Azo Reductase Activated Magnetic Resonance Tuning Probe with "Switch-On" Property for Specific and Sensitive Tumor Imaging in Vivo .
Peilin GuYu LiLinyao LiSiyu DengXiaokang ZhuYang SongErqun SongWeihong TanPublished in: ACS nano (2023)
Cancer remains a threat to human health. However, if tumors can be detected in the early stage, then the effectiveness of cancer treatment could be significantly improved. Therefore, it is worthwhile to develop more sensitive and accurate cancer diagnostic methods. Herein, we demonstrated an azo reductase (AzoR)-activated magnetic resonance tuning (MRET) probe with a "switch-on" property for specific and sensitive tumor imaging in vivo . Specifically, Gd-labeled DNA 1 (DNA 1 -Gd) and cyclodextrin-coated magnetic nanoparticles (MNP-CD) were employed as enhancer and quencher of MRET, respectively, while DNA 2 , an azobenzene (Azo) group-modified aptamer (AS1411), served as a linker between enhancer and quencher to construct the MRET probe of MNP@DNA (1-2) -Gd. In tumor tissues with high-level AzoR, the T 1 -weighted magnetic resonance signal of the MRET probe could be restored by intelligently regulating the switch from "OFF" to "ON" after activation with AzoR, thus accurately indicating the location of the tumor accurately. Moreover, the tumor with a 4 times smaller size than that of the normal tumor model could be imaged based on the proposed MRET probe. The as-proposed MRET-based magnetic resonance imaging strategy not only achieves tumor imaging accurately but also shows promise for early diagnosis of tumors, which might improve patients' survival rates and provide an opportunity for image-guided biomedical applications in the future.
Keyphrases
- magnetic resonance
- magnetic resonance imaging
- early stage
- high resolution
- circulating tumor
- human health
- living cells
- randomized controlled trial
- cell free
- gene expression
- systematic review
- risk assessment
- contrast enhanced
- gold nanoparticles
- transcription factor
- mass spectrometry
- artificial intelligence
- young adults
- squamous cell carcinoma
- climate change
- lymph node
- big data
- rectal cancer
- prognostic factors
- nucleic acid