Reduction-active Fe3O4-loaded micelles with aggregation- enhanced MRI contrast for differential diagnosis of Neroglioma
| Autor: | Ya-Wen Ao, Bo Wu, Cai-Xia Wang, Kai Deng, Caiju Zhang, Bin Hu, Shi-Wen Huang, Hao Mei, Haibo Xu, Shu-Ting Lu, Huan Wang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Pathology
medicine.medical_specialty Biophysics Bioengineering 02 engineering and technology Micelle Biomaterials 03 medical and health sciences Characterization methods In vivo Glioma Biopsy medicine Grading (tumors) 030304 developmental biology 0303 health sciences medicine.diagnostic_test business.industry Magnetic resonance imaging 021001 nanoscience & nanotechnology medicine.disease Mechanics of Materials Ceramics and Composites Differential diagnosis 0210 nano-technology business |
| Zdroj: | Biomaterials. 268:120531 |
| ISSN: | 0142-9612 |
| DOI: | 10.1016/j.biomaterials.2020.120531 |
| Popis: | Differential diagnosis between inflammatory mass and malignant glioma is of great significance to patients, which is the basis for developing accurate individualized treatment. Due to the lack of non-invasive imaging characterization methods in the clinical application, the current diagnosis grading of glioma mainly depended on the pathological biopsy, which is complicated and risky. This study aims to develop a non-invasive imaging differential diagnosis method of glioma based on the reduction activated strategy of intracellular aggregation of sensitive superparamagnetic Fe3O4 nanoparticles (SIONPs). In vitro and in vivo magnetic resonance imaging results indicated that SIONPs could specifically increase the T2 relaxation rate and enhance MR imaging in tumor with redox microenvironment by the response-aggregation in the tumorous site. In vivo experiments also demonstrate that the substantial improvement of T2-weighted imaging contrast could be used to differentiate inflammatory mass and malignant glioma. The reduction-active MR imaging contrast agent offers a new paradigm for designing "smart" MR imaging probes of differential diagnosis of the tumor. |
| Databáze: | OpenAIRE |
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