The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
The Effect of Size and Charge of Lipid Nanoparticles Prepared by Microfluidic Mixing on Their Lymph Node Transitivity and Distribution
Abstract
Because the lymph node (LN) is a critical organ for inducing immune responses against pathogens and cancers, the transport of immune functional molecules such as antigens and adjuvants to LNs by delivery systems is a useful strategy for the effective outcome of an immune response. The size and charge of a delivery system largely affect the transitivity to and distribution within LN. Although pH-sensitive lipid nanoparticles (LNPs) prepared by microfluidic mixing are the latest delivery system to be applied clinically, the effects of their size and charge on the transitivity to and distribution within LN are currently unknown. We investigated the size and charge effect of LNPs prepared by microfluidic mixing on transitivity to and distribution within LNs. A 30 nm-sized LNP (30-LNP) was efficiently translocated to LNs and was taken up by CD8 + dendritic cells, while the efficiency was drastically decreased in the cases of 100 and 200 nm-sized LNPs. Furthermore, a comparative study between neutral, positively, and negatively charged 30-LNP revealed that the negative 30-LNP moved to the LN more efficiently than the other LNPs. Interestingly, the negative 30-LNP reached the deep cortex, namely, the T cell zone. Our findings provide informative insights for designing LN-targeting LNPs prepared by microfluidic mixing and for the translocation of nanoparticles in LNs.
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Merad, M., Sathe, P., Helft, J., Miller, J., & Mortha, A. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-020711-074950 · Cited by 2,309
Batf3 Deficiency Reveals a Critical Role for CD8α + Dendritic Cells in Cytotoxic T Cell Immunity
Hildner, K., Edelson, B. T., Purtha, W. E., Diamond, M., Matsushita, H., Kohyama, M., Calderon, B., Schraml, B. U., Unanue, E. R., Diamond, M. S., et al. (2008) · Science · doi:10.1126/science.1164206 · Cited by 2,081
Maximizing the potency of siRNA lipid nanoparticles for hepatic gene silencing in vivo
Jayaraman, M., Ansell, S. M., Mui, B. L., Tam, Y. K., Chen, J., Du, X., Butler, D., Eltepu, L., Matsuda, S., Narayanannair, J. K., et al. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201203263 · Cited by 1,267
Microfluidic Synthesis of Highly Potent Limit-size Lipid Nanoparticles for In Vivo Delivery of siRNA
Belliveau, N. M., Huft, J., Lin, P. J., Chen, S., Leung, A. K., Leaver, T. J., Wild, A. W., Lee, J. B., Taylor, R. J., Tam, Y. K., et al. (2012) · Molecular Therapy - Nucleic Acids · doi:10.1038/mtna.2012.28 · Cited by 685
From Sewer to Saviour—Targeting the Lymphatic System to Promote Drug Exposure and Activity
Trevaskis, N. L., Kaminskas, L. M., & Porter, C. J. H. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4608 · Cited by 654
Supersaxo, A., Hein, W. R., & Steffen, H. (1990) · Pharmaceutical Research · doi:10.1023/a:1015880819328 · Cited by 386
Microfluidic Mixing: A General Method for Encapsulating Macromolecules in Lipid Nanoparticle Systems
Leung, A. K. K., Tam, Y. Y. C., Chen, S., Hafez, I. M., & Cullis, P. R. (2015) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.5b02891 · Cited by 359
Advances in lipid nanoparticles for siRNA delivery
Tam, Y., Chen, S., & Cullis, P. (2013) · Pharmaceutics · doi:10.3390/pharmaceutics5030498 · Cited by 229
Rantakari, P., Auvinen, K., Jäppinen, N., Kapraali, M., Valtonen, J., Karikoski, M., Gerke, H., Iftakhar-E-Khuda, I., Keuschnigg, J., Umemoto, E., et al. (2015) · Nature Immunology · doi:10.1038/ni.3101 · Cited by 203
Transcytosis route mediates rapid delivery of intact antibodies to draining lymph nodes
Kähäri, L., Fair-Mäkelä, R., Auvinen, K., Rantakari, P., Jalkanen, S., Ivaska, J., & Salmi, M. (2019) · Journal of Clinical Investigation · doi:10.1172/jci125740 · Cited by 74
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Xu, M., Qi, Y., Liu, G., Song, Y., Jiang, X., & Du, B. (2023) · ACS Nano · doi:10.1021/acsnano.3c05853 · Cited by 632
Nakamura, T., Sato, Y., Yamada, Y., Abd Elwakil, M. M., Kimura, S., Younis, M. A., & Harashima, H. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114417 · Cited by 121
Self-citationThe Future of Tissue-Targeted Lipid Nanoparticle-Mediated Nucleic Acid Delivery
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Metadata
- Authors
- Nakamura, T., Kawai, M., Sato, Y., Maeki, M., Tokeshi, M., & Harashima, H.
- Venue
- Molecular Pharmaceutics
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-01-28
- Volume
- 17
- Issue
- 3
- Pages
- 944-953
- ISSN
- 1543-8384 (ISSN-L)
- 1543-8392
- OpenAlex
- W3003170643
- Cited by
- 186
- References
- 10
- FWCI
- 5.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- Nakamura, T., Kawai, M., Sato, Y., Maeki, M., Tokeshi, M., & Harashima, H. (2020). The Effect of Size and Charge of Lipid Nanoparticles Prepared by Microfluidic Mixing on Their Lymph Node Transitivity and Distribution. Molecular Pharmaceutics. https://doi.org/10.1021/acs.molpharmaceut.9b01182
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