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.

BACKGROUND: Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment. METHODS: In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model. RESULTS: The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set. CONCLUSION The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans ; Rectal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Middle Aged ; Neoadjuvant Therapy/methods* ; Aged ; Adult ; Chemoradiotherapy/methods* ; Endoscopy/methods* ; Treatment Outcome

Objective This study analyzes the omics data resources in human-infecting coronavirus animal models collected from various public databases,focusing on data distribution,dataset quantity,data types,species,strains,and research content.It aims to enhance our understanding of biological characteristics and pathogenic mechanisms of coronaviruses,thereby providing a solid foundation for devising effective therapeutic strategies and preventive measures.Methods Query strategies,including specific virus names,time ranges,and inclusion and exclusion criteria,were defined to retrieve data from major public omics databases such as GEO and ArrayExpress.Secondary filtering was performed based on different field types to obtain a more accurate data list.An omics data text database was established for bibliometric analysis.Co-occurrence networks were constructed for the analysis of the correlation strengths between different research themes,technical methods,and involved species.The cell types,organs,and biological pathways involved in studies were examined to further elucidate the pathogenic interplay between pathogens and hosts.Results About twenty public databases containing coronavirus-related omics data were identified,with a primary focus on novel coronavirus infection.Commonly used species include humans,mice,hamsters,and monkeys,while the commonly used virus strains are Wuhan-Hu-1 and USA-WA1/2020.Lung tissues are primarily used in animal models such as mice,macaques,and ferrets,while airway epithelial cells and Calu-3 cells are predominantly employed in human-related studies.Expression profiling data indicate that gene pathways involved in inflammation,cytokine response,complement pathway,cell damage,proliferation,and differentiation are significantly upregulated after infection.Proteomics studies reveal significant changes in phosphoproteome,ubiquitinome,and total proteome of patient samples at different infection stages.Specific protein categories,including viral receptors and proteases,transcription factors,cytokines,proteins associated with coagulation system,angiogenesis-related proteins,and fibrosis markers,show alterations after coronavirus infection.In addition,metabolomics data suggest that phosphocholine,phosphoethanolamine,arachidonic acid,and oleic acid could serve as potential metabolic markers.Epigenomics research indicates m6A methylation plays a role in SARS-CoV-2 replication,infection,and transmission,affecting host cell-virus interactions.Among these,N,S,and non-structural proteins 2 and 3 exhibit the most significant ubiquitination.Trends in microbiomics research suggest that microbial communities in the gut and wastewater are emerging as new research focuses.Conclusion The data types of coronavirus omics are diverse,with a wide variety of models and cell types used.The selection of species and technical methods for modelling varies based on the characteristics of different viruses.Multi-omics data from animal models of coronavirus infection can reveal key interactions between hosts and pathogens,identifying biomarkers and potential therapeutic targets,and provide valuable information for a deeper understanding of biological characteristics and infection mechanisms of coronaviruses.

Jiangsu Provincial People's Hospital takes the reform of DRG payment method as an opportunity,based on the theory of incentive behavior,uses literature research,expert consultation,and key performance indicator methods to develop evaluation indicators,and applies PDCA management tools to establish a continuously improving medical insurance service quality evaluation system.It introduces the process of medical insurance service quality evaluation system construction and its application in medical insurance performance management,and analyzes the implementation effect:DRG operation is improving,disease group structure is optimized,medical quality and efficiency continue to improve,and medical service evaluation scores are improving.

