The DOI matches its Crossref record; 149 of the 149 references it cites were found in a registry or an index.
The Biomolecular Corona of Lipid Nanoparticles for Gene Therapy
Open accessAbstract
Gene therapy holds great potential for treating almost any disease by gene silencing, protein expression, or gene correction. To efficiently deliver the nucleic acid payload to its target tissue, the genetic material needs to be combined with a delivery platform. Lipid nanoparticles (LNPs) have proven to be excellent delivery vectors for gene therapy and are increasingly entering into routine clinical practice. Over the past two decades, the optimization of LNP formulations for nucleic acid delivery has led to a well-established body of knowledge culminating in the first-ever RNA interference therapeutic using LNP technology, i.e., Onpattro, and many more in clinical development to deliver various nucleic acid payloads. Screening a lipid library in vivo for optimal gene silencing potency in hepatocytes resulted in the identification of the Onpattro formulation. Subsequent studies discovered that the key to Onpattro’s liver tropism is its ability to form a specific “biomolecular corona”. In fact, apolipoprotein E (ApoE), among other proteins, adsorbed to the LNP surface enables specific hepatocyte targeting. This proof-of-principle example demonstrates the use of the biomolecular corona for targeting specific receptors and cells, thereby opening up the road to rationally designing LNPs. To date, however, only a few studies have explored in detail the corona of LNPs, and how to efficiently modulate the corona remains poorly understood. In this review, we summarize recent discoveries about the biomolecular corona, expanding the knowledge gained with other nanoparticles to LNPs for nucleic acid delivery. In particular, we address how particle stability, biodistribution, and targeting of LNPs can be influenced by the biological environment. Onpattro is used as a case study to describe both the successful development of an LNP formulation for gene therapy and the key influence of the biological environment. Moreover, we outline the techniques available to isolate and analyze the corona of LNPs, and we highlight their advantages and drawbacks. Finally, we discuss possible implications of the biomolecular corona for LNP delivery and we examine the potential of exploiting the corona as a targeting strategy beyond the liver to develop next-generation gene therapies.
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Cites
Understanding biophysicochemical interactions at the nano–bio interface
Nel, A. E., Mädler, L., Velegol, D., Xia, T., Hoek, E. M. V., Somasundaran, P., Klaessig, F., Castranova, V., & Thompson, M. (2009) · Nature Materials · doi:10.1038/nmat2442 · Cited by 7,083
Analysis of nanoparticle delivery to tumours
Wilhelm, S., Tavares, A. J., Dai, Q., Ohta, S., Audet, J., Dvorak, H. F., & Chan, W. C. W. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.14 · Cited by 5,218
Liposomal drug delivery systems: From concept to clinical applications
Allen, T. M., & Cullis, P. R. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.09.037 · Cited by 4,839
Self-citationmRNA vaccines — a new era in vaccinology
Pardi, N., Hogan, M. J., Porter, F. W., & Weissman, D. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.243 · Cited by 4,667
PEGylation as a strategy for improving nanoparticle-based drug and gene delivery
Suk, J. S., Xu, Q., Kim, N., Hanes, J., & Ensign, L. M. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.09.012 · Cited by 4,523
Opsonization, biodistribution, and pharmacokinetics of polymeric nanoparticles
OWENSIII, D., & PEPPAS, N. (2006) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2005.10.010 · Cited by 3,637
Non-viral vectors for gene-based therapy
Yin, H., Kanasty, R. L., Eltoukhy, A. A., Vegas, A. J., Dorkin, J. R., & Anderson, D. G. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3763 · Cited by 3,123
Knocking down barriers: advances in siRNA delivery
Whitehead, K. A., Langer, R., & Anderson, D. G. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2742 · Cited by 3,115
Patisiran, an RNAi Therapeutic, for Hereditary Transthyretin Amyloidosis
Adams, D., Gonzalez-Duarte, A., O’Riordan, W. D., Yang, C.-C., Ueda, M., Kristen, A. V., Tournev, I., Schmidt, H. H., Coelho, T., Berk, J. L., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1716153 · Cited by 3,047
Biomolecular coronas provide the biological identity of nanosized materials
Monopoli, M. P., Åberg, C., Salvati, A., & Dawson, K. A. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.207 · Cited by 3,017
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Kim, J., Eygeris, Y., Gupta, M., & Sahay, G. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.12.014 · Cited by 514
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“Upon intravenous administration, apolipoprotein E (ApoE) in blood serum binds to LNPs, 5,6 which leads to LNP accumulation in the liver.”
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Swingle, K. L., Hamilton, A. G., Safford, H. C., Geisler, H. C., Thatte, A. S., Palanki, R., Murray, A. M., Han, E. L., Mukalel, A. J., Han, X., et al. (2025) · Nature · doi:10.1038/s41586-024-08291-2 · Cited by 129
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Metadata
- Authors
- Francia, V., Schiffelers, R. M., Cullis, P. R., & Witzigmann, D.
- Venue
- Bioconjugate Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-08-07
- Volume
- 31
- Issue
- 9
- Pages
- 2046-2059
- ISSN
- 1043-1802 (ISSN-L)
- 1520-4812
- OpenAlex
- W3047744822
- Cited by
- 299
- References
- 149
- FWCI
- 7.54
- Type
- journal article
- Language
- en
- Open access
- green
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