In the process of maintaining the steady state of bone tissue, the transcription network and signal pathway of the body play a vital role. These complex regulatory mechanisms need precise coordination to ensure the balance between bone formation and bone absorption. Once this balance is broken, it may lead to pathological changes of bone and cartilage, and then lead to various bone diseases. Therefore, it is of great significance to understand these regulatory mechanisms for the prevention and treatment of bone diseases. In recent years, with the deepening of research, more and more lncRNA has been found to be closely related to bone health. Among them, nuclear paraspeckle assembly transcript 1 (NEAT1), as an extremely abundant RNA molecule in mammalian nuclei, has attracted extensive attention. NEAT1 is mainly transcribed from a specific site in human chromosome 11 by RNA polymerase II (RNaseP), which can form two different subtypes NEAT1_1 and NEAT1_2. These two subtypes are different in intracellular distribution and function, but they participate in many biological processes together. Studies have shown that NEAT1 plays a specific role in the process of cell growth and stress response. For example, it can regulate the development of osteoblasts (OB), osteoclasts (OC) and chondrocytes by balancing the differentiation of bone marrow mesenchymal stem cells (BMSCs), thus maintaining the steady state of bone metabolism. This discovery reveals the important role of NEAT1 in bone development and remodeling. In addition, NEAT1 is closely related to a variety of bone diseases. In patients with bone diseases such as osteoporosis (OP), osteoarthritis (OA) and osteosarcoma (OS), the expression level of NEAT1 is different. These differential expressions may be closely related to the pathogenesis and progression of bone diseases. By regulating the level of NEAT1, it can affect a variety of signal transduction pathways, and then affect the development of bone diseases. For example, some studies show that by regulating the expression level of NEAT1, the activity of osteoclasts can be inhibited, and the proliferation and differentiation of osteoblasts can be promoted, thus improving the symptoms of osteoporosis. It is worth noting that NEAT1 can also be used as a key sensor for the prevention and treatment of bone diseases. When exercising or receiving some natural products, the expression level of NEAT1 will change, thus reflecting the response of bones to external stimuli. This feature makes NEAT1 an important target for studying the prevention and treatment strategies of bone diseases. However, although the role of NEAT1 in bone biology and bone diseases has been initially recognized, its specific mechanism and regulatory relationship are still controversial. For example, the expression level, mode of action and interaction with other molecules of NEAT1 in different bone diseases still need further in-depth study. This paper reviews the role of NEAT1 in maintaining bone and cartilage metabolism, and discusses its expression and function in various bone diseases. By combing the existing research results and controversial points, this paper aims to provide new perspectives and ideas for the prevention and treatment of bone diseases, and provide useful reference and enlightenment for future research.

ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Cardiovascular diseases are a group of disorders of the heart and blood vessels, primarily including coronary heart disease, stroke, and other diseases. It is the world’s leading cause of death, and its incidence is increasing yearly. Hypertension is a major risk factor for cardiovascular disease. Wnt signaling comprises a series of highly conservative cascading events controlling fundamental biological processes. Wnt signaling pathways include the canonical Wnt pathway (or Wnt/β-catenin pathway), the non-canonical planar cell-polarity pathway, and the non-canonical calcium-dependent pathways. Abnormal Wnt signaling promotes cell proliferation and differentiation, cardiac malformations, various malignancies, so drugs targeting Wnt signaling play a great therapeutic potential. Wnt/β‑catenin pathway is involved in the occurrence and development of cardiovascular diseases such as atherosclerosis and stroke by regulating cell proliferation, migration, apoptosis, blood-brain barrier permeability, inflammation, oxidative stress, and immune response. Based on the latest research progress, this review summarizes the role of Wnt/β‑catenin signaling in cardiovascular diseases, in order to provide new ideas for the prevention and treatment of cardiovascular diseases.

