1.Preparation of collagen-binding domain-bone morphogenetic protein 2-collagen cartilage scaffold and its chondrogenic induction
Buyu WANG ; Yong ZHANG ; Shiqiang RUAN ; Jiang DENG
Chinese Journal of Tissue Engineering Research 2024;28(15):2378-2384
BACKGROUND:Natural bone morphogenetic protein 2 disperses and degrades rapidly in vivo,reducing local concentration and therapeutic efficacy.Simply combining bone morphogenetic protein 2 with tissue engineering scaffolds could not stay in vivo for a long time,making it difficult to achieve good sustained and controlled release effects.OBJECTIVE:To prepare and test the biological properties and chondrogenic induction effect of collagen-binding domain-bone morphogenetic protein 2-collagen cartilage scaffold.METHODS:SD rat tail collagen was extracted and a collagen cartilage scaffold was prepared using a vacuum freeze-drying machine chemical crosslinking method.The plasmid expressing collagen-binding domain-bone morphogenetic protein 2 was constructed by rapid cloning C112 homologous recombination,constructed by genetic engineering,and introduced into E.coli,and then collagen-binding domain-bone morphogenetic protein 2 was isolated and purified.Natural bone morphogenetic protein 2 and collagen-binding domain-bone morphogenetic protein 2 were combined with collagen cartilage scaffolds,respectively,to detect the release level of bone morphogenetic protein 2 in the scaffolds.The biocompatibility of collagen-binding domain-bone morphogenetic protein 2-collagen cartilage scaffold was detected by CCK-8 assay and F-Actin staining.Bone marrow mesenchymal stem cells were implanted on two kinds of collagen cartilage scaffolds for chondrogenic induction,and their chondrogenic induction activity was tested.RESULTS AND CONCLUSION:(1)The binding rate of collagen-binding domain-bone morphogenetic protein 2 to collagen cartilage scaffolds was higher than that of natural bone morphogenetic protein 2(P<0.05).After being immersed in PBS for 7 days in vitro,the release of bone morphogenetic protein 2 in the collagen-binding domain bone morphogenetic protein 2-collagen cartilage scaffold was smaller than that in the natural bone morphogenetic protein 2-collagen cartilage scaffold(P<0.05).The results of the CCK-8 assay and F-Actin staining showed that the collagen-binding domain-bone morphogenetic protein 2-collagen cartilage scaffold had no obvious cytotoxicity and had good biocompatibility.(2)After 14 days of chondrogenic induction,ELISA detection demonstrated that the expressions of agglutincan and type Ⅱ collagen A1 in the collagen-binding domain-bone morphogenetic protein 2-collagen cartilage scaffold group were higher than those in the natural bone morphogenetic protein 2-collagen cartilage scaffold group(P<0.05).Under scanning electron microscopy,more bone marrow mesenchymal stem cells were observed on the inner wall of the pores of the two groups of scaffolds,and the cell morphology and size were the same,and the cells were closely arranged,without cell fragmentation or abnormal morphology.(3)The results indicate that the collagen-binding domain-bone morphogenetic protein 2-collagen cartilage scaffold has good biological properties and chondrogenic induction activity.
2.Development of a prediction model to identify undiagnosed chronic obstructive pulmonary disease patients in primary care settings in China
Buyu ZHANG ; Dong SUN ; Hongtao NIU ; Fen DONG ; Jun LYU ; Yu GUO ; Huaidong DU ; Yalin CHEN ; Junshi CHEN ; Weihua CAO ; Ting YANG ; Canqing YU ; Zhengming CHEN ; Liming LI
Chinese Medical Journal 2023;136(6):676-682
Background::At present, a large number of chronic obstructive pulmonary disease (COPD) patients are undiagnosed in China. Thus, this study aimed to develop a simple prediction model as a screening tool to identify patients at risk for COPD.Methods::The study was based on the data of 22,943 subjects aged 30 to 79 years and enrolled in the second resurvey of China Kadoorie Biobank during 2012 and 2013 in China. We stepwisely selected the predictors using logistic regression model. Then we tested the model validity through P-P graph, area under the receiver operating characteristic curve (AUROC), ten-fold cross validation and an external validation in a sample of 3492 individuals from the Enjoying Breathing Program in China.Results::The final prediction model involved 14 independent variables, including age, sex, location (urban/rural), region, educational background, smoking status, smoking amount (pack-years), years of exposure to air pollution by cooking fuel, family history of COPD, history of tuberculosis, body mass index, shortness of breath, sputum and wheeze. The model showed an area under curve (AUC) of 0.72 (95% confidence interval [CI]: 0.72-0.73) for detecting undiagnosed COPD patients, with the cutoff of predicted probability of COPD=0.22, presenting a sensitivity of 70.13% and a specificity of 62.25%. The AUROC value for screening undiagnosed patients with clinically significant COPD was 0.68 (95% CI: 0.66-0.69). Moreover, the ten-fold cross validation reported an AUC of 0.72 (95% CI: 0.71-0.73), and the external validation presented an AUC of 0.69 (95% CI: 0.68-0.71).Conclusion::This prediction model can serve as a first-stage screening tool for undiagnosed COPD patients in primary care settings.