Journal
BIOMATERIALS
Volume 230, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2019.119631
Keywords
Susceptibility weighted imaging; Fe3O4 nanoparticles; Magnetic susceptibility; Biodistribution; Metabolism pathway
Funding
- National Funds for Distinguished Young Scientists [51725202]
- Key Project of Shanghai Science and Technology Commission [19JC1412000]
- National Natural Science Foundation of China [51872094, 81974274]
- National Science Foundation for the Young Scientists of China [51702211]
- National Key RAMP
- D Program of China [2018YFA0107900]
- Collaborative Innovation Center of Technology and Equipment for Biological Diagnosis and Therapy in Universities of Shandong
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Accurate and noninvasive monitoring of nanoparticles' (NPs) distribution and metabolism in organism is important, especially for NPs at low-dosage, but remains challenging due to the insufficient sensitivity and resolution of the existing imaging techniques. Herein, Fe3O4 NPs with different sizes were synthesized for low-dosage NPs' metabolism study with susceptibility weighted imaging (SWI) technique. SWI, as a functional MRI technique with phase postprocessing, can sensitively detect the differences of magnetic susceptibilities between tissues, so can measure the Fe3O4 contents even at low dosage in tissues. After in vivo intravenous injection, Fe3O4 NPs could be visually distinguished in major organs (kidney, liver, spleen) by SWI, and the corresponding content changes over time were also sensitively detected, but cannot be achieved via the conventional T-2-weighted imaging (T2WI). With the SWI technique, the metabolic pathways of Fe3O4 NPs in body were mapped, revealing the critical dependence on the sizes of NPs. This is significant for the assessment of NPs' metabolic time, toxicity risk, and application potentiality. Undoubtedly, SWI is a powerful tool for real-time metabolism low-dose NPs with designed characteristics (shapes, sizes, surface properties, etc.), and noninvasive detection of targets with magnetic nano-sensors in vivo.
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