This study investigates the mechanism by which Xintong Granules improve myocardial ischemia-reperfusion injury(MIRI) through the regulation of gut microbiota and their metabolites, specifically short-chain fatty acids(SCFAs). Rats were randomly divided based on body weight into the sham operation group, model group, low-dose Xintong Granules group(1.43 g·kg~(-1)·d~(-1)), medium-dose Xintong Granules group(2.86 g·kg~(-1)·d~(-1)), high-dose Xintong Granules group(5.72 g·kg~(-1)·d~(-1)), and metoprolol group(10 mg·kg~(-1)·d~(-1)). After 14 days of pre-administration, the MIRI rat model was established by ligating the left anterior descending coronary artery. The myocardial infarction area was assessed using the 2,3,5-triphenyltetrazolium chloride(TTC) staining method. Apoptosis in tissue cells was detected by the terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling(TUNEL) assay. Pathological changes in myocardial cells and colonic tissue were observed using hematoxylin-eosin(HE) staining. The levels of tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), interleukin-6(IL-6), creatine kinase MB isoenzyme(CK-MB), and cardiac troponin T(cTnT) in rat serum were quantitatively measured using enzyme-linked immunosorbent assay(ELISA) kits. The activities of lactate dehydrogenase(LDH), creatine kinase(CK), and superoxide dismutase(SOD) in myocardial tissue, as well as the level of malondialdehyde(MDA), were determined using colorimetric assays. Gut microbiota composition was analyzed by 16S rDNA sequencing, and fecal SCFAs were quantified using gas chromatography-mass spectrometry(GC-MS). The results show that Xintong Granules significantly reduced the myocardial infarction area, suppressed cardiomyocyte apoptosis, and decreased serum levels of pro-inflammatory cytokines(TNF-α, IL-1β, and IL-6), myocardial injury markers(CK-MB, cTnT, LDH, and CK), and oxidative stress marker MDA. Additionally, Xintong Granules significantly improved intestinal inflammation in MIRI rats, regulated gut microbiota composition and diversity, and increased the levels of SCFAs(acetate, propionate, isobutyrate, etc.). In summary, Xintong Granules effectively alleviate MIRI symptoms. This study preliminarily confirms that Xintong Granules exert their inhibitory effects on MIRI by regulating gut microbiota imbalance and increasing SCFA levels.
Animals ; Gastrointestinal Microbiome/drug effects* ; Rats ; Male ; Myocardial Reperfusion Injury/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Rats, Sprague-Dawley ; Apoptosis/drug effects* ; Humans ; Tumor Necrosis Factor-alpha/metabolism* ; Interleukin-6/genetics* ; Malondialdehyde/metabolism*

Objective This study aims to investigate the association between remnant cholesterol(RC)and the risk of metabolic-associated fatty liver disease(MAFLD)under the optimal triglyceride(TG)levels recom-mended by different guidelines.Methods The data were derived from the annual physical examinations of elderly people aged 65 and above in a community in 2023.Regression analysis was used to evaluate the association between RC and MAFLD risk.According to the TG normal level(<1.7 mmol/L)recommended by the Chinese Lipid Management Consensus and the TG ideal target(<1.2 mmol/L)proposed by the European Atherosclerosis Society,the individuals were divided into subgroups with different TG levels to explore the association between RC and MAFLD risk in each subgroup.Results A total of 2,800 elderly individuals aged 65 and above were included in this study.The proportion of the individuals meeting the diagnostic criteria for MAFLD was 20.85%,and RC was identified as an independent risk factor for MAFLD(P<0.001).In the elderly individuals with TG<1.7 mmol/L,RC level was not significantly associated with MAFLD risk(P=0.888).In contrast,in the elderly individuals with TG≥1.7 mmol/L,RC level was significantly and positively correlated with MAFLD risk(P<0.001).Interaction tests revealed no significant interaction between the stratification factor and the effect size of RC(P=0.115).In the elderly individuals with TG<1.2 mmol/L,RC level was not associated with MAFLD risk(P=0.505),while in the elderly individuals with TG≥1.2 mmol/L,RC level was significantly associated with MAFLD risk(P<0.001).Interaction tests showed a significant interaction between the stratification factor and the effect size of RC(P=0.011).Conclusion RC is an independent risk factor for MAFLD in older individuals.To reduce the risk of MAFLD related to RC in the elderly,a triglyceride level of<1.2 mmol/L can serve as a reference for identifying early-stage risk.