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Adv Pharm Bull. 2023;13(3): 502-511.
doi: 10.34172/apb.2023.061
PMID: 37646056
PMCID: PMC10460811
  Abstract View: 889
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Tau Protein Biosensors in the Diagnosis of Neurodegenerative Diseases

Jafar Sadeghzadeh 1 ORCID logo, Parviz Shahabi 2* ORCID logo, Mehdi Farhoudi 1, Abbas Ebrahimi-Kalan 3, Ahmad Mobed 4* ORCID logo, Kourosh Shahpasand 5

1 Department of Neurosciences and Cognition, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
2 Department of Physiology, School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
3 Neuroscience Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
4 Physical Medicine and Rehabilitation Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
5 Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology (RI-SCBT), Tehran, Iran.
*Corresponding Authors: Parviz Shahabi, Email: ; Ahmad Mobed, Email: Mobeda@tbzmed.ac.ir

Abstract

Tau protein plays a crucial role in diagnosing neurodegenerative diseases. However, performing an assay to detect tau protein on a nanoscale is a great challenge for early diagnosis of diseases. Enzyme-linked immunosorbent assay (ELISA), western-blotting, and molecular-based methods, e.g., PCR and real-time PCR, are the most widely used methods for detecting tau protein. These methods are subject to certain limitations: the need for advanced equipment, low sensitivity, and specificity, to name a few. With the above said, it is necessary to discover advanced and novel methods for monitoring tau protein. Counted among remarkable approaches adopted by researchers, biosensors can largely eliminate the difficulties and limitations associated with conventional methods. The main objective of the present study is to review the latest biosensors developed to detect the tau protein. Furthermore, the problems and limitations of conventional diagnosis methods were discussed in detail.
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Submitted: 02 Jul 2022
Revision: 01 Oct 2022
Accepted: 02 Nov 2022
ePublished: 04 Nov 2022
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