Development of lipid nanoparticle formulations of siRNA for hepatocyte gene silencing following subcutaneous administration
Abstract
Recently developed lipid nanoparticle (LNP) formulations of siRNA have proven to be effective agents for hepatocyte gene silencing following intravenous administration with at least three LNP-siRNA formulations in clinical trials. The aim of this work was to develop LNP-siRNA systems for hepatocyte gene silencing that can be administered subcutaneously (s.c.). Three parameters were investigated, namely LNP size, residence time of the polyethylene glycol (PEG)-lipid coating and the influence of hepatocyte-specific targeting ligands. LNP sizes were varied over the range of 30 to 115 nm in diameter and PEG-lipid that dissociates rapidly (PEG-DMG) and slowly (PEG-DSG) were employed. In mice, results show that large (~80 nm) LNP exhibited limited accumulation in the liver and poor Factor VII (FVII) gene silencing at 1mg siRNA/kg body weight. Conversely, small (~30 nm) LNP systems showed maximal liver accumulation yet still had minimal activity. Interestingly, intermediate size (~45 nm) LNP containing PEG-DSG exhibited nearly equivalent liver accumulation as the smaller systems following s.c. administration but reduced FVII levels by 80% at 1mg siRNA/kg body weight. Smaller systems (~35 nm diameter) containing either PEG-DMG or PEG-DSG were less active; however addition of 0.5 mol.% of a GalNAc-PEG lipid to these smaller systems improved activity to levels similar to that observed for the ~45 nm diameter systems. In summary, this work shows that appropriately designed LNP-siRNA sys…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In mice, nanoparticles densely coated with PEG measuring up to 200 nm in diameter were able to spread within brain tissue, a size range achievable for LNPs.
“In mice, nanoparticles densely coated with PEG measuring up to 200 nm in diameter were able to spread within brain tissue (28), a size range achievable for LNPs (9, 29).”
From Lipid Nanoparticles Deliver mRNA to the Brain after an Intracerebral Injection (2023) · cites this paper as [29]
Cites
Accumulation of sub-100 nm polymeric micelles in poorly permeable tumours depends on size
Cabral, H., Matsumoto, Y., Mizuno, K., Chen, Q., Murakami, M., Kimura, M., Terada, Y., Kano, M. R., Miyazono, K., Uesaka, M., et al. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2011.166 · Cited by 2,429 · see citing works
Rational design of cationic lipids for siRNA delivery
Semple, S. C., Akinc, A., Chen, J., Sandhu, A. P., Mui, B. L., Cho, C. K., Sah, D. W. Y., Stebbing, D., Crosley, E. J., Yaworski, E., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt.1602 · Cited by 1,822 · see citing works
Self-citationTargeted delivery of RNAi therapeutics with endogenous and exogenous ligand-based mechanisms
Akinc, A., Querbes, W., De, S., Qin, J., Frank-Kamenetsky, M., Jayaprakash, K. N., Jayaraman, M., Rajeev, K. G., Cantley, W. L., Dorkin, J. R., et al. (2010) · Molecular Therapy · doi:10.1038/mt.2010.85 · Cited by 1,261 · see citing works
Abrams, M. T., Koser, M. L., Seitzer, J., Williams, S. C., DiPietro, M. A., Wang, W., Shaw, A. W., Mao, X., Jadhav, V., Davide, J. P., et al. (2010) · Molecular Therapy · doi:10.1038/mt.2009.208 · Cited by 209 · see citing works
Lipid Nanoparticle Delivery of siRNA to Silence Neuronal Gene Expression in the Brain
Rungta, R. L., Choi, H. B., Lin, P. J., Ko, R. W., Ashby, D., Nair, J., Manoharan, M., Cullis, P. R., & MacVicar, B. A. (2013) · Molecular Therapy—Nucleic Acids · doi:10.1038/mtna.2013.65 · Cited by 165 · cited 4× · see citing works
“As the lipid composition employed here is different than used previously, we examined the size distribution achieved for LNP– siRNA systems composed of DMAP-BLP, DSPC, cholesterol and PEG- DMG in the molar ratios 50:10:(39.75 − x):(0.25 + x), where x was varied from 0 to 4.75, encapsulating siRNA at a N/P (+/-) charge…”
