ObjectiveTo explore the possible mechanism of Tongbian Decoction （通便汤， TD） in treating slow transit constipation （STC）. MethodsTwenty-four SD rats were randomly divided into normal group， model group， TD group， and mosapride group， with 6 rats per group. Except for the normal group， STC models were established by intragastric administration of loperamide hydrochloride combined with normal saline. On the day following successful model establishment， rats in the TD group received 18.63 g·kg⁻¹ of TD by gavage， while those in the mosapride group received 1.605 mg·d⁻¹ of mosapride， and those in the normal group and the model group received 10 ml·kg⁻¹ of normal saline by gavage. All treatments were administered once daily for 7 consecutive days. Twenty-four hours after the last administration， fecal pellet number and fecal water content were measured. After intragastric administration of a 10% activated charcoal suspension， the small intestinal transit rate was calculated 30 minutes later. Serum levels of gastrin （GAS） and motilin （MTL） were measured by ELISA. Colonic histopathology was observed by HE staining， and mucus secretion by Alcian blue-periodic acid-Schiff （AB-PAS） staining. Ultrastructure of colon tissue was examined using transmission electron microscopy. Protein expression levels of C-kit， stem cell factor （SCF）， autophagy-related protein 5 （ATG5）， Beclin1， vesicle-associated membrane protein B （VAPB）， and protein tyrosine phosphatase interacting protein 51 （VAPB-PTPIP51） were measured by Western Blot， and the mRNA levels were detected by real-time PCR. Immunohistochemistry was used to detect SCF， C-kit， Beclin1， and ATG5 expression. The calcium content in colon tissue was determined by ELISA. ResultsCompared to the normal group， rats in the model group showed significantly reduced fecal pellet number， fecal water content， small intestinal transit rate， and serum GAS and MTL levels （P＜0.01）； the number of goblet cells decreased， and the mucosal and muscular layers of the colon became thinner； mRNA and protein expression levels of ATG5 and Beclin1 in colon tissue significantly increased， while calcium content decreased （P＜0.05 or P＜0.01）； and electron microscopy revealed vacuolar degeneration and increased autophagosomes in colonic cells. Compared to the model group， both TD group and mosapride group showed increased fecal pellet number， fecal water content， small intestinal transit rate， serum GAS and MTL levels， and colonic calcium content， along with decreased Beclin1 and ATG5 protein levels （P＜0.05 or P＜0.01）； the mucosal thickness and goblet cell number increased significantly， and autophagosomes decreased； in the TD group， ATG5 and Beclin1 mRNA levels decreased； in the mosapride group， SCF， VAPB， and PTPIP51 mRNA levels increased， while Beclin1 mRNA decreased （P＜0.05 or P＜0.01）. Compared to the mosapride group， the TD group showed higher fecal pellet number， fecal water content， serum GAS levels， colonic calcium content， and C-kit expression， along with lower ATG5 and Beclin1 levels （P＜0.05 or P＜0.01）. ConclusionTD may improve constipation symptoms by upregulating the VAPB-PTPIP51 complex during mitochondria-endoplasmic reticulum interactions， reducing autophagy of interstitial cells of Cajal， and promoting intestinal motility.

