Background/Aims: Acetyl coenzyme A (acetyl-CoA) is one of the most essential metabolites in cell metabolism but its function and concentration in hepatocellular carcinoma (HCC) remain elusive and controversial. Methods: A comprehensive analysis of acetyl-CoA levels and acetyl-CoA synthetase 2 (ACSS2) expression across a range of samples, including patient specimens from both hepatitis B virus (HBV) positive and HBV negative HCC individuals, HBV-transgenic mouse HCC models, and multiple cell lines. Furthermore, to evaluate the functional significance of ACSS2 in HBV-related HCC, we implemented both genetic and pharmacological inhibition strategies targeting ACSS2. Molecular mechanism and mitophagy assessment were revealed by cleavage under target and tagmentation sequencing, RNA sequencing, bioinformatic analyses, transmission electron microscopy and JC-1 staining. Results: Our study revealed a distinct metabolic signature of HBV-related HCC, marked by elevated acetyl-CoA, which was driven by ACSS2. ACSS2 was upregulated by the carbohydrate response element-binding protein in HBV-related HCC. Furthermore, ACSS2 improved tumor cell proliferation, an effect that was dependent on its enzymatic activity. Mechanistically, ACSS2-induced acetyl-CoA accumulation activated voltage-dependent anion channels 1 transcription through increased H3K27ac occupancy, which subsequently promoted mitophagy and HBV-related HCC tumorigenesis. Notably, targeting ACSS2 by depletion or inhibition with a catalytic inhibitor significantly suppressed tumor growth. Conclusions These findings not only illustrate the interplay between metabolic reprogramming, epigenetic modification, and tumorigenesis in the context of HBV infection, but also highlight ACSS2 as a novel metabolic vulnerability in HBV-related HCC. Therefore, targeting ACSS2 could be a novel strategy against HBV-related HCC.

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.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

A mounting body of research suggests that circRNAs significantly contribute to the develop-ment of myocardial fibrosis.The microarray results of human circular RNA expression profile indicated that circHERC4_041 expression increased in the myocardium of patients with heart failure,RT-qPCR a-nalysis confirmed that the myocardial expression level of circHERC4_041 in individuals with heart failure were considerably elevated compared to that in healthy organ donors.Fluorescence in situ hybridization(FISH)confirmed that circHERC4_041 was abundant in the cytoplasm of human cardiomyocyte AC16.Overexpression of circHERC4_041 in mouse myocardial fibroblasts(mCFs)mediated by adenovirus in-hibited the expression of fibrosis-related proteins in mCFs.Experiments involving cell proliferation,wound healing,and Transwell assays demonstrated that overexpression of circHERC4_041 suppressed the growth and mobility of mCFs(P＜0.001).Sequence analysis results suggested that circHERC4_041 con-tains potential ribosome entry sequence(IRES)and open reading frame(ORF).Western blot confirmed that circHERC4_041 could translate the 516 amino acid HERC4-516aa protein,which was mainly located in the cytoplasm of the cell.Cell functional experiments confirmed that circHERC4_041 inhibited the fi-brotic phenotype of mCFs by specifically translating HERC4-516aa(P＜0.05).The specific interaction between HERC4-516aa and transglutaminase 2(TGM2)was confirmed by IP-MS screening and Co-IP i-dentification.Further results found that the degradation of TGM2 was promoted through proteasome path-way.The overexpression of TGM2 in mCFs facilitated by adenoviral vectors could counteract the suppres-sive effects of HERC4-516aa on the fibrotic phenotype of mCFs.Therefore,this study confirmed that the HERC4-516aa protein translated by circHERC4_041 can specifically bind to TGM2 to inhibit the fibrotic phenotype of myocardial fibroblasts.

