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.

Objective: To understand the current status and related factors of oral health behavior in preschool children, so as to provide scientific basis for improving parents oral health care abilities. Methods: From March 5 to 12, 2024, using a stratified cluster sampling method, an online questionnaire survey was conducted among parents of 1 381 preschool children aged 3-6 from 6 selected kindergartens of a district in Beijing. A structural equation model (SEM) was constructed based on the Theory of Planned Behavior framework to analyze the factors associated with preschool children s oral health behaviors. Results: The rates of parental assistance in brushing teeth, regular oral examination, and postprandial rinsing were 44.4%, 18.6% and 23.6%, respectively. Attitude, subjective norms were positively correlated with oral health behavior intention ( r =0.61, 0.55); attitude, perceived behavioral control, and behavioral intention were positively correlated with oral health behavior ( r =0.14, 0.13, 0.16) (all P < 0.01 ). The results of the SEM showed that attitude and subjective norms had a significant direct effect on oral health behavior intention ( β = 0.42 , 0.40), and the direct effect of perceived behavioral control on oral health behavior was statistically significant ( β =0.42) (all P <0.01). Conclusions The overall level of oral health behavior among preschool children needs to be improved. Perceived behavioral control is the most direct positive related factor of oral health behavior. In the future, intervention measures should focus on perceived behavioral control as the entry point and provide systematic intervention guidance in combination with planned behavior theory.

ObjectiveTo investigate the mutation status of the MET gene in tumor patients， with a focus on its expression in lung cancer tissues and its impact on patient prognosis， providing theoretical basis and potential targets for precise diagnosis and treatment of the tumors. MethodsA total of 1，627 tumor patient samples were collected from January 2021 to September 2025. High-throughput sequencing technology was used to conduct DNA-level gene detection on 137 tumor patients with MET mutations. The distribution of mutation sites in exons and introns， as well as the occurrence frequencies of MET gene amplification and gene fusion were analyzed， with particular attention paid to the mutation frequencies of each exon and the high-frequency variant types. Immunohistochemical staining was performed to analyze the expression levels of c-MET protein in tumor tissues of the 137 patients. Immunohistochemical analysis was conducted on tumor tissues of 9 patients with MET gene exon 14 skipping mutations to study the association between c-MET protein expression and this specific mutation type. RNA sequencing results， immunohistochemical staining data， and follow-up prognosis of lung cancer from the GEPIA2 database and TCGA database were comprehensively analyzed to explore the potential relationship between MET gene expression in tumor tissues and patient prognosis. ResultsAmong 1，627 tumor patients， 137 MET mutation patients were detected， including 93 males with an average age of （66.85±9.61） years and 44 females with an average age of （59.43±11.08） years. Lung cancer was the most common tumor type （117 cases）. MET gene expression was lower in breast cancer and glioblastoma multiforme， but higher in lung cancer and colorectal cancer as compared with the expression in normal tissues. Survival analysis showed that patients with high MET gene expression in lung adenocarcinoma had a shorter overall survival time than those with low expression. A total of 961 mutations were detected by next-generation sequencing， including 547 exon mutations and 374 intron mutations. MET gene amplification was found in 13 cases and gene fusion in 27 cases. The highest mutation frequency was in exon 2， followed by exon 5， exon 4， and exon 19. High-frequency variant types included c.2890C>A （p.L964M） on exon 4 and c.3028G>T （p.D1010Y） on exon 5. The c-MET protein expression was closely related to the type of gene mutation. Missense mutations often led to positive or strongly positive c-MET protein expression， while nonsense mutations often resulted in weak or absent c-MET protein expression. Among the 9 patients with MET gene exon 14 skipping mutations， the c-MET protein expression score was mostly 0 - 1， with only 1 case scoring 2. Among the 117 lung cancer patients， the incidence rate was higher in males than in females， and more common among stage Ⅲ-Ⅳ patients than among stage I-Ⅱ patients. Out of the 41 patients treated with surgery + targeted drugs （gutemitinib， savolitinib）， 8 cases of recurrence or metastasis were found during follow-up. ConclusionMET gene mutations exhibit specific mutation characteristics in different tumor types， and its expression levels show significant differences between various tumor tissues and normal tissues. It is closely related to the poor prognosis of lung adenocarcinoma patients. We found that c-MET protein expression is closely related to the type of MET gene mutation， especially in patients with MET gene exon 14 skipping mutations， which presents a characteristic expression pattern. This provides an important basis for the preliminary screening using immunohistochemistry in clinical practice.

