Imaging moiety-directed co-assembly for biodegradation control with synchronous four-modal biotracking. (August 2022)

• Record Type: Journal Article
• Authors: Liu, Qingsong; Fu, Ye; Wu, Bin; Tang, Jingyu; Wang, Yaoben; Wu, Yanping; Zhang, Man; Shen, Shen; Shen, Yang; Gao, Caiyun; Ding, Jiandong; Zhu, Liangliang
• Is Part Of: Biomaterials. Volume 287(2022)
• Publication Date: 2022-08
• Subjects: Biomedical polymer -- Directed co-assembly -- Multi-mode imaging -- Biodegradation -- Bioinformation correlation; Biomedical materials -- Periodicals; Biocompatible Materials -- Periodicals; Biomatériaux -- Périodiques; 610.28
• DOI: 10.1016/j.biomaterials.2022.121665
• Languages: English
• ISSNs: 0142-9612

Abstract

Abstract: The complexity of existing methods for biodegradation control limits the multi-functionality of biomedical materials. It is urgent to develop simple and straightforward strategies to control the biodegradation rate with precise tracking of various parameters in real-time. Here, we show an imaging moiety-directed co-assembly strategy, in which different imaging moieties bearing non-covalent interaction sites are covalently introduced into the poly ( D, l -lactic acid) (PDLLA) chain as end groups, followed by alternate non-covalent interactions with polymer chains upon compression molding. This strategy takes advantage of a variety of bonding types (including CH–π, CH–F, etc.) to firmly integrate the PDLLA chains and strongly control the biodegradation rate, making the amorphous prototype degraded much slower than higher-molecular-weight counterparts, and the local inflammatory response is insignificant. On this basis, a synchronous four-modal (X-ray computed tomography + fluorescence + photoacoustics + ultrasound) imaging was achieved on the single entity in vivo, even within a millimeter-scale thick-skin tissue. These imaging signals can precisely correlate the multi parameter variation trend of material mass, volume and molecular weight, signifying that co-assembly can be utilized to develop advanced theranostic systems. Single sentence summary: We developed an imaging moiety-directed co-assembly strategy to control the biodegradation rate and achieve the synchronization of real-time four-modal imaging in vivo . These imaging signals can precisely correlate the multi-parameter variation trend of material mass, volume and molecular weight, which provided comprehensive biomedical information accessing both qualitatively and quantitatively. Graphical abstract: Image 1