ObjectiveThis paper aims to investigate the role of NDC80 kinetochore complex component （NUF2） and magnesium homeostasis in ovarian cancer cell apoptosis， as well as the regulatory mechanism of gypenoside L （Gyp-L） on NUF2 and magnesium homeostasis. MethodsOvarian cancer OVCAR3 cells were divided into a blank control group， a low-concentration Gyp-L group （50 µmol·L^-1）， a high-concentration Gyp-L group （100 µmol·L^-1）， and a cisplatin （15 µmol·L^-1） group. The migration， proliferation， and apoptosis capabilities of OVCAR3 cells were evaluated through cell scratch assays， clonal experiments， and terminal-deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling assay （TUNEL） staining. Differentially expressed genes of ovarian cancer were screened by using the Gene Expression Omnibus （GEO） database. The interaction relationships of differentially expressed genes and proteins were analyzed via the Search Tool for Recurring Instances of Neighbouring Genes （STRING） database. The prognostic survival analysis was performed by using the Tumor Immune Estimation Resource （TIMER） database， and the differential expression levels of genes were validated with the Gene Expression Profiling Interactive Analysis （GEPIA） database. The mRNA expression levels of NUF2， magnesium homeostasis-related indicators， such as magnesium transporter 1 （MAGT1）， non-imprinted in Prader-Willi/Angelman syndrome 1 （NIPA1）， NIPA-like domain containing 1 （NIPAL1）， as well as apoptosis-related indicators B cell lymphoma-2 （Bcl-2） and Bcl-2-associated X protein （Bax） in OVCAR3 cells， were detected by real-time quantitative polymerase chain reaction （Real-time PCR）. The protein expression levels of NUF2， MAGT1， NIPA1， NIPAL1， Bcl-2， and Bax in OVCAR3 cells were quantitatively analyzed by ProteinSimple WES. A model of overexpression of NUF2 was constructed， and Gyp-L intervention was performed. The molecular mechanism by which Gyp-L induces ovarian cancer cell apoptosis by regulating NUF2 and influencing magnesium homeostasis was quantitatively analyzed and detected through cell cloning， TUNEL staining， Real-time PCR， and ProteinSimple WES. Finally， the Mg²⁺ content and protein synthesis efficiency were detected by immunofluorescence. ResultsGyp-L significantly inhibited the migration and proliferation capabilities of OVCAR3 cells and promoted their apoptosis （P<0.05）. Overexpression of NUF2 markedly increased the expression levels of MAGT1， NIPA1， NIPAL1， and Bcl-2， while reducing the expression level of Bax （P<0.05）. It also significantly elevated intracellular Mg²⁺ content and protein synthesis efficiency and simultaneously inhibited apoptosis （P<0.05）. Gyp-L could reverse the magnesium homeostasis imbalance and apoptosis inhibition caused by the overexpression of NUF2， downregulating the expression levels of NUF2， MAGT1， NIPA1， NIPAL1， and Bcl-2 （P<0.05）， while upregulating the expression level of Bax （P<0.05）. ConclusionGyp-L can inhibit the occurrence of ovarian cancer， and its mechanism may involve inhibiting the expression of NUF2 to maintain magnesium homeostasis and inducing apoptosis of ovarian cancer cells.

