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.

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.

Objective: To identify the latent profile characteristics and associated factors of family intergenerational transmission of proactive health behaviors in overweight and obesity junior high school students, so as to provide a reference for promoting active health in adolescents. Methods: From October to December 2024, a stratified cluster random sampling method was employed to select 4 932 junior high school students with overweight and obesity from 18 junior high schools of three cities representing the eastern (Yantai), central (Zibo), and western (Zaozhuang) regions of Shandong Province. Latent profile analysis was used to explore the heterogeneity of family intergenerational transmission among those students. Univariate analysis and multiple Logistic regression analysis were conducted to identify factors associated with different profiles and to examine the influence of profile membership on junior high school students proactive health levels. Results: The intergenerational transmission of health behaviors in junior high school students could be classified into 3 latent profiles:the moderate modeling dysfunctional group (5.88%, n =290), the low modeling advantage deficient group (41.79%, n =2 061), and the high modeling functional harmonious group ( 52.33 % n =2 581). Univariate analysis showed that gender, urban/rural area, region location, paternal/maternal education level, family economic status, and only child status were significantly associated with the classification of latent profiles of intergenerational transmission in families of overweight and obesity junior high school students ( χ 2=7.63-165.22, all P <0.05). Multiple Logistic regression analysis revealed that, using the moderate modeling dysfunctional group as the reference, male students ( OR =0.71) and those residing in coastal cities ( OR =0.74) were less likely to belong to the low modeling advantage deficient group (both P <0.05); students with moderate family economic status were more likely to belong to the low modeling advantage deficient group ( OR =1.72， P <0.05). Conversely, students living in urban areas ( OR =1.43), those with fathers ( OR =2.53) or mothers ( OR =2.48) having a college degree or above, and those with moderate ( OR =3.89) or good ( OR =2.42) family economic status were more likely to be classified into the high modeling functional harmonious group (all P < 0.05 ). Using the low modeling advantage deficient group as the reference, residing in coastal cities ( OR =1.26), living in urban residence ( OR =1.14), having parents (father or mother) with a college education or above ( OR =1.91, 2.33), moderate or good family economic status ( OR = 2.27 , 3.17), and being an only child ( OR =1.19) were associated with a higher probability of belonging to the high modeling functional harmonious group (all P < 0.05 ). There was a statistically significant difference in active health behaviors among students across different latent profiles of family intergenerational transmission ( F =494.79, P <0.01). Conclusions The heterogeneity of family intergenerational transmission is associated the level of proactive health behaviors among junior high school students. Therefore, precision interventions should be implemented based on different categories of family intergenerational transmission, so as to strengthen the efficacy of intergenerational transmission of health behaviors and promote proactive health among junior high school students.

OBJECTIVE To investigate the effects of MIR149 rs2292832 and MIR499 rs3746444 gene polymorphisms on the efficacy of tofacitinib combined with iguratimod in the treatment of moderate‑to‑severe rheumatoid arthritis （RA）， to provide genetic reference for individualized treatment of moderate‑to‑severe RA patients.METHODS This was a prospective cohort study， and patients were grouped according to genotyping results. A total of 320 patients with moderate-to-severe RA diagnosed in the department of immunology of our hospital between January 2023 and January 2024 were enrolled. All patients received standardized treatment with tofacitinib （5 mg twice daily） combined with iguratimod （25 mg twice daily） for 24 weeks treatment course. Clinical efficacy outcomes， including American College of Rheumatology （ACR） 20/50/70 responses， disease activity score‑28 based on C‑reactive protein （DAS28-CRP）， erythrocyte sedimentation rate （ESR） and C-reactive protein （CRP）， were compared among patients with different genotypes. Combined-genotype analysis and multivariate Logistic regression analysis were also performed.RESULTS The MIR149 rs2292832 CC-genotype patients exhibited significantly higher ACR20， ACR50 and ACR70 response rates （88.90%， 67.78%， 45.56%） than those carrying CT- and TT-genotypes （ P ＜0.05）. After 24 weeks treatment， the reductions in DAS28‑CRP， ESR and CRP were significantly greater in CC‑genotype patients than in CT‑ and TT‑genotype patients （ P ＜0.05）， and the 24‑week DAS28‑CRP was significantly lower in the CC‑genotype patients than in CT‑ and TT‑genotype patients （ P ＜0.05）. The MIR499 rs3746444 GG-genotype showed significantly higher ACR20， ACR50 and ACR70 response rates （91.46%， 73.17%， 52.44%） than those carrying AG‑ and AA‑genotypes （ P ＜0.05）. After 24 weeks of treatment， the reductions in DAS28‑CRP， ESR and CRP were significantly greater in GG‑genotype patients than in AG- and AA-genotype patients and the 24‑weeks DAS28‑CRP was significantly lower in the GG‑genotype patients than in AG- and AA-genotype patients （ P ＜0.05）. Among the nine combined‑genotyps， the CC+GG genotype yielded the best treatment response. The MIR149 rs2292832 CC and MIR499 rs3746444 GG genotypes were independent predictors of clinical remission （ P ＜0.01）， whereas baseline DAS28‑CRP ≥ 6.5 served as a negative predictor of clinical remission （ P ＜0.05）.CONCLUSIONS Gene polymorphisms of MIR149 rs2292832 and MIR499 rs3746444 significantly influence the therapeutic effect of tofacitinib combined with iguratimod in patients with moderate-to-severe RA. Patients carrying CC and GG genotypes achieve better treatment responses.