The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Microglial Response to Gold Nanoparticles
Open accessAbstract
Given the emergence of nanotherapeutics and nanodiagnostics as key tools in today's medicine, it has become of critical importance to define precisely the interactions of nanomaterials with biological systems and to characterize the resulting cellular response. We report here the interactions of microglia and neurons with gold nanoparticles (GNPs) of three morphologies, spheres, rods, and urchins, coated with poly(ethylene glycol) (PEG) or cetyl trimethylammonium bromide (CTAB). Microglia are the resident immune cells of the brain, primarily involved in surveillance, macrophagy, and production of cytokines and trophic factors. Analysis by dark-field microscopy and by two-photon-induced luminescence (TPL) indicates that the exposure of neural cells to GNPs resulted in (i) GNP internalization by both microglial cells and primary hippocampal neurons, as revealed by dark-field microscopy and by two-photon-induced luminescence (TPL), (ii) transient toll-like receptor 2 (TLR-2) up-regulation in the olfactory bulb, after intranasal administration in transgenic mice, in vivo, in real time, and (iii) differential up-regulation in vitro of TLR-2 together with interleukin 1 alpha (IL-1alpha), granulocyte macrophage colony-stimulating factor (GM-CSF) and nitric oxide (NO) in microglia. The study demonstrates that GNP morphology and surface chemistry strongly influence the microglial activation status and suggests that interactions between GNPs and microglia can be differentially regulated by tuning GNP nanogeometry.
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Microglia-mediated neurotoxicity: uncovering the molecular mechanisms
Block, M. L., Zecca, L., & Hong, J.-S. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2038 · Cited by 4,110
Microglia: Active sensor and versatile effector cells in the normal and pathologic brain
Hanisch, U.-K., & Kettenmann, H. (2007) · Nature Neuroscience · doi:10.1038/nn1997 · Cited by 3,676
Toll-like receptors in innate immunity
Takeda, K. (2004) · International Immunology · doi:10.1093/intimm/dxh186 · Cited by 3,328
The effect of particle design on cellular internalization pathways
Gratton, S. E. A., Ropp, P. A., Pohlhaus, P. D., Luft, J. C., Madden, V. J., Napier, M. E., & DeSimone, J. M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801763105 · Cited by 2,918
Toll-like receptor signalling in macrophages links the autophagy pathway to phagocytosis
Sanjuan, M. A., Dillon, C. P., Tait, S. W. G., Moshiach, S., Dorsey, F., Connell, S., Komatsu, M., Tanaka, K., Cleveland, J. L., Withoff, S., et al. (2007) · Nature · doi:10.1038/nature06421 · Cited by 1,347
Chen, K., Iribarren, P., Hu, J., Chen, J., Gong, W., Cho, E. H., Lockett, S., Dunlop, N. M., & Wang, J. M. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m508125200 · Cited by 214
Schäfer, V., von Briesen, H., Andreesen, R., Steffan, A.-M., Royer, C., Tröster, S., Kreuter, J., & Rübsamen-Waigmann, H. (1992) · Pharmaceutical Research · doi:10.1023/a:1015852732512 · Cited by 146
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Albanese, A., Tang, P. S., & Chan, W. C. W. (2012) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071811-150124 · Cited by 3,633
Duan, X., & Li, Y. (2013) · Small · doi:10.1002/smll.201201390 · Cited by 926
Imaging macrophages with nanoparticles
Weissleder, R., Nahrendorf, M., & Pittet, M. J. (2014) · Nature Materials · doi:10.1038/nmat3780 · Cited by 809
The importance of nanoparticle shape in cancer drug delivery
Truong, N. P., Whittaker, M. R., Mak, C. W., & Davis, T. P. (2015) · Expert Opinion on Drug Delivery · doi:10.1517/17425247.2014.950564 · Cited by 594
Applications of nano-catalyst in new era
Chaturvedi, S., Dave, P. N., & Shah, N. K. (2012) · Journal of Saudi Chemical Society · doi:10.1016/j.jscs.2011.01.015 · Cited by 534
Breaking Down the Barriers to Precision Cancer Nanomedicine
von Roemeling, C., Jiang, W., Chan, C. K., Weissman, I. L., & Kim, B. Y. S. (2017) · Trends in Biotechnology · doi:10.1016/j.tibtech.2016.07.006 · Cited by 330
Recent Advancements of Nanomedicine in Neurodegenerative Disorders Theranostics
Mukherjee, S., Madamsetty, V. S., Bhattacharya, D., Roy Chowdhury, S., Paul, M. K., & Mukherjee, A. (2020) · Advanced Functional Materials · doi:10.1002/adfm.202003054 · Cited by 152
Engineered nanoparticles, How brain friendly is this new guest?
Cupaioli, F. A., Zucca, F. A., Boraschi, D., & Zecca, L. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.05.002 · Cited by 139
Microglia-targeting nanotherapeutics for neurodegenerative diseases
Zhao, N., Francis, N. L., Calvelli, H. R., & Moghe, P. V. (2020) · APL Bioengineering · doi:10.1063/5.0013178 · Cited by 104
Leite, P. E. C., Pereira, M. R., Harris, G., Pamies, D., dos Santos, L. M. G., Granjeiro, J. M., Hogberg, H. T., Hartung, T., & Smirnova, L. (2019) · Particle and Fibre Toxicology · doi:10.1186/s12989-019-0307-3 · Cited by 92
Therapeutics, imaging and toxicity of nanomaterials in the central nervous system.
Nunes, A., Al-Jamal, K. T., & Kostarelos, K. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2012.03.026 · Cited by 75
Lam, M. A., Hemley, S. J., Najafi, E., Vella, N. G. F., Bilston, L. E., & Stoodley, M. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-13455-4 · Cited by 71
Lalancette-Hébert, M., Moquin, A., Choi, A. O., Kriz, J., & Maysinger, D. (2010) · Molecular Pharmaceutics · doi:10.1021/mp1000372 · Cited by 39
Self-citation
Metadata
- Authors
- Hutter, E., Boridy, S., Labrecque, S., Lalancette-Hébert, M., Kriz, J., Winnik, F. M., & Maysinger, D.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-03-23
- Volume
- 4
- Issue
- 5
- Pages
- 2595-2606
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W1967850823
- Cited by
- 320
- References
- 7
- FWCI
- 13.04
- Type
- journal article
- Language
- en
- Open access
- green
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