BACKGROUND:Eucommia ulmoides has a certain osteogenic effect,which can promote the proliferation and differentiation of osteoblasts.However,it is unclear whether Eucommia ulmoides has effects on alveolar bone formation and Wnt/β-Catenin signaling pathway. OBJECTIVE:To investigate the mechanism by which Eucommia ulmoides promotes alveolar bone formation in ovariectomized rats based on the Wnt/β-Catenin signaling pathway. METHODS:Sixty female Sprague-Dawley rats were selected and randomly divided into five groups:blank control group,sham-operation group,model group,low-dose group Eucommia ulmoides group,and high-dose Eucommia ulmoides group,with twelve rats in each group.Osteoporosis animal models were constructed by bilateral oophorectomy in the model group and the low-dose and high-dose Eucommia ulmoides groups.The sham-operation group underwent the same method to remove adipose tissue of equal mass around the bilateral ovaries.Three months after surgery,the low-and high-dose Eucommia ulmoides groups were given 2.1 g/kg/d and 4.2 g/kg/d Eucommia ulmoides by gavage,respectively.The sham-operation group and model group were given the same amount of physiological saline by gavage.After 12 weeks of drug intervention,the changes in alveolar bone mass of rats in each group were observed through Micro-CT;hematoxylin-eosin staining was used to observe the pathological structural changes of alveolar bone in rats;enzyme linked immunosorbent assay was used to detect the expression levels of alkaline phosphatase and osteocalcin in the serum of rats;western blot was used to detect the expression levels of β-Catenin and Frizzled9 receptor proteins in the alveolar bone of rats;and real-time fluorescence quantitative PCR was used to detect the expression of osteocalcin,Runt-related transcription factor 2(Runx2),alkaline phosphatase,β-catenin,and frizzled9 mRNAs in alveolar bone tissues of rats. RESULTS AND CONCLUSION:Compared with the blank control group,bone volume fraction,trabecular number,trabecular thickness,and bone mineral density were reduced in the model group(P＜0.05),and trabecular separation was elevated(P＜0.05).Pathological observation showed that the arrangement of trabeculae was disordered and irregular,the trabeculae were thinned or broken,and the marrow cavity was enlarged in the model group,with a significant reduction in bone volume;the level of alkaline phosphatase in the serum was increased(P＜0.05),and the level of osteocalcin was decreased(P＜0.05);mRNA expression of alkaline phosphatase,osteocalcin,Runx2,β-catenin,and frizzled9 were decreased(P＜0.05);protein expression of β-Catenin and Frizzled9 was decreased(P＜0.05).Compared with the model group,the low-and high-dose Eucommia ulmoides groups showed an increase in bone volume fraction,trabecular number,trabecular thickness,and bone mineral density(P＜0.05)and a decrease in trabecular separation(P＜0.05).In the low-and high-dose Eucommia ulmoides groups,bone trabeculae were slightly aligned and thickened,with a significant increase in bone mass.Compared with the model group,the serum level of alkaline phosphatase was reduced(P＜0.05)and the serum level of osteocalcin was elevated(P＜0.05)in the low-and high-dose Eucommia ulmoides groups.Compared with the model group,the mRNA expression of alkaline phosphatase,osteocalcin,Runx2,β-catenin,and frizzled9 were increased in the low-and high-dose Eucommia ulmoides groups(P＜0.05).Compared with the model group,the protein expression of Frizzled9 was increased in the low-dose Eucommia ulmoides group(P＜0.05),while the protein expression of β-Catenin and Frizzled9 was increased in the high-dose Eucommia ulmoides group(P＜0.05).Compared with the low-dose Eucommia ulmoides group,the high-dose Eucommia ulmoides group had a more significant improvement in the above indexes.To conclude,Eucommia ulmoides can effectively promote the alveolar bone formation,and its mechanism of action might be related to the activation of the Wnt/β-catenin signaling pathway.

