The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Nanoparticle clearance is governed by Th1/Th2 immunity and strain background
Open accessAbstract
Extended circulation of nanoparticles in blood is essential for most clinical applications. Nanoparticles are rapidly cleared by cells of the mononuclear phagocyte system (MPS). Approaches such as grafting polyethylene glycol onto particles (PEGylation) extend circulation times; however, these particles are still cleared, and the processes involved in this clearance remain poorly understood. Here, we present an intravital microscopy-based assay for the quantification of nanoparticle clearance, allowing us to determine the effect of mouse strain and immune system function on particle clearance. We demonstrate that mouse strains that are prone to Th1 immune responses clear nanoparticles at a slower rate than Th2-prone mice. Using depletion strategies, we show that both granulocytes and macrophages participate in the enhanced clearance observed in Th2-prone mice. Macrophages isolated from Th1 strains took up fewer particles in vitro than macrophages from Th2 strains. Treating macrophages from Th1 strains with cytokines to differentiate them into M2 macrophages increased the amount of particle uptake. Conversely, treating macrophages from Th2 strains with cytokines to differentiate them into M1 macrophages decreased their particle uptake. Moreover, these results were confirmed in human monocyte-derived macrophages, suggesting that global immune regulation has a significant impact on nanoparticle clearance in humans.
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Cites
MANTOVANI, A., SOZZANI, S., LOCATI, M., ALLAVENA, P., & SICA, A. (2002) · Trends in Immunology · doi:10.1016/s1471-4906(02)02302-5 · Cited by 5,528
Macrophage biology in development, homeostasis and disease
Wynn, T. A., Chawla, A., & Pollard, J. W. (2013) · Nature · doi:10.1038/nature12034 · Cited by 4,684 · cited 1×
“The MPS system broadly consists of tissue macrophages and dendritic cells (DCs) found in the spleen, liver, and lungs as well as monocytes in the spleen and blood (Miyata and van Eeden, 2011; Moghimi et al., 2012; Wynn et al., 2013).”
Alternative activation of macrophages: mechanism and functions
Gordon, S., & Martinez, F. O. (2010) · Immunity · doi:10.1016/j.immuni.2010.05.007 · Cited by 4,197
Of Mice and Not Men: Differences between Mouse and Human Immunology
Mestas, J., & Hughes, C. C. W. (2004) · The Journal of Immunology · doi:10.4049/jimmunol.172.5.2731 · Cited by 3,822
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
M-1/M-2 Macrophages and the Th1/Th2 Paradigm
Mills, C. D., Kincaid, K., Alt, J. M., Heilman, M. J., & Hill, A. M. (2000) · The Journal of Immunology · doi:10.4049/jimmunol.164.12.6166 · Cited by 3,287
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
Self-citationIdentification of splenic reservoir monocytes and their deployment to inflammatory sites
Swirski, F. K., Nahrendorf, M., Etzrodt, M., Wildgruber, M., Cortez-Retamozo, V., Panizzi, P., Figueiredo, J.-L., Kohler, R. H., Chudnovskiy, A., Waterman, P., et al. (2009) · Science · doi:10.1126/science.1175202 · Cited by 2,221
Sahay, G., Alakhova, D. Y., & Kabanov, A. V. (2010) · Journal of Controlled Release · doi:10.1016/j.jconrel.2010.01.036 · Cited by 2,181
Tacke, F., Alvarez, D., Kaplan, T. J., Jakubzick, C., Spanbroek, R., Llodra, J., Garin, A., Liu, J., Mack, M., van Rooijen, N., et al. (2007) · Journal of Clinical Investigation · doi:10.1172/jci28549 · Cited by 1,323
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Engineered Nanoparticles for Drug Delivery in Cancer Therapy
Sun, T., Zhang, Y. S., Pang, B., Hyun, D. C., Yang, M., & Xia, Y. (2014) · Angewandte Chemie International Edition · doi:10.1002/anie.201403036 · Cited by 2,164
In vivo delivery, pharmacokinetics, biodistribution and toxicity of iron oxide nanoparticles
Arami, H., Khandhar, A., Liggitt, D., & Krishnan, K. M. (2015) · Chemical Society Reviews · doi:10.1039/c5cs00541h · Cited by 830
Bertrand, N., Grenier, P., Mahmoudi, M., Lima, E. M., Appel, E. A., Dormont, F., Lim, J.-M., Karnik, R., Langer, R., & Farokhzad, O. C. (2017) · Nature Communications · doi:10.1038/s41467-017-00600-w · Cited by 708
Current hurdles to the translation of nanomedicines from bench to the clinic
Đorđević, S., Gonzalez, M. M., Conejos-Sánchez, I., Carreira, B., Pozzi, S., Acúrcio, R. C., Satchi-Fainaro, R., Florindo, H. F., & Vicent, M. J. (2022) · Drug Delivery and Translational Research · doi:10.1007/s13346-021-01024-2 · Cited by 657
In vivo degeneration and the fate of inorganic nanoparticles
Feliu, N., Docter, D., Heine, M., del Pino, P., Ashraf, S., Kolosnjaj-Tabi, J., Macchiarini, P., Nielsen, P., Alloyeau, D., Gazeau, F., et al. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00699f · Cited by 423
Metadata
- Authors
- Jones, S. W., Roberts, R. A., Robbins, G. R., Perry, J. L., Kai, M. P., Chen, K., Bo, T., Napier, M. E., Ting, J. P. Y., DeSimone, J. M., & Bear, J. E.
- Venue
- Journal of Clinical Investigation
- Published
- 2013-06-17
- Volume
- 123
- Issue
- 7
- Pages
- 3061-3073
- ISSN
- 0021-9738 (ISSN-L)
- OpenAlex
- W2141778888
- Cited by
- 197
- References
- 16
- FWCI
- 7.31
- Type
- journal article
- Language
- en
- Open access
- green
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- Jones, S. W., Roberts, R. A., Robbins, G. R., Perry, J. L., Kai, M. P., Chen, K., Bo, T., Napier, M. E., Ting, J. P. Y., DeSimone, J. M., & Bear, J. E. (2013). Nanoparticle clearance is governed by Th1/Th2 immunity and strain background. Journal of Clinical Investigation. https://doi.org/10.1172/jci66895
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