Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality, characterized by poor prognosis due to its high proliferative and invasive potential. Tumor metabolic reprogramming, particularly involving glucose metabolism, is essential for tumor survival. This study investigates the role of the Hippo pathway effector transcriptional co-activator with PDZ-binding motif (TAZ) in regulating gluconeogenesis and promoting tumorigenesis in HCC. Methods: TAZ expression in HCC was analyzed using The Cancer Genome Atlas data and validated in clinical samples and cell lines. TAZ was overexpressed or silenced in HCC cell lines to evaluate its effects on cell proliferation, apoptosis, migration, and invasion. The expression and prognostic relevance of the gluconeogenesis-related genes phosphoenolpyruvate carboxykinase 1 (PCK1) and glucose-6-phosphatase (G6PC) were examined, along with their correlation with TAZ expression. Tumor growth was assessed in nude mice. Interactions between TAZ and the glucocorticoid receptor (GR) were investigated using co-immunoprecipitation, immunofluorescence, and chromatin immunoprecipitation assays. Results: TAZ was significantly upregulated in HCC tissues and cell lines. TAZ overexpression enhanced proliferation, reduced apoptosis, and promoted migration and invasion. In contrast, PCK1 and G6PC were downregulated in HCC and showed a negative correlation with TAZ expression. Conclusion TAZ modulates gluconeogenesis and accelerates tumor growth, whereas its knockdown attenuates tumor progression. TAZ interacts with GR, suppressing its transcriptional activity on gluconeogenic gene promoters.

On June 27， 2026， the Asian Pacific Association for the Study of the Liver （APASL） released updated management guidelines for chronic HBV infection， which systematically elaborates on screening， vaccination， antiviral treatment， and hepatocellular carcinoma surveillance and other aspects in 13 key areas， and provides comprehensive recommendations. This article summarizes and makes an excerpt of the key recommendations from the updated guidelines.

Objective To evaluate the clinical efficacy and safety of Jiangzhi Hugan Soft Extract(composed of stir-fried Dioscoreae Rhizoma,Poria,Ginseng Radix et Rhizoma,Bupleuri Radix,Citri Sarcodactylis Fructus,Persicae Semen,Polygoni Cuspidati Rhizoma,etc.)in treating non-alcoholic fatty liver disease(NAFLD)with internal dampness-turbidity accumulation syndrome.Methods Sixty patients with NAFLD of dampness-turbidity accumulation syndrome treated at the Gastroenterology Department of Maoming Hospital of Guangzhou University of Chinese Medicine(Maoming Hospital of Traditional Chinese Medicine)from November 2023 to December 2024 were enrolled.The patients were divided into trial group and control group using stratified randomization,with 30 patients in each group.Both groups received lifestyle interventions(diet control and exercise),with the trial group additionally receiving Jiangzhi Hugan Soft Extract for 4 weeks.Outcomes included body mass index(BMI),liver function indicators[alanine aminotransferase(ALT),aspartate aminotransferase(AST),gamma-glutamyl transferase(GGT)],lipid profiles[total cholesterol(TC),triglycerides(TG)],traditional Chinese medicine(TCM)syndrome scores,efficacy evaluation,and safety assessment.Results(1)After 4 weeks of treatment,the overall response rate in the trial group was 93.33％(28/30),while that in the control group was 60.00％(18/30).The intergroup comparison(by rank sum test)showed that the efficacy of TCM syndrome in the trial group was significantly superior to that in the control group,with a statistically significant difference(P＜0.01).(2)After treatment,the BMI of patients in both groups was improved significantly compared to before treatment(P＜0.01).The improvement in BMI was significantly greater in the trial group than in the control group.The difference in the change of BMI between the two groups was statistically significant before and after treatment(P＜0.05).(3)After treatment,the levels of ALT,AST,and GGT in both groups decreased compared to before treatment(P＜0.01).The trial group showed a significantly greater reduction in ALT,AST,and GGT levels than the control group.The difference between the two groups was statistically significant before and after treatment(P＜0.05).(4)After treatment,both groups showed a significant decrease in TC and TG levels compared to pre-treatment levels(P＜0.05).The trial group demonstrated a more pronounced reduction in TC levels than the control group.The difference between the two groups was statistically significant before and after treatment(P＜0.05).(5)There were no significant adverse reactions occurring in either group during treatment,indicating a high level of safety.Conclusion Jiangzhi Hugan Soft Extract effectively improves BMI,liver function,and lipid profile in NAFLD patients with dampness-turbidity accumulation syndrome,demonstrating good clinical efficacy and high safety,warranting further clinical application.

