Traditional Chinese medicine （TCM）， through its multi-target and systematic regulatory effects， has demonstrated unique advantages in the treatment of gastric precancerous lesions （GPL）. At present， TCM theoretical research on GPL is mainly reflected in three aspects， the integration of macroscopic syndrome differentiation， the inflammation-carcinoma transformation mechanism， as well as the systematization and scientization of theoretical inheritance from famous TCM practitioners. High-quality evidence-based research findings serve as the foundation for clinical practice guidelines on GPL， and TCM has gained international academic recognition in the field of GPL prevention and treatment. Research on TCM mechanisms has yielded a series of important outcomes in the aspects of signaling pathways， gene expression regulation， cellular epigenetics， histone modification， and intestinal microecology. It is proposed that future research on GPL should focus on four key directions， establishing multi-omics data， exploring targeted intervention strategies on key regulatory nodes， advancing the standardization process of integrated traditional Chinese and western medicine prevention and treatment technologies， and constructing stratified screening and intervention platforms. The in-depth integration of TCM microcosmic mechanism of action with its macroscopic syndrome differentiation and treatment system， coupled with interdisciplinary research， will provide valuable references for the clinical treatment and scientific research of GPL.

Objective: To revise and validate the reliability and validity of Chinese version of the Benevolent Childhood Experiences (BCEs) Scale among college students, so as to provide a scientific and reliable assessment tool for related research. Methods: From April to June 2025, a stratified cluster random sampling method was used to select 1 677 freshmen from a university in Xuzhou City as participants. The survey was conducted by using the revised Benevolent Childhood Experiences (BCEs) Scale, Childhood Trauma Questionnaire (CTQ) and Brief Suicidal Behavior Scale. Reliability analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), Spearman correlation analysis, and hierarchical linear regression analysis were employed to evaluate the scale s reliability, validity, and relationships among variables. Results: The mean scores of the 10 items on the BCEs Scale ranged from 3.97 to 4.46, with standard deviations ranging from 0.88 to 1.07. The Cronbach α coefficient was 0.96. Exploratory factor analysis extracted a single factor, explaining 71.21% of the total variance. Confirmatory factor analysis indicated good model fit ( χ 2/df =4.81, goodness of fit index=0.99, comparative fit index=0.99, normed fit index=0.99, root mean square error of approximation=0.05, standardized root mean square residual=0.01). BCEs total scores were negatively correlated with CTQ total scores and all its dimensions among college students ( r =-0.53 to -0.13, all P < 0.01). Hierarchical regression analysis showed that BCEs moderated the effect of CTQ on suicidal behavior, with a statistically significant interaction ( β=-0.11, t=-4.01, P <0.01). Conclusion The Chinese revised version of the BCEs Scale demonstrates good reliability and validity, and it is suitable for assessing BCEs among Chinese college students.

