Background Sunshine duration is closely associated with population mental health and emotional states, although its relationship with mental and behavioral disorders (MBD) remains insufficiently studied. Objective To analyze the effect of sunshine duration on hospital admissions for MBD in Zigong City, Sichuan Province. Methods Hospital admission records for MBD from 10 medical institutions, meteorological data, and ambient air pollutant concentrations were collected in Zigong City from January 1, 2019 to December 31, 2024. A distributed lag non-linear model (DLNM) was employed to calculate single-day and cumulative lag effects of different sunshine duration exposures—0 h (P₀, P₅, P₂₅), 6 h (P₇₅), and 10.4 h (P₉₅)—on hospitalization risks for MBD, stratified by diagnostic category, sex, and age groups. Results This study analyzed 36597 hospital admissions for MBD in Zigong City. The exposure-response curve for sunshine duration at lag 0 d exhibited an inverted N-shaped pattern, with minimum relative risk (RR) of hospitalizations observed at 14 h sunshine duration. The immediate effects of different levels of sunshine duration on the hospitalization risk for MBD, schizophrenia, schizotypal and delusional disorders (SSDD), and neurotic, stress-related and somatoform disorders (NSSD) were significant, with the cumulative effect peaking at lags 12–13 days. For extremely short sunshine duration 0 h, the maximum relative risk (RR) values (with 95% confidence intervals, 95%CI) of hospitalization risk were 1.209 (1.001, 1.459) at lag 1 d for SSDD patients and 1.398 (1.133, 1.724) at lag 0 d for NSSD patients, respectively. The cumulative effect on hospitalization risk induced by short sunshine duration 6 h was higher than that induced by extremely short sunshine duration 0 h and long sunshine duration 10.4 h. Among populations stratified by gender and age, male patients and those aged over 70 years had higher hospitalization risks. For short sunshine duration 6 h, the cumulative RR (CRR) value (95%CI) of hospitalization risk for male MBD patients was 3.373 (1.362, 8.358) at cumulative lag 0–12 d, which was higher than that for female patients [2.943 (1.471, 5.889) at cumulative lag 0–13 d]. The population aged over 70 years was more sensitive to single-day and cumulative lag effects on hospitalization risk than other age groups. For short sunshine duration 6 h, the RR and CRR values (95%CI) of single-day and cumulative lag effects on hospitalization risk were 1.336 (1.002, 1.783) at lag 0 day and 5.085 (1.680, 15.392) at cumulative lag 0–12 d, respectively. At lag 13 d, long sunshine duration 10.4 h exposure was associated with depression hospitalizations in patients <20 years with RR=1.127 (95%CI: 1.002, 1.270). Conclusion When the daily sunshine duration is less than 14 h, it will increase the hospitalization risk of MBD in the population to varying degrees, with both single-day and cumulative lag effects. It is recommended that the public, especially vulnerable groups such as people with MBD aged 70 years and above and those with depression under 20 years, strengthen health protection to reduce the health risks caused by changes in sunshine.

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.

Wilson disease （WD） is an autosomal recessive disorder of copper metabolism， and decoppering therapy and symptomatic treatment are the main Western medicine therapies for WD. This article systematically reviews the understanding of the etiology and pathogenesis of WD in traditional Chinese medicine （TCM） and points out that abnormal natural endowment is the core etiology and pathogenesis of WD， with internal accumulation of copper toxicity as the manifestation， liver/spleen/kidney dysfunction as the root cause， and intermingled “toxin， stasis， phlegm， and deficiency” as the key pathogenesis. Literature research and clinical observation are conducted to summarize the common TCM syndromes of WD， including stagnation of liver Qi， internal retention of damp-heat， phlegm-stasis-heat accumulation syndrome， liver-kidney Yin deficiency syndrome， spleen-kidney Yang deficiency， and syndrome of deficiency damage and phlegm stasis. This article proposes the corresponding therapies and representative prescriptions for each syndrome and discusses the advantages of treatment by stage and integrated traditional Chinese and Western medicine therapy. This article aims to provide a systematic reference for the syndrome differentiation-based treatment of WD in clinical practice of TCM， thereby giving full play to the advantages of TCM in the treatment of this disease.

