Objective: To evaluate the effectiveness of school-family-community comprehensive intervention aimed at reducing sugar sweetened beverage(SSB) consumption among primary and secondary school students, so as to provide scientific basis for relevant departments to formulate campus sugar reduction measures for primary and secondary school students. Methods: In October 2023, a multi stage random cluster sampling method was used to select four primary schools (grade 4) and four junior high schools (grade 7) in Nanjing City, and they were randomly divided into the intervention group ( n =1 601) and the control group ( n = 1 433 ) (primary and secondary schools). The intervention group received a one year comprehensive intervention activity with the theme of “drinking less SSBs and enjoying a healthy life” for one consecutive year. The measures included the school conducting health education courses (once a month, 15 minutes each time), environmental support (posting promotional posters, changing them once a month), class bulletin board and interest projects (once a semester); interventions for families included conducting parent lectures (once per semester 30 min each time), new media (once a month) and hand in hand activities (once per semester); community carried out square promotion and create a supportive environment (post promotional posters and replace them once a month). The control group did not receive any intervention measures except regular health education classes. Self administered questionnaires were used to collect knowledge, attitudes, and intake of SSB at the baseline and after the intervention among primary and secondary school students. Results: After the intervention, the proportion of students in the intervention group with an SSB related knowledge awareness rate of 60% or above was 91.4%, which was higher than that of the control group (81.9%) ( χ 2=60.35, P < 0.01 ). The reporting rate of the behavior of choosing to drink beverages when thirsty in the intervention group was 25.4%, which was lower than that of the control group (33.3%); the reporting rates of informing parents about the hazards of sugar sweetened beverages and paying attention to nutrition labels were 62.0% and 78.0% respectively, both of which were higher than those of the control group (52.3%, 65.9%); the reporting rate of having sugar sweetened beverages at home frequently was 43.7% in the intervention group, which was lower than that of the control group (62.3%); the reporting rate of parents restricting the consumption of sugar sweetened beverages was 84.1%, which was higher than that of the control group (78.4%) ( χ 2= 22.66, 29.05, 54.40, 104.84, 16.24, all P <0.05). The reporting rate of students in the intervention group who consumed sugar sweetened beverages more than 4 times per week was 21.5%, which was lower than that of the control group (28.6%), and the difference was statistically significant ( χ 2=20.36, P <0.01). Conclusion The comprehensive intervention of school-family-community can effectively improve primary and secondary school students knowledge and attitudes regarding SSBs and reduce their consumption of these beverages.

Objective To explore the mechanism of IgA nephropathy(IgAN)caused by multi-glycosides of Tripterygium wilfordii(GTW)through the regulation of Silent information regulatory factor 1(SIRT 1)/nuclear transcription factor E2-related factor 2(Nrf 2)/antioxidant enzyme heme oxygenase 1(HO-1)signaling pathway.Methods Forty-five male SD rats were selected and randomly divided into two groups:the blank group(n=9)and the model group(n=36).In addition to the blank group,the BSA+CCl4+LPS group was used.At the end of 12 weeks,two rats were randomly selected for verification,and the model was successfully established.The 34 model rats were randomly divided into 3 groups:the model group(n=10),prednisone group(n=12),and GTW group(n=12).Urine,blood and kidney tissues were harvested 4 weeks after drug administration.Urinary erythrocyte number,24-h urinary protein quantification(24 h-UTP),alanine transaminase(ALT),serum albumin(ALB),urea nitrogen(BUN),and blood creatinine(SCr)were performed for each group;the protein expression of SIRT1,Nrf2,HO-1 and PINK1 was detected by Western blotting analysis;real-time polymerase chain reaction(RT-PCR)detection of SIRT1,Nrf2,HO-1 and PINK1 mRNA expression in rat kidney tissue;and detection of IgA deposition in the renal mesangial area by immunofluorescence.Kidney histopathological changes were observed in all the rats by hematoxylin-eosin(HE)staining.Results The results compared with those in the blank group,the urinary red blood cell count and 24 h-UTP,ALT,BUN,and SCr levels were significantly greater(P<0.01);The ALB level was significantly lower(P<0.01);renal tissue SIRT1,Nrf2,HO-1,PINK1 protein and mRNA expression were significantly lower(P<0.01);IgA deposition in the mesentery was obvious;renal pathological damage was severe;and the difference was statistically significant. Compared with those in the model group,urinary red blood cell counts and 24 h-UTP,ALT,BUN,and SCr levels in the prednisone and GTW groups were significantly lower (P<0.01);ALB levels were significantly greater (P<0.01);SIRT1,Nrf2,HO-1,PINK1 protein and mRNA expression were significantly greater (P<0.01);IgA deposition in the mesangial area was reduced,and renal pathology was improved,with statistically significant difference. Conclusions GTW may alleviate oxidative stress injury,protect renal function,and improve renal injury by activating the SIRT 1/Nrf 2/HO-1 signaling pathway.