[Objective] To evaluate the efficacy and safety of sacral neuromodulation (SNM) in the treatment of patients with benign prostatic hyperplasia (BPH) complicated with underactive bladder (UAB) who respond poorly to transurethral resection of the prostate (TURP). [Methods] A retrospective analysis was performed on 10 patients with BPH and UAB treated with TURP by the same surgeon in Zhongda Hospital Southeast University during Jan.2018 and Jan.2023.The residual urine volume was not significantly relieved after operation, and the maximum urine flow rate and urine volume per discharge were not significantly improved.All patients underwent phase I SNM, and urinary diaries were recorded before and after surgery to observe the average daily frequency of urination, volume per urination, maximum urine flow rate, and residual urine volume. [Results] The operation time was (97.6±11.2) min.During the postoperative test of 2-4 weeks, if the residual urine volume reduction by more than 50% was deemed as effective, SNM was effective in 6 patients (60.0%). Compared with preoperative results, the daily frequency of urination [(20.2±3.8) times vs. (13.2±3.2) times], volume per urination [(119.2±56.7) mL vs. (246.5±59.2) mL], maximum urine flow rate [(8.7±1.5) mL/s vs. (16.5±2.6) mL/s], and residual urine volume [(222.5±55.0) mL vs. (80.8±16.0) mL] were significantly improved, with statistical significance (P<0.05). There were no complications such as bleeding, infection, fever or pain.The 6 patients who had effective outcomes successfully completed phase II surgery, and the fistula was removed.During the follow-up of 1 year, the curative effect was stable, and there were no complications such as electrode displacement, incision infection, or pain in the irritation sites.The residual urine volume of the other 4 unsuccessful patients did not improve significantly, and the electrodes were removed and the vesicostomy tube was retained. [Conclusion] SNM is safe and effective in the treatment of BPH with UAB patients with poor curative effects after TURP.

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Inflammatory bowel disease (IBD) is an autoimmune disorder involving complex immune regulation, where balancing localized and systemic immunosuppression is a key challenge. This study aimed to enhance the therapeutic efficacy by engineering the probiotic Escherichia coli Nissle 1917 (EcN). We removed endogenous plasmids pMUT1 and pMUT2 from wild-type EcN and expressed the mPD-L1 (19‒238 aa)-mFc fusion protein on the bacterial surface using a cytolysin A (ClyA) fragment. This modification stabilized mPD-L1 (19‒238 aa) protein expression and promoted its recruitment to outer membrane vesicles (OMVs). The engineered strain, EcNΔ_pMUT1/2-ClyA-mPD-L1-mFc (EcN-ePD-L1-mFc), features conditional ePD-L1-mFc expression under the araBAD promoter, enhancing gut-targeted release and reducing systemic side effects. This strain improved treatment targeting and efficiency by enabling direct ePD-L1-mFc interaction with immune cells at inflammation sites. OMVs from this strain induced Treg proliferation, inhibited effector T cell proliferation in vitro, and significantly improved intestinal inflammation and colonic epithelial barrier repair in vivo. Additionally, the bacterium restored intestinal microbiota balance, increasing Lactobacillaceae and reducing Bacteroides. This study highlights the engineered bacterium's potential for targeted intestinal immune modulation and offers a novel local IBD treatment approach with promising clinical prospects.

OBJECTIVES: To investigate the clinical application of the digital-assisted reconstruction of the mandible and tumors with free fibula transplantation and immediate implantation via the intraoral approach. METHODS: Twelve patients with benign mandibular tumors were collected. Three-dimensional mandibular reconstruction was performed digitally before surgery to simulate mandibular tumor resection, fibula resection and reconstruction, and implant implantation. The intraoperative resection of the mandibular tumor was conducted through the intraoral approach under the guidance of a guide plate, and fibula resection, molding, reconstruction, and oral fixation were immediately performed. Implant implantation was performed during the second phase of implant surgery and denture restoration was performed 1-2 months after surgery. RESULTS: The types of mandibular defects were BrownⅠ (one case), Ⅰc (four cases), Ⅱ (one case), Ⅱc(three cases), and Ⅲ (three cases). The length of the fibular bone was 12-22 cm. The number of fibular molding amputations was as follows: two cases in two segments, six cases in three segments, three cases in four segments, and one case in five segments. All of these cases underwent folding fibular reconstruction of mandibular and alveolar bone defects. A total of 44 implants were implanted, and none failed after operation. CONCLUSIONS The intraoral approach is a reliable method for the resection of mandibular benign tumors, with few postoperative complications and the ability to position and fix accurately the reconstructed folded fibula under digital design. The immediate implantation of the transplanted fibula does not affect the blood supply and has a high success rate. It is an effective and reliable method for the resection and reconstruction of mandibular benign tumors.
Humans ; Fibula/transplantation* ; Mandibular Neoplasms/surgery* ; Mandibular Reconstruction/methods* ; Bone Transplantation/methods* ; Male ; Middle Aged ; Female ; Mandible/surgery* ; Adult ; Free Tissue Flaps ; Surgery, Computer-Assisted

