Back to Search
Start Over
Using Omniscan-Loaded Nanoparticles as a Tumor-Targeted MRI Contrast Agent in Oral Squamous Cell Carcinoma by Gelatinase-Stimuli Strategy
- Source :
- Nanoscale Research Letters, Vol 14, Iss 1, Pp 1-9 (2019), Nanoscale Research Letters
- Publication Year :
- 2019
- Publisher :
- SpringerOpen, 2019.
-
Abstract
- In this study, the tumor-targeted MRI contrast agent was prepared with gelatinase-stimuli nanoparticles (NPs) and Omniscan (Omn) by double emulsion method. The size, distribution, morphology, stability, drug loading, and encapsulation efficiency of Omn-NPs were characterized. The macroscopic and microscopic morphological changes of NPs in response to gelatinases (collagenases IV) were observed. The MR imaging using Omn-NPs as a contrast agent was evaluated in the oral squamous cell carcinoma models with Omn as a control. We found clear evidence that the Omn-NPs were transformed by gelatinases and the signal of T1-weighted MRI sequence showed that the tumor-to-background ratio was significantly higher in Omn-NPs than in Omn. The peak point of time after injection was much later for Omn-NPs than Omn. This study demonstrates that Omn-NPs hold great promise as MRI contrast agent with improved specificity and prolonged circulation time based on a relatively simple and universal strategy.
- Subjects :
- inorganic chemicals
Gelatinases
Materials science
MRI contrast agent
education
Nanoparticle
02 engineering and technology
010402 general chemistry
01 natural sciences
Tumor targeted
medicine
lcsh:TA401-492
Gelatinase
Omniscan
General Materials Science
Basal cell
health care economics and organizations
Nano Express
technology, industry, and agriculture
respiratory system
Tumor-targeted MRI contrast agent
021001 nanoscience & nanotechnology
Condensed Matter Physics
Molecular medicine
0104 chemical sciences
Oral squamous cell carcinoma
Collagenase
Nanoparticles
lcsh:Materials of engineering and construction. Mechanics of materials
0210 nano-technology
Gelatinase-stimuli
medicine.drug
Biomedical engineering
Subjects
Details
- Language :
- English
- ISSN :
- 19317573
- Volume :
- 14
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Nanoscale Research Letters
- Accession number :
- edsair.doi.dedup.....39b194b41861927072d375ae3d376580