ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

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.

The digitization of traditional Chinese medicine (TCM) has generated vast amounts of data. However, these data are characterized by significant heterogeneity and complex semantic structures, posing substantial challenges for systematic integration and intelligent analysis, and limiting its potential for modern clinical and computational research. To address the challenges posed by the high heterogeneity and complex structure in TCM data, we designed and developed the TCM Data Hub platform, which is powered by the YiYuan large language models (LLMs). This platform aims to enhance intelligent data processing capabilities and unlock the potential for clinical application of TCM data through systematic integration and efficient utilization, thereby bridging the gap between traditional knowledge and modern computational research. This study first analyzed the heterogeneity and complexity of TCM information with respect to data types, structures, and semantics. A standardized data framework was constructed to enhance data integration and interoperability. Based on the TCM Intelligent Computing Platform of the China Academy of Chinese Medical Sciences, we trained the YiYuan LLMs to acquire domain-specific semantic understanding of TCM, thereby improving the platform’s comprehension of specialized terminology and knowledge systems. Leveraging the natural language processing capabilities of the LLMs, we developed a human-in-the-loop data processing system to enable efficient extraction, cleansing, and structured organization of TCM data. In addition, utilizing Vue and Java technologies, we developed multiple LLM-powered intelligent agents and systems, including a human-in-the-loop data processing system, as well as automated prescription mining and network pharmacology analysis agents. Task-specific agents tailored to TCM data processing were developed to enhance the model’s effectiveness in clinical knowledge discovery. System functionality and platform infrastructure were implemented using Java and Vue technologies.The TCM Data Hub platform has completed system construction and core functionality implementation. It supported integrated management and efficient access to 8 key types of TCM data: prescriptions, materia medica, ingredients, targets, diseases (Western medicine), diseases (TCM), syndromes, and therapeutic methods. The human-in-the-loop data processing system achieved an accuracy of 95.34% in structuring TCM data and supported annotation for data requiring manual labeling. The intelligent agent-driven big-data analytics module enabled 1-click, end-to-end workflows for TCM prescription mining, herb-syndrome association analysis, network pharmacology, and molecular biology research, completing a full data mining task in approximately 30 minutes. Users can interact with and manipulate data through a visual front-end interface. The system demonstrated stable performance, strong scalability, and a user-friendly experience. Empowered by the YiYuan LLMs, the TCM Data Hub platform significantly improves the accessibility, usability, and intelligence of TCM data. It effectively bridges traditional TCM knowledge with modern intelligent technologies, providing robust data support and intelligent tools for TCM research and clinical applications.

ObjectiveTo evaluate the clinical efficacy and safety of Xiaozhen Formula （消疹方） in preventing skin toxicity induced by epidermal growth factor receptor inhibitors （EGFRIs） in patients with EGFR-mutant non-small cell lung cancer （NSCLC）. MethodsA randomized， double-blind， placebo-controlled， multicenter clinical study was conducted. A total of 120 patients with EGFR-mutant NSCLC from seven centers were enrolled and randomly assigned to a treatment group （60 cases） or a control group （60 cases）. On the basis of EGFRI-targeted therapy， patients in the treatment group received Xiaozhen Formula granules， whereas those in the control group received Xiaozhen Formula placebo granules， both at 10 g twice daily for 4 consecutive weeks. The primary outcomes were the grading of skin toxicity evaluated using the National Cancer Institute Common Terminology Criteria for Adverse Events （NCI-CTCAE） version 5.0 and the incidence of rash. Secondary outcomes included the time to onset and time to resolution of the highest-grade rash， the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 （EORTC QLQ-C30） scores， the Hospital Anxiety and Depression Scale （HADS） scores， and disease control rate， together with safety assessments. ResultsBased on the full analysis set （FAS）， the incidence of skin toxicity in the treatment group was 18.33% （11/60）， significantly lower than 45.00% （27/60） in the control group （P＜0.01）， with the highest severity of skin toxicity in both groups was grade 2. Among patients who developed rash， the resolution rate in the treatment group was 90.91% （10/11）， higher than that 33.33% （9/27） in the control group. The median time to resolution was 15 days （95%CI： 8-17 days） in the treatment group and it was not reached in the control group； the distribution of time to resolution differed significantly between groups （P＜0.001）. After treatment， the treatment group had higher EORTC QLQ-C30 functional scale and global health status/quality-of-life scores， and lower symptom scale， single-item scores， as well as HADS-A， and HADS-D scores than the control group （P＜0.05）. In the FAS analysis， the disease control rate （DCR） was 85.0% （51/60） in the treatment group， lower than 100.0% （60/60） in the control group （P=0.003）， whereas no significant between-group difference was observed in the per-protocol set （PPS） analysis （P=0.464）. The incidence of adverse events did not differ significantly between the two groups （P＞0.05）， and no definite safety signals related to the investigational drug were observed. ConclusionXiaozhen Formula can reduce the incidence of EGFRI-induced skin toxicity， and improve the outcome of rash regression， the patients' quality of life and psychological status in EGFR-mutant NSCLC patients.

