This paper reviewed the development history of doctor-patient shared decision-making （SDM） at home and abroad， emphasizing the importance of cross-cultural analysis in constructing a Chinese doctor-patient SDM model. It also delved into the relationship between Western “individualistic” sociocultural values and doctor-patient SDM， as well as the influence of China’s “collectivist” sociocultural values on doctor-patient SDM， revealing significant disparities in doctor-patient SDM models under distinct sociocultural contexts. Although the doctor-patient SDM theory in China originated from the West， this theory requires profound “collision” and adaptation with local Chinese culture to form a localized theory suited to China’s national conditions. Through cross-cultural adaptation and integrating China’s familism tradition and medical ethics concepts， the future construction of the doctor-patient SDM model in China should emphasize family members’ involvement and seek cultural balance to facilitate its widespread application in clinical practice.

The pathogenesis of metabolic dysfunction-associated steatotic liver disease （MASLD） is fundamentally rooted in spleen deficiency and is closely associated with phlegm turbidity， damp-heat and blood stasis. Clinically， liver constraint with spleen deficiency and internal retention of damp turbidity represent the predominant traditional Chinese medicine （TCM） syndrome patterns. Researches have indicated intrinsic connections between the syndrome patterns and biological indicators such as gut microbiota and metabolic profiles. Regarding treatment， classical famous formulas， modern empirical formulas， and newly developed TCM drugs show positive effects in regulating glucose and lipid metabolism， improving insulin resistance， and alleviating metabolic inflammation， exhibiting multi-target mechanisms of action； acupuncture and other external therapies also provide adjunctive value. Nevertheless， current researches still have limitations such as the lack of high-quality clinical evidence and insufficient systematic elucidation of the uncerlying mechanisms. Future efforts should focus on conducting high-quality TCM clinical trials with hard endpoint outcomes such as hepatic histology outcomes， and utilizing modern technologies like multi-omics to elucidate TCM's mechanisms of action， thereby advancing the position of TCM as a first-line therapeutic strategy for MASLD.

Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

ObjectiveIn the context of the digital transformation of education, this study aims to construct a triadic interactive teaching model for surgical animal surgery in clinical medicine using modern information technology. It explores the effectiveness of different teaching methods in improving students' practical skills, aseptic awareness, and teamwork abilities, providing a reference for the reform of clinical practice education. MethodsA quasi-experimental research design was adopted. A total of 80 students from the eight-year clinical medicine program at Nanjing University were selected, including the Class of 2020 (control group, n=40) and the Class of 2021 (experimental group, n=40). The control group received traditional teaching methods, while the experimental group implemented the "Teacher-Student-AI" triadic interactive teaching model. This model utilized a smart teaching platform for personalized pre-class preparation , as well as data-driven post-class review and feedback throughout the entire teaching process. The "assessment indicators and scoring criteria for the surgical animal surgery course" were used to evaluate teaching effectiveness, with independent samples t-tests used for statistical analysis. ResultsPre-course assessments revealed no statistically significant differences in baseline theoretical knowledge or practical skills between the two groups (P>0.05). Upon completion of the course, the experimental group achieved higher scores than the control group across three key dimensions: practical skills (47.98±1.34 vs 46.92±2.51, P=0.022), aseptic awareness (17.84±1.16 vs 16.94±2.29, P=0.029), and teamwork (16.82±1.44 vs 15.95±1.22, P=0.004). However, no statistically significant difference was observed in the scores for humane care awareness between the two groups (8.24±0.70 vs 8.16±0.53, P=0.589). ConclusionThe AI-based triadic interactive teaching model can, to some extent, address the limitations of traditional surgical animal surgery education. It plays a positive role in enhancing medical students' surgical skills, aseptic awareness, and collaborative abilities. This model facilitates the transition from traditional to personalized teaching and offers a practical framework for the digital reform of clinical practice education.