Based on LI Gao's Academic Thought， focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point， a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model， spleen and stomach internal injury is the source of malignant tumor occurrence， while the disorder of ascending and descending is the pivot of the disease development， and the generation of yin fire is the convergence of malignant tumor progression. Based on this， the three major therapeutic methods of clearing the source， harmonizing the pivot， and resolving the convergence are established. To fortify spleen and boost qi， consolidate the root and clear the source， modified Buzhong Yiqi Decoction（补中益气汤）can be used. To raise the clear and direct the turbid downward， regulate qi and harmonize the pivot， modified Shengyang Yiwei Decoction （升阳益胃汤） is suggested. To restore balance and promote circulation， disperse accumulation and resolve convergence， modified Shengyang Sanhuo Decoction （升阳散火汤） is selected. In clinical practice， these formulas can be used in combination according to the complexity of the pathogenesis， and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors， resolving phlegm and promoting circulation， activating blood and eliminating concretions， which can provide a reference for the prevention and treatment of tumor diseases.

Based on LI Gao's Academic Thought， focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point， a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model， spleen and stomach internal injury is the source of malignant tumor occurrence， while the disorder of ascending and descending is the pivot of the disease development， and the generation of yin fire is the convergence of malignant tumor progression. Based on this， the three major therapeutic methods of clearing the source， harmonizing the pivot， and resolving the convergence are established. To fortify spleen and boost qi， consolidate the root and clear the source， modified Buzhong Yiqi Decoction（补中益气汤）can be used. To raise the clear and direct the turbid downward， regulate qi and harmonize the pivot， modified Shengyang Yiwei Decoction （升阳益胃汤） is suggested. To restore balance and promote circulation， disperse accumulation and resolve convergence， modified Shengyang Sanhuo Decoction （升阳散火汤） is selected. In clinical practice， these formulas can be used in combination according to the complexity of the pathogenesis， and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors， resolving phlegm and promoting circulation， activating blood and eliminating concretions， which can provide a reference for the prevention and treatment of tumor diseases.

Diseases of the central nervous system have become a growing global health concern. At present， there are many adverse reactions in the treatment with Western medicine. In contrast， traditional Chinese medicine has shown unique efficacy and rich clinical practice accumulation in diseases of the central nervous system. As a traditional Chinese medicine， Bupleuri Radix has played an important role in the treatment of neurological diseases through multi-target regulation， multi-pathway intervention， and multi-pathway mechanism of action. In recent years， with the in-depth study of the pharmacological effects of Bupleuri Radix， it has been found that the active ingredients such as saikosaponin， baicalin， quercetin， and kaempferol in Bupleuri Radix can be used as the main material basis for the treatment of neurological diseases. The results of this study showed that in neurodegenerative diseases， active ingredients of Bupleuri Radix can inhibit β-amyloid （Aβ） deposition and abnormal phosphorylation of microtubule-associated protein （Tau protein） in Alzheimer's disease， regulate the nuclear factor-κB/nuclear factor E₂ related factor 2 （NF-κB/Nrf2） pathway to play the anti-inflammatory role， and alleviate α-Synuclein （α-Syn） aggregation and mitochondrial damage in Parkinson's disease. In epilepsy， depression， and cerebral ischemia， they can improve symptoms by regulating neurotransmitters， oxidative stress， and apoptosis pathways， and inhibit brain glioma proliferation. However， the mechanism of action has not been fully elucidated， and the complexity of compound components and poor blood-brain barrier penetration limit their clinical application. In the future， it is necessary to integrate multi-omics， network pharmacology， and nano-delivery technologies， focus on the optimization of active ingredient group compounds and the precise guidance of biomarkers， accelerate the development of innovative therapies for Alzheimer's disease， Parkinson's disease， and other diseases for laying a solid theoretical foundation for further development and application and inspiring new research ideas.

AIM: To investigate the application value of pre-treatment tear inflammatory factor levels in predicting therapeutic efficacy for dry eye patients.METHODS:Prospective controlled observational study. A total of 120 patients with dry eye(240 eyes)admitted to our hospital from November 2022 to March 2024 were included. Before dry eye treatment, the levels of inflammatory factors, including interlukin-4(IL-4), IL-6, IL-8, IL-10, IL-12, IL-13, IL-15, IL-18, IL-1β, interferon-γ(IFN-γ), tumor necrosis factor-α(TNF-α), granulocyte-colony stimulating factor(G-CSF), granulocyte-macrophage colony-stimulating factor(GM-CSF), monocyte chemoattractant protein-1(MCP-1)in the tear fluid were detected by ELISA. According to the treatment protocol in the Chinese Expert Consensus on the Treatment of Dry Eye(2020), the patients were given treatments, and the related factors affecting the treatment outcomes of dry eye patients were analyzed.RESULTS:After continuous treatment for 4 wk, all the patients completed follow-up, and they were divided into the markedly effective group(60 patients, 120 eyes)and the ineffective group(60 patients, 120 eyes)based on their therapeutic effects. The markedly effective group had significantly lower pre-treatment levels of IL-6, IL-10, IL-18, IL-1β, and TNF-α than the poor efficacy group(all P<0.05). IL-6(OR=0.994), IL-18(OR=0.998), IL-1β(OR=0.933), and TNF-α(OR=0.998)were independently associated with treatment efficacy(all P<0.05). The nomogram model yielded a C-index of 0.971(95% CI: 0.950-0.993), with calibration curves closely aligned to the ideal curve. The model demonstrated significant predictive value for early therapeutic efficacy(sensitivity=96.67%, specificity=71.67%, cutoff=208, AUC=0.866, 95% CI=0.794-0.952, P<0.001).CONCLUSION:The nomogram model constructed based on the levels of inflammatory factors in dry eye patients before treatment can well predict the treatment effect of patients.

