Objective: To explore the correlation between parent-child separation experience and non suicidal self injury (NSSI) behavior among junior and senior high school students, so as to provide a reference for the prevention and improvement of NSSI behavior among junior and senior high school students. Methods: Using a stratified cluster random sampling method, 3 114 junior and senior high school students aged 11-19 years were recruited from Chenzhou and Jishou cities in Hunan Province between November 2024 and September 2025. A self designed questionnaire and the Functional Self injury Behavior Assessment Scale were used to collect information on parental labor migration and adolescents NSSI behavior status. Binary Logistic regression model was used to analyse the association between parent-child separation experiences and NSSI behavior among junior and senior high school students, with further stratified analysis by gender. Results: The prevalence rate of NSSI behavior among junior and senior high school students was 9.9%, and the overall incidence of parent-child separation was 48.9%, comprising 17.1% separated from their father only, 5.5% separated from their mother only, and 26.3% separated from both parents. After adjusting for variables such as age, gender, and ethnicity, the results of binary Logistic regression analyses indicated that adolescents with parent-child separation experiences had a higher risk of NSSI behavior ( OR =1.31, 95% CI =1.01-1.69, P <0.05). Compared with those without parent-child separation experiences, adolescents who were separated from their mother only ( OR =1.68, 95% CI =1.03-2.74) or from both parents ( OR =1.41, 95% CI =1.04-1.92) showed significantly increased risks of NSSI behavior (both P <0.05). Conclusions Parent-child separation experiences are associated with an increased risk of NSSI behavior among junior and senior high school students. Strengthened attention should be paid to left behind senior high school students to reduce the occurrence of NSSI in adolescents.

Radiotherapy is a cornerstone in the treatment of malignant tumors. It induces DNA damage through high-energy radiation, preferentially eliminating rapidly proliferating tumor cells. However, its clinical efficacy is often limited by tumor radioresistance and collateral damage to normal tissues. Consequently, elucidating the cellular response mechanisms to radiation stress and identifying key targets that can both sensitize tumor cells and protect normal tissues have become critical strategies for improving radiotherapy outcomes. Radiation stress triggers structural remodeling of the nucleolus, leading to the dissociation of certain ribosomal proteins from the ribosome and enabling them to acquire extra-ribosomal functions. Among these, RPL11 can be released and specifically binds to MDM2, thus inhibiting its E3 ubiquitin ligase activity, stabilizing p53, and mediating cell cycle arrest and apoptosis. The RPL11-MDM2-p53 pathway, acting as a signaling hub that links nucleolar dysfunction to cell fate determination, plays a pivotal role in maintaining genomic stability and regulating cellular responses to radiation. This review first introduces the basic characteristics of RPL11 and elucidates the molecular basis of radiation-induced ribosomal stress. It then outlines the core regulatory mechanisms of the cell cycle. On this basis, it focuses on the mechanisms by which radiation-induced RPL11 regulates the cell cycle and analyzes the specific effects of RPL11 on cell cycle. Furthermore, it discusses the role of the RPL11-MDM2-p53 pathway in cell cycle regulation. Finally, it explores the role of this pathway in maintaining genomic stability and determining cell fate, and highlights its potential value as a target for radiosensitization, aiming to provide new perspectives for enhancing tumor radiosensitivity and reducing damage to normal tissues.

Radiotherapy is a cornerstone in the treatment of malignant tumors. It induces DNA damage through high-energy radiation, preferentially eliminating rapidly proliferating tumor cells. However, its clinical efficacy is often limited by tumor radioresistance and collateral damage to normal tissues. Consequently, elucidating the cellular response mechanisms to radiation stress and identifying key targets that can both sensitize tumor cells and protect normal tissues have become critical strategies for improving radiotherapy outcomes. Radiation stress triggers structural remodeling of the nucleolus, leading to the dissociation of certain ribosomal proteins from the ribosome and enabling them to acquire extra-ribosomal functions. Among these, RPL11 can be released and specifically binds to MDM2, thus inhibiting its E3 ubiquitin ligase activity, stabilizing p53, and mediating cell cycle arrest and apoptosis. The RPL11-MDM2-p53 pathway, acting as a signaling hub that links nucleolar dysfunction to cell fate determination, plays a pivotal role in maintaining genomic stability and regulating cellular responses to radiation. This review first introduces the basic characteristics of RPL11 and elucidates the molecular basis of radiation-induced ribosomal stress. It then outlines the core regulatory mechanisms of the cell cycle. On this basis, it focuses on the mechanisms by which radiation-induced RPL11 regulates the cell cycle and analyzes the specific effects of RPL11 on cell cycle. Furthermore, it discusses the role of the RPL11-MDM2-p53 pathway in cell cycle regulation. Finally, it explores the role of this pathway in maintaining genomic stability and determining cell fate, and highlights its potential value as a target for radiosensitization, aiming to provide new perspectives for enhancing tumor radiosensitivity and reducing damage to normal tissues.