ObjectiveTo explore the possible mechanism of Tongbian Decoction （通便汤， TD） in treating slow transit constipation （STC）. MethodsTwenty-four SD rats were randomly divided into normal group， model group， TD group， and mosapride group， with 6 rats per group. Except for the normal group， STC models were established by intragastric administration of loperamide hydrochloride combined with normal saline. On the day following successful model establishment， rats in the TD group received 18.63 g·kg⁻¹ of TD by gavage， while those in the mosapride group received 1.605 mg·d⁻¹ of mosapride， and those in the normal group and the model group received 10 ml·kg⁻¹ of normal saline by gavage. All treatments were administered once daily for 7 consecutive days. Twenty-four hours after the last administration， fecal pellet number and fecal water content were measured. After intragastric administration of a 10% activated charcoal suspension， the small intestinal transit rate was calculated 30 minutes later. Serum levels of gastrin （GAS） and motilin （MTL） were measured by ELISA. Colonic histopathology was observed by HE staining， and mucus secretion by Alcian blue-periodic acid-Schiff （AB-PAS） staining. Ultrastructure of colon tissue was examined using transmission electron microscopy. Protein expression levels of C-kit， stem cell factor （SCF）， autophagy-related protein 5 （ATG5）， Beclin1， vesicle-associated membrane protein B （VAPB）， and protein tyrosine phosphatase interacting protein 51 （VAPB-PTPIP51） were measured by Western Blot， and the mRNA levels were detected by real-time PCR. Immunohistochemistry was used to detect SCF， C-kit， Beclin1， and ATG5 expression. The calcium content in colon tissue was determined by ELISA. ResultsCompared to the normal group， rats in the model group showed significantly reduced fecal pellet number， fecal water content， small intestinal transit rate， and serum GAS and MTL levels （P＜0.01）； the number of goblet cells decreased， and the mucosal and muscular layers of the colon became thinner； mRNA and protein expression levels of ATG5 and Beclin1 in colon tissue significantly increased， while calcium content decreased （P＜0.05 or P＜0.01）； and electron microscopy revealed vacuolar degeneration and increased autophagosomes in colonic cells. Compared to the model group， both TD group and mosapride group showed increased fecal pellet number， fecal water content， small intestinal transit rate， serum GAS and MTL levels， and colonic calcium content， along with decreased Beclin1 and ATG5 protein levels （P＜0.05 or P＜0.01）； the mucosal thickness and goblet cell number increased significantly， and autophagosomes decreased； in the TD group， ATG5 and Beclin1 mRNA levels decreased； in the mosapride group， SCF， VAPB， and PTPIP51 mRNA levels increased， while Beclin1 mRNA decreased （P＜0.05 or P＜0.01）. Compared to the mosapride group， the TD group showed higher fecal pellet number， fecal water content， serum GAS levels， colonic calcium content， and C-kit expression， along with lower ATG5 and Beclin1 levels （P＜0.05 or P＜0.01）. ConclusionTD may improve constipation symptoms by upregulating the VAPB-PTPIP51 complex during mitochondria-endoplasmic reticulum interactions， reducing autophagy of interstitial cells of Cajal， and promoting intestinal motility.

AIM: To detect the distribution and expression of vascular endothelial growth factor(VEGF)in radiation retinopathy(RR)through fluorescence targeted imaging.METHODS:Covalent binding of fluorescein FITC with VEGF antibody ranibizumab to prepare targeted fluorescent imaging probe ranibizumab-FITC. SD rats were randomly divided into three groups based on the principle of weight balance: a normal control group(Con group), a low-dose radiation group(10 Gy group), and a high-dose radiation group(30 Gy group). Medical linear accelerators and lead blocks were used to locally irradiate the rat eyeballs for modeling. Western blot and qRT-PCR were used to detect the expression levels of VEGF-A in each group and to screen for appropriate modeling dose. The inverted fluorescence microscope and the confocal microscope were used to observe the distribution of VEGF and imaging probes in the retinas of control and RR model group rats, and to verify the effectiveness of targeted probes.RESULTS:The expression level of VEGF-A in the retina of rats in the high-dose radiation group(30 Gy group)was higher than that in the normal control group(Con group). In early RR, VEGF expression was observed to be associated with microaneurysms and abnormal microvessels in the retina. VEGF accumulation was observed at the site of capillary wall damage. When retinal capillary endothelial damage occurred, targeted probes gathered on the outer surface of the vessel wall.CONCLUSION:The expression level of VEGF in the retina of RR model rats is elevated, and fluorescent targeted molecular imaging probes can detect the spatial distribution of VEGF at the microvascular lesions in the retina of RR rats.

Objective To analyze the trends in the disease burden of tracheal, bronchus, and lung cancer (TBL) in China and in low-, middle-, and high-socio-demographic index (SDI) countries and regions from 1990 to 2021, with the aim of providing evidence for the formulation of targeted prevention and control strategies. Methods Utilizing data from the Global Burden of Disease (GBD) Study 2021, we extracted TBL-related data from 1990 to 2021, stratified by sex, age group, and year. We assessed the disease burden and trends of TBL across different groups, conducted a decomposition analysis to identify the leading contributors to the change in disease burden, and examined the relationship between disability-adjusted life years (DALYs) and SDI. Results In 2021, the overall burden of TBL in China was substantially higher than that in other groups. The fold-increase in the number of prevalent cases, deaths, and DALYs was significantly greater in China. Moreover, the growth rates of the age-standardized prevalence rate (ASPR), age-standardized mortality rate (ASMR), and age-standardized DALYs rate (ASDR) in China were higher than the overall levels in other SDI countries. In all groups, the ASPR of TBL generally followed a pattern of increasing and then decreasing with age; however, for males in China and middle-SDI countries, the ASPR exhibited a decline in the 80-84 age group. Decomposition analysis revealed that the primary drivers of the increasing TBL burden varied among groups: the rise in DALYs in China and middle-SDI countries was mainly driven by population aging, in low-SDI countries by population growth, and in high-SDI countries by epidemiological transition. While global health inequality in TBL showed some improvement, low-SDI countries continued to bear a disproportionately heavy health burden. Conclusion The disease burden of TBL in China has progressively increased from 1990 to 2021, now ranking among the highest globally. Multiple factors, predominantly driven by population aging, are exacerbating this burden. The burden of TBL is influenced by advancing age, sex differences, and SDI levels. China, along with low- and middle-SDI countries, should implement targeted intervention strategies based on epidemiological findings, including expanding investment in public health services and strengthening healthcare systems, to mitigate the growing burden of TBL.

