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.

ObjectiveThe proteome of biological evidence contains rich genetic information, namely single amino acid polymorphisms (SAPs) in protein sequences. However, due to the lack of efficient and convenient analysis tools, the application of SAP in public security still faces many challenges. This paper aims to meet the application requirements of SAP analysis for forensic biological evidence’s proteome data. MethodsThe software is divided into three modules. First, based on a built-in database of common non-synonymous single nucleotide polymorphisms (nsSNPs) and SAPs in East Asian populations, the software integrates and annotates newly identified exonic nsSNPs as SAPs, thereby constructing a customized SAP protein sequence database. It then utilizes a pre-installed search engine—either pFind or MaxQuant—to perform analysis and output SAP typing results, identifying both reference and variant types, along with their corresponding imputed nsSNPs. Finally, SAPTyper compares the proteome-based typing results with the individual’s exome-derived nsSNP profile and outputs the comparison report. ResultsSAPTyper accepts proteomic DDA mass spectrometry raw data (DDA acquisition mode) and exome sequencing results of nsSNPs as input and outputs the report of SAPs result. The pFind and Maxquant search engines were used to test the proteome data of 2 hair shafts of2 individuals, and both obtained SAP results. It was found that the results of the Maxquant search engine were slightly less than those of pFind. This result shows that SAPTyper can achieve SAP fingding function. Moreover, the pFind search engine was used to test the proteome data of 3 hair shafts from 1 European person and 1 African person in the literature. Among the sites fully matched by the literature method, sites detected by SAPTyper are also included; for semi-matching sites, that is, nsSNPs are heterozygous, both literature method and SAPTyper method had the risk of missing detection for one type of the allele. Comparing the analysis results of SAPTyper with the SAP test results reported in the literature, it was found that some imputed nsSNP sites identified by the literature method but not detected by SAPTyper had a MAF of less than 0.1% in East Asian populations, and therefore they were not included in the common nsSNP database of East Asian populations constructed by this software. Since the database construction of this software is based on the genetic variation information of East Asian populations, it is currently unable to effectively identify representative unique common variation sites in European or African populations, but it can still identify SAP sites shared by these populations and East Asian populations. ConclusionAn automated SAP analysis algorithm was developed for East Asian populations, and the software named SAPTyper was developed. This software provides a convenient and efficient analysis tool for the research and application of forensic proteomic SAP and has important application prospects in individual identification and phenotypic inference based on SAP.

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*

Objective:To investigate the clinical diagnosis and treatment of IgG4-related disease（IgG4-RD） primarily involving the nasal cavity and skull base. Methods:A retrospective analysis was conducted on the clinical data of 8 patients with IgG4-RD primarily involving the nasal cavity and skull base who visited the Nasal and Skull Base Surgery Department at Xiangya Hospital from October 2017 to January 2024. The cohort comprised 4 males and 4 females, aged 8 to 69 years. Clinical data, laboratory examination results, imaging findings, histopathological results, and treatment plans were collected. The clinical manifestations, diagnosis, treatment and follow-up results of IgG4-RD primarily involving nasal cavity and skull base were summarized and previous literature were also reviewed. Results:The initial symptoms in the 8 patients included nasal congestion, headache, sensory function decline, and facial deformities. Three patients also had parotid and pulmonary involvement. Among the 8 patients, 4 underwent partial surgical resection combined with glucocorticoid therapy; 1 underwent partial surgical resection combined with glucocorticoid and immunosuppressant therapy; 1 received glucocorticoid therapy alone; and 2 received glucocorticoid combined with immunosuppressant therapy. Follow-up was conducted one month after treatment, lasting from 5 to 79 months. During the follow-up period, recurrence was observed in 1 patient treated with glucocorticoid combined with immunosuppressants and in 1 patient treated with glucocorticoid alone, while the other 6 patients achieved significant remission. Conclusion:The diagnosis of nasal cavity and skull base IgG4-RD requires the combination of histopathology, laboratory tests, and imaging results. Treatment primarily includes glucocorticoids or combined immunosuppressants. For patients with significant compression symptoms, sensory function impairment, or facial deformities, surgical resection is an important treatment option. Given the high risk of recurrence, early intervention, active treatment, and long-term follow-up are crucial.
Humans ; Male ; Skull Base/pathology* ; Female ; Middle Aged ; Retrospective Studies ; Aged ; Nasal Cavity/pathology* ; Adult ; Immunoglobulin G4-Related Disease/therapy* ; Immunoglobulin G ; Child ; Young Adult ; Adolescent