Objective:To analyze the expression of tumor-associated transmembrane protein 61 (TMEM61) in cholangiocarcinoma tissues and its influence on prognosis and immune infiltration, as well as the effect on the proliferation of cholangiocarcinoma cells.Methods:In the cholangiocarcinoma gene chip dataset (TCGA-CHOL), differentially expressed genes between cholangiocarcinoma tissues and normal bile duct tissues were screened, and the upregulated TMEM61 gene was selected for further analysis. Based on the TMEM61 expression, cholangiocarcinoma patients higher than the median value were classified as the high-expression group ( n=17), and those lower than the median value were classified as the low-expression group ( n=18). The Kaplan-Meier survival curve was plotted. Functional and pathway enrichment analyses were conducted on differentially expressed genes related to TMEM61, and the correlations between TMEM61 expression and immune cells and immune molecules were respectively analyzed. The expression level of TMEM61 in cholangiocarcinoma tissues was analyzed by immunohistochemistry; The effect of TMEM61 expression on the proliferation of cholangiocarcinoma cells was detected by Western blotting, CCK-8, clone formation assay, etc. Results:Compared with normal tissues, the expression of TMEM61 mRNA in cholangiocarcinoma tissues was significantly upregulated ( t=18.31, P<0.001). The overall survival rate of patients in the high-expression group of TMEM61 was significantly lower than that in the low-expression group, and the difference was statistically significant ( χ2=7.23, P=0.007). The differentially expressed genes related to TMEM61 were involved in cell proliferation, cell cycle and DNA replication, etc. Compared with normal tissues, regulatory T cells ( t=10.21, P<0.001) and M0-type macrophages ( t=5.89, P=0.008) were significantly increased in cholangiocarcinoma tissues. Plasma cells ( t=7.34, P=0.002), γδT cells ( t=9.87, P<0.001), and M2-type macrophages ( t=11.53, P<0.001) were significantly decreased in cholangiocarcinoma tissues. The expression of TMEM61 was correlated with neurociliary protein 1, tumor necrosis factor ligand superfamily member 15 and B7 homologous protein 3 (all P<0.05). The proportion of positive staining area of TMEM61 protein in normal tissues was (10.15±2.27) %, and that in cholangiocarcinoma tissues was (69.43±11.66) %. The difference was statistically significant ( t=14.97, P<0.001). Inhibition of TMEM61 expression led to a decrease in the number of cholangiocarcinoma cell clones and proliferation activity, and the differences were statistically significant (both P<0.01). Conclusion:The expression of TMEM61 is elevated in cholangiocarcinoma tissues and is associated with poor prognosis. The abnormally high expression of TMEM61 affects the infiltration of immune cells and promotes the proliferation of cholangiocarcinoma cells. TMEM61 is expected to become a potential biomarker for the prognosis assessment of cholangiocarcinoma.

Objective To investigate the functional changes of dendritic cells(DCs)in patients at different stages of hepatitis B virus(HBV)infection and analyze the mechanisms underlying DC dysfunction.Methods Single-cell RNA sequencing dataset GSE182159 was downloaded from the GEO database and classified into healthy control(HC),immune active(IA),and immune tolerant(IT)groups based on infection stage.Peripheral blood samples were collected from 7 IA patients,7 IT patients,and 12 healthy controls.Flow cytometry was used to isolate classical dendritic cells(cDC)and plasmacytoid dendritic cells(pDC).The expression levels of transcription factors in cDC and pDC were measured by quantitative real-time PCR(qRT-PCR).Bioinformatics analyses were per-formed using R and Python package.Results The proportions of DCs in IA and IT groups were higher than that in HC group.Func-tional enrichment analysis revealed that the differentially expressed genes(DEGs)of cDCs in the IA group were primarily enriched for the processes,such as inflammatory response,MHC classⅡantigen processing and presentation,cell migration,signal transduction,metabolism,and immune response.In contrast the IT group exhibited lower enrichment intensity and a significant reduction in interfer-on responses.The DEGs of pDC in the IA group were enriched in the processes of MHC-Ⅱantigen presentation,Fc receptor signal transduction,and metabolism,whereas those in the IT group were showed enrichment only in Fc receptor signal transduction and me-tabolism with a lower intensity.Both groups exhibited reduced synthesis of typesⅠandⅡinterferons in pDC,with the IT group showing a more pronounced downregulation.Cell-cell communication analysis demonstrated enhanced interactions between myeloid cells(except pDC)and T cells in the IA group,whereas the interactions between cDC/pDC and T cells in the IT group were reduced.Transcription factor analysis revealed that STAT2,STAT3,IRF1,and IRF5 were highly expressed in the IA group but their expression exhibited low-er expression levels in the IT group.In contrast,BHLHE40 was broadly upregulated in both cDC and pDC subsets within the IT group.The qRT-PCR results were consistent with the findings from the single-cell transcription factor analysis.Conclusion The IT phase of hepatitis B infection represents a critical period for cDC dysfunction,characterized by significant suppression of MHCⅡantigen presen-tation,metabolism,and interferon responsiveness.The functional impairment of pDC precedes that of cDC,as evidenced by a marked downregulation of interferon synthesis capacity observed during the IA phase.

