Endodontic microsurgery (EMS) is an oral surgical procedure that utilizes the magnification and illumination provided by a microscope. Fine instruments are used to remove periapical diseased tissues, resect the root apex, and tightly seal the root canal system, aiming to promote the healing of periapical tissues and retain the affected tooth whenever possible. Precise localization and resection of the root apex have always been challenging in EMS. The application of digital technology in EMS can address many issues in traditional endodontic microsurgery. Digital technology offers advantages such as optimizing surgical planning, providing precise positioning guidance, and enhancing operational accuracy. Currently, the commonly used digital technologies in EMS include static and dynamic navigation technologies and oral surgical robots. Static navigation technology enhances surgical predictability through precise preoperative planning and guided fabrication, yet is constrained by its inability to adjust during surgery. Dynamic navigation technology excels in real-time tracking and intraoperative flexibility but demands high hand-eye coordination from surgeons and may be hindered by bulky handheld devices. Oral surgical robots reduce hand tremors and human error in surgery with their high precision, stability, and ability to adjust in real time, but their clinical applicability is limited and their cost is high. In clinical practice, tailored combinations of these technologies can be applied based on case complexity. For simple cases with well-defined anatomy, static navigation alone may suffice. For complex anatomical cases, static navigation can provide initial planning, supplemented by dynamic navigation for real-time guidance or robotic systems for high-precision execution. This paper discusses the workflow, clinical application status and advantages and limitations of these three digital technologies in EMS. The continuous development of digital technology is expected to simplify the operation process, improve the navigation accuracy, and reduce the operation cost. It is believed that with continuous improvement and optimization, these technologies will effectively break through the current bottleneck of the cost of equipment, operation complexity, and accuracy enhancement. These technologies are also expected to further expand the application boundaries, providing more minimally invasive, precise, and time-saving personalized treatment solutions for endodontic diseases.

Objective: To establish a prediction model for high-risk cardiovascular disease (CVD) among residents aged 35 to 75 years, so as to provide the basis for improving CVD prevention and control measures. Methods: Permanent residents aged 35 to 75 years were selected from Dongcheng District, Beijing Municipality using the stratified random sampling method from 2018 to 2023. Demographic information, lifestyle, waist circumference and blood biochemical indicators were collected through questionnaire surveys, physical examinations and laboratory tests. Influencing factors for high-risk CVD among residents aged 35 to 75 years were identified using a multivariable logistic regression model, and a prediction model for high-risk CVD was established. The predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Results: A total of 6 968 individuals were surveyed, including 2 821 males (40.49%) and 4 147 females (59.51%), and had a mean age of (59.92±9.33) years. There were 1 155 high-risk CVD population, with a detection rate of 16.58%. Multivariable logistic regression analysis showed that gender, age, smoking, central obesity, systolic blood pressure, fasting blood glucose, triglyceride and low-density lipoprotein cholesterol were influencing factors for high-risk CVD among residents aged 35 to 75 years (all P<0.05). The area under the ROC curve of the established prediction model was 0.849 (95%CI: 0.834-0.863), with a sensitivity of 0.693 and a specificity of 0.863, indicating good discrimination. Conclusion The model constructed by eight factors including demographic characteristics, lifestyle and blood biochemical indicators has good predictive value for high-risk CVD among residents aged 35 to 75 years.

Surgical treatment is one of the key approaches for non-small cell lung cancer (NSCLC). Regular postoperative follow-up is crucial for early detection and timely management of tumor recurrence, metastasis, or second primary tumors. A scientifically sound and reasonable follow-up strategy not only extends patient survival but also significantly improves quality of life, thereby enhancing overall prognosis. This consensus aims to build upon the previous version by incorporating the latest clinical research advancements and refining postoperative follow-up protocols for early-stage NSCLC patients based on different treatment modalities. It provides a scientific and practical reference for clinicians involved in the postoperative follow-up management of NSCLC. By optimizing follow-up strategies, this consensus seeks to promote the standardization and normalization of lung cancer diagnosis and treatment in China, helping more patients receive high-quality care and long-term management. Additionally, the release of this consensus is expected to provide insights for related research and clinical practice both domestically and internationally, driving continuous development and innovation in the field of postoperative management for NSCLC.

Background: The genus Atractylodes, native to East Asia, encompasses several species that serve as sources for the widely used traditional Chinese medicines Atractylodis Macrocephalae Rhizoma and Atractylodis Rhizoma. However, the international trade arouses concern regarding potential confusion and misidentification of Atractylodes species. Objective: A comprehensive understanding of the chemical diversity is crucial for ensuring the quality and exploring the potential variations in medicinal efficacy of Atractylodes. Methods: The GC-MS/MS-based metabolomics and multivariate statistical analysis identified 589 differentially accumulated metabolites across 5 Atractylodes species. Results: A total of 150 metabolites were predicted as potential chemical markers for species differentiation and quality assessment of Atractylodes. According to the metabolic profiles, the species of Atractylodes can be roughly classified into three categories: A. lancea and A. coreana with the volatile oil components being mainly atractylodin and β-eudesmol; A. macrocephala with the biomarker being atractylon; and A. japonica and A. carlinoides lying between the two categories above. Conclusions: Metabolomic results indicated that the metabolic profiles of A. carlinoides and A. macrocephala were similar and distinct from those of the other three species. Sesquiterpenoids were the main chemical components in the rhizome of A. carlinoides, which indicated the potential medicinal value of this plant.

