Background: A major shortcoming in tissue engineered blood vessels (TEBVs) is the lack of healthy and easily attainable smooth muscle cells (SMCs). Smooth muscle progenitor cells (SPCs), especially from peripheral blo...Background: A major shortcoming in tissue engineered blood vessels (TEBVs) is the lack of healthy and easily attainable smooth muscle cells (SMCs). Smooth muscle progenitor cells (SPCs), especially from peripheral blood, may offer an alternative cell source for tissue engineering involving a less invasive harvesting technique. Methods: SPCs were isolated from 5-ml fresh rat peripheral blood by density-gradient centrifugation and cultured for 3 weeks in endothelial growth medium-2-MV (EGM-2-MV) medium containing platelet-derived growth factor-BB (PDGF BB). Before seeded on the synthesized scaffold, SPC-derived smooth muscle outgrowth cell (SOC) phenotypes were assessed by immuno-fluorescent staining, Western blot analysis, and reverse transcription polymerase chain reaction (RT-PCR). The cells were seeded onto the silk fibroin-modified poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) (SF-PHBHHx) scaffolds by 6×104 cells/cm2 and cultured under the static con- dition for 3 weeks. The growth and proliferation of the seeded cells on the scaffold were analyzed by 3-(4,5-dimethylthiazol-2-yl)- diphenyltetrazolium bromide (MTT) assay, scanning electron microscope (SEM), and 4,6-diamidino-2-phenylindole (DAPI) staining. Results: SOCs displayed specific "hill and valley" morphology, expressed the specific markers of the SMC lineage: smooth muscle (SM) α-actin, calponin and smooth muscle myosin heavy chain (SM MHC) at protein and messenger ribonucleic acid (mRNA) levels. RT-PCR results demonstrate that SOCs also expressed smooth muscle protein 22α (SM22α), a contractile protein, and extracellular matrix components elastin and matrix Gla protein (MGP), as well as vascular endothelial growth factor (VEGF). After seeded on the SF-PHBHHx scaffold, the cells showed excellent metabolic activity and proliferation. Conclusion: SPCs isolated from peripheral blood can be differentiated into the SMCs in vitro and have an impressive growth potential in the biodegradable synthesized scaffold. Thus, SPCs may be a promising cell source for constructing TEBVs.展开更多
Objective:Extreme gradient boosting(XGBoost)was used to predict the 7^(th)day efficacy of the acupoint application(AP)of Chinese herbs(Xiao Zhong Zhi Tong Tie)in patients with diarrhea.Materials and Methods:We consecu...Objective:Extreme gradient boosting(XGBoost)was used to predict the 7^(th)day efficacy of the acupoint application(AP)of Chinese herbs(Xiao Zhong Zhi Tong Tie)in patients with diarrhea.Materials and Methods:We consecutively collected medical records of patients with diarrhea nationwide on the Chun Bo Wan Xiang cloud platform from August 22 to November 5,2020.Demographic and clinical data and the fecal properties were included in this study.We established the XGBoost model to predict the 7^(th)day efficacy of AP in patients with diarrhea.The XGBoost model was evaluated using the area under the receiver operating characteristic(ROC)curve(AUC).We next compared the performance of XGBoost with that of artificial neural network(ANN),ANN+boosting,ANN+bagging,and support vector machine(SVM).Results:The XGBoost model provided a prediction accuracy of 84.86%(95%confidence interval=82.74%to 86.81%)and the ROC curve analysis showed an AUC of 0.81.The top-three variables with the highest importance are age,duration of diarrhea,and region(North).Our study revealed that XGBoost was not superior to ANN,ANN+boosting,ANN+bagging,and SVM.Conclusions:The established XGBoost model for predicting the 7^(th)day efficacy of AP in patients with diarrhea exhibited good accuracy and precision,which can be used for efficacy prediction.展开更多
基金supported by Shanghai Science Committee Fund for Key Research Project (No. 04JC14012)Fudan University Med-X Fund, China
文摘Background: A major shortcoming in tissue engineered blood vessels (TEBVs) is the lack of healthy and easily attainable smooth muscle cells (SMCs). Smooth muscle progenitor cells (SPCs), especially from peripheral blood, may offer an alternative cell source for tissue engineering involving a less invasive harvesting technique. Methods: SPCs were isolated from 5-ml fresh rat peripheral blood by density-gradient centrifugation and cultured for 3 weeks in endothelial growth medium-2-MV (EGM-2-MV) medium containing platelet-derived growth factor-BB (PDGF BB). Before seeded on the synthesized scaffold, SPC-derived smooth muscle outgrowth cell (SOC) phenotypes were assessed by immuno-fluorescent staining, Western blot analysis, and reverse transcription polymerase chain reaction (RT-PCR). The cells were seeded onto the silk fibroin-modified poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) (SF-PHBHHx) scaffolds by 6×104 cells/cm2 and cultured under the static con- dition for 3 weeks. The growth and proliferation of the seeded cells on the scaffold were analyzed by 3-(4,5-dimethylthiazol-2-yl)- diphenyltetrazolium bromide (MTT) assay, scanning electron microscope (SEM), and 4,6-diamidino-2-phenylindole (DAPI) staining. Results: SOCs displayed specific "hill and valley" morphology, expressed the specific markers of the SMC lineage: smooth muscle (SM) α-actin, calponin and smooth muscle myosin heavy chain (SM MHC) at protein and messenger ribonucleic acid (mRNA) levels. RT-PCR results demonstrate that SOCs also expressed smooth muscle protein 22α (SM22α), a contractile protein, and extracellular matrix components elastin and matrix Gla protein (MGP), as well as vascular endothelial growth factor (VEGF). After seeded on the SF-PHBHHx scaffold, the cells showed excellent metabolic activity and proliferation. Conclusion: SPCs isolated from peripheral blood can be differentiated into the SMCs in vitro and have an impressive growth potential in the biodegradable synthesized scaffold. Thus, SPCs may be a promising cell source for constructing TEBVs.
基金financially supported by the Fundamental Research Funds for the Central public welfare research institutes(ZZ13-024-4)。
文摘Objective:Extreme gradient boosting(XGBoost)was used to predict the 7^(th)day efficacy of the acupoint application(AP)of Chinese herbs(Xiao Zhong Zhi Tong Tie)in patients with diarrhea.Materials and Methods:We consecutively collected medical records of patients with diarrhea nationwide on the Chun Bo Wan Xiang cloud platform from August 22 to November 5,2020.Demographic and clinical data and the fecal properties were included in this study.We established the XGBoost model to predict the 7^(th)day efficacy of AP in patients with diarrhea.The XGBoost model was evaluated using the area under the receiver operating characteristic(ROC)curve(AUC).We next compared the performance of XGBoost with that of artificial neural network(ANN),ANN+boosting,ANN+bagging,and support vector machine(SVM).Results:The XGBoost model provided a prediction accuracy of 84.86%(95%confidence interval=82.74%to 86.81%)and the ROC curve analysis showed an AUC of 0.81.The top-three variables with the highest importance are age,duration of diarrhea,and region(North).Our study revealed that XGBoost was not superior to ANN,ANN+boosting,ANN+bagging,and SVM.Conclusions:The established XGBoost model for predicting the 7^(th)day efficacy of AP in patients with diarrhea exhibited good accuracy and precision,which can be used for efficacy prediction.