BACKGROUND:Studies have confirmed that Pterocarya hupehensis skan total flavonoids(PHSTF)can improve the level of collagen-induced arthritis in rats,but there is still a lack of research on the regulation of Wnt/β-catenin signaling pathway in fibroblast-like synoviocytes and its effect on related cell functions.OBJECTIVE:To investigate the effect and mechanism of PHSTF on lipopolysaccharide-induced proliferation,migration and apoptosis of fibroblast-like synoviocytes based on the Wnt/β-catenin signaling pathwayMETHODS:Fibroblast-like synoviocytes were divided into control group,lipopolysaccharide group,lipopolysaccharide+low-,medium-,and high-dose PHSTF groups(10,20,and 40 μg/mL),lipopolysaccharide+Wnt pathway inhibitor DKK1 group,and lipopolysaccharide+Wnt pathway inhibitor DKK1+high-dose PHSTF group(40 μg/mL).The cell counting kit-8 method was used to detect the effect of PHSTF on the viability of fibroblast-like synoviocytes,and the final drug concentration and time were screened.Flow cytometry was used to detect the apoptosis of fibroblast-like synoviocytes.Cell scratch assay,EDU staining and cell cloning assay were used to detect the migration and proliferation of fibroblast-like synoviocytes.Western blot assay was used to detect the protein expression levels of Wnt3a,β-catenin,tumorigenic genes,matrix metalloproteinase 2,matrix metalloproteinase 9,Bax and Bcl-2 in fibroblast-like synoviocytes.RESULTS AND CONCLUSION:(1)Compared with the control group,the cell viability decreased significantly when the concentration of PHSTF was＞40 μg/mL(P＜0.01).Therefore,the drug concentration of≤40 μg/mL was selected for subsequent experiments.(2)Compared with the lipopolysaccharide group,the wound healing rate,cell clone formation rate and the number of EDU-positive cells in the low-,medium-and high-dose PHSTF groups were significantly reduced,while the apoptosis rate was significantly increased(P＜0.05-0.01).(3)Western blot results showed that compared with the lipopolysaccharide group,low-,medium-and high-dose PHSTF significantly inhibited cellular Wnt3a,β-catenin,cellular tumorigenic genes,matrix metalloproteinase 2,matrix metalloproteinase 9,and Bcl-2 protein expression,and promoted the expression of Bax protein(P＜0.01).(4)Compared with the DKK1 group,the combination of DKK1 and high-dose PHSTF significantly inhibited the protein expression of Wnt3a,β-catenin,matrix metalloproteinase 2,matrix metalloproteinase 9 and Bcl-2 protein expression and promoted the protein expression of Bax(P＜0.01).To conclude,PHSTF may inhibit the proliferation and migration of fibroblast-like synoviocytes and promote apoptosis by inhibiting the Wnt/β-catenin signaling pathway.