Background: The genus Atractylodes, native to East Asia, encompasses several species that serve as sources for the widely used traditional Chinese medicines Atractylodis Macrocephalae Rhizoma and Atractylodis Rhizoma. However, the international trade arouses concern regarding potential confusion and misidentification of Atractylodes species. Objective: A comprehensive understanding of the chemical diversity is crucial for ensuring the quality and exploring the potential variations in medicinal efficacy of Atractylodes. Methods: The GC-MS/MS-based metabolomics and multivariate statistical analysis identified 589 differentially accumulated metabolites across 5 Atractylodes species. Results: A total of 150 metabolites were predicted as potential chemical markers for species differentiation and quality assessment of Atractylodes. According to the metabolic profiles, the species of Atractylodes can be roughly classified into three categories: A. lancea and A. coreana with the volatile oil components being mainly atractylodin and β-eudesmol; A. macrocephala with the biomarker being atractylon; and A. japonica and A. carlinoides lying between the two categories above. Conclusions: Metabolomic results indicated that the metabolic profiles of A. carlinoides and A. macrocephala were similar and distinct from those of the other three species. Sesquiterpenoids were the main chemical components in the rhizome of A. carlinoides, which indicated the potential medicinal value of this plant.

Background: The genus Atractylodes, native to East Asia, encompasses several species that serve as sources for the widely used traditional Chinese medicines Atractylodis Macrocephalae Rhizoma and Atractylodis Rhizoma. However, the international trade arouses concern regarding potential confusion and misidentification of Atractylodes species. Objective: A comprehensive understanding of the chemical diversity is crucial for ensuring the quality and exploring the potential variations in medicinal efficacy of Atractylodes. Methods: The GC-MS/MS-based metabolomics and multivariate statistical analysis identified 589 differentially accumulated metabolites across 5 Atractylodes species. Results: A total of 150 metabolites were predicted as potential chemical markers for species differentiation and quality assessment of Atractylodes. According to the metabolic profiles, the species of Atractylodes can be roughly classified into three categories: A. lancea and A. coreana with the volatile oil components being mainly atractylodin and β-eudesmol; A. macrocephala with the biomarker being atractylon; and A. japonica and A. carlinoides lying between the two categories above. Conclusions: Metabolomic results indicated that the metabolic profiles of A. carlinoides and A. macrocephala were similar and distinct from those of the other three species. Sesquiterpenoids were the main chemical components in the rhizome of A. carlinoides, which indicated the potential medicinal value of this plant.

Background: The global rise in visual impairment, driven by population aging, the increasing prevalence of lifestyle-related chronic diseases, and environmental factors, has made it a critical public health concern, highlighting the urgent need for effective preventive strategies and eye health maintenance. Cuscutae Semen (CS), a traditional Chinese herbal medicine long regarded for its vision-enhancing properties, has been widely used to support ocular health. However, its underlying molecular mechanisms and bioactive constituents remain poorly understood, limiting its modernization and broader clinical application. Objective: This study aims to investigate the restorative effects of CS on visual impairment, elucidate its underlying mechanisms, and identify potential active components. Methods: A zebrafish model of visual impairment was established using mepanipyrim to simulate retinal structural damage and visual dysfunction. The therapeutic effects of CS were systematically evaluated through behavioral analyses and histomorphological observations. To elucidate the underlying mechanisms, an integrated approach was employed, combining transcriptome sequencing (RNA-seq), reverse transcription quantitative polymerase chain reaction validation, and immunofluorescence staining to identify critical genes and pathways involved. Furthermore, macroporous resin column chromatography was employed for the fractionation and screening of potential active components. Results: CS treatment significantly alleviated mepanipyrim-induced ocular abnormalities in zebrafish, restoring approximately 82% of the observed morphological defects. Behavioral assessments revealed that CS-treated zebrafish exhibited markedly increased swimming speed and distance, indicating enhanced visual light sensitivity. Histopathological analysis demonstrated that CS effectively repaired the structure of retinal cell layers. RNA-seq revealed that CS broadly reversed mepanipyrim-induced gene expression disturbances, suggesting a restorative effect on transcriptomic homeostasis. Gene Ontology enrichment analysis identified the phototransduction pathway as a key mediator of CS’s therapeutic effects. This was further supported by reverse transcription quantitative polymerase chain reaction validation of critical genes and immunofluorescence staining, which confirmed the restored expression of Pde6a and Gnat2, key proteins involved in photic signal transmission. Active component screening indicated that high-polar constituents, including chlorogenic acid, may constitute one of the major bioactive fractions responsible for the observed therapeutic effects. Conclusion: This study provides evidence of the vision-protective effects of CS in a zebrafish model, demonstrating that its therapeutic mechanism involves modulation of the phototransduction pathway. Chlorogenic acid was identified as one of the key bioactive constituents contributing to this effect. These findings not only provide scientific validation for the traditional use of CS in ocular protection but also present promising therapeutic prospects for the prevention and treatment of visual impairment.

