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Mathematical Modeling: A Tool for Optimization of Lipid Nanoparticle-Mediated Delivery of siRNA
Lipid nanoparticles (LNPs) have been used to successfully deliver small interfering RNAs (siRNAs) to target cells in both preclinical and clinical studies and currently are the leading systems for in vivo delivery. Here, we propose the use of an ordinary differential equation (ODE)-based model as a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Gene & Cell Therapy
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415968/ https://www.ncbi.nlm.nih.gov/pubmed/28624200 http://dx.doi.org/10.1016/j.omtn.2017.04.003 |
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author | Mihaila, Radu Ruhela, Dipali Keough, Edward Cherkaev, Elena Chang, Silvia Galinski, Beverly Bartz, René Brown, Duncan Howell, Bonnie Cunningham, James J. |
author_facet | Mihaila, Radu Ruhela, Dipali Keough, Edward Cherkaev, Elena Chang, Silvia Galinski, Beverly Bartz, René Brown, Duncan Howell, Bonnie Cunningham, James J. |
author_sort | Mihaila, Radu |
collection | PubMed |
description | Lipid nanoparticles (LNPs) have been used to successfully deliver small interfering RNAs (siRNAs) to target cells in both preclinical and clinical studies and currently are the leading systems for in vivo delivery. Here, we propose the use of an ordinary differential equation (ODE)-based model as a tool for optimizing LNP-mediated delivery of siRNAs. As a first step, we have used a combination of experimental and computational approaches to develop and validate a mathematical model that captures the critical features for efficient siRNA-LNP delivery in vitro. This model accurately predicts mRNA knockdown resulting from novel combinations of siRNAs and LNPs in vitro. As demonstrated, this model can be effectively used as a screening tool to select the most efficacious LNPs, which can then further be evaluated in vivo. The model serves as a starting point for the future development of next generation models capable of capturing the additional complexity of in vivo delivery. |
format | Online Article Text |
id | pubmed-5415968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Society of Gene & Cell Therapy |
record_format | MEDLINE/PubMed |
spelling | pubmed-54159682017-05-05 Mathematical Modeling: A Tool for Optimization of Lipid Nanoparticle-Mediated Delivery of siRNA Mihaila, Radu Ruhela, Dipali Keough, Edward Cherkaev, Elena Chang, Silvia Galinski, Beverly Bartz, René Brown, Duncan Howell, Bonnie Cunningham, James J. Mol Ther Nucleic Acids Original Article Lipid nanoparticles (LNPs) have been used to successfully deliver small interfering RNAs (siRNAs) to target cells in both preclinical and clinical studies and currently are the leading systems for in vivo delivery. Here, we propose the use of an ordinary differential equation (ODE)-based model as a tool for optimizing LNP-mediated delivery of siRNAs. As a first step, we have used a combination of experimental and computational approaches to develop and validate a mathematical model that captures the critical features for efficient siRNA-LNP delivery in vitro. This model accurately predicts mRNA knockdown resulting from novel combinations of siRNAs and LNPs in vitro. As demonstrated, this model can be effectively used as a screening tool to select the most efficacious LNPs, which can then further be evaluated in vivo. The model serves as a starting point for the future development of next generation models capable of capturing the additional complexity of in vivo delivery. American Society of Gene & Cell Therapy 2017-04-12 /pmc/articles/PMC5415968/ /pubmed/28624200 http://dx.doi.org/10.1016/j.omtn.2017.04.003 Text en © 2017 Elena Cherkaev, Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ USA http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Article Mihaila, Radu Ruhela, Dipali Keough, Edward Cherkaev, Elena Chang, Silvia Galinski, Beverly Bartz, René Brown, Duncan Howell, Bonnie Cunningham, James J. Mathematical Modeling: A Tool for Optimization of Lipid Nanoparticle-Mediated Delivery of siRNA |
title | Mathematical Modeling: A Tool for Optimization of Lipid Nanoparticle-Mediated Delivery of siRNA |
title_full | Mathematical Modeling: A Tool for Optimization of Lipid Nanoparticle-Mediated Delivery of siRNA |
title_fullStr | Mathematical Modeling: A Tool for Optimization of Lipid Nanoparticle-Mediated Delivery of siRNA |
title_full_unstemmed | Mathematical Modeling: A Tool for Optimization of Lipid Nanoparticle-Mediated Delivery of siRNA |
title_short | Mathematical Modeling: A Tool for Optimization of Lipid Nanoparticle-Mediated Delivery of siRNA |
title_sort | mathematical modeling: a tool for optimization of lipid nanoparticle-mediated delivery of sirna |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415968/ https://www.ncbi.nlm.nih.gov/pubmed/28624200 http://dx.doi.org/10.1016/j.omtn.2017.04.003 |
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