BACKGROUND:Studies have confirmed that Pterocarya hupehensis skan total flavonoids(PHSTF)can improve the level of collagen-induced arthritis in rats,but there is still a lack of research on the regulation of Wnt/β-catenin signaling pathway in fibroblast-like synoviocytes and its effect on related cell functions.OBJECTIVE:To investigate the effect and mechanism of PHSTF on lipopolysaccharide-induced proliferation,migration and apoptosis of fibroblast-like synoviocytes based on the Wnt/β-catenin signaling pathwayMETHODS:Fibroblast-like synoviocytes were divided into control group,lipopolysaccharide group,lipopolysaccharide+low-,medium-,and high-dose PHSTF groups(10,20,and 40 μg/mL),lipopolysaccharide+Wnt pathway inhibitor DKK1 group,and lipopolysaccharide+Wnt pathway inhibitor DKK1+high-dose PHSTF group(40 μg/mL).The cell counting kit-8 method was used to detect the effect of PHSTF on the viability of fibroblast-like synoviocytes,and the final drug concentration and time were screened.Flow cytometry was used to detect the apoptosis of fibroblast-like synoviocytes.Cell scratch assay,EDU staining and cell cloning assay were used to detect the migration and proliferation of fibroblast-like synoviocytes.Western blot assay was used to detect the protein expression levels of Wnt3a,β-catenin,tumorigenic genes,matrix metalloproteinase 2,matrix metalloproteinase 9,Bax and Bcl-2 in fibroblast-like synoviocytes.RESULTS AND CONCLUSION:(1)Compared with the control group,the cell viability decreased significantly when the concentration of PHSTF was＞40 μg/mL(P＜0.01).Therefore,the drug concentration of≤40 μg/mL was selected for subsequent experiments.(2)Compared with the lipopolysaccharide group,the wound healing rate,cell clone formation rate and the number of EDU-positive cells in the low-,medium-and high-dose PHSTF groups were significantly reduced,while the apoptosis rate was significantly increased(P＜0.05-0.01).(3)Western blot results showed that compared with the lipopolysaccharide group,low-,medium-and high-dose PHSTF significantly inhibited cellular Wnt3a,β-catenin,cellular tumorigenic genes,matrix metalloproteinase 2,matrix metalloproteinase 9,and Bcl-2 protein expression,and promoted the expression of Bax protein(P＜0.01).(4)Compared with the DKK1 group,the combination of DKK1 and high-dose PHSTF significantly inhibited the protein expression of Wnt3a,β-catenin,matrix metalloproteinase 2,matrix metalloproteinase 9 and Bcl-2 protein expression and promoted the protein expression of Bax(P＜0.01).To conclude,PHSTF may inhibit the proliferation and migration of fibroblast-like synoviocytes and promote apoptosis by inhibiting the Wnt/β-catenin signaling pathway.

Objective To investigate the risk factors for postoperative recurrence and metastasis in patients with T1 stageⅢ/Ⅳ clear cell renal cell carcinoma(ccRCC), and to analyze the influence of surgical methods on prognosis, so as to provide prognostic evaluation and treatment guidance for clinical practice. Methods A retrospective analysis was conducted on 398 patients diagnosed with T1 stage Ⅲ/Ⅳ ccRCC who underwent either partial nephrectomy(PN)or radical nephrectomy(RN)at Jiangsu Province Hospital during Jan. 2008 and Sep. 2022. The patients were divided into recurrence group(n=49)and non-recurrence group(n=349)according to whether the tumor recurred during the follow-up period. The general, clinical data and prognosis were compared between the two groups. Univariate and multivariate Cox regression analyses were used to explore the factors influencing disease-free survival(DFS)and overall survival(OS)after surgery. Subgroup analysis using Kaplan-Meier curves was performed for T1a and T1b patients. Results During the median follow-up of 67(42, 98)months, the recurrence group was characterized by older age, larger tumor diameter, higher proportion of T1b stage, and more complex tumor anatomy. Univariate and multivariate Cox regression analyses showed that age ≥55 years and R.E.N.A.L. score ≥7 were independent risk factors for poorer DFS and OS(P＜0.05). Subgroup analysis revealed that PN or RN did not significantly affect DFS or OS in T1a patients and OS in T1b patients, while RN significantly improved DFS in T1b patients(P＜0.05). Conclusion Age ≥55 years and R.E.N.A.L. score ≥7 are independent risk factors for poor DFS and OS in highgrade T1 ccRCC patients. For T1b patients, RN may improve DFS.

Cholangiocarcinoma (CCA) is a malignancy characterized by tumor cells originating in the liver or bile ducts, exhibiting features of cholangiocyte differentiation. It poses a significant clinical challenge due to the limited diagnostic and therapeutic options available. Robust animal models are essential for advancing our understanding of CCA pathogenesis and developing effective treatments. This review provides a comprehensive overview of CCA mouse models, highlighting various approaches, including chemical induction, genetically engineered models, and tumor xenografts. Each model is discussed in terms of its establishment techniques, pathological characteristics, and research significance, with a focus on intrahepatic CCA. Chemical induction models, such as diethylnitrosamine- and azoxymethane-induced models, offer insights into tumorigenesis processes, whereas genetically modified models involving alterations in key genes such as Kirsten rat sarcoma viral oncogene homolog, tumor protein 53, and isocitrate dehydrogenase serve as important tools for studying the molecular mechanisms underlying CCA. Xenograft models, including patient-derived xenografts, bridge the gap between experimental research and clinical applications, allowing for precise therapeutic evaluations. By comparing these models, this review underscores their respective advantages and limitations, paving the way for future studies aiming to optimize and innovate CCA modeling strategies.

