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Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of Disease
Self‐reporting implantable medical devices are the future of cardiovascular healthcare. Cardiovascular complications such as blocked arteries that lead to the majority of heart attacks and strokes are frequently treated with inert metal stents that reopen affected vessels. Stents frequently re‐block...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130883/ https://www.ncbi.nlm.nih.gov/pubmed/35322587 http://dx.doi.org/10.1002/advs.202105285 |
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author | Hoare, Daniel Tsiamis, Andreas Marland, Jamie R. K. Czyzewski, Jakub Kirimi, Mahmut T. Holsgrove, Michael Russell, Ewan Neale, Steven L. Mirzai, Nosrat Mitra, Srinjoy Mercer, John R. |
author_facet | Hoare, Daniel Tsiamis, Andreas Marland, Jamie R. K. Czyzewski, Jakub Kirimi, Mahmut T. Holsgrove, Michael Russell, Ewan Neale, Steven L. Mirzai, Nosrat Mitra, Srinjoy Mercer, John R. |
author_sort | Hoare, Daniel |
collection | PubMed |
description | Self‐reporting implantable medical devices are the future of cardiovascular healthcare. Cardiovascular complications such as blocked arteries that lead to the majority of heart attacks and strokes are frequently treated with inert metal stents that reopen affected vessels. Stents frequently re‐block after deployment due to a wound response called in‐stent restenosis (ISR). Herein, an implantable miniaturized sensor and telemetry system are developed that can detect this process, discern the different cell types associated with ISR, distinguish sub plaque components as demonstrated with ex vivo samples, and differentiate blood from blood clot, all on a silicon substrate making it suitable for integration onto a vascular stent. This work shows that microfabricated sensors can provide clinically relevant information in settings closer to physiological conditions than previous work with cultured cells. |
format | Online Article Text |
id | pubmed-9130883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91308832022-05-26 Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of Disease Hoare, Daniel Tsiamis, Andreas Marland, Jamie R. K. Czyzewski, Jakub Kirimi, Mahmut T. Holsgrove, Michael Russell, Ewan Neale, Steven L. Mirzai, Nosrat Mitra, Srinjoy Mercer, John R. Adv Sci (Weinh) Research Articles Self‐reporting implantable medical devices are the future of cardiovascular healthcare. Cardiovascular complications such as blocked arteries that lead to the majority of heart attacks and strokes are frequently treated with inert metal stents that reopen affected vessels. Stents frequently re‐block after deployment due to a wound response called in‐stent restenosis (ISR). Herein, an implantable miniaturized sensor and telemetry system are developed that can detect this process, discern the different cell types associated with ISR, distinguish sub plaque components as demonstrated with ex vivo samples, and differentiate blood from blood clot, all on a silicon substrate making it suitable for integration onto a vascular stent. This work shows that microfabricated sensors can provide clinically relevant information in settings closer to physiological conditions than previous work with cultured cells. John Wiley and Sons Inc. 2022-03-24 /pmc/articles/PMC9130883/ /pubmed/35322587 http://dx.doi.org/10.1002/advs.202105285 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Hoare, Daniel Tsiamis, Andreas Marland, Jamie R. K. Czyzewski, Jakub Kirimi, Mahmut T. Holsgrove, Michael Russell, Ewan Neale, Steven L. Mirzai, Nosrat Mitra, Srinjoy Mercer, John R. Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of Disease |
title | Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of Disease |
title_full | Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of Disease |
title_fullStr | Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of Disease |
title_full_unstemmed | Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of Disease |
title_short | Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of Disease |
title_sort | predicting cardiovascular stent complications using self‐reporting biosensors for noninvasive detection of disease |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130883/ https://www.ncbi.nlm.nih.gov/pubmed/35322587 http://dx.doi.org/10.1002/advs.202105285 |
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