The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Engineered Iron-Oxide-Based Nanoparticles as Enhanced T1 Contrast Agents for Efficient Tumor Imaging
Open accessAbstract
We report the design and synthesis of small-sized zwitterion-coated gadolinium-embedded iron oxide (GdIO) nanoparticles, which exhibit a strong T1 contrast effect for tumor imaging through enhanced permeation and retention effect and the ability to clear out of the body in living subjects. The combination of spin-canting effects and the collection of gadolinium species within small-sized GdIO nanoparticles led to a significantly enhanced T1 contrast effect. For example, GdIO nanoparticles with a diameter of ∼4.8 nm exhibited a high r1 relaxivity of 7.85 mM(-1)·S(-1) and a low r2/r1 ratio of 5.24. After being coated with zwitterionic dopamine sulfonate molecules, the 4.8 nm GdIO nanoparticles showed a steady hydrodynamic diameter (∼5.2 nm) in both PBS buffer and fetal bovine serum solution, indicating a low nonspecific protein absorption. This study provides a valuable strategy for the design of highly sensitive iron-oxide-based T1 contrast agents with relatively long circulation half-lives (∼50 min), efficient tumor passive targeting (SKOV3, human ovarian cancer xenograft tumor as a model), and the possibility of rapid renal clearance after tumor imaging.
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Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
Factors affecting the clearance and biodistribution of polymeric nanoparticles
Alexis, F., Pridgen, E., Molnar, L. K., & Farokhzad, O. C. (2008) · Molecular Pharmaceutics · doi:10.1021/mp800051m · Cited by 3,699
Longmire, M., Choyke, P. L., & Kobayashi, H. (2008) · Nanomedicine · doi:10.2217/17435889.3.5.703 · Cited by 2,149
Nanoparticle Size and Surface Chemistry Determine Serum Protein Adsorption and Macrophage Uptake
Walkey, C. D., Olsen, J. B., Guo, H., Emili, A., & Chan, W. C. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja2084338 · Cited by 1,926
Multifunctional Magnetic Nanoparticles: Design, Synthesis, and Biomedical Applications
Gao, J., Gu, H., & Xu, B. (2009) · Accounts of Chemical Research · doi:10.1021/ar9000026 · Cited by 1,907
Self-citationMultifunctional magnetic nanoparticles for targeted imaging and therapy
MCCARTHY, J., & WEISSLEDER, R. (2008) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2008.03.014 · Cited by 892
Design considerations for tumour-targeted nanoparticles
Choi, H. S., Liu, W., Liu, F., Nasr, K., Misra, P., Bawendi, M. G., & Frangioni, J. V. (2010) · Nature Nanotechnology · doi:10.1038/nnano.2009.314 · Cited by 754
Tromsdorf, U. I., Bruns, O. T., Salmen, S. C., Beisiegel, U., & Weller, H. (2009) · Nano Letters · doi:10.1021/nl902715v · Cited by 396
Neuwelt, E. A., Hamilton, B. E., Varallyay, C. G., Rooney, W. R., Edelman, R. D., Jacobs, P. M., & Watnick, S. G. (2009) · Kidney International · doi:10.1038/ki.2008.496 · Cited by 267
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Wang, X., Zhong, X., Li, J., Liu, Z., & Cheng, L. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00461h · Cited by 509
Self-citationKandasamy, G., & Maity, D. (2015) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2015.10.058 · Cited by 422
Wu, W., Jiang, C. Z., & Roy, V. A. L. (2016) · Nanoscale · doi:10.1039/c6nr07542h · Cited by 417
Zhou, M., Li, J., Liang, S., Sood, A. K., Liang, D., & Li, C. (2015) · ACS Nano · doi:10.1021/acsnano.5b02635 · Cited by 324
Magnetic Nanostructures: Rational Design and Fabrication Strategies toward Diverse Applications
Wang, S., Xu, J., Li, W., Sun, S., Gao, S., & Hou, Y. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00370 · Cited by 129
Multimodality imaging in nanomedicine and nanotheranostics
Li, X., Li, X., Zhang, X.-N., Li, X.-D., Chang, J., Zhang, X.-N., Li, X.-D., & Chang, J. (2016) · Cancer Biology & Medicine · doi:10.20892/j.issn.2095-3941.2016.0055 · Cited by 126
Metadata
- Authors
- Zhou, Z., Wang, L., Chi, X., Bao, J., Yang, L., Zhao, W., Chen, Z., Wang, X., Chen, X., & Gao, J.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-03-14
- Volume
- 7
- Issue
- 4
- Pages
- 3287-3296
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2079679540
- Cited by
- 249
- References
- 9
- FWCI
- 10.80
- Type
- journal article
- Language
- en
- Open access
- green
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