Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of Disease
Abstract 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...
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Format: | Article |
Language: | English |
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Wiley
2022-05-01
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Series: | Advanced Science |
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Online Access: | https://doi.org/10.1002/advs.202105285 |
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author | Daniel Hoare Andreas Tsiamis Jamie R. K. Marland Jakub Czyzewski Mahmut T. Kirimi Michael Holsgrove Ewan Russell Steven L. Neale Nosrat Mirzai Srinjoy Mitra John R. Mercer |
author_facet | Daniel Hoare Andreas Tsiamis Jamie R. K. Marland Jakub Czyzewski Mahmut T. Kirimi Michael Holsgrove Ewan Russell Steven L. Neale Nosrat Mirzai Srinjoy Mitra John R. Mercer |
author_sort | Daniel Hoare |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-04-14T00:14:03Z |
format | Article |
id | doaj.art-320f38c1304f490493c804a247617ef6 |
institution | Directory Open Access Journal |
issn | 2198-3844 |
language | English |
last_indexed | 2024-04-14T00:14:03Z |
publishDate | 2022-05-01 |
publisher | Wiley |
record_format | Article |
series | Advanced Science |
spelling | doaj.art-320f38c1304f490493c804a247617ef62022-12-22T02:23:13ZengWileyAdvanced Science2198-38442022-05-01915n/an/a10.1002/advs.202105285Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of DiseaseDaniel Hoare0Andreas Tsiamis1Jamie R. K. Marland2Jakub Czyzewski3Mahmut T. Kirimi4Michael Holsgrove5Ewan Russell6Steven L. Neale7Nosrat Mirzai8Srinjoy Mitra9John R. Mercer10Institute of Cardiovascular and Medical Sciences/British Heart Foundation University of Glasgow Glasgow UKSchool of Engineering Institute for Integrated Micro and Nano Systems University of Edinburgh Edinburgh UKSchool of Engineering Institute for Integrated Micro and Nano Systems University of Edinburgh Edinburgh UKBioElectronics Unit College of Medical Veterinary and Life Sciences University of Glasgow Glasgow UKCentre for Medical and Industrial Ultrasonics James Watt School of Engineering University of Glasgow Glasgow UKBioElectronics Unit College of Medical Veterinary and Life Sciences University of Glasgow Glasgow UKCentre for Medical and Industrial Ultrasonics James Watt School of Engineering University of Glasgow Glasgow UKCentre for Medical and Industrial Ultrasonics James Watt School of Engineering University of Glasgow Glasgow UKBioElectronics Unit College of Medical Veterinary and Life Sciences University of Glasgow Glasgow UKSchool of Engineering Institute for Integrated Micro and Nano Systems University of Edinburgh Edinburgh UKInstitute of Cardiovascular and Medical Sciences/British Heart Foundation University of Glasgow Glasgow UKAbstract 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.https://doi.org/10.1002/advs.202105285blood clotcardiovascular diseaserestenosisstentwireless impedance sensor |
spellingShingle | Daniel Hoare Andreas Tsiamis Jamie R. K. Marland Jakub Czyzewski Mahmut T. Kirimi Michael Holsgrove Ewan Russell Steven L. Neale Nosrat Mirzai Srinjoy Mitra John R. Mercer Predicting Cardiovascular Stent Complications Using Self‐Reporting Biosensors for Noninvasive Detection of Disease Advanced Science blood clot cardiovascular disease restenosis stent wireless impedance sensor |
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 | blood clot cardiovascular disease restenosis stent wireless impedance sensor |
url | https://doi.org/10.1002/advs.202105285 |
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