OBJECTIVE: To explore the clinical phenotypes and genetic characteristics of five children with Lamb-Shaffer syndrome (LAMSHF). METHODS: Five children with LAMSHF diagnosed at the Department of Pediatrics, the First Medical Center of Chinese PLA General Hospital from April 2021 to December 2024 were selected as study subjects. Clinical data of the children was collected. Genomic DNA was extracted from peripheral blood samples of the children and their parents. Whole exome sequencing (WES) was carried out to screen for variants. This study was approved by the Medical Ethics Committee of the Chinese PLA General Hospital (Ethics No.: S2025-411-01). RESULTS: All five children had presented with global developmental delay. Among them, two had manifestations of autism spectrum disorder, two had abnormal electroencephalogram findings, four had abnormal MRI results, and two had ocular abnormalities. WES has detected five novel variants in the SOX5 gene. Among these, c.1771G>C (p.Gly591Arg) was unreported previously. Sanger sequencing confirmed that none of the parents had carried the same variants, suggesting that they were all de novo variants. According to the guidelines from the American College of Medical Genetics and Genomics (ACMG), two nonsense variants and one missense variant were classified as pathogenic, whilst two missense variants were classified as likely pathogenic. CONCLUSION This study has clarified the correlation between the clinical phenotypes of five children with LAMSHF and variants of the SOX5 gene, which expanded the mutational spectrum of the SOX5 gene and provided a basis for the clinical diagnosis and genetic counseling.
Humans ; Male ; Female ; Phenotype ; Child, Preschool ; Child ; SOXD Transcription Factors/genetics* ; Exome Sequencing ; Mutation ; Infant

Objective To investigate the expression characteristics of the transcription factor E2F2 in clear cell renal cell carcinoma (ccRCC), its impact on patient prognosis, and its potential role in the tumor immune microenvironment, with validation using clinical samples and functional assays. Methods RNA sequencing data and clinical information of ccRCC patients were obtained from the TCGA database; GSE53757 and GSE66272 datasets were downloaded from the GEO database as external validation cohorts. The expression difference of E2F2 between ccRCC tissue and normal tissue was compared, and the relationship between E2F2 expression and clinical pathological characteristics was analyzed. Kaplan-Meier (KM) survival analysis with log-rank test was performed to evaluate the effects of E2F2 on overall survival (OS), progression-free survival (PFS), and disease-specific survival (DSS). The prognostic efficacy of E2F2 in predicting 1-, 3- and 5-year survival was evaluated using receiver operating characteristic (ROC) curve. GSEA was performed to identify E2F2-related signaling pathways, and the ESTIMATE and CIBERSORT algorithms were used to assess the relationship between E2F2 expression level and tumor immune cell infiltration and immune microenvironment. Twenty pairs of surgically resected and pathologically confirmed ccRCC tissues and matched adjacent non-tumor tissues were collected from our hospital, and immunohistochemistry (IHC) was performed to detect the protein expression of E2F2. Human ccRCC cell line 786-O was used for functional assays;shRNA was used to knock down E2F2 expression (constructing stable shE2F2#1 and shE2F2#2 cell lines), and qRT-PCR and Western blot were performed to verify knockdown efficiency, followed by MTT, colony formation, and Transwell migration assays to evaluate the effects of E2F2 on the biological behaviors of ccRCC cells. Results E2F2 was significantly upregulated in ccRCC tissues (the same results in the verification set). Higher E2F2 expression was associated with advanced histological grade, clinical stage and higher TNM classification (P＜0.05). KM analysis showed that patients in the E2F2 high-expression group had worse OS, PFS, and DSS (P=0.019, 0.036, ＜0.001); the ROC curves showed area under the curve (AUC) of E2F2 of predicting 1-, 3- and 5- year survival of ccRCC patients were 0.844, 0.851 and 0.815, respectively. GSEA revealed that the E2F2 low-expression group was enriched in multiple metabolism-related pathways, whereas the E2F2 high-expression group was associated with immune-related pathways. Immune analysis demonstrated that high E2F2 expression was associated with increased immune scores, increased proportion of immune cells, higher tumor mutation burden, and potentially stronger immunotherapy response. IHC results showed that the E2F2 immunoreactivity score in ccRCC tissues was significantly higher than that in adjacent non-tumor tissues (P＜0.05). Functional assays indicated that E2F2 knockdown significantly inhibited the proliferation, colony formation, and migration of ccRCC cells. Conclusion E2F2 is highly expressed in ccRCC and may be involved in tumorigenesis and progression through modulation of the immune microenvironment. Its expression level is closely associated with patient prognosis, and E2F2 has the potential to serve as a prognostic biomarker and immunotherapeutic target in ccRCC.