OBJECTIVE To provide scientific reference for perfecting the record-filing management policy of traditional Chinese medicine preparations formulated via traditional processes for medical applications （hereinafter referred to as “TCM preparations”） in medical institutions， and further promote the sound development of the research and record-filing work of such preparations. METHODS A literature review combined with cross-sectional research was carried out. We collected policy documents and preparation information related to the record-filing of TCM preparations issued by national and provincial drug administration authorities on official websites during 2018-2025. A comparative analysis was conducted on the implementation and revision of core policy documents for the registration management of TCM preparations across provinces， the scope of record-filing dosage forms， conditions for rejection of record-filing， and exemptions for registration materials. Statistical analysis on the quantity and dosage forms of record-filing preparations in each province was conducted by means of data induction and trend chart plotting， and targeted suggestions were put forward to optimize the management pathway of record-filing. RESULTS CONCLUSIONS There was obvious heterogeneity in record-filing policies among provinces. Twelve provinces refined the applicable dosage forms for record-filing， fifteen provinces supplemented conditions for rejection of record-filing （16 items in total）， and nine provinces expanded the scope of material exemptions. The number of recorded preparations presented a striking regional imbalance：Qinghai had the largest quantity of 4 269 varieties， while Hainan only had 14 varieties， with a gap of more than 300 times. The recorded preparations were mainly traditional dosage forms including pills （6 928 varieties） and powders （4 360 varieties）. Only 12 provinces formulated the provincial catalog for TCM preparations allocation. In most regions， preparation circulation was only permitted within medical consortia， leading to a low transformation rate of scientific and technological achievements of preparations. It is recommended to optimize the record-filing management pathway from three aspects： strengthening policy standardization while maintaining flexibility， streamlining record-filing procedures and documentary requirements， and reinforcing technical support and achievement transformation. These measures can reduce regional policy differences， improve work efficiency of record-filing， and advance the standardized development and clinical value transformation of hospital-made TCM preparations.

OBJECTIVE To provide scientific reference for perfecting the record-filing management policy of traditional Chinese medicine preparations formulated via traditional processes for medical applications （hereinafter referred to as “TCM preparations”） in medical institutions， and further promote the sound development of the research and record-filing work of such preparations. METHODS A literature review combined with cross-sectional research was carried out. We collected policy documents and preparation information related to the record-filing of TCM preparations issued by national and provincial drug administration authorities on official websites during 2018-2025. A comparative analysis was conducted on the implementation and revision of core policy documents for the registration management of TCM preparations across provinces， the scope of record-filing dosage forms， conditions for rejection of record-filing， and exemptions for registration materials. Statistical analysis on the quantity and dosage forms of record-filing preparations in each province was conducted by means of data induction and trend chart plotting， and targeted suggestions were put forward to optimize the management pathway of record-filing. RESULTS CONCLUSIONS There was obvious heterogeneity in record-filing policies among provinces. Twelve provinces refined the applicable dosage forms for record-filing， fifteen provinces supplemented conditions for rejection of record-filing （16 items in total）， and nine provinces expanded the scope of material exemptions. The number of recorded preparations presented a striking regional imbalance：Qinghai had the largest quantity of 4 269 varieties， while Hainan only had 14 varieties， with a gap of more than 300 times. The recorded preparations were mainly traditional dosage forms including pills （6 928 varieties） and powders （4 360 varieties）. Only 12 provinces formulated the provincial catalog for TCM preparations allocation. In most regions， preparation circulation was only permitted within medical consortia， leading to a low transformation rate of scientific and technological achievements of preparations. It is recommended to optimize the record-filing management pathway from three aspects： strengthening policy standardization while maintaining flexibility， streamlining record-filing procedures and documentary requirements， and reinforcing technical support and achievement transformation. These measures can reduce regional policy differences， improve work efficiency of record-filing， and advance the standardized development and clinical value transformation of hospital-made TCM preparations.

This paper summarizes professor ZHOU Zhongying's clinical experience in differentiating and treating miscellaneous internal diseases using Erjia Longgu Decoction （二加龙骨汤）. It is proposed that Erjia Longgu Decoction exerts the effects of clearing the upper and warming the lower， nourishing yin and suppressing yang， and harmonizing yin and yang， applicable for miscellaneous internal diseases characterized by the core pathogenesis of insufficient ying-yin （营阴） and floating deficient yang. In clinical practice， treatment is tailored according to individual patient conditions， with emphasis placed on gentle and flexible medication use. Erjia Longgu Decoction is used as the foundational formula with appropriate modifications， and has been widely applied in the management of miscellaneous internal diseases， such as dizziness， palpitations， insomnia， nocturnal emission， cold intolerance， and sweating disorders， offering new perspectives for the expanded application of classical formulas.

