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.

Emerging evidence suggests that dysbiosis of the gut microbiota is associated with the pathogenesis of Parkinson's disease (PD), a prevalent neurodegenerative disorder. The microbiota-gut-brain axis plays a crucial role in the development and progression of PD, and numerous studies have demonstrated the potential therapeutic benefits of modulations in the intestinal microbiota. This review provides insights into the characterization of the gut microbiota in patients with PD and highlights associations with clinical symptoms and underlying mechanisms. The discussion underscores the increased influence of the gut microbiota in the pathogenesis of PD. While the relationship is not fully elucidated, existing research demonstrates a strong correlation between changes in the composition of gut microbiota and disease development, and further investigation is warranted to explain the specific underlying mechanisms.
Humans ; Parkinson Disease/microbiology* ; Gastrointestinal Microbiome/physiology* ; Dysbiosis/microbiology*

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

Hypercholesterolemia is a significant risk factor for the development of atherosclerosis. 2',3',5'-Tri-O-acetyl-N ⁶-(3-hydroxyphenyl) adenosine (IMM-H007), a novel AMPK agonist, has shown protective effects in metabolic diseases. However, its impact on cholesterol and triglyceride metabolism in hypercholesterolemia remains unclear. In this study, we aimed to elucidate the effects and specific mechanisms by which IMM-H007 regulates cholesterol and triglyceride metabolism. To achieve this goal, we used Apoe ^-/- and Ldlr ^-/- mice to establish a hypercholesterolemia/atherosclerosis model. Additionally, hepatocyte-specific Ampka1/2 knockout mice were subjected to a 5-week high-cholesterol diet to establish hypercholesterolemia, while atherosclerosis was induced via AAV-PCSK9 injection combined with a 16-week high-cholesterol diet. Our results demonstrated that IMM-H007 improved cholesterol and triglyceride metabolism in mice with hypercholesterolemia. Mechanistically, IMM-H007 modulated the AMPKα1/2-LDLR signaling pathway, increasing cholesterol uptake in the liver. Furthermore, IMM-H007 activated the AMPKα1-FXR pathway, promoting the conversion of hepatic cholesterol to bile acids. Additionally, IMM-H007 prevented hepatic steatosis by activating the AMPKα1/2-ATGL pathway. In conclusion, our study suggests that IMM-H007 is a promising therapeutic agent for improving hypercholesterolemia and atherosclerosis through the activation of AMPKα.

OBJECTIVES: To analyze the trends of disease burden of lip and oral cancers in East Asia from 1990 to 2021 and its future projections. METHODS: We used the Global Burden of Disease 2021 database to conduct a comprehensive analysis of disease burden data from China (including Taiwan Province of China), Japan, Republic of Korea, Democratic People's Republic of Korea and Mongolia. The data were stratified by age, gender and major risk factors, and a Bayesian age-period-cohort model was employed to predict the future trends. RESULTS: From 1990 to 2021, the burden of lip and oral cancers in East Asian countries exhibited a steady increase. Taiwan Province of China experienced the most significant increases in incidence, prevalence, mortality, and disability-adjusted life years (DALYs), while Mongolia saw a decline in both mortality and DALYs. In 2021, Taiwan Province of China reported the highest rates of lip and oral cancer incidence (27.50 per 100 000), prevalence (137.92 per 100 000), mortality (9.59 per 100 000), and DALYs (292.07 person-years per 100 000), particularly among male and elderly populations. Tobacco use and alcohol consumption significantly exacerbated the disease burden in Taiwan Province of China and Japan. Future projections indicate that the incidence and prevalence of lip and oral cancer in China (excluding Taiwan Province of China) will continue to rise, while their mortality rates are expected to decline in most regions, except for Taiwan Province of China and Democratic People's Republic of Korea. CONCLUSIONS By the year 2035, the disease burden of lip and oral cancers in East Asia is expected to continue to increase, especially in Taiwan Province of China. To address this challenge, it is essential to implement effective measures to control major risk factors, promote early screening, and ensure equitable distribution of healthcare resources.
Humans ; Mouth Neoplasms/epidemiology* ; Incidence ; Lip Neoplasms/epidemiology* ; Asia, Eastern/epidemiology* ; Male ; Disability-Adjusted Life Years ; Prevalence ; Female ; Forecasting ; Risk Factors ; Cost of Illness ; Middle Aged ; Global Burden of Disease ; Aged ; Bayes Theorem

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.

