Objective:To observe the effects of Sanjia Powder on myocardial fibrosis in diabetic cardiomyopathy (DCM) model rats; To elaborate its mechanism.Methods:A DCM rat model was constructed using STZ single intraperitoneal injection combined with high-sugar and high-fat feeding. The model rats were divided into model group, TCM group, Western medicine group, miR-21 inhibition group, and miR-21 inhibition control group using a random number table method, with 10 rats in each group; another 10 SD rats were set as normal group. TCM group was orally administered with Sanjia Powder water decoction at a dose of 6.2 g/kg, and the Western medicine group was administered metformin 250 mg/kg + enalapril 45 mg/kg by gavage. miR-21 inhibition group, miR-21 inhibition control group, normal group, and model group were given the same volume of distilled water by gavage, once a day, for 4 weeks; at the same time, the normal group, the model group, TCM group, and the Western medicine group were injected with the same amount of normal saline in the tail vein. The miR-21 inhibition group received tail vein injection of miR-21 inhibitor at a dose of 20 mg/kg, and the miR-21 inhibition control group received tail vein injection of miR-21 inhibitor NC at a dose of 20 mg/kg, twice a week, for 4 weeks. The morphological changes of myocardial tissue were observed using HE; the expression of Collagen-Ⅰ in myocardial tissue was detected using Western Blot; the expressions of endothelial cell marker CD31 and stromal cell marker FSP1 in myocardial tissue were detected using immunofluorescence method.Results:Compared with the model group, the pathological morphology of myocardial tissue improved in the TCM group, Western medicine group, and miR-21 inhibition group, while the expressions of Collagen-Ⅰ and FSP1 decreased ( P<0.01) and the expression of CD31 increased ( P<0.01); there was no statistically significant difference in the expressions of Collagen-Ⅰ, CD31, and FSP1 between the TCM group and the miR-21 inhibition group ( P>0.05). Conclusion:Sanjia Powder can improve myocardial fibrosis in rats with diabetic cardiomyopathy, and its mechanism may be related to the up-regulation of CD31 expression and down-regulation of FSP1 expression, thereby inhibiting endothelial mesenchymal transition, and may also be related to the inhibition of miR-21 expression.

Objective:To explore the changes in acoustic features of 9-10-year-old primary school students with depressive symptoms, and based on these features and the random forest (RF) algorithm, construct a model for identifying depressive symptoms in primary school students, so as to provide an intelligent psychological health screening tool for schools and education departments.Methods:This was a case-control study.A total of 1 186 primary school students aged 9-10 from three primary schools in three regions of Jiangsu Province were selected as research subjects for psychological health screening from October 26, 2022 to February 13, 2023.Their demographic data, Depression-Anxiety-Stress Scale (DASS-21) scores, Insomnia Severity Index scores, and voice recordings were collected.Based on the DASS-21 scores, the participants were divided into a control group ( n=1 086) and a depression group ( n=100).Voice recordings were made using the neutral text " The North Wind and the Sun". openSMILE was used to extract 523 acoustic features from the pre-processed voice recordings.Group differences were assessed using independent-samples t-tests or chi-square tests.Pearson correlation analysis was conducted to examine the relationship between acoustic features and depression scores.Depressive symptoms were set as the dependent variable, and the correlated acoustic features were set as the independent variable to construct a classification model using the RF algorithm.The model performance was assessed using the receiver operating characteristic (ROC) curve, the area under the curve (AUC), precision, accuracy, recall, and F1 score. Results:Compared with the control group, the depression group showed significant differences in 105 acoustic features (44 spectral features, 49 source features, and 12 prosodic features) (all P<0.05).Correlation analysis showed that 12 acoustic features (7 spectral features, 4 source features, and 1 prosodic feature) were significantly correlated with the depression score (all P<0.05).Among the RF algorithm-based classification models, the spectral features demonstrated superior performance compared to source features and prosodic features (AUC=0.793), and the performance of the model based on the combination of these features was the best (AUC=0.818). Conclusions:Acoustic features may be an objective indicator to identify the depression of 9-10-year-old primary school students, and the classification model established based on acoustic features can identify the depressed primary school students.