研究目的
To develop a biodegradable, tumor-targeted magnetic resonance imaging contrast agent based on an aptamer-conjugated polyrotaxane structure for enhanced imaging performance and biosafety.
研究成果
The developed AS1411-G2(DTPA-Gd)-SS-PR contrast agent exhibits high relaxivity, biodegradability, excellent biocompatibility, and effective tumor targeting, making it a promising candidate for clinical MRI applications with reduced toxicity risks.
研究不足
The study is limited to in vitro and animal models (mice), and clinical translation would require further validation. The biodegradability was tested with DTT, which may not fully replicate in vivo conditions. Long-term toxicity and efficacy in humans are not assessed.
1:Experimental Design and Method Selection:
The study involved designing and synthesizing a polyrotaxane-based MRI contrast agent with disulfide linkages for biodegradability and AS1411 aptamer conjugation for tumor targeting. Methods included host-guest complexation, click chemistry, and EDC/NHS coupling.
2:Sample Selection and Data Sources:
Materials such as α-cyclodextrin, PEG, gadolinium chloride, and AS1411 oligonucleotide were used. In vitro studies used MCF-7 breast cancer cells, and in vivo studies used MCF-7 tumor-bearing nude mice.
3:List of Experimental Equipment and Materials:
Equipment included NMR spectrometers, MRI scanners (
4:5 T small animal magnetic resonance imager), dialysis tubes, and centrifugal filters. Materials included chemicals from Sigma-Aldrich, J&K Co. Ltd., and others as listed. Experimental Procedures and Operational Workflow:
Synthesis steps involved preparing pseudopolyrotaxane, capping with Z-tyrosine, functionalizing with alkynyl groups, coupling with lysine dendron and DTPA, chelating with Gd, conjugating AS1411, and purification. Relaxivity measurements, degradation studies with DTT, cytotoxicity assays (WST), histological assessments (H&E staining), and in vivo MRI were performed.
5:Data Analysis Methods:
Data were analyzed using OriginPro 9.0 for statistical analysis, with results presented as mean ± SD. ImageJ software was used for signal intensity analysis in MRI studies.
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