Objective: To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students. Methods: From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models. Results: The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49，95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99，95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49，95% CI =14.22~35.59, P <0.01). Conclusion Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.

Here, we report a previously unrecognized syndromic neurodevelopmental disorder associated with biallelic loss-of-function variants in the RBM42 gene. The patient is a 2-year-old female with severe central nervous system (CNS) abnormalities, hypotonia, hearing loss, congenital heart defects, and dysmorphic facial features. Familial whole-exome sequencing (WES) reveals that the patient has two compound heterozygous variants, c.304C>T (p.R102*) and c.1312G>A (p.A438T), in the RBM42 gene which encodes an integral component of splicing complex in the RNA-binding motif protein family. The p.A438T variant is in the RRM domain which impairs RBM42 protein stability in vivo. Additionally, p.A438T disrupts the interaction of RBM42 with hnRNP K, which is the causative gene for Au-Kline syndrome with overlapping disease characteristics seen in the index patient. The human R102* or A438T mutant protein failed to fully rescue the growth defects of RBM42 ortholog knockout ΔFgRbp1 in Fusarium while it was rescued by the wild-type (WT) human RBM42. A mouse model carrying Rbm42 compound heterozygous variants, c.280C>T (p.Q94*) and c.1306_1308delinsACA (p.A436T), demonstrated gross fetal developmental defects and most of the double mutant animals died by E13.5. RNA-seq data confirmed that Rbm42 was involved in neurological and myocardial functions with an essential role in alternative splicing (AS). Overall, we present clinical, genetic, and functional data to demonstrate that defects in RBM42 constitute the underlying etiology of a new neurodevelopmental disease which links the dysregulation of global AS to abnormal embryonic development.
Female ; Animals ; Mice ; Humans ; Child, Preschool ; Intellectual Disability/genetics* ; Heart Defects, Congenital/genetics* ; Facies ; Cleft Palate ; Muscle Hypotonia

Objective: To understand current situation epidemiology and associated factors of suicidal ideation among high school students in Yixing, so as to provide basis for targeted intervention. Methods: From March to May 2019, a questionnaire survey was conducted on 12 799 students from 3 junior high schools and 4 senior high schools in Yixing City, Jiangsu Province, using a stratified cluster random sampling method. Latent profile analysis was used to classify suicidal ideation among high school students, the chi square test was used to compare the differences in suicidal ideation among different characteristics of students, multiple Logistic regression was used to analyze influencing factors, a risk predictive nomogram model was constructed and then verified. Results: Three latent classes of suicidal ideation among high school students was divided into three categories were observed: none or mild, moderate, and severe. Among them, 3 034 (23.7%) had moderate suicidal ideation and 753 (5.9%) had severe suicidal ideation. The Logistic regression results showed that gender was female, academic performance was lower midrange, smoking, drinking, popularity with classmates(less popular and unpopularity), family member relationships(general/occasional contradictions/contradictions), trust in others(more trusted/less trusted/less trusted at all), past or current relationships, physical bullying, relationship bullying, verbal bullying, and sexual bullying were the influencing factors for severe suicidal ideation among students ( OR =3.27； 2.18 ；1.63；1.72；2.66, 6.05；3.00,3.29, 6.38；1.71, 6.04, 12.48； 2.50； 1.59； 2.16； 1.45； 1.63, P <0.05). The nomogram prediction model had good discrimination. Conclusions Suicide ideation is influenced by multiple factors. Family and peer situations, as well as being bullied, are all related to the degree the severity of suicidal ideation. Efforts can be made to improve students family and interpersonal relationships, control bullying, then reduce their suicidal ideation which might help prevent suicide ideation among students.

Objective To evaluate the impact of the eastern healthy diet pattern (EHDP) on body weight, blood pressure, blood lipids, and glucose in type 2 diabetes mellitus (T2MD) patients and compare it with the effect of traditional diabetes diet (TDD). Methods A total of 140 inpatients with T2DM admitted to Chenzhou First People's Hospital from May 2022 to December 2022 were selected and randomly assigned to EHDP (n = 70) group or TDD group (n = 70). Both groups were served with three meals a day by the dietitian department of the hospital for 8 weeks. The TDD group followed the guidelines of the Chinese diabetes society, while the EHDP group optimized diversified food intake and increased aquatic products, olive oil, and dairy products. Results There was no statistically significant difference between the two groups of patients in baseline data including age, gender, blood pressure, blood glucose, and hypoglycemic and lipid-lowering treatment between the two groups (P value 0.238~0.795). After 8 weeks of dietary intervention, compared with before the intervention, the body weight, fasting blood glucose, 2-hour postprandial blood glucose, glycosylated hemoglobin, blood lipids and blood pressure of both groups showed statistically significant decreases (P<0.05). The reductions in weight, BMI, blood lipids, blood pressure and fasting blood glucose in the EHDP group were greater than those in the TDD group (P<0.05). Conclusion EHDP is better than the traditional diabetic diet in reducing blood glucose, weight, blood pressure, and blood lipids compared to traditional diets. Both diet patterns effectively improve 2h PG and HbA1c with no significant difference.

