Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Animal experimentation constitutes a critical link between basic research and clinical application, making its research quality and translational efficiency paramount. Although considerable progress has been made in standardizing operational procedures and ethical guidelines, the standardization of outcome evaluation systems has significantly lagged, creating a key bottleneck that constrains the quality of biomedical research and evidence synthesis. This deficiency is manifested by pronounced heterogeneity in outcome selection across similar studies, incomplete methodological reporting, and disparate criteria for result interpretation, which severely impairs the comparability of findings and the evidence integration. To cope with this challenge, this paper systematically introduces a mature methodological tool from clinical research–the core outcome set (COS)–and explores its construction strategies and application potential in the field of animal experimentation. Given the extensive diversity of animal experiments, a pragmatic strategy of "focusing on key areas, implementing phased pilots, and promoting gradual expansion" should be adopted. This approach prioritizes the development of domain-specific COS for disease areas characterized by high research volume, urgent translational needs, and well-established animal models. A multi-source integration pathway for COS development is detailed, comprising systematic literature searches, methodological appraisals, and expert consensus, with the feasibility of leveraging artificial intelligence (AI) to enhance efficiency also being examined. The development and promotion of such COS are not intended to restrict scientific exploration; rather, they aim to establish a new, tiered evaluation paradigm consisting of "core outcomes" (mandatory), "recommended outcomes" (encouraged), and "exploratory outcomes" (optional). This framework is expected not only to enhance research quality through standardization and to adhere to the "3R" principles but also to accelerate the accumulation of high-quality evidence. This, in turn, provides a solid foundation for higher-level evidence synthesis, ultimately facilitating the effective translation of basic research findings into clinical practice and providing an essential methodological framework for scientific advancement in relevant disciplines.

Objective To investigated how morning meetings are conducted in radiology departments across different levels of hospitals in Shandong Province. It also explored the role of an intelligent morning meeting platform in supporting digital management of radiology departments. Methods This study was conducted through the Shandong Provincial Regional Medical Center Alliance. A questionnaire survey was administered to 241 hospitals of different grades to assess their morning meeting practices. Based on the findings, an intelligent and process-oriented management model suitable for the regional context was summarized and developed, leading to the construction of an intelligent morning meeting management platform. A comparative analysis was then performed in our hospital's radiology department. Key management indicators were compared before and after using the platform. These indicators included: weekly frequency of morning meetings, number of meeting types, staff attendance rate, rate of electronic management of meeting materials, proportion of case discussions that met teaching requirements, and staff satisfaction. Results The intelligent morning meeting management platform integrates multiple functions. These functions included morning meeting management, case management, archiving of meeting materials, quality control management, electronic attendance tracking, and online meetings across multiple hospital campuses. After the platform was implemented in the radiology department, all key indicators improved significantly. Specifically, weekly meeting frequency, number of meeting types, attendance rate, rate of electronic management of meeting materials, proportion of case discussions meeting teaching requirements, and staff satisfaction were all significantly higher than before implementation (all P<0.05). Conclusion The application of the intelligent morning meeting management platform can digitize, standardize, and make traceable the morning meetings in radiology departments.It significantly improves the efficiency and quality of these meetings. It also effectively enhances the digital management level of radiology departments. This study aimed to investigate the current operation of morning meetings in radiology departments at different levels of hospitals in Shandong Province, and to explore the role of the intelligent morning meeting platform in the digital management of radiology departments.

Objective To explore the impact of suture configuration and fixation type on the biome-chanical strength of rotator cuff repair,using a factorial design study.Methods Sixteen fresh-frozen porcine shoulder samples were randomized into an anchorless double-row suture bridge transosseous su-tures(DS)group,an anchored double-row suture bridge transosseous-equivalent(DE)group,an an-chorless X-BOX construct transosseous sutures(XS)group,and an anchored X-BOX construct transos-seous-equivalent(XE)group,each of four,according to suture configuration(double-row suture bridge,traditional X-BOX construct)and fixation type(suture anchors,transosseous sutures).Then,their fatigue resistance(first-cycle excursion,gap length difference ratio,and the percentage of ex-posed footprints)and the failure strength(the maximum failure load and the re-tear type)were mea-sured using a biomechanical material testing machine.Results Different suture configurations affected failure strength(F=39.559,P<0.001),with the double-row suture bridge groups(693.07±58.35 N,746.76±138.57 N)showing significantly higher failure strength,compared to the traditional X-BOX groups(462.90±18.91 N,421.43±90.76 N).However,the fixation type did not significantly im-pact failure strength(F=1.161,P=0.302).Moreover,the suture configuration influenced the gap differ-ence ratio(F=7.781,P=0.016),but had no significant correlation with other fatigue resistance indica-tors(P>0.05).Meanwhile,failure strength and fatigue resistance were not correlated with fixation type,and the interaction between suture and fixation type(P>0.05).The incidence of failure types for the four suture configurations was as follows:Type I tendon tear:XS>XE>DS=DE;type II tendon tear:DS>XE>XS=DE;fixing material-related failure:DE>DS=XE=XS.Conclusion The failure strength and gap formation ratio in rotator cuff repair under fatigue loading are influenced by suture configuration,whereas no significant association has been observed with respect to fixation method,whether using transosseous sutures or suture anchors.