BACKGROUND:Rev-erbα is involved in the regulation of inflammation,but pharmacological activation of Rev-erbα increases the risk for cardiovascular diseases.To reduce the relevant risk,an exploration on SR9009,a Rev-erbα agonist,combined with other drugs to relieve inflammation in skeletal myoblasts was conducted,laying the theoretical foundation for the treatment of inflammation-associated skeletal muscle atrophy. OBJECTIVE:To investigate the relationship of SR9009,indolepropionic acid and nuclear factor-κB signaling pathways in lipopolysaccharide-induced C2C12 myoblasts. METHODS:(1)C2C12 myoblasts were induced to differentiate in the presence of lipopolysaccharide(1 μg/mL).RNA-seq and KEGG pathway analysis were used to study signaling pathways.(2)C2C12 myoblast viability was assessed using the cell counting kit-8 assay to determine optimal concentrations of indolepropionic acid.Subsequently,cells were categorized into control group,lipopolysaccharide(1 μg/mL)group,SR9009(10 μmol/L)+lipopolysaccharide group,indolepropionic acid(80μmol/L)+lipopolysaccharide group,and SR9009+indolepropionic acid+lipopolysaccharide group.ELISA was employed to measure protein expression levels of interleukin-6 in the cultured supernatant.Real-time quantitative PCR were employed to measure mRNA expression levels of interleukin-6,tumor necrosis factor α,TLR4 and CD14.Western blot assay were employed to measure protein expression levels of NF-κB p65 and p-NF-κB p65.(3)After Rev-erbα was knocked down by siRNA,knockdown efficiency was assessed by RT-qPCR.And mRNA levels of interleukin-6 and tumor necrosis factor α were also measured. RESULTS AND CONCLUSION:Compared with the blank control group,lipopolysaccharide time-dependently inhibited myofibroblast fusion to form myotubes,the mRNA expression levels of interleukin-6 and tumor necrosis factor α were elevated,and the level of interleukin-6 in the cell supernatant was significantly increased.The results of KEGG pathway showed that the nuclear factor-κB signaling pathway was activated by lipopolysaccharide.Indolepropionic acid exhibited significant suppression of C2C12 myoblasts viability when its concentration exceeded 80 μmol/L.Indolepropionic acid and SR9009 inhibited the activation of NF-κB signaling pathway,thereby played an anti-inflammatory role,and suppressed the mRNA expression levels of interleukin-6,tumor necrosis factor α,TLR4 and CD14.Compared with the lipopolysaccharide group,the ratio of p-NF-κB p65/NF-κB p65 protein expression were downregulated.SR9009 combined with indolepropionic acid notably reduced lipopolysaccharide-induced inflammation,further downregulated the mRNA expression levels of interleukin-6,tumor necrosis factor α,TLR4 and CD14.The ratio of p-NF-κB p65/NF-κB p65 protein expression was significantly lower than that in the SR9009+lipopolysaccharide group or indolepropionic acid+lipopolysaccharide group.Rev-erbα increases time-dependently with lipopolysaccharide induction.The knockdown efficiency of Rev-erbα by siRNA reached over 58%,and lipopolysaccharide was added after Rev-erbα was successfully knocked down.Compared with the lipopolysaccharide group,the mRNA expression levels of interleukin-6 and tumor necrosis factor α were significantly up-regulated.These results conclude that Rev-erbα may act as a promising pharmacological target to reduce inflammation.SR9009 targeted activation of Rev-erbα combined with indolepropionic acid significantly inhibits the nuclear factor-κB signaling pathway and attenuates the inflammatory response of C2C12 myofibroblasts.Moreover,the combined anti-inflammatory effect is superior to that of the intervention alone.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

BackgroundPatients with schizophrenia experience low quality of life， and internalized stigma is considered an important indicator for quality of life， while the mediating role of self-esteem and severity of negative symptoms in the relationship between internalized stigma and quality of life remains underexplored. ObjectiveTo examine the mediating role of self-esteem and severity of negative symptoms in the relationship between internalized stigma and quality of life， so as to provide references for improving their quality of life. MethodsA total of 342 patients with schizophrenia who were hospitalized in 6 hospitals in Xiangyang City， Siping City and Changchun City from April to September 2023 were included， and all of whom met the diagnostic criteria for schizophrenia according to the International Classification of Diseases， tenth edition （ICD-10）. Internalized Stigma of Mental Illness Scale （ISMI）， Schizophrenia Quality of Life Scale （SQLS）， Self-Esteem Scale （SES） and negative symptom subscale of Positive and Negative Symptom Scale （PANSS） were administered to all patients. Spearman correlation analysis was adopted to determine correlations between the different scales. A structural equation modeling was constructed using Amos 28.0， and Bootstrap method was employed to verify the mediating effect of self-esteem and negative symptom severity in the association between internalized stigma and quality of life. ResultsA total of 309 patients （90.35%） completed questionnaires in this study. The ISMI score of schizophrenia patients was positively correlated with both SQLS score and the PANSS