1.Clinical significance of soluble CD30/CD30L and CD40/CD40L system imbalance in ovarian serous tumors
Hongfen NI ; Juanfang SONG ; Yuehong WU ; Junmei ZHU ; Aiying CHENG
Chinese Journal of Endocrine Surgery 2016;10(3):225-227
Objective To investigate clinical significance of soluble CD30/CD30L and CD40/CD40L system imbalance in ovarian serous tumors.Methods 40 patients of serous cystadenoma and 30 patients of serous cystadenocarcinoma were selected,and 40 age-and weight-matched healthy women were also recruited as the control group.Peripheral venous blood (3 ml) of the healthy control and patients with ovarian serous tumors before surgery and 7 days after surgery were collected.After separation of serum,ELISA was used to detect levels of sCD30,sCD30L,sCD40 and sCD40L.Results Compared to the control group,levels of sCD30,sCD30L,sCD40 and sCD40L in both serous cystadenoma and serous cystadenocarcinoma groups were significantly in creased (P<0.05).And in those serous cystadenocarcinoma group,levels of such soluble proteins were much higher than in serous cystadenoma group (P<0.05).7 days after surgery,levels of such soluble proteins were significantly decreased in both serous cystadenoma and serous cystadenocarcinoma groups (P<0.05).Conclusion Detection of serum sCD30/sCD30L and sCD40/sCD40L is possible to have a certain guiding significance to early diagnosis of ovarian tumors and the prognosis of patients.
2.Risk factor analysis of carbapenem-resistant enterobacteriaceae infection based on machine learning
Chunhai XIAO ; Shuang LIANG ; Xianglu LIU ; Juanfang WU ; Huimin MA ; Shan ZHONG
International Journal of Laboratory Medicine 2024;45(1):79-83
Objective To explore the machine learning model and risk factor analysis for hospital infection caused by carbapenem-resistant enterobacteriaceae(CRE).Methods The clinical data of totally 451 patients infected with extended-spectrum β-lactamases(ESBL)producing Enterobacteriaceae treated in the hospital from 2018 to 2022 were retrospectively collected.The patients were divided into CRE group(115 cases)and sensitive group(336 cases)according to the susceptibility of carbapenem.Four machine learning methods in-cluding Logistic regression analysis,random forest,support vector machine,and neural network were used to build prediction models and receiver operating characteristic curve was used to evaluate.Based on the predic-tion model with the best performance,risk factors for CRE infection were analyzed.Results Random forest model had the best performance,with the area under the curve of 0.952 3.The risk factors for predicting CRE infection by the random forest model included 15 clinical data items,namely fever for more than 3 days,cere-bral injury,drainage fluid sample,trunk surgery,first-level or special-level nursing,ICU treatment,procalcito-nin,anti-anaerobic bacteria,the use of third-generation cephalosporins,age,pre-albumin,creatinine,white blood cell count,and albumin.Conclusion The CRE prediction model developed in this study has good predic-tive value and the risk factors have guiding significance for the early prevention and treatment of CRE infec-tion in clinical practice.
3. Antibacterial effectiveness of calcium silicate-based root canal sealer against Enterococcus faecalis biofilms in infected dentinal tubules in vitro
Tianfeng DU ; Laidi WU ; Xuezhi TANG ; Qi SHI ; Kang GAN ; Juanfang ZHU ; Yingguang CAO
Chinese Journal of Stomatology 2019;54(10):656-661
Objective:
To evaluate the antiseptic effect of combined using of 5% sodium hypochlorite and calcium silicate-based root canal sealer against
4.A smart dual-drug nanosystem based on co-assembly of plant and food-derived natural products for synergistic HCC immunotherapy.
Bingchen ZHANG ; Jiali JIANG ; Pengyu WU ; Junjie ZOU ; Jingqing LE ; Juanfang LIN ; Chao LI ; Bangyue LUO ; Yongjie ZHANG ; Rui HUANG ; Jingwei SHAO
Acta Pharmaceutica Sinica B 2021;11(1):246-257
Nanotechnology has emerged as an ideal approach for achieving the efficient chemo agent delivery. However, the potential toxicity and unclear internal metabolism of most nano-carriers was still a major obstacle for the clinical application. Herein, a novel "core‒shell" co-assembly carrier-free nanosystem was constructed based on natural sources of ursolic acid (UA) and polyphenol (EGCG) with the EpCAM-aptamer modification for hepatocellular carcinoma (HCC) synergistic treatment. As the nature products derived from food-plant, UA and EGCG had good anticancer activities and low toxicity. With the simple and "green" method, the nanodrugs had the advantages of good stability, pH-responsive and strong penetration of tumor tissues, which was expected to increase tumor cellular uptake, long circulation and effectively avoid the potential defects of traditional carriers. The nanocomplex exhibited the low cytotoxicity in the normal cells