The pathogenesis of depression is complex, and some existing monoamine antidepressants have problems such as drug resistance or off-target failure. Traditional Chinese medicine has the characteristics of "multi-component and multi-target", and has been used in the treatment of depression in clinical practice. Yueju pill is effective in the treatment of depression. Geniposide and ligustrazine, the active ingredients of Gardeniae fructus and Ligusticum sinense 'Chuanxiong', play a key role in the treatment of depression. In this study, based on the neuroprotective activity of genipin and the rapid antidepressant activity of tetramethylpyrazine, a series of novel genipin derivatives were designed and synthesized through pharmacophore assembly principle, and their neuroprotective activity and antidepressant effect were investigated. The results showed that the novel genipin derivatives had well neuroprotective activity on the glutamate-induced HT-22 cell model, with compounds W-1 and W-3 showing better protective activity. In behavioral despair depression (BDD) model mice, compound W-3 was found to have better antidepressant activity than W-1 in tail suspension test and forced swimming test. Further study on the behavior of chronic unpredictable mild stress (CUMS) model mice showed that W-3 could significantly improve the depression-like behavior of model mice. All animal experiments were approved by the Experimental Animal Ethics Committee of Anhui University of Chinese Medicine (approval number: AHUCM-mouse-2022027). The effects of the preferred compound W-3 on protein kinase A (PKA), cAMP response element binding protein (CREB), brain-derived neurotrophic factor (BDNF), 5-hydroxytryptamine 1A (5-HT_1A) receptor, N-methyl-D-aspartate ionic glutamate receptor 2A (GluN2A) and N-methyl-D-aspartate ionic glutamate receptor 2B (GluN2B) were analyzed by Western blot. W-3 treatment significantly up-regulated the protein expression of PKA, CREB, BDNF and 5-HT_1A, and down-regulated the protein expression of GluN2A and GluN2B. The results of qRT-PCR were consistent with those of Western blot. According to the above results, compound W-3 has a potential antidepressant effect, and its mechanism may be related to the activation of PKA-CREB-BDNF signaling pathway by regulating the expression of GluN2A, GluN2B and 5-HT_1A receptor proteins.

Objective To investigate whether Liuwei Dihuang Pills enhances the antigen cross-presenting ability of dendritic cell(DC)by increasing gap junctional intercellular communication(GJIC),and to explore the mechanisms involved.Methods Western Blot and immunofluorescence were used to observe the effects of Liuwei Dihuang Pills-containing serum on the expression and membrane localisation of gap junction protein connexin43(Cx43)in mouse melanoma cells(B16);Calcein-AM/DiI fluorescence tracer assay was used to observe the effects of Liuwei Dihuang Pills-containing serum on the function of GJIC in B16 cells;flow cytometry was used to observe the role of GJIC in the enhancement of DC antigen presenting ability by Liuwei Dihuang Pills-containing serum;and propidium iodide(PI)/Hoechst staining assay was used to observe the immunocidal effect of CD8+ T-lymphocytes.Results Western Blot and immunofluorescence experiments showed that Liuwei Dihuang Pills-containing serum led to the up-regulation of Cx43 expression;fluorescence tracer experiments proved that the GJIC function of B16 cells was significantly enhanced by Liuwei Dihuang Pills-containing serum;flow cytometry analyses showed that the DC antigen-presenting ability was enhanced by Liuwei Dihuang Pills-containing serum;and the results of PI/Hoechst staining showed that the immuno-killing effect of CD8+T-cells was more significant after the intervention of Liuwei Dihuang Pills-containing serum in B16-OVA.Conclusion Liuwei Dihuang Pills improve the GJIC function by up-regulating the Cx43 expression of melanoma cells,and then enhance the cross-presenting ability of DCs thus activating stronger CD8+ T-cell immunocidal responses.

Objective To construct a lentiviral vector for overexpression of bone morphogenetic protein 7(BMP7)in mice,and the effect of BMP7 overexpression on the expression of Jagged1 in mouse aortic endothelial cells and the calcification of the co-cultured vascular smooth muscle cells(VSMCs)were analyzed.Methods According to the target gene information Mouse-BMP7(NM_007557.3)and plasmid information pLVX-zsGreen-C1,gene sequence synthesis was carried out to construct BMP7 overexpression lentivirus.The efficiency of BMP7 overexpression lentivirus infection was detected by qPCR;the expression of Jagged1 protein in aortic endothelial cells from infected mice was detected by Western blot.The endothelial cells with lentivirus overexpressing BMP7 were co-cultured with VSMCs,and the calcification of VSMCs was observed by alizarin red staining.Results BMP7 overexpression lentiviral vector was successfully constructed and transfected into aortic endothelial cells.qPCR test results showed that the expression level of BMP7 mRNA was significantly increased in the BMP7 overexpression group than that in the normal control group(P<0.01),while there was no significant difference in the expression of BMP7 mRNA between the empty vector control group and the normal control group(P>0.05).Western blot results showed that the expression level of Jagged1 protein in endothelial cells of mouse in the BMP7 overexpression group was significantly lower than that in the normal control group(P<0.01),while there was no significant difference in the expression level of Jagged1 protein in endothelial cells between the empty vector control group and the normal control group(P>0.05).The results of alizarin red staining showed that the calcification of VSMCs was significantly increased after co-cultured with endothelial cells infected with BMP7 lentivirus.Conclusion Mouse BMP7 overexpression lentiviral vector was successfully constructed,and overexpression of BMP7 can reduce the expression of Jagged1 in mouse aortic endothelial cells and promote the calcification of co-cultured VSMCs.