Objective To explore the mediating effect of facial emotion recognition on prosocial behavior of medical students in mask-obscured scenes.Methods Fifty-three medical students from a medical university in Chongqing were enrolled from July to September 2023 to complete the facial emotion recognition task,the dictator gaming task and the state empathy test.Spearman correlation analysis was used to examine the correlation between mask wearing and state empathy,trait empathy and prosocial behaviours,and the PROCESS procedure was used to test the mediation of state empathy and the moderating effect of mask wearing or not.Results ①mask wearing,state empathy and prosocial behaviour were significantly correlated(P＜0.01);② State empathy exerted mediated effect between facial emotion recognition and prosocial behavior,with the largest effect size(47％)for the relative mediating effect of sadness;③The interaction terms of facial emotion recognition and mask wearing had a significant effect on state empathy(P＜0.05).Conclusion Facial emotion recognition can influence prosocial behavior directly and also exert indirect effect on prosocial behavior through state empathy.Compared to the condition without mask wearing,mask wearing can significantly facilitate the effect of happy,sad and neutral emotions on state empathy.

This study aims at developing a dataset for determining the presence of carotid artery plaques in ultrasound images,composed of 1761 ultrasound images from 1165 participants.A deep learning architecture that combines bilinear convolutional neural networks with residual neural networks,known as the single-input BCNN-ResNet model,was utilized to aid clinical doctors in diagnosing plaques using carotid ultrasound images.Following training,internal validation,and external validation,the model yielded an ROC AUC of 0.99(95%confidence interval:0.91 to 0.84)in internal validation and 0.95(95%confidence interval:0.96 to 0.94)in external validation,surpassing the ResNet-34 network model,which achieved an AUC of 0.98(95%confidence interval:0.99 to 0.95)in internal validation and 0.94(95%confidence interval:0.95 to 0.92)in external validation.Consequently,the single-input BCNN-ResNet network model has shown remarkable diagnostic capabilities and offers an innovative solution for the automatic detection of carotid artery plaques.

Objective:This study introduces a novel approach utilizing a self-made drug delivery cannula implanted into the cerebellomedullary cistern(CMC)of rats to allow repeated administrations in conscious subjects.Methods:A self-made medication cannula is inserted through a drilled hole at the midpoint of the occipital crest of the rat's skull,de-scending along the inner wall of the occipital bone until reaching the CMC,and securing it in place with skull screws and self-curing resin.Lipopolysaccharide(LPS)is injected into the CMC to induce neuroinflammation,and the feasibility of this method is assessed using X-ray imaging,behavioral testing,and immunofluorescence staining.Results:The place-ment of the brain cannula was confirmed using X-ray film and pontamine sky blue staining.Rats in the LPS group exhib-ited a lower facial mechanical pain threshold compared to the Control group(P＜0.001),along with reduced residence time in the open field center(P＜0.01).Immunofluorescence staining revealed LPS-induced activation of caudal spinal trigeminal nucleus(SpVc)microglia.Conclusion:This method proves to be suitable for multiple administrations to the cerebellomedullary cistern of conscious rats,enabling the study of the SpVc's role in pain modulation.

[Objective] To investigate the value of total cholesterol to high-density lipoprotein cholesterol ratio (THR), monocyte to high-density lipoprotein cholesterol ratio (MHR), and neutrophil to high-density lipoprotein cholesterol ratio (NHR) in predicting patients’ coronary artery stenosis severity and percutaneous coronary intervention (PCI). [Methods] A total of 6 281 patients who underwent coronary angiography at our hospital between June 2021 and June 2023 were retrospectively included in this study. These patients were divided into two groups: PCI group and non-PCI group. The clinical data, laboratory findings, and interventional treatment data of all patients were collected and analyzed. Pearson correlation analysis was employed to evaluate the correlation of THR, MHR and NHR with the degree of coronary artery stenosis. Binary Logistic stepwise regression and receiver operating characteristic (ROC) curve were utilized to assess the influencing factors and predictive value of THR, MHR and NHR single and combined indexes for coronary artery disease patients undergoing PCI. [Results] The PCI group was observed to be older, with a higher proportion of males, individuals with diabetes mellitus, and those who had undergone THR, MHR, NHR, and a Gensini score than the non-PCI group. Conversely, the proportion of previous stent implantation was less than that of the non-PCI group (P<0.05). The results of Pearson correlation analysis showed a significant and positive correlation of the Gensini score with THR (r=0.351, P<0.001), MHR (r=0.192, P<0.001), and NHR (r=0.236, P<0.001) levels, indicating that these variables had a significantly positive correlation with the degree of coronary artery stenosis. The results of multifactorial Logistic regression demonstrated that age >50 years, male sex, diabetes mellitus, THR, MHR, and NHR were independent risk factors for PCI in patients with coronary artery disease. Conversely, a history of previous stent implantation was identified as a protective factor for PCI in patients with coronary artery disease. Furthermore, the results of ROC curves indicated that the combined area under the curve (AUC) was the largest for THR, MHR, and NHR (AUC=0.809, 95%CI: 0.798-0.820). [Conclusion] THR, MHR and NHR correlate with the degree of coronary stenosis and have strong clinical applications in the assessment of coronary artery disease for PCI.