ObjectiveTo explore the molecular mechanism through which modified Guizhi Fulingwan （MGZFLW） promotes apoptosis and inhibits prostate cancer through the miR-34a-5p/δ-like protein 1 （DLL1）/Notch signaling pathway based on the traditional Chinese medicine theory of Yang transforming Qi while Yin constituting form. MethodsThe optimal intervention conditions of MGZFLW-containing serum and docetaxel （DXT） were screened by the cell counting kit-8 （CCK-8） method. Human prostate cancer cells （PC-3） were allocated into blank， MGZFLW （10%）， and DXT （30 nmol·L^-1） groups. The effects of MGZFLW-containing serum on the migration and proliferation of PC-3 cells were evaluated by cell scratch and colony formation assays， and the apoptosis of PC-3 cells was detected by terminal-deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling （TUNEL） assay. The cells were transfected with miR-34a-5p mimics and miR-34a-5p inhibitor. The mRNA levels of miR-34a-5p， DLL1， Notch1 and its downstream effector factors Notch1 intracellular domain （NICD1）， Hes family basic helix-loop-helix transcription factor 1 （Hes1）， and hairy/enhancer-of-split related with YRPW motif 1 （Hey1） were determined by Real-time PCR. The protein levels of DLL1， Notch1， NICD1， Hes1， and Hey1 were determined by a WES fully automatic protein system. The effect of miR-34a-5p on the DLL1-mediated Notch pathway was evaluated based on the results. Further， after MGZFLW-containing serum intervention， the expression of DLL1 and Notch1 was detected by the immunofluorescence （IF） assay， and the mRNA and protein levels of miR-34a-5p/DLL1/Notch pathway-related molecules were quantified by Real-time PCR and the WES fully automatic protein system， respectively， to explore the regulatory effect of MGZFLW-containing serum on the miR-34a-5p/DLL1/Notch pathway. ResultsMGZFLW-containing serum inhibited the viability， migration， and proliferation and promote the apoptosis of PC-3 cells （P<0.01）. The overexpression of miR-34a-5p down-regulated the mRNA and protein levels of key molecules in the DLL1/Notch signaling pathway and promoted cell apoptosis （P<0.01）， while inhibition of miR-34a-5p had the opposite effects. MGZFLW-containing serum reversed the activation of the DLL1/Notch pathway and the inhibition of apoptosis caused by miR-34a-5p inhibition， up-regulated the expression of miR-34a-5p， and down-regulated the expression of related molecules in this pathway （P<0.01）. ConclusionMGZFLW can up-regulate the expression of miR-34a-5p to inhibit the DLL1/Notch signaling pathway and promote the apoptosis of prostate cancer cells， thereby inhibiting prostate cancer. This study provides experimental evidence for clarifying the molecular mechanism of the anti-prostate cancer effect of this formula.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

Gastric cancer is a high-incidence malignancy that poses a serious threat to public health in China, ranking among the top three cancers in both incidence and mortality. The majority of patients are diagnosed at an advanced stage, resulting in limited treatment options and poor prognosis. To address key challenges in gastric cancer diagnosis and treatment, a research team led by Professor Jiafu Ji at Peking University Cancer Hospital has focused on the project "Development and Dissemination of Precision Medicine Approaches in Gastric Cancer Management". Through a series of high-quality multicenter clinical studies, the team established a set of new international standards in perioperative treatment, individua-lized drug selection, intelligent noninvasive diagnostics, and novel immunotherapy strategies. These advances have significantly improved treatment efficacy and reduced surgical trauma, achieving key technological breakthroughs in diagnosis, therapy, and mechanistic understanding, and systematically enhancing outcomes for gastric cancer patients. The project ' s findings had a broad international impact, including hosting China ' s first International Gastric Cancer Congress. Through nationwide dissemination, they have promoted the development of precision diagnosis and treatment of gastric cancer as a discipline, and led the formulation of the National Health Commission's guidelines for gastric cancer diagnosis and treatment. In recognition of its achievements, the project was awarded the First Prize of the 2024 Chinese Medical Science and Technology Award.
Stomach Neoplasms/genetics* ; Humans ; Precision Medicine/methods* ; China ; Immunotherapy/methods*