Objective To explore the protective effect and related mechanism of Compound Baimai Powder(CBMP,a compound description of Mongolian medicine)on astrocytes after oxygen glu-cose deprivation and reoxygenation(OGD/R)injury.Methods Astrocyte model of OGD/R injury was subjected to simulate in vitro cerebral ischemia/reperfusion injury.Cultured astrocytes were randomly divided into normal group,OGD/R group,OGD/R+nimodipine group(10 μmol/L),OGD/R+low-and high-dose CBMP groups(25,50 μmol/L).Cell viability and apoptosis were de-tected with CCK-8 assay and flow cytometry,respectively.Western blotting was used to measure the expression levels of the proteins related to the nuclear factor erythroid-2-related factor-2(NRF2)/antioxidant response element and Janus kinase(J AK)/signal transducer and activator of transcription(STAT)signaling pathways.ELISA was employed to examine the levels of inflam-matory factors IL-1β,IL-6,and TNF-α,as well as oxidative stress molecules ROS,GSH,MDA and SOD.Results Compared to the normal group,the OGD/R group showed significant decreases in cell viability,NRF2 protein level,and SOD and GSH activities(P＜0.05,P＜0.01),and obvious increases in p-JAK and p-STAT proteins levels,contents of IL-1β,IL-6 and TNF-α,and ROS and MDA levels(P＜0.05,P＜0.01).High-dose CBMP treatment resulted in notably elevated cell via-bility and NRF2 protein level,while reduced levels of p-JAK[(1.20±0.20)vs(2.50±0.26)]and p-STAT[(1.15±0.25)vs(2.10±0.21)]proteins,IL-6[(30.33±5.20)vs(180.35±18.50)]and TNF-α[(50.12±8.24)vs(160.45±15.20)]when compared to the OGD/R group(P＜0.05,P＜0.01).Conclusion CBMP exerts protective effect on astrocytes against OGD/R injury.

Objective To propose a dynamic early warning model based on machine learning methods and validate its predi-ctive efficacy so as to achieve precise assessment and early warning of mortality risk in patients with traumatic hypothermia.Methods Firstly,a total of 480 patients who met inclusion criteria were retrospectively selected from the eICU database and randomly divided into training and test sets at an 8∶2 ratio.Secondly,physiological parameters were extracted from these patients,and five machine learning algorithms including XGBoost,AdaBoost,LightGBM,logistic regression(LR)and random forest(RF)were employed respectively to develop dynamic mortality risk warning models for traumatic hypothermia patients,utilizing a 1-hour observation window.Thirdly,receiver operating characteristic curves(ROC)were plotted using the test set data and the effects of different warning windows on the model performance were analyzed by calculating the AUC.Finally,the interpretability of the models was analyzed using the SHapley Additive exPlanations(SHAP)algorithm to elucidate the contribution of each feature to predictive performance.Results The optimal warning window for the dynamic warning model constructed using the eICU database was 12 hours,and in case of 12-hour warning window the logistic regression model achieved the highest AUC of 0.935 and showed optimal predictive performance.The results of the interpretability analysis by the SHAP algorithm showed that body temperature was the feature that had the greatest impact on the model results,and its reduction was positively correlated with the increased risk of death.Conclusion The machine learning-based dynamic warning model for mortality risk in traumatic hypothermia patients enables real-time dynamic risk assessment,providing robust support for clinicians to identify the patient's condition changes at an early stage and references for the adjustment of clinical treatment programs.[Chinese Medical Equipment Journal,2025,46(3):9-14]

Objective:To evaluate the value of deep-inhaled breath-hold (DIBH)-30s scanning with total-body PET/CT under half-dose injection mode in improving the poor alignment of thoracic and upper abdominal tumors.Methods:Forty-six patients (28 males, 18 females, age (57.3±11.4) years) who underwent half-dose 18F-FDG total-body DIBH-30s PET/CT examination because of suspect or confirmed thoracic and upper abdominal tumors in Sun Yat-Sen University Cancer Center between October 2022 and February 2023 were analyzed retrospectively. SUV, standard deviation (SD) and signal-to-noise ratio (SNR) of the liver and mediastinal blood pool in free breath (FB)-8min, FB-30s and DIBH-30s PET images were measured; SUV of lesions, metabolic tumor volume (MTV) and tumor-to-background ratio (TBR) in DIBH-30s and FB-8min images were also measured; maximum diameter of contraposition offset and offset rate in coronal, transverse and sagittal directions of lesions in DIBH-30s and FB-8min images were calculated. Five-point Likert scale was used to score the overall image quality, image noise level and diagnostic confidence of fused images. Kruskal-Wallis rank sum test, Nemenyi test or Mann-Whitney U test was used to compare the parameters of different groups. Results:Among the 46 patients, 38 successfully completed breath-holding collection, and 80 lesions were detected, including 37 in the lungs and 43 in the livers. The liver SUV max (3.40(3.15, 3.63), 3.44(3.06, 3.70)) and SD (0.36(0.32, 0.41), 0.35(0.30, 0.40)) in DIBH-30s group and FB-30s group were higher than those (SUV max: 2.73(2.45, 2.92), SD: 0.15(0.13, 0.17)) in FB-8min group ( H values: 49.79, 85.27, χ2 values: 3.26-3.65, all P<0.001). The SUV max and the SD of mediastinal blood pool in DIBH-30s group and FB-30s group were also higher ( H values: 9.31, 59.73, χ2 values: 2.13-2.75, all P<0.01), while SNR liver and SNR med in those 2 groups were lower ( H values: 87.90, 54.11, χ2 values: 3.36-5.47, all P<0.001). The image noise scores of DIBH-30s group and FB-30s group were lower than the score of FB-8min group (3(3, 3) vs 3(3, 4) vs 5(5, 5); H=93.02, χ2 values: 2.13, 2.23, all P<0.001). The overall image quality score and diagnostic confidence score of DIBH-30s group were higher than those of FB-30s group and FB-8min group ( H values: 70.13, 24.22, χ2 values: 2.11-2.48, all P<0.001). The SUV and TBR of lesions in DIBH-30s group were higher than those of FB-8min group ( Z values: from -3.82 to -2.44, all P<0.05), while the MTV, contraposition offset and offset rate were lower than those of FB-8min group ( Z values: from -6.20 to -3.18, all P<0.001). Conclusions:DIBH-30s scanning with total-body PET/CT can make the focus alignment more accurate, which is suitable for short-time collection or low drug administration activity. It has a unique value in improving the poor focus alignment of chest and upper abdomen tumors.

