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.

ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

Tumor immunotherapy has emerged as the fourth major therapeutic modality, following surgery, radiotherapy, and chemotherapy. Unlike traditional treatments that primarily target tumor cells directly, immunotherapy harnesses the body’s immune system to recognize and eliminate cancer cells. Over the past decade, various immunotherapeutic strategies have been developed, including immune checkpoint inhibitors (ICIs), chimeric antigen receptor (CAR) T cell therapy, cancer vaccines, and cytokine-based therapies. However, the immunosuppressive tumor microenvironment (TME) poses a significant obstacle to the effectiveness of these treatments. Polyamines—including putrescine, spermidine, and spermine—are polycationic metabolites that often accumulate abnormally in the TME and act as critical immunoregulatory molecules. T cells play a central role in antitumor immunity, yet their function is frequently influenced by immunoregulatory factors within the TME. Elevated polyamine levels in the TME have been implicated in dampening antitumor T cell responses, thereby facilitating tumor immune evasion. Polyamines in the TME originate from both tumor cells and tumor-associated immune cells. Tumor cells often overexpress the oncogene Myc, which drives the upregulation of polyamine biosynthetic enzymes, resulting in excessive intracellular polyamine production. Additionally, M2-polarized tumor-associated macrophages (M2-TAMs) contribute to polyamine accumulation by upregulating arginase-I (Arg-I), an enzyme that catalyzes the conversion of arginine into ornithine—a key precursor in the polyamine biosynthetic pathway. These combined sources lead to sustained polyamine enrichment in the TME, contributing to immune dysfunction and supporting tumor progression. Moreover, polyamines indirectly affect T cell activity by modulating macrophage polarization and directly suppress tumor cell apoptosis, further promoting an immunosuppressive environment. This review highlights the multifaceted roles of polyamines in modulating tumor-infiltrating T cell function, with a particular focus on their influence on CD4+ T cell differentiation,CD8+ T cell cytotoxicity, and immune checkpoint molecule expression. Recent studies suggest that polyamines suppress CD4+ T cell activation and differentiation by modulating the MAPK/ERK signaling pathway. Additionally, polyamines can impair T cell receptor (TCR) signaling and promote immune evasion through the upregulation of PD-L1 expression on tumor cells. These effects collectively contribute to weakened antitumor T cell responses. Polyamine blocking therapy (PBT), which primarily targets polyamine biosynthesis and transport, has emerged as a novel adjunctive immunotherapeutic strategy in cancer treatment. By reducing polyamine levels in the TME, PBT restores T cell effector functions and alleviates immunosuppression. Notably, studies have demonstrated that combining PBT with ICIs produces synergistic antitumor effects and may overcome resistance to ICI monotherapy. Although research has revealed the inhibitory effects of polyamines on T cell immune function, the underlying regulatory mechanisms remain to be fully elucidated. Moreover, due to compensatory mechanisms employed by tumor cells to maintain polyamine homeostasis, multi-targeted approaches may be necessary to achieve safe and effective therapeutic outcomes. Future PBT strategies may benefit from the integration of multi-omics technologies and the development of nanocarrier-based drug delivery systems, which could collectively enhance their specificity, efficacy, and applicability in cancer immunotherapy. This review systematically elucidates the immunomodulatory effects of polyamines on T cell function within the TME and provides theoretical support and novel insights for the advancement of tumor immunotherapeutic strategies.

Point-of-care testing (POCT) provides key support for clinical decision-making through rapid detection. This article introduces the development background of POCT in the field of pre-hospital emergency, as well as the development status of POCT in Hangzhou City, and analyzes the problems of quality management. Pre-hospital emergency medical institutions in Hangzhou City have been equipped with POCT equipment, and the test items include blood glucose, cardiac troponin, etc. The implementation rates of internal quality control, comparison test, and proficiency testing were 58.2%, 50.3% and 42.6%, respectively. POCT quality management has problems such as unclear responsibility subjects, insufficient professional personnel, and a lack of standardization of the process. It is proposed to build a hierarchical collaborative management system, strengthen the double access mechanism of personnel and equipment, implement the whole process quality control, and build a digital management platform, so as to provide the reference for the high-quality development of POCT in pre-hospital medical emergency institutions.

In 2040, neurodegenerative diseases (NDD) will overtake cancer as the second leading cause of death after cardiovascular and cerebrovascular diseases. Therefore, the search for effective intervention measures has become the top priority to deal with this difficult burden. Hyperbaric oxygen therapy (HBOT) has been used for the past 50 years to treat conditions such as decompression sickness, carbon monoxide poisoning and radiation damage. In recent years, studies have confirmed that HBOT has good effects in improving cognitive impairment after brain injury and stroke, and alleviating neurodegeneration and dysfunction related to NDD. Here we reviewed the pathogenesis and treatment state of NDD, introduced the application of HBOT in animal models and clinical studies of NDD, and expounded the application potential of HBOT in the treatment of NDD from the perspective of mitochondrial function, neuroinflammation, neurogenesis and angiogenesis, oxidative stress, apoptosis, microcirculation and epigenetics.
Hyperbaric Oxygenation ; Humans ; Neurodegenerative Diseases/physiopathology* ; Animals ; Oxidative Stress ; Apoptosis ; Mitochondria/physiology* ; Neurogenesis ; Epigenesis, Genetic

The inheritance, innovation, and development of traditional Chinese medicine(TCM) need to be based on Chinese medicinal materials. The TCM seed industry is the source of TCM production, which is related to the stable supply and quality safety of TCM. This paper summarizes the basic situation of the TCM seed industry and introduces relevant policies and regulations to TCM seeds in the seed industry and the TCM field. At present, the Management Measures of TCM Seeds and Seedlings has not yet promulgated, and TCM seeds are classified as non-major crops in the category of crops for management. This paper also describes the current situation of TCM seed and seedling system construction, which is in the development stage, from six aspects, including the construction of TCM seed industry technical support system; the establishment of TCM seed standard; the construction of germplasm resource preservation system; TCM seed testing, variety registration, and variety protection; production and management of TCM seeds; TCM seed supervision. According to the development status of the TCM seed industry, four problems are put forward, including imperfect systems and standards relevant to TCM seeds, insufficient supervision and law enforcement regarding TCM seeds, insufficient policy measures and capital investment to promote the development of the industry, and the industry's falling into a low-level cycle.Accordingly, four suggestions are provided, including improving laws, regulations, and policies, perfecting standards and norms,strengthening supervision and law enforcement, and promoting support system construction, in order to boost the high-quality development of the TCM seed industry.
Seeds/chemistry* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/standards* ; Plants, Medicinal/chemistry*