Cargando…

Infection-Mediated Clinical Biomarkers for a COVID-19 Electrical Biosensing Platform

The race towards the development of user-friendly, portable, fast-detection, and low-cost devices for healthcare systems has become the focus of effective screening efforts since the pandemic attack in December 2019, which is known as the coronavirus disease 2019 (COVID-19) pandemic. Currently exist...

Descripción completa

Detalles Bibliográficos
Autores principales: Selvarajan, Reena Sri, Gopinath, Subash C. B., Zin, Noraziah Mohamad, Hamzah, Azrul Azlan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198817/
https://www.ncbi.nlm.nih.gov/pubmed/34205852
http://dx.doi.org/10.3390/s21113829
_version_ 1783707229173579776
author Selvarajan, Reena Sri
Gopinath, Subash C. B.
Zin, Noraziah Mohamad
Hamzah, Azrul Azlan
author_facet Selvarajan, Reena Sri
Gopinath, Subash C. B.
Zin, Noraziah Mohamad
Hamzah, Azrul Azlan
author_sort Selvarajan, Reena Sri
collection PubMed
description The race towards the development of user-friendly, portable, fast-detection, and low-cost devices for healthcare systems has become the focus of effective screening efforts since the pandemic attack in December 2019, which is known as the coronavirus disease 2019 (COVID-19) pandemic. Currently existing techniques such as RT-PCR, antigen–antibody-based detection, and CT scans are prompt solutions for diagnosing infected patients. However, the limitations of currently available indicators have enticed researchers to search for adjunct or additional solutions for COVID-19 diagnosis. Meanwhile, identifying biomarkers or indicators is necessary for understanding the severity of the disease and aids in developing efficient drugs and vaccines. Therefore, clinical studies on infected patients revealed that infection-mediated clinical biomarkers, especially pro-inflammatory cytokines and acute phase proteins, are highly associated with COVID-19. These biomarkers are undermined or overlooked in the context of diagnosis and prognosis evaluation of infected patients. Hence, this review discusses the potential implementation of these biomarkers for COVID-19 electrical biosensing platforms. The secretion range for each biomarker is reviewed based on clinical studies. Currently available electrical biosensors comprising electrochemical and electronic biosensors associated with these biomarkers are discussed, and insights into the use of infection-mediated clinical biomarkers as prognostic and adjunct diagnostic indicators in developing an electrical-based COVID-19 biosensor are provided.
format Online
Article
Text
id pubmed-8198817
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-81988172021-06-14 Infection-Mediated Clinical Biomarkers for a COVID-19 Electrical Biosensing Platform Selvarajan, Reena Sri Gopinath, Subash C. B. Zin, Noraziah Mohamad Hamzah, Azrul Azlan Sensors (Basel) Review The race towards the development of user-friendly, portable, fast-detection, and low-cost devices for healthcare systems has become the focus of effective screening efforts since the pandemic attack in December 2019, which is known as the coronavirus disease 2019 (COVID-19) pandemic. Currently existing techniques such as RT-PCR, antigen–antibody-based detection, and CT scans are prompt solutions for diagnosing infected patients. However, the limitations of currently available indicators have enticed researchers to search for adjunct or additional solutions for COVID-19 diagnosis. Meanwhile, identifying biomarkers or indicators is necessary for understanding the severity of the disease and aids in developing efficient drugs and vaccines. Therefore, clinical studies on infected patients revealed that infection-mediated clinical biomarkers, especially pro-inflammatory cytokines and acute phase proteins, are highly associated with COVID-19. These biomarkers are undermined or overlooked in the context of diagnosis and prognosis evaluation of infected patients. Hence, this review discusses the potential implementation of these biomarkers for COVID-19 electrical biosensing platforms. The secretion range for each biomarker is reviewed based on clinical studies. Currently available electrical biosensors comprising electrochemical and electronic biosensors associated with these biomarkers are discussed, and insights into the use of infection-mediated clinical biomarkers as prognostic and adjunct diagnostic indicators in developing an electrical-based COVID-19 biosensor are provided. MDPI 2021-06-01 /pmc/articles/PMC8198817/ /pubmed/34205852 http://dx.doi.org/10.3390/s21113829 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Selvarajan, Reena Sri
Gopinath, Subash C. B.
Zin, Noraziah Mohamad
Hamzah, Azrul Azlan
Infection-Mediated Clinical Biomarkers for a COVID-19 Electrical Biosensing Platform
title Infection-Mediated Clinical Biomarkers for a COVID-19 Electrical Biosensing Platform
title_full Infection-Mediated Clinical Biomarkers for a COVID-19 Electrical Biosensing Platform
title_fullStr Infection-Mediated Clinical Biomarkers for a COVID-19 Electrical Biosensing Platform
title_full_unstemmed Infection-Mediated Clinical Biomarkers for a COVID-19 Electrical Biosensing Platform
title_short Infection-Mediated Clinical Biomarkers for a COVID-19 Electrical Biosensing Platform
title_sort infection-mediated clinical biomarkers for a covid-19 electrical biosensing platform
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198817/
https://www.ncbi.nlm.nih.gov/pubmed/34205852
http://dx.doi.org/10.3390/s21113829
work_keys_str_mv AT selvarajanreenasri infectionmediatedclinicalbiomarkersforacovid19electricalbiosensingplatform
AT gopinathsubashcb infectionmediatedclinicalbiomarkersforacovid19electricalbiosensingplatform
AT zinnoraziahmohamad infectionmediatedclinicalbiomarkersforacovid19electricalbiosensingplatform
AT hamzahazrulazlan infectionmediatedclinicalbiomarkersforacovid19electricalbiosensingplatform