Electrochemical Aptasensors for Parkinson’s Disease Biomarkers Detection

Author:

Mikuła Edyta1ORCID,Katrlík Jaroslav2ORCID,Rodrigues Ligia R.3ORCID

Affiliation:

1. Department of Biosensors, Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, Tuwima 10, Olsztyn 10-748, Poland

2. Institute of Chemistry, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava 84538, Slovakia

3. Centre of Biological Engineering, Universidade do Minho, Campus de Gualtar, Braga 4710-057, Portugal

Abstract

Background: Biomarkers are characteristic molecules that can be measured as indicators of biological process status or condition, exhibiting special relevance in Parkinson’s Disease (PD). This disease is a chronic neurodegenerative disorder very difficult to study given the site of pathology and due to a clinical phenotype that fluctuates over time. Currently there is no definitive diagnostic test, thus clinicians hope that the detection of crucial biomarkers will help to the symptomatic and presymptomatic diagnostics and providing surrogate endpoints to demonstrate the clinical efficacy of new treatments. Methods: Electrochemical aptasensors are excellent analytical tools that are used in the detection of PD biomarkers, as they are portable, easy to use, and perform real-time analysis. Results: In this review, we discuss the most important clinical biomarkers for PD, highlighting their physiological role and function in the disease. Herein, we review for the first time innovative aptasensors for the detection of current potential PD biomarkers based on electrochemical techniques and discuss future alternatives, including ideal analytical platforms for point-of-care diagnostics. Conclusion: These new tools will be critical not only in the discovery of sensitive, specific, and reliable biomarkers of preclinical PD, but also in the development of tests that can assist in the early detection and differential diagnosis of parkinsonian disorders and in monitoring disease progression. Various methods for fixing aptamers onto the sensor surfaces, enabling quantitative and specific PD biomarker detection present in synthetic and clinical samples, will also be discussed.

Funder

VEGA

Fundação para, Ciência e Tecnologia

COMPETE 2020

Publisher

Bentham Science Publishers Ltd.

Subject

Pharmacology,Molecular Medicine,Drug Discovery,Biochemistry,Organic Chemistry

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning Methods for Predicting Parkinson's Disease Progression;2023 IEEE 13th International Conference on Electronics and Information Technologies (ELIT);2023-09-26

2. Aptamer-Based Biosensors For Biomarkers Detection (Part I);Current Medicinal Chemistry;2022-11

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