建的预测模型，在TCGA训练集中显示出良好的区分度，高风险组总生存期显著更差（P = 0.002 5），5、8和10年OS预测曲线下面积（AUC）达0.88～0.94。多组学分析显示，高风险组丝裂原活化蛋白激酶（MAPK）信号通路激活，TP53基因突变频率更高，雌激素受体α蛋白表达较低。将TP53突变状态及雌激素受体1（ESR1）mRNA表达水平等关键多组学指标纳入模型，构建综合列线图，其预测效能进一步提升。组织芯片验证显示，模型关键基因LAMA5蛋白表达阴性患者的OS更差（P = 0.046），且富集于三阴性乳腺癌，与模型高风险组的临床病理特征一致。结论：整合启动子和非启动子区域信息的基于12个甲基化位点的模型可用于年轻乳腺癌患者的预后分层。联合年龄、TP53突变及ESR1 mRNA表达水平构建的综合列线图显示出较单一甲基化模型更高的预测效能。

Red doctor culture represents a special cultural form developed by people of all ethnic groups under the leadership of the Communist Party of China during the revolution， construction， and development processes. It closely unites people of all ethnic groups in the historical context of realizing the great rejuvenation of the Chinese nation， possessing great significance for strengthening the sense of community for the Chinese nation. This article adopted ethno-symbolism as an analytical framework， revealing the internal mechanism of red doctor culture in activating the sense of community. The research indicated that red doctor culture adhered to the purpose of serving people’s health wholeheartedly， constructing a health community where all ethnic groups share weal and woe. It firmly upheld the mission of inheriting fine traditional Chinese culture and promoted the integration of traditional Chinese and Western medicine， shaping a cultural community that shares honor and disgrace. Red doctor workers and people of all ethnic groups worked in unity and cooperation， jointly safeguarding life safety and national security in critical moments， thereby building a security community forged through shared struggles. Red doctor culture embodied firm ideals and beliefs， uniting all ethnic groups into a community of shared future bound by common convictions. On this basis， this paper proposed practical paths to strengthen the sense of community for the Chinese nation through red doctor culture， aiming to realize effective transformation of red health resources from historical memory to contemporary identity.

ObjectiveTo investigate the effects of paeoniflorin （PF） on neuroinflammation and cognitive impairment in the rat model of Alzheimer's disease （AD） and to clarify whether its mechanism is associated with regulation of the Janus kinase 2 （JAK2）/signal transducer and activator of transcription 3 （STAT3） signaling pathway. MethodsGlycosides related to AD-associated neuroinflammation were screened through bibliometric analysis， and the potential targets of PF were predicted through network pharmacology and molecular docking. A rat model of AD was established by intraperitoneal injection of D-galactose （100 mg·kg^-1·d^-1）. Rats were assigned into a control group， a model group， a PF （200 mg·kg^-1） group， and a donepezil （0.5 mg·kg^-1·d^-1） group， and drugs were administered by gavage for 21 days. The learning and memory abilities were evaluated by the Morris water maze （MWM）. Hematoxylin-eosin （HE） staining and Nissl staining were performed to observe hippocampal neuronal morphology. The mRNA levels of inflammatory factors were determined by Real-time quantitative polymerase chain reaction （Real-time PCR）， and the protein levels of molecules in the JAK2/STAT3 signaling pathway were determined by Western blot. ResultsCompared with the control group， the model group showed prolonged escape latency and decreased platform crossings and time spent in the target quadrant （P<0.05， P<0.01）， accompanied by increased expression of interleukin-1β （IL-1β） and tumor necrosis factor-α （TNF-α）， as well as elevated ratios of phosphorylated （p）-JAK2/JAK2 and p-STAT3/STAT3 （P<0.01）. Compared with the model group， the PF group and donepezil group exhibited shortened escape latency and increased platform crossings and time spent in the target quadrant （P<0.05， P<0.01）， decreased expression levels of IL-1β and TNF-α， upregulated mRNA levels of interleukin-4 （IL-4） and interleukin-10 （IL-10）， and reduced ratios of p-JAK2/JAK2 and p-STAT3/STAT3 （P<0.05， P<0.01）. ConclusionPaeoniflorin can alleviate cognitive impairment and neuroinflammation in the rat model of AD by inhibiting the JAK2/STAT3 signaling pathway.

OBJECTIVE: To observe the clinical efficacy of acupuncture based on the "head qijie" theory combined with endovascular intervention in the treatment of ischemic stroke (IS). METHODS: Sixty-six IS patients were randomly divided into an experimental group (33 cases, 3 cases dropped out) and a control group (33 cases, 3 cases dropped out). The control group received endovascular intervention. On the basis of the treatment in the control group, the experimental group received acupuncture based on the "head qijie" theory starting from the second day after surgery, Baihui (GV20) and bilateral Fengchi (GB20), Tianzhu (BL10), etc. were selected, once a day, 6 times a week for 2 weeks. Before and after treatment, the scores of National Institutes of Health stroke scale (NIHSS), modified Barthel index (MBI) and modified Rankin scale (mRS) were observed in the two groups, the clinical efficacy and safety were evaluated. RESULTS: After treatment, the NIHSS and mRS scores were decreased compared with those before treatment in both groups (P<0.01), the NIHSS and mRS scores in the experimental group were lower than those in the control group (P<0.05). After treatment, the MBI scores were increased compared with those before treatment in both groups (P<0.01), the MBI score in the experimental group was higher than that in the control group (P<0.05). The total effective rate in the experimental group was 86.7% (26/30), which was higher than 66.7% (20/30) in the control group (P<0.05). The incidence of adverse events in the experimental group was 6.7% (2/30), which was lower than 13.3% (4/30) in the control group (P<0.05). CONCLUSION Acupuncture based on the "head qijie" theory combined with endovascular intervention in treating IS has good efficacy, improves neurological function, and enhances daily living ability.
Humans ; Male ; Female ; Acupuncture Therapy ; Middle Aged ; Aged ; Ischemic Stroke/therapy* ; Acupuncture Points ; Endovascular Procedures ; Treatment Outcome ; Adult ; Combined Modality Therapy