ObjectiveTo identify and analyze the possible influencing factors of obesity among public primary school students in Minhang District， Shanghai. MethodsBasic data， collected through questionnaire stars， was imported with merged physical examination data into Excel to form a database. Data were collected by questionnaire and analyzed by SPSS 22.00. Independent sample t-test was used for the data with normal distribution. Nonparametric test was used for the data with non-normal distribution. χ² test was used for the quantitative data. Logistic regression was used for univariate and multivariate analysis. ResultsAccording to the national physical health standards for students （revised in 2014） ， the prevalence rate of obesity among primary school students in Minhang district was 29.63% . The prevalence of overweight and obesity was 32.1% in boys and 26.9% in girls. The trend of overweight and obesity in different grades was similar among different genders .A single factor analysis showed that， being the only child （χ²=9.300， P<0.01） ， father obesity（χ²=106.417， P<0.001） or mother obesity（χ²=118.534， P<0.001） ， mother's overweight during pregnancy （χ²=159.731， P<0.001） ， caregiver's role as grandparents （χ²=38.736， P<0.001） ， low education level （χ²=111.309， P<0.001） had effects on overweight and obesity of children while the differences had statistical significance. Pupil's bad eating habit （χ²=18.905，P<0.001） and preference （χ²=22.901， P<0.001） ， insufficient sleep time （χ²=61.685， P<0.001） ， long-time using of electronic products （χ²=37.182， P<0.001） and low-time of exercise （χ²=15.328， P<0.001） also affected the obesity of primary school students. Among the five factors of family， diet， psychology， static state and dynamic state， the influencing factors of obesity in primary school students from grade one to grade four were being the only child， obese father and/or mother， overweight mother during pregnancy， caregivers without higher education. In terms of diet， it was mainly based on eating habits before bedtime， as well as partial and picky eating habits. In terms of psychology， the main psychological source was the pressure of learning in school. There was a clear relationship between the pace of learning and not keeping up. Static analysis revealed a correlation with lack of sleep. After assigning values based on eye hygiene recommendations for the use of electronic products， it was found that there was no direct correlation between obesity in primary school students and the duration of electronic product use. Dynamic analysis showed that not taking part in school physical exercise was related to obesity. ConclusionThe obesity of primary school students is influenced by family， diet， psychology， static and dynamic factors. The intervention of obesity in primary school needs the joint efforts of school， society， family， self-cognition and so on.

Objective The volume and cortical thickness of gray matter in patients with multiple sclerosis (MS) and neuromyelitis optica (NMO) were compared and analyzed by voxel⁃based morphometry (VBM) and surface⁃based morphometry (SBM), and the differences in the structural changes of gray matter in the two diseases were discussed. Methods A total of 21 MS patients, 16 NMO patients and 19 healthy controls were scanned by routine MRI sequence. The data were processed and analyzed by VBM and SBM method based on the statistical parameter tool SPM12 of Matlab2014a platform and the small tool CAT12 under SPM12. Results Compared with the normal control group (NC), after Gaussian random field (GRF) correction, the gray matter volume in MS group was significantly reduced in left superior occipital, left cuneus, left calcarine, left precuneus, left postcentral, left central paracentral lobule, right cuneus, left middle frontal, left superior frontal and left superior medial frontal (P<0. 05). After family wise error (FWE) correction, the thickness of left paracentral, left superiorfrontal and left precuneus cortex in MS group was significantly reduced (P<0. 05). Compared with the NC group, after GRF correction, the gray matter volume in the left postcentral, left precentral, left inferior parietal, right precentral and right middle frontal in NMO group was significantly increased (P<0. 05). In NMO group, the volume of gray matter in left middle occipital, left superior occipital, left inferior temporal, right middle occipital, left superior frontal orbital, right middle cingulum, left anterior cingulum, right angular and left precuneus were significantly decreased (P<0. 05). Brain regions showed no significant differences in cortical thickness between NMO groups after FWE correction. Compared with the NMO group, after GRF correction, the gray matter volume in the right fusiform and right middle frontal in MS group was increased significantly(P<0. 05). In MS group, the gray matter volume of left thalamus, left pallidum, left precentral, left middle frontal, left middle temporal, right pallidum, left inferior parietal and right superior parietal were significantly decreased (P<0. 05). After FWE correction, the thickness of left inferiorparietal, left superiorparietal, left supramarginal, left paracentral, left superiorfrontal and left precuneus cortex in MS group decreased significantly (P<0. 05). Conclusion The atrophy of brain gray matter structure in MS patients mainly involves the left parietal region, while NMO patients are not sensitive to the change of brain gray matter structure. The significant difference in brain gray matter volume between MS patients and NMO patients is mainly located in the deep cerebral nucleus mass.

