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.

Abstract: This study aims to find out the causes for the dissolution of unqualified samples found during evaluation sampling of lansoprazole enteric-coated preparations by the laser infrared imaging system and orbitrap high resolution mass spectrometry, with suggestions for improvement. Lansoprazole enteric-coated preparations were tested by current standard, the dissolution of a batch of samples was below the limit and other items were in line with the standard. Considering that this product is unstable to acid and alkali, the following exploratory experiments were designed from different dimensions, based on the conclusion of the unannounced inspection of the company, to explore the reasons for the unqualified batch, including the influence of high-temperature and high-humidity storage environment on the key quality properties of the sample, the influence of 2-hour acid resistance test on dissolution result, the imaging of the core and the measure of coating layer thickness, the optimization of chromatographic conditions of related substances, and the analysis of the source of impurities. It was found that improper storage in circulation and poor coating process caused the low dissolution of this batch: the high-temperature and high-humidity storage environment possible in the circulation process led to the decreasing efficacy of disintegrating agent in the samples and thus the difficulty to release the active pharmaceutical ingredient fully; the coating solution could not be uniformly sprayed on the core, resulting in thin isolation layer and different thickness, which then affected the protection of the main drug against acid degradation. The above two reasons together resulted in unqualified dissolution of this batch. The overall quality of lansoprazole enteric-soluble preparation is good, but the formulation and process in some companies need to be optimized; and the temperature and humidity in the circulation process need to be controlled in strict accordance with the regulations.

Objective To investigate the utility of dual-energy CT combined with musculoskeletal ultraso-nography in differentiating between calcium pyrophosphate deposition disease and gouty arthritis.Methods A retro-spective analysis was conducted on the medical records of 102 patients diagnosed with gouty arthritis and 102 patients diagnosed with calcium pyrophosphate deposition disease.These patients were categorized into the Gout group and Calcium Deposition group,respectively,based on their respective diagnoses.All patients underwent dual-energy CT and musculoskeletal ultrasonography examinations,while joint fluid aspiration results or intra-articular crystal material served as the gold standard for diagnosis.The diagnostic efficacy of dual-energy CT and musculoskeletal ultrasonography in discriminating between calcium pyrophosphate deposition disease and gouty arthritis was evalu-ated.Results In the gout group,the proportion of male patients and serum uric acid levels were significantly higher compared to those in the calcium deposition group(P<0.05).The prevalence rates of knee joint,first metatarsopha-langeal joint,and ankle joint involvement were higher in the gout group,while knee joint,wrist joint,and shoulder joint involvement rates were higher in the calcium deposition group.The proportions of irregular bone cortex,carti-lage injury,and degenerative meniscus changes were lower in the gout group compared to the calcium deposition group(P<0.05).The proportions of double contour sign,tophus formation,hyperechoic band within ligaments or tendons,and bone erosion were higher in the gout group compared to the calcium deposition group(P<0.05),whereas cartilage calcification was lower in the gout group(P<0.05).The sensitivities for diagnosing calcium pyrophosphate deposition disease and gouty arthritis using dual-energy CT scan alone,musculoskeletal ultrasound alone,and their combined use were 86.27%,83.33%,and 94.12%respectively.The specificities for diagnosing these conditions using dual-energy CT scan alone,musculoskeletal ultrasound alone,and their combined use were 89.22%,88.24%,and 86.27%respectively.The positive predictive values were 88.89%,87.63%,and 87.27%,respectively.The negative predictive values were 86.67%,84.11%,and 93.63%,respectively.The accuracies were 87.75%,85.78%,and 90.20%respectively.The agreement Kappa values were 0.755,0.716,and 0.804 respectively.Conclusions The integration of dual-energy CT and musculoskeletal ultrasonography exhibits promising diagnostic efficacy in discriminating between calcium pyrophosphate deposition disease and gouty arthritis.This combined approach serves as a valuable adjunctive tool for the diagnosis of both conditions.

Objective To summarize the best evidence on nonpharmacological prevention of postpartum depression and to provide the evidence-based basis for clinic and community to implementing non-pharmaco-logical prevention of postpartum depression.Methods The evidences such as related clinical decision making,guidelines,expert consensus,systematic reviews,etc.on non-pharmacologic prevention and management of postpartum depression were systematically retrieved from computer decision system,the guidelines websites,Chinese and English databases and related society websites.The retrieval time was from the database establis-ment to April,2023.Results A total of 23 papers were included,among them,there were 2 clinical decisions,3 guidelines,1 expert consensus and 15 systematic evaluations,2 evidence summaries.Six aspects of non-phar-macological prevention of postpartum depression were summarized,including building multidisciplinary teams,screening and evaluation,psychological intervention,social support,exercise intervention,and self-care,and 23 pieces of evidence were extracted.Conclusion This study summarizes the best evidence for the preven-tion of postpartum depression,suggesting early identification of high-risk groups and the medical staff should provide personalized and comprehensive prevention and intervention programs for postpartum depression ac-cording to the risk factors existing in parturient,so as to reduce the incidence of postpartum depression and re-duce the burden of society and families.

Langerhans cell histiocytosis (LCH) is a group of unexplainable abnormal proliferation and aggregation of Langerhans cell. LCH can be classified into four clinical variants: Letterer-Siwe disease, Hand-Schüller-Christian disease, eosinophilic granuloma, and congenital self-healing LCH. LCH is most prevalent in children. Lesions can be localized in a single system or multiple organs, and clinical manifestations vary depending on the affected organs. The skin and mucocutaneous tissues are the starting point of the affected tissue. This study presents a LCH case characterized by transient self-healing. This case can further provide references for the clinical diagnosis and treatment of LCH.
Child ; Humans ; Histiocytosis, Langerhans-Cell/therapy* ; Diagnosis, Differential

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.

Background/Aims: The accuracy of endosonographers in diagnosing gastric subepithelial lesions (SELs) using endoscopic ultrasonography (EUS) is influenced by experience and subjectivity. Artificial intelligence (AI) has achieved remarkable development in this field. This study aimed to develop an AI-based EUS diagnostic model for the diagnosis of SELs, and evaluated its efficacy with external validation. Methods: We developed the EUS-AI model with ResNeSt50 using EUS images from two hospitals to predict the histopathology of the gastric SELs originating from muscularis propria. The diagnostic performance of the model was also validated using EUS images obtained from four other hospitals. Results: A total of 2,057 images from 367 patients (375 SELs) were chosen to build the models, and 914 images from 106 patients (108 SELs) were chosen for external validation. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the model for differentiating gastrointestinal stromal tumors (GISTs) and non-GISTs in the external validation sets by images were 82.01%, 68.22%, 86.77%, 59.86%, and 78.12%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy in the external validation set by tumors were 83.75%, 71.43%, 89.33%, 60.61%, and 80.56%, respectively. The EUS-AI model showed better performance (especially specificity) than some endosonographers.The model helped improve the sensitivity, specificity, and accuracy of certain endosonographers. Conclusions We developed an EUS-AI model to classify gastric SELs originating from muscularis propria into GISTs and non-GISTs with good accuracy. The model may help improve the diagnostic performance of endosonographers. Further work is required to develop a multi-modal EUS-AI system.