Displaying In Vivo “Assembly–Disassembly” Cascade with “Off–On–Off” Magnetic Resonance Imaging Signals in Tumor
"Assembly-Disassembly" cascade has been utilized as a highly effective approach for tumor theranostics, but its real-time in vivo monitoring remains challenging. Current strategies face a fundamental trade-off between penetration depth and real-time nature, while there is still no report on integrating both features to display this dynamic cascade in a living organism. In this work, we develop a gadolinium (Gd) probe Cys(StBu)-Asp-Asp-Asp-Asp-Lys-Lys(DOTA(Gd))-CBT (<b>Gd-AD</b>) to display an in vivo "Assembly-Disassembly" cascade via T<sub>1</sub>-weighted "Off-On-Off" <sup>1</sup>H magnetic resonance imaging (MRI) signals. Under reduction conditions, <b>Gd-AD</b> undergoes a CBT-Cys click reaction to assemble into a Gd nanoparticle, with enhanced <sup>1</sup>H MRI signals of 59.3% and 25.4% in cells and in tumors, respectively ("Off-On"). Upon enterokinase (ENTK) cleavage, the nanoparticle disassembles, rendering decreased <sup>1</sup>H MRI signals of 23.4% and 15.2% in cells and in tumors, respectively ("On-Off"). A scrambled control probe Asp-Asp-Asp-Asp-Lys-Cys(StBu)-Lys(DOTA(Gd))-CBT (<b>Gd-A</b>), which responds to reduction and ENTK to assemble into a Gd nanoparticle with "Off-On" <sup>1</sup>H MRI signals, is designed and studied in parallel. During 1 h tumor imaging, while <b>Gd-A</b> only displays "Off-On" <sup>1</sup>H MRI signals, <b>Gd-AD</b> clearly shows "Off-On-Off" signals to reflect the "Assembly-Disassembly" cascade of Gd nanoparticles in tumor. We expect that our strategy of real-time display of in vivo "Assembly-Disassembly" cascade could help people to optimize their nanodrug-based tumor theranostics in the near future.
Authors
- Jiayu Li (ORCID: https://orcid.org/0009-0002-6625-6167)
- Xianbao Sun (ORCID: https://orcid.org/0000-0003-1120-3623)
- Gaolin Liang (ORCID: https://orcid.org/0000-0002-6159-9999)
- Xinxing Fu (ORCID: https://orcid.org/0000-0001-9630-7928)
- Ziwen Wei
- Haidong Xu (ORCID: https://orcid.org/0000-0003-0344-6772)
- Zheng Huang (ORCID: https://orcid.org/0000-0001-5590-3328)
- Junchao Qian (ORCID: https://orcid.org/0000-0003-0755-4885)
- Xiaotong Cheng
Institutions
- University of Science and Technology of China (CN)
- Digital Science (United States) (US)
- State Key Laboratory of Digital Medical Engineering (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Journal of the American Chemical Society
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1021/jacs.5c06634
- Citations
- 17
- Primary Topic
- Micro and Nano Robotics
- Type
- article
- Field-Weighted Citation Impact
- 21.39
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Jiangsu Province
- Southeast University
- National Key Research and Development Program of China