Objective:To analyze the influencing factors for depression in primary school children aged 9-10 years in Jiangsu Province, and to construct a risk prediction model.Methods:A retrospective study.A total of 1 162 primary school children aged 9-10 years from 3 primary schools in 3 regions of Jiangsu Province were recruited.Their demographic data were collected, and they were surveyed by the Depression Anxiety Stress Scales-21 (DASS-21), the Strengths and Difficulties Questionnaire (SDQ), and the Family Environment Scale (FES). Children were divided into control group (1 059 cases) and depression group (103 cases) based on the depression scores obtained from the DASS-21 scale.Multivariate Logistic regression analysis was used to analyze the influencing factors for depression in primary school students aged 9-10 and construct a risk prediction model. Results:There were significant differences in the economic development region, physical activities, academic performance, student cadres, parents′ education level, frequency of parental quarrels, SDQ and FES dimension scores between control group and depression group (all P<0.05). Among them, economic development areas (Northern Jiangsu and Southern Jiangsu), student cadres, father′s education level (elementary school and below) and intimacy of the FES scale were protective factors for depression in elementary school children; while emotional symptoms, peer problems and the total difficulty score in the SDQ scale, and the conflict in the FES scale were the risk factors for depression in elementary school children.The prediction model was created based on the influencing factors: Logit ( P)=-1.390×economic development area (Northern Jiangsu) -1.508×economic development area (Southern Jiangsu) -1.248×student cadres -2.206×father′s education level (primary school and below) -1.145×father′s education level (junior high school)+ 3.316×emotional symptoms in the SDQ+ 0.979×peer problems in the SDQ+ 2.520×total difficulty score in the SDQ -1.697×cohesion in the FES + 0.760×conflict in the FES -0.678.The area under the curve of receiver operating characteristic was 0.931, with the sensitivity and specificity of 85.42% and 91.83%, respectively. Conclusions:The regional level of economic development, class or school cadres, father′s education level, peer problems, total difficulty score, cohesion and conflict in the family are influencing factors for depression among primary school children aged 9-10 years in Jiangsu Province.The created prediction model can effectively assess the depressive risk factors in this population, which is conductive to achieve the early recognition and intervention of depression in them.

Objective To investigate the application prospect of the most extensive genome engineering pig internationally in preclinical xenotransplantation. Methods Porcine endogenous retrovirus (PERV) knockout combined with 3 major heterologous antigen gene knockouts and 9 humanized genes for inhibition of complement activation, regulation of coagulation disorders, anti-inflammatory and anti-phagocytosis were transferred into a pig (PERV-KO/3-KO/9-TG) as a donor, and the heart, liver and kidney were obtained and transplanted to 3 Rhesus macaque recipients respectively to establish a preclinical research model of pig-to-Rhesus macaque xenotransplantation. The functional status of xenografts after blood flow reconstruction was observed and the survival of recipients was summarized. The hemodynamics of xenografts were monitored. The change of hematological indexes of each recipient was compared. The histopathological manifestation of xenografts was observed. Results After the blood flow was reconstructed, all xenografts showed ruddy color, soft texture and good perfusion. The transplant heart, liver and kidney showed full arterial and venous blood flow and good perfusion at 1 d after operation. The postoperative survival time of heart, liver, and kidney transplant recipients was 7, 26, and 1 d, respectively. The levels of creatine kinase, creatine kinase isoenzyme, and lactate dehydrogenase increased in heart transplant recipient at 1 d after operation, and gradually recovered to near normal levels at 6 d after operation. All indexes increased sharply at 7 d after operation. The level of aspartate aminotransferase increased in liver transplant recipients at 2 d after operation, and the alanine aminotransferase basically returned to normal at 10 d after operation, but the total bilirubin continued to increase. Both aspartate aminotransferase and alanine aminotransferase increased at 12 d after operation, and reached a peak at 15 d after operation. The kidney transplant recipient developed mild proteinuria at 1 d after operation, and died of sudden severe arrhythmia. Histopathology showed that the tissue structure of cardiac and renal xenografts was close to normal, and liver xenografts presented with patchy necrosis, the liver tissue structure was disordered, accompanied by inflammatory damage, interstitial hemorrhage and thrombotic microangiopathy. Conclusions PERV-KO/3-KO/9-TG pig shows advantages in overcoming hyperacute rejection, mitigating humoral rejection and coagulation dysregulation. However, whether it can be used as potential donor for clinical xenotransplantation needs further evaluation.

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.