Objective: To investigate the mental health status and related factors among primary and secondary school students in western Yunnan Province, so ao to provide scientific evidences for advancing mental health education. Methods: In June 2024, a stratified cluster sampling method was employed to select 4 584 students from 18 schools across Diqing Tibetan Autonomous Prefecture, Lincang City and Baoshan City three regions in western Yunnan Province. The Mental Health Test (MHT) was used for assessment. Latent class analysis (LCA) and Logistic regression were applied for data classification and related factor analysis respectively. Results: The overall positive detection rate of MHT was 11.81%, with a mean total score of 40.50±19.25. The predominant issues were learning anxiety (58.4%), hypersensitivity tendency (31.1%), and self blame tendency (23.1%). LCA categorized students into four groups:severe psychological problems group (74.4% detection rate), learning anxiety hypersensitivity group ( 16.4 %), learning anxiety physical symptoms group (9.2%), and healthy group (0). Logistic regression revealed that compared with the healthy group, the severe problems group showed higher risks among females ( OR =3.01), junior/senior high school students ( OR =1.88/4.02), and those with authoritarian parenting ( OR =3.54); the anxiety hypersensitivity group had higher risks for females ( OR =1.87), senior high students ( OR =1.54), boarders ( OR =1.31), and authoritarian parenting recipients ( OR = 1.85 ); the anxiety physical symptoms group demonstrated increased risks among females ( OR =2.22), senior high students ( OR =2.58), and authoritarian parenting recipients ( OR =2.74), while lower risks were observed for students with parent/grandparent guardians ( OR =0.38) and non only children ( OR =0.58) (all P <0.05). Conclusions Mental health problems are prominent among students in western Yunnan, with gender, grade level, boarding status, guardian type, and parenting style being key determinants. Recommendations include strengthening mental health education, prioritizing left behind children s psychological well being and promoting healthy development.

Objective:To construct a risk model of liver injury related to parenteral nutrition (PNALD) in patients with severe acute pancreatitis (SAP).Methods:The clinical data of 176 SAP patients admitted to the 971 Hospital of Navy from January 2019 to August 2021 were retrospectively collected. According to whether PNALD occurred or not, the patients were divided into liver injury group ( n=33) and non-liver injury group ( n=143). Multivariate logistic regression was used to analyze the influencing factors of PNALD in SAP patients. Then decision tree model and multivariate logistic regression model were established based on the screened risk factors. Hosmer and Lemeshow Test calibration curves were used to calibrate the two models, and receiver operating characteristic curve (ROC) was drawn and area under the curve (AUC) was calculated to compare the prediction efficiency of the two models. Results:Drinking history (history of alcohol intake), serum albumin / globulin ratio ≤1.45, prothrombin time (PT)≥18.52 s, PT activity ≤48.96, activated partial thromboplastin time (APTT) ≥45.91 s were all risk factors for PNALD. The ROC curve of the multivariate logistic regression model and the decision tree model was drawn, and calculated AUC of the two models was 0.851 and 0.906, respectively; the sensitivity was 79.6% and 80.8%, respectively; the specificity was 80.5% and 79.6%, respectively; and the Youden index was 0.601 and 0.604, respectively, with good consistency.Conclusions:Low serum albumin/globulin ratio and PT activity, high PT and APTT are all risk factors for PNALD. The PNALD prediction model based on the above risk factors has high specificity and sensitivity.

