Effects of Compound Probiotics on Growth Performance and Intestinal Flora of Kunming Mice

[Objectives]This study was conducted to investigate the effects of adding compound probiotics on the growth performance and intestinal flora of Kunming mice.[Methods]Twelve healthy 2-week-old Kunming male mice with body weight of(11.09±0.43)g were selected.They were randomly divided into two treatment groups,namely blank control group(NC)and compound probiotics group(CB+LR+BS),with six mice in each group.The two groups were fed with commercial basal diet,and the compound probiotic experimental group was fed with basal diet supplemented with compound probiotics,in which the contents of Clostridium butyricum spores,Lactobacillus reuteri and Bacillus subtilis spores were 1×1010,1×1011 and 1×1010 CUF/kg,respectively.The body weight,feed intake and water intake of mice were counted every 4 d,and the experimental period was 13 d.On the 13 th day,the cecal contents of the mice were collected for analysis.[Results]There was no significant change in body weight and feed intake when compound probiotics were added to the diet.However,the addition of compound probiotics reduced the abundance of harmful bacteria such as Escherichia coli,urease-negative Helicobacter typhlonius and Salmonella enterica,while increasing the abundance of beneficial bacteria such as Anaerostipes hadrus,and the contents of IgG and IgM increased significantly(P<0.05).[Conclusions]In summary,the addition of compound probiotics could significantly improve the structure of intestinal microbial flora,increase the quantity of beneficial bacteria,reduce the quantity of harmful bacteria,and improve the immune function of mice.

Predicting survival and prognosis of postoperative breast cancer brain metastasis:a population-based retrospective analysis

Background:Breast cancer is one of the most common cancer in women and a proportion of patients experiences brain metastases with poor prognosis.The study aimed to construct a novel predictive clinical model to evaluate the overall survival(OS)of patients with postoperative brain metastasis of breast cancer(BCBM)and validate its effectiveness.Methods:From 2010 to 2020,a total of 310 female patients with BCBM were diagnosed in The Affiliated Cancer Hospital of Xinjiang Medical University,and they were randomly assigned to the training cohort and the validation cohort.Data of another 173 BCBM patients were collected from the Surveillance,Epidemiology,and End Results Program(SEER)database as an external validation cohort.In the training cohort,the least absolute shrinkage and selection operator(LASSO)Cox regression model was used to determine the fundamental clinical predictive indicators and the nomogram was constructed to predict OS.The model capability was assessed using receiver operating characteristic,C-index,and calibration curves.Kaplan-Meier survival analysis was performed to evaluate clinical effectiveness of the risk stratification system in the model.The accuracy and prediction capability of the model were verified using the validation and SEER cohorts.Results:LASSO Cox regression analysis revealed that lymph node metastasis,molecular subtype,tumor size,chemotherapy,radiotherapy,and lung metastasis were statistically significantly correlated with BCBM.The C-indexes of the survival nomogram in the training,validation,and SEER cohorts were 0.714,0.710,and 0.670,respectively,which showed good prediction capability.The calibration curves demonstrated that the nomogram had great forecast precision,and a dynamic diagram was drawn to increase the maneuverability of the results.The Risk Stratification System showed that the OS of lowrisk patients was considerably better than that of high-risk patients(P<0.001).Conclusion:The nomogram prediction model constructed in this study has a good predictive value,which can effectively evaluate the survival rate of patients with postoperative BCBM.