negative symptom subscale score （r=0.612， 0.492， P<0.01）， while was negatively correlated with SES score （r=-0.513， P<0.01）. The SQLS score was negatively associated with the SES score （r=-0.555， P<0.01） and positively associated with PANSS negative symptom subscale score （r=0.672， P<0.01）. The SES score was negatively correlated with PANSS negative symptom subscale score （r=-0.433， P<0.01）.The total effect value of internalized stigma on quality of life was 0.746 （95% CI： 0.680~0.806）. Self-esteem and severity of negative symptoms independently mediated the relationship between internalized stigma and quality of life， and the indirect effect values were 0.151 （95% CI： 0.062~0.254） and 0.126 （95% CI： 0.047~0.205）， accounting for 20.24% and 16.89% of the total effect， respectively. In addition， a chained mediation effect of self-esteem and quality of life was also demonstrated， the indirect effect value was 0.102 （95% CI： 0.049~0.165）， accounting for 13.67% of the total effect）. ConclusionInternalized stigma in patients with schizophrenia patients can not only directly affect the quality of life， but also indirectly affect the quality of life of patients through either separate or chained mediation of self-esteem and the severity of negative symptoms. ［Funded by Hubei Provincial Undergraduate Innovation and Entrepreneurship Project （number， S202410519027）］

Cell models can simulate a variety of life states and disease developments, including single cells, two-dimensional (2D) cell cultures, three-dimensional (3D) multicellular spheroids, and organoids. They are essential tools for addressing complex biochemical questions. With continuous advancements in biological and cellular analysis technologies, in vitro cellular models designed to answer scientific questions have evolved rapidly. Early in vitro models primarily relied on 2D systems, which failed to accurately replicate the complex cellular compositions and microenvironmental interactions observed in vivo, let alone support sophisticated investigations into cellular biological functions. Subsequent improvements in cell culture techniques led to the development of 3D culture-based models, such as cellular spheroids. The advent of pluripotent stem cell technology further advanced the development of organoid systems, which closely mimic human organ development. Compared to traditional 2D models, both 3D cellular models and organoids offer significant advantages, including personalization and enhanced physiological relevance, making them particularly suitable for exploring molecular mechanisms of disease progression, discovering novel cellular and biomolecular functions, and conducting related studies. The imaging analysis of common cellular models primarily employs labeling-based methods for in situ imaging of targeted genes, proteins, and small-molecule metabolites, enabling further research on cell types, states, metabolism, and drug efficacy. However, these approaches have drawbacks such as poor labeling specificity and complex experimental procedures. By using cells as experimental models, mass spectrometry technology combined with morphological analysis can reveal quantitative changes and spatial distributions of various biological substances at the spatiotemporal level, including metabolites, proteins, lipids, peptides, drugs, environmental pollutants, and metals. This allows for the investigation of cell-cell interactions, tumor microenvironments, and cellular bioinformational heterogeneity. The application of these cutting-edge imaging technologies generates vast amounts of cellular data, necessitating the development of rapid, efficient, and highly accurate image data algorithms for precise segmentation and identification of single cells, multi-organelle structures, rare cell subpopulations, and complex cellular morphologies. A critical focus lies in creating deep learning models and algorithms that enhance the accuracy of cellular visualization. At the same time, establishing more robust data integration tools is essential not only for analyzing and interpreting outputs but also for effectively uncovering the biological significance of spatially resolved mass spectrometry data. Developing a cell imaging platform with high versatility, operational stability, and specificity to enable data interoperability will significantly enhance its utility in clinical research, thereby advancing investigations into disease molecular mechanisms and supporting precision diagnostics and therapeutics. In contrast to genomic, transcriptomic, and proteomic information, the metabolome can rapidly respond to external stimuli and cellular physiological changes within a short timeframe. This rapid and precise reflection of ongoing cellular state alterations has positioned spatial metabolomics as a pivotal approach for exploring the molecular mechanisms underlying physiological and pathological processes in cells, tissues, and organisms. In this review, we summarize research on cell imaging based on mass spectrometry technologies, including the selection and preparation of cell models, morphological analysis of cell models, spatial omics techniques based on mass spectrometry, mass cytometry, and their applications. We also discuss the current challenges and propose future directions for development in this field.

