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Self-Reporting Molecular Prodrug for In Situ Quantitative Sensing of Drug Release by Ratiometric Photoacoustic Imaging.
- Source :
-
ACS sensors [ACS Sens] 2023 Dec 22; Vol. 8 (12), pp. 4737-4746. Date of Electronic Publication: 2023 Nov 26. - Publication Year :
- 2023
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Abstract
- Understanding the pharmacokinetics of prodrugs in vivo necessitates quantitative, noninvasive, and real-time monitoring of drug release, despite its difficulty. Ratiometric photoacoustic (PA) imaging, a promising deep tissue imaging technology with a unique capacity for self-calibration, can aid in solving this problem. Here, for the first time, a methylamino-substituted Aza-BODIPY (BDP-N) and the chemotherapeutic drug camptothecin (CPT) are joined via a disulfide chain to produce the molecular theranostic prodrug (BSC) for real-time tumor mapping and quantitative visualization of intratumoral drug release using ratiometric PA imaging. Intact BSC has an extremely low toxicity, with a maximum absorption at ∼720 nm; however, endogenous glutathione (GSH), which is overexpressed in tumors, will cleave the disulfide bond and liberate CPT (with full toxicity) and BDP-N. This is accompanied by a significant redshift in absorption at ∼800 nm, resulting in the PA <subscript>800</subscript> /PA <subscript>720</subscript> ratio. In vitro , a linear relationship is successfully established between PA <subscript>800</subscript> /PA <subscript>720</subscript> values and CPT release rates, and subsequent experiments demonstrate that this relationship can also be applied to the quantitative detection of intratumoral CPT release in vivo . Notably, the novel ratiometric strategy eliminates nonresponsive interference and amplifies the multiples of the signal response to significantly improve the imaging contrast and detection precision. Therefore, this research offers a viable alternative for the design of molecular theranostic agents for the clinical diagnosis and treatment of tumors.
Details
- Language :
- English
- ISSN :
- 2379-3694
- Volume :
- 8
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- ACS sensors
- Publication Type :
- Academic Journal
- Accession number :
- 38008917
- Full Text :
- https://doi.org/10.1021/acssensors.3c01824