ObjectiveTo construct a competency model for "dual-qualified" teachers in vocational undergraduate rehabilitation therapy programs based on the World Health Organization's rehabilitation competency framework (RCF) and relevant domestic and international standards, and explore the training pathways for rehabilitation therapy teachers in China. MethodsLiterature analysis and comparative research methods were employed to systematically review RCF, physiotherapist-education-framework-FINAL, the Minimum-Standards-for-the-Education-of-Occupational-Therapists, and the "dual-qualified" teacher standards in vocational education for China. Focusing on the characteristics of vocational undergraduate talent cultivation, it took the integration of the "educator-clinical rehabilitation therapist" dual roles as its starting point, combining rehabilitation industry competence with educator standards as its basic principle, and using RCF as its foundational dimension. It then integrated advanced competency dimensions required of vocational undergraduate teachers to form a dimensional framework. Following the systematic curriculum development concept of the work process, the core activities of each dimension were designed by combining, improving and expanding the concept integration method, and describing the ability characteristics in a graded and progressive manner, to construct a model. ResultsThis model was guided by the core concepts of three types of values ​​and four types of professional beliefs. Vertically, it encompassed 28 activities across eight competency dimensions, including teaching practice, rehabilitation practice, digital literacy, professionalism, learning and development, management and leadership, applied research, and social service. Horizontally, it encompassed 53 corresponding competency characteristics across three advanced levels (beginner, intermediate and advanced). ConclusionThis model, through its vertical dimension design and horizontal progressive development, clearly describes the advancement of vocational undergraduate rehabilitation therapy teachers from newly hired teachers to backbone teachers and professional leaders. It not only aligns with the general requirements of the national standards for "dual-qualified" teachers in higher vocational colleges in China, but also incorporates an international perspective on rehabilitation education and practice, and possesses the characteristics of vocational undergraduate education that integrates multiple abilities and roles. At the theoretical level, it provides core theoretical support for establishing standardized and internationalized "dual-qualified" teacher standards for vocational undergraduate rehabilitation therapy programs in China; at the practical level, it serves as an "action map" for teacher professional development, assessment and evaluation, providing a key reference for constructing a systematic high-end skilled rehabilitation talent training system.

ObjectiveTo construct a competency model for "dual-qualified" teachers in vocational undergraduate rehabilitation therapy programs based on the World Health Organization's rehabilitation competency framework (RCF) and relevant domestic and international standards, and explore the training pathways for rehabilitation therapy teachers in China. MethodsLiterature analysis and comparative research methods were employed to systematically review RCF, physiotherapist-education-framework-FINAL, the Minimum-Standards-for-the-Education-of-Occupational-Therapists, and the "dual-qualified" teacher standards in vocational education for China. Focusing on the characteristics of vocational undergraduate talent cultivation, it took the integration of the "educator-clinical rehabilitation therapist" dual roles as its starting point, combining rehabilitation industry competence with educator standards as its basic principle, and using RCF as its foundational dimension. It then integrated advanced competency dimensions required of vocational undergraduate teachers to form a dimensional framework. Following the systematic curriculum development concept of the work process, the core activities of each dimension were designed by combining, improving and expanding the concept integration method, and describing the ability characteristics in a graded and progressive manner, to construct a model. ResultsThis model was guided by the core concepts of three types of values ​​and four types of professional beliefs. Vertically, it encompassed 28 activities across eight competency dimensions, including teaching practice, rehabilitation practice, digital literacy, professionalism, learning and development, management and leadership, applied research, and social service. Horizontally, it encompassed 53 corresponding competency characteristics across three advanced levels (beginner, intermediate and advanced). ConclusionThis model, through its vertical dimension design and horizontal progressive development, clearly describes the advancement of vocational undergraduate rehabilitation therapy teachers from newly hired teachers to backbone teachers and professional leaders. It not only aligns with the general requirements of the national standards for "dual-qualified" teachers in higher vocational colleges in China, but also incorporates an international perspective on rehabilitation education and practice, and possesses the characteristics of vocational undergraduate education that integrates multiple abilities and roles. At the theoretical level, it provides core theoretical support for establishing standardized and internationalized "dual-qualified" teacher standards for vocational undergraduate rehabilitation therapy programs in China; at the practical level, it serves as an "action map" for teacher professional development, assessment and evaluation, providing a key reference for constructing a systematic high-end skilled rehabilitation talent training system.

