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.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

Tuberculosis (TB) remains a major global public health threat. The World Health Organization (WHO) 2020–2024 global TB reports provide a comprehensive overview of the TB situation from 2019 to 2023. In 2023, TB re-emerged as the world's leading infectious killer, with an estimated 10.8 million new cases. While the growth in the incidence rate slowed, the number of deaths decreased to 1.25 million. The COVID-19 pandemic significantly disrupted TB control efforts in 2020–2021. As control measures are gradually restored, a positive trend in TB control is emerging. However, significant regional disparities in incidence persist, with eight high-burden countries, including India and China, accounting for over two-thirds of the global total. In 2023, global treatment coverage for drug-resistant TB (DR-TB) was 44.00% with a treatment success rate of 68.00%; yet, with 400 000 new drug-resistant cases, the control situation remains severe. China has achieved remarkable progress in TB control: new cases fell to 741 000 in 2023 (an incidence of 52 per 100 000); mortality decreased significantly; its share of the global DR-TB burden dropped from 14.00% to 7.30%; and the TB/HIV co-infection rate declined from 1.68% in 2019 to 0.66% in 2023, outperforming the global average. Globally, control measures continue to be optimized: treatment coverage increased from 70.00% in 2019 to 75.00% in 2023, the number of people receiving preventive therapy grew to 4.7 million, and rapid diagnostic coverage reached 48.00%. In China, the number of patients treated recovered to 565 000 in 2023, and rapid diagnostic coverage rose to 74.00%. Although technological innovations have enhanced the efficiency of prevention, screening, diagnosis, treatment, and management, achieving the 2030 End TB Strategy goals will require strengthening TB management, building primary healthcare capacity, and targeting interventions for high-risk populations, while balancing resource allocation with technological innovation to address the challenges of a heterogeneous global epidemic.

AIM:This study explores whether curcumin(Cur)promotes mitophagy to attenuate nonalcoholic steatohepatitis(NASH)in mice,as well as the possible molecular mechanisms involved.METHODS:A high-fat and high-cholesterol diet was used to replicate the NASH mouse model.Thirty-two male C57BL/6J mice were randomly divided into normal control(NC)group,high-fat and high-cholesterol model(M)group,M+low-dose Cur(Cur-L)group,and M+high-dose Cur(Cur-H)group,with 8 mice in each group.The weight of 8 mice in each group was recorded weekly.After feeding for 18 weeks,the serum and liver of mice were collected.Serum levels of total cholesterol(TC),triglyceride(TG),low-density lipoprotein(LDL-C),alanine aminotransferase(ALT),aspartate aminotransferase(AST),and tumor necrosis factors-α(TNF-α)were measured.Liver index was calculated,and steatosis,inflammation,and fibrosis of the liver were observed by HE and Masson staining.Western blot analysis was performed to detect the protein expression of mi-tophagy-related protein,TNF-α and α-SMA in the liver.(2)HepG2 cells were treated with oleic acid and cholesterol to replicate the hepatocyte injury model,which was divided into NC group,Cur group,M group,and M+Cur group.Small interfering RNA for PTEN-induced kinase 1(PINK1)knockdown was used to explore the relationship between PINK1-me-diated mitophagy and NASH.Compound C(CC)was used to inhibit AMP-activated protein kinase(AMPK)to explore the effect of the AMPK/silent information regulator 1(Sirt1)pathway on mitophagy.The lipid droplets of HepG2 cells were ob-served by oil red O staining,and the levels of TC,TG,LDL-C,ALT,and AST in cell suspension were detected.RE-SULTS:(1)Compared with M group,treatment with Cur significantly reduced the body weight,liver coefficient,and se-rum levels of TC,TG,LDL-C,ALT,AST,and TNF-α in NASH mice,while the steatosis and fibrosis in the liver were improved(P<0.05).(2)Different concentrations of Cur could increase or decrease the expression of mitophagy-related proteins in HepG2 cells in a concentration gradient.Compared with the M group,Cur reduced lipid droplets and de-creased TC,TG,LDL-C,ALT,and AST levels(P<0.05).(3)Compared with the NC group,the expression levels of mi-tophagy-related proteins in the liver of mice in the M group decreased,and the expression levels of TNF-α and α-SMA pro-teins increased.Different concentrations of Cur intervention promoted the increase of mitophagy-related proteins and the decrease of TNF-α and α-SMA proteins(P<0.05).(4)After Cur intervention,the expression levels of mitophagy-related proteins increased and the expression levels of in TNF-α and α-SMA levels decreased in HepG2 cells induced by oleic acid and cholesterol(P<0.05).(5)Compared with M group,oleic-acidand cholesterol-induced mitophagy function in HepG2 cells was decreased after PINK1 knockdown(P<0.05).After CC inhibited AMPK,Cur increased the expression of p-AMPK(P<0.01),Sirt1(P<0.01),peroxisome proliferator-activated receptor γ coactivator-1α(P>0.05),PINK1(P<0.01)and parkin(P<0.01)proteins to some extent.CONCLUSION:Treatment with Cur attenuates liver injury in NASH mice and reduces lipid accumulation in HepG2 cells induced by oleic acid and cholesterol,and the mechanism may be related to promotion of mitophagy,which may involve the AMPK/Sirt1 signaling pathway.

