The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Lipid‐based nanoparticles for contrast‐enhanced MRI and molecular imaging
Abstract
In the field of MR imaging and especially in the emerging field of cellular and molecular MR imaging, flexible strategies to synthesize contrast agents that can be manipulated in terms of size and composition and that can be easily conjugated with targeting ligands are required. Furthermore, the relaxivity of the contrast agents, especially for molecular imaging applications, should be very high to deal with the low sensitivity of MRI. Lipid‐based nanoparticles, such as liposomes or micelles, have been used extensively in recent decades as drug carrier vehicles. A relatively new and promising application of lipidic nanoparticles is their use as multimodal MR contrast agents. Lipids are amphiphilic molecules with both a hydrophobic and a hydrophilic part, which spontaneously assemble into aggregates in an aqueous environment. In these aggregates, the amphiphiles are arranged such that the hydrophobic parts cluster together and the hydrophilic parts face the water. In the low concentration regime, a wide variety of structures can be formed, ranging from spherical micelles to disks or liposomes. Furthermore, a monolayer of lipids can serve as a shell to enclose a hydrophobic core. Hydrophobic iron oxide particles, quantum dots or perfluorocarbon emulsions can be solubilized using this approach. MR‐detectable and fluorescent amphiphilic molecules can easily be incorporated in lipidic nanoparticles. Furthermore, targeting ligands can be conjugated to lipidic particles by incorporating lipids with a functional moiety to allow a specific interaction with molecular markers and to achieve accumulation of the particles at disease sites. In this review, an overview of different lipidic nanoparticles for use in MRI is given, with the main emphasis on Gd–based contrast agents. The mechanisms of particle formation, conjugation strategies and applications in the field of contrast‐enhanced, cellular and molecular MRI are discussed. Copyright © 2006 John Wiley & Sons, Ltd.
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Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111
Angiogenesis in cancer and other diseases
Carmeliet, P., & Jain, R. K. (2000) · Nature · doi:10.1038/35025220 · Cited by 9,070
Inflammation in atherosclerosis
Libby, P. (2002) · Nature · doi:10.1038/nature01323 · Cited by 8,315
Inflammation and Atherosclerosis
Libby, P., Ridker, P. M., & Maseri, A. (2002) · Circulation · doi:10.1161/hc0902.104353 · Cited by 7,724
Recent advances with liposomes as pharmaceutical carriers
Torchilin, V. P. (2005) · Nature Reviews Drug Discovery · doi:10.1038/nrd1632 · Cited by 5,282
Diffusion of univalent ions across the lamellae of swollen phospholipids
Bangham, A. D., Standish, M. M., & Watkins, J. C. (1965) · Journal of Molecular Biology · doi:10.1016/s0022-2836(65)80093-6 · Cited by 4,664
Cancer nanotechnology: opportunities and challenges
Ferrari, M. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1566 · Cited by 4,558
Points of control in inflammation
Nathan, C. (2002) · Nature · doi:10.1038/nature01320 · Cited by 2,738
Nanomedicine: current status and future prospects
Moghimi, S. M., Hunter, A. C., & Murray, J. C. (2005) · The FASEB Journal · doi:10.1096/fj.04-2747rev · Cited by 2,029
Polymeric micelles—A new generation of colloidal drug carriers
Jones, M.-C., & Leroux, J.-C. (1999) · European Journal of Pharmaceutics and Biopharmaceutics · doi:10.1016/s0939-6411(99)00039-9 · Cited by 1,256
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Wahajuddin, & Arora (2012) · International Journal of Nanomedicine · doi:10.2147/ijn.s30320 · Cited by 1,117
Multimodality Imaging Probes: Design and Challenges
Louie, A. (2010) · Chemical Reviews · doi:10.1021/cr9003538 · Cited by 1,044
Villaraza, A. J. L., Bumb, A., & Brechbiel, M. W. (2010) · Chemical Reviews · doi:10.1021/cr900232t · Cited by 632
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Lammers, T., Kiessling, F., Hennink, W. E., & Storm, G. (2010) · Molecular Pharmaceutics · doi:10.1021/mp100228v · Cited by 397
Nanoparticle contrast agents for computed tomography: a focus on micelles
Cormode, D. P., Naha, P. C., & Fayad, Z. A. (2014) · Contrast Media & Molecular Imaging · doi:10.1002/cmmi.1551 · Cited by 362
Metadata
- Authors
- Mulder, W. J. M., Strijkers, G. J., van Tilborg, G. A. F., Griffioen, A. W., & Nicolay, K.
- Venue
- NMR in Biomedicine
- Publisher
- Wiley
- Published
- 2006-01-31
- Volume
- 19
- Issue
- 1
- Pages
- 142-164
- ISSN
- 0952-3480 (ISSN-L)
- 1099-1492
- OpenAlex
- W2144611965
- Cited by
- 535
- References
- 14
- FWCI
- 23.87
- Type
- journal article
- Language
- en
- Open access
- closed
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