Objective:To analyze the incidence and clinical phenotype of the concomitant extragenital malformations in the patients with female reproductive tract anomalies.Methods:A retrospective study was conducted using clinical data of hospitalized patients diagnosed with uterine, cervical, or vaginal malformations from January 2003 to December 2022 in Peking Union Medical College Hospital. The malformations were classified according to American Society for Reproductive Medicine müllerian anomalies classification 2021, and in each type, the incidence and specific manifestations of concomitant extragnital malformations were analyzed.Results:A total of 444 patients were included. The overall incidence of concomitant extragenital malformations was 43.5% (193/444), including urinary system, skeletal system, and other system malformations. Renal malformations on the obstructed side were present in all patients with oblique vaginal septum syndrome (100.0%, 78/78). The total incidence of concomitant extragnital malformations was as high as 8/11 in uterus didelphys, 43.5% (10/23) in unicornuate uterus, 33.6% (79/235) in Mayer-Rokitansky-Küster-Hauser syndrome, 18.8% (6/32) in septate uterus and 18.5% (12/65) in cervical agenesis. Urinary system malformations (30.6%, 136/444) and skeletal system malformations (13.5%, 60/444) were the most common concomitant malformations in all types, in which, unilateral renal agenesis and scoliosis were the most common.Conclusions:Urinary and skeletal system malformations are important features of female reproductive tract anomalies. Urologic ultrasonography and spinal roentgenogram are recommended for all patients with female reproductive tract anomalies.

Objective To explore the diagnostic value of deep medullary vein (DMV) score for cognitive impairment in patients with cerebral small vessel disease (CSVD).Methods Collect clinical and imaging data of 108 patients who visited Lishui Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University from May 2022 to December 2023.According to the mini-mental state examination,patients were divided into a cognitive impairment group (36 cases) and a cognitive function normal group (72 cases).On magnetic sensitive images,the DMV scores of the six regions on both sides of the frontal lobe,parietal lobe,occipital lobe are rated from 0 to 3 points based on their visual conditions,and the total scores of the six regions is the DMV score (0 to 18 points).Applying international CSVD guidelines to assess CSVD burden in patients.Analyze the correlation between DMV score and cognitive impairment,and compare the diagnostic value of DMV scores and CSVD score for cognitive impairment.Results The median CSVD burden score of 108 patients was 1 (0,2) points,and the median DMV score was 4 (1,9) points.The DMV score was positively correlated with the presence of cognitive impairment (r=0.525,P<0.001).There were statistically significant differences in age,cerebral microbleeds,perivascular space enlargement,white matter hyperintensities,CSVD burden,and DMV score between the cognitive impairment group and the cognitive function normal group (P<0.05).The area under the receiver operating characteristic curve of diagnosed with cognitive impairment using DMV score was 0.820 (95％CI:0.741-0.898,P<0.001).Conclusion DMV score is positively correlated with CSVD cognitive impairment,and it has certain predictive value for cognitive impairment.

Objective The Kellinghaus grading method was used to manually read and grade the thin-layer CT of sternal end of clavicle,and a variety of traditional statistical methods as well as machine learning methods were used to construct age estimation models for adolescents and adults in early adulthood,to explore the value of the application of machine learning technology in the study of age estimation of the Han Chinese population in Sichuan.Methods Thin-section CT images of the chest were retrospectively collected from 491 individuals aged 10～30 years,and the collected samples were assigned a reading grade with reference to the Kellinghaus grading method.10%of the xases were randomly selected as the test set,and the remaining data were used as the training set to construct a variety of traditional statistical regression models and machine learning models for estimating the age of adolescents and adults in early adulthood,and the performance of the models was evaluated by using the mean absolute error(MAE).Results The statistical regression model with the best efficacy was the cubic regression model,with an MAE value of 1.34 for males and 1.57 for females;of the three machine learning models,the Random Forest model had the best predictive efficacy for males,with an MAE value of 1.39,and the Support Vector model had the best predictive efficacy for females,with an MAE value of 1.51.Conclusion In the construction of age estimation models for sternal end of clavicle,the machine learning model has a certain improvement in the accuracy of age prediction,but there is no obvious advantage compared with the traditional statistical regression model,and the use of the machine learning method in age estimation based on sternal end of clavicle still needs further exploration.

