This study investigates the clinical approach and practical experience of treating gout based on the Traditional Chinese Medicine (TCM) theory of "integrating movement and stillness", with the aim of providing a reference for the standardized TCM treatment of gout. The study systematically reviews the theoretical origins of "movement–stillness integration" in TCM, analyzes the core pathogenesis at different stages of gout, and, drawing on Professor Jiyong Huang's clinical experience—derived from the teachings of the nationally renowned senior TCM expert Yongsheng Fan—expounds in detail the principles of medication, herbal compatibility, and clinical application of this theory across the various stages of gout. Representative clinical cases are included for validation. The theory of "integrating movement and stillness" is grounded in the holistic concept of TCM and syndrome differentiation based on deficiency and excess. "Moving" medicinals primarily function to attack pathogenic factors, promote circulation, and disperse obstruction, forming the core strategy for eliminating pathogens; "still" medicinals emphasize astringing, consolidating, and tonifying actions, thereby protecting vital qi and maintaining physiological balance. The fundamental pathogenesis of gout is characterized by "root deficiency with branch excess" and a mixture of deficiency and excess. In the stage of hyperuricemia, spleen and kidney deficiency with internal accumulation of damp turbidity predominates, and treatment follows the principle of "stillness as primary, movement as adjunct", focusing on strengthening the spleen and transforming turbidity. In the acute stage, damp-heat obstruction and stagnation in the channels and collaterals are dominant, and treatment emphasizes "movement as primary, stillness as adjunct", aiming to clear heat and unblock the channels. In the chronic stage, phlegm, blood stasis, and turbid toxins congeal alongside liver and kidney deficiency, and treatment adopts a balanced approach of "equal emphasis on movement and stillness", with the dual goals of eliminating turbidity and supporting the body's vital qi. Clinical application of this theoretical framework through appropriate herbal combinations can effectively alleviate symptoms in gout patients, reduce serum uric acid levels, and decrease the frequency of acute attacks, while avoiding the limitations associated with treatments that rely solely on pathogen elimination or solely on tonification. The study concludes that the theory of "integrating movement and stillness" aligns closely with the dynamic evolution of gout pathogenesis. Its therapeutic principles—"using movement to eliminate pathogens and unblock channels, and stillness to protect vital qi and consolidate the root"—offer clear clinical guidance across all stages of gout. Furthermore, integrating this approach with Western medicine interventions can enhance overall therapeutic efficacy and delay disease progression.

This study explored the experiences of nurses caring for elderly patients with chronic diseases in China and evaluated a nursing intervention model to address their physical, psychological, and social needs. Using a quantitative approach, data were collected via questionnaires from nurses in experimental and control groups. Results showed that the experimental group—trained through the Small Private Online Course (SPOC) teaching mode—outperformed the control group in teaching quality, learning motivation, resource efficiency, and course interaction. Significant differences in teaching perception were observed across student subgroups, suggesting the need for tailored SPOC strategies. The study recommends strengthening emotional support for caregivers, adopting patient-centered care, improving care continuity, enhancing nursing education, and promoting interdisciplinary collaboration to improve both patient outcomes and nurse satisfaction.

RNA viruses are very dangerous to global health. Because of their tendency to either undergo high rates of mutation or quickly evolve as the case of influenza, COVID-19, and Ebola depicts. Their etiology is not only the solution to a core mystery in the life sciences, but it also applies to prevention of the disease by viruses and to drug development. This paper compares three classical origin theories, including the Escape Hypothesis (fragments escape from cellular genetic material), the Regressive Hypothesis (degeneration of complex parasitic cells) and the Coevolution Hypothesis. By analyzing empirical data, logical and limitation of both theories, the paper shows the pluralistic nature of the origin of viruses: retroviruses have the Escape Hypothesis, giant viruses have the Regressive Hypothesis, and the majority of RNA viruses have the Coevolution Hypothesis. The Coevolution Hypothesis, which is backed by a set of Endogenous Viral Elements (EVEs) in the genomes of its hosts and a strong level of conservation of replicase genes in lineages of ancient RNA viruses, is the most clear umbrella explanatory force on the overall diversity of RNA viruses. The study contributes to the existing body of knowledge on viral evolution by confirming the complementary character of the three hypotheses. It offers theory foundations to antiviral guidelines. They are the development of broad-spectrum antiviral drugs against conserved viral replicase proteins, and predicting the risks of zoonotic infections depending on lineage evolution.