Radiotherapy is a cornerstone in the treatment of malignant tumors. It induces DNA damage through high-energy radiation, preferentially eliminating rapidly proliferating tumor cells. However, its clinical efficacy is often limited by tumor radioresistance and collateral damage to normal tissues. Consequently, elucidating the cellular response mechanisms to radiation stress and identifying key targets that can both sensitize tumor cells and protect normal tissues have become critical strategies for improving radiotherapy outcomes. Radiation stress triggers structural remodeling of the nucleolus, leading to the dissociation of certain ribosomal proteins from the ribosome and enabling them to acquire extra-ribosomal functions. Among these, RPL11 can be released and specifically binds to MDM2, thus inhibiting its E3 ubiquitin ligase activity, stabilizing p53, and mediating cell cycle arrest and apoptosis. The RPL11-MDM2-p53 pathway, acting as a signaling hub that links nucleolar dysfunction to cell fate determination, plays a pivotal role in maintaining genomic stability and regulating cellular responses to radiation. This review first introduces the basic characteristics of RPL11 and elucidates the molecular basis of radiation-induced ribosomal stress. It then outlines the core regulatory mechanisms of the cell cycle. On this basis, it focuses on the mechanisms by which radiation-induced RPL11 regulates the cell cycle and analyzes the specific effects of RPL11 on cell cycle. Furthermore, it discusses the role of the RPL11-MDM2-p53 pathway in cell cycle regulation. Finally, it explores the role of this pathway in maintaining genomic stability and determining cell fate, and highlights its potential value as a target for radiosensitization, aiming to provide new perspectives for enhancing tumor radiosensitivity and reducing damage to normal tissues.

With the rising incidence of colon cancer, several studies have indicated that aquaporin 1 (AQP1) expression is associated with the development of colon cancer. This study aims to elucidate the potential molecular mechanisms between them. Methods: We screened data from The Cancer Genome Atlas (TCGA) database and retrospectively examined AQP1 protein expression in 127 colon cancer patients to analyze the relationship between AQP1 expression and pathological stages, prognosis. We created stable colon cancer cell lines with differential AQP1 expression, the effect of AQP1 expression on the proliferation and migration of colon cancer cells was assessed by in vitro and in vivo studies, and explored potential molecular mechanisms through Western blotting. Results: High AQP1 expression was associated with poorer survival (overall survival [OS], p = .028) in colon cancer patients from the TCGA database. Similarly, retrospective clinical data indicated that high AQP1 expression was associated with reduced disease-free survival and OS (p = .036 and p = .017, respectively). The low-expressing AQP1 colon cancer cells exhibited a decrease in proliferation and migration ability of colon cancer cells compared to the overexpressing AQP1 group (p < .05) in vitro and in vivo. Immunohistochemistry and western blotting experiments validated heightened expression of N-cadherin, vimentin, and claudin- 1 in the tumor tissues of the overexpressing AQP1 group. Conversely, reduced AQP1 expression resulted in decreased expression of claudin- 1. Conclusions: AQP1 correlates with unfavorable prognosis in colon cancer and potentially enhances the proliferation and migration of colon cancer by up-regulating claudin-1 expression.