ObjectiveTo investigate the application of central auditory testing combined with electroencephalographic features in the early screening of mild cognitive impairment due to Alzheimer's disease. MethodsA convenience sampling method was used to conduct a field survey in the Qixia District of Nanjing City, Jiangsu Province, from July to September, 2025. A total of 40 older adults diagnosed as mild cognitive impairment due to Alzheimer's disease and 23 cognitively normal older adults were recruited. Auditory N-back and dichotic listening paradigms were employed for assessment, while the scores of Montreal Cognitive Assessment Beijing Version (MoCA-BJ) and 32-channel electroencephalogram (EEG) data were simultaneously collected. Binary logistic regression analysis was applied to identify predictive indicators, receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated. ResultsThe total score of dichotic listening was positively correlated with overall cognitive function (r = 0.475, P < 0.01), while right-ear advantage showed negative correlations with overall cognition, visuospatial ability, abstract reasoning, and delayed recall (r < -0.276, P < 0.05). Task performance across all conditions of the N-back task was positively correlated with overall cognitive function (r > 0.249, P < 0.05). Regarding EEG features, δ and θ band power and power peaks were positively correlated with delayed recall (r > 0.258, P < 0.05), whereas (α+θ)/(α+β) and θ/(α+β) were positively correlated with naming ability and visuospatial executive function, respectively (r > 0.261, P < 0.05). The results of the binary logistic regression analysis showed that the total score of binaural dichotic listening, the accuracy of 1-back task, the average power of δ waves, and the ratio of θ/(α+β) were independent influencing factors for mild cognitive impairment due to Alzheimer's disease (P < 0.05). The ROC analysis indicated that the AUC for auditory task performance and EEG features were 0.845 and 0.735 respectively, and when combined, the AUC increased to 0.862. ConclusionThe screening model based on the integration of auditory task performance and EEG features can be used in the early identification of mild cognitive impairment due to Alzheimer's disease.

ObjectiveTo investigate the mechanism by which Xianglian Huazhuo prescription （XLHZ） ameliorates chronic atrophic gastritis （CAG） through regulating glycolysis via the microRNA-34b-5p （miR-34b-5p）/6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 1 （PFKFB1） signaling pathway. MethodsBioinformatic screening was performed to identify the target genes of miR-34b-5p. In the animal experiments， a mouse model of CAG was established through a combination of N-methyl-N′-nitro-N-nitrosoguanidine （MNNG）， ranitidine， and irregular feeding. The mice were randomized into the following groups： normal， model， Morodan group （2 g·kg^-1）， and high-， medium-， and low-dose XLHZ groups（7.2，3.8，1.9 g·kg^-1）. In the cell experiments， GES-1 cells were treated with MNNG for the modeling of CAG and grouped as follows： GES-1， MNNG+GES-1， MNNG+GES-1+XLHZ（10%）， MNNG+GES-1+miR-34b-5p mimics， MNNG+GES-1+miR-34b-5p inhibitor， MNNG+GES-1+PFKFB1 inhibitor， and MNNG+GES-1+PFKFB1 mimics+XLHZ（10%）. The general conditions of mice were observed. Real-time PCR was adopted to measure the expression levels of miRNA-34b-5p and PFKFB1 mRNA in the gastric mucosa of mice in each group. Dual luciferase reporter gene was used to verify the targeting interaction between miR-34b-5p and PFKFB1 in GES-1 cells exposed to MNNG. The cell-counting kit-8 （CCK-8） was used to screen the drug-containing serum concentration. Real-time PCR was employed to verify the transfection efficiency. Fluorescent probes were used to detect the expression and nuclear translocation of hypoxia-inducible factor-1α （HIF-1α） in each group of cells. The protein levels of HIF-1α， hexokinase 2 （HK2）， PFKFB1， phosphofructokinase 1 （PFK1）， and lactate dehydrogenase （LDHA） in the gastric mucosa of mice were determined by Western blot. The levels of glucose consumption and lactate in the serum and cells were measured by biochemical methods. Enzyme-linked immunosorbent assay （ELISA） was adopted to measure the content of adenosine triphosphate （ATP） in the gastric mucosa tissue and cells. ResultsThe animal experiments showed that compared with the normal group， the model group exhibited symptoms including mental fatigue， lethargy， sparse and dull fur， a tendency to curl up， sluggish responses， reduced food and water intake， and slow body weight gain. In addition， the model group showed decreased expression of miRNA-34b-5p （P<0.01）， increased mRNA level of PFKFB1 （P<0.01）， upregulated protein levels of HIF-1α， HK2， PFKFB1， PFK1， and LDHA （P<0.01）， and increased glucose consumption， lactate content， and ATP content （P<0.01）. Compared with the model group， the XLHZ group and Morodan group showed improved mental state， gradually improved fur， increased activity， food and water intake， and body weight. HE showed that each treatment group exhibited well arranged and increased gastric mucosal glands， reduced inflammatory cells， and recovered gastric pits. Transmission electron microscopy showed that the size of mitochondria in each treatment group returned to normal， with no obvious irregular shape， complete and clear cristae， and uniform matrix. Furthermore， each treatment group showed increased expression of miRNA-34b-5p （P<0.05）， reduced mRNA level of PFKFB1 （P<0.05）， downregulated protein levels of HIF-1α， HK2， PFKFB1， PFK1， and LDHA （P<0.05）， and decreased glucose consumption， lactic acid， and ATP （P<0.05）. The cell experiments showed that the expression and nuclear translocation of HIF-1α were reduced in all groups after treatment （P<0.05）. The cell transfection efficiency was satisfactory （P<0.05）. miR-34b-5p exhibited an effect comparable to that of XLHZ， effectively inhibiting glycolysis， whereas PFKFB1 promoted glycolysis and reversed the protective effect of XLHZ in CAG mice （P<0.05）. ConclusionXLHZ could regulate the miR-34b-5p/PFKFB1 axis to inhibit glycolysis， thereby ameliorating MNNG-induced gastric mucosal atrophy.