Objective:To explore the value of quantitative parameters of diffusion weighted imaging (DWI) combined with dynamic enhanced magnetic resonance imaging (DCE-MRI) in predicting the efficacy of neoadjuvant chemotherapy for locally advanced breast cancer (LABC) .Methods:A total of 97 patients with LABC admitted to the hospital from Mar. 2020 to Mar. 2023 were studied and received neoadjuvant chemotherapy to evaluate the therapeutic effect, and DWI and DCE-MRI scans were performed before and after treatment. The difference of DWI and DCE-MRI quantitative parameters before treatment in patients with different therapeutic effects was compared, and the correlation between the difference of DWI and DCE-MRI quantitative parameters and therapeutic effect was analyzed. The predictive value of quantitative parameters of DWI and DCE-MRI before treatment was analyzed. The quantitative parameters of DWI and DCE-MRI in patients with different pathological reactions were compared before treatment, and the quantitative parameters of DWI and DCE-MRI were compared before and after treatment.Results:The apparent diffusion coefficient (ADC) of patients with effective chemotherapy before treatment was higher, but transport constant (Ktrans) , extracellular space volume percentage (Ve) and rate constant (Kep) were lower ( t=5.0, 3.27, 3.55, 3.89, P < 0.05) ; Spearman correlation analysis showed that ADC was positively correlated with chemotherapy efficacy before treatment (r=0.66; P < 0.05) , while Kep, Ve, Ktrans were negatively correlated with it (r=-0.58, -0.47, -0.60; P < 0.05) ; ROC curves showed that the area under the curve (AUC) values of ADC, Kep, Ve and Ktrans in predicting chemotherapy efficacy before treatment were 0.771, 0.797, 0.664 and 0.715, respectively, while the combined AUC value of each indicator was 0.832; Compared with patients with non-significant pathological response, ADC before treatment was higher in patients with significant pathological response, Kep, Ve and Ktrans were lower ( t=4.46, 3.32, 3.60, 3.95, P < 0.05) ; Compared with before treatment, ADC value increased after treatment, while Kep, Ve and Ktrans decreased ( t=8.77, 6.22, 9.34, 10.26, P < 0.05) . Conclusion:Quantitative parameters of DWI and DCE-MRI can reflect the changes in the condition of patients with locally advanced neoadjuvant chemotherapy, and the combination of the two can help to improve the predictive value of chemotherapy efficacy in patients.

A mounting body of research suggests that circRNAs significantly contribute to the develop-ment of myocardial fibrosis.The microarray results of human circular RNA expression profile indicated that circHERC4_041 expression increased in the myocardium of patients with heart failure,RT-qPCR a-nalysis confirmed that the myocardial expression level of circHERC4_041 in individuals with heart failure were considerably elevated compared to that in healthy organ donors.Fluorescence in situ hybridization(FISH)confirmed that circHERC4_041 was abundant in the cytoplasm of human cardiomyocyte AC16.Overexpression of circHERC4_041 in mouse myocardial fibroblasts(mCFs)mediated by adenovirus in-hibited the expression of fibrosis-related proteins in mCFs.Experiments involving cell proliferation,wound healing,and Transwell assays demonstrated that overexpression of circHERC4_041 suppressed the growth and mobility of mCFs(P＜0.001).Sequence analysis results suggested that circHERC4_041 con-tains potential ribosome entry sequence(IRES)and open reading frame(ORF).Western blot confirmed that circHERC4_041 could translate the 516 amino acid HERC4-516aa protein,which was mainly located in the cytoplasm of the cell.Cell functional experiments confirmed that circHERC4_041 inhibited the fi-brotic phenotype of mCFs by specifically translating HERC4-516aa(P＜0.05).The specific interaction between HERC4-516aa and transglutaminase 2(TGM2)was confirmed by IP-MS screening and Co-IP i-dentification.Further results found that the degradation of TGM2 was promoted through proteasome path-way.The overexpression of TGM2 in mCFs facilitated by adenoviral vectors could counteract the suppres-sive effects of HERC4-516aa on the fibrotic phenotype of mCFs.Therefore,this study confirmed that the HERC4-516aa protein translated by circHERC4_041 can specifically bind to TGM2 to inhibit the fibrotic phenotype of myocardial fibroblasts.