ObjectiveTo construct a competency model for "dual-qualified" teachers in vocational undergraduate rehabilitation therapy programs based on the World Health Organization's rehabilitation competency framework (RCF) and relevant domestic and international standards, and explore the training pathways for rehabilitation therapy teachers in China. MethodsLiterature analysis and comparative research methods were employed to systematically review RCF, physiotherapist-education-framework-FINAL, the Minimum-Standards-for-the-Education-of-Occupational-Therapists, and the "dual-qualified" teacher standards in vocational education for China. Focusing on the characteristics of vocational undergraduate talent cultivation, it took the integration of the "educator-clinical rehabilitation therapist" dual roles as its starting point, combining rehabilitation industry competence with educator standards as its basic principle, and using RCF as its foundational dimension. It then integrated advanced competency dimensions required of vocational undergraduate teachers to form a dimensional framework. Following the systematic curriculum development concept of the work process, the core activities of each dimension were designed by combining, improving and expanding the concept integration method, and describing the ability characteristics in a graded and progressive manner, to construct a model. ResultsThis model was guided by the core concepts of three types of values ​​and four types of professional beliefs. Vertically, it encompassed 28 activities across eight competency dimensions, including teaching practice, rehabilitation practice, digital literacy, professionalism, learning and development, management and leadership, applied research, and social service. Horizontally, it encompassed 53 corresponding competency characteristics across three advanced levels (beginner, intermediate and advanced). ConclusionThis model, through its vertical dimension design and horizontal progressive development, clearly describes the advancement of vocational undergraduate rehabilitation therapy teachers from newly hired teachers to backbone teachers and professional leaders. It not only aligns with the general requirements of the national standards for "dual-qualified" teachers in higher vocational colleges in China, but also incorporates an international perspective on rehabilitation education and practice, and possesses the characteristics of vocational undergraduate education that integrates multiple abilities and roles. At the theoretical level, it provides core theoretical support for establishing standardized and internationalized "dual-qualified" teacher standards for vocational undergraduate rehabilitation therapy programs in China; at the practical level, it serves as an "action map" for teacher professional development, assessment and evaluation, providing a key reference for constructing a systematic high-end skilled rehabilitation talent training system.

Background/Aims: Dysregulated cholesterol metabolism is a hallmark of hepatocellular carcinoma (HCC) that drives tumor initiation and progression. However, clinical targeting of cholesterol metabolism has yielded limited benefits due to stringent feedback in tumor cells. Identifying a central mediator capable of restoring cholesterol homeostasis within the cell’s intrinsically fine-tuned regulatory framework is urgently needed. Methods: We integrated a proteomic dataset from patients with cholesterol-dysregulated HCC into a global cholesterol metabolic regulatory network to identify potential therapeutic targets for disrupted cholesterol homeostasis. The prognostic significance of the candidate targets was further validated in an independent cohort through immunohistochemistry. Functional and mechanistic studies were conducted in vitro using HCC cell lines and in vivo using mouse models. The pharmacological efficacy of the candidate agent was evaluated in both subcutaneous and orthotopic HCC mouse models. Results: ER lipid raft-associated 1 (ERLIN1), a pivotal regulator of cholesterol metabolism reprogramming, was identified as an independent favorable prognostic indicator in HCC. ERLIN1 constrains HCC progression both in vitro and in vivo by stabilizing the INSIG1–SCAP–SREBP2 axis and maintaining the metabolic balance of intracellular cholesterol. Under hypoxia, impaired factor-inhibiting hypoxia-1-dependent hydroxylation of ASB11 at asparagine residues 90 and 92 enhances ASB11-mediated ERLIN1 degradation. Pharmacological targeting of this axis using zoledronic acid (ZoA) attenuated HCC progression by weakening the ASB11–ERLIN1 interaction and restoring cholesterol homeostasis. Conclusions ERLIN1 represents a druggable metabolic vulnerability in cholesterol-dysregulated HCC. Targeting the ASB11–ERLIN1 axis with the clinically approved ZoA reestablishes cholesterol homeostasis and offers a promising therapeutic strategy to overcome the current limitations of cholesterol-targeted HCC therapies.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective To explore the application prospect of robot-assisted surgery in the treatment of urolithiasis. Methods A retrospective analysis was performed on the clinical data of 1 patient with renal calculi complicated with a giant renal calyx who underwent robot-assisted laparoscopic right nephrolithotomy combined with partial nephrectomy, and the clinical diagnosis and treatment were discussed in conjunction with relevant literature.Results The patient first underwent percutaneous nephrolithotomy (PCNL) and then retrograde intrarenal surgery (RIRS) for left renal calculi.One month after left RIRS, robot-assisted laparoscopic right nephrolithotomy combined with partial nephrectomy was performed for right renal calculi.Imaging reexamination showed residual calculi in the left kidney and no obvious calculi in the right kidney.Conclusion Robot-assisted surgery provides a new minimally invasive option for complex, refractory calculi complicated with anatomical abnormalities difficult to treat with conventional PCNL/RIRS techniques.