Objective: To investigate the changes of microorganisms and metabolites in joint effusion of patients with Rheumatoid arthritis(RA), Osteoarthritis(OA) and Urarthritis(UA). To provide new ideas for the study of the effect of microbiota on the pathogenesis of arthritis. Methods: Joint effusion samples were collected from 20 patients with RA, 20 patients with OA, and 20 patients with UA. 16S rRNA gene sequencing and untargeted ultra-high performance Liquid chromatography-mass spectrometry(LC-MS) were used to explore the differences in microorganisms and metabolites among the three groups. Pearson correlation analysis was used to detect the correlation between effusion microbiota and metabolites. Results: There were differences in microbial diversity and microbiota composition among the three groups. Combined with VIP>1 from OPLS-DA andP<0.05 from two-tailed Students t-test, 45 differential metabolites(Between RA and OA groups), 38 differential metabolites(Between UA and OA groups) and 16 differential metabolites(Between RA and UA groups), were identified. GO analysis and KEGG pathway analysis showed that the differential metabolic pathways among the three groups were mainly concentrated in citric acid cycle(TCA cycle), nucleotide metabolism, amino acid metabolism and glycolysis pathway. Correlation analysis of joint effusion microbiota and metabolites suggested that bacteria enriched in the three groups of joint effusion, such asPrevotella,Clostridium ruminosus,Prevotellaceae＿UCG-001, were related to many key metabolites such as lysozyme, uric acid, glucose, and L-glutamine. Conclusion This study shows that there are a variety of bacterial flora in joint cavity effusion of RA, OA, and UA patients, and the differential metabolites produced by them are involved in the pathogenesis of the three types of arthritis by affecting a variety of metabolic pathways.

OBJECTIVE To identify the key genes associated with lymph node metastasis in head and neck squamous carcinoma(HNSCC)and construct a prognostic model based on The Cancer Genome Atlas(TCGA)database.METHODS Differentially expressed genes(DEGs)between tumor tissues and normal tissues in the HNSCC dataset in the TCGA database were screened by R software,and gene modules related to lymph node metastasis were screened by weighted gene co-expression network(weighted gene co-expression network analysis,WGCNA).Prognostic risk models were constructed by univariate cox regression and Lasso regression analyses.Survival analyses and ROC curves were performed to verify the Reliability of prognostic models.CIBERSORT,TIMER and ESTIMATE algorithms analysed the differences in the tumor micro environment(TME)of different risk groups.RESULTS There were 2 565 DEGs screened,and a set of gene modules highly correlated with disease prognosis and lymph node metastasis were obtained by WGCNA analysis,and correlation analysis verified that the expression of genes in this gene module was highly correlated with lymph node metastasis.Univariate cox regression and Lasso regression were used to identify 6 key prognostic genes:CDKN2A,CCNE2,KNSTRN,AURKA,KPNA2,and ORC1.A prognostic model was constructed based on the 6 genes,and survival analysis showed that the prognosis of the high-risk group was significantly worse than that of the low-risk group(P<0.0001).The ROC curves demonstrated the good predictive performance of this prognostic model.CIBERSORT analyses revealed differences in the immune microenvironment of tumors in different risk groups.CONCLUSION The 6 key prognostic genes screened were helpful in predicting the prognosis of HNSCC patients and were closely associated with the immune microenvironment of HNSCC,suggesting that they may serve as potential therapeutic targets.

