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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Wiley 2022-05-01
Series:Advanced Science
Subjects:
Online Access:https://doi.org/10.1002/advs.202105285
_version_ 1828345567426641920
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
work_keys_str_mv AT danielhoare predictingcardiovascularstentcomplicationsusingselfreportingbiosensorsfornoninvasivedetectionofdisease
AT andreastsiamis predictingcardiovascularstentcomplicationsusingselfreportingbiosensorsfornoninvasivedetectionofdisease
AT jamierkmarland predictingcardiovascularstentcomplicationsusingselfreportingbiosensorsfornoninvasivedetectionofdisease
AT jakubczyzewski predictingcardiovascularstentcomplicationsusingselfreportingbiosensorsfornoninvasivedetectionofdisease
AT mahmuttkirimi predictingcardiovascularstentcomplicationsusingselfreportingbiosensorsfornoninvasivedetectionofdisease
AT michaelholsgrove predictingcardiovascularstentcomplicationsusingselfreportingbiosensorsfornoninvasivedetectionofdisease
AT ewanrussell predictingcardiovascularstentcomplicationsusingselfreportingbiosensorsfornoninvasivedetectionofdisease
AT stevenlneale predictingcardiovascularstentcomplicationsusingselfreportingbiosensorsfornoninvasivedetectionofdisease
AT nosratmirzai predictingcardiovascularstentcomplicationsusingselfreportingbiosensorsfornoninvasivedetectionofdisease
AT srinjoymitra predictingcardiovascularstentcomplicationsusingselfreportingbiosensorsfornoninvasivedetectionofdisease
AT johnrmercer predictingcardiovascularstentcomplicationsusingselfreportingbiosensorsfornoninvasivedetectionofdisease