ObjectiveTo investigate the mechanism by which Xianglian Huazhuo prescription （XLHZ） ameliorates chronic atrophic gastritis （CAG） through regulating glycolysis via the microRNA-34b-5p （miR-34b-5p）/6-phosphofructo-2-kinase/fructose-2，6-bisphosphatase 1 （PFKFB1） signaling pathway. MethodsBioinformatic screening was performed to identify the target genes of miR-34b-5p. In the animal experiments， a mouse model of CAG was established through a combination of N-methyl-N′-nitro-N-nitrosoguanidine （MNNG）， ranitidine， and irregular feeding. The mice were randomized into the following groups： normal， model， Morodan group （2 g·kg^-1）， and high-， medium-， and low-dose XLHZ groups（7.2，3.8，1.9 g·kg^-1）. In the cell experiments， GES-1 cells were treated with MNNG for the modeling of CAG and grouped as follows： GES-1， MNNG+GES-1， MNNG+GES-1+XLHZ（10%）， MNNG+GES-1+miR-34b-5p mimics， MNNG+GES-1+miR-34b-5p inhibitor， MNNG+GES-1+PFKFB1 inhibitor， and MNNG+GES-1+PFKFB1 mimics+XLHZ（10%）. The general conditions of mice were observed. Real-time PCR was adopted to measure the expression levels of miRNA-34b-5p and PFKFB1 mRNA in the gastric mucosa of mice in each group. Dual luciferase reporter gene was used to verify the targeting interaction between miR-34b-5p and PFKFB1 in GES-1 cells exposed to MNNG. The cell-counting kit-8 （CCK-8） was used to screen the drug-containing serum concentration. Real-time PCR was employed to verify the transfection efficiency. Fluorescent probes were used to detect the expression and nuclear translocation of hypoxia-inducible factor-1α （HIF-1α） in each group of cells. The protein levels of HIF-1α， hexokinase 2 （HK2）， PFKFB1， phosphofructokinase 1 （PFK1）， and lactate dehydrogenase （LDHA） in the gastric mucosa of mice were determined by Western blot. The levels of glucose consumption and lactate in the serum and cells were measured by biochemical methods. Enzyme-linked immunosorbent assay （ELISA） was adopted to measure the content of adenosine triphosphate （ATP） in the gastric mucosa tissue and cells. ResultsThe animal experiments showed that compared with the normal group， the model group exhibited symptoms including mental fatigue， lethargy， sparse and dull fur， a tendency to curl up， sluggish responses， reduced food and water intake， and slow body weight gain. In addition， the model group showed decreased expression of miRNA-34b-5p （P<0.01）， increased mRNA level of PFKFB1 （P<0.01）， upregulated protein levels of HIF-1α， HK2， PFKFB1， PFK1， and LDHA （P<0.01）， and increased glucose consumption， lactate content， and ATP content （P<0.01）. Compared with the model group， the XLHZ group and Morodan group showed improved mental state， gradually improved fur， increased activity， food and water intake， and body weight. HE showed that each treatment group exhibited well arranged and increased gastric mucosal glands， reduced inflammatory cells， and recovered gastric pits. Transmission electron microscopy showed that the size of mitochondria in each treatment group returned to normal， with no obvious irregular shape， complete and clear cristae， and uniform matrix. Furthermore， each treatment group showed increased expression of miRNA-34b-5p （P<0.05）， reduced mRNA level of PFKFB1 （P<0.05）， downregulated protein levels of HIF-1α， HK2， PFKFB1， PFK1， and LDHA （P<0.05）， and decreased glucose consumption， lactic acid， and ATP （P<0.05）. The cell experiments showed that the expression and nuclear translocation of HIF-1α were reduced in all groups after treatment （P<0.05）. The cell transfection efficiency was satisfactory （P<0.05）. miR-34b-5p exhibited an effect comparable to that of XLHZ， effectively inhibiting glycolysis， whereas PFKFB1 promoted glycolysis and reversed the protective effect of XLHZ in CAG mice （P<0.05）. ConclusionXLHZ could regulate the miR-34b-5p/PFKFB1 axis to inhibit glycolysis， thereby ameliorating MNNG-induced gastric mucosal atrophy.

