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Enabling online determination of the size-dependent RNA content of lipid nanoparticle-based RNA formulations
The potential of lipid nanoparticles (LNPs) as nucleic acid delivery vehicles has been demonstrated in recent years, culminating in the emergency use approval of LNP-based mRNA SARS-CoV-2 vaccines in late 2020. The determination of RNA content relative to LNP size can be important to the understandi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760250/ https://www.ncbi.nlm.nih.gov/pubmed/34741934 http://dx.doi.org/10.1016/j.jchromb.2021.123015 |
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author | Jia, Xiujuan Liu, Yong Wagner, Angela M. Chen, Michelle Zhao, Yuejie Smith, Katelyn J. Some, Dan Abend, Andreas M. Pennington, Justin |
author_facet | Jia, Xiujuan Liu, Yong Wagner, Angela M. Chen, Michelle Zhao, Yuejie Smith, Katelyn J. Some, Dan Abend, Andreas M. Pennington, Justin |
author_sort | Jia, Xiujuan |
collection | PubMed |
description | The potential of lipid nanoparticles (LNPs) as nucleic acid delivery vehicles has been demonstrated in recent years, culminating in the emergency use approval of LNP-based mRNA SARS-CoV-2 vaccines in late 2020. The determination of RNA content relative to LNP size can be important to the understanding of efficacy and adverse effects. This work presents the first description of a facile and rapid analytical method for online, size-dependent RNA payload distribution measurement using data from multi-angle light scattering, ultraviolet and refractive index detectors following separation of the LNPs by size-exclusion chromatography. The analysis was validated by size-based fractionation of the LNPs with subsequent offline analysis of the fractions. Four LNPs formulated with different PEG-lipids and different lipid compositions were tested. Good agreement was observed between the online and offline size-based RNA distributions among all four LNPs, demonstrating the utility of the online method for LNP-encapsulated RNA in general, and suggesting a means for simplified biophysical quantitation of a dosing-related critical quality attribute. |
format | Online Article Text |
id | pubmed-9760250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97602502022-12-19 Enabling online determination of the size-dependent RNA content of lipid nanoparticle-based RNA formulations Jia, Xiujuan Liu, Yong Wagner, Angela M. Chen, Michelle Zhao, Yuejie Smith, Katelyn J. Some, Dan Abend, Andreas M. Pennington, Justin J Chromatogr B Analyt Technol Biomed Life Sci Article The potential of lipid nanoparticles (LNPs) as nucleic acid delivery vehicles has been demonstrated in recent years, culminating in the emergency use approval of LNP-based mRNA SARS-CoV-2 vaccines in late 2020. The determination of RNA content relative to LNP size can be important to the understanding of efficacy and adverse effects. This work presents the first description of a facile and rapid analytical method for online, size-dependent RNA payload distribution measurement using data from multi-angle light scattering, ultraviolet and refractive index detectors following separation of the LNPs by size-exclusion chromatography. The analysis was validated by size-based fractionation of the LNPs with subsequent offline analysis of the fractions. Four LNPs formulated with different PEG-lipids and different lipid compositions were tested. Good agreement was observed between the online and offline size-based RNA distributions among all four LNPs, demonstrating the utility of the online method for LNP-encapsulated RNA in general, and suggesting a means for simplified biophysical quantitation of a dosing-related critical quality attribute. The Authors. Published by Elsevier B.V. 2021-12-01 2021-11-01 /pmc/articles/PMC9760250/ /pubmed/34741934 http://dx.doi.org/10.1016/j.jchromb.2021.123015 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Jia, Xiujuan Liu, Yong Wagner, Angela M. Chen, Michelle Zhao, Yuejie Smith, Katelyn J. Some, Dan Abend, Andreas M. Pennington, Justin Enabling online determination of the size-dependent RNA content of lipid nanoparticle-based RNA formulations |
title | Enabling online determination of the size-dependent RNA content of lipid nanoparticle-based RNA formulations |
title_full | Enabling online determination of the size-dependent RNA content of lipid nanoparticle-based RNA formulations |
title_fullStr | Enabling online determination of the size-dependent RNA content of lipid nanoparticle-based RNA formulations |
title_full_unstemmed | Enabling online determination of the size-dependent RNA content of lipid nanoparticle-based RNA formulations |
title_short | Enabling online determination of the size-dependent RNA content of lipid nanoparticle-based RNA formulations |
title_sort | enabling online determination of the size-dependent rna content of lipid nanoparticle-based rna formulations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760250/ https://www.ncbi.nlm.nih.gov/pubmed/34741934 http://dx.doi.org/10.1016/j.jchromb.2021.123015 |
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