Objective:To investigate the role of hepatitis B virus X protein (HBx) in glomerular podocyte immune disorder and its regulatory mechanism.Methods:Fourteen 6-week-old male hepatitis B virus (HBV) transgenic (HBV-Tg) mice were selected, and age-matched wild type (WT) mice were as controls. They were fed to different weeks, and 24 h urinary protein, blood biochemistry, renal pathology and podocyte changes under electron microscope were detected. The expression of HBx and the infiltration of immune cells in kidney tissue of HBV-Tg mice were observed by immunohistochemistry. Human podocyte cell line was transfected with pcDNA3.1/myc-HBx plasmid, and the localization of HBx and Nephrin in podocytes was detected by immunofluorescence. The expression of major histocompatibility complex Ⅱ (MHC-Ⅱ) and co- stimulatory molecule CD40 on the cell surface was detected by flow cytometry. The contents of multiple cytokines in cell culture supernatants were determined by enzyme-linked immunosorbent assay. Transcriptome sequencing (RNA-seq) was used to screen the downstream related genes regulated by HBx, and real-time quantitative PCR was used to verify their expressions. After overexpression or silencing of Notch1 gene with overexpressed plasmids or short hairpin RNA (shRNA) in podocytes, the effects on the expression of immune molecules and cytokines secretion was observed. The Notch receptor inhibitor N-[N-(3, 5-difluorophenyl-l- alanyl)]-(s)-phenylglycine tert-butyl ester (DAPT) was used to block Notch1 signaling pathway in HBV-Tg mice, and then blood biochemistry, renal pathological changes and infiltration of immune cells in kidney tissue were observed. Results:Twenty-four-hour urine protein, serum creatinine and urea nitrogen levels were markedly increased (all P<0.05) and renal pathological injury was significantly aggravated in HBV-Tg mice than those in WT mice. Also, HBx was up-regulated and immune cells infiltrated in the glomerulus of HBV-Tg mice. After transfection with HBx in podocytes, the expression of MHC-Ⅱ and CD40 on the cellular surface was up-regulated (all P<0.05), the contents of monocyte chemotactic protein-1 (MCP-1), tumor necrosis factor -α (TNF-α) and interleukin (IL)-1β in the supernatants were increased (all P<0.05), and the secretion of IL-4 and interferon γ (IFN-γ) was unbalanced. RNA-seq screened downstream genes of HBx, such as Notch1, PLA2R, TLR4, etc; and further confirmed that HBx could promote the up-regulation of Notch1 mRNA and protein (all P<0.05). After over-expression of Notch1 gene, HBx-induced expression of MHC-Ⅱ and CD40 on the cellular surface was significantly up-regulated (all P<0.05), and the contents of MCP-1, TNF-α and IL-1β in the supernatants were obviously increased (all P<0.05), and the imbalance of IL-4/IFN-γ was further aggravated. After Notch1 gene silencing, the above results showed the opposite changes. In vivo, the results indicated that serum creatinine levels were obviously decreased (all P<0.05), renal pathological injury and immune cell infiltration were significantly alleviated in HBV-Tg+DAPT group than those in HBV-Tg+DMSO group. Conclusions:HBx protein can promote the up-regulation of Notch1 signaling pathway in podocytes. And Notch1 signaling pathway promotes the expression of immune molecules on the surface of podocytes and regulates the imbalance of cytokines, then causes glomerular injury and dysfunction of immune microenvironment.