Objective:To explore the clinical efficacy of laparoscopic left hemi-fundoplica-tion for gastroesophageal reflux disease (GERD).Method:The retrospective and descriptive study was conducted. The clinical data of 45 patients with GERD who were admitted to Hebei Provincial Hospital of Traditional Chinese Medicine from July 2019 to July 2022 were collected. There were 26 males and 19 females, aged (46±12) years. All patients underwent laparoscopic left hemi-fundoplication. Observation indicators: (1) intraoperative and postoperative conditions; (2) follow-up. Measurement data with normal distribution were expressed as Mean± SD. Count data were expressed as absolute numbers. The paired samples t-test was used for comparison of indicators before and after surgery. Result:(1) Intraoperative and postoperative conditions. All 45 patients successfully underwent the operation, with no conversion to open surgery or intraoperative complications. The operation time was (86±8)minutes, volume of intraoperative blood loss was (12±3)mL, and time to postoperative first flatus was (2.2±0.8)days. Among the 45 patients after surgery, 4 cases had fever, 3 cases had retrosternal dull pain and discomfort, 4 cases had dysphagia, 3 cases had abdominal distension, and 5 cases had constipation. All these symptoms were cured or relieved spontaneously after sympto-matic treatment. The duration of postoperative hospital stay was (3.5±0.5)days. There was no patient with infection, delayed bleeding or perforation.(2) Follow-up. All 45 patients were followed up for 1 year after surgery, with no recurrence of GERD. Gastroscopy showed no esophageal mucosal damage such as erosion or ulcer, and no hiatal hernia occurred. Before surgery, the reflux symptom index score, GERD questionnaire score, reflux disease questionnaire score, lower esophageal sphincter resting pressure, and DeMeester score of 24-hour esophageal pH monitoring were 24.3±1.9, 12.5±2.1,20.1±4.5, (7.1±1.1)mmHg (1 mmHg=0.133 kPa), and 31.4±6.4, respectively. At 1 year after surgery, the above indicators were 2.2±0.7, 6.5±0.5, 4.0±2.6, (23.2±2.9)mmHg, and 6.0±1.4, respectively. There were significant differences before and after surgery ( t=80.75, 18.70,20.09, -33.45, 26.15, P<0.05). Conclusion:Laparoscopic left hemi-fundoplication is safe and feasible for GERD, which can improve the clinical symptoms of patients.

Objective To explore the quantitative electroencephalography(qEEG)characteristics of the prefrontal cortex in patients with mild cognitive impairment(MCI)during digital screening tasks for MCI screening.Methods A total of 592 MCI patients(MCI group)and 317 normal cognitively elderly individuals(control group)were recruited from 40 communities in Nanjing,Jiangsu Province,from July to August,2024.All participants were as-sessed using Montreal Cognitive Assessment-Beijing Version(MoCA-BJ).Prefrontal EEG data were collected using a portable EEG device,and power spectral analysis was performed via Fast Fourier Transform.An XG-Boost algorithm was employed to construct an MCI identification model based on qEEG power features,and the model's performance was evaluated using receiver operating characteristic(ROC)curve.Results Compared with the control group,prefrontal δ,α,and β band power increased during screening tasks in MCI group(P<0.05);δ power was negatively correlated with MoCA-BJ total scores,and visuospatial/executive func-tion,attention and delayed recall scores(r=-0.269,-0.169,-0.133,-0.171,P<0.001);α power was negative-ly correlated with MoCA-BJ total scores,attention and delayed recall scores(r=-0.113,-0.075,-0.091,P<0.05).The XGBoost model based on δ and α power was excellent in MCI identification,with an area under the curve of 0.91,accuracy of 0.81,precision of 0.89,F1 score of 0.84,recall of 0.80,and specificity of 0.81.Conclusion MCI patients exhibit increased power in the prefrontal δ and α frequency bands during digital screening tasks,which is associated with cognitive decline.An XGBoost model based on qEEG power features can enable early prediction of MCI.