InfluentialSelf-citation
Flagged first, then by citations
Cited by
Sorted by citations
Kulkarni, J. A., Darjuan, M. M., Mercer, J. E., Chen, S., van der Meel, R., Thewalt, J. L., Tam, Y. Y. C., & Cullis, P. R. (2018) · ACS Nano · doi:10.1021/acsnano.8b01516 · Cited by 663 · see citing works
Yanez Arteta, M., Kjellman, T., Bartesaghi, S., Wallin, S., Wu, X., Kvist, A. J., Dabkowska, A., Székely, N., Radulescu, A., Bergenholtz, J., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1720542115 · Cited by 534 · see citing works
Kim, J., Eygeris, Y., Gupta, M., & Sahay, G. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.12.014 · Cited by 514 · see citing works
Lipid nanoparticle technology for therapeutic gene regulation in the liver
Witzigmann, D., Kulkarni, J. A., Leung, J., Chen, S., Cullis, P. R., & van der Meel, R. (2020) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.06.026 · Cited by 376 · see citing works
Self-citationInfluence of particle size on the in vivo potency of lipid nanoparticle formulations of siRNA
Chen, S., Tam, Y. Y. C., Lin, P. J. C., Sung, M. M. H., Tam, Y. K., & Cullis, P. R. (2016) · Journal of Controlled Release · doi:10.1016/j.jconrel.2016.05.059 · Cited by 366 · see citing works
Self-citationEvers, M. J. W., Kulkarni, J. A., van der Meel, R., Cullis, P. R., Vader, P., & Schiffelers, R. M. (2018) · Small Methods · doi:10.1002/smtd.201700375 · Cited by 332 · see citing works
Jung, H. N., Lee, S.-Y., Lee, S., Youn, H., & Im, H.-J. (2022) · Theranostics · doi:10.7150/thno.77259 · Cited by 282 · see citing works
Lipid nanoparticles for targeted siRNA delivery - going from bench to bedside
Zatsepin (2016) · International Journal of Nanomedicine · doi:10.2147/ijn.s106625 · Cited by 162 · see citing works
Fusion-dependent formation of lipid nanoparticles containing macromolecular payloads
Kulkarni, J. A., Witzigmann, D., Leung, J., van der Meel, R., Zaifman, J., Darjuan, M. M., Grisch-Chan, H. M., Thöny, B., Tam, Y. Y. C., & Cullis, P. R. (2019) · Nanoscale · doi:10.1039/c9nr02004g · Cited by 161 · see citing works
Self-citationLipid Nanoparticles Deliver mRNA to the Brain after an Intracerebral Injection
Tuma, J., Chen, Y.-J., Collins, M. G., Paul, A., Li, J., Han, H., Sharma, R., Murthy, N., & Lee, H. Y. (2023) · Biochemistry · doi:10.1021/acs.biochem.3c00371 · Cited by 65 · see citing works
- Authors
- Chen, S., Tam, Y. Y. C., Lin, P. J. C., Leung, A. K. K., Tam, Y. K., & Cullis, P. R.
- Affiliations
- University of British Columbia (CA)
- Corresponding author
- Cullis, Pieter R.
- Venue
- Journal of Controlled Release
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 196
- Pages
- 106-112
- ISSN
- 0168-3659 (ISSN-L)
- OpenAlex
- W2112951256
- Cited by
- 160
- References
- 5
- Citations by year
- 2026: 10 · 2025: 20 · 2024: 19 · 2023: 20 · 2022: 18 · 2021: 18 · 2020: 10 · 2019: 15 · 2018: 8 · 2017: 5 · 2016: 9 · 2015: 7
- FWCI
- 2.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Controlled Release (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes for Health Research (CIHR FRN 111627)
- Alnylam Pharmaceuticals
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
- Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Advanced Drug Delivery Systems
- Keywords
- lipid nanoparticles, siRNA, subcutaneous administration, factor VII, liver accumulation, siRNA delivery
- MeSH terms
- Animals, Chemistry, Pharmaceutical, Factor VII, Female, Lipids, Mice, Inbred C57BL, Tissue Distribution, Drug Delivery Systems, Gene Silencing, Hepatocytes, RNA, Small Interfering, Mice, Nanoparticles, Infusions, Subcutaneous
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review