AIM:To investigate the effects of total flavonoids of Pterocarya hupehensis Skan(PHSTF)on dex-tran sulfate sodium(DSS)-induced ulcerative colitis(UC)mouse model and lipopolysaccharide(LPS)-stimulated RAW264.7 macrophages.METHODS:Thirty-six male C57BL/6J mice(6 to 8 weeks old,SPF grade)were randomly di-vided into 6 groups:negative control(NC)group,3%DSS-induced model group,mesalazine(300 mg·kg-1·d-1)group,and low-dose(62.5 mg·kg-1·d-1),medium-dose(125 mg·kg-1·d-1)and high-dose(250 mg·kg-1·d-1)PHSTF treatment groups,with 6 mice in each group.The mice in NC group received distilled water,while those in other groups were treated with a 3%DSS solution for 7 d to induce the UC model.On the 1st day of DSS administration,the mice in treatment groups received the corresponding agents via oral gavage for 10 d,while those in NC and model groups were gavaged with distilled water.Throughout the study,the effects of PHSTF on body weight,fecal blood,and colon length were measured and recorded daily.Histopathological changes in colon tissues were assessed using hematoxylin-eosin staining.The levels of the pro-inflammatory cytokine interleukin-1β(IL-1β)and the anti-inflammatory cytokine IL-10 in colon tissues were quantified using ELISA.The LPS-induced RAW264.7 macrophage model was employed to evaluate the cellular effects of PHSTF.Cell viability was assessed by CCK-8 assay,and cell morphology was observed under a microscope.The mRNA expression of inflammatory markers[IL-1β,inducible nitric oxide synthase(iNOS),IL-10 and arginase-1(Arg-1)]was measured by RT-qPCR.Western blot and immunofluorescence double labeling were used to detect the protein expression of macrophage polarization markers(iNOS,CD206 and Arg-1).Finally,immunohistochemistry(IHC)was utilized to as-sess protein expression of iNOS in colon tissues.RESULTS:Compared to the DSS-induced UC model group,PHSTF sig-nificantly improved several parameters,including weight loss(P<0.05),rectal bleeding,and colon shortening in DSS-treated mice.PHSTF also reduced histopathological damage and inflammatory cell infiltration in the colon.It decreased IL-1β levels(P<0.05)and increased IL-10 levels(P<0.05)in colon tissues.In LPS-induced RAW264.7 cells,PHSTF reduced the mRNA expression of IL-1β and iNOS(P<0.01),while upregulating the mRNA expression of IL-10 and Arg-1(P<0.01).Additionally,PHSTF decreased iNOS protein expression(P<0.01)and elevated the expression of Arg-1 and CD206 proteins(P<0.01).IHC analysis further confirmed that PHSTF downregulated iNOS protein expression in colon tissues.CONCLUSION:Treatment with PHSTF promotes the polarization of macrophages from the pro-inflammatory M1 phenotype to the anti-inflammatory M2 phenotype,thereby alleviating inflammation in colon tissue and ameliorating ulcer-ative colitis in mice.