Objective: To explore the association of health literacy with overweight and obesity among middle school students in Chongqing, so as to provide evidence for obesity prevention and control strategies. Methods: From November to December 2019, a stratified cluster sampling method was used to select 7 851 middle school students from 8 complete middle schools across 4 districts/counties in Chongqing. Participants completed the Adolescent Health Literacy Questionnaire and underwent nutritional status assessments. Chisquare tests and multivariate Logistic regression analyses were performed to evaluate associations. Results: The prevalence of overweight and obesity among adolescents was 12.95%. The overall health literacy rate and rates for functional, interactive, and critical health literacy dimensions were 62.01%, 66.02%, 50.07%, and 72.42%, respectively. Significant differences in overweight and obesity prevalence were observed across districts/counties, urban/rural areas, sex, school stages, and onlychild status (χ2=25.93, 3.86, 80.55, 8.80, 6.43, P<0.05). After adjusting for confounding factors, multivariate Logistic regression revealed that middle school students with overall health literacy (OR=0.86, 95%CI=0.75-0.99), interactive health literacy (OR=0.85, 95%CI=0.74-0.97), and critical health literacy (OR=0.84, 95%CI=0.73-0.98) had a lower risk of overweight and obesity (P<0.05). Conclusions Health literacy is inversely associated with overweight and obesity among middle school students. Strengthening health education and improving interactive and critical health literacy may create favorable conditions for adolescent overweight and obesity prevention and control.

Objective: To analyze the consumption frequency of major foods among Chinese children aged 6-17 years old, and to provide a basis for optimizing the dietary structure of children in China. Methods: Using data from the China Nutrition and Health System Survey and Application Program for Children 0-18 years old, 56 734 children aged 6-17 years old from North, Norththeast East, Central, South, Southwest and Northwest seven regions in China were selected for the study using stratified cluster random sampling from 2019 to 2021. A food frequency questionnaire was used to investigate the intake frequency of eight food groups in a month, including fresh vegetables, fresh fruits, livestock and poultry meats, aquatic products, eggs, dairy products, legumes, and cereals and potatoes. The foods were grouped according to whether they met the recommended intake criteria outlined in the Dietary Guidelines for Chinese Residents 2022. The〖KG*2〗χ2 test was used to compare the differences in the proportion of childrens intake frequency of each food group meeting the standard in different regions and age groups. Results: The proportions of Chinese children aged 6-17 years who consumed fresh vegetables and cereals and potatoes ≥3 times/d were 12.1% and 67.2%, respectively. The proportions of children who consumed fresh fruits, livestock and poultry meats, eggs and dairy products ≥1 time/d were 50.8%, 58.8%, 36.0% and 54.3%, respectively. The proportion of legumes consumed ≥4 times/week was 37.4%, and the proportion of aquatic products consumed ≥2 times/week was 39.7%. Fresh vegetables (5.5%), fresh fruits (33.1%), and dairy products (36.4%) had the lowest frequency of meeting the recommended standards in South China, and aquatic products (27.4%) and eggs (21.1%) had the lowest frequency of meeting the recommended standards in Northwest (P<0.008 3). Conclusion The overall intake frequency of fresh vegetables, fresh fruits, legumes, and dairy products are insufficient among Chinese children, with significant regional variations.

