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.

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 investigate the role of Gasdermin E (GSDME) -mediated keratinocyte pyroptosis induced by Cutibacterium acnes ( C.acnes) in the pathogenesis of acne. Methods:The human immortalized keratinocyte HaCaT cells were stimulated with heat-inactived C.acnes for 15 minutes to 24 hours, and Western blot analysis was performed to determine the expression of cleaved GSDME (GSDME-NT) in HaCaT cells at different time points. Skin tissue samples were collected from 5 acne patients and 4 healthy controls, who visited the Hospital for Skin Diseases, Chinese Academy of Medical Sciences from January 2 to December 1, 2024; additionally, 3 samples of acne cyst contents and 3 samples of normal follicle contents were collected. Immunohistochemical study and Western blot analysis were conducted to determine GSDME-NT expression in the epidermis. Enzyme-linked immunosorbent assay (ELISA) was performed to detect levels of interleukin (IL) -1β and tumor necrosis factor (TNF) -α in acne cyst or normal follicle contents. GSDME-knockdown HaCaT cells were constructed by transfection with lentivirus carrying GSDME-shRNA, and HaCaT cells transfected with lentivirus carrying the nonsense sequence control (NC) served as controls; ELISA was performed to detect the levels of IL-1β and TNF-α in GSDME-knockdown HaCaT cells after C. acnes stimulation ( C. acnes + GSDME knockdown group) , as well as in the phosphate-buffered saline (PBS) + NC group, C. acnes + NC group, and PBS + GSDME knockdown group. Western blot analysis was conducted to determine the GSDME-NT expression in HaCaT cells pretreated with or without retinol after C. acnes stimulation. Results:The cleavage of GSDME in HaCaT cells began at 1 hour after in vitro C. acnes stimulation, and GSDME-NT could be detected at this time. Compared with the control epidermis, the proportion of GSDME-NT-positive HaCaT cells (9.34% ± 2.92% vs. 3.05% ± 1.14%, t = -3.47, P = 0.026) and GSDME-NT protein expression levels ( t = -3.51, P = 0.025) significantly increased in the lesional epidermis of acne patients. The levels of IL-1β and TNF-α were significantly higher in the acne cyst contents than in the normal follicle contents (IL-1β: 1 337.24 [1 182.32, 2 230.61] pg/ml vs. 0.00 [0.00, 108.21] pg/ml, Z = 1.99, P = 0.046; TNF-α: 811.31 [438.26, 817.73] pg/ml vs. 46.67 [12.41, 53.21] pg/ml, Z = 1.96, P = 0.049) . ELISA showed that the levels of IL-1β and TNF-α were significantly higher in the C. acnes + NC group (12.12 ± 3.07 pg/ml, 26.06 ± 1.57 pg/ml, respectively) than in the PBS + NC group (3.73 ± 2.24 pg/ml, 10.14 ± 0.79 pg/ml, P = 0.003, < 0.001, respectively) ; compared with the C. acnes + NC group, the levels of IL-1β and TNF-α significantly decreased in the C. acnes + GSDME knockdown group (3.38 ± 0.93 pg/ml, 12.67 ± 2.10 pg/ml, P = 0.003, < 0.001, respectively) . The GSDME-NT expression was significantly lower in the retinol + C. acnes group than in the C. acnes group ( P = 0.029) . Conclusion:C. acnes may induce GSDME-mediated pyroptosis in keratinocytes, thereby promoting the release of inflammatory factors and aggravating the inflammatory response in acne, while retinol may be able to inhibit this process.