Objective To explore the pharmacokinetic(PK)characteristics of desloratadine tablets and reference drugs in healthy subjects,and evaluate their bioequivalence and safety.Methods The random,open,two-period,cross-over pharmacokinetic study method was adopted,each subject received a single oral dose of desloratadine tablets test drug(T)or reference drug(R)for 5 mg.The concentrations of desloratadine and 3-hydroxy desloratadine in plasma were determined by liquid chromatography-tandem mass spectrometry(LC-MS/MS);and the PK parameters were calculated by WinNonlin 8.1 software to evaluate the bioequivalence.Results The main PK parameters of T and R of desloratadine were as follows:the fasting condition Cmax were respectively(3 809.82±1 016.54)and(3 642.36±777.07)pg·mL-1;AUC0-120h were respectively(5.75 ×104±5.03 ×104)and(5.51 × 104±4.00 × 104)pg·h·mL-1;AUC0-∞ were respectively(6.85× 104±1.03× 104)and(6.37 × 104±7.92 × 104)pg·h·mL-1.The fed condition Cmax were respectively(4 398.98±1 191.22)and(4 744.4±1 511.97)pg·mL-1;AUC0-120h were respectively(5.25 × 104±1.82 × 104)and(5.55 × 104±1.98 × 104)pg·h·mL-1;AUC0-∞ were respectively(5.37 × 104±1.86 × 104)and(5.68 × 104±2.04 × 104)pg·h·mL-1.The 90％confidence interval of Cmax,AUC0-t and AUC0-∞ of desloratadine were all within 80.00％～125.00％.Conclusion There was no significant difference in the main PK parameters between T tablets and R under fasting or high-fat postprandial conditions,and desloratadine tablets were bioequivalent,safe and well tolerated.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To explore the short-term clinical effects of deep cervical lymph node-venous anastomosis in the treatment of Alzheimer’s disease (AD).Methods:A prospective exploratory study was conducted on the treatment of AD patients using the cervical deep lymph node-venous anastomosis technique in Scar and Wound Treatment Department, Plastic Surgery Hospital, Chinese Academy of Medical Sciences, from September to October 2024. The patients underwent high-frequency ultrasound to locate deep cervical lymph nodes and the external jugular vein. Under general anesthesia, bilateral deep cervical lymph node-venous anastomoses were performed. Indocyanine green (ICG) lymphography was conducted via subcutaneous injection behind the ear to visualize lymph nodes in levels Ⅱ and Ⅲ. After making a skin incision along the posterior margin of the sternocleidomastoid muscle, the external jugular vein, internal jugular veins, and associated lymph nodes were exposed. Adjacent veins were selected for anastomosis of lymph node. Using microsurgical techniques, end-to-side or end-to-end anastomosis was completed for lymph nodes in levels Ⅱ and Ⅲ. Preoperative assessments included the mini-mental state examination (MMSE, a higher score indicates better cognitive function), Alzheimer’s disease assessment scale-cognitive subscale (ADAS-Cog, a higher score indicates greater impairment of cognitive function), Alzheimer’s disease cooperative study scale for activities of daily living (ADCS-ADL, a higher score indicates better ability to perform daily activity), and neuropsychiatric inventory (NPI, a higher score indicates more severe behavioral and emotional symptom). Postoperative follow-up included the same scales to observe changes in cognitive function, activities of daily living, and emotional communication.Results:Four patients (1 male, 3 females, aged 58-79 years) with AD were included. All were diagnosed based on cerebrospinal fluid biomarkers. All patients successfully underwent bilateral deep cervical lymph node-venous anastomoses. On average, 4.3 (2-7 per person) anastomoses were performed per patient. Surgical procedures lasted an average of 6.5 h (5.5-8.5 h) with minimal blood loss (less than 50 ml). Patients resumed normal activity within 6 hours postoperatively and were discharged after an average of 4.1 d (3.5-5.0 d). Postoperative complications included one case each of aspiration pneumonia, lower limb venous thrombosis, and transient delirium, all of whom resolved without long-term effects. Clinical symptoms, including memory decline, mood swings, and anxiety, showed varying degrees of improvement. Patients reported enhanced quality of life, emotional stability, and social engagement, confirming the procedure’s safety and potential cognitive benefits. At one month postoperatively, the MMSE scores of the four patients increased by an average of 0.8 points compared to preoperative levels. Additionally, the two patients who completed the ADAS-Cog assessments showed a decrease in their scores (reduced by 1.0 points and 11.3 points, respectively, compared to preoperative scores), indicating a certain degree of improvement in cognitive function during this period. The ADCS-ADL and NPI scores of four patients varied significantly, without showing any clear pattern.Conclusion:Lymphovenous anastomosis of the deep cervical lymph node-venous anastomosis may provide a new surgical intervention approach for AD, but further large-scale studies and long-term follow-up are needed to validate its safety and effectiveness.