This study aims to explore different construction methods for animal models of traditional Chinese medicine(TCM)syndromes and their advantages and disadvantages,to propose optimization strategies for existing problems in current construction methods,and to provide reference for constructing animal models of TCM syndromes that both preserve the essence of TCM syndromes and conform to modern scientific research standards.Using"traditional Chinese medicine","syndrome",and"animal model"as key words,articles related to animal models of TCM syndromes from CNKI,Wanfang,and VIP databases are searched and reviewed.Then the theoretical basis,technical characteristics,and existing problems of the main construction methods of current TCM syndrome animal models are systematically sorted out,and corresponding optimization measures are proposed for the existing problems.The construction methods of TCM syndrome animal models include TCM etiology and pathogenesis construction,modern medical etiology and pathology construction,and integration of TCM and Western medicine for diseases and syndromes.The TCM etiology and pathogenesis construction method is guided by a holistic perspective,constructing syndrome models by simulating external factors such as six pathogenic factors and emotional disorders.Although it conforms to TCM theoretical connotation and has simple operation and strong controllability,this method has problems such as low modeling success rate and poor etiology-syndrome fit.The modern medical etiology and pathology construction method is based on microscopic pathological mechanisms,adopting highly controllable technical means such as drug intervention and surgical modeling.Although it has the characteristics of clear objective indicators and excellent reproducibility,this method has defects such as deviation from the essence of TCM"syndrome"and insufficient safety.The integrated TCM-Western medicine disease-syndrome method shows significant complementarity in syndrome essence restoration degree and technical feasibility,achieves systematic integration of TCM basic theories and clinical syndrome differentiation thinking in methodology,and integrates the objective evaluation system of modern medicine,improving the clinical consistency between Western medicine pathological mechanisms and TCM syndrome evolution patterns.However,this method still faces common challenges such as ambiguous syndrome identification standards and distortion of disease progression simulation.The construction of TCM syndrome animal models faces challenges such as poor theoretical adaptability and poor technical standardization,but has irreplaceable value in verifying the efficacy of prescriptions and promoting the internationalization of TCM.In the future,the construction of TCM syndrome animal models should be optimized through measures such as optimizing animal selection,improving the theoretical basis of preparation methods,standardizing the setting of modeling factors,and clarifying the standard for modeling success.

This study aims to explore different construction methods for animal models of traditional Chinese medicine(TCM)syndromes and their advantages and disadvantages,to propose optimization strategies for existing problems in current construction methods,and to provide reference for constructing animal models of TCM syndromes that both preserve the essence of TCM syndromes and conform to modern scientific research standards.Using"traditional Chinese medicine","syndrome",and"animal model"as key words,articles related to animal models of TCM syndromes from CNKI,Wanfang,and VIP databases are searched and reviewed.Then the theoretical basis,technical characteristics,and existing problems of the main construction methods of current TCM syndrome animal models are systematically sorted out,and corresponding optimization measures are proposed for the existing problems.The construction methods of TCM syndrome animal models include TCM etiology and pathogenesis construction,modern medical etiology and pathology construction,and integration of TCM and Western medicine for diseases and syndromes.The TCM etiology and pathogenesis construction method is guided by a holistic perspective,constructing syndrome models by simulating external factors such as six pathogenic factors and emotional disorders.Although it conforms to TCM theoretical connotation and has simple operation and strong controllability,this method has problems such as low modeling success rate and poor etiology-syndrome fit.The modern medical etiology and pathology construction method is based on microscopic pathological mechanisms,adopting highly controllable technical means such as drug intervention and surgical modeling.Although it has the characteristics of clear objective indicators and excellent reproducibility,this method has defects such as deviation from the essence of TCM"syndrome"and insufficient safety.The integrated TCM-Western medicine disease-syndrome method shows significant complementarity in syndrome essence restoration degree and technical feasibility,achieves systematic integration of TCM basic theories and clinical syndrome differentiation thinking in methodology,and integrates the objective evaluation system of modern medicine,improving the clinical consistency between Western medicine pathological mechanisms and TCM syndrome evolution patterns.However,this method still faces common challenges such as ambiguous syndrome identification standards and distortion of disease progression simulation.The construction of TCM syndrome animal models faces challenges such as poor theoretical adaptability and poor technical standardization,but has irreplaceable value in verifying the efficacy of prescriptions and promoting the internationalization of TCM.In the future,the construction of TCM syndrome animal models should be optimized through measures such as optimizing animal selection,improving the theoretical basis of preparation methods,standardizing the setting of modeling factors,and clarifying the standard for modeling success.