By consulting ancient materia medica， medical books， prescription books and modern literature， this paper systematically combed and reviewed the name， origin， scientific name evolution， producting area， quality evaluation， medicinal parts， harvesting and processing and traditional efficacy of Lasiosphaera Calvatia. The results show that Mabo was first recorded in Mingyi Bielu. Since then， all dynasties have taken Mabo as a legitimate name. Before the Song dynasty， only Calvatia lilacina was used as the original plant of Lasiosphaera Calvatia， which was expanded after the Song dynasty with the appearance of C. gigantea， Lasiosphaera fenzlii， Bovistella radicata and other varieties. Until modern times， there was an addition of Lycoperdon perlatum， L. pyriforme and other original plants of Lasiosphaera Calvatia. Since 1975， the original plant of Lasiosphaera Calvatia in various regulations and academic monographs has been basically uniform for C. lilacina， Lasiosphaera fenzlii and C. gigantea. Resource of the medicinal fungus was widely distributed in China and was mainly wild. From ancient times to the present， the medicinal parts of Lasiosphaera Calvatia are all fruiting body， which is harvested in summer and autumn， and its processing method was to take powder in ancient times， but to cut blocks in modern times. In recent times， its quality has been summarized as large， thin-skinned， intact， full， loose-bubbled and elastic. The medicinal efficacy has been developed from very good for all scores， and after the Ming and Qing dynasties， it is consistent with the 2020 edition of Chinese Pharmacopoeia， with the efficacy of clearing the lung， promoting pharynx， relieving fever and hemostasis， mainly treating cough aphonia， throat obstruction and pharyngeal pain， vomiting blood， epistaxis， hemoptysis， and external treating sores and bleeding from cuts and wounds. Based on the results of herbal textual research， it is suggested that C. lilacina is the first choice for the origin of Lasiosphaera Calvatia involved in famous classical formulas， and it is processed into block or powder for medicine.

Objective: To explore cyberbullying and risk factors of middle school students, and to provide a reference for cyberbullying prevention in school settings. Methods: A stratified cluster random sampling method was used to select 12 940 students from three junior high schools and four senior high schools in Yixing City of Jiangsu Province, China, to conduct a questionnaire survey from March 1 to May 31, 2019. The Chi -square test was performed to compare differences in the prevalence of cyberbullying among groups with different sociodemographic characteristics, and the multivariate Logistic regression model was employed to analyze the risk factors. A risk predictive nomogram model was constructed and then verified. Results: Middle school students were found to be victims of cyberbullying at a rate of 12.3%. The Logistic regression results showed that alcohol use ( OR =1.93), lack of emotional management ( OR =1.30), feeling unsafe ( OR =1.70), not trusting people ( OR =1.66), increased daily online time ( OR =1.39), higher frequency of using social software or websites ( OR =2.24), poor relationships with family members ( OR =1.46), parental neglect ( OR =1.50), class leadership ( OR =1.30) and poor relationships with classmates ( OR =1.34) were risk factors for middle school students who were victims of cyberbullying ( P <0.05). Based on these 10 independent risk factors, the nomogram prediction model, had good discrimination ( AUC =0.73). Conclusion Cyberbullying is common among middle school students. Internet use, parental neglect and class leadership all have an impact on cyberbullying.

Mice ; Animals ; Spiral Ganglion/physiology* ; Cochlea/physiology* ; Neurons

OBJECTIVE: Early bolting of Saposhnikovia divaricata has seriously hindered its medicinal value and sustainable development of resources. The molecular mechanism of bolting and flowering of S. divaricata is still unclear and worth of research. In our study, we explored the transcriptome of the genes related to the bolting and flowering of S. divaricata. METHODS: The transcriptome library was constructed, sequenced, assembled and annotated from the bolting and unbolting leaves of S. divaricata by high-throughput sequencing at the bud and flowering stage. Focus on the pathways related to bolting and flowering in plants, and exploring genes. The expression of seven candidate genes was verified by real-time fluorescence quantitative PCR (qRT-PCR). RESULTS: Transcriptome results showed that 249 889 422 high-quality clean reads were obtained. A total of 67 866 unigenes were assembled with an average length of 948.1 bp. Trinity de Novo assembly produced 67 866 unigenes with an average length of 948.1 bp. Among 993 differentially expressed genes, 484 genes were significantly up-regulated and 509 genes were down-regulated in the SdM group. A total of 79 GO terms were significantly enriched for differentially expressed genes. KEGG results showed that 11 154 unigenes were enriched in 89 pathways. And 21 candidate genes related to bolting and flowering of S. divaricata were excavated. The qRT-PCR results showed that expression trends of HDA9, PHYB, AP2, TIR1, Hsp90, CaM, and IAA7 were consistent with transcriptomic sequencing results. In addition, RNA-seq had identified 10 740 transcription factors and classified them into 58 families by their conserved domains. Further studies showed that the transcription factors regulating the flowering of S. divaricata were mainly distributed in the NAC, MYB_related, HB-other, ARF, and AP2 families. CONCLUSION Based on the results of this study, it was found that the plant hormone signal transduction pathway was one of the decisive factors to control bolting and flowering. Among them, auxin related genes IAA and TIR1 are the key genes in the bolting and flowering process of S. divaricata.