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Objective This study aims to investigate the association between remnant cholesterol(RC)and the risk of metabolic-associated fatty liver disease(MAFLD)under the optimal triglyceride(TG)levels recom-mended by different guidelines.Methods The data were derived from the annual physical examinations of elderly people aged 65 and above in a community in 2023.Regression analysis was used to evaluate the association between RC and MAFLD risk.According to the TG normal level(<1.7 mmol/L)recommended by the Chinese Lipid Management Consensus and the TG ideal target(<1.2 mmol/L)proposed by the European Atherosclerosis Society,the individuals were divided into subgroups with different TG levels to explore the association between RC and MAFLD risk in each subgroup.Results A total of 2,800 elderly individuals aged 65 and above were included in this study.The proportion of the individuals meeting the diagnostic criteria for MAFLD was 20.85%,and RC was identified as an independent risk factor for MAFLD(P<0.001).In the elderly individuals with TG<1.7 mmol/L,RC level was not significantly associated with MAFLD risk(P=0.888).In contrast,in the elderly individuals with TG≥1.7 mmol/L,RC level was significantly and positively correlated with MAFLD risk(P<0.001).Interaction tests revealed no significant interaction between the stratification factor and the effect size of RC(P=0.115).In the elderly individuals with TG<1.2 mmol/L,RC level was not associated with MAFLD risk(P=0.505),while in the elderly individuals with TG≥1.2 mmol/L,RC level was significantly associated with MAFLD risk(P<0.001).Interaction tests showed a significant interaction between the stratification factor and the effect size of RC(P=0.011).Conclusion RC is an independent risk factor for MAFLD in older individuals.To reduce the risk of MAFLD related to RC in the elderly,a triglyceride level of<1.2 mmol/L can serve as a reference for identifying early-stage risk.

Objective To investigate the efficacy of an interpretable integrated learning model combining clinical indicators,CT image features and radiomics features for the differential diagnosis of lung squamous cell carcinoma and adenocarcinoma,so as to provide references for clincal treatment decisions.Methods A retrospective analysis was conducted on clinical and imaging data from 220 patients(231 lesions)with primary non-small cell lung cancer at Jiangjin Central Hospital of Chongqing(Center 1)and 83 patients(84 lesions)at Chongqing General Hospital(Center 2).In Center 1,the squamous cell carcinoma group consisted of 60 patients(60 lesions),while the adenocarcinoma group included 160 patients(171 lesions).In Center 2,the squamous cell carcinoma group comprised 18 patients(18 lesions),and the adenocarcinoma group involved 65 patients(66 lesions).The patients were categorized into squamous cell carcinoma and adenocarcinoma groups based on pathological findings.Center 1 was randomly partitioned into a training set and a validation set at a 7∶3 ratio,while Center 2 served as the independent test set.Firstly,a deep learning model,VB-Net,was used to automatically segment the tumor region on the lung window image;secondly,the SMOTE(synthetic minority oversampling technique)method was used to balance the categories in the training set and standardize the extracted features with Z-scores;thirdly,the least absolute shrinkage and selection operator(LASSO)were used to select the optimal radiomics features and calculate the radiomics score(Radscore),and univariate and multivariate logistic regression was used to screen clinical indicators and independent clinical factors for differentiating lung squamous cell carcinoma and adenocarcinoma in CT image features;finally,three ensemble learning algorithms(AdaBoost,Bagging decision tree and XGBoost)were used to combine independent clinical factors and Radscore to construct the model.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic performance of the models.SHAP technique was used to analyze the feature contribution and model decision-making process.Results Among the evaluated ensemble models,AdaBoost and Bagging decision trees demonstrated overfitting tendencies.In contrast,the XGBoost model showed the best performance,achieving AUC values of 0.939,0.887 and 0.853 in the training,validation and independent test sets,respectively.SHAP indicated that Radscore was the most important feature affecting the performance of the model.The decision diagram enabled the visualization of the diagnostic process of the model.Conclusion The interpretable integrated learning model based on clinical indicators,CT image and radiomics features is expected to non-invasively diagnose lung squamous cell carcinoma and adenocarcinoma before treatment and assist clinicians make treatment decisions as early as possible.[Chinese Medical Equipment Journal,2025,46(7):12-20]