Objective:To explore the effects of combining APR-246 with irradiation for enhancing anti-tumor immune response against 4T1 breast cancer cells, and to develop multiple tumor treatment strategies.Methods:The control group, APR-246 group, irradiation group and irradiation combined APR-246 group were used both in the cell experiment and tumor-bearing mice experiment. The inhibitory effect of APR-246 on the proliferation of 4T1 cells was assessed by using Cell Counting Kit-8. The effect of APR-246 with irradiation on the survival rate of 4T1 cells using clone formation assay was measured. The levels of reactive oxygen species (ROS) and lipid peroxidation (LPO) in tumor cells using a 2’, 7’-dichlorodihydrofluorescein diacetate (DCFH-DA) fluorescent probe and a lipid peroxidation sensor, the tumor inhibition rates of different groups of tumor bearing mice were compared, and the proportions of CD4+ and CD8+ T cells and the ratio of M1/M2 macrophages were determined in the tumor microenvironment by flow cytometry.Results:Compared with irradiation group, 2, 4, 6 Gy irradiation combined APR-246 group significantly reduced the survival rates of 4T1 cells ( t = 2.89, 4.15, 2.62, P < 0.05), the 6 Gy irradiation combined APR-246 group significantly increased the levels of ROS ( t = 16.95, P < 0.05) and LPO ( t = 6.09, P < 0.05) in 4T1 cells, and significantly increased the apoptosis rate of 4T1 cells ( t = 10.99, P < 0.05). Meanwhile, from the 16 th day of tumor inoculation, the 10 Gy irradiation combined APR-246 group showed significantly inhibited tumor growth ( t = 2.38-2.91, P < 0.05) and significantly increased proportions of CD4+ and CD8+ T cells ( t = 9.96, 6.28, P < 0.05) and M1/M2 ratio ( t = 15.30, P < 0.05) in tumor tissues. Conclusions:APR-246 combined with irradiation can effectively increase ROS and LPO levels in 4T1 cells, promote tumor cell apoptosis, and induce anti-tumor immune response, thus potentially inhibiting the growth of 4T1 cells.

Objective:To explore the protective effects and mechanisms of an indole-3-acetaldehyde (I3A)-loaded inulin-based hydrogel against radiation-induced intestinal injury.Methods:The gelation properties and injectability of the I3A-loaded inulin-based hydrogel were detected using a rheometer, and its biocompatibility was assessed via a CCK-8 assay. Eighteen C57BL/6 mice (aged: 6-8 weeks) were stratified by body weight and randomly assigned into three groups with 6 mice in each group: blank control, irradiation-only, and irradiation+ hydrogel protection. Abdominal irradiation was administered using 137Cs γ-rays at 17 Gy. The irradiation+ hydrogel protection group received 200 μl/day of I3A-loaded inulin-based hydrogel for two days before and 2-3 days after irradiation. Meanwhile, the irradiation-only group was treated with an equivalent volume of sterile water via gavage. The mice were euthanized four days post-irradiation, and their intestinal tissues were harvested. Hematoxylin-eosin (HE) staining, Ki67 immunohistochemistry, and TUNEL immunofluorescence were performed to assess histopathological damage, epithelial cell proliferation, and apoptosis, respectively. Quantitative real-time PCR (qRT-PCR) was employed to measure mRNA levels of inflammatory and antioxidant factors. Gut microbiota composition was analyzed via 16S rRNA sequencing. Results:The test results of the rheometer confirmed successful hydrogel formation. CCK-8 assays demonstrated excellent biocompatibility. Compared with the irradiation-only group, the irradiation+ hydrogel protection group exhibited preserved intestinal histoarchitecture, a 1.5-fold increase in intestinal cell proliferation ( t = 8.35, P < 0.05), and a 2-fold reduction in radiation-induced apoptosis ( t = 7.94, P < 0.05). Moreover, the hydrogel group showed significantly elevated expression of the anti-inflammatory cytokine IL-10 and antioxidant factors NRF-2 and HO-1 ( t = 3.16, 24.83, 5.92, P < 0.05), alongside reduced levels of pro-inflammatory cytokines IL-1β, IL-6, and TNF-α ( t = 5.15, 3.82, 3.83, P < 0.05). Gut microbiota analysis revealed significant modulation in microbial composition and abundance in the hydrogel group. Conclusions:The I3A-loaded inulin-based hydrogel can significantly promote intestinal cell proliferation, reduce radiation-induced apoptosis, and enhance both anti-inflammatory and antioxidant responses. In addition, it regulates gut microbiota composition and abundance, protecting against radiation-induced intestinal injury.