Electroencephalography (EEG) is a non-invasive neurophysiological monitoring technique. It records the electrical activity of the cerebral cortex using electrodes placed on the scalp surface. Owing to its high safety, portability, and millisecond-level temporal resolution, EEG has been widely utilized in a variety of fields, including clinical diagnosis, brain-computer interfaces (BCIs), and cognitive neuroscience research. However, due to its microvolt-level amplitude, EEG is highly susceptible to various artifacts, including electrooculographic (EOG), electrocardiographic (ECG), electromyographic (EMG), and power line interference (PLI). These artifacts can obscure genuine neural activity and introduce spurious electrophysiological features. Consequently, they may compromise EEG signal quality, thereby reducing the reliability of downstream analyses. To address this issue, numerous EEG artifact removal methods have been developed, including both traditional denoising techniques and deep learning-based approaches. Traditional EEG denoising methods have long served as the primary solutions for artifact removal. Representative approaches include filtering, regression, and blind source separation. Although these methods have demonstrated effectiveness in specific scenarios, they suffer from several inherent limitations. Filtering assumes that artifacts and EEG signals can be separated in the frequency domain, but many artifacts, such as EOG and EMG, overlap with EEG spectra, which may lead to the loss of valuable neural information. Regression methods require high-quality artifact references to estimate and subtract contaminations, limiting their effectiveness in reference-free scenarios. Blind source separation can remove artifacts without external references, but it typically requires the number of EEG channels to exceed the number of sources, restricting its application in single- or low-channel EEG recordings. Deep learning-based EEG denoising methods address these limitations effectively. First, they learn the nonlinear mapping between contaminated and clean EEG directly from data in an end-to-end manner. This approach does not rely on assumptions about spectral separability, thereby preserving neural activity more completely. Second, the reference information is incorporated during the training phase, allowing the trained model to perform artifact removal independently without external references. Third, deep learning models can be flexibly designed to accommodate various recording setups, achieving robust denoising for both high-density and single-channel EEG. Collectively, these advantages enable deep learning-based methods to overcome the main challenges of traditional approaches, providing more accurate and reliable EEG signal recovery. The superior denoising performance of deep learning-based EEG denoising methods has attracted increasing attention in EEG artifact removal research. As a result, many deep learning-based denoising methods have been developed and successfully applied in neural engineering areas. However, a systematic review of the techniques and applications in this field is still lacking. To address this gap, this paper reviews recent advances in deep learning-based EEG denoising from four perspectives: technical principle, benchmark dataset, denoising model, and evaluation method. Representative applications in neural signal analysis and BCI decoding are also summarized. Furthermore, the advantage, existing challenge, and future research direction of deep learning-based EEG denoising are discussed. This review aims to provide valuable theoretical insights and technical guidance for researchers. It is also expected to promote further advances and broader applications of deep learning-based EEG denoising techniques.