Objective To investigate the expression profile, prognostic value, gene co-expression network, and immunomodulatory role of BRF1 in a pan-cancer context, and to explore its biological functions and molecular regulatory mechanisms in esophageal squamous cell carcinoma (ESCC). Methods The pan-cancer dataset from The Cancer Genome Atlas (TCGA) was utilized to analyze the differential expression of BRF1 in tumor versus normal tissues, its association with patient survival, pathway enrichment for co-expressed genes, and immune features (including immune checkpoints, cytokines, and immune cell infiltration). The expression profile of BRF1 in ESCC was validated using the Gene Expression Omnibus (GEO) database. In vitro, BRF1 was knocked down in ESCC cells using siRNA. Cell proliferation and migration were assessed by MTT and Transwell assays, respectively. The expression levels of proliferation- and migration-related proteins were detected by Western blotting. The correlation between BRF1 and ferroptosis was analyzed using TCGA data. Results BRF1 was significantly upregulated in over 20 types of cancer, and its high expression was associated with poor prognosis in patients with adrenocortical carcinoma and prostate adenocarcinoma. BRF1 was found to positively regulate the T-cell-mediated cell death pathway in esophageal adenocarcinoma and was associated with the circadian rhythm regulation pathway in pancreatic adenocarcinoma. The correlation of BRF1 with immune checkpoints, cytokine networks, and immune cell infiltration was found to be cancer type-specific. In vitro experiments demonstrated that knocking down BRF1 significantly inhibited the proliferation of ESCC cells, accompanied by the downregulation of the proliferation marker PCNA. Cell migration was also significantly impaired, with decreased expression of Vimentin and MMPs and increased expression of E-cadherin. Furthermore, the expression of BRF1 was positively correlated with that of ferroptosis-antagonizing genes, such as GPX4, HSPA5, and SLC7A11. Conclusion BRF1 plays complex roles in pan-cancer, participating in the regulation of tumorigenesis, progression, and immune infiltration. BRF1 promotes the proliferation and migration of ESCC cells, a mechanism potentially associated with the regulation of ferroptosis resistance. These findings suggest that BRF1 could be a potential therapeutic target for ESCC.