Guidelines for Digital Ancient Books of TCM Indexing(T/CIATCM 119-2024)is based on the theoretical knowledge,disciplinary methods,and practical applications of TCM classical cataloging.Taking digital ancient books of TCM as the object,it systematically reveals the content of TCM knowledge,which is an essential indexing processing standard for building an intelligent retrieval system for TCM ancient books,and can provide support for the deep development and innovative utilization of TCM knowledge.It can not only promote the co-construction and sharing of ancient book resources in the TCM industry,but also promote the standardization construction and application of TCM information.This standard specifies the principles,methods,and examples of free indexing of digital ancient books of TCM based on their original content.It is applicable to the indexing and processing of digital ancient books of TCM for TCM professional libraries and related institutions,and to the data processing and construction of various types of TCM ancient book databases.

With the rise of the digital era,various digital technologies,including three-dimensional printing,reconstruction,and visualization,have been widely applied in medicine,particularly in surgery,advancing medical development and innovation.Digital technology and preci-sion medicine have advanced with the development and application of artificial intelligence(AI),leading to diverse innovations in the field of surgery.Digital technology has also facilitated new approaches in precision medicine,enabling the precise localization of lesions before sur-gery,real-time intraoperative navigation,and the establishment of predictive models for postoperative outcomes.These advancements have thus driven the comprehensive transformation of surgical practice toward greater personalization,precision,and intelligence.This study provides a comprehensive review of the application of digital technologies in gastrointestinal tumor management,encompassing preoperat-ive planning,intraoperative navigation,and postoperative recovery.The evolution of digital technologies is described,and an in-depth sum-mary is provided of the development and clinical value of digital technology in gastrointestinal tumor surgery.Additionally,the study pro-poses future directions for digital medicine in this field.

Objective:To explore the clinical and pathological features and survival outcomes of patients with early-onset intrahepatic cholangiocarcinoma (EOICC).Methods:This is a multicenter, retrospective cohort study. Data of 1 160 intrahepatic cholangiocarcinoma patients undergoing radical resection in 14 tertiary Grade A hospitals in China from January 2010 to November 2021 were retrospectively collected. The cohort included 632 males and 528 females, aged( M (IQR)) 61 (14) years (range: 22 to 93 years). ICC aged ≤50 years at the time of diagnosis was defined as EOICC and >50 years as late-onset intrahepatic cholangiocarcinoma (LOICC). Of these, there were 247 cases in the EOICC group and 913 cases in the LOICC. The clinical and pathological characteristics of both groups were analyzed and compared using the independent sample t-test, Mann-Whitney U test or Kaplan-Meier method. Univariate and multivariate Cox regression models for patient outcomes were constructed and forest graphed. Results:Compared with the patients in the LOICC group, patients in the EOICC group had lower carcinoembryonic antigen levels (2.5(4.0) μg/L vs. 3.1(5.2)μg/L, U=124 899, P=0.009) and CA19-9 level (63.4(524.7)U/ml vs. 77.9(611.3)U/ml, U=120 320, P=0.013), higher levels of ALT (29(35)U/L vs. 24(26)U/L, U=101 214, P=0.013), a lower score of the Eastern US Cooperative Oncology Group (0 score patients: 54.7% vs. 44.1%, χ2=12.472, P=0.014), higher TNM stage ( χ2=11.807, P=0.038), and proportion of lymph node dissection (62.3% vs. 54.1%, χ2=5.355, P=0.021). Patients in the two groups in sex, first diagnosis symptoms, intrahepatic bile duct stone history, nail protein, albumin, total bilirubin, transaminase, liver function Child-Pugh grade, T stage, stage, N stage, preoperative laparoscopic exploration proportion, tumor diameter, vascular invasion proportion, differentiation, margin, intraoperative bleeding, postoperative complications, postoperative hospital days were no statistical significance (all P>0.05). Patients in the EOICC group had better outcomes than the LOICC group (median survival time: 29.7 months vs. 25.0 months, 3-year overall survival: 45.1% vs. 37.8%, P=0.027). Conclusion:EOICC patients are better than LOICC patients in carcinoembryonic antigen, CA19-9, ALT, physical strength status and TNM stage, and the long-term prognosis is also better than LOICC patients.