The five movements and six qi theory(hereinafter referred to as"movement qi theory")runs through Liu Wansu's med-ical theoretical system,which is mainly reflected in its influence on the theory of pathogenesis,the creation of fiery heat theory,and the influence of Liu Wansu's clinical diagnosis and treatment thoughts.The influence of movement qi theory on Liu Wansu's pathogen-esis theory includes three aspects:six qi alternation on pathogenesis,five movement hyperactivities on pathogenesis,and the root and branch of movement qi on pathogenesis.Liu's understanding of the pathogenesis of six qi and the philosophical thought of"water is good and fire is evil"mainly influenced the creation of Liu Wansu's"fire theory".The influence of movement qi theory on Liu Wansu's clinical diagnosis and treatment thoughts is mainly reflected in the classification of viscera,meridian and collateral diseases based on the theory of root and branch of middle qi,the diagnosis of pulses based on movement qi theory,the deduction of disease transmission and change using movement qi thinking,and the preparation of medicines based on qi.Liu Wansu initiated the innovation and debate of medical theory in the Jin and Yuan Dynasties,and had a profound impact on the rise of warm febrile diseases in the Ming and Qing Dynasties.

Objective:To explore the differences in the performance and tissue repair promotion effects of small intestinal submucosa membrane (SIS membrane) and Bio-Gide resorbable collagen membrane (Bio-Gide membrane) by performing the subcutaneous implantation models in mice.Methods:For in vivo studies, we stablished membrane implantation models using 6-8 week-old male C57BL/6 mice. The degradation rates were explored through HE staining analysis at different time points (1, 3, 5, 7, 14 and 28 d, 3 mice/group/time point). The influences of the two membranes on local macrophages and neovasculum were evaluated by immunofluorescence detection of F4/80 and CD31, and the mobilization effects of the two membranes on local stem cells were evaluated by immunohistochemical detection of Ki67 and CD146. For in vitro studies, mice periodontal ligament stem cells (mPDLSCs) were co-cultured with these two membrane materials, and the cell morphologies were observed by scanning electron microscopy. In addition, the gene expressions of Ki67, Cxcl1, Ccl1, Tnfa were investigated by real-time fluorescence quantitative PCR (RT-qPCR). Results:The results of in vivo studies showed that by day 28, there was no significant difference in degradation rate between these two membrane materials [SIS degradation rate: (16.84±4.00) %, Bio-Gide degradation rate: (24.07±3.97) %, P=0.090], illustrating that both of them could maintain the barrier effects for more than one month. In addition, there was no significant difference in the infiltration number of local F4/80 positive macrophages between these two groups by the day 3 after implantation [SIS: (20.67±5.69) cells/visual field, Bio-Gide: (25.33±2.52) cells/visual field, P=0.292]. However, compared with the Bio-Gide membrane, SIS membrane significantly promoted local CD31 +vascular regeneration [SIS: (4.67±1.15) cells/visual field, Bio-Gide: (1.00±1.00) cells/visual field, P=0.015] and CD146 +stem cell recruitment [SIS: (22.33±4.16) cells/visual field, Bio-Gide: (11.33±2.52) cells/visual field, P=0.025]. The RT-qPCR results also showed that SIS membrane promoted the gene expression of Cxcl1 (SIS vs Bio-Gide P<0.001) in mPDLSCs, but had no effect on the gene expression of Tnfa (SIS vs Bio-Gide P=0.885). Conclusions:SIS membrane showed a similar degradation rate compared with Bio-Gide membrane, and there was no significant difference in the effects of these two membranes on local inflammation or macrophages. Therefore, both of these membranes could meet the barrier effects required by guided tissue regeneration.

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 To evaluate the therapeutic effect of Huangqin Decoction(HQD)on ulcerative colitis(UC)in mice and explore its mechanism.Methods Male Balb/c mice were randomly divided into normal control group,model group,mesalazine group(5-ASA,200 mg/kg),and low-,medium-and high-dose HQD groups(2.275,4.55 and 9.1 g/kg,respectively).With the exception of those in the normal control group,all the mice were exposed to 3%DSS solution in drinking water for 7 days to establish UC models.After treatment with the indicated drugs,the mice were assessed for colon injury and apoptosis using HE,AB-PAS and TUNEL staining,and the expression levels of inflammatory factors were detected with ELISA.Western blotting,immunohistochemistry and qRT-PCR were used to detect the changes in protein expressions associated with the intestinal chemical barrier,mechanical barrier and endoplasmic reticulum stress(ERS).Results HQD treatment significantly reduced DAI score and macro score of UC mice,decreased colonic epithelial cell apoptosis,lowered expressions of IL-6,TNF-α,IL-1β and IL-8,and enhanced the expressions of MUC2 and TFF3.HQD treatment also upregulated the protein expressions of claudin-1,occludin and E-cadherin,reduced the expressions of GRP78,CHOP,caspase-12 and caspase-3,decreased the phosphorylation levels of PERK,eIF2α and IRE1α,and increased the Bcl-2/Bax ratio in the colon tissues of UC mice.Conclusion HQD inhibits colonic epithelial cell apoptosis and improves intestinal barrier function in UC mice possibly by reducing ERS mediated by the PERK and IRE1α signaling pathways.