1.Protective effect of staphylococcal nuclease on 2, 4, 6-trinitro-benzene sulfonic acid-induced colitis in mice
Tingting ZHANG ; Yinliu MEI ; Wanfa DONG ; Jingxun WANG ; Liang JIN ; Jie WU
Journal of China Pharmaceutical University 2020;51(2):198-205
To explore the improving effect and mechanism of staphylococcal nuclease(SNase)-mediated degradation of neutrophil extracellular traps(NETs)on 2, 4, 6-trinitro-benzene sulfonic acid(TNBS)-induced colitis in mice. The model of colitis in female BALB/c mice was established by intrarectal injection of 2. 5% TNBS solution, and SNase loaded by Lactococcus lactis(L. lactis)were orally administrated for 6 days. To investigate the effect of SNase-mediated degradation of neutrophil extracellular traps on colitis in mice, the experiment was divided into control group, TNBS model group, NZ900 group and L. lactis pCYT: SNase group. The daily body weight, stool consistency and bleeding of mice were observed. The pathological condition of HE in colon group was detected. The activity of MPO and the mRNA expression level of inflammatory cytokines in each group were measured, and the concentration of inflammatory factors in serum was detected. The expression of NETs level marker citH3 in colon tissue was determined by immunohistochemistry. The results showed that SNase loaded by lactis acid bacteria could alleviate the weight loss, disease activity index score, colonic length and pathological damage induced by TNBS in mice, and reduce the levels of inflammatory cytokines in serum and colonic tissue, inhibit the activity of MPO and the expression of Ly6G and citH3 in colon tissue. The preliminary mechanism showed that SNase could down-regulate the expression of inflammatory cytokines and reduce the content of NETs markers to alleviate colitis in mice.
2.Establishment and validation of risk prediction model for bone metastasis of NSCLC
Chunxiao Hu ; Yafeng Liu ; Yixin Su ; Jianqiang Guo ; Wenting Zhang ; Xueqin Wang ; Jun Xie ; Wanfa Hu ; Jing Wu ; Yingru Xing ; Dong Hu ; Xuansheng Ding
Acta Universitatis Medicinalis Anhui 2022;57(5):832-836
Objective:
To construct nomogram to predict the risk of bone metastasis in patients with non-small cell lung cancer(NSCLC).
Methods:
The clinical data of NSCLC patients diagnosed in the hospital were retrospectively analyzed, including the occurrence of bone metastasis, age, gender, pathological type, smoking status, PS score, TN stage, metastasis of other sites before bone metastasis, carcinoembryonic antigen(CEA) level, alpha fetoprotein(AFP) level, serum calcium(Ca2+), serum phosphorus(P), alkaline phosphatase(ALP) level, which were determined by univariate and multivariate logistic regression analysis. Receiver operating characteristic curve(ROC) and decision curve analysis were used, DCA was used to verify the accuracy and clinical benefit of the model, and nomogram was used to visualize the model.
Results:
Area under the ROC curve(AUC) showed that in the modeling group(n=138) and the validation group(n=92), the AUC value predicted by combined indicators(age, gender, pathological type, CEA, ALP)(modeling group=0.792, validation group=0.629) was higher than that predicted by single indicator.
Conclusion
The prediction model constructed in this study has good effect and can provide reference for clinical screening of high-risk patients with bone metastasis of NSCLC.