Objective To investigate the role of bufalin(BU)in inhibiting M2-type macrophage-mediated colorec-tal cancer metastasis.Methods Human acute leukemia mononuclear cells(THP-1)were differentiated into M0 macrophages using phorbol ester induction(PMA)for 48 hours.The M0 macrophages were then treated with IL-4 and IL-13 medium.Surface markers and morphological changes were observed through ELISA,morphology,and RT-qPCR experiments.RT-PCR and ELISA experiments were conducted to detect the surface markers TGF-β and IL-10 of M2 macrophages.The secretion level of IL-6 in the supernatant of M2 macrophages and colorectal cancer cells HCT116 was compared using ELISA.Additionally,the effect of conditioned medium on colorectal cancer cell HCT116 was assessed through Transwell,Wound healing,RT-qPCR,and Western blot experiments.Subsequent-ly,bufalin was added to the conditioned medium and the changes in AKT/PI3K protein,migration,and epithelial-mesenchymal transition ability in HCT116 were observed using Western blot,Transwell,Wound healing and RT-qPCR experiments.Results THP-1 were successfully differentiated into M2 macrophages.The activation of AKT/PI3K protein in HCT116 cells was induced by the secretion of IL-6 from M2 macrophages,which in turn promoted the migration and epithelial-mesenchymal transition ability of the HCT116 cells.The migration and epithelial-mes-enchymal transition mediated by M2 macrophages in HCT116 cells were effectively inhibited by Bufalin.Conclu-sion The release of IL-6 from M2 macrophages activates the AKT/PI3K signaling pathway in colorectal cancer cells,thereby promoting their migration and epithelial-mesenchymal transition capacity.Moreover,bufalin exhibits inhibitory effects on this effect.

ObjectiveThe antitumor activity of sesquiterpenoid M36 isolated from Myrrha against human hepatoma HepG2 cells was investigated in this study. MethodHepG2 cells were treated with M36 at different concentrations （0， 2， 4， 6， 8， 10 μmol·L^-1）. Firstly， the effects of M36 on the proliferation of human hepatoma HepG2 cells were detected by methyl thiazolyl tetrazolium （MTT）， colony formation assay， and EdU proliferation assay. Hoechst staining， flow cytometry analysis， and Western blot were used to explore the effect of M36 on the apoptosis of human hepatoma HepG2 cells. Acridine orange staining and western blotting were used to examine the effect of M36 on autophagy in HepG2 cells. Finally， Western blot was used to detect protein expression of cancer-related signaling pathways. ResultCompared with the blank group， M36 treatment significantly inhibited the proliferation of human hepatoma HepG2 cells （P<0.01）， and the half inhibitory concentration （IC₅₀） value of M36 for 48 h was 5.03 μmol·L^-1， in a dose- and time-dependent manner. M36 was also able to induce apoptosis and autophagy in human hepatoma HepG2 cells. After treatment with 8 μmol·L^-1 M36 for 48 hours， the apoptosis rate of HepG2 cells was （42.03±9.65）% （P<0.01）. Compared with the blank group， HepG2 cells treated with 4 and 8 μmol·L^-1 M36 for 48 h had a significant increase in cleaved poly ADP-ribose polymerase （cleaved-PARP） protein levels （P<0.01）. Acridine orange staining showed that autophagy was significantly activated in HepG2 cells treated with 4 and 8 μmol·L^-1 M36 for 48 h compared with the blank group （P<0.01）， which was further verified by the up-regulation of microtubule-associated protein 1 light chain 3 Ⅱ （LC3 Ⅱ）. Western blot results showed that compared with the blank group， the levels of phosphorylated extracellular regulated protein kinase （p-ERK）， phosphorylated p38 mitogen-activated protein kinase （p-p38 MAPK）， phosphorylated c-Jun N-terminal kinase （p-JNK）， and its downstream nuclear transcription factors c-Jun and p-c-Jun protein were significantly increased in M36 group （P<0.05， P<0.01）. The mechanism may be related to the up-regulation of MAPK signaling pathway. ConclusionThe sesquiterpenoid M36 isolated from Myrrha inhibits the proliferation of human hepatoma HepG2 cells and promotes apoptosis and autophagy， which may be related to the activation of the MAPK signaling pathway.