Objective To investigate the predictive value of combined radiomic features derived from chest CT scans with clinical characteristics for epidermal growth factor receptor(EGFR)gene mutations in non-small cell lung cancer(NSCLC).Methods A multi-center case-control study was conducted on the clinical data and CT images of 1 070 NSCLC patients from the radiology departments of the 3 medical institutions between January 2013 and October 2023.The 719 NSCLC patients from the First Affiliated Hospital of Army Medical University were randomly divided into a training set and an internal validation set in a ratio of 7∶3;The 173 patients in the Eastern Theatre General Hospital and the 178 patients in Army Medical Centre of PLA were assigned into the external validation set 1 and 2,respectively.Least absolute shrinkage and selection operator(LASSO)regression was employed to identify the optimal radiomic features,which were subsequently used to construct a radiomics model.Univariate and multivariate logistic regression analyses were applied to identify clinical features associated with EGFR mutation,thereby developing a clinical model.The radiomic and clinical features were subsequently combined to develop a comprehensive model.All the 3 classification models were built using random forest(RF)machine learning.The area under curve(AUC),accuracy,sensitivity and specificity were utilized to evaluate the predictive performance of the models.Calibration curve was plotted to assess the goodness of fit of the comprehensive model,while decision curve analysis was performed to assess the clinical utility of the model.Results The AUC value of the radiomics model was 0.762 4(95%CI:0.692 4～0.825 1),0.745 4(95%CI:0.671 1～0.814 3),and 0.724 7(95%CI:0.639 7～0.801 6),respectively,in the internal validation set,external validation set 1,and external validation set 2;The AUC value of the clinical prediction model was 0.691 7(95%CI:0.627 9～0.757 6),0.652 5(95%CI:0.576 7～0.729 1),and 0.779 2(95%CI:0.712 5～0.847 3),respectively in the above sets in turn;The comprehensive model constructed based on clinical features and radiomic features showed the best predictive efficacy,with an AUC value of 0.818 0(95%CI:0.757 7～0.874 3),0.782 4(95%CI:0.703 1～0.848 2),and 0.796 6(95%CI:0.718 1～0.868 6),respectively in the above sets.Calibration curve analysis indicated that the comprehensive model had a good fit,while decision curve analysis revealed that the model provided a favorable net benefit.Conclusion Our comprehensive model constructed based on chest CT radiomic features and clinical characteristics shows superior predictive performance for EGFR gene mutations in NSCLC across multiple center datasets,which may be helpful for clinical decision-making for treatment strategies.

Objective To evaluate the predictive value of deep learning features from chest CT images combined with clinical and radiomics features for epidermal growth factor receptor(EGFR)mutations in non-small cell lung cancer(NSCLC).Methods This case-control study retrospectively analyzed clinical and imaging data of 1 070 NSCLC patients from radiology departments at three hospitals(January 2013 to October 2023).Patients were divided into:a training set(n=502)and internal validation set(n=217)via 7∶3 randomization of 719 cases from the First Affiliated Hospital of Army Medical University;external validation set 1(n=173)from General Hospital of Eastern Theater Command;external validation set 2(n=178)from Daping Hospital of Army Medical University.Deep learning features were extracted using a 2.5D convolutional neural network(CNN)with ResNet101 backbone,radiomics features were derived from CT images,and clinical risk factors were identified to construct models.An integrated model combined deep learning,clinical,and radiomics features.All four models were developed using random forest(RF)classifiers.Calibration curves assessed goodness-of-fit,and decision curve analysis(DCA)evaluated clinical utility.Results The deep learning model achieved AUCs of 0.833 7(95%CI:0.770 6～0.884 7),0.815 1(0.741 6～0.882 8),and 0.810 1(0.745 2～0.873 6)in the internal and two external validation sets,respectively.Clinical models yielded AUCs of 0.731 0(0.660 2～0.802 1),0.746 0(0.666 4～0.824 9),and 0.813 4(0.743 1～0.883 6);radiomics models showed AUCs of 0.762 4(0.692 4～0.825 1),0.745 4(0.671 1～0.814 3),and 0.724 7(0.639 7～0.801 6).The integrated model demonstrated optimal performance with AUCs of 0.905 5(0.857 0～0.945 4),0.832 7(0.763 3～0.896 4),and 0.889 0(0.834 4～0.934 3).DCA indicated significant net benefit for EGFR prediction at threshold probabilities of 0.15～0.85 using the integrated model.Conclusion Deep learning features from CT images effectively predict EGFR mutation status in NSCLC.The integrated model combining deep learning,clinical,and radiomics features further enhances predictive performance.