ObjectiveCell adhesion is a critical process that regulates cellular physiological functions. Quantitative characterization of adhesion dynamics is essential for elucidating the intrinsic mechanical mechanisms underlying cellular activities. Although atomic force microscopy-based single-cell force spectroscopy is widely used for single-cell adhesion measurements, it requires complex chemical modifications for preparation of live-cell probes, leading to limitations such as cumbersome operation, low throughput, and potential impacts on cell viability. Fluidic force microscopy, which combines atomic force microscopy with microfluidic probes, is a technique allowing the operation of force-controlled nanopipettes in aqueous environments. By applying negative or positive pressure via a pressure controller, a single living cell can be captured onto or released from the cantilever under physiological conditions. This procedure offers a simple workflow and high assay throughput for single-cell adhesion measurements without the need for chemical functionalization. In this study, fluidic force microscopy-based single-cell force spectroscopy was adopted to achieve long-term quantitative characterization of single-cell adhesion dynamics in a simpler and more efficient manner, comparing the dynamic differences in adhesion establishment between two cell lines with different differentiation levels. MethodsHEK 293T and hTERT RPE-1 cells were non-invasively captured on the cantilever of a fluidic force microscope via its integrated microfluidic system during 40 h of adhesion culture. Cell-substrate detachment assays were performed, and force-distance curves were recorded to extract key mechanical adhesion parameters, including adhesion force, adhesion energy, and maximum detachment distance. These measurements were combined with real-time monitoring of cell spreading area to systematically characterize the dynamic evolution of single-cell adhesion. ResultshTERT RPE-1 cells rapidly entered a stable adhesion phase within 1 h after seeding, with both area-normalized adhesion force and area-normalized adhesion energy reaching peak values. In contrast, HEK 293T cells required 4 h to achieve stable adhesion. Subsequently, the adhesion force, adhesion energy and maximum detachment distance of hTERT RPE-1 and HEK 293T cells stabilized at approximately 240 nN vs. 30 nN, 2.2 pJ vs. 0.12 pJ and 6 μm vs. 4 μm, respectively. hTERT RPE-1 cells reached the peak of area-normalized adhesion parameters earlier than HEK 293T cells, with their peak area-normalized adhesion force and area-normalized adhesion energy being substantially elevated relative to HEK 293T cells. HEK 293T cells presented stronger linear correlations among adhesion energy, maximum detachment distance and adhesion force compared with hTERT RPE-1 cells. For both cell lines, cell spreading area exhibited a weak correlation with adhesion force. Whereas the area-normalized adhesion parameters of HEK 293T cells remained relatively constant throughout the adhesion process, hTERT RPE-1 cells exhibited elevated values in the early phase, followed by a gradual decline. These results indicated distinct dynamic adhesion patterns between the two cell types, with hTERT RPE-1 cells exhibiting stronger adhesion strength and higher adhesion efficiency. ConclusionIn this study, fluidic force microscopy-based single-cell force spectroscopy was successfully applied to perform long-term in situ quantitative measurement of the adhesion dynamics in single adherent cells. The approach revealed divergent adhesion patterns between HEK 293T and hTERT RPE-1 cells, suggesting a close association between cell differentiation and adhesion behaviors. These findings provide quantitative mechanical evidence for further understanding the underlying mechanisms of cell adhesion.