Objective:To investigate the risk factors for severe distal curve progression after posterior hemivertebra (HV) resection and short-segment fixation in patients with congenital cervicothoracic scoliosis (CTS), and to analyze the surgical revision strategy.Methods:Imaging and clinical data of patients who underwent posterior HV resection and short-segment fixation for CTS between August 2012 and August 2021 at Nanjing Drum Tower Hospital were retrospectively analyzed. A total of 55 patients were recruited, including 27 females and 28 males with an average age of 8.5±3.6 years (range 3-15 years) at surgery and an average Risser grade of 0.7±1.4 (range 0-4). The number of fused segments averaged 6.9±1.6 (range 4-10), and the mean follow-up was 38.7±18.9 months (range 9-94 months). According to the severity of distal curve progression, the recruited patients were divided into three groups: non-progression group (NPG), mild progression group (MPG), and severe progression group (SPG). The latter two groups were collectively called the progression group (PG). The cervicothoracic Cobb angle, T1 tilt angle, coronal balance distance (CBD), neck tilt angle, clavicular angle, head tilt angle, head shift, and upper (UIV) and lower instrument vertebra (LIV) tilt angle on the standing whole spine X-ray were measured before and after surgery and at the last follow-up. The correction rate of the Cobb angle in the osteotomy area was measured and calculated on CT three-dimensional reconstruction, and the proportion of patients with Klippel-Feil syndrome (KFS) was recorded. Statistical analysis was conducted on the various parameters between the two groups. For factors with statistical significance in the single-factor analysis, binary logistic regression analysis was performed to identify the high-risk factors for distal curve progression.Results:There were 38 cases in the NPG, 11 in the MPG, and 6 in the SPG. Compared to the NPG, the PG showed more severe coronal imbalance preoperatively, with CBD of 35.6±22.3 mm and 11.6±7.1 mm respectively; more severe neck tilt and head shift, with neck tilt angle of 17.4°±8.3° and 12.4°±6.9° respectively, and head shift of 22.8±17.7 mm and 13.9±9.8 mm respectively; and a higher proportion of KFS, 65% (11/17) and 34% (13/38) respectively, all with statistical significance ( P<0.05). Postoperatively, the PG showed more severe coronal imbalance compared with the NPG, with 17.3±12.7 mm and 9.6±8.1 mm respectively; more evident residual deformity, with cervical tilt angles of 9.4°±4.6° and 6.4°±5.3° respectively, and head shift of 14.7±7.4 mm and 9.1±5.9 mm respectively; lower correction of Cobb angle in the apical osteotomy region, with rates of 40.1%±15.2% and 50.3%±19.9% respectively; more significant UIV and LIV tilt, with UIV tilt angles of 14.3°±7.4° and 9.8°±5.3° respectively, and LIV tilt angles of 8.1°±5.5° and 4.5°±3.6° respectively, all with statistical significance ( P<0.05). SPG showed only more severe coronal imbalance preoperatively compared with the MPG, with 50.7±31.3 mm and 27.3±9.6 mm respectively; and head shift, with 33.5±25.0 mm and 16.9±11.0 mm respectively, all with statistical significance ( P<0.05). Logistic regression analysis demonstrated a significant correlation between significant preoperative coronal imbalance and postoperative distal scoliosis progression [ OR=1.299, 95% CI (1.101, 1.531), P=0.002]. Five cases (83.3%) in SPG underwent revision surgery with an average follow-up of 25 months, and selecting the LIV down to the stable region was the major revision strategy. Conclusion:Combined KFS, residual cervicothoracic deformities, and tilting of UIV and LIV are key causes, whereas significant preoperative coronal imbalance is an independent risk factor predisposing to the distal curve progression.