Objective To explore the risk factors for 28-day mortality of sepsis-associated acute kidney injury(SA-AKI)patients and to develop a nomogram risk prediction model.Methods A retrospective cohort study was conducted,involving 184 patients with SA-AKI admitted to the intensive care unit(ICU)of the 940th Hospital of Joint Logistic Support Force of PLA between January 2017 and December 2022.Patients were categorized into survival(n=135)and non-survival(n=49)groups based on 28-day mortality.Clinical data were collected,and statistically significant risk factors were preliminarily screened.Multivariate stepwise logistic regression analysis was performed to identify independent risk factors for 28-day mortality of SA-AKI patients.A nomogram predictive model was constructed using these factors,and internally validated with the Bootstrap method.The receiver operating characteristic curve(ROC curve)was drawn,and the area under the ROC curve(AUC)was calculated to verify the predictive value and accuracy of the model.Results The 28-day mortality rate among 184 SA-AKI patients was 26.6％(49/184).Multivariate stepwise logistic regression analysis identified multiple organ dysfunction syndrome(MODS)(OR=16.393,95％CI 4.317-62.254,P＜0.001),high acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(OR=1.097,95％CI 1.036-1.161,P=0.002),low oxygenation index(OR=0.992,95％CI 0.986-0.998,P=0.015),low neutrophil count(OR=0.912,95％CI 0.860-0.968,P=0.002)and low fibrinogen concentration(OR=0.733,95％CI 0.549-0.978,P=0.034)as independent risk factors.The prediction model equation was P=1/1+e-logit(P),logit(P)=-1.626+2.797×MODS+0.092×AP ACHE Ⅱ+(-0.311)×fibrinogen+(-0.092)×neutrophil count+(-0.008)×oxygenation index.Internal validation with 1000 Bootstrap resamples showed high consistency between predicted and actual values.ROC analysis showed an AUC of 0.911(95％CI 0.868-0.955,P＜0.05)for the model,with 93.9％sensitivity and 78.5％specificity at a cut-off of 0.194.The Hosmer-Lemeshow test confirmed good calibration(P=0.62),and decision-making curve analysis demonstrated clinical utility within the high-risk threshold range(0.1-0.9).Conclusions MODS,high APACHE Ⅱ score,low oxygenation index,low neutrophil count,and low fibrinogen concentration are independent risk factors for 28-day mortality in SA-AKI patients.The developed nomogram risk prediction model may provide important guidance for predicting 28-day mortality in SA-AKI patients.

Objective To investigate the risk factors and clinical significance of layered plaques that were detected by optical coherence tomography(OCT)in patients with angiographically intermediate coronary lesions,and relationship with prognosis.Methods This was a signal-center retrospective study focusing on patients whom underwent coronary angiography and OCT.The layered plaque group and non-layered plaque group were divided according to the presence or absence of stratified plaque.Clinical data,laboratory indicators,angiography,and OCT results were collected and compared between the two groups.Using logistic regression to analyze the relationship between stratified plaques and clinical features;Cox regression analysis was used to investigate the influencing factors of cardiovascular adverse events in patients with critical coronary artery disease.Results A total of 172 patients were enrolled,including 96 patients in non-layered plaque group and 76 patients in layered plaque group.Male(OR 2.415,95％CI 1.162-5.020,P=0.018),diabetes(OR 2.505,95％CI 1.137-5.525,P=0.023)and history of hyperlipidemia(OR 3.590,95％CI 1.478-6.333,P=0.003)were independent risk factors for stratified plaque.In OCT analysis,the proportion of thin-cap fibroatheroma(TCFA)plaque,macrophage infiltration,microvascularization,thrombosis,plaque rupture,and intimal dissection,as well as lipid plaque length,lipid plaque arc,and lipid plaque index were higher in the layered plaque group.After adjusting for other risk factors,macrophage infiltration is independently associated with stratified plaques(OR 2.106,95％CI 1.019-4.353,P=0.044).Kaplan-Meier survival analysis showed that the target lesion revascularization rate in the layered plaque group was higher than that in the non-layered plaque group(Log-rank P=0.030).Cox regression analysis shows that it has both stratified plaque and thin fibrous membrane plaque characteristics was an independent predictor of cardiovascular adverse events(HR 5.165,95％CI 1.696-15.727,P=0.004).Conclusions In patients with angiographically intermediate coronary lesions,OCT detection of stratified lesions is often accompanied by other unstable plaque features,indicating an increased risk of adverse cardiovascular events.Simultaneously possessing features of stratified plaques and TCFA is an independent predictor of adverse cardiovascular events in patients with critical coronary artery disease.