Objective To explore the mechanism of IgA nephropathy(IgAN)caused by multi-glycosides of Tripterygium wilfordii(GTW)through the regulation of Silent information regulatory factor 1(SIRT 1)/nuclear transcription factor E2-related factor 2(Nrf 2)/antioxidant enzyme heme oxygenase 1(HO-1)signaling pathway.Methods Forty-five male SD rats were selected and randomly divided into two groups:the blank group(n=9)and the model group(n=36).In addition to the blank group,the BSA+CCl4+LPS group was used.At the end of 12 weeks,two rats were randomly selected for verification,and the model was successfully established.The 34 model rats were randomly divided into 3 groups:the model group(n=10),prednisone group(n=12),and GTW group(n=12).Urine,blood and kidney tissues were harvested 4 weeks after drug administration.Urinary erythrocyte number,24-h urinary protein quantification(24 h-UTP),alanine transaminase(ALT),serum albumin(ALB),urea nitrogen(BUN),and blood creatinine(SCr)were performed for each group;the protein expression of SIRT1,Nrf2,HO-1 and PINK1 was detected by Western blotting analysis;real-time polymerase chain reaction(RT-PCR)detection of SIRT1,Nrf2,HO-1 and PINK1 mRNA expression in rat kidney tissue;and detection of IgA deposition in the renal mesangial area by immunofluorescence.Kidney histopathological changes were observed in all the rats by hematoxylin-eosin(HE)staining.Results The results compared with those in the blank group,the urinary red blood cell count and 24 h-UTP,ALT,BUN,and SCr levels were significantly greater(P<0.01);The ALB level was significantly lower(P<0.01);renal tissue SIRT1,Nrf2,HO-1,PINK1 protein and mRNA expression were significantly lower(P<0.01);IgA deposition in the mesentery was obvious;renal pathological damage was severe;and the difference was statistically significant. Compared with those in the model group,urinary red blood cell counts and 24 h-UTP,ALT,BUN,and SCr levels in the prednisone and GTW groups were significantly lower (P<0.01);ALB levels were significantly greater (P<0.01);SIRT1,Nrf2,HO-1,PINK1 protein and mRNA expression were significantly greater (P<0.01);IgA deposition in the mesangial area was reduced,and renal pathology was improved,with statistically significant difference. Conclusions GTW may alleviate oxidative stress injury,protect renal function,and improve renal injury by activating the SIRT 1/Nrf 2/HO-1 signaling pathway.

Objective To construct the machine learning models based on the radiomic features of non-contrast and enhanced CT and to evaluate the predictive value in the risk stratification of gastrointestinal stromal tumor(GIST).Methods A total of 182 patients with pathologically confirmed GIST were randomly divided into a training set and a validation set at a ratio of 7∶3.The volume of interest(VOI)was outlined in the non-contrast phase,arterial phase and venous phase,and its radiomic features were extracted.The most valuable radiomic features were selected using the least absolute shrinkage and selection operator(LASSO)algorithm.The logistic regression(LR)classifier was used to construct the prediction models based on single-phase or multi-phase images.The predictive efficacy of the different models was compared by using receiver operating characteristic(ROC)curves.Results Four,three,and four radiomic features were selected in the non-contrast phase,arterial phase and venous phase,and 4 models were constructed in total.Among the single-phase models,the venous phase had better predictive efficacy,with the area under the curve(AUC)of 0.932[95％confidence interval(CI)0.873-0.969]and 0.924(95％CI 0.819-0.979)in the training and validation sets.The predictive efficacy of the combined model was improved,with the AUC of 0.946(95％CI 0.891-0.978)and 0.938(95％CI 0.838-0.986).Conclusion The venous phase model can predict the risk stratification of GIST accurately,and the prediction efficacy can be improved by combining the non-contrast and arterial phases.