Nasopharyngeal carcinoma （NPC） is a malignant tumor originating from the mucosal epithelium of the nasopharynx. In recent years， its incidence and mortality rates have shown a continuous upward trend， and there is still a lack of therapeutic regimens with both favorable efficacy and safety in clinical practice. Mitogen-activated protein kinase （MAPK） signaling pathway plays a key regulatory role in biological processes such as cell proliferation， differentiation， apoptosis and invasion. It is widely involved in the occurrence and progression of NPC， and serves as an important target in the research field of anti-NPC therapy. This article systematically elaborates on the mechanism of action of the MAPK signaling pathway in NPC， and reviews the research status regarding the anti-NPC effect of active components of traditional Chinese medicine （TCM） and TCM compound prescriptions by regulating this signaling pathway. The results show that TCM active components， including flavonoids （luteolin， maackiain， baicalein， etc.）， alkaloids （picrasidine Ⅰ， tetrandrine， etc.）， terpenoids （bakuchiol， cantharidic acid）， as well as traditional Chinese medicine compound formulas （such as Biyan jiedu capsules and Yiqi jiedu formula） can exert effects including inducing autophagy and apoptosis of NPC cells， promoting pyroptosis， reversing drug resistance， blocking epithelial-mesenchymal transition， weakening cell stemness and arresting cell cycle progression by regulating the MAPK signaling pathway， thereby inhibiting the occurrence and development of NPC through multiple pathways.

OBJECTIVE To investigate the mechanism of Xihuang pill （XHP） against diffuse large B-cell lymphoma （DLBCL）. METHODS The active ingredients of XHP and potential therapeutic targets for DLBCL were identified using TCMSP， GeneCards and DisGeNET databases. Protein-protein interaction networks were constructed using the String database and Cytoscape software to screen core components and core targets. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were then performed. The clinical relevance of core targets was analyzed using the GEPIA and PanCanSurvPlot databases. Molecular docking and molecular dynamics （MD） simulation were conducted to verify the interactions between core components and core targets， and the binding free energy was calculated using the molecular mechanics Poisson-Boltzmann surface area （MM-PBSA） method. The effects of XHP on DLBCL and the related molecular mechanisms were validated using CCK-8 assay， flow cytometry and Western blot. RESULTS Network pharmacology analysis identified 108 active ingredients of XHP and 410 potential therapeutic targets for DLBCL. Six core components （e.g.， 17 beta-estradiol， quercetin） and ten core targets [e.g.， tumor protein 53 （TP53）， proto-oncogene tyrosine-protein kinase Src （SRC）] were obtained. Enrichment analysis indicated that the anti-DLBCL effects of XHP were primarily associated with the apoptotic signaling pathway， the phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway and so on. Clinical correlation analysis revealed that TP53 and SRC expression were significantly up-regulated in DLBCL tissues and associated with poor patient prognosis （P＜0.05）. Molecular docking， MD simulations and MM-PBSA calculations confirmed that the SRC-quercetin complex had a mail：stronger and more stable binding affinity. In vitro experiments demonstrated that XHP concentration-dependently inhibited the proliferation of DLBCL cells； compared with control group， XHP medium- and high-dose groups could significantly induce the apoptosis of SU-DHL2 and SU-DHL4 cells， and significantly down- regulated the expressions of SRC protein， phosphorylated （p）-PI3K/PI3K and p-Akt/Akt in SU-DHL4 cells （P＜0.05）. CONCLUSIONS XHP may inhibit the proliferation and induce the apoptosis of DLBCL cells by regulating the SRC/PI3K/Akt signaling pathway.