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Multiscale benchmarking of drug delivery vectors

Huw Summers Orcid Logo, Matthew J. Ware, Ravish Majithia, Kenith Meissner, Biana Godin, Paul Rees Orcid Logo

Nanomedicine: Nanotechnology, Biology and Medicine, Volume: 12, Issue: 7, Pages: 1843 - 1851

Swansea University Authors: Huw Summers Orcid Logo, Kenith Meissner, Paul Rees Orcid Logo

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DOI (Published version): 10.1016/j.nano.2016.03.006

Abstract

Cross-system comparisons of drug delivery vectors are essential to ensure optimal design. An in-vitro experimental protocol is presented that separates the role of the delivery vector from that of its cargo in determining the cell response, thus allowing quantitative comparison of different systems....

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Published in: Nanomedicine: Nanotechnology, Biology and Medicine
ISSN: 1549-9634
Published: 2016
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa27492
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last_indexed 2020-09-30T02:43:26Z
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spelling 2020-09-29T18:36:22.3283820 v2 27492 2016-04-27 Multiscale benchmarking of drug delivery vectors a61c15e220837ebfa52648c143769427 0000-0002-0898-5612 Huw Summers Huw Summers true false 30fdfec0d8b19b59b57a818e054d4af3 Kenith Meissner Kenith Meissner true false 537a2fe031a796a3bde99679ee8c24f5 0000-0002-7715-6914 Paul Rees Paul Rees true false 2016-04-27 EAAS Cross-system comparisons of drug delivery vectors are essential to ensure optimal design. An in-vitro experimental protocol is presented that separates the role of the delivery vector from that of its cargo in determining the cell response, thus allowing quantitative comparison of different systems. The technique is validated through benchmarking of the dose–response of human fibroblast cells exposed to the cationic molecule, polyethylene imine (PEI); delivered as a free molecule and as a cargo on the surface of CdSe nanoparticles and Silica microparticles. The exposure metrics are converted to a delivered dose with the transport properties of the different scale systems characterized by a delivery time, τ. The benchmarking highlights an agglomeration of the free PEI molecules into micron sized clusters and identifies the metric determining cell death as the total number of PEI molecules presented to cells, determined by the delivery vector dose and the surface density of the cargo. Journal Article Nanomedicine: Nanotechnology, Biology and Medicine 12 7 1843 1851 1549-9634 Dose–Response assays; Nanoparticles; Drug delivery; Nanomedicine; Nanotoxicology 31 10 2016 2016-10-31 10.1016/j.nano.2016.03.006 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University 2020-09-29T18:36:22.3283820 2016-04-27T17:29:00.2578470 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Huw Summers 0000-0002-0898-5612 1 Matthew J. Ware 2 Ravish Majithia 3 Kenith Meissner 4 Biana Godin 5 Paul Rees 0000-0002-7715-6914 6 0027492-427201652914PM.pdf 1-s2.0-S1549963416300247-main.pdf 2016-04-27T17:29:14.4070000 Output 2379228 application/pdf Accepted Manuscript true 2017-04-09T00:00:00.0000000 © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ true
title Multiscale benchmarking of drug delivery vectors
spellingShingle Multiscale benchmarking of drug delivery vectors
Huw Summers
Kenith Meissner
Paul Rees
title_short Multiscale benchmarking of drug delivery vectors
title_full Multiscale benchmarking of drug delivery vectors
title_fullStr Multiscale benchmarking of drug delivery vectors
title_full_unstemmed Multiscale benchmarking of drug delivery vectors
title_sort Multiscale benchmarking of drug delivery vectors
author_id_str_mv a61c15e220837ebfa52648c143769427
30fdfec0d8b19b59b57a818e054d4af3
537a2fe031a796a3bde99679ee8c24f5
author_id_fullname_str_mv a61c15e220837ebfa52648c143769427_***_Huw Summers
30fdfec0d8b19b59b57a818e054d4af3_***_Kenith Meissner
537a2fe031a796a3bde99679ee8c24f5_***_Paul Rees
author Huw Summers
Kenith Meissner
Paul Rees
author2 Huw Summers
Matthew J. Ware
Ravish Majithia
Kenith Meissner
Biana Godin
Paul Rees
format Journal article
container_title Nanomedicine: Nanotechnology, Biology and Medicine
container_volume 12
container_issue 7
container_start_page 1843
publishDate 2016
institution Swansea University
issn 1549-9634
doi_str_mv 10.1016/j.nano.2016.03.006
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Biomedical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Biomedical Engineering
document_store_str 1
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description Cross-system comparisons of drug delivery vectors are essential to ensure optimal design. An in-vitro experimental protocol is presented that separates the role of the delivery vector from that of its cargo in determining the cell response, thus allowing quantitative comparison of different systems. The technique is validated through benchmarking of the dose–response of human fibroblast cells exposed to the cationic molecule, polyethylene imine (PEI); delivered as a free molecule and as a cargo on the surface of CdSe nanoparticles and Silica microparticles. The exposure metrics are converted to a delivered dose with the transport properties of the different scale systems characterized by a delivery time, τ. The benchmarking highlights an agglomeration of the free PEI molecules into micron sized clusters and identifies the metric determining cell death as the total number of PEI molecules presented to cells, determined by the delivery vector dose and the surface density of the cargo.
published_date 2016-10-31T18:54:33Z
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