OBJECTIVE: To identify the underlying molecular mechanism of Modified Hu-Lu-Ba-Wan (MHW) in alleviating renal lesions in mice with diabetic kidney disease (DKD). METHODS: The db/db mice were divided into model group and MHW group according to a random number table, while db/m mice were settled as the control group (n=8 per group). The control and model groups were gavaged daily with distilled water [10 mL/(kg·d)], and the MHW group was treated with MHW [17.8 g/(kg·d)] for 6 weeks. After MHW administration for 6 weeks, indicators associated with glucolipid metabolism and urinary albumin were tested. Podocytes were observed by transmission electron microscopy. Kidney transcriptomics was performed after confirming therapeutic effects of MHW on DKD mice. The relevant target of MHW' effect in DKD was further determined by enzyme-linked immunosorbent assay, Western blot analysis, immunohistochemistry, and immunofluorescence staining. RESULTS: Compared with the model group, MHW improved glucose and lipid metabolism (P<0.05), and reduced lipid deposition in the kidney. Meanwhile, MHW reduced the excretion of urinary albumin (P<0.05) and ameliorated renal damage. Transcriptomic analysis revealed that the inflammation response, particularly the interleukin-17 (IL-17) signaling pathway, may be responsible for the effect of MHW on DKD. Furtherly, our results found that MHW inhibited IL-17A and alleviated early fibrosis in the diabetic kidney. CONCLUSION MHW ameliorated renal damage in DKD via inhibiting IL-17A, suggesting a potential strategy for DKD therapy.
Animals ; Diabetic Nephropathies/genetics* ; Interleukin-17/antagonists & inhibitors* ; Drugs, Chinese Herbal/therapeutic use* ; Male ; Kidney/ultrastructure* ; Podocytes/metabolism* ; Mice ; Albuminuria ; Lipid Metabolism/drug effects* ; Mice, Inbred C57BL

BACKGROUND: The urban-rural disparities in overweight and obesity among children and adolescents are narrowing, and there is a need for long-term and updated data to explain this inequality, understand the underlying mechanisms, and identify priority groups for interventions. METHODS: We analyzed data from seven rounds of the Chinese National Survey on Students Constitution and Health (CNSSCH) conducted from 1985 to 2019, focusing on school-age children and adolescents aged 7-18 years. Joinpoint regression was used to identify inflection points (indicating a change in the trend) in the prevalence of overweight and obesity during the study period, stratified by urban/rural areas and sex. Annual percent change (APC), average annual percent change (AAPC), and 95% confidence interval (CI) were used to describe changes in the prevalence of overweight and obesity. Polynomial regression models were used to predict the prevalence of overweight and obesity among children and adolescents in 2025 and 2030, considering urban/rural areas, sex, and age groups. RESULTS: The prevalence of overweight and obesity in urban boys and girls showed an inflection point of 2000, with AAPC values of 10.09% (95% CI: 7.33-12.92%, t = 7.414, P <0.001) and 8.67% (95% CI: 6.10-11.30%, t = 6.809, P <0.001), respectively. The APC for urban boys decreased from 18.31% (95% CI: 4.72-33.67%, t = 5.926, P = 0.027) to 4.01% (95% CI: 1.33-6.75%, t = 6.486, P = 0.023), while the APC for urban girls decreased from 13.88% (95% CI: 1.82-27.38%, t = 4.994, P = 0.038) to 4.72% (95% CI: 1.43-8.12%, t = 6.215, P = 0.025). However, no inflection points were observed in the best-fit models for rural boys and girls during the period 1985-2019. The prevalence of overweight and obesity for both urban and rural boys is expected to converge at 35.76% by approximately 2027. A similar pattern is observed for urban and rural girls, with a prevalence of overweight and obesity reaching 20.86% in 2025. CONCLUSIONS The prevalence of overweight and obesity among Chinese children and adolescents has been steadily increasing from 1985 to 2019. A complete reversal in urban-rural prevalence is expected by 2027, with a higher prevalence of overweight and obesity in rural areas. Urgent action is needed to address health inequities and increase investments, particularly policies targeting rural children and adolescents.
Humans ; Child ; Adolescent ; Female ; Male ; Rural Population/statistics & numerical data* ; Overweight/epidemiology* ; Prevalence ; China/epidemiology* ; Pediatric Obesity/epidemiology* ; Obesity/epidemiology* ; Urban Population

Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*