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Synthetic networks with tunable responsiveness, biodegradation, and molecular recognition for precision medicine applications
Formulations and devices for precision medicine applications must be tunable and multiresponsive to treat heterogeneous patient populations in a calibrated and individual manner. We engineered modular poly(acrylamide-co-methacrylic acid) copolymers, cross-linked into multiresponsive nanogels with ei...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764836/ https://www.ncbi.nlm.nih.gov/pubmed/31598554 http://dx.doi.org/10.1126/sciadv.aax7946 |
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author | Clegg, John R. Irani, Afshan S. Ander, Eric W. Ludolph, Catherine M. Venkataraman, Abhijeet K. Zhong, Justin X. Peppas, Nicholas A. |
author_facet | Clegg, John R. Irani, Afshan S. Ander, Eric W. Ludolph, Catherine M. Venkataraman, Abhijeet K. Zhong, Justin X. Peppas, Nicholas A. |
author_sort | Clegg, John R. |
collection | PubMed |
description | Formulations and devices for precision medicine applications must be tunable and multiresponsive to treat heterogeneous patient populations in a calibrated and individual manner. We engineered modular poly(acrylamide-co-methacrylic acid) copolymers, cross-linked into multiresponsive nanogels with either a nondegradable or degradable disulfide cross-linker, that were customized via orthogonal chemistries to target biomarkers of an individual patient’s disease or deliver multiple therapeutic modalities. Upon modification with functional small molecules, peptides, or proteins, these nanomaterials delivered methylene blue with environmental responsiveness, transduced visible light for photothermal therapy, acted as a functional enzyme, or promoted uptake by cells. In addition to quantifying the nanogels’ composition, physicochemical characteristics, and cytotoxicity, we used a QCM-D method for characterizing nanomaterial degradation and a high-throughput assay for cellular uptake. In conclusion, we generated a tunable nanogel composition for precision medicine applications and new quantitative protocols for assessing the bioactivity of similar platforms. |
format | Online Article Text |
id | pubmed-6764836 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67648362019-10-09 Synthetic networks with tunable responsiveness, biodegradation, and molecular recognition for precision medicine applications Clegg, John R. Irani, Afshan S. Ander, Eric W. Ludolph, Catherine M. Venkataraman, Abhijeet K. Zhong, Justin X. Peppas, Nicholas A. Sci Adv Research Articles Formulations and devices for precision medicine applications must be tunable and multiresponsive to treat heterogeneous patient populations in a calibrated and individual manner. We engineered modular poly(acrylamide-co-methacrylic acid) copolymers, cross-linked into multiresponsive nanogels with either a nondegradable or degradable disulfide cross-linker, that were customized via orthogonal chemistries to target biomarkers of an individual patient’s disease or deliver multiple therapeutic modalities. Upon modification with functional small molecules, peptides, or proteins, these nanomaterials delivered methylene blue with environmental responsiveness, transduced visible light for photothermal therapy, acted as a functional enzyme, or promoted uptake by cells. In addition to quantifying the nanogels’ composition, physicochemical characteristics, and cytotoxicity, we used a QCM-D method for characterizing nanomaterial degradation and a high-throughput assay for cellular uptake. In conclusion, we generated a tunable nanogel composition for precision medicine applications and new quantitative protocols for assessing the bioactivity of similar platforms. American Association for the Advancement of Science 2019-09-27 /pmc/articles/PMC6764836/ /pubmed/31598554 http://dx.doi.org/10.1126/sciadv.aax7946 Text en Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Clegg, John R. Irani, Afshan S. Ander, Eric W. Ludolph, Catherine M. Venkataraman, Abhijeet K. Zhong, Justin X. Peppas, Nicholas A. Synthetic networks with tunable responsiveness, biodegradation, and molecular recognition for precision medicine applications |
title | Synthetic networks with tunable responsiveness, biodegradation, and molecular recognition for precision medicine applications |
title_full | Synthetic networks with tunable responsiveness, biodegradation, and molecular recognition for precision medicine applications |
title_fullStr | Synthetic networks with tunable responsiveness, biodegradation, and molecular recognition for precision medicine applications |
title_full_unstemmed | Synthetic networks with tunable responsiveness, biodegradation, and molecular recognition for precision medicine applications |
title_short | Synthetic networks with tunable responsiveness, biodegradation, and molecular recognition for precision medicine applications |
title_sort | synthetic networks with tunable responsiveness, biodegradation, and molecular recognition for precision medicine applications |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764836/ https://www.ncbi.nlm.nih.gov/pubmed/31598554 http://dx.doi.org/10.1126/sciadv.aax7946 |
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