OBJECTIVE: The study aim was to investigate the effects of exposure to multiple environmental organic pollutants on cardiopulmonary health with a focus on the potential mediating role of oxidative stress. METHODS: A repeated-measures randomized crossover study involving healthy college students in Beijing was conducted. Biological samples, including morning urine and venous blood, were collected to measure concentrations of 29 typical organic pollutants, including hydroxy polycyclic aromatic hydrocarbons (OH-PAHs), bisphenol A and its substitutes, phthalates and their metabolites, parabens, and five biomarkers of oxidative stress. Health assessments included blood pressure measurements and lung function indicators. RESULTS: Urinary concentrations of 2-hydroxyphenanthrene (2-OH-PHE) ( β = 4.35% [95% confidence interval ( CI): 0.85%, 7.97%]), 3-hydroxyphenanthrene ( β = 3.44% [95% CI: 0.19%, 6.79%]), and 4-hydroxyphenanthrene (4-OH-PHE) ( β = 5.78% [95% CI: 1.27%, 10.5%]) were significantly and positively associated with systolic blood pressure. Exposures to 1-hydroxypyrene (1-OH-PYR) ( β = 3.05% [95% CI: -4.66%, -1.41%]), 2-OH-PHE ( β = 2.68% [95% CI: -4%, -1.34%]), and 4-OH-PHE ( β = 3% [95% CI: -4.68%, -1.29%]) were negatively associated with the ratio of forced expiratory volume in the first second to forced vital capacity. These findings highlight the adverse effects of exposure to multiple pollutants on cardiopulmonary health. Biomarkers of oxidative stress, including 8-hydroxy-2'-deoxyguanosine and extracellular superoxide dismutase, mediated the effects of multiple OH-PAHs on blood pressure and lung function. CONCLUSION Exposure to multiple organic pollutants can adversely affect cardiopulmonary health. Oxidative stress is a key mediator of the effects of OH-PAHs on blood pressure and lung function.
Humans ; Oxidative Stress/drug effects* ; Male ; Cross-Over Studies ; Female ; Young Adult ; Environmental Pollutants/toxicity* ; Environmental Exposure/adverse effects* ; Biomarkers/blood* ; Adult ; Blood Pressure/drug effects* ; Polycyclic Aromatic Hydrocarbons/urine* ; Beijing

Objective:To retrospectively analyze the cases of inflammatory myofibroblastic tumor (IMT) involving the sinonasal skull base, and to investigate their clinical characteristics, diagnostic approaches, and treatment outcomes, in order to improve understanding of this rare entity.Methods:Clinical data from five patients with pathologically confirmed sinonasal skull base IMT who underwent surgical treatment at Xiangya Hospital of Central South University between April 2010 and June 2023 were reviewed. Information on clinical presentation, laboratory findings, imaging features, histopathological and immunohistochemical results, treatment strategies, and follow-up outcomes was collected. A comprehensive analysis was performed in combination with a literature review to summarize the clinical features, diagnostic methods, and therapeutic approaches for sinonasal skull base IMT.Results:The five patients (aged 18 to 68 years) were all diagnosed based on histopathological and immunohistochemical examinations. The lesions primarily involved the nasopharynx, clivus, sphenoid sinus, and maxillary sinus. Major clinical symptoms included nasal obstruction, headache, blood-tinged nasal discharge, and facial numbness or pain. All patients underwent surgical resection; two of them also received adjunctive glucocorticoid therapy. During follow-up ranging from 1 to 143 months, two patients experienced tumor recurrence, three patients had no recurrence with significant symptomatic improvement.Conclusions:Histopathology combined with immunohistochemistry is critical for the diagnosis of sinonasal skull base IMT. Complete surgical excision when feasible remains the primary treatment strategy.