Objective:To investigate the influencing factors for microvascular invasion (MVI) in hepatocellular carcinoma based on three-dimensional visualization and the construction of its nomogram model.Methods:The retrospective cohort study method was conducted. The clinico-pathological data of 190 patients with hepatocellular carcinoma who were admitted to Henan University People′s Hospital from May 2018 to May 2021 were collected. There were 148 males and 42 females, aged (58±12)years. The 190 patients were randomly divided into the training set of 133 cases and the validation set of 57 cases by the method of random number table in the ratio of 7:3. The abdominal three-dimensional visualization system was used to characterize the tumor morphology and other imaging features. Observation indicators: (1) analysis of influencing factors for MVI in hepatocellular carcinoma; (2) construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. Measurement data with normal distribution were expressed as Mean± SD, and independent sample t test was used for comparison between groups. Measurement data with skewed distribution were expressed as M( Q1, Q3), and non-parametric rank sum test was used for comparison between groups. Count data were expressed as absolute numbers, and the chi-square test was used for comparison between groups. Corresponding statistical methods were used for univariate analysis. Binary Logistic regression model was used for multivariate analysis. Receiver operator characteristic (ROC) curves were plotted, and the nomogram model was assessed by area under the curve (AUC), calibration curve, and decision curve. Results:(1) Analysis of influencing factors for MVI in hepatocellular carcinoma. Among 190 patients with hepatocellular carcinoma, there were 97 cases of positive MVI (including 63 cases in the training set and 34 cases in the validation set) and 93 cases of negative MVI (including 70 cases in the training set and 23 cases in the validation set). Results of multivariate analysis showed that alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology were independent factors affecting the MVI of patients with hepatocellular carcinoma ( odds ratio=5.06, 3.62, 1.00, 2.02, 2.59, 95% confidence interval as 1.61-15.90, 1.28-10.20, 1.00-1.01, 1.02-3.98, 1.03-6.52, P<0.05). (2) Construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. The results of multivariate analysis were incorporated to construct a nomogram prediction model for MVI of hepatocellular carcinoma. ROC curves showed that the AUC of the training set of nomogram model was 0.85 (95% confidence interval as 0.79-0.92), the optimal fractional cutoff based on the Jordon′s index was 0.51, the sensitivity was 0.71, and the specificity was 0.84. The above indicators of validation set were 0.92 (95% confidence interval as 0.85-0.99), 0.50, 0.90, and 0.82, respectively. The higher total score of the training set suggested a higher risk of MVI in hepatocellular carcinoma. The calibration curves of both training and validation sets of nomogram model fitted well with the standard curves and have a high degree of calibration. The decision curve showed a high net gain of nomogram model. Conclusions:Alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology are independent influencing factors for MVI in patients with hepatocellular carcinoma. A nomogram model constructed based on three-dimensional visualized imaging features can predict MVI in hepatocellular carcinoma.

Objective:To study the impact of the age-adjusted Charlson comorbidity index (ACCI) on the prognosis of patients with hilar cholangiocarcinoma following laparoscopic surgical resection.Methods:Clinical data of 136 patients with hilar cholangiocarcinoma undergoing laparoscopic surgery at Zhengzhou University People's Hospital between January 2013 and January 2018 were retrospectively analyzed, including 81 males and 55 females, aged (63.6±9.8) years. Patients were divided into two groups based on the median ACCI score of 4.0: the high ACCI group (ACCI>4.0, n=49) and low ACCI group (ACCI≤4.0, n=87). The prognosis was compared between the two group. Univariate and multivariate Cox regression analyses were performed to analyze the effect of ACCI on survival after laparoscopic surgery. Results:The 1- and 3-year cumulative survival rates in low ACCI group were 87.4% and 48.3%, respectively, compared to 53.1% and 4.1% in high ACCI group ( χ2=27.97, P<0.001). Univariate Cox regression analysis indicated that ACCI >4.0 was associated with prognosis ( HR=3.73, 95% CI: 2.44-5.68, P<0.001). Multivariate Cox regression analysis also indicated that ACCI >4.0 was associated with an increased risk of postoperative mortality in patients with hilar cholangiocarcinoma ( HR=2.69, 95% CI: 1.65-4.37, P<0.001). Conclusion:The ACCI is a significant risk factor for survival of patients with hilar cholangiocarcinoma following laparoscopic surgery, which could facilitate a precise preoperative assessment of patient status and choice of surgical approach.