ObjectiveTo investigate the distribution and characteristics of traditional Chinese medicine （TCM） syndromes in patients with colorectal cancer and metabolic dysfunction-associated fatty liver disease （CRC-MAFLD）， to explore the correlation between influencing factors and syndrome distribution， and to provide a reference for clinical syndrome differentiation. MethodsA total of 319 patients who were admitted to Shanxi Provincial Institute of Traditional Chinese Medicine and The Affiliated Hospital of Shanxi University of Chinese Medicine from January 2021 to December 2025 and were diagnosed with CRC-MAFLD based on pathology and radiological examination were enrolled as subjects， and TCM syndrome differentiation was performed for all subjects. A one-way analysis of variance or the Kruskal-Wallis H test was used for comparison of continuous data between multiple groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between multiple groups. The indicators with statistical significance in the univariate analysis were incorporated into the unordered multinomial Logistic regression model， and the syndrome of liver depression and spleen deficiency was set as the reference group to identify the independent influencing factors for each TCM syndrome. ResultsThe main clinical symptoms of CRC-MAFLD included fatigue （78.06%）， abdominal distension （64.26%）， poor appetite （61.13%）， loose stool （57.05%）， and costal pain （52.04%）. The syndrome of liver depression and spleen deficiency showed the highest distribution frequency， followed by intermingled phlegm and blood stasis， internal retention of dampness turbidity， damp-heat accumulation， deficiency of liver and kidney， and deficiency of spleen and kidney. Comparison between groups with different TCM syndromes showed significant differences in the distribution of body mass index （χ²=42.216， P<0.001）， the clinical stage of colorectal cancer （χ²=11.666， P=0.040）， liver metastasis （χ²=19.279， P=0.002）， degree of hepatic steatosis （χ²=71.085， P<0.001）， diabetes （χ²=12.486， P=0.029）， chemotherapy （χ²=21.920， P<0.001）， fasting plasma glucose （FPG） （F=10.367， P<0.001）， glycosylated hemoglobin （HbA1c） （F=3.696， P=0.003）， albumin （Alb） （F=3.302， P=0.006）， alkaline phosphatase （ALP） （H=34.350， P<0.001）， gamma-glutamyl transferase （GGT） （H=41.679， P<0.001）， and triglyceride （TG） （H=28.826， P<0.001）. An unordered multinomial Logistic regression model was constructed with the syndrome of liver depression and spleen deficiency as the reference， and the results showed that overweight/obesity was a common independent risk factor for intermingled phlegm and blood stasis （odds ratio ［OR］=4.468， P=0.002）， internal retention of dampness turbidity （OR=2.944， P=0.024）， and damp-heat accumulation （OR=5.651， P=0.001）； clinical stage Ⅳ was an independent risk factor for deficiency of liver and kidney （OR=6.746， P=0.003） and deficiency of spleen and kidney （OR=10.074， P=0.001）； presence of liver metastasis was an independent risk factor for intermingled phlegm and blood stasis （OR=5.145， P=0.001）； severe fatty liver disease was an independent risk factor for intermingled phlegm and blood stasis （OR=5.201， P=0.007） and internal retention of dampness turbidity （OR=7.412， P=0.001）， and moderate fatty liver disease was an independent risk factor for intermingled phlegm and blood stasis （OR=2.643， P=0.045）， internal retention of dampness turbidity （OR=3.182， P=0.029）， and damp-heat accumulation （OR=3.073， P=0.036）； diabetes was an independent risk factor for internal retention of dampness turbidity （OR=5.133， P=0.003） and damp-heat accumulation （OR=3.716， P=0.031）. As for continuous variables， elevated FPG was an independent risk factor for internal retention of dampness turbidity （OR=2.375， P=0.003） and damp-heat accumulation （OR=2.701， P=0.005）； elevated HbA1c was an independent risk factor for intermingled phlegm and blood stasis （OR=2.029， P=0.032） and deficiency of liver and kidney （OR=3.308， P=0.010）； elevated ALP was an independent risk factor for damp-heat accumulation （OR=1.053， P=0.019）； elevated GGT was an independent risk factor for intermingled phlegm and blood stasis （OR=1.029， P=0.026） and damp-heat accumulation （OR=1.030， P=0.047）； elevated TG was an independent risk factor for intermingled phlegm and blood stasis （OR=2.931， P=0.006） and internal retention of dampness turbidity （OR=2.449， P=0.019）； elevated Alb was a protective factor against deficiency of spleen and kidney （OR=0.756， P=0.005）. ConclusionBody mass index， the clinical stage of colorectal cancer， liver metastasis， degree of hepatic steatosis， diabetes， chemotherapy， FPG， HbA1c， Alb， ALP， GGT， and TG are the main influencing factors for TCM syndromes in CRC-MAFLD.

Objective To study the seasonal distribution characteristics of polycyclic aromatic hydrocarbons (PAHs) in PM_2.5 in Lianyungang City, and analyze the sources of PAHs pollution, and to evaluate the health risks of PAHs in different seasons. Methods PM2.5 samples were collected regularly from January 2019 to December 2023, and 16 types of PAHs were determined by HPLC. Kruskal-Wallis H test was used to compare the concentrations of PM2.5 and PAHs in different years and seasons. The source of PAHs was analyzed by characteristic ratio and principal component analysis (PCA). Health risks were assessed using the BaP equivalent method and the incremental lifetime cancer risk (ILCR) model. Results The annual exceedance rates of PM_2.5 and BaP in Lianyungang showed a decreasing trend from 2019 to 2023. PM_2.5, total PAHs and PAHs monomers (except Ace, Flu and Acy) all showed significant seasonal differences, with the highest concentration in winter (P<0.001). The average proportion of 4-ring PAHs was the highest and the average proportion of 2-ring PAHs was the lowest. The proportion of 5-6 ring PAHs was relatively high in winter and spring. PM2.5and PAHs were negatively correlated with temperature, relative humidity and precipitation, and were positively correlated with atmospheric pressure. PM_2.5 was negatively correlated with wind speed, while some PAHs monomers were positively correlated with wind speed. The characteristic ratio and PCA results showed that the main sources of PAHs in Lianyungang City were mixed sources of road dust and vehicle emissions, oil pollution sources and biomass combustion sources. The results of ILCR showed that the highest risk was found in adults, with males slightly higher than females. In Lianyungang, the maximum value of ILCR in winter was more than 10-6 in people over 9 years old. Conclusion The main sources of PAHs in PM_2.5 in Lianyungang City are mixed sources of road dust and vehicle emissions, oil pollution sources, and biomass combustion sources. Under the current exposure level of PAHs in PM_2.5, residents have a certain potential carcinogenic risk.

