Karacoline,identified by network pharmacology, reduces degradation of the extracellular matrix in intervertebral disc degeneration via the NF-κB signaling pathway

作     者：Xiaoli Zhou Yingying Hong Yulin Zhan Xiaoli Zhou;Yingying Hong;Yulin Zhan

作者机构：Department of Traditional Chinese MedicineCollege of MedicineShanghai University of Traditional Chinese MedicineShanghai201203China Department of BiologySchool of Fisheries and Life SciencesShanghai Ocean UniversityShanghai201306China Orthopedics DepartmentShanghai Sixth People’s Hospital East Affiliated to Shanghai University of Medicine&Health ScienceShanghai201306China 

出 版 物：《Journal of Pharmaceutical Analysis》 (药物分析学报（英文版）)

年 卷 期：2020年第10卷第1期

页      面：13-22页

核心收录：

学科分类：1008[医学-中药学(可授医学、理学学位)] 1006[医学-中西医结合] 100602[医学-中西医结合临床] 10[医学] 

基　　金：supported by the Pudong New Area Science and Technology Committee of Shanghai 

主　　题：Karacoline Network pharmacology Intervertebral disc degeneration Extracellular matrix Matrix metalloproteinases 

摘      要：Karacoline is a compound found in the plant Aconitum kusnezoffii *** Aconitum kusnezoffii Reichb is widely used for the treatment of pain,very few studies have been carried out on the use of karacoline due to its potential *** this study,we selected key matrix metalloproteinases(MMPs),collagen II,and aggrecan as targets due to their association with intervertebral disc degeneration(IDD).Using these targets,we then used network pharmacology to predict a series of molecules that might exert therapeutic effects on *** these molecules,karacoline was predicted to have the best *** necrosis factor(TNF)-a is known to promote the degeneration of the extracellular matrix in *** therefore applied different concentrations of karacoline(0,1.25,or 12.88 mM)along with 100 ng/mL TNF-a to rat nucleus pulposus cells and found that karacoline reduced the expression of MMP-14 in IDD by inhibiting the nuclear factor(NF)-κB pathway,while collagen II and aggrecan expression was *** suggested that extracellular matrix degradation was inhibited by karacoline(P0.05).Our data therefore reveal a new clinical application of karacoline and provide support for the use of network pharmacology in predicting novel drugs.