Objective To study the antitumor effects in vitro and impact on colon cancer in rats of endostatin transfected bifidobacterium oral powder preparation(ETB-2).Methods Growth inhibitory effect of the cecropins on normal human gastric epithelial cell line(GES-1) and human colon adenocarcinoma cell line(LS-174T) was observed using a microculturetetrazolium(MTT) colorimetric methods.Male Wistar rats were divided into 4 groups.All treatments were completed in a course of 18 weeks and the experiment was finished at week 33.Results The cecropins showed selective cytotoxic activity against the human colon adenocarcinoma cell line.There was a significant lower in incidence of colon tumors in rats(70%vs100%,P0.05).Conclusion ETB-2 has significant preventive effect on colon cancer induced by DMH in rats.

Objective:To dynamically monitor the changes of fibrinogen-like protein 2 (FGL2), Vaspin and transport protein (TSPO) in the perioperative period of craniocerebral trauma, and analyze their correlation with disease progression and significance.Methods:One hundred and eight patients with craniocerebral trauma admitted to Hubei Jianghan Oilfield General Hospital Guanghuayuan District from June 2019 to June 2022 were selected and according the scores of Glasgow outcome scale (GOS) at 3 months postoperatively they were divided into good group (GOS 4 - 5 scores, 68 cases) and poor group (GOS 1 - 3 scores, 40 cases). The changes of FGL2, Vaspin and TSPO were monitored and compared between the two groups at preoperatively, 1 d postoperatively and 3 d postoperatively. Pearson analysis was applied to analyze the relationship between FGL2, Vaspin and TSPO at 1, 3 d postoperatively. The value of FGL2, Vaspin, TSPO and combined prediction of disease regression at 3 d postoperatively was analyzed by receiver operating characteristic (ROC) curve.Results:The rate of multiple injuries and brain herniation formation in the poor group were higher than those in the good group: 30.00% (12/40) vs. 7.35% (5/68), 20.00% (8/40) vs. 2.94% (2/68), and the scores of Glasgow coma scale (GCS) was lower than that in the good group: (8.04 ± 1.25) scores vs. (9.18 ± 1.33) scores, there were statistical differences ( P<0.05). The levels of FGL2, Vaspin and TSPO were all higher at 1 d postoperatively than before surgery in patients with different disease regressions, with each index decreasing at 3 d postoperatively compared with 1 d postoperatively in the good group, but continuing to increase at 3 d postoperatively in the bad group ( P<0.05). The levels of FGL2, Vaspin and TSPO in the poor group were higher than those in the good group at 1 d and 3 d postoperatively: at 1 d postoperatively: (314.01 ± 88.67) μg/L vs. (275.33 ± 79.24) μg/L, (0.27 ± 0.08) μg/L vs. (0.22 ± 0.07) μg/L, (3.28 ± 1.03) μg/L vs. (2.01 ± 0.64) μg/L; at 3 d postoperatively: (374.85 ± 92.33) μg/L vs. (259.94 ± 81.78) μg/L, (0.30 ± 0.09) μg/L vs. (0.20 ± 0.06) μg/L, (3.77 ± 1.15) μg/L vs. (1.68 ± 0.52) μg/L, there were statistical differences ( P<0.05). The results of Pearson analysis showed that FGL2, Vaspin and TSPO were negatively correlated with GOS scores at 1 d and 3 d postoperatively (at 1 d postoperatively: r = - 0.729, - 0.796, - 0.814, P<0.05; at 3 d postoperatively: r = - 0.862, - 0.855, - 0.905, P<0.05), FGL2, Vaspin and TSPO were more strongly correlated with GOS scores at 3 d postoperatively (larger r values). The results of ROC curve analysis showed that FGL2, Vaspin and TSPO all had a predictive value for disease regression, and the area under the curve of FGL2 combined with Vaspin and TSPO was the largest (0.923 , 95% CI 0.855 to 0.965). Conclusions:There are many influencing factors in the prognosis of craniocerebral trauma. The changes of FGL2, Vaspin and TSPO during the perioperative period can predict the progress and regression of patients, and the combined dynamic monitoring is more conductive to evaluate the prognosis.

Objective lo investigate the predictive value of serum growth differentiation factor 11(GDF-11)and calprotectin A4(S100A4)for contrast-induced nephropathy(CIN)after coronary angiography(CAG).Methods A total of 528 patients who underwent CAG in the First Affiliated Hospital of Xi'an Jiao-tong University from December 2020 to November 2023 were selected as the research objects.According to whether the patients had CIN,they were divided into non-nephropathy group(472 cases)and nephropathy group(56 cases).Enzyme-linked immunosorbent assay was used to detect serum levels of GDF-11 and S100A4.Multivariate Logistic regression analysis was used to explore the influencing factors of CIN after CAG.Receiver operating characteristic(ROC)curve was used to evaluate the predictive value of serum GDF-11 and S100A4 for CIN after CAG.Results The serum levels of GDF-11 and S100A4 in nephropathy group were higher than those in non-nephropathy group(P＜0.05).The contrast agent dose and postoperative ser-um creatinine level in the nephropathy group were higher than those in the non-nephropathy group(P＜0.05).Multivariate Logistic regression analysis showed that contrast agent dose ≥131.84 mL(OR=2.158,95％CI 1.284-3.627),postoperative serum creatinine ≥ 87.57 μmol/L(OR=2.445,95％CI 1.533-3.898),GDF-1 1 ≥4 50.84 ng/mL(OR=2.445,95％CI 1.533-3.898)were the influencing factors of CIN af-ter CAG(P＜0.05).The area under the curve(95％CI)of serum GDF-11 and S100A4 for predicting CIN af-ter CAG was 0.861(95％CI 0.810-0.912)and 0.798(95％CI 0.747-0.849),respectively.The optimal cut-off values were 450.84 ng/mL and 86.98 μg/mL,the specificity were 65.89％and 57.62％,and the sensi-tivity were 94.74％and 94.74％,respectively.The area under the curve of the combination of the two was 0.906(95％CI 0.856-0.957),the specificity was 87.09％,and the sensitivity was 84.26％.Conclusion The elevated levels of serum GDF-11 and S100A4 are closely related to the occurrence of CIN in patients after CAG surgery,which can be used as biological indicators to evaluate the occurrence of CIN in patients after CAG surgery,and the combined prediction efficiency of GDF-11 and S100A4 is higher.

Humans ; Female ; Breast Neoplasms/pathology* ; Multiomics ; Trastuzumab ; Receptor, ErbB-2/genetics* ; Machine Learning