Hypertension is recognized as a major global public health concern and a leading risk factor for cardiovascular disease and mortality. However, traditional risk scoring methods have limitations in identifying high-risk populations, and there is a pressing need for more precise and rapid predictive tools. With the emergence of Artificial Intelligence (AI), machines are increasingly employed to execute complex tasks, yielding substantial achievements. As the most pertinent branch of AI in medicine, Machine Learning (ML) is progressively being embedded in routine clinical practice. Therefore, optimizing ML predictive strategies to enhance their predictive accuracy, clinical utility, and generalizability is of great significance. This review summarizes the predictive performance and clinical value (early detection) of ML algorithms in predicting Hypertension-related Heart Disease (HHD) risk in the Global Burden of Disease Study (GBD) and the National Health and Nutrition Examination Survey (NHANES) databases, as well as the prospects for optimizing multimodal data fusion strategies to improve predictive accuracy and expand the application of precision prevention. We aim to compare the performance of different ML algorithms in predicting HHD risk using the Global Burden of Disease Study and the National Health and Nutrition Examination Surveys databases.

Objective: To analyze the mechanism of Shenqi Longmu Mixture in treating the progression of Chronic Kidney Disease (CKD) by network pharmacology. Methods: The active ingredients of Shenqi Longmu Mixture with potential pharmacological effects were screened using the TCMSP and HERB databases. Target prediction and analysis were performed using the PubChem database and Swiss Target Prediction platform to identify the potential targets of the prescription. Cytoscape software was employed to construct a multi-level "drug-active ingredient-target" network, and core chemical components were determined according to degree values. CKD disease targets were obtained from the OMIM and GeneCard databases, and the common targets of the drug and disease were identified. Core targets were acquired by constructing a Protein-Protein Interaction (PPI) network, followed by Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses of the intersecting targets. Molecular docking was carried out with MOE software, and visualization analysis was implemented using PyMol software. Results: A total of 90 active ingredients were screened, among which quercetin, kaempferol, β-sitosterol, luteolin, taxifolin, and naringenin were the core components. There were 95 intersecting targets with CKD. GO enrichment analysis identified 2,206 biological processes, 126 cellular components, and 156 molecular functions. KEGG enrichment analysis yielded 160 signaling pathways. Conclusion: Shenqi Longmu Mixture may exert therapeutic effects on CKD through a multi-component, multi-target, and multi-pathway mode, providing a new theoretical basis for subsequent research.

Malignant tumours are among the top ten diseases worldwide and exhibit very high morbidity and mortality. Traditional treatment methods, including radiotherapy and chemotherapy, cannot meet the urgent clinical need for cancer treatment due to poor selectivity, significant trauma, and the risk of metastasis. Sonodynamic Therapy (SDT) is an emerging tumour treatment modality. SDT based on ultrasonic-response piezoelectric nano materials demonstrates strong clinical potential due to its non-invasive nature, high efficiency, and high biosafety. Traditional acoustic sensitizers are mainly organic compounds. With the development of nanotechnology, novel acoustic sensitizers based on piezoelectric nano materials have gradually been developed. Tin selenide, a transition metal chalcogenide, is a layered (2D) semiconductor material that exhibits excellent piezoelectric properties and is expected to serve as a new type of acoustic sensitizer in tumour therapy. Tin selenide nanoparticles were synthesised using a wet chemical method with selenium powder and stannous chloride dihydrate as raw materials under alkaline conditions. Sufficient ROS were detected after ultrasonic treatment of SnSe NSs in aqueous solution under dark conditions, with the main types identified as ·OH and 1O2. The 4T1 mitoptosis test and biosafety evaluation demonstrated that SnSe NSs effectively kill tumour cells without significant toxicity to normal cells.

