摘要
The degradation of collagen in different body parts is a critical point for designing collagen-based biomedical products.Here,three kinds of collagens labeled by second near-infrared(NIR-II)quantum dots(QDs),including collagen with low crosslinking degree(LC),middle crosslinking degree(MC)and high crosslinking degree(HC),were injected into the subcutaneous tissue,muscle and joints of the mouse model,respectively,in order to investigate the in vivo degradation pattern of collagen by NIR-II live imaging.The results of NIR-II imaging indicated that all tested collagens could be fully degraded after 35 days in the subcutaneous tissue,muscle and joints of the mouse model.However,the average degradation rate of subcutaneous tissue(k=0.13)and muscle(k=0.23)was slower than that of the joints(shoulder:k=0.42,knee:k=0.55).Specifically,the degradation rate of HC(k=0.13)was slower than LC(k=0.30)in muscle,while HC showed the fastest degradation rate in the shoulder and knee joints.In summary,NIR-II imaging could precisely identify the in vivo degradation rate of collagen.Moreover,the degradation rate of collagen was more closely related to the implanted body parts rather than the crosslinking degree of collagen,which was slower in the subcutaneous tissue and muscle compared to the joints in the mouse model.
基金
supported by National Key R&D Program of China(2021YFA1201303)
National Natural Science Foundation of China(82172511,81972121,81972129,82072521,82011530023 and 82111530200)
Sanming Project of Medicine in Shenzhen(SZSM201612078)
the Introduction Project of Clinical Medicine Expert Team for Suzhou(SZYJTD201714)
Shanghai Talent Development Funding Scheme(2020080)
Shanghai Sailing Program(21YF1404100 and 22YF1405200)
Shanghai Committee of Science and Technology(22DZ2204900)
Medical Engineering Joint Fund of Fudan University(YG2022-14).
作者简介
Huizhu Li,These authors contributed equally to this work;Xinxian Meng,These authors contributed equally to this work;Huaixuan Sheng,These authors contributed equally to this work;Correspondence address:Yanglai Gao.E-mail:1811292675@qq.com;Correspondence address:Yunxia Li,iyunxia912@aliyun.com;Correspondence address:Jun Chen,biochenjun@fudan.edu.cn。