Objective To establish a Nomogram model for predicting the occurrence of stigma in elderly patients with colostomy after colorectal cancer (CRC) surgery. Methods A total of 123 elderly patients with colostomy after CRC surgery in the Northern Jiangsu People's Hospital Affiliated to Yangzhou University from June 2022 to December 2023 were selected as research objects, and they were divided into stigma group (n=62) and non-stigma group (n=61) according to the occurrence of stigma. Logistic regression analysis was used to screen risk factors, and a Nomogram was drawn and evaluated for its discrimination and consistency. Results Score of the Social Impact Scale (SIS) in 123 elderly patients with colostomy after CRC surgery ranged from 34 to 90, with an average score of (60.14±12.08) and a median score of 48. Female (95%CI, 2.467 to 20.978, P < 0.001), presence of stoma complications (95%CI, 1.766 to 10.093, P=0.001), moderate to low level of perceived social support (95%CI, 1.654 to 12.710, P=0.003), and moderate to low level of psychosocial adaptation (95%CI, 1.568 to 10.869, P=0.004) were identified as independent risk factors for stigma in elderly patients with colostomy after CRC surgery. The area under the receiver operating characteristic curve was 0.816 (95% CI, 0.744 to 0.889); the calibration curve had a slope close to 1, and the Hosmer-Lemeshow goodness-of-fit test showed better results (χ²=7.722, P=0.461). Conclusion Female, presence of stoma complications, moderate to low level of perceived social support, and moderate to low level of psychosocial adaptation are independent risk factors for stigma in elderly patients with colostomy after CRC surgery. Nomogram model established based on these factors can help identify high-risk populations for stigma, so as to obtain individualized precise intervention and reduce the incidence of stigma.

OBJECTIVE: To investigate whether the combination of chemotherapy with staged Chinese herbal medicine (CHM) therapy could enhance health-related quality of life (QoL) in non-small-cell lung cancer (NSCLC) patients and prolong the time before deterioration of lung cancer symptoms, in comparison to chemotherapy alone. METHODS: A prospective, double-blind, randomized, controlled trial was conducted from December 14, 2017 to August 28, 2020. A total of 180 patients with stage I B-IIIA NSCLC from 5 hospitals in Shanghai were randomly divided into chemotherapy combined with CHM (chemo+CHM) group (120 cases) or chemotherapy combined with placebo (chemo+placebo) group (60 cases) using stratified blocking randomization. The European Organization for Research and Treatment of Cancer (EORTC) Quality-of-Life-Core 30 Scale (QLQ-C30) was used to evaluate the patient-reported outcomes (PROs) during postoperative adjuvant chemotherapy in patients with early-stage NSCLC. Adverse events (AEs) were assessed in the safety analysis. RESULTS: Out of the total 180 patients, 173 patients (116 in the chemo+CHM group and 57 in the chemo+placebo group) were included in the PRO analyses. The initial mean QLQ-C30 Global Health Status (GHS)/QoL scores at baseline were 57.16 ± 1.64 and 57.67 ± 2.25 for the two respective groups (P>0.05). Compared with baseline, the chemo+CHM group had an improvement in EORTC QLQ-C30 GHS/QoL score at week 18 [least squares mean (LSM) change 17.83, 95% confidence interval (CI) 14.29 to 21.38]. Conversely, the chemo+placebo group had a decrease in the score (LSM change -13.67, 95% CI -22.70 to -4.63). A significant between-group difference in the LSM GHS/QoL score was observed, amounting to 31.63 points (95% CI 25.61 to 37.64, P<0.001). The similar trends were observed in physical functioning, fatigue and appetite loss. At week 18, patients in the chemo+CHM group had a higher proportion of improvement or stabilization in GHS/QoL functional and symptom scores compared to chemo+placebo group (P<0.001). The median time to deterioration was longer in the chemo+CHM group for GHS/QoL score [hazard ratio (HR)=0.33, 95% CI 0.23 to 0.48, P<0.0010], physical functioning (HR=0.43, 95% CI 0.25 to 0.75, P=0.0005), fatigue (HR=0.47, 95% CI 0.30 to 0.72, P<0.0001) and appetite loss (HR=0.65, 95% CI 0.42 to 1.00, P=0.0215). The incidence of AEs was lower in the chemo+CHM group than in the chemo+placebo group (9.83% vs. 15.79%, P=0.52). CONCLUSION The staged CHM therapy could help improve the PROs of postoperative patients with early-stage NSCLC during adjuvant chemotherapy, which is worthy of further clinical research. (Registry No. NCT03372694).