Background & Objective: Current research on aromatherapy and music therapy mainly focuses on patients, lacking demographic diversity. This study evaluates the physiological and psychological effects of these therapies on nursing staff. Methods: PubMed, Web of Science, and CNKI were searched for eligible RCTs published before September 2025. Outcomes included stress, fatigue, blood pressure, and heart rate. Results: Eight RCTs involving 1,382 nursing staff were included. Aromatherapy and/or music therapy did not significantly reduce stress and fatigue levels (MD: 0.51; 95% CI: 0.47–0.56; p = 0.6855). However, they effectively reduced systolic blood pressure (MD: -3.04 mmHg; 95% CI: -4.87 to -1.22; p = 0.0494), diastolic blood pressure (MD: -2.67 mmHg; 95% CI: -3.91 to -1.43; p = 0.0147), and pulse rate (MD: -2.34; 95% CI: -4.02 to -0.67; p = 0.0021). Conclusion: Compared to control conditions, aromatherapy and/or music therapy can effectively alleviate autonomic nervous system tension in nursing staff, but their subjective stress and fatigue did not show significant improvement.

Non-Valvular Atrial Fibrillation (NVAF) is closely associated with ischemic stroke, and accurate risk stratification is crucial for individualized anticoagulation. This study aimed to develop a machine learning model for ischemic stroke risk stratification in NVAF patients by integrating Left Atrial Strain Parameters and Systemic Inflammatory Indices (SII, SIRI), and to evaluate its clinical utility. A retrospective case-control study enrolled 109 NVAF patients (46 with stroke, 63 without); Left Atrial Reservoir Strain (LASr), Conduit Strain (LAScd), Contractile Strain (LASc) were measured via two-dimensional speckle-tracking echocardiography, and SII, SIRI were calculated. Independent risk factors identified by multivariate logistic regression were used to construct 11 machine learning models, whose performance was assessed by AUC, accuracy, and F1-score; the optimal model was interpreted by SHAP and its clinical net benefit evaluated by decision curve analysis. SIRI, LASr, and SII were independently associated with stroke (all p < 0.05); the Random Forest model performed best, with a testing set AUC of 0.940 (95% CI: 0.852-1.000), and SHAP analysis and decision curve analysis confirmed its reliability and clinical value. The multimodal machine learning model integrating left atrial reservoir function and inflammatory status effectively stratifies stroke risk in NVAF patients, and may serve as a complementary tool to the CHA₂DS₂-VASc score for individualized anticoagulation decisions.

Traditional Chinese Medicine (TCM) culture is an important part of Chinese excellent traditional culture. The proposal of the "Healthy Silk Road" has closely integrated the international promotion of TCM with the "Belt and Road Initiative". Safeguard discipline provides a systematic framework for risk prevention, standard construction, rights protection and sustainable development in the overseas promotion of TCM. Based on literature review and current situation analysis, this paper sorts out the advantages, shortcomings and realistic dilemmas of TCM culture communication under the "Healthy Belt and Road", integrates safeguard concepts such as cultural security, intellectual property rights, standardization and legal protection, and puts forward targeted strategies for talent training, communication channel construction and diversified communication mechanism. The study shows that taking safeguard discipline as the support can effectively reduce the "cultural discount" and overseas risks of TCM, improve the international recognition and sustainable communication level of TCM culture, and provide a stable guarantee path for TCM to go global.

Uterine leiomyomas are the most common benign gynecologic tumors of the female reproductive system. Laparoscopic minimally invasive surgery has become a critical surgical procedure for symptomatic uterine leiomyomas. With the widespread use of uterine morcellators during laparoscopic myomectomy, the rare late complication associated with this technique, Leiomyomatosis Peritonealis Disseminata (LPD), has garnered increasing attention among gynecologists. This paper reports one case of LPD admitted to the Department of Gynecology of Zhuhai People's Hospital Affiliated to Jinan University (hereinafter referred to as our hospital) and reviews the existing literature. LPD is a potential devastating consequence of unrestricted laparoscopic morcellation. For the surgical treatment and management of LPD, especially in cases involving multiple organ involvement, a multidisciplinary diagnosis and treatment approach is clinically recommended, with surgery as the first-line treatment.