Background: High-mobility group box protein 1 (HMGB1) is a chromatin-binding protein involved in arthritis, ischemia, sepsis, atherosclerosis, neurodegenerative disorders, meningitis, and cancer. HMGB1 exhibits dual roles in cancer, acting as either a tumor suppressor or oncoprotein depending on context. Objective: This research aimed to elucidate HMGB1’s functional significance in cutaneous squamous cell carcinoma (cSCC). Methods: We overexpressed HMGB1 in cSCC cell lines using recombinant adenovirus and examined its effects on cell proliferation, colony formation, and cell migration. Results: Immunohistochemical analysis revealed elevated HMGB1 expression levels in cSCC tissue relative to normal epidermis. To assess the influence of HMGB1, we employed recombinant adenoviruses expressing HMGB1 to transduce SCC cell lines (SCC12 and SCC13). Enhanced HMGB1 expression significantly promoted cellular proliferation and colony formation capacity.Notably, HMGB1 overexpression elevated the levels of proliferation regulators, including P63, SOX2, CDK4 and CDK6. Furthermore, HMGB1 overexpression substantially enhanced tumor invasiveness, accompanied by upregulation of epithelial-mesenchymal transition (EMT) biomarkers. Mechanistically, overexpression of HMGB1 enhanced transforming growth factor-β signaling by increasing phosphorylation of SMAD2/3, the key mediators of EMT. Conclusion These data imply that HMGB1 acts as a tumor-promoting factor in cSCC.

Background: and Purpose Therapeutic target selection in noninvasive brain stimulation for poststroke motor recovery typically relies on the interhemispheric inhibition model, which is effective for mildly affected patients but offers limited benefits for severely affected individuals. The mechanisms governing recovery from moderate-to-severe stroke remain poorly understood, which hinders the development of targeted interventions. Methods: We analyzed resting-state functional magnetic resonance imaging data from patients with unilateral subcortical stroke and moderate-to-severe upper limb deficits, both pre- and postintervention, along with data from healthy controls. We developed a novel dynamic lag analysis method for identifying recovery-related homotopic sensorimotor regions with altered interhemispheric interactions. To further uncover the global reorganization pathway, we developed dynamic lateralization approaches to detect large-scale functional connectivity (FC) alterations associated with the identified regions in transient lateralization states. Results: Dynamic time-lag analysis revealed significantly reduced synchronized states in the homotopic dorsal premotor cortex (PMd) post-intervention compared with pre-intervention, which correlated with motor recovery. Further dynamic lateralization analysis revealed a prolonged segregation state in patients, characterized by weakened interhemispheric and strengthened intrahemispheric interactions. In this state, patients showed decreased FC in the ipsilesional PMd and increased FC in the contralesional PMd with bilateral subcortical networks. These recoveryrelated alterations were absent in the traditional static analysis. Conclusions Dynamic analyses targeting interhemispheric interactions are valuable for understanding neural reorganization after stroke. The diminished interactions between the homotopic PMd indicate a compensatory mechanism. Importantly, a state-dependent compensatory pathway was identified, wherein the contralesional PMd assumes the functions of the ipsilesional PMd through enhanced interactions with subcortical structures, potentially guiding more effective interventions.

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.

