Cargando…

Recent Advancements in Electrochemical Biosensors for Alzheimer’s Disease Biomarkers Detection

BACKGROUND: It is estimated that the average time between the diagnosis of Alzheimer’s disease (AD) and the patient’s death is 5-9 years. Therefore, both the initial phase of the disease and the preclinical state can be included in the critical period in disease diagnosis. Accordingly, huge progress...

Descripción completa

Detalles Bibliográficos
Autor principal: Mikuła, Edyta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287894/
https://www.ncbi.nlm.nih.gov/pubmed/33176635
http://dx.doi.org/10.2174/0929867327666201111141341
_version_ 1783723997324640256
author Mikuła, Edyta
author_facet Mikuła, Edyta
author_sort Mikuła, Edyta
collection PubMed
description BACKGROUND: It is estimated that the average time between the diagnosis of Alzheimer’s disease (AD) and the patient’s death is 5-9 years. Therefore, both the initial phase of the disease and the preclinical state can be included in the critical period in disease diagnosis. Accordingly, huge progress has recently been observed in biomarker research to identify risk factors for dementia in older people with normal cognitive functions and mild cognitive impairments. METHODS: Electrochemical biosensors are excellent analytical tools that are used in the detection of AD biomarkers as they are easy to use, portable, and can do analysis in real time. RESULTS: This review presents the analytical techniques currently used to determine AD biomarkers in terms of their advantages and disadvantages; the most important clinical biomarkers of AD and their role in the disease. All recently used biorecognition molecules in electrochemical biosensor development, i.e., receptor protein, antibodies, aptamers and nucleic acids, are summarized for the first time. Novel electrochemical biosensors for AD biomarker detection, as ideal analytical platforms for point-of-care diagnostics, are also reviewed. CONCLUSION: The article focuses on various strategies of biosensor chemical surface modifications to immobilize biorecognition molecules, enabling specific, quantitative AD biomarker detection in synthetic and clinical samples. In addition, this is the first review that presents innovative single-platform systems for simultaneous detection of multiple biomarkers and other important AD-associated biological species based on electrochemical techniques. The importance of these platforms in disease diagnosis is discussed.
format Online
Article
Text
id pubmed-8287894
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Bentham Science Publishers
record_format MEDLINE/PubMed
spelling pubmed-82878942021-08-02 Recent Advancements in Electrochemical Biosensors for Alzheimer’s Disease Biomarkers Detection Mikuła, Edyta Curr Med Chem Article BACKGROUND: It is estimated that the average time between the diagnosis of Alzheimer’s disease (AD) and the patient’s death is 5-9 years. Therefore, both the initial phase of the disease and the preclinical state can be included in the critical period in disease diagnosis. Accordingly, huge progress has recently been observed in biomarker research to identify risk factors for dementia in older people with normal cognitive functions and mild cognitive impairments. METHODS: Electrochemical biosensors are excellent analytical tools that are used in the detection of AD biomarkers as they are easy to use, portable, and can do analysis in real time. RESULTS: This review presents the analytical techniques currently used to determine AD biomarkers in terms of their advantages and disadvantages; the most important clinical biomarkers of AD and their role in the disease. All recently used biorecognition molecules in electrochemical biosensor development, i.e., receptor protein, antibodies, aptamers and nucleic acids, are summarized for the first time. Novel electrochemical biosensors for AD biomarker detection, as ideal analytical platforms for point-of-care diagnostics, are also reviewed. CONCLUSION: The article focuses on various strategies of biosensor chemical surface modifications to immobilize biorecognition molecules, enabling specific, quantitative AD biomarker detection in synthetic and clinical samples. In addition, this is the first review that presents innovative single-platform systems for simultaneous detection of multiple biomarkers and other important AD-associated biological species based on electrochemical techniques. The importance of these platforms in disease diagnosis is discussed. Bentham Science Publishers 2021-06 2021-06 /pmc/articles/PMC8287894/ /pubmed/33176635 http://dx.doi.org/10.2174/0929867327666201111141341 Text en © 2021 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Mikuła, Edyta
Recent Advancements in Electrochemical Biosensors for Alzheimer’s Disease Biomarkers Detection
title Recent Advancements in Electrochemical Biosensors for Alzheimer’s Disease Biomarkers Detection
title_full Recent Advancements in Electrochemical Biosensors for Alzheimer’s Disease Biomarkers Detection
title_fullStr Recent Advancements in Electrochemical Biosensors for Alzheimer’s Disease Biomarkers Detection
title_full_unstemmed Recent Advancements in Electrochemical Biosensors for Alzheimer’s Disease Biomarkers Detection
title_short Recent Advancements in Electrochemical Biosensors for Alzheimer’s Disease Biomarkers Detection
title_sort recent advancements in electrochemical biosensors for alzheimer’s disease biomarkers detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287894/
https://www.ncbi.nlm.nih.gov/pubmed/33176635
http://dx.doi.org/10.2174/0929867327666201111141341
work_keys_str_mv AT mikułaedyta recentadvancementsinelectrochemicalbiosensorsforalzheimersdiseasebiomarkersdetection