Journal
ACS APPLIED MATERIALS & INTERFACES
Volume -, Issue -, Pages -Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsami.2c15295
Keywords
Hofmeister effect; MRI; diagnosis; therapy
Funding
- National Natural Science Foundation of China [81871334]
- Natural Science Foundation of Guangdong Province [2020A1515011066]
- Guangdong Basic and Applied Basic Research Foundation [2022A1515010373]
- Science and Technology Projects in Guangzhou [202102020145]
- President Foundation of Nanfang Hospital, Southern Medical University [2020C040]
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This study confirmed the Hofmeister effect of Fe2O3 nanoparticles within the tumor microenvironment and designed a nanocomposite FePN with robust MRI signal enhancement properties in the tumor microenvironment, offering a better visualization of tumors.
The imaging resolution of magnetic resonance imaging (MRI) is influenced by many factors. The development of more effective MRI contrast agents (CAs) is significant for early tumor detection and radical treatment, albeit challenging. In this work, the Hofmeister effect of Fe2O3 nanoparticles within the tumor microenvironment was confirmed for the first time. Based on this discovery, we designed a nanocomposite (FePN) by loading Fe2O3 nanoparticles on black phosphorus nanosheets. After reacting with glutathione, the FePN will undergo two stages in the tumor microenvironment, resulting in the robust enhancement of r1 and r2 based on the Hofmeister effect in the commonly used magnetic field (3.0 T). The glutathione-activated MRI signal of FePN was higher than most of the activatable MRI CAs, enabling a more robust visualization of tumors. Furthermore, benefiting from the long circulation time of FePN in the blood and retention time in tumors, the synergistic therapy of FePN exhibited an outstanding inhibition toward tumors. The FePN with good biosafety and biocompatibility will not only pave a new way for designing a common magnetic field-tailored T1-T2 dual-mode MRI CA but also offer a novel pattern for the accurate clinical diagnosis and therapy of tumors.
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