Humans ; Carcinoma, Non-Small-Cell Lung/surgery* ; Male ; Middle Aged ; Female ; Lung Neoplasms/pathology* ; Double-Blind Method ; Drugs, Chinese Herbal/therapeutic use* ; Chemotherapy, Adjuvant ; Patient Reported Outcome Measures ; Quality of Life ; Aged ; Postoperative Period ; Prospective Studies

Aim To explore the potential mechanism of action of Codonopsis Poria in the treatment of alco-holic liver disease(ALD).Methods TCMSP and Swiss Target Prediction were used to obtain the active ingredients and targets of Codonopsis Poria;OMMI,DisGeNET and GeneCards databases were used to obtain the targets of ALD;STRING database was used to construct the PPI network;and Bioconductor soft-ware was used to analyze the enrichment of GO and KEGG pathways.Cytoscape 3.7.1 software was used to construct the drug-component-target-disease network of Codonopsis Poria for ALD treatment,and key targets were screened for molecular docking;the effects of Codonopsis Poria on ALD rats were verified by experi-ments.Results The removal of duplicate targets ob-tained 36 chemical components and 529 potential ac-tion targets.GO enrichment analysis:2 245 biological processes,74 cellular components,125 molecular functions.KEGG enrichment analysis:159 signaling pathways,mainly involving PI3K-Akt,MAPK,AGE-RAGE signaling pathways.Molecular docking showed that AKT1,MMP9 and other targets may be the key targets of Codonopsis Poria in the treatment of ALD.Experiments showed that Codonopsis Poria could im-prove the inflammation level of hepatocytes in ALD rats and reduce the levels of TC,TG,AST,ALT and GGT in ALD rats,PCR assay concluded that Codonopsis Po-ria could reduce the expression of PI3 K and AKT,and electron microscopy results showed that Codonopsis Po-ria could affect the autophagy of cells.Conclusions It is initially revealed that Codonopsis Poria may atten-uate inflammatory cell infiltration by affecting the ex-pression of AKT,TNF and MAPK,and it is hypothe-sized that Codonopsis Poria may affect autophagy through the PI3K-Akt signaling pathway,thus treating ALD,which is initially verified by PCR assay to pro-vide a basis for in-depth explanation of the molecular mechanism of Codonopsis Poria medicinal pairs in the treatment of ALD.

Objective To analyze the clinical efficacy of Saccharomyces boulardii capsules combined with mesalazine enteric-coated in the treatment of patients with ulcerative colitis(UC)and its influence on intestinal microecology and mucosal inflammation.Methods Patients with UC were randomly divided into control group and treatment group.The control group took mesalazine enteric-coated(0.5 g,tid),while the treatment group was given Saccharomyces boulardii capsule orally(0.5 g,bid)on the basis of the control group,and both groups were treated for 2 months.The clinical efficacy,mucosal healing status(modified Mayo score,Geboes index score),intestinal mucosal inflammatory indicators and intestinal microecology were compared between groups of patients,and the safety evaluation was performed.Results 45 cases were included in control group and treatment group,respectively.After 2 months of treatment,the total effective rates of treatment in treatment group and control group were 86.67％(39 cases/45 cases)and 66.67％(30 cases/45 cases),the difference was statistically significant(P＜0.05).After treatment,the modified Mayo scores were(3.02±0.85)and(3.88±1.01)points,the Geboes index scores were(0.63±0.15)and(0.91±0.20)points,the levels of interleukin-6(IL-6)were(39.27±8.89)and(67.94±11.02)pg·mL-1,the levels of interleukin-10(IL-10)were(61.44±7.76)and(50.28±6.74)ng·L-1,the levels of interleukin-23(IL-23)were(452.19±80.01)and(514.68±95.93)ng·mL-1,the levels of tumor necrosis factor-α(TNF-α)were(30.93±4.68)and(46.75±8.31)ng·L-1,the Bifidobacteria counts were(10.49±1.87)and(9.57±1.73)lgCFU·g-1,the Lactobacillus counts were(9.43±1.66)and(7.94±1.39)lgCFU·g-1,the Colibacillus counts were(7.15±1.29)and(8.03±1.47)lgCFU·g-1,the Enterococci counts were(6.59±1.02)and(7.81±1.14)lgCFU·g-1,respectively(all P＜0.05).The adverse reactions in treatment group included nausea,the adverse drug reactions in control group included nausea and dizziness.The incidence rates of adverse drug reactions in treatment group and control group were 4.44％(2 cases/45 cases)and 4.44％(2 cases/45 cases),respectively(P＞0.05).Conclusion Saccharomyces boulardii capsule combined with mesalazine enteric-coated tablet has significant effect in the treatment of UC,which can effectively inhibit the intestinal mucosal inflammation,improve the intestinal microecology and promote the intestinal mucosal healing,and it has good safety.