Objective To explore the correlation between the characteristics of left atrial(LA)strain and exercise endurance in patients with chronic heart failure(CHF).Methods A total of 212 CHF patients admitted to our hospital from November 2021 to January 2023 were prospec-tively subjected in this study.According to their maximal oxygen uptake(VO2max),they were di-vided into high endurance group[≥16 ml/(kg·min),125 cases]and low endurance group[＜16 ml/(kg·min),125 cases].The general data and results of laboratory test were analyzed and com-pared between the two groups.Logistic regression analysis was used to analyze the related factors affecting the exercise endurance.Results Significant differences were observed between the two groups in level of NT-proBNP,ratio of early diastolic peak velocity of mitral valve(E)to early di-astolic peak velocity of mitral annulus(e'),E,LVEDVI,LVESVI,LVSVI,LVEF,LVGLS,LA maximum volume index(LAVImax),LA minimum volume index(LAVImin),LA reservoir strain(LASr),LA conduit strain duct strain(LAScd),and LA contractile strain(LASct)(P＜0.05).Multivariate logistic regression analysis showed that LASr(OR=0.987,95％CI:1.003-1.029),LAScd(OR=1.177,95％CI:0.688-0.955),LASct(OR=1.341,95％CI:0.507-0.884).NT-proBNP(OR=1.002,95％CI:0.995-1.000),E/e'(OR=1.086,95％CI:1.000-1.183),LVEDVI(OR=1.127,95％CI:0.805-0.936)and LVEF(OR=0.909,95％CI:0.824-1.000)were related factors influencing exercise endurance in CHF patients(P＜0.05).Restricted cube chart revealed that there was a significant nonlinear relationship between LASr,LAScd and LASct and exercise endurance in the patients(x2=9.830,16.820,9.080,P＜0.05).Conclusion The char-acteristic indicators of LA strain are related to exercise endurance of CHF patients.

Objective:To explore the differences in bacterial community structure between proximal colon cancer (PC), distal colon cancer (DC), and rectal cancer (RC), and the values of featured microbiota in differentiating PC with tumor markers.Methods:This case-control study enrolled 85 newly diagnosed colorectal cancer patients, including 22 PC, 15 DC and 48 RC patients, and 8 colorectal adenoma patients from May 2019 to July 2022 at the Department of General Surgery, Anyang Oncology Hospital. The blood and fecal samples were collected before surgery and then subjected to biochemical tests for tumor markers and 16S rDNA tests, respectively. SPSS (27.0.1) was applied to perform the t-test, one-way ANOVA, Mann-Whitney U test, Kruskal-Wallis H test, and Chi-Squared Test. Also, the receiver operating characteristic curve (ROC) was plotted on tumor markers and/or f_Bacteroidaceae with SPSS software .Results:All groups had significant differences in the CA125 ( F=3.543, P<0.05), CA72-4 ( F=3.596, P<0.05), and serum tumor-associated materials (TAM) levels ( F=5.787, P<0.01). In PC group, the levels of CA125 [PC vs RC, (36.84±6.30) kU/L vs (12.73±4.21) kU/L, P<0.01] and CA72-4 [PC vs RC, (45.56±10.86) kU/L vs (3.30±7.63) kU/L, P<0.01] were significantly higher than that of the RC group, while the level of TAM was remarkably elevated in PC group than in RC group [PC vs RC, (124.84±5.19) U/ml vs (102.44±3.63) U/ml, P<0.001] and CRA group [PC vs CRA, (124.84±5.19) U/ml vs (95.39±8.42) U/ml, P<0.01]. The LEfSe analysis showed that the featured microbiota in the PC group included f_Bacteroidaceae, f_Neisseriaceae, f_Clostridiaceae_1, f_Spirochaetaceae, and so on. The largest area under the ROC belonged to the combination of TAM and f_Bacteroidaceae, which reached 0.845 (95% CI 0.747-0.944), with sensitivity being 0.857 and specificity being 0.815. Conclusions:There is heterogeneity in gut microbiota composition among PC, DC, RC, and CRA. The combination of gut microbiota and tumor biomarkers demonstrated good differentiating effects in proximal colon cancers.

Objective: To investigate the pyroptosis-inducing effects of celastrol on tumor cells and to explore the potential mechanisms involved, specifically focusing on the role of the caspase-3/gasdermin E (GSDME) signaling pathway and the impact of endoplasmic reticulum (ER) stress and autophagy. Methods: Necrostatin-1 (Nec-1), lactate dehydrogenase release (LDH) assay, and Hoechst/propidium iodide (PI) double staining were employed to validate the mode of cell death. Western blot was used to detect the cleavage of GSDME and the expression of light chain 3 (LC3) and BIP. Results: Celastrol induced cell swelling with large bubbles, which is consistent with the pyroptotic phenotype. Moreover, treatment with celastrol induced GSDME cleavage, indicating the activation of GSDME-mediated pyroptosis. GSDME knockout via CRISPR/Cas9 blocked the pyroptotic morphology of celastrol in HeLa cells. In addition, cleavage of GSDME was attenuated by a specific caspase-3 inhibitor in celastrol-treated cells, suggesting that GSDME activation was induced by caspase-3. Mechanistically, celastrol induced endoplasmic reticulum (ER) stress and autophagy in HeLa cells, and other ER stress inducers produced effects consistent with those of celastrol. Conclusion These findings suggest that celastrol triggers caspase-3/GSDME-dependent pyroptosis via activation of ER stress, which may shed light on the potential antitumor clinical applications of celastrol.