Alzheimer's disease (AD) is a common neurodegenerative disorder among the elderly, and BuChE has emerged as a potential therapeutic target. In this study, we reported the development of compound 8e, a selective reversible BuChE inhibitor (eqBuChE IC₅₀ = 0.049 μmol/L, huBuChE IC₅₀ = 0.066 μmol/L), identified through extensive virtual screening and lead optimization. Compound 8e demonstrated favorable blood-brain barrier permeability, good drug-likeness property and pronounced neuroprotective efficacy. Additionally, 8e exhibited significant therapeutic effects in zebrafish AD models and scopolamine-induced cognitive impairments in mice. Further, 8e significantly improved cognitive function in APP/PS1 transgenic mice. Proteomics analysis demonstrated that 8e markedly elevated the expression levels of very low-density lipoprotein receptor (VLDLR), offering valuable insights into its potential modulation of the Reelin-mediated signaling pathway. Thus, compound 8e emerges as a novel and potent BuChE inhibitor for the treatment of AD, with significant implications for further exploration into its mechanisms of action and therapeutic applications.

The rapid screening of bioactive constituents within traditional Chinese medicine (TCM) presents a significant challenge to researchers. Prevailing strategies for the screening of active components in TCM often overlook trace components owing to their concealment by more abundant constituents. To address this limitation, a fishing strategy based on offline two-dimensional liquid chromatography (2D-LC) combined with surface plasmon resonance (SPR) was utilized to screen bioactive trace components targeting peroxiredoxin 3 (PRDX3), using Uncaria alkaloids (UAs) as a case study. Initially, an orthogonal preparative offline 2D-LC system combining a positively charged C₁₈ column and a conventional C₁₈ column under disparate mobile phase conditions was constructed. To fully reveal the trace alkaloids, 13 2D fractions of UAs were prepared, and their components were characterized using mass spectrometry (MS). Subsequently, employing PRDX3 as the targeting protein, a SPR-based screening approach was established and rigorously validated with geissoschizine methyl ether (GSM) serving as a positive control for binding. Employing this refined strategy, 29 candidate binding alkaloids were fished from the 13 2D fractions. Notably, combining offline 2D-LC with SPR increased the yield of candidate binding components from 10 to 29 when compared to SPR-based screening alone. Subsequent binding affinity assays confirmed that PRDX3 was a direct binding target for the 12 fished alkaloids, with isovallesiachotamine (IV), corynoxeine N-oxide (CO-N), and cadambine (CAD) demonstrating the highest affinity for PRDX3. Their interactions were further validated through molecular docking analysis. Subsequent intracellular H₂O₂ measurement assays and transfection experiments confirmed that these three trace alkaloids enhanced PRDX3-mediated H₂O₂ clearance. In conclusion, this study introduced an innovative strategy for the identification of active trace components in TCM. This approach holds promise for accelerating research on medicinal components within this field.

Stiff person syndrome (SPS) is a rare neuro-immune disorder characterized by exaggerated startle responses and muscle spasms in response to minor stimuli. SPS is often misdiagnosed as panic disorder or agoraphobia. This paper reported a case of a patient with SPS presenting symptoms similar to panic attack. The patient had been misdiagnosed as dystonia, anxiety disorder and panic attack. The patient was finally correctly diagnosed through multiple disciplinary team discussions. This study integrates a comprehensive understanding of symptomatology and patient-reported experiences with targeted neurological evaluations and supplementary diagnostic tools to improve the accuracy of etiological diagnoses. This study aims to enhance the ability of psychiatrists to recognize somatic diseases presenting with psychiatric symptoms and to improve clinical diagnostic and treatment levels.