1.Piperine inhibits Ang Ⅱ-induced cellproliferation and migration of rat airway smooth muscle cells
Cuicui LIU ; Xiaolan SHI ; Long ZHAO ; Ning WANG ; Cailing MA
Basic & Clinical Medicine 2017;37(9):1297-1302
Objective To explore the effects of piperine on cell proliferation and migration in angiotensin Ⅱ (Ang Ⅱ)-treated rat airway smooth muscle cells (ASMCs).Methods The primary ASMCs of rats were cultured by improved tissue-piece digestion inoculation and trypsin digestion.MTT assay was used to detect the effects of Ang Ⅱ and Ang Ⅱ receptor antagonist losartan on cell proliferation activity.After treatment with Ang Ⅱ and piperine, the cell proliferation activity, the cell cycle distribution and the cell migration were detected by MTT, flow cytometry and Transwell assay respectively.ERK1/2 inhibitor PD98059 and losartan were then applied to determine the expression of cyclin D1, MMP-9, p-ERK1/2, ERK1/2, and β-actin proteins by Western blot assay.Results After 24 h culture, Ang Ⅱ treatment promoted the cell proliferative activity in rat ASMCs (P<0.05), and the promotive effect of 10-7 mol/L Ang Ⅱ was the most significant.Additionally, losartan blocked the Ang Ⅱ-induced cell proliferative activity in rat ASMCs (P<0.05).10-7 mol/L Ang Ⅱ treatment resulted in the elevated cell proliferative activity, higher S phase fraction, increased migrated cell number, and enhanced expression of cyclin D1, MMP-9and p-ERK1/2 proteins (P<0.05);these effects were dose-dependently reversed by piperine.Both PD98059 and losartan blocked Ang Ⅱ-induced expression of p-ERK1/2, cyclin D1 and MMP-9 proteins in rat ASMCs.Conclusions Piperine may inhibit Ang Ⅱ-induced cell proliferation and cell migration via ERK1/2 signaling pathway in rat ASMCs.
2.Effects of HPS on Myocardial Fibrosis and Expression of MMP-2/TIMP-2 in Model Mice of Diabetic Cardiomyopathy
Dongxv WANG ; Zhisheng JIN ; Huazhi ZHANG ; Cailing HE ; Xiangping NAN ; Guizhen SHI ; Huiyuan CHU
Chinese Journal of Information on Traditional Chinese Medicine 2017;24(4):57-60
Objective To observe the effects of hedysari polysaccharide (HPS) on myocardial fibrosis and the expression of MMP-2/TIMP-2 in model mice of diabetic cardiomyopathy; To discuss the mechanism of action of prevention and treatment of myocardial fibrosis in diabetes.Methods Sixty mice were randomly divided into model group, rosiglitazone group and HPS high-, mediume- and low-dose groups. The normal group was 12 non-transgenic male BKS.Cg-Dock7m+/+Leprdb/JNjumice with the same age. Each group was given relevant medicine for gavage, for 8 weeks. Blood glucose of mice before and after medication 2, 4, 6, and 8 weeks was detected. The levels of MMP-2, MMP-2 and MMP-9 in myocardium were measured by Masson staining. The protein expressions of MMP-2 and TIMP-1 in myocardium were detected by Western blot.Results Compared with the model group, the blood glucose of HPS (high- and medium dose) groups and rosiglitazone group decreased significantly. Masson staining showed that the green fibers in the model group significantly increased and rosiglitazone group and HPS high-dose group decreased compared with the model group. Western blot showed that the expressions of MMP-2 in model group and MMP-2/TIMP-2 ratio were declined significantly, while the expression of MMP-2 was increased and TIMP-2 was decreased significantly, and the ratio of MMP-2/TIMP-2 increased in rosiglitazone group and HPS high- and medium-dose group.Conclusion HPS may reduce the degree of myocardial fibrosis in model mice with diabetic cardiomyopathy. The therapeutic effect of HPS may be to relieve myocardial fibrosis in model mice by increasing the ratio of MMP-2/TIMP-2.
