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.

Inflammatory bowel disease (IBD) is a chronic disorder characterized by recurrent mucosal inflammation. Although biologics and small-molecule therapies can effectively suppress inflammation, only 13%-34% of patients achieve deep histological remission, and most experience relapse within 2-3 years. Existing biomarkers, including C-reactive protein (CRP), fecal calprotectin, and endoscopic measures, have limited ability to detect subclinical molecular abnormalities, suggesting that disease-driving factors may persist even during clinical remission. Recently, Pang et al. reported a study in Science that investigated the role of epithelial cell-death signaling using a prospective adult IBD cohort comprising 80 participants and more than 900 biopsy specimens. By integrating bulk and spatial transcriptomics, patient-derived organoids, and 24-36 months of longitudinal follow-up, the authors characterized epithelial cell-death programs associated with IBD persistence. They found that the necroptosis-associated marker pRIPK3 could be detected in the absence of overt histological inflammation and persisted during advanced therapy. IFN‑γ and TNF reshaped the transcriptional landscape of specific colonic epithelial cells, inducing an inflammatory macrophage-like program termed cluster B and triggering RIPK1-independent RIPK3 signaling. This was followed by NOS2/iNOS-mediated mitochondrial apoptosis driving colonocyte death, whereas PUMA-dependent apoptosis contributed to intestinal stem-cell loss. Higher baseline pRIPK3 levels were associated with subsequent disease activity, although their independent predictive value remains to be established. These findings suggest that persistent IBD may reflect not only residual immune inflammation but also inflammation-induced pathological epithelial states. Future therapeutic strategies may therefore need to extend beyond inflammation control toward “molecular repair”, including targeting noncanonical RIPK3 signaling, modulating iNOS/PUMA-dependent mitochondrial apoptosis, and developing relapse-risk stratification strategies based on tissue biomarkers such as pRIPK3. Such approaches may help shift the therapeutic goal from “clinical remission” toward “molecular healing”.

Objective: To understand the moderating effect of cohabitation with parents on the association between peer dating behavior and sexual behaviors among secondary vocational school students, so as to provide a scientific basis for preventing sexual behaviors among secondary vocational school students. Methods: From March to April 2021, an electronic questionnaire survey was conducted among 3 180 students from 6 vocational schools in Shanghai (urban, suburban, exurban) and Shaanxi (Shangluo, Ankang, Baoji) using cluster sampling. Spearman correlation analysis was used to investigate the relationship of cohabitation with parents, peer dating behavior and sexual behaviors among secondary vocational school students. Binary Logistic regression analysis was performed to investigate the role of cohabitation with parents on peer dating behavior and sexual behaviors among secondary vocational students. Results: There was a significant negative between cohabitation with parents and sexual ( r =-0.04); and there was a positive correlation between peer dating behavior and sexual behaviors ( r =0.24), as well as cohabitation with parents and peer dating behavior ( r =0.04)( P <0.05). Multivariable Logistic regression analysis showed an association between peer dating behavior and the occurrence of sexual behaviors ( OR=2.79-12.95, P <0.05). Cohabitation with parents played a moderating role in the association between peer dating behavior and sexual behaviors, and a signification interaction was found between cohabitation with parents and reporting that a small part or about half of their peers had dating behavior ( OR =0.48, P <0.05). Conclusions The more peers dating behavior are associated with a higher risk of sexual behaviors among secondary vocational school students, and cohabitation with parents can partly reduce this risk. School and family sexuality education for secondary vocational students should be strengthened to improve their interpersonal skills and decision-making, and ability to resist peer pressure, so as to reduce their risk of sexual behaviors.

Objective To investigate the risk factors for pneumonia complicating infectious mononucleosis(IM)in adults and construct a nomogram prediction model.Methods A retrospective analysis was conducted on 198 IM patients admitted to the Second Affiliated Hospital of Air Force Medical University from January 2015 to December 2021.Patients were divided into pneumonia group(n=52)and non-pneumonia group(n=146)based on whether pulmonary infection occurred during hospitalization.The baseline data(age,gender,place of onset,etc.),clinical manifestations(maximum body temperature,lymph node enlargement,splenomegaly,etc.),and inflammatory indicators[white blood cell count(WBC),C-reactive protein(CRP),etc.]were compared between the two groups.Kaplan-Meier curves were plotted to analyze the key indicators affecting the hospital stay of IM patients.Multivariate logistic regression was used to analyze the independent risk factors for pneumonia complicating IM in adults and construct a nomogram prediction model based on the identified risk factors.The predictive efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve and the consistency of the model was assessed using the calibration curve.The fit of the model was evaluated using the Hosmer-Lemeshow test.Additionally,the sensitivity,specificity,and accuracy of the model were assessed using confusion matrix.Results Compared with non-pneumonia group,the pneumonia group had a significantly higher proportion of patients from rural areas,with body mass index(BMI)≥24 kg/m2,smoking history,hepatomegaly,fever duration of≥7 d,as well as increased total hospitalization costs and average daily hospitalization costs,and prolonged hospital stay(P<0.05).The proportion of patients with a history of antibiotic use was lower in the pneumonia group(P<0.05).Kaplan-Meier survival analysis showed that patients from rural areas,with BMI≥24 kg/m2,smoking history,no prophylactic use of antibiotics,fever duration≥7 d,and hepatomegaly had significantly prolonged hospital stays(P<0.05).Multivariate logistic regression analysis revealed that living in a rural area(OR=4.089,P<0.05),hepatomegaly(OR=4.082,P<0.05),and elevated WBC(OR=1.205,P<0.05)were independent risk factors for pneumonia complicating IM in adults,while the prophylactic use of antibiotics(OR=0.142,P<0.05)was an independent protective factor.The area under the ROC curve of the constructed nomogram prediction model was 0.827(95%CI 0.762-0.892),and the slope of the calibration curve was close to 1,and the Hosmer-Lemeshow test showed χ2=5.299,P=0.725,indicating good consistency and fit of the prediction model.The results of the confusion matrix assessment showed that the sensitivity of the model was 0.669(0.624-0.773),the specificity was 0.827(0.724-0.930),and the accuracy was 0.732(0.665-0.793).Conclusion The nomogram prediction model based on place of onset,hepatomegaly,the prophylactic use of antibiotics and WBC has excellent fit and discrimination,providing an effective quantitative tool for prognosis assessment of IM.