Objective On the basis of the theory of the tumor metastatic state, this work aims to explore the metastasis trajectories and peripheral immune response patterns in patients with non-small cell lung cancer (NSCLC) receiving vital qi-strengthening and toxin-eliminating therapy (Fuzheng Juandu) and reveal the value of peripheral immunity in assessing vital qi deficiency during metastasis. Methods A retrospective study design was adopted. Patients with NSCLC admitted from January 1, 2018, to October 31, 2025 were enrolled. Data on metastasis status and peripheral immune indices were collected at the follow-up time points of one, two, three, and five years. Group-based trajectory modeling was used to fit metastasis trajectories, and the independent predictors of trajectory grouping were analyzed through multifactor and multiclassification logistic regression. Results A total of 184 patients with NSCLC were included, and three different groups of metastasis trajectories were identified, namely, the low-risk stable (46.74%, n=86), low-risk rising (13.59%, n=25), and high-risk stable (39.67%, n=73) groups. Univariate analysis revealed substantial differences in peripheral immune indices among the three trajectory groups. Multivariate analysis showed that TNM stage, absolute neutrophil count, lymphocyte count, absolute monocyte count, platelet volume, SAA:CRP ratio, and NLR were independent predictors of the low-risk rising group, whereas TNM stage, absolute monocyte count, basophil count, SII, and NLR were independent predictors of the high-risk stable group. Conclusion Under Fuzheng Juandu therapy, patients with NSCLC exhibit three distinct metastasis trajectories, each corresponding to a specific peripheral immune response pattern. Elucidating these peripheral immune response patterns may facilitate the objective quantification of the degree of vital qi deficiency, prediction of future metastasis risk, and providing an important reference for the individualized clinical implementation of Fuzheng Juandu therapy.

ObjectiveThis study aims to investigate the regulatory effects of microcapsules with different matrix stiffness on the survival, proliferation, adhesion, and osteogenic differentiation of mesenchymal stem cells (MSCs), to further explore the relationship between matrix stiffness and MSCs osteogenic behavior, and to evaluate the in vivo histological responses and osteogenic-related protein expression of the microcapsules using an animal subcutaneous implantation model. MethodsIn this study, three-dimensional carbon nanofiber (CNF)/sodium alginate (SA) microcapsules with different matrix stiffness were constructed. By adjusting the CNF content, three groups of microcapsules with stiffness values of 27.05, 35.90, and 52.40 kPa were prepared, and their physicochemical properties, including morphology, mechanical properties, particle size, chemical structure, and degradation properties, were characterized. The effects of these microcapsules with different stiffness on the survival, adhesion, and osteogenic differentiation of MSCs were evaluated. Live/dead staining was used to observe cell survival and distribution in the microcapsules, while alkaline phosphatase (ALP) activity and the expression of osteopontin (OPN) and osteocalcin (OCN) were examined to assess osteogenic differentiation. Immunofluorescence staining was further performed to observe the expression of Yes-associated protein (YAP) and integrin β1 under different stiffness conditions. In addition, a rat subcutaneous implantation model was used to evaluate the in vivo tissue compatibility of the microcapsules. Histological staining and immunohistochemical analysis were carried out to examine local tissue responses and the expression of osteogenic-related proteins. ResultsThe results showed that all three groups of microcapsules exhibited regular and uniform morphology and similar particle size, and all groups showed good degradability. Except for the differences in mechanical properties, no obvious differences were found in the other physicochemical properties among the three groups. Live/dead staining indicated that all groups of microcapsules had good cytocompatibility. MSCs in the low-stiffness group were mostly round, whereas cells in the medium- and high-stiffness groups showed more obvious spreading. Higher matrix stiffness was more favorable for MSC adhesion, growth, and survival. ALP staining and quantitative analysis showed that ALP activity increased significantly with increasing matrix stiffness. The expression of the osteogenic-related proteins OPN and OCN also increased with increasing stiffness, and the high-stiffness group showed the strongest positive signals. Immunofluorescence results further indicated that YAP and integrin β1 fluorescence signals tended to increase in MSCs with increasing matrix stiffness, suggesting that matrix stiffness may influence MSC osteogenic differentiation through stiffness-related cell adhesion and mechanotransduction. In vivo experiments showed that all three groups of microcapsules exhibited good histocompatibility after subcutaneous implantation, although different degrees of degradation and local tissue response were observed. Immunohistochemical analysis showed that the expression levels of OPN and OCN increased with increasing matrix stiffness, and the high-stiffness group exhibited higher expression of these osteogenic-related proteins. ConclusionCNF endows SA microcapsules with tunable matrix stiffness. While maintaining good biocompatibility, the high-stiffness microenvironment can effectively promote the adhesion and osteogenic differentiation of MSCs, accompanied by increased ALP activity and enhanced OPN and OCN expression. The increased YAP and integrin β1 fluorescence signals in the high-stiffness group further indicate that matrix stiffness is closely related to cellular mechanical responses. These findings provide a three-dimensional cell carrier with potential application value for MSC delivery and bone tissue regeneration based on mechanical microenvironment regulation.