Objective:To investigate the accuracy of resting energy expenditure(REE)prediction formulas and to develop a new REE prediction formula suitable for hospitalized older adults.Methods:Older adults hospitalized in the Department of Geriatrics from October 1, 2022, to November 31, 2022, were included in the study.The predicted values of REE(pREE)were estimated using 13 commonly employed formulas that incorporate parameters related to resting energy expenditure, such as gender, age, body mass index(BMI), and body weight.Indirect calorimetry measurements(mREE)served as the gold standard for comparison.Group differences between pREE and mREE, the coefficient of concordance( ICC), and accuracy(defined as±10% of the mREE values)were utilized to evaluate the performance of the formulas.The ten-fold cross-validation method was employed to identify valid variables and to construct a new prediction formula.The performance of this new formula was compared to mREE, the Harris-Benedict formula, the European Society of Clinical Nutrition and Metabolism(ESPEN)formula, and the Chinese Society of Clinical Nutrition and Metabolism(CSPEN)formula. Results:A total of 223 hospitalized participants aged 60 to 98 years(mean age 79.5±8.2 years)were included in the study.Among these participants, 49.3%(110 cases)were male, and the prevalence of frailty was approximately 84.3%(188 cases).The median difference between pREE and mREE ranged from 9.1 to 232.1 kcal/d.The predictions from the Harris-Benedict, ESPEN, and CSPEN equations differed significantly from mREE(all P<0.05), with respective accuracies of 30.9%, 31.4%, and 24.7%.A new equation was developed: pREE=794.847+ 8.661×body weight -7.976 × age+ 14.757 ×grip strength+ 5.037 × heart rate, with an ICC of 0.6(95% CI: 0.5-0.7), and the accuracy reached 56.3%. Conclusions:Existing equations demonstrate low accuracy in predicting REE among hospitalized older adults.The newly developed equation shows improved performance compared to previous models and can serve as a reference method for predicting REE in this demographic.

Oral diseases, such as periodontitis, salivary gland diseases, and oral cancers, significantly challenge health conditions due to their detrimental effects on patient's digestive functions, pronunciation, and esthetic demands. Delayed diagnosis and non-targeted treatment profoundly influence patients' prognosis and quality of life. The exploration of innovative approaches for early detection and precise treatment represents a promising frontier in oral medicine. Exosomes, which are characterized as nanometer-sized extracellular vesicles, are secreted by virtually all types of cells. As the research continues, the complex roles of these intracellular-derived extracellular vesicles in biological processes have gradually unfolded. Exosomes have attracted attention as valuable diagnostic and therapeutic tools for their ability to transfer abundant biological cargos and their intricate involvement in multiple cellular functions. In this review, we provide an overview of the recent applications of exosomes within the field of oral diseases, focusing on inflammation-related bone diseases and oral squamous cell carcinomas. We characterize the exosome alterations and demonstrate their potential applications as biomarkers for early diagnosis, highlighting their roles as indicators in multiple oral diseases. We also summarize the promising applications of exosomes in targeted therapy and proposed future directions for the use of exosomes in clinical treatment.
Humans ; Exosomes ; Quality of Life ; Extracellular Vesicles ; Biomarkers ; Cell Communication ; Mouth Neoplasms

Objective:To develop and evaluate a nomogram prediction model for poor outcome in patients with minor acute ischemic stroke (MIS) at 90 days after onset.Methods:Patients with MIS admitted to the Second People's Hospital of Hefei from January 2022 to June 2023 were retrospectively enrolled. At 90 days after onset, the modified Rankin Scale was used for outcome evaluation. <2 points were defined as good outcome and ≥2 points were defined as poor outcome. Multivariate logistic regression analysis was used to identify independent risk factors for poor outcome, and a nomogram prediction model was developed based on these factors. Results:A total of 177 patients with MIS were included, of which 61 (34.46%) had poor outcome. Multivariate logistic regression analysis showed that hypertension (odds ratio [ OR] 3.484, 95% confidence interval [ CI] 1.378-8.810; P=0.008), diabetes ( OR 2.936, 95% CI 1.301-6.625; P=0.009), National Institutes of Health Stroke Scale (NIHSS) score at admission ( OR 2.936, 95% CI 1.027-1.709; P=0.031) and systolic blood pressure at admission ( OR 1.083, 95% CI 1.053-1.115; P<0.001) were the independent risk factors for poor outcome. The established nomogram prediction model had a C-index of 0.828 and the area under the curve was 0.841 (95% CI 0.778-0.891). The calibration curve fitted well with the ideal curve. The clinical decision curve showed that the model had stronger clinical applicability. Conclusions:Hypertension, diabetes, NIHSS score and systolic blood pressure at admission are independent risk factors for poor outcome of patients with MIS. The nomogram based on the above factors has higher discriminative power and clinical value for predicting poor outcome in patients with MIS.

Post-stroke depression (PSD) is an important mental complication of stroke, affecting nearly 1/3 of stroke patients, seriously affecting patients' functional recovery and quality of life, and is associated with increased mortality of stroke patients. Traditional antidepressant treatments include medication and psychotherapy, but there may be problems with adverse reactions, tolerance, or limited effectiveness. Repetitive transcranial magnetic stimulation (rTMS), as a non-invasive neuroregulatory technique, offers a new treatment option for patients with PSD. This article reviews the application of rTMS in the treatment of PSD and its possible mechanism.