Objective To investigate the needs and gains of eight-year clinical medicine program students during their oncology internships,and provide reference for the reform of clinical teaching in oncology.Methods A ques-tionnaire survey was conducted among 52 students from Peking Union Medical College,Tsinghua University School of Medicine,and Peking Union Medical College"4+4"medical doctor program who underwent internships in the Department of Oncology at Peking Union Medical College from July 2023 to June 2024 in order to examine their basic knowledge of oncology,the courses they are interested in,their preference for teaching methods and the gains from the internships.The exam was conducted before and after the internship.Results All 52 students participated in the survey and examination.Most students were interested in clinical diagnosis and treatment,new drug develop-ment and progress in basic research.All students acknowledged that their ability to solve actual clinical problems had been improved after the internship in oncology,51(98.08%)recognized that their capacity of literature searching and reviewing,integrating the information and reasoning had improved,while 50(96.15%)believed that their capacity to read Computed Tomography(CT)images or perform imaging diagnosis had improved.The number of students who were interested in oncology increased from 41(78.85%)before the internship and up to 47(90.38%)after the training.The average score of the students before internship was 63.88±8.90,and then signif-icantly increased up to 82.94±9.12 afterwards.Conclusions Eight-year program students of clinical medicine are quite interested in oncology,their learning and training outcomes have been further improved through the clinical training during internship.

OBJECTIVE: To explore, identify, and develop novel blood-based indicators using machine learning algorithms for accurate preoperative assessment and effective prediction of postoperative complication risks in patients with rheumatoid arthritis (RA) undergoing total knee arthroplasty (TKA). METHODS: A retrospective cohort study was conducted including RA patients who underwent unilateral TKA between January 2019 and December 2024. Inpatient and 30-day postoperative outpatient follow-up data were collected. Six machine learning algorithms, including decision tree, random forest, logistic regression, support vector machine, extreme gradient boosting, and light gradient boosting machine, were used to construct predictive models. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), F1-score, accuracy, precision, and recall. SHapley Additive exPlanations (SHAP) values were employed to interpret and rank the importance of individual variables. RESULTS: According to the inclusion criteria, a total of 1 548 patients were enrolled. Ultimately, 18 preoperative indicators were identified as effective predictive features, and 8 postoperative complications were defined as prediction labels for inclusion in the study. Within 30 days after surgery, 453 patients (29.2%) developed one or more complications. Considering overall accuracy, precision, recall, and F1-score, the random forest model [AUC=0.930, 95% CI (0.910, 0.950)] and the extreme gradient boosting model [AUC=0.909, 95% CI (0.880, 0.938)] demonstrated the best predictive performance. SHAP analysis revealed that anti-cyclic citrullinated peptide antibody, C-reactive protein, rheumatoid factor, interleukin-6, body mass index, age, and smoking status made significant contributions to the overall prediction of postoperative complications. CONCLUSION Machine learning-based models enable accurate prediction of postoperative complication risks among RA patients undergoing TKA. Inflammatory and immune-related blood biomarkers, such as anti-cyclic citrullinated peptide antibody, C-reactive protein, and rheumatoid factor, interleukin-6, play key predictive roles, highlighting their potential value in perioperative risk stratification and individualized management.
Humans ; Arthroplasty, Replacement, Knee/adverse effects* ; Arthritis, Rheumatoid/blood* ; Machine Learning ; Postoperative Complications/blood* ; Female ; Male ; Retrospective Studies ; Middle Aged ; Aged ; Risk Factors ; Preoperative Period ; C-Reactive Protein/analysis* ; Risk Assessment

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.