Objective To analyze the effects of irbesartan(IBN)regulating the stromal cell-derived factor-1(SDF-1)/CXC chemokine receptor 4(CXCR4)pathway on proliferation,migration,and radiosensitivity of lung cancer cells.Methods Human lung cancer A549 cells were randomly divided into the A549 group(without treatment),radiation group(4 Gy X-ray radiation),IBN group(1 μmol/L IBN treatment for 24 hours),IBN+radiation group(1 μmol/L IBN treatment for 24 hours+4 Gy X-ray radiation),pcDNA3.1 group(transfected with pcDNA3.1+1 μmol/L IBN treatment for 24 hours+4 Gy X-ray radiation),and SDF-1 group(transfected with pcDNA3.1 SDF-1+1 μmol/L IBN treatment for 24 hours+4 Gy X-ray radiation).The cell viability,colony formation,apoptosis,and migration of each group were observed.The leakage rate of lactate dehydrogenase(LDH)and Ang Ⅱ levels in cells were detected.Immunofluorescence method was applied to analyze the number of γH2AX focal points of cells in each group.Western blot was applied to detect the expression of proliferation and apoptosis related proteins and SDF-1/CXCR4 pathway related proteins.Results Both radiation and IBN treatment inhibited the proliferation and migration of A549 cells,promoted cell apoptosis,upregulated the number of γH2AX focal points and LDH leakage rate,upregulated the expression of Caspase-3,Bax,and Caspase-7,and downregulated the level of Ang Ⅱand expression of SDF-1,CXCR4,Bcl-2 and PCNA(P<0.05).The combined treatment of radiation and IBN further enhanced the changes of the above indicators(P<0.05).And SDF-1 treat-ment effectively reversed the effects of radiation and IBN treatment on the changes of the above indicators(P<0.05).Conclusion IBN can limit proliferation and migration of lung cancer cells,and increase radiosensitivity by inhibiting the SDF-1/CXCR4 pathway.

Objective:To investigate the role of Gasdermin E (GSDME) -mediated keratinocyte pyroptosis induced by Cutibacterium acnes ( C.acnes) in the pathogenesis of acne. Methods:The human immortalized keratinocyte HaCaT cells were stimulated with heat-inactived C.acnes for 15 minutes to 24 hours, and Western blot analysis was performed to determine the expression of cleaved GSDME (GSDME-NT) in HaCaT cells at different time points. Skin tissue samples were collected from 5 acne patients and 4 healthy controls, who visited the Hospital for Skin Diseases, Chinese Academy of Medical Sciences from January 2 to December 1, 2024; additionally, 3 samples of acne cyst contents and 3 samples of normal follicle contents were collected. Immunohistochemical study and Western blot analysis were conducted to determine GSDME-NT expression in the epidermis. Enzyme-linked immunosorbent assay (ELISA) was performed to detect levels of interleukin (IL) -1β and tumor necrosis factor (TNF) -α in acne cyst or normal follicle contents. GSDME-knockdown HaCaT cells were constructed by transfection with lentivirus carrying GSDME-shRNA, and HaCaT cells transfected with lentivirus carrying the nonsense sequence control (NC) served as controls; ELISA was performed to detect the levels of IL-1β and TNF-α in GSDME-knockdown HaCaT cells after C. acnes stimulation ( C. acnes + GSDME knockdown group) , as well as in the phosphate-buffered saline (PBS) + NC group, C. acnes + NC group, and PBS + GSDME knockdown group. Western blot analysis was conducted to determine the GSDME-NT expression in HaCaT cells pretreated with or without retinol after C. acnes stimulation. Results:The cleavage of GSDME in HaCaT cells began at 1 hour after in vitro C. acnes stimulation, and GSDME-NT could be detected at this time. Compared with the control epidermis, the proportion of GSDME-NT-positive HaCaT cells (9.34% ± 2.92% vs. 3.05% ± 1.14%, t = -3.47, P = 0.026) and GSDME-NT protein expression levels ( t = -3.51, P = 0.025) significantly increased in the lesional epidermis of acne patients. The levels of IL-1β and TNF-α were significantly higher in the acne cyst contents than in the normal follicle contents (IL-1β: 1 337.24 [1 182.32, 2 230.61] pg/ml vs. 0.00 [0.00, 108.21] pg/ml, Z = 1.99, P = 0.046; TNF-α: 811.31 [438.26, 817.73] pg/ml vs. 46.67 [12.41, 53.21] pg/ml, Z = 1.96, P = 0.049) . ELISA showed that the levels of IL-1β and TNF-α were significantly higher in the C. acnes + NC group (12.12 ± 3.07 pg/ml, 26.06 ± 1.57 pg/ml, respectively) than in the PBS + NC group (3.73 ± 2.24 pg/ml, 10.14 ± 0.79 pg/ml, P = 0.003, < 0.001, respectively) ; compared with the C. acnes + NC group, the levels of IL-1β and TNF-α significantly decreased in the C. acnes + GSDME knockdown group (3.38 ± 0.93 pg/ml, 12.67 ± 2.10 pg/ml, P = 0.003, < 0.001, respectively) . The GSDME-NT expression was significantly lower in the retinol + C. acnes group than in the C. acnes group ( P = 0.029) . Conclusion:C. acnes may induce GSDME-mediated pyroptosis in keratinocytes, thereby promoting the release of inflammatory factors and aggravating the inflammatory response in acne, while retinol may be able to inhibit this process.

