Chronic atrophic gastritis （CAG） is a digestive system disease characterized by the reduction and atrophy of the intrinsic glands of the gastric mucosa. This disease is closely related to risk factors such as Helicobacter pylori （Hp） infection，long-term unhealthy eating habits and lifestyle. As CAG is a key link in the development of gastric cancer，effectively preventing its deterioration is of great significance for the prevention of gastric cancer. At present，Western medicine mainly uses symptomatic treatments such as eradicating Hp，protecting gastric mucosa， and promoting gastrointestinal motility. However， long-term use is prone to drug resistance and cannot reverse limitations such as gland atrophy， making it urgent to explore new intervention strategies. In recent years，with the deepening of CAG mechanism research，the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway，as one of the classic signaling pathways，plays a significant role in the occurrence and development of CAG，while its systematic summary is still blank. Based on the regulatory advantages of "multi-target，multi-pathway，and low toxicity"，traditional Chinese medicine can improve the pathological process of CAG by intervening in key nodes of the PI3K/Akt pathway. In this paper，the research progress of traditional Chinese medicine regulating PI3K/Akt pathway to improve CAG was systematically reviewed for the first time. The expression of PI3K/Akt signaling pathway in CAG was discussed，including the regulation of inflammation and oxidative stress，cell proliferation and apoptosis，and autophagy. The traditional Chinese medicine flavonoids，alkaloids，terpenoids and other compounds that regulate this pathway were summarized. The traditional Chinese medicine compounds mainly include classic famous prescriptions such as Xiaochaihu Tang，Banxia Xiexin Tang，Morodan concentrated pills，Elian granules and other traditional Chinese patent medicines，as well as empirical prescriptions such as modified Leweiyin formula，and Qiling prescription. This study aims to give full play to the advantages of traditional Chinese medicine and lay a solid foundation for the wide application and further development of CAG treatment，and provide new ideas for clinical research and drug research on CAG.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

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.

After continuous development and improvement, lung transplantation has become the preferred means to treat a variety of benign end-stage lung diseases. However, the field of lung transplantation still faces many challenges, including shortage of donor resources, preservation and maintenance of donor lungs, and postoperative complications. Lung tissue samples removed after lung transplantation are excellent clinical resources for the study of benign end-stage lung disease and perioperative complications of lung transplantation. However, at present, the collection, storage and utilization of tissue samples after lung transplantation are limited to a single study, and unified technical specifications have not been formed. Based on the construction plan of the biobank for lung transplantation in the First Affiliated Hospital of Xi'an Jiaotong University, this study reviewed the practical experience in the collection, storage and utilization of lung transplant tissue samples in the aspects of ethical review, staffing, collection process, storage method, quality control and efficient utilization, in order to provide references for lung transplant related research.

Endometriosis （EMT） is a common disease with frequent occurrence and difficult to be cured in modern clinical practice of obstetrics and gynaecology. It is characterized by progressively worsening dysmenorrhoea， pelvic mass， and infertility. The incidence of EMT is growing and increasingly younger patients are diagnosed with this disease， which poses a serious threat to the reproductive and psychological health of women of childbearing age and adolescent females. However， the pathogenesis of EMT is still not completely clear， and the disease has a long course. Therefore， developing new therapies is an urgent clinical problem to be solved. Great progress has been achieved in the treatment of EMT with traditional Chinese medicine （TCM）， while the underlying mechanism remains in exploration. Programmed cell death （PCD） is a cell death mode mediated by a variety of bio-molecules with specific signaling cascades. The known PCD processes include apoptosis， pyroptosis， autophagy， ferroptosis， and cuproptosis， which all play a pivotal role in the development of EMT. Researchers have made achievements in the treatment of EMT with TCM， which regulates PCD via multiple pathways， routes， targets， and mechanisms. However， the progress in the regulation of PCD in the treatment of EMT with TCM remains to be reviewed. This paper reviews the research progress in the treatment of EMT with TCM from five PCD processes （apoptosis， pyroptosis， autophagy， ferroptosis， and cuproptosis）， with the aim of providing a theoretical basis for the clinical prevention and treatment of EMT.

Non-alcoholic fatty liver disease （NAFLD） is a chronic liver disease closely related to metabolism， which is mainly characterized by abnormal lipid deposition in hepatocytes. In recent years， with the increasing prevalence of obesity and metabolic syndrome， NAFLD has become one of the most common chronic diseases in the world. The pathogenesis of NAFLD is complex and varied， involving the cross-regulation of multiple signaling pathways such as glucose-lipid metabolism， oxidative stress， and inflammation. The TLR4 signaling pathway plays a key role in the development and progression of NAFLD， and abnormal activation of this pathway accelerates the deterioration of NAFLD by promoting the release of pro-inflammatory cytokines， inducing oxidative stress， and exacerbating insulin resistance. Studies have shown that traditional Chinese medicine （TCM） can regulate the TLR4 signaling pathway to alleviate the symptoms and pathological features of NAFLD. The present review summarizes the experimental research progress in the TCM regulation of the TLR4 signaling pathway in treating NAFLD in the past 5 years， covering a wide range of TCM active ingredients （such as polysaccharides， terpenoids， alkaloids， flavonoids） and compound prescriptions. The active ingredients and compound prescriptions of TCM can effectively ameliorate lipid metabolism disorders， reduce insulin resistance， regulate intestinal flora， and inhibit inflammation and oxidative stress by regulating the TLR4 signaling pathway via multiple targets and pathways， thus slowing down the progression of NAFLD. Through in-depth analysis of the pathological mechanisms of NAFLD and exploration of the potential of TLR4 signaling pathway as a therapeutic target， we can provide theoretical support for the application of TCM in the treatment of NAFLD， as well as new perspectives and directions for future clinical research and new drug development， thereby promoting the innovation and development of therapeutic strategies for NAFLD.