Objective To analyze the status of teaching occupational health and occupational medicine course under the background of new medical science, and to construct a semantic knowledge graph to realize the digital teaching reform of the course. Methods i) The literature on teaching research of occupational health and occupational medicine courses published between January 1, 2005 to December 31, 2025 was retrieved through the China National Knowledge Infrastructure. CiteSpace 6.4.R2 and VOSviewer 1.6.20 were used for bibliometric visualization. ii) A knowledge graph system based on Web front-end was constructed using the textbook of Occupational Health and Occupational Medicine (9th ed.), published by People's Medicine Publishing House, as the core data source. Results i) A total of 240 publications related to the teaching in occupational health and occupational medicine courses were included. The overall number of publications showed an upward trend. The research focused on curriculum teaching reform, curriculum-based political education, and digital technology-empowered teaching, forming an interdisciplinary and multi-dimensional research system. The evolution of keywords included three stages: the foundation period (2005-2015), the growth period (2016-2020), and the innovation period (2021-2025). ii) The constructed semantic knowledge graph realizes structural visualization and a dual-mode intelligent question answering agent. A total of four independent navigation modules, including chapter overview, core concept exploration, learning progress details, and relationship network visualization, were used to achieve multidimensional learning pathways. The system requires no installation and supports cross-platform operation, meeting the needs of both teachers and students. It effectively helps students establish systematic knowledge frameworks and enhances interdisciplinary integration ability and learning initiative. Conclusion In the context of new medical science, research on teaching in occupational health and occupational medicine has evolved from a niche field into a research hotspot and entered a stage of high-quality development. The constructed semantic knowledge graph for the Occupational Health and Occupational Medicine course facilitates digital teaching reform in this field and lays a solid foundation for cultivating high-level interdisciplinary occupational health professionals.

ObjectiveTo investigate the differential expression of LEFTY1 in peritoneal dialysis （PD）-associated peritoneal fibrosis （PF） and its clinical value. MethodsLevels of LEFTY1， transforming growth factor-β （TGF-β）， and fibronectin （FN） in peritoneal dialysis effluent were measured in 72 PD patients， and clinical data were collected. Differences in these indicators were compared among groups with different dialysis durations， and the correlation between LEFTY1 and clinical parameters was analyzed to evaluate its predictive value for ultrafiltration insufficiency. ResultsLEFTY1 levels decreased progressively with longer dialysis duration： short-term group ［（2 262.49±270.47） ng/mL］ > mid-term group ［（1 853.52±226.06） ng/mL］ > long-term group ［（1 767.24±264.57） ng/mL］， with significant differences among groups （P<0.001）. TGF-β and FN levels increased with prolonged dialysis duration （P<0.05）. Correlation analysis revealed that LEFTY1 was significantly negatively correlated with FN （r=-0.327， P=0.004）， dialysis duration （r=-0.496，P<0.001）， peritoneal Kt/V （r=-0.333， P=0.004）， peritoneal creatinine clearance （r=-0.239， P=0.043）， and serum calcium （r=-0.410， P<0.001）， while positively correlated with total creatinine clearance （r=0.283， P=0.016）. The area under the ROC curve for LEFTY1 combined with peritoneal Kt/V and peritoneal Ccr in predicting ultrafiltration insufficiency was 0.739. Multivariate regression analysis identified dialysis duration as an independent influencing factor for LEFTY1 expression （P=0.001）. ConclusionThe expression of LEFTY1 in the peritoneal dialysis effluent of PD patients decreases with prolonged dialysis duration and is negatively correlated with pro-fibrotic indicators， suggesting that it may play a potential anti-fibrotic role in the progression of PF. The combined detection of LEFTY1 and solute removal indicators holds value for the early identification of ultrafiltration dysfunction.

Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.