Objective To study the effect of wall thickness on the accuracy(trueness and precision)of 3D printed models.Methods The 3D scanning data of the standard gypsum dental arch model was imported into Exocad software.And four sets of models were de-signed,including horseshoe shaped solid model and horseshoe shaped hollow models with different wall thicknesses(2 mm,3 mm,4 mm).On the first and seventh day after printing,the 3D scanning data of resin models were imported into Geomagic software.Deviation analysis were performed on 3D printed models for the root mean square(root mean square,RMS).Results The trueness range of the four groups of printed models on the first day was(34.63±4.17)μm to(45.26±6.50)μm,there was no statistical difference.The pre-cision range was(30.25±10.18)μm to(47.65±14.77)μm,and the precision of the solid group was lower than the other three groups(P＜0.05).The trueness range of the four groups of printing models on the 7th day was(49.00±9.11)μm to(69.25±9.70)μm.The trueness of the 2 mm wall thickness group was lower than that of the solid group and the 4 mum wall thickness group(P＜0.05).Con-clusion The accuracy of printing models with different wall thicknesses was within the clinical acceptance range.There was no statisti-cally significant difference in the trueness values of the four groups of printing models on the first day.The precision value of the solid group was the lowest.On the 7th day,the trueness of the wall thickness of 2 mm group was lower than that of the solid group and the 4 mum wall thickness group.

OBJECTIVE To explore the application of digital twin technology in modeling and simulating the hospi-tal-associated transmission pathways of multidrug-resistant organisms(MDROs)and propose MDRO transmis-sion prevention and control strategies based on digital twins.METHODS Real-time hospital data and person-nel mobility information from Jun.2023 to Jun.2024 were collected and analyzed.A dynamic model of the hospi-tal's internal environment and MDROs transmission was established by digital modeling and 3D simulation tech-nology of the hospital environment.A simulation platform was utilized to analyze the impact of different preven-tion and control measures on MDROs transmission risks.Digital twin technology was employed for predicting and real-time monitoring of organism transmission pathways.RESULTS Simulation data showed that under initial pre-vention and control conditions,Ward A had 8 infected individuals and a transmission duration of 12 days.Af-ter implementing comprehensive measures of"increased cleaning frequency+enhanced personnel protection",the number of infected individuals reduced to 4,the transmission duration shortened to 6 days and the transmis-sion risk reduction rate reached 45.00％.The digital twin model can effectively reflect the transmission patterns of MDROs within the hospital and provide quantitative risk assessments under different prevention and control strat-egies.CONCLUSIONS Digital twin technology can predict and simulate organism transmission pathways in real-time,providing scientific decision-making support for hospitals.It has the potential to become a new paradigm for MDROs prevention and control.

Objective:To investigate the risk factors for kidney injury during anti-retroviral therapy (ART) with zidovudine (AZT) or tenofovir disoproxil fumarate (TDF) in human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) patients, and to construct and validate a prediction model for the risk of kidney injury in HIV/AIDS patients based on a nomogram.Methods:A total of 923 HIV/AIDS patients admitted to Liuzhou People′s Hospital between January 1st, 2004 and December 31st, 2020 were included in this study. The modeling set (647 cases) and the validation set (276 cases) were divided in a 7∶3 ratio. Risk factors were screened using the least absolute shrinkage and selection operator (LASSO) regression analysis, and a nomogram prediction model for renal impairment risk in HIV/AIDS patients was constructed based on the selected variables. The model′s predictive performance was assessed by calculating the area under the curve (AUC) using the receiver operating characteristics curve (ROC curve). The performance of this model was evaluated using calibration curves. The clinical utility of the model was assessed using decision curve analysis (DCA).Results:Among 923 HIV/AIDS patients, there were 91 cases with kidney injury, including 67 in the modeling set and 24 in the validation set. AZT was used in 29 cases, and TDF was used in 62 cases. LASSO regression analysis was employed to screen seven non-zero variables, including age, ART regimen, baseline estimated glomerular filtration rate (eGFR), baseline CD4 + T lymphocyte count, baseline human immunodeficiency virus (HIV) RNA, baseline hemoglobin, and baseline aspartate aminotransferase (AST), their LASSO regression coefficient were 1.296, 0.250, 1.443, 0.240, 0.120, 0.395, and 0.002, respectively. Based on these variables, a visual nomogram model was constructed and subsequently validated. Through ROC curve analysis, the AUC for the modeling set was 0.826 (95% confidence interval ( CI) 0.767 to 0.884), with a sensitivity of 0.731 and a specificity of 0.809. For the validation set, the AUC was 0.872 (95% CI 0.807 to 0.956), with a sensitivity of 0.875 and a specificity of 0.778. The calibration curve results for the modeling set showed a mean absolute error (MAE) of 0.012 and a consistency index of 0.826, while the validation set had an MAE of 0.021 and a consistency index of 0.872. These results indicated that the model had a high goodness-of-fit, excellent calibration performance, and was reliable and stable. When the risk threshold for the modeling set ranged from 2% to 73%, the model demonstrated favorable net benefits, indicating its excellent clinical utility. Conclusion:The nomogram-based risk prediction model for kidney injury in HIV/AIDS patients is constructed using seven variables including age, ART regimen, baseline eGFR, baseline CD4 + T lymphocyte count, baseline HIV RNA, baseline hemoglobin, and baseline AST, which provides a valuable tool for early identification of individuals at risk of kidney injury and supports timely clinical interventions.