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 investigate the repair effects of Zhengan Xifengtang on intestinal mucosal barrier in spontaneously hypertensive rats （SHRs） through the pathways of farnesoid X receptor （FXR）-myosin light chain kinase （MLCK）/phosphorylated myosin light chain （p-MLC） and its potential mechanism. MethodsForty 10-week-old male SHRs were randomly divided into model group， amlodipine besylate group （0.5 mg·kg^-1·d^-1）， and high， middle and low dose groups of Zhengan Xifengtang （34.5， 17.25， 8.625 g·kg^-1·d^-1）； eight age-matched male Wistar-Kyoto （WKY） rats of the same origin served as the normal control group. Drug intervention was carried out for 8 weeks， and the blood pressure of the rats was measured regularly. After the intervention， the rats were euthanized to collect tissue samples. Hematoxylin and eosin （HE） staining and Alcian blue-periodic acid-Schiff （AB-PAS） staining were used to evaluate the pathological morphology and the number of goblet cells in colonic mucosa. Enzyme-linked immunosorbent assay （ELISA） was employed to measure plasma lipopolysaccharide （LPS） and diamine oxidase （DAO） levels in each group of rats. Immunofluorescence （IF） assay was used to detect the relative fluorescence intensity of FXR and p-MLC in colonic tissue. Western blot was used to detect the zonula occludens-1 （ZO-1）， Occludin， Claudin-1， junctional adhesion molecule-1 （JAM-1）， mucin-2 （MUC2）， FXR， MLCK， and p-MLC protein expression in colon tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect mRNA expression levels of ZO-1， Occludin， Claudin-1， JAM-1， MUC2， FXR， MLCK， and MLC in colon tissue. ResultsCompared with the normal group， the blood pressure in the model group increased significantly （P<0.01）， the colonic mucosal structure was seriously damaged， and the number of goblet cells decreased significantly. The contents of LPS and DAO increased significantly （P<0.01）， the relative fluorescence intensity of FXR in colon decreased， while that of p-MLC increased （P<0.01）. The protein and mRNA expressions of ZO-1， Claudin-1， JAM-1， Occludin， MUC2 and FXR decreased significantly （P<0.01）， whereas the protein expression of MLCK and p-MLC increased significantly （P<0.01）. Additionally， the mRNA expression of MLCK and MLC increased significantly （P<0.01）. Compared with the model group， the Zhengan Xifengtang groups at various dosages and the amlodipine besylate group showed significantly reduced blood pressure （P<0.01）. The damage of colonic mucosa structure was alleviated， the infiltration of inflammatory cells decreased， and the number of goblet cells increased. LPS and DAO levels were decreased （P<0.05， P<0.01）. In the colon， the relative fluorescence intensity of FXR increased， while that of p-MLC decreased （P<0.05， P<0.01）. The protein and mRNA expression levels of ZO-1， Claudin-1， JAM-1， Occludin， and FXR increased significantly （P<0.05， P<0.01）， while the protein expression of MLCK and p-MLC decreased significantly （P<0.05， P<0.01）. Furthermore， the mRNA expression of MLCK and MLC decreased significantly （P<0.05， P<0.01）， and the protein expression of MUC2 increased significantly （P<0.05， P<0.01）. The expression of MUC2 mRNA in each dose group of Zhengan Xifengtang increased significantly （P<0.05， P<0.01）. ConclusionZhengan Xifengtang may regulate the FXR-MLCK/p-MLC signaling pathway and enhance the expression of tight junction protein， thereby reducing intestinal mucosal permeability， promoting mucosal barrier repair， decreasing LPS release into the blood， and ultimately lowering blood pressure.

ObjectiveTo investigate the repair effects of Zhengan Xifengtang on intestinal mucosal barrier in spontaneously hypertensive rats （SHRs） through the pathways of farnesoid X receptor （FXR）-myosin light chain kinase （MLCK）/phosphorylated myosin light chain （p-MLC） and its potential mechanism. MethodsForty 10-week-old male SHRs were randomly divided into model group， amlodipine besylate group （0.5 mg·kg^-1·d^-1）， and high， middle and low dose groups of Zhengan Xifengtang （34.5， 17.25， 8.625 g·kg^-1·d^-1）； eight age-matched male Wistar-Kyoto （WKY） rats of the same origin served as the normal control group. Drug intervention was carried out for 8 weeks， and the blood pressure of the rats was measured regularly. After the intervention， the rats were euthanized to collect tissue samples. Hematoxylin and eosin （HE） staining and Alcian blue-periodic acid-Schiff （AB-PAS） staining were used to evaluate the pathological morphology and the number of goblet cells in colonic mucosa. Enzyme-linked immunosorbent assay （ELISA） was employed to measure plasma lipopolysaccharide （LPS） and diamine oxidase （DAO） levels in each group of rats. Immunofluorescence （IF） assay was used to detect the relative fluorescence intensity of FXR and p-MLC in colonic tissue. Western blot was used to detect the zonula occludens-1 （ZO-1）， Occludin， Claudin-1， junctional adhesion molecule-1 （JAM-1）， mucin-2 （MUC2）， FXR， MLCK， and p-MLC protein expression in colon tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect mRNA expression levels of ZO-1， Occludin， Claudin-1， JAM-1， MUC2， FXR， MLCK， and MLC in colon tissue. ResultsCompared with the normal group， the blood pressure in the model group increased significantly （P<0.01）， the colonic mucosal structure was seriously damaged， and the number of goblet cells decreased significantly. The contents of LPS and DAO increased significantly （P<0.01）， the relative fluorescence intensity of FXR in colon decreased， while that of p-MLC increased （P<0.01）. The protein and mRNA expressions of ZO-1， Claudin-1， JAM-1， Occludin， MUC2 and FXR decreased significantly （P<0.01）， whereas the protein expression of MLCK and p-MLC increased significantly （P<0.01）. Additionally， the mRNA expression of MLCK and MLC increased significantly （P<0.01）. Compared with the model group， the Zhengan Xifengtang groups at various dosages and the amlodipine besylate group showed significantly reduced blood pressure （P<0.01）. The damage of colonic mucosa structure was alleviated， the infiltration of inflammatory cells decreased， and the number of goblet cells increased. LPS and DAO levels were decreased （P<0.05， P<0.01）. In the colon， the relative fluorescence intensity of FXR increased， while that of p-MLC decreased （P<0.05， P<0.01）. The protein and mRNA expression levels of ZO-1， Claudin-1， JAM-1， Occludin， and FXR increased significantly （P<0.05， P<0.01）， while the protein expression of MLCK and p-MLC decreased significantly （P<0.05， P<0.01）. Furthermore， the mRNA expression of MLCK and MLC decreased significantly （P<0.05， P<0.01）， and the protein expression of MUC2 increased significantly （P<0.05， P<0.01）. The expression of MUC2 mRNA in each dose group of Zhengan Xifengtang increased significantly （P<0.05， P<0.01）. ConclusionZhengan Xifengtang may regulate the FXR-MLCK/p-MLC signaling pathway and enhance the expression of tight junction protein， thereby reducing intestinal mucosal permeability， promoting mucosal barrier repair， decreasing LPS release into the blood， and ultimately lowering blood pressure.