Acori Tatarinowii Rhizoma is the dried rhizome of Acorus tatarinowii in the family of Tennantiaceae, which has the efficacy of opening up the orifices and expelling phlegm, awakening the mind and wisdom, and resolving dampness and opening up the stomach. Modern studies have shown that volatile oil is the main active ingredient of Acori Tatarinowii Rhizoma, and α-asarone and β-asarone have been proved to be the active ingredients in the volatile oil of Acori Tatarinowii Rhizoma, with pharmacological effects such as anti-Alzheimer's disease, antiepileptic, anti-Parkinson's disease, antidepressant, anticerebral ischemia/reperfusion injury, anti-thrombosis, lipid-lowering, and antitumor. By summarising and outlining the pharmacological effects of α-asarone and β-asarone and elucidating the possible mechanisms of their pharmacological effects, we can provide theoretical basis for the further research and clinical application of Acori Tatarinowii Rhizoma.
Allylbenzene Derivatives ; Acorus/chemistry* ; Anisoles/chemistry* ; Rhizome/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Humans ; Animals

Hypertension is a major risk factor for cardiovascular diseases. Controlling blood pressure can reduce the incidence of cardiovascular events and mortality. The patients with hypertension are mainly treated with antihypertensive drugs. For the patients who can't achieve the target blood pressure with a single drug, comprehensive treatment strategies become particularly important. Chinese patent medicines are prepared by modern extraction and processing technology based on the basic theory of traditional Chinese medicine(TCM). Due to the stable antihypertensive effect, target organ protection, and synergistic effect with western medicine, Chinese patent medicines are becoming one of the effective options for the treatment of hypertension. At present, there are many systematic reviews on the treatment of hypertension with Chinese patent medicines, which makes it difficult for health policy makers and health service providers to choose the best evidence for the treatment. Umbrella review can integrate multiple systematic reviews to comprehensively assess the quality of evidence and potential bias, thereby providing high-quality evidence-based medicine basis for formulating clinical guidelines and optimizing treatment strategies. In this study, the systematic reviews/Meta-analysis of Chinese patent medicines in the treatment of essential hypertension were systematically searched. Sixty-nine articles were included for the umbrella review. Literature information was extracted, and the corrected covered area(CCA) was calculated to quantitatively evaluate the overlap degree of original studies in systematic reviews/Meta-analysis. The risk of bias in systematic reviews(ROBIS) tool and Cochrane RoB tool 2.0 were used to assess the risk of bias of the included studies. A Measure Tool to Assess Systematic Reviews 2(AMSTAR 2) was used to evaluate the methodological quality of systematic reviews/Meta-analysis. The quality of evidence was evaluated based on the Grade of Recommendations Assessment, Development and Evaluation(GRADE). The results showed that the Chinese patent medicines in the categories of treating wind, resolving stasis, and reinforcing healthy Qi were effective in lowering blood pressure. The Chinese patent medicines for resolving stasis combined with conventional treatment can lower blood pressure and the levels of low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride, and total cholesterol in the treatment of hypertension complicated with coronary heart disease and hypertension complicated with left ventricular hypertrophy. Moreover, the combined therapy can recover the interventricular septal thickness, left ventricular posterior wall thickness, left ventricular mass index, left ventricular end diastolic diameter, and left ventricular ejection fraction in the case of left ventricular hypertrophy. The Chinese patent medicines for resolving stasis and for replenishing Qi and restoring pulse can be used in combination with conventional treatment for hypertension complicated with arrhythmia, which can lower blood pressure while improving the outcome indicators such as the P-wave dispersion of arrhythmia, left atrial diameter, ejection fraction, heart rate, and recurrence time. Due to the heterogeneity, the efficacy evidence obtained by the umbrella review needs to be further verified through precise clinical studies and long-term follow-up.
Hypertension/physiopathology* ; Humans ; Drugs, Chinese Herbal/therapeutic use* ; Antihypertensive Agents/therapeutic use* ; Nonprescription Drugs/therapeutic use* ; Blood Pressure/drug effects*