Diabetic retinopathy (DR) is one of the most prevalent and vision-threatening microvascular complications of diabetes mellitus, yet its pathogenesis extends far beyond vascular injury alone. As the retina is among the most energy-demanding tissues in the body, its neurons, glial cells, pigment epithelial cells, pericytes, and endothelial cells are highly dependent on mitochondrial oxidative phosphorylation to maintain visual signal transduction, ionic homeostasis, and neurovascular integrity. This review summarizes current evidence indicating that mitochondrial dysfunction is not merely a downstream consequence of chronic hyperglycemia, but a central pathogenic hub that initiates, amplifies, and perpetuates retinal neurovascular degeneration in DR. Persistent hyperglycemia activates multiple abnormal metabolic pathways, including the polyol pathway, hexosamine pathway, protein kinase C signaling, advanced glycation end-product formation, and angiotensin II-related responses. Although these pathways differ mechanistically, they converge on excessive reactive oxygen species (ROS) generation, antioxidant depletion, and mitochondrial injury. Under diabetic stress, electron transport chain overload promotes mitochondrial ROS leakage, damages mitochondrial DNA, disrupts membrane potential, and impairs the transcription of key respiratory chain components. In parallel, mitochondrial quality-control systems become progressively compromised. The balance between fusion and fission shifts toward pathological fragmentation through reduced MFN1/2 and OPA1 activity and enhanced DRP1-mediated fission. Mitochondrial biogenesis is suppressed through inhibition of the AMPK/SIRT1/PGC-1α/NRF1/TFAM axis, while mitophagy changes from an early compensatory response to a later state of autophagic flux blockade and accumulation of dysfunctional mitochondria. Importantly, damaged mitochondria serve as signal amplifiers linking metabolic stress to inflammation and programmed cell death. Mitochondrial ROS, oxidized mitochondrial DNA, calcium overload, cardiolipin exposure, and membrane permeabilization activate interrelated death pathways, including intrinsic apoptosis, ferroptosis, and pyroptosis. Cytochrome C and apoptosis-inducing factor promote caspase-dependent and caspase-independent apoptosis; iron dyshomeostasis, glutathione depletion, GPX4 dysfunction, and lipid peroxidation drive ferroptosis; and mitochondrial danger signals activate the NLRP3 inflammasome and gasdermin-dependent pyroptosis. These pathways jointly damage the retinal neurovascular unit and contribute to pericyte loss, endothelial barrier breakdown, Müller cell dysfunction, retinal ganglion cell apoptosis, retinal pigment epithelial injury, and photoreceptor degeneration. This review also emphasizes the role of epigenetic regulation in stabilizing mitochondrial pathology. DNA methylation, histone modifications, and non-coding RNAs interact to silence mitochondrial protective genes, alter antioxidant responses, and maintain the “metabolic memory” of DR even after glycemic normalization. Therefore, mitochondrial dysfunction should be understood as a dynamic, multidimensional network rather than a single pathological event. Current clinical approaches, such as laser photocoagulation, intravitreal anti-VEGF therapy, and vitrectomy, mainly target advanced vascular lesions and are limited by invasiveness, incomplete responsiveness, recurrence, and potential adverse effects. Therapeutically, strategies targeting mitochondrial ROS, restoring mitochondrial dynamics, enhancing biogenesis, regulating mitophagy, inhibiting inflammasome activation, correcting epigenetic abnormalities, and improving targeted delivery systems show promising potential. However, major translational barriers remain, including retinal cell heterogeneity, stage-specific mitochondrial responses, insufficient organelle-specific drug delivery, and long-term safety concerns. A deeper understanding of mitochondrial regulatory networks may support earlier, more precise, and multi-target interventions for preventing or slowing DR progression.

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.

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 To explore the effect and mechanism of Gegen Qinlian decoction (GQD) on myocardial injury induced by high-fat diet combined with streptozotocin in type 2 diabetic mice through network pharmacology and animal experiments. MethodsNetwork pharmacology was applied to screen the potential signaling pathways of GQD in the intervention of diabetic heart disease (DHD). A total of 36 specific pathogen-free (SPF) male C57BL/6J mice aged 8 weeks were acclimatized for 1 week and randomly divided into a normal control group (n=6) and a model group (n=30). Mice in the model group were fed a 60% high-fat diet and 5% glucose water for 4 weeks, and were intraperitoneally injected with 100 mg/kg streptozotocin after 12 h of fasting to establish the type 2 diabetes model. Mice in the normal control group were given a conventional diet and drinking water, and were intraperitoneally injected with an equal volume of citrate buffer after 12 h of fasting at the same time point. After successful establishment of the diabetic mouse model, the model mice were randomly divided into five groups according to body weight: model control group, GQD low-dose group, GQD medium-dose group, GQD high-dose group, and metformin positive control group, with 6 mice in each group. After 6 weeks of intragastric administration of corresponding doses of GQD, metformin, and ddH₂O respectively, all mice in the six groups (one normal control group and five model groups) were anesthetized with inhaled 2% isoflurane, blood samples were collected via eyeball enucleation, and heart tissues were harvested after euthanasia by cardiac exsanguination. Hematoxylin-eosin (HE) staining and wheat germ agglutinin (WGA) staining were performed to observe the pathological damage of myocardial tissues and measure the cross-sectional area of cardiomyocytes. Enzyme-linked immunosorbent assay (ELISA) was used to measure the levels of pro-inflammatory cytokines in serum. Immunohistochemical staining was adopted to determine the protein expression levels of receptor for advanced glycation end products (RAGE), nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3), and phosphorylated nuclear factor-κB p65 (p-p65) in myocardial tissues. ResultsNetwork pharmacology analysis revealed that the targets of GQD against DHD were significantly enriched in inflammatory pathways, including the advanced glycation end products (AGEs)-RAGE axis, tumor necrosis factor (TNF) and interleukin-17 (IL-17) signaling pathways. HE and WGA staining results showed that, compared with the normal control group, the model control group exhibited myocardial fiber rupture, cardiomyocyte swelling, and significantly increased cardiomyocyte cross-sectional area (P<0.05). Compared with the model control group, GQD intervention significantly ameliorated the pathological changes, including myocardial fiber rupture, cell swelling, and cardiomyocyte hypertrophy. The results of immunohistochemical staining and ELISA indicated that compared with the model control group, GQD intervention markedly downregulated the protein expression of RAGE, NLRP3, and p-p65 in myocardial tissues, as well as the levels of serum pro-inflammatory cytokines (P<0.05). ConclusionGQD can effectively alleviate myocardial pathological injury in diet-induced type 2 diabetic mice, and its mechanism may be related to inhibiting the activation of the RAGE/p-p65/NLRP3 signaling pathway and reducing myocardial inflammatory response.