Respiratory syncytial virus(RSV)infection is a major respiratory disease threatening the health of infants and immuno-compromised populations worldwide,with no specific therapeutic drugs available.Traditional Chinese medicine(TCM)has shown unique advantages of multi-target and multi-pathway in the prevention and treatment of RSV infection,and its mechanism is closely re-lated to the regulation of cellular signaling pathways.This article systematically reviews the research progress of TCM including mono-mer components and compound prescriptions in intervening RSV infection through nuclear factor-κB(NF-κB),Janus kinase/signal transducer and activator of transcription(JAK/STAT),phosphatidylinositol 3-kinase/protein kinase B(PI3K/Akt),mitogen-activated protein kinase(MAPK),nuclear factor E2-related factor 2/heme oxygenase-1(Nrf2/HO-1)and other signaling pathways.Current re-search still has problems such as insufficient analysis of pathway synergy mechanisms,unclear material basis of compounds,and single technical means.Future studies should focus on cross-talk of multiple pathways,identification of active component groups of TCM,and research on"syndrome-type-pathway"association,combined with cutting-edge technologies such as network pharmacology and or-ganoid models,so as to provide a scientific basis for the mechanism and clinical transformation of TCM against RSV infection.

AIM To investigate the impact of varying dosages of Supplemented Wendan Decoction on the PI3K/Akt/FOXO1 glycolipid metabolic pathway in 3T3-L1 adipocytes.METHODS The CCK-8 assay was used to determine the concentration of Supplemented Wendan Decoction-medicated serum.The mature adipocytes differentiated from 3T3-L1 preadipocytes after induction were further divided into the blank control group,the model group,the rosiglitazone group(10 mg/L),and the Supplemented Wendan Decoction groups(5％,10％,and 20％),followed by the sample collections after 48 hours of treatment.Oil red O staining quantified lipid accumulation in 3T3-L1 adipocytes;extracellular glucose levels were measured using glucose oxidase(GOD)assay;RT-qPCR analyzed mRNA expressions of IRS-1,PI3K,Akt,GLUT4,IL-6,TNF-α and IL-1β;Western blot assessed protein expressions of INSR,IRS-1,PI3K-p85,Akt,FOXO1 and GLUT4.RESULTS No significant changes in cell viability(P＞0.05)were observed in 3T3-L1 preadipocytes exposed to serum containing supplemented Wendan Decoction at different concentrations for 24,48,or 72 hours.The 3T3-L1 preadipocytes held the capacity to differentiate into mature adipocytes within a 14-day induction period.Compared to the model group,all supplemented Wendan Decoction groups exhibited reduced lipid accumulation in adipocytes and downregulated mRNA expression of IRS-1,IL-6,TNF-α and IL-1β(P＜0.01);the low-dose group demonstrated increased mRNA expressions of PI3K and GLUT4(P＜0.05,P＜0.01),alongside elevated protein expressions of INSR,IRS-1,PI3K-p85,Akt and GLUT4(P＜0.05,P＜0.01);the medium-dose group showed enhanced GLUT4 mRNA expression,and upregulated protein expressions of INSR and FOXO1(P＜0.01).After 24 hours intervention,the high-dose Supplemented Wendan Decoction group exhibited increased glucose consumption in adipocytes(P＜0.01),and elevated protein expression of INSR,Akt and FOXO1(P＜0.05,P＜0.01).CONCLUSION Supplemented Wendan Decoction reduces lipid accumulation in adipocytes,regulates glucose and lipid metabolism,and promotes metabolic homeostasis through PI3K/Akt/FOXO1 signaling pathway.