Emodin is a hydroxyanthraquinone compound that is widely distributed and has multiple pharmacological activities, including anti-diarrheal, anti-inflammatory, and liver-protective effects. Research indicates that emodin may be one of the main components responsible for inducing hepatotoxicity. However, studies on the mechanisms of liver injury are relatively limited, particularly those related to bile acids(BAs) metabolism. This study aims to systematically investigate the effects of different dosages of emodin on BAs metabolism, providing a basis for the safe clinical use of traditional Chinese medicine(TCM)containing emodin. First, this study evaluated the safety of repeated administration of different dosages of emodin over a 5-week period, with a particular focus on its impact on the liver. Next, the composition and content of BAs in serum and liver were analyzed. Subsequently, qRT-PCR was used to detect the mRNA expression of nuclear receptors and transporters related to BAs metabolism. The results showed that 1 g·kg~(-1) emodin induced hepatic damage, with bile duct hyperplasia as the primary pathological manifestation. It significantly increased the levels of various BAs in the serum and primary BAs(including taurine-conjugated and free BAs) in the liver. Additionally, it downregulated the mRNA expression of farnesoid X receptor(FXR), retinoid X receptor(RXR), and sodium taurocholate cotransporting polypeptide(NTCP), and upregulated the mRNA expression of cholesterol 7α-hydroxylase(CYP7A1) in the liver. Although 0.01 g·kg~(-1) and 0.03 g·kg~(-1) emodin did not induce obvious liver injury, they significantly increased the level of taurine-conjugated BAs in the liver, suggesting a potential interference with BAs homeostasis. In conclusion, 1 g·kg~(-1) emodin may promote the production of primary BAs in the liver by affecting the FXR-RXR-CYP7A1 pathway, inhibit NTCP expression, and reduce BA reabsorption in the liver, resulting in BA accumulation in the peripheral blood. This disruption of BA homeostasis leads to liver injury. Even doses of emodin close to the clinical dose can also have a certain effect on the homeostasis of BAs. Therefore, when using traditional Chinese medicine or formulas containing emodin in clinical practice, it is necessary to regularly monitor liver function indicators and closely monitor the risk of drug-induced liver injury.
Emodin/administration & dosage* ; Bile Acids and Salts/metabolism* ; Animals ; Male ; Liver/injuries* ; Chemical and Drug Induced Liver Injury/genetics* ; Drugs, Chinese Herbal/adverse effects* ; Humans ; Rats, Sprague-Dawley ; Mice ; Rats

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

Objective:To investigate the relationship between the severity of pharyngolaryngeal sensory impairment and swallowing biomechanics as well as the risk of penetration-aspiration in patients with dysphagia following infratentorial stroke.Methods:This retrospective cross-sectional study enrolled 51 patients with dysphagia following infratentorial stroke hospitalized in the Department of Rehabilitation Medicine of The Third Affiliated Hospital of Sun Yat-sen University between January 2022 and December 2023. Participants were categorized into three groups: normal sensation group [15 males, 2 females; age range 29-76 (56.0±13.3)years], diminished sensation group[16 males, 3 females; age range 38-80(62.0±11.8)years], and absent sensation group [14 males, 1 female; age range 44-75 (60.0±9.7)years]. All patients underwent laryngoscopy and videofluoroscopic swallowing study, which included pharyngolaryngeal sensory testing and Penetration-Aspiration Scale assessment. Swallowing temporal parameters were quantitatively analyzed. Group comparisons for different variable types were conducted using the Chi-square test, one-way ANOVA, and the Kruskal-Wallis test. The correlation between sensory groups and Penetration-Aspiration Scale scores was assessed using Spearman′s correlation analysis. Logistic regression was employed to analyze the impact of pharyngolaryngeal sensory function on penetration-aspiration events.Results:Among the 51 patients, 33.33% (17/51) had normal pharyngolaryngeal sensation, while, 66.67% (34/51) exhibited sensory impairment. The normal sensation group exhibited a significantly longer laryngeal vestibule closure (LVC) time [792 (643, 1 205) ms] compared to the diminished [528 (380, 776) ms] and absent sensation groups [380 (322, 404) ms] ( H=6.502, P=0.039). Additionally, the upper esophageal sphincter opening time was longer in the normal sensation group than in the absent sensation group [528 (371, 710) ms vs 182 (0, 710) ms, H=6.003, P=0.049]. Correlation analysis indicated a significant negative correlation between the severity of sensory impairment and Penetration-Aspiration Scale scores ( r=-0.366, P=0.008). Logistic regression analysis demonstrated that greater sensory impairment was an independent risk factor for penetration-aspiration ( OR=9.29, 95%CI=1.57-54.77, P=0.014). Conclusion:Pharyngolaryngeal sensory deficits are common after infratentorial stroke dysphagia and are significantly associated with impaired swallowing biomechanics and increased aspiration risk. The severity of sensory deficit is a key determinant of penetration-aspiration risk, highlighting its value in risk stratification and therapeutic decision-making for dysphagia.