BACKGROUND:Degenerative scoliosis is defined as a condition that occurs in adulthood with a coronal cobb angle of the spine>10° accompanied by sagittal deformity and rotational subluxation,which often produces symptoms of spinal cord and nerve compression,such as lumbar pain,lower limb pain,numbness,weakness,and neurogenic claudication.The finite element method is a mechanical analysis technique for computer modelling,which can be used for spinal mechanics research by building digital models that can realistically restore the human spine model and design modifications. OBJECTIVE:To review the application of finite element method in the etiology and treatment of degenerative scoliosis. METHODS:The literature databases CNKI,PubMed,and Web of Science were searched for articles on the application of finite element method in degenerative scoliosis published before October 2023.Search terms were"finite element analysis,biomechanics,stress analysis,degenerative scoliosis,adult spinal deformity"in Chinese and English.Fifty-four papers were finally included. RESULTS AND CONCLUSION:(1)The biomechanical findings from the degenerative scoliosis model constructed using the finite element method were identical to those from the in vivo experimental studies,which proves that the finite element method has a high practical value in degenerative scoliosis.(2)The study of the etiology and treatment of degenerative scoliosis by the finite element method is conducive to the prevention of the occurrence of the scoliosis,slowing down the progress of the scoliosis,the development of a more appropriate treatment plan,the reduction of complications,and the promotion of the patients'surgical operation.(3)The finite element method has gradually evolved from a single bony structure to the inclusion of soft tissues such as muscle ligaments,and the small sample content is increasingly unable to meet the research needs.(4)The finite element method has much room for exploration in degenerative scoliosis.

The auxin/indole-3-acetic acid (Aux/IAA) gene family is an important regulator for plant growth hormone signaling, involved in plant growth, development, as well as response to environmental stresses. In the present study, we identified SmIAA7 which is potentially associated with Salvia miltiorrhiza leaf development through comparatively analyzed the transcriptome data from different pinnate leaves. SmIAA7 was successfully isolated from S. miltiorrhiza using the specific primers. Then subsequent bioinformatic analysis, prokaryotic expression and purification, subcellular localization, and induction expression analysis under auxin and abiotic stress were performed. The full-length of SmIAA7 contained an ORF of 684 bp encoding a protein of 227 amino acid with a molecular weight of 25.3 kD. Conserved domain analysis showed that SmIAA7 contains the conserved Aux_IAA domain (pfam02309). Sequence analysis and phylogenetic tree analysis results indicated SmIAA7 was phylogenetically close to IAA7 and IAA14 from other plants, suggesting SmIAA7 involved in plant growth and development as well as response to environmental stresses. The prokaryotic expression vector pET28a-SmIAA7 was constructed and SmIAA7 recombinant protein was successfully expressed in E. coli Rosetta (DE3) strain. Subcellular localization experiment demonstrated that SmIAA7 localized in the nucleus of plant cells. Real-time fluorescence quantitative PCR results showed that the expression level of SmIAA7 was upregulated in response to auxin. Drought, low temperature, and salt stress significantly increased the transcript level of SmIAA7 gene. This study lays a foundation for further elucidating the role of SmIAA7 in leaf development, signal transduction, and stress defense in S. miltiorrhiza.