By aggregating the essence of theories related with depressive syndrome from historical medical practitioners and based on the extensive clinical experience,traditional Chinese medicine(TCM)master Lin Yi proposed the theory of six-stagnation-based breast disease prevention and treatment.She pointed out that the occurrence of breast diseases is related to six stagnations(qi stagnancy,blood stagnancy,phlegm stagnancy,dampness stagnancy,food stagnancy,and fire stagnancy),and the treatment for breast diseases should start from the six stagnations.The development and progression of breast cancer is closely associated with the imbalance of internal environment and the formation of six stagnations,and breast cancer is one of the major diseases suitable for the TCM syndrome differentiation and treatment.For the treatment of early breast cancer,Professor Lin Yi proposed to divide early breast cancer into four stages,namely perioperative period,peri-chemotherapy period,peri-radiotherapy period,and consolidation period.Guided by the theory of six-stagnation-based breast disease prevention and treatment,therapies of soothing the liver,resolving phlegm,removing stasis,clearing heat,eliminating dampness,promoting digestion,fortifying the spleen,and tonifying the kidney are employed to harmonize the internal environment and alleviate symptoms.The theory of six-stagnation-based breast disease prevention and treatment enriches the TCM theory for the prevention and treatment of breast cancer,refines the principles and methods for the staging and syndrome differentiation of early breast cancer,and holds significant implications for enhancing the efficacy of integrated TCM and western medicine in managing early breast cancer.

Occupational pneumoconiosis remains the most common occupational disease in China, with occupational mineral dust exposure being its primary causative factor. Although national standards for online monitoring and early warning systems of coal mine dust concentrations have been established, national occupational health standards for rapid and online monitoring of dust concentration and particle size distribution in other industries are still limited. Among dust concentration sensor technologies, the light scattering method is the preferred choice for online dust monitoring owing to its wide measurement range and low cost. The beta-ray absorption method is mature but highly sensitive to humidity. The electrostatic induction method offers high sensitivity, simple structure, and low maintenance costs but exhibits high errors in low-concentration dust monitoring. The tapered element oscillating microbalance method is highly sensitive but costly. Multi-sensor data fusion technology can improve monitoring reliability, however, mature domestic products are not yet available. For monitoring dust particle size distribution, sieving and sedimentation methods are cumbersome. The aerodynamic method shows broad prospects in the online monitoring of respirable dust but has obvious measurement errors for larger dust particles. The use of optical measurement method is limited by dust morphology and is not suitable for monitoring coal dust particle size distribution. The electrical mobility method is primarily applicable to submicron dust. Future research should focus on promoting the application of monitoring technology for respirable dust particle size distribution in online monitoring of industrial dust. By integrating Internet of Things, data mining, and artificial intelligence technologies, along with multi-sensor data fusion and numerical simulation, dust concentration prediction models can be established to achieve accurate dust concentration monitoring and early warning of exceedances. The advancements of technologies will provide scientific support for the assessment of industrial dust hazards and the prevention and control of occupational pneumoconiosis.

Objective:To systematically evaluate the fairness of traditional Chinese medicine (TCM) healthcare resource allocation at the prefecture-level in China using the healthcare resource agglomeration degree (HRAD) method, so as to provide empirical evidence for optimizing resource distribution.Methods:Data on TCM healthcare resources (including the number of TCM institutions, public TCM hospitals, TCM hospital beds, and TCM healthcare technicians) were collected from 333 prefecture-level regions in 2023. The HRAD method was employed to assess fairness in geographic allocation (HRAD i) and population-based allocation (HRAD i/PAD i). A multi-indicator comprehensive evaluation was conducted using the entropy weight method to determine weighting coefficients. Results:Significant disparities were observed in the geographic agglomeration of TCM resources (HRAD i) in China. Resource-rich regions (HRAD i>5) were primarily concentrated in eastern and some central-western provinces, while resource-scarce regions (HRAD i<1) were mainly distributed in western, northeastern, and parts of central and eastern provinces. Analysis of population-based fairness (HRAD i/PAD i) revealed that most prefecture-level cities nationwide had ratios<1, with only 8 provinces having more cities with ratios>1 than<1. The comprehensive evaluation showed that top-ranked cities in the east (e.g., Hangzhou, Dongying, Shenzhen), central region (e.g., Taiyuan, Zhengzhou), and west (e.g., Hainan Prefecture, Alxa League) were predominantly core cities or sparsely populated areas. Conclusions:China′s prefecture-level TCM healthcare resource allocation exhibits significant geographic and population-based inequities, with excessive concentration in provincial capitals and developed cities. Urgent strategies are needed to optimize resource allocation, enhance fairness and accessibility, including promoting the decentralization of high-quality resources, strengthening regional collaborative support, enhancing talent attraction in underdeveloped areas, and leveraging information technology to improve efficiency.