Objective To analyze the clinical characteristics of IgG4-related disease (IgG4-RD),guide the selection of therapeutic drugs,and to explore the significance of potential tumor identification for IgG4-RD.Methods A total of 92 patients diagnosed with IgG4-RD and admitted to this hospital from January 1,2017 to December 31,2021were selected as the research subjects by using the Yidu Cloud system.The clinical data conducted the summary analysis. The clinical characteristics of IgG4-RD were summarized.Results The mean age of IgG4-RD was definitely diagnosed in the 92 patients was (58.1±11.3)years old,with 65 male ca-ses (70.7％) and 27 female cases (29.3％).The most commonly affected organ tissues were lymph nodes (37 cases,40.2％),pancreas (33 cases,35.9％) and salivary glands (31 cases,33.7％).In the patients woth the 92 patients,28 cases (30.4％) had involvement of a single organ tissue,while 32 cases (34.8％) had involvement of two or more organs.In the 92 patients,89 cases received steroid therapy,and 71 cases received immunosup-pressive therapy,in which 45 cases (63.4％) used cyclophosphamide.The initial treatment effective rate (72.7％ vs. 55.6％) and one-year non-recurrence rate (38.2％ vs. 20.0％) of the steroid combined immuno-suppressive therapy group were better than those of the single steroid group,but the differences were not sta-tistically significant (P>0.05).The proportion of the patients with tumor comorbidity and IgG4 level>40 g/L (18.2％) was significantly higher than that of the non-tumor comorbidity (1.2％),and the difference was statistically significant (P<0.05).However,there was no statistically significant difference in the proportion of patients with tumor comorbidity compared to the non-tumor comorbidity in other IgG4 level groups (P>0.05).Conclusion IgG4-RD is more common in middle-aged and elderly men,lymph nodes,pancreas and sal-ivary glands are commonly involved,and most patients have the double organs and multiple organs involve-ment. The combination use of hormone and immunosuppressant in treatment is recommended .The IgG4 lev-el>40 g/L in the patients with IgG4-RD may has the suggestive significance for complicating tumor.

Objective:To explore the role of arginine metabolism in the inflammatory response to influenza A virus (FluA) infection.Methods:Eighteen-month-old mice were infected with FluA via nasal drip, with samples collected on the 6th day post-infection. The concentration of cytokines was determined by the Luminex multifactor assay, while the metabolites in bronchoalveolar lavage fluid (BALF) were analyzed using targeted metabolomic method. Correlation analysis was employed to examine the correlation between cytokines and metabolites. Macrophages were infected with FluA at a multiplicity of infection (MOI) of 1 and cultured with different concentrations of arginine for 24 h. The mRNA and protein expression levels of interleukin (IL)-1β, IL-6, tumor necrosis factor α (TNF-α) and IL-10 were detected by real time fluorescence quantitative RT-PCR (qRT-PCR) and Cytometric Bead Array (CBA).Results:In comparison to the control group, the levels of surfactant protein D (SP-D), TNF-α, monocyte chemotactic protein-1 (MCP-1), IL-1α, IL-6, IL-10, recombinant S100 calcium binding protein (S100) A9, interferon inducible protein 10 (IP-10), macrophage inflammatory protein-1α (MIP-1α), matrix metalloprotein-9 (MMP-9), and Complement Factor D in BALF of FluA infection exhibited a significant elevation. The concentrations of arginine, aspartate, citrulline, glutamic acid, ornithine, proline, creatine, and sarcosine in arginine metabolism were up-regulated, which was correlated with most of elevated cytokine levels. The supplementation of arginine after FluA infection significantly decreased the levels of IL-1β, IL-6, and TNF-α, but increased the level of IL-10 in macrophages.Conclusions:Arginine reduces the inflammatory response induced by FluA infection in macrophages, suggesting that it may be a potential intervention target for severe pulmonary inflammation following FluA infection.