Objective To design a magnetic curved disc for placing suture needles and explore its application effect in surgery.Methods The designed magnetic curved disc consisted of three parts:the curved disc body,the suture needle round table and permanent magnet.A total of 40 doctors and 40 nurses(1 doctor with 1 nurse)from Zhongshan Hospital Affiliated to Dalian University and a tertiary Grade A comprehensive hospital in Shanghai in September 2021 were selected,and randomly divided into the observation group and the control group,with 40 cases in each group.The observation group placed suture needles in the curved magnetic disc and the control group placed suture needles in the ordinary curved disc,with 12 suture needles in each curved disc.Each doctor sutured 60 times on the skin model.The precision rate of needle clamping,needle clamping time,needle removal rate,needle loss rate,needle counting time and medical staff satisfaction were compared between the two groups.Results The precision rate of needle clamping in the observation group was higher than that in the control group,and the needle clamping time and needle counting time were shorter than those in the control group,the needle removal rate was lower than that in the control group,and the medical staff satisfaction was higher than that in the control group,with statistically significant differences(P<0.05).There was no significant difference in the needle loss rate between the two groups(P>0.05).Conclusion The use of magnetic curved disc in surgery can improve the precision rate of needle clamping and the medical staff satisfaction,shorten the needle clamping time and needle counting time,and reduce the needle loss rate,with high safety of surgery.

ObjectiveTo investigate the status of tooth loss in people aged 50 and above, so as to understand their oral health status and provide scientific evidences for promoting oral health of middle-aged and elderly people. MethodsA total of 400 patients who visited the department of stomatology at Sijing Hospital in Songjiang District of Shanghai were performed oral health examinations and their information was collected according to the national epidemiological survey standards for oral health. ResultsThere were statistically significant differences in tooth loss among people aged 50 and above with different ages, educational levels, occupations, types of medical insurance and chronic diseases (P<0.05), but gender and monthly income had no statistically significant correlations with tooth loss (P>0.05). Among lifestyle factors, smoking, alcohol consumption and tea drinking had no statistically significant impacts on the number of remaining teeth (P>0.05), but toothbrushing frequency, flossing frequency, toothpick use frequency, toothbrush replacement frequency, and tooth loosening were statistically associated with the number of remaining teeth (P<0.05). Multiple linear regression analyses indicated that a total of 7 related factors including age, educational level, occupation, medical payment type, chronic disease, tooth loosening and toothpick use frequency were significantly associated with the number level of remaining teeth in individuals aged 50 and above. ConclusionAge, chronic disease, and tooth loosening were influencing factors affecting the number of teeth left in people aged 50 and above. It is recommended to strengthen oral health education and improve healthcare awareness to reduce the risk of tooth loss in people aged 50 and above.

The chemical composition of Paeoniae Radix Alba(PRA) is complex, with primary secondary metabolites including monoterpenoids, tannins, triterpenoids, and flavonoids. In previous studies on the material basis of PRA, it was found that, in addition to the widely studied characteristic monoterpene glycosides, tannic acid components also play an important role in the efficacy of PRA. However, their pharmacological effects have not been thoroughly investigated. This paper reviews the tannic acid components in PRA, including pentagaloyl glucose(PGG), tetragaloyl glucose(TGG), trigaloyl glucose(TriGG), and gallic acid, along with their structures, properties, and characteristics to provide a detailed discussion of their pharmacological activities and related mechanisms, aiming to offer a theoretical basis for the material basis research and clinical application of PRA.
Paeonia/chemistry* ; Tannins/chemistry* ; Humans ; Drugs, Chinese Herbal/chemistry* ; Animals ; Plant Extracts