Objective To investigate the impact of donor kidney histopathological lesions on the risk of BK virus (BKV) infection and progression after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 326 kidney transplant recipients from deceased donors at the Department of Kidney Transplantation, the First Affiliated Hospital of Zhengzhou University, from January 2019 to June 2020. The recipients were divided into two groups based on whether BKV infection occurred after kidney transplantation: the BKV infection group (145 cases) and the non-BKV infection group (181 cases). The correlation between donor kidney histopathological findings from zero-hour biopsy and BKV infection, as well as the impact on the risk and progression of BKV infection, was analyzed. Results The incidence of BKV infection among the 326 kidney transplant recipients was 44.5% (145/326). The clearance rate of BKV after infection was 82.1% (119/145), while 17.9% (26/145) progressed to BKV viremia. Among the 326 qualified kidney biopsy specimens, 32 cases showed mild tubular atrophy, 324 cases had mild acute tubular injury, 27 cases exhibited mild hyaline arteriosclerosis, 10 cases had moderate to severe hyaline arteriosclerosis, 7 cases showed mild interstitial inflammation, 23 cases had mild interstitial fibrosis, 6 cases exhibited mild arterial intimal fibrosis, and 1 case had moderate to severe arterial intimal fibrosis. Multivariate logistic regression analysis revealed that male recipients, donor age and tubular atrophy were independent risk factors for BKV infection (all P<0.05). Tubular atrophy was also an independent risk factor for the progression from BKV uria to BKV viremia (P<0.05). Conclusions Donor kidney histopathological lesions have a certain impact on BKV infection and progression after kidney transplantation. Patients with more severe tubular atrophy in donor kidneys have a higher risk of BKV infection after kidney transplantation and are more likely to progress to BKV viremia.

AIM: To analyze the current status and influencing factors for insufficient hyperopia reserve in preschool children from Changzhi City, Shanxi Province, and to provide reference and basis for myopia prevention and control in this district.METHODS: A stratified cluster random sampling strategy was used to select 2 854 preschool children(5 708 eyes)from 29 child-care centers in Changzhi City between January and May 2024. Hyperopia reserve was assessed through measurements and questionnaire surveys. Totally 2 820 cases(5 640 eyes)were finally included, with 34 cases excluded(32 cases of uncooperativeness and 2 cases of distractibility). The univariate analysis and multivariate Logistic regression were performed to analyze the associated influencing factors of insufficient hyperopia reserve.RESULTS: A total of 580 preschool children with insufficient hyperopia reserve were detected, with an incidence of 20.57%. Logistic regression analysis revealed that male(OR=1.723, 95% CI: 1.419-2.093), maternal myopia(OR=2.210, 95% CI: 1.681-2.906), paternal myopia(OR=1.426, 95% CI: 1.059-1.921), myopia in both parents(OR=2.761, 95% CI: 2.110-3.612), preterm infants(OR=1.740, 95% CI: 1.294-2.342), the mean daily sleep duration <10 h(OR=1.272, 95% CI: 1.024-1.579), and the mean daily outdoor activity time <2 h(OR=1.222, 95% CI: 1.005-1.485)were risk factors for insufficient hyperopia reserve(all P<0.05). Conversely, using blackout curtains during the day and turning off lights at night(OR=0.598, 95% CI: 0.405-0.883)were identified to be protective factors(P<0.05).CONCLUSION: Sex, genetics, gestational age, sleep duration and environmental conditions, and outdoor activity time are potentially associated with insufficient hyperopia reserve in preschool children. Caregivers should prioritize the management of these risk factors to prevent the occurrence of myopia.