At present,the diagnostic criteria for acute severe autoimmune hepatitis(AS-AIH)include acute onset,consistency with the diagnostic criteria for autoimmune hepatitis(AIH),presence of jaundice,and international normalized ratio≥1.5 at the time of diagnosis,without evidence of hepatic encephalopathy or previous liver disease.As a special subtype of AIH,AS-AIH is characterized by acute onset and rapid disease progression,and thus early diagnosis is of vital importance.Glucocorticoid therapy should be given as early as possible after diagnosis to prevent the progression to acute liver failure and reduce the risk of liver transplantation.Management of AS-AIH patients is challenging,since patients often lack typical clinical features and histological manifestations of AIH at the time of diagnosis,and early assessment of glucocorticoid response and a treatment regimen with proper doses are important for improving the prognosis of patients.

ObjectiveTo explore the effect of a novel initiation model on initiating behavioral requests in children with autism spectrum disorder (ASD). MethodsFrom November to December, 2022, 44 children with ASD were selected from Jiaxing Sunlight Rehabilitation Kindergarten, and divided into prelinguistic group (n = 23) and linguistic group (n = 21) according to the language function. The initiation-requested skills, and types and frequency of initiation-requested behaviors were observed under the novel initiation model and the conventional initiation model. ResultsBoth the groups scored higher in the novel initiation model than in the conventional initiation model for initiation-requested skills (|t| > 2.794, P < 0.05) and types of initiation-requested behaviors (|t| > 3.697, P < 0.01), and it increased for the frequency of the use of two- and three-behavioral initiation of requests (χ² > 7.986, P < 0.05). ConclusionThe novel initiation model can improve initiation request skills in children with ASD.

Combined seawater Hf and Nd isotope compositions have been applied as reliable tracers of water mass mixing and weathering input changes.The establishment of standardized synchronous extraction methods for Fe-Mn oxyhydroxide in sediments,which serve as effective carriers for isotopic signals of ancient seawater,is a prerequisite and key for paleoceanography research.The research material of this study was the surface sediments of the Western Arctic Ocean obtained from China's 7th Arctic Scientific Expedition,and a reliable simultaneous Nd-Hf isotope extraction method in Fe-Mn oxyhydroxide fraction was established through systematic optimization of pretreatment procedures and key extraction parameters.This research focused on analyzing the effects of pretreatment(Milli-Q water pre-wash)and key extraction parameters(leaching time,solution/solid ratios,concentration of EDTA-2Na,and concentration of mixed solution of hydroxyamine hydrochloride(HH)and acetic acid(HAc))on element extraction efficiency and isotopic composition.The experimental results indicated that the Milli-Q water pre-wash was not necessary,Fe-Mn oxyhydroxide extraction could be directly performed.Nd extraction amount in Fe-Mn oxyhydroxide fraction was not sensitive to changes in extraction conditions,while the Hf extraction amount was significantly affected by leaching time,solution/solid ratios and concentration of EDTA-2Na.The optimal conditions for synchronously extracting Nd-Hf isotopes were as follows:adding 20 mL of a mixed solution of 0.005 mol/L HH+1.5%HAc+0.03 mol/L EDTA-2Na per gram of sample,and reaction at room temperature for 3 h under shaking.Through systematic verification of 87Sr/86Sr ratio,εNd value,εHf value,Al/Nd ratio and Al/Hf ratio,it was confirmed that this method could effectively avoid interferences from residual components and accurately obtain Nd-Hf isotope signals of ancient seawater preserved in sediments.The standardized method established in this work provided reliable technical support for reconstructing water mass mixing between the Arctic,North Atlantic,and North Pacific Oceans and riverine input histories.It also provided important reference for the extraction methods of Nd and Hf isotopes from marine sources in sediments from other sea areas around the world.