Objective: To examine the association between parent-child relationships and bullying behaviors among junior high school students, and to explore the moderating effect of community cohesion, so as to provide evidences for bullying intervention strategies. Methods: From November to December 2017, a cluster sampling method was used to survey 1 589 students in grades 6- 8 from three junior high schools in Jing an District,Shanghai. Anonymous electronic questionnaires collected data on parent-child relationships, community cohesion, and bullying behaviors. Multivariate Logistic regression analyzed the associations and moderation effects. Results: The prevalence of bullying behaviors among junior high school students was 7.80%. Spearman correlation analysis revealed negative associations between both parent-child relationships ( r =-0.13) and community cohesion ( r =-0.10) with bullying behaviors, while parent-child relationships positively correlated with community cohesion ( r =0.29) (all P <0.01). Junior high school students with positive parent-child relationships and higher perceived community cohesion showed lower risks of bullying behaviors ( OR=0.51, 95%CI =0.36-0.72; OR=0.58, 95%CI =0.45-0.76), with a significant interaction effect between the two factors (all P <0.05). Conclusions Positive parent-child relationships and community cohesion are negatively associated with bullying behaviors in middle school students. Supportive family relationships help reduce bullying, while stronger community cohesion enhances the protective effect of positive parent-child relationships against bullying.

ObjectiveTo observe the clinical efficacy of the stasis-dispelling and detoxifying therapy in endometriosis （EMs） patients with the syndrome of kidney deficiency and blood stasis and the effects of this therapy on the expression levels of proteins related to the c-Jun N-terminal kinase （JNK） signaling pathway. MethodsA total of 72 patients with EMs due to kidney deficiency and blood stasis who met the criteria at the Integrated Traditional Chinese and Western Medicine Center for Reproduction and Genetics of the Affiliated Hospital of Shandong University of Traditional Chinese Medicine from March 2024 to February 2025 were selected and randomized into a treatment group and a control group， with 36 patients in each group. Another 36 patients undergoing in vitro fertilization-embryo transfer （IVF-ET） due to male factors alone were selected as the blank group. The treatment group took the Zishen Quyu Jiedu formula orally， while the control group and the blank group took placebos. The treatment course encompassed the cycle before ovarian stimulation and the oocyte retrieval cycle. The TCM syndrome score of kidney deficiency and blood stasis， as well as the serum level of cancer antigen 125 （CA125）， were evaluated at the time of enrollment （before treatment） and on the trigger day （after treatment）. Serum levels of sex hormones were measured on day 2 of the menstrual cycle. On the trigger day， the duration and dosage of gonadotropin （Gn） administration and the serum levels of hormones on the day of human chorionic gonadotropin （HCG） injection were assessed. Embryo outcomes were evaluated 3 days after oocyte retrieval， and clinical pregnancy rates were assessed 28 days after embryo transfer. The baseline data of three groups were observed. The TCM syndrome scores and serum CA125 levels before and after treatment were compared between the treatment and control groups. The baseline endocrine levels， Gn days， Gn dosage， hormone levels on the day of HCG administration， number of oocytes retrieved， number of 2 pronucleus （2PN） fertilizations， number of available embryos， high-quality embryo rate， and clinical pregnancy rate were also assessed in all three groups. Six patients from each group were selected for determination of the protein levels of JNK， c-Jun， and nuclear receptor subfamily 4 group A member 2 （NR4A2） in ovarian granulosa cells （GCs） on the day of oocyte retrieval by Western blot. Results（1） There were no statistically significant differences in the baseline data among three groups， indicating comparability. （2） Compared with the baseline within the same group， the treatment group showed a decrease in the syndrome score of kidney deficiency and blood stasis after treatment. After treatment， serum CA125 levels decreased in both groups （P<0.05）， with a more substantial reduction in the treatment group， resulting in a difference between the two groups （P<0.05）. （3） There were no significant differences among three groups in terms of baseline serum levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， estradiol （E₂）， and progesterone （P）， as well as the duration and dosage of Gn administration and the serum levels of LH， E₂， and P on the day of HCG administration. （4） For embryo outcomes， the number of oocytes retrieved， 2PN fertilizations， available embryos， and high-quality embryo rates in the treatment group and the blank group were higher than those in the control group （P<0.05）， and the treatment group and the blank group had similar 2PN fertilizations. （5） There were differences in clinical pregnancy rate among three groups （P<0.05）， and the treatment group had higher pregnancy rate than the control and blank groups. （6） The protein levels of JNK， c-Jun， and NR4A2 in the GCs of the treatment group were lower than those in the control group （P<0.01） and close to those in the blank group （P<0.01）. （7） No obvious adverse reactions were observed in any of the subjects during the clinical observation process. ConclusionZishen Quyu Jiedu formula can ameliorate the clinical symptoms of patients with EMs due to kidney deficiency and blood stasis， reduce the serum CA125 level， increase the number of oocytes retrieved， 2PN fertilizations， available embryos， and high-quality embryo rate， and improve pregnancy outcomes. The mechanism may involve downregulating the levels of JNK， c-Jun， and NR4A2 to reduce the apoptosis of ovarian GCs and improve the ovarian function in the patients.