Objective To investigate the expression of m6 A methyltransferase-like protein 14(METTL14)in the hippocampus of depression-like mice,and to provide a theoretical basis for further study of the molecular mecha-nism of depression and new drug targets.Methods 1)Twenty-four male C57BL/6J mice were divided into con-trol group and depression model group.The control group was fed normally,and the model group was kept in single animal cage for 4 months and added with Chronic Unpredictable Animal Stress(CUMS)to establish the depression-like model.2)After modeling,depression-like behaviors in model group were tested using forced swimming test(FST),sucrose preference test(SPT)and tail suspension test(TST).3)Twenty-four hours after completion of behavioral test,the hippocampus tissues of mice were collected,and the expression of m6 A methyltransferase-like protein METTL14 in the hippocampus of mice was detected by molecular biology experiments.Results 1)The mice in the model group showed significant depression-like behavior;2)The expression of MET-TL14 in the hippocampus of the model group showed an increased mRNA expression with the increased m6 A modifi-cation.3)In the model group,the expression of METTL14 in hippocampal CA1,CA3 and DG districts increased and there was neuronal damage found.Conclusions m6 A methylation function has been proved to be more active in the hippocampus of depressed mice.

Objective:To construct and validate a machine learning model for preoperative prediction of perineural invasion (PNI) status in intrahepatic cholangiocarcinoma (ICC).Methods:Clincial data of 329 patients, including 245 admitted to Zhengzhou University People's Hospital from January 2018 to June 2023 and 84 admitted to the Affiliated Cancer Hospital of Zhengzhou University from January 2013 to January 2020 were retrospectively analyzed. Patients were divided into a training set ( n=231) and a validation set ( n=98). Clinicopathological data including age, gender, hepatitis B virus (HBV) infection status were collected. Predictive variables were determined using least absolute shrinkage and selection operator (LASSO) regression analysis. Six machine learning algorithms including random forest (RF), logistic regression, and linear kernel-based support vector machine were selected to construct the preoperative prediction model for PNI in ICC. Performance metrics of the model were calculated using a confusion matrix, and the final model was selected. The model performance was evaluated in the validation set. Calibration curves were plotted to evaluate the final model, and a Pareto chart was used to visualize the importance of predictive variables. Results:LASSO regression identified nine predictive variables included in the prediction model, including carbohydrate antigen 19-9 (CA19-9), HBV infection status, alkaline phosphatase, alanine aminotransferase, prothrombin time, total bilirubin, albumin, neutrophil times gamma-glutamyl transferase to lymphocyte ratio, and tumor burden score. Among the trained six models, the area under the curve (AUC) of the RF model was 0.909, with a sensitivity of 0.842 and an accuracy of 0.870. Compared with the AUC of the RF model, the AUCs of the other 5 models were lower (all P<0.05). The AUC of the RF model for predicting PNI in ICC in validation set was 0.736. Calibration curves showed good fit of the RF model's prediction of PNI in ICC in both training and validation sets. The Pareto chart showed that CA19-9 was the most important predictive variable in the model, followed by HBV infection status. Conclusion:The machine learning model based on the RF algorithm has a high accuracy in preoperative prediction of PNI status in ICC.

Objective:To explore the clinical characteristics and genetic variants of two children with 3-hydroxy-3-methylglutaryl-coenzyme A lyase deficiency (HMGCLD).Methods:Two children with HMGCLD diagnosed at Henan Provincial Children′s Hospital respectively in December 2019 and June 2022 were selected as the study subjects. Clinical data and results of laboratory testing were analyzed retrospectively.Results:Both children had manifested with repeated convulsions, severe hypoglycemia, metabolic acidosis and liver dysfunction. Blood amino acids and acylcarnitine analysis showed increased 3-hydroxy-isovalyl carnitine (C5OH) and 3-hydroxy-isovalyl carnitine/capryloyl carnitine ratio (C5OH/C8), and urinary organic acid analysis showed increased 3-hydroxyl-3-methyl glutaric acid, 3-methyl glutaric acid, 3-methyl glutacoic acid, 3-hydroxyisoglycine and 3-methylprotarylglycine. Child 1 was found to harbor homozygous c. 722C>T variants of the HMGCL gene, which was rated as uncertain significance(PM2_Supporting+ PP3). Child 2 was found to harbor homozygous c. 121C>T variants of the HMGCL gene, which was rated as pathogenic(PVS1+ PM2_Supporting+ PP4). Conclusion:Acute episode of HMGCLD is usually characterized by metabolic disorders such as hypoglycemia and metabolic acidosis, and elevated organic acids in urine may can facilitate the differential diagnosis, though definite diagnosis will rely on genetic testing.