Objective To explore the clinical characteristics and prognostic analysis of acute corpus callosum in-farction.Methods A total of 1 466 patients with acute cerebral infarction admitted to the Neurology Department of Jiangbin Hospital in Guangxi from January 2019 to October 2023 and Neurology Department of Fuwai Hospital,Chinese Academy of Medical Sciences from January 2022 to December 2022.Among them,21 patients with acute corpus callosum infarction confirmed by MRI(observation group)and 25 patients with isolated subcortical infarction at the same period(control group)were selected.By comparing clinical data and follow-up information between two groups,we summarized the clinical characteristics of acute corpus callosum infarction,and analyzed the relevant factors affecting the prognosis of the corpus callosum infarction group.Results Acute corpus callosum infarction accounted for 1.43％(21/1 466)of patients with acute cerebral infarction in the same period.The main clinical manifestations include limb paralysis,cognitive decline,and speech impairment.Compared with the control group,the group with corpus callosum infarction had a longer onset visit time(P<0.05),more cognitive impair-ment(P<0.05),a higher proportion of mild stroke(P<0.05),more worsening symptoms during the course of the disease(P<0.05),a higher proportion of cardioembolic type(P<0.05),a lower proportion of small artery occlu?sion type(P<0.05)and a higher proportion of good prognosis(mRS score≤2 points)(P<0.05).The poor prog?nosis of corpus callosum infarction was found to be related to factors such as large lesions,multiple high?risk factors(≥3),concomitant lobar infarction and worsening of symptoms during the course of the disease.Conclusions Acute corpus callosum infarction often leads to cognitive impairment and mild limb paralysis,which frequently de?lays treatment.The poor prognosis is mainly related to factors such as lobar infarction,major lesions,and worsening of symptoms during the process.

Heat stroke is a heat-related illness caused by an imbalance between the body's heat production and heat dissipation,which could lead to multiple organ dysfunction syndrome with a high mortality rate.Rapid and effective reduction of core body temperature is key to successful treatment.This article reviews recent progress in the treatment of heat stroke,including new understandings of organ injury mechanisms,the timing,velocity and goals of cooling treatment,evaluation and selection of traditional cooling techniques(such as cold water immersion),and scientific evaluation of new cooling technologies(such as blood purification technology and intravascular heat exchange cooling technology),aiming to promote understanding and treatment of heat stroke.

Objective To study the mandibular characteristics of the modern population in Beijing region.Methods In this study,we examined 22 measurements and their sexual dimorphism index(SDI)of 193 adult mandibles(126 males,67 females)collected from the Beijing region.In addition,eight mandibular indexes were calculated.These mandibular dimensions of the Beijing population were compared with those of other modern and contemporary populations in Asia,as well as Neolithic-historical populations in Northern China.Results The predominant mandibular index in the contemporary Beijing population was dolichostenomandibular.The SDI of mandibular size exhibited a wide range of variation.It was noteworthy the minimum height of mandibular ramus,height of mandibular ramus,height of coronoid process and minimum breadth of mandibular ramus demonstrate significant sexual dimorphism(SDI≥10％).The mandibular size aligned with the variation range of modern and contemporary Asian populations,with the cluster analysis indicating an affiliation with Northern Mongoloids.But the Beijing population was far away from other Northern populations in China.The mandibular size was more gracile compared to ancient populations in Northern China,whereas the height of mandibular ramus was greater than those of the latter.Conclusion This study provides valuable insights into the physical characteristics of modern populations in Beijing region.