研究目的
To develop a photoacoustically-activatable probe for drug release monitoring based on the redox chemistry of methylene blue and demonstrate its utility in live mouse models.
研究成果
The study developed a photoacoustically-activatable probe for drug release monitoring based on the blue-bottle reaction of methylene blue. The conjugated paclitaxel as well as the nanoparticle formulation with paclitaxel exhibits in vitro and in vivo cancer inhibitory effects. This approach is novel for covalently conjugating an activatable photoacoustic probe and can be used in different drug molecules with different chemistry.
研究不足
The depth of imaging is currently limited due to limited tissue penetration of 680 nm laser. Methylene blue can be modified to absorb in near infrared wavelengths to improve tissue penetration.
1:Experimental Design and Method Selection
The study utilized a covalent labeling strategy where methylene blue (MB) is linked to paclitaxel to form a photoacoustically active conjugate (PTX-MB). The redox property of the MB moiety in PTX-MB molecule was exploited to chemically reduce it to a colorless, acoustically silent leuco form (PTX-LMB) and encapsulate it inside PLGA nanocarriers.
2:Sample Selection and Data Sources
CT26 colon cancer cells labeled with luciferase were used for in vitro and in vivo studies. The drug release was monitored using photoacoustic imaging.
3:List of Experimental Equipment and Materials
Paclitaxel, Polyvinyl alcohol (PVA), polylactic-co-glycolic acid polymer (PLGA), succinic anhydride, ascorbic acid, and D,L-dithiothretol (DTT) were used. Instruments included a Vevo 2100 instrument for photoacoustic imaging and a Micromass Quattro Ultima Mass spectrometer for mass spectrometry.
4:Experimental Procedures and Operational Workflow
PTX-MB was synthesized and encapsulated in PLGA NPs. The release of PTX-MB was monitored in vitro and in vivo using photoacoustic imaging. The anticancer activity was evaluated against CT26 cells.
5:Data Analysis Methods
The photoacoustic signal was analyzed to quantify drug release. Statistical analysis used t-tests via Microsoft Excel.
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