The fall armyworm (FAW), Spodoptera frugiperda, is a destructive pest native to America and has recently become an invasive insect pest in China. Because of its rapid spread and great risks in China, understanding of FAW genetic background and pesticide resistance is urgent and essential to develop effective management strategies. Here, we assembled a chromosome-level genome of a male FAW (SFynMstLFR) and compared re-sequencing results of the populations from America, Africa, and China. Strain identification of 163 individuals collected from America, Africa and China showed that both C and R strains were found in the American populations, while only C strain was found in the Chinese and African populations. Moreover, population genomics analysis showed that populations from Africa and China have close relationship with significantly genetic differentiation from American populations. Taken together, FAWs invaded into China were most likely originated from Africa. Comparative genomics analysis displayed that the cytochrome p450 gene family is extremely expanded to 425 members in FAW, of which 283 genes are specific to FAW. Treatments of Chinese populations with twenty-three pesticides showed the variant patterns of transcriptome profiles, and several detoxification genes such as AOX, UGT and GST specially responded to the pesticides. These findings will be useful in developing effective strategies for management of FAW in China and other invaded areas.
Animals ; China ; Genomics ; Humans ; Male ; Pesticides ; Spodoptera/genetics* ; Transcriptome

Objective:To evaluate the barrier-free level of village clinics of a city in the aging era, for references in improving the barrier-free medical environment for the elderlies.Methods:The village dectors of 156 village clinics in 12 counties of a city were selected as the objects of a questionnaire survey from Dec.2020 to Jan.2021, with 6 evaluation indexes established, each set with 1-10 points. This questionnaires was used to survey the barrier-free construction levels of village clinics. The data were statistically analyzed by rank sum ratio and quadrant graph model.Results:The barrier-free buildings of such clinics scored 32.86 points in average. Among the six indexes, the barrier-free access and doors(7.21 points) scored the highest, and the barrier-free parking space(4.71points) and toilets(3.28 points) scored the lowest. All the counties of the city fell into four categories, including 2 counties with high degree of aging-high level of accessibility, 4 counties with low degree of aging-high level of accessibility, 4 counties with low degree of aging-low level of accessibility, and 2 counties with high degree of aging-low level of accessibility, according to the quadrant graph model built based on the aging degrees and the barrier-free levels of village clinics.Conclusions:The barrier-free level of the village clinics in a city needs to be further improved, and the barrier-free transformation of parking space and toilets should also be strengthened in the future. The government should take different measures in view of conditions of each county to improve the accessibility of village clinics and facilitate the health care-seeking of elderlies.

Objective: To buildSERPING1-knockout porcine fetal fibroblasts(PFFs) based on CRISPR/Cas9 technology and provide cell experimental materials for the construction of hereditary angioedema models. Methods: Firstly, protein structure prediction software was used to analyze the amino acid homology between human and pigSERPING1. Secondly, the eighth exon was selected as the knockout target by screening the effective coding region of the pigSERPING1gene. A single guide RNA targeting pigSERPING1was designed, synthesized and linked to pX330 vector containing Cas9 endonuclease. G418 was used to obtain the positive monoclonal cells after transfection into PFFs. Finally, the circumstance of CRISPR/Cas9 mediated knockout was assessed by the T7 EN1 enzyme digestion assay and the genotypes of monoclonal cells were identified by sequencing analysis Results: Bioinformatic analysis revealed that theSERPING1protein of human and pig had high homology, amino acid sequence identity reached 65.87%. A vector targetingSERPING1was constructed successfully and transfected into cells. Monoclonal cells with knockoutSERPING1gene were obtained through drug screening. Sequencing confirmed the mutant genotype. Conclusion The human and pigSERPING1sequences and their protein structures are highly homologous, and it is suitable for the construction of disease model. CRISPR/Cas9 expression vectors were constructed to achieve theSERPING1gene targeting in PFFs.SERPING1-knockout monoclonal cells were obtained, which could contribute to the construction of theSERPING1knockout miniature pig model.

