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Multi-mode biodegradable tumour-microenvironment sensitive nanoparticles for targeted breast cancer imaging
Zhenhui Nie1, Ningbin Luo1, Junjie Liu2
1Department of Radiology, Affiliated Tumour Hospital of Guangxi Medical University, No 71, Hedi Road, Nanning, 530021, Guangxi, People's Republic of China.
Nanoscale Research Letters
|April 17, 2020
Summary
Researchers developed a novel nanoparticle system that generates carbon dioxide (CO2) gas in acidic tumor tissues. This system enhances multi-modal imaging (MR/US/fluorescence) for improved tumor visualization and diagnosis.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Medical Imaging
Background:
- Gas-filled ultrasound (US) contrast agents face limitations due to gas instability and overflow, hindering effective US imaging.
- Developing advanced contrast agents is crucial for improving diagnostic accuracy in various medical imaging modalities.
Purpose of the Study:
- To develop an injectable, multi-modal imaging system capable of generating gas in situ for enhanced tumor visualization.
- To create a pH-responsive nanoparticle (NP) system for simultaneous MR, US, and fluorescence imaging of tumors.
Main Methods:
- Synthesized injectable nanoparticles incorporating Fe3O4 (MR negative contrast agent), Cy5.5 (fluorescent dye), and Na2CO3 (CO2 releasing donor).
- Evaluated the nanoparticles' ability to generate CO2 gas in acidic tumor microenvironments.
- Assessed the performance of the developed system in MR, US, and fluorescence imaging of tumor tissues.
Main Results:
- The nanoparticles continuously generated carbon dioxide (CO2) gas in acidic tumor tissue.
- The CO2 generation resulted in a strong echo signal under ultrasonic imaging.
- The system demonstrated excellent performance in MR and fluorescence imaging, providing effective multi-modal tumor visualization.
Conclusions:
- The developed pH-responsive nanoparticle system effectively integrates MR, US, and fluorescence imaging capabilities.
- This multi-modal imaging approach offers a promising strategy for enhanced tumor detection and diagnosis.
- The study provides a valuable reference for the development of advanced contrast agents for multi-modal tumor imaging.

