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Optimization of Lipid Nanoparticle Formulations for mRNA Delivery in Vivo with Fractional Factorial and Definitive Screening Designs
Abstract
Intracellular delivery of messenger RNA (mRNA) has the potential to induce protein production for many therapeutic applications. Although lipid nanoparticles have shown considerable promise for the delivery of small interfering RNAs (siRNA), their utility as agents for mRNA delivery has only recently been investigated. The most common siRNA formulations contain four components: an amine-containing lipid or lipid-like material, phospholipid, cholesterol, and lipid-anchored polyethylene glycol, the relative ratios of which can have profound effects on the formulation potency. Here, we develop a generalized strategy to optimize lipid nanoparticle formulations for mRNA delivery to the liver in vivo using Design of Experiment (DOE) methodologies including Definitive Screening and Fractional Factorial Designs. By simultaneously varying lipid ratios and structures, we developed an optimized formulation which increased the potency of erythropoietin-mRNA-loaded C12-200 lipid nanoparticles 7-fold relative to formulations previously used for siRNA delivery. Key features of this optimized formulation were the incorporation of 1,2-dioleoyl-sn-glycero-3-phosphoethanolamine (DOPE) and increased ionizable lipid:mRNA weight ratios. Interestingly, the optimized lipid nanoparticle formulation did not improve siRNA delivery, indicating differences in optimized formulation parameter design spaces for siRNA and mRNA. We believe the general method described here can accelerate in vivo screening and…
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“The delivery of therapeutic RNA molecules (siRNA or microRNA) encapsulated within the lipid or lipid-like carrier231,232 into the cells or tissues was proven to be effective in infectious diseases and tumors, as shown in many preclinical studies233,234,235 and clinical trials (reviewed by Kaczmarek et al.236).”
From MiR-128-3p – a gray eminence of the human central nervous system (2024) · cites this paper as [234]
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Metadata
- Authors
- Kauffman, K. J., Dorkin, J. R., Yang, J. H., Heartlein, M. W., DeRosa, F., Mir, F. F., Fenton, O. S., & Anderson, D. G.
- Affiliations
- Shire Pharmaceuticals, Lexington, Massachusetts 02421, United States
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-10-20
- Volume
- 15
- Issue
- 11
- Pages
- 7300-7306
- ISSN
- 1530-6984
- 1530-6992
- Cited by
- 796
- References
- 11
- Language
- en
- Funders
- Shire
- Skolkovo Institute of Science and Technology, Massachusetts Institute of Technology
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 ›
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