Objective:To evaluate the feasibility of a new ultrasonic parameter to assess right ventricular-pulmonary artery (RV-PA) coupling in patients with acute pulmonary embolism (APE).Methods:A retrospective analysis was performed in 140 patients with APE diagnosed by computed tomography pulmonary angiography (CTPA) in the Second Affiliated Hospital of Harbin Medical University from August 2017 to June 2020. According to the tricuspid annular plane systolic excursion/pulmonary arterial systolic pressure (TAPSE/PASP) ratio cutoff value 0.40 mm/mmHg reported by the European Society of Cardiology in 2020, the patients were divided into the coupling group ( n=99) and the uncoupling group ( n=41). The conventional ultrasonic parameters of the 2 groups were measured, and then several ultrasonic parameter ratios were obtained. The new ultrasonic parameter, which can replace the TAPSE/PASP ratio, was screened out by Spearman correlation analysis, and ROC curve was plotted to calculate the diagnostic efficacy of this parameter. Results:①Compared with the coupling group, patients in the uncoupling group were older and more likely to be accompanied by dyspnea and venous thrombosis in the lower extremities (all P<0.05), but there was no significant difference in other general data(all P>0.05); ②Compared with the coupling group, tricuspid regurgitation velocity (TRV), tricuspid regurgitation pressure gradient(TRPG), PASP, right ventricle end-diastolic transverse diameter(RVTD), inferior vena cava(IVC) diameter and the ratio of early diastolic tricuspid inflow to tricuspid lateral annular velocity(E/e′), in the uncoupling group increased significantly (all P<0.05), and TAPSE, peak systolic velocity of tricuspid annulus(s′), TAPSE/PASP ratio, TAPSE/TRPG ratio, TAPSE/RVTD ratio and s′/TRPG ratio decreased significantly (all P<0.05); ③The TAPSE/TRPG ratio was highly correlated with TAPSE/PASP ratio ( rs=0.970, P<0.001); The TAPSE/TRPG ratio was still highly correlated with TAPSE/PASP ratio in the uncoupling and coupling groups ( rs=0.966, 0.922; all P<0.001). ④ROC analysis showed that the area under curve for TAPSE/TRPG in diagnosing RV-PA coupling was 0.992. At the cutoff of TAPSE/TRPG <0.625 mm/mmHg for indicating RV-PA coupling, the sensitivity and specificity were 97.6% and 92.9%, respectively. Conclusions:TAPSE/TRPG ratio can be used as a new ultrasonic parameter to reflect RV-PA coupling, which is helpful for clinical identification of APE patients with high risk and poor prognosis.

Licorice has long been regarded as one of the most popular herbs, with a very wide clinical application range. Whether being used alone or as an ingredient in prescription, it has an important role which cannot be ignored. However, the efficacy and chemical constituents of licorice will change after honey-processing. Therefore, it is necessary to find quality markers before and after honey-processing to lay the foundation for a comprehensive evaluation of the differences between raw and processed licorice pieces. HPLC-DAD was employed to establish fingerprints of raw and processed licorice. Multivariate statistical analysis methods including principal component analysis(PCA) and orthogonal partial least squares discrimination analysis(OPLS-DA) were applied to screen out the differential components before and after processing of licorice. Based on network pharmacology, the targets and pathways corresponding to the differential components were analyzed with databases such as Swiss Target Prediction and Metascape, and the "component-target-pathway" diagram was constructed with Cytoscape 3.6.0 software to predict the potential quality markers. A total of 17 common peaks were successfully identified in the established fingerprint, and seven differential components were selected as potential quality markers(licoricesaponin G2, glycyrrhizic acid, liquiritigenin, liquiritin, isoliquiritin, liquiritin apioside and isoliquiritigenin). The HPLC fingerprint method proposed in this study was efficient and feasible. The above seven differential chemical components screened out as potential quality markers of licorice can help to improve and promote the overall quality. These researches offer more sufficient theoretical basis for scientific application of licorice and its corresponding products.
Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal ; Glycyrrhiza ; Glycyrrhizic Acid/analysis* ; Honey/analysis*