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Published on: November 25, 2013
Displaying In Vivo "Assembly-Disassembly" Cascade with "Off-On-Off" Magnetic Resonance Imaging Signals in Tumor
Hai-Dong Xu1, Xianbao Sun1, Zheng Huang2
1State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 211189, China.
Abstract:
"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 (Gd-AD) to display an in vivo "Assembly-Disassembly" cascade via T1-weighted "Off-On-Off" 1H magnetic resonance imaging (MRI) signals. Under reduction conditions, Gd-AD undergoes a CBT-Cys click reaction to assemble into a Gd nanoparticle, with enhanced 1H 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 1H 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 (Gd-A), which responds to reduction and ENTK to assemble into a Gd nanoparticle with "Off-On" 1H MRI signals, is designed and studied in parallel. During 1 h tumor imaging, while Gd-A only displays "Off-On" 1H MRI signals, Gd-AD 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.
Insights
Researchers developed a novel gadolinium probe for real-time in vivo monitoring of tumor theranostics. This probe visualizes the "Assembly-Disassembly" cascade using magnetic resonance imaging (MRI), overcoming previous limitations in dynamic monitoring.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Medical Imaging
Background:
- The "Assembly-Disassembly" cascade is crucial for tumor theranostics but lacks real-time in vivo monitoring capabilities.
- Existing methods struggle to balance penetration depth and real-time tracking of dynamic processes.
- Integrating both features for in vivo cascade visualization remains an unmet challenge.
Purpose of the Study:
- To develop a novel gadolinium (Gd) probe for real-time in vivo monitoring of the "Assembly-Disassembly" cascade in tumor theranostics.
- To achieve integrated real-time display of dynamic cascade processes in a living organism using MRI.
- To overcome the limitations of current theranostic monitoring strategies.
Main Methods:
- Development of a Gd probe, Cys(StBu)-Asp-Asp-Asp-Asp-Lys-Lys(DOTA(Gd))-CBT (Gd-AD), for T1-weighted 1H magnetic resonance imaging (MRI).
- Utilizing a CBT-Cys click reaction for nanoparticle assembly under reduction conditions.
- Employing enterokinase (ENTK) cleavage for nanoparticle disassembly.
- Comparative study with a scrambled control probe (Gd-A) for validation.
Main Results:
- Gd-AD demonstrated an "Off-On-Off" T1-weighted 1H MRI signal change reflecting the "Assembly-Disassembly" cascade in vitro and in vivo.
- Assembly led to enhanced MRI signals (59.3% in cells, 25.4% in tumors); disassembly decreased signals (23.4% in cells, 15.2% in tumors).
- Gd-AD clearly showed "Off-On-Off" signals during 1-hour tumor imaging, unlike the control Gd-A's "Off-On" signals.
Conclusions:
- The developed Gd-AD probe enables real-time in vivo visualization of the "Assembly-Disassembly" cascade in tumor theranostics.
- This strategy integrates penetration depth and real-time monitoring, addressing a critical gap in current theranostic approaches.
- The findings offer a promising platform for optimizing nanodrug-based tumor theranostics through dynamic cascade monitoring.
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