Intestinal radiosensitivity makes radiation-induced intestinal injury (RIII) as a common complication among individuals exposed to accidental radiation and patients with abdominal or pelvic malignancies receiving radiotherapy. At present, there are no effective measures for the prevention and treatment of RIII. Developing novel prevention and treatment strategies is of great significance for improving the prognosis and quality of life for both individuals exposed to accidental radiation and cancer patients. Lactobacillus, a Gram-positive bacterium, is widely observed in humans and animals. It exhibits notable probiotic functions, including maintaining gut microbiota homeostasis, preserving intestinal barrier, and modulating immune responses. Substantial studies have demonstrated that Lactobacillus has remarkable protective and therapeutic effects against radiation-induced injury, specifically significantly alleviating RIII. These probiotic functions of Lactobacillus make it have high priority to become the chassis of genetically engineered strains. However, multiple factors influence the construction of a genetically engineered strain, limiting the application of Lactobacillus as a chassis. This review focuses on the probiotic functions of Lactobacillus, highlighting advances in research on Lactobacillus and its engineered probiotics in radiation protection and treatment. Furthermore, it summarizes key factors influencing the construction of genetically engineered strains based on the Lactobacillus chassis. It aims to provide insights for developing genetically engineered strains with radioprotective and therapeutic effects using Lactobacillus as the chassis.

Objective To investigate the governance requirements for real world data(RWD)in China's medical standards and specifications,summarize key technical aspects of data governance,and provide refer-ences for RWD governance-related research.Methods Computerized searches were conducted in CNKI,Wan-fang Data,VIP,and SinoMed,as well as the official websites of 29 national medical societies and the National Standard Information Public Service Platform,covering all records from inception to December 12,2023.A data extraction form was developed,and the included standards and specifications were categorized according to the first six RWD governance processes outlined in the Guidelines for Real World Data Used to Generate Real-World Evidence(Trial)issued by the National Medical Products Administration:data security,data extraction,data cleaning,data transformation,data transmission and storage,and quality control.Relevant content on data governance was systematically summarized and comparatively analyzed.Results A total of 32 standards and specifications were included,comprising 15 foundational medical data standards and 17 data gov-ernance technical specifications.Among these,6 addressed data security,6 covered data extraction,5 focused on data cleaning,5 involved data transformation,6 pertained to data transmission and storage,and 4 discussed quality control.Foundational medical data standards included data description elements,terminology,and format standards,broadly covering essential data elements and meeting basic standardization needs.Data gov-ernance technical specifications primarily provided general guidelines for medical data governance,emphasizing requirements and recommendations.While requirements for data security and extraction were relatively well-de-fined,technical guidance on data transformation and quality control remained limited,and implementation pathways for data cleaning,transmission,and storage were insufficiently detailed.Conclusions As real-world evidence plays an increasingly critical role in healthcare decision-making,China's medical standards and speci-fications have established a preliminary governance framework for RWD.However,technical details and practi-cal implementation of RWD governance still require further refinement.

Objective Under the operation background of Diagnosis-Intervention Packet(DIP),whether there is interaction between reducing medical cost and average length of stay combined with pre-hospitalization mode,and whether there is difference between different departments and diseases in interaction.Methods Based on real-world data from 71 453 patients admitted to Guizhou Provincial People's Hospital from July to December 2021,a two-way analysis of variance was employed.When the interaction effect was statistically significant,parameter estimation was used to determine the magnitude and direction of the interaction effect,followed by subgroup analyses by department and disease.Results Without adjustment,both total medical costs and average length of stay exhibited a negative interaction effect(P＜0.05).Subgroup analyses revealed that in terms of total medical costs,the effect size for the surgical system was 0.18％,lower than that for the internal medicine system(0.70％);for core diseases,it was 6.62％,lower than that for comprehensive diseases(7.71％).Regarding average length of stay,the effect size for the surgical system was 0.55％,better than that for the internal medicine system(0.22％);for core diseases,it was 8.70％,higher than that for comprehensive diseases(2.90％).Conclusion The combination of DIP payment reform and pre-admission management model demonstrates a synergistic effect,effectively reducing patients' medical costs and length of stay.This effect is influenced by disease complexity and the standardization of diagnostic and treatment processes.

Deep brain stimulation(DBS)has witnessed rapid advancement as a neurosurgical intervention over the past four decades,addressing movement disorders and a spectrum of neuropsychiatric conditions.Notably,subthalamic nucleus deep brain stimulation(STN-DBS)is widely implemented in the management of Parkinson's disease(PD)patients experiencing refractory motor fluctuations and complications,and has shown promise in ameliorating non-motor symptoms(NMS).However,the long-term efficacy of STN-DBS on NMS remains a subject of scholarly discourse.This review endeavors to synthesize current knowledge regarding the long-term impacts,underlying mechanisms,and future research directions of STN-DBS in the context of NMS in Parkinson's disease.