Quantification of rhBMP2 in bioactive bone materials

作     者：Huan Lian Han Wang Qianqian Han Chunren Wang 

作者机构：Division of BiomaterialsDepartment of Medical DevicesNational Institutes for Food and Drug ControlNo.31 Huatuo RoadBeijing 102629China 

出 版 物：《Regenerative Biomaterials》 (再生生物材料（英文版）)

年 卷 期：2020年第7卷第1期

页      面：71-75页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 08[工学] 0836[工学-生物工程] 

基　　金：This work was supported by the China National keypoint research and invention program of the thirteenth(Project ID:2016YFC1102304) 

主　　题：rhBMP-2 bioactivity quantification statistical model fitting R programming 

摘      要：Bone morphogenetic protein(BMP),belongs to transforming growth factor-b(TGF-b)superfamily except *** BMP into muscular tissues induces ectopic bone formation at the site of implantation,which provides opportunity for the treatment of bone *** human BMP-2(rhBMP-2)has been used clinically,but the lack of standard methods for quantifying rhBMP-2 biological activity greatly hindered the progress of *** this article,we describe an in vitro rhBMP-2 quantification method,as well as the data analyzation pipeline through logistic regression in *** studies indicated that alkaline phosphatase(ALP)activity of C2C12 cells was significantly increased when exposed to rhBMP-2,and showed dose-dependent effects in a certain concentration range of ***,we chose to quantify ALP activity as an indicator of rhBMP-2 bioactivity in vitro.A sigmoid relationship between the ALP activity and concentration of rhBMP-2 was ***,there are tons of regression models for such a non-linear *** has always been a major concern for researchers to choose a proper model that not only fit data accurately,but also have parameters representing practical ***,to fit our rhBMP-2 quantification data,we applied two logistic regression models,three-parameter log-logistic model and four-parameter log-logistic *** four-parameter log-logistic model(adj-R20.98)fits better than three-parameter log-logistic model(adj-R20.75)for the sigmoid ***,our results indicate rhBMP-2 quantification in vitro can be accomplished by detecting ALP activity and fitting four-parameter log-logistic ***,we also provide a highly adaptable R script for any additional logistic models.