3.Recognition of Early Parkinson's Disease by Machine Learning Model Based on Cortical Morphology Features
Dingcai RAO ; Cailing SHI ; Wenjun YUE
Chinese Journal of Medical Imaging 2024;32(10):994-999
Purpose To explore the application value of machine learning models based on cortical morphological features in the diagnosis of early Parkinson's disease(PD).Materials and Methods MRI and clinical data of 170 subjects from January 2014 to December 2017,including 100 early PD patients and 70 healthy controls,were selected from the Parkinson's Progression Markers Initiative database.Firstly,computational anatomy toolbox was used to preprocess the images to extract the fractal dimension(FD)and gyrification index(GI)of the cerebral cortex,and the differences of two indexes between early PD and healthy controls were compared.Then,all subjects were randomly divided into the train set and the test set with a 7∶3 ratio,and the optimal features were selected by t-test and recursive feature elimination.The classification model was constructed by random forest and evaluated by the receiver operating characteristic curve,and the decision curve analysis was used to evaluate the clinical value of the model.Results Compared to healthy controls,early PD patients had reduced GI in the bilaterally precentral gyrus,bilaterally rostral middle frontal cortex,bilaterally caudal middle frontal cortex,bilaterally triangular part of inferior frontal gyrus,bilaterally opercular part of inferior frontal gyrus,bilaterally orbital part of inferior frontal gyrus,the right superior frontal gyrus,the right lateral orbitofrontal cortex and the right insula(all P<0.05),but there was no significant difference in the FD(all P>0.05).The results of model evaluation showed that the area under curve values of the FD,the GI and the combined model in the train set were 0.860,0.895 and 0.939,respectively,and those in the test set were 0.762,0.821 and 0.868,respectively.The Hosmer-Lemeshow test showed that there was no statistically significant difference in the goodness of fit between the train and test set(all P>0.05).The decision curve analysis curve showed that clinical net benefit of the combined model was optimal when the probability threshold was in the range of 0.10 to 0.88.Conclusion In the early stages of the disease,cortical morphology of PD patients have changed.Machine learning model based on cortical morphology features has good diagnostic performance,and may be of important value in assisting clinical early diagnosis of PD.
4.Study on the Quality Regionalization of Forsythia suspensa(Thunb.)Vahl in Shanxi Province Based on MaxEnt Model and ArcGIS
Xiaoxiong SUO ; Caixia LIU ; Yimeng ZHAO ; Chenhui DU ; Lili PING ; Haixian ZHAN ; Runli HE ; Cailing SHANG ; Xiaobo ZHANG ; Tingting SHI ; Xiangping PEI
Chinese Journal of Information on Traditional Chinese Medicine 2024;31(10):1-7
Objective To establish ecological suitability zone of Forsythia suspensa(Thunb.)Vahl in Shanxi Province;To study the quality regionalization of Forsythia suspensa(Thunb.)Vahl from different producing areas in Shanxi Province;To provide reference for reasonable planting and wild tending of Forsythia suspensa(Thunb.)Vahl.Methods Maximum entropy(MaxEnt)model and ArcGIS software were used to study the ecological suitability of Forsythia suspensa(Thunb.)Vahl in Shanxi Province;By screening the main environmental factors and combining them with the content of forsythoside and forsythoside A in Forsythia suspensa(Thunb.)Vahl of different regions,a quality zoning of Forsythia suspensa Thunb.Vahl medicinal materials in Shanxi Province based on forsythoside,forsythoside A and environmental factors was constructed.Results The ecological suitable areas of Forsythia suspensa Thunb.Vahl in Shanxi Province were mainly distributed in the southern part of Shanxi Province,mainly in Linfen,Yuncheng,Changzhi,and Jincheng.The general contents of forsythoside and forsythoside A in the Forsythia suspensa(Thunb.)Vahl medicinal material were gradually reduced from southern part to northern part of Shanxi Province.The comprehensive quality was high in southern part of Shanxi Province,mainly in Linfen,Changzhi,Yuncheng and Jincheng.Conclusion The results of this study are consistent with the actual survey.The southern part of Shanxi province is a suitable planting area for high quality Forsythia suspensa(Thunb.)Vahl,which provides a reference for the standardized planting and wild tending of Forsythia suspensa(Thunb.)Vahl.