Early Diagnostic of Parkinson's Disease by Nano Detection of the Biomarker Alpha-Synuclein

In recent years, Parkinson's Disease (PD) has become a more global issue, impacting over 10 million people worldwide, and is expected to rise continually due to an increase in the aging population. As slowing down the disease progression is its only treatment, diagnosing the disease as early as possible is critical for an effective intervention. Thus, finding a biomarker that accurately and consistently reflects the early stages of PD is necessary. In recent studies, researchers have analyzed many biomarkers and identified several that allow for an accurate and early diagnosis of the disease. In particular, alpha-synuclein (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>-syn) and its oligomers (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>-syn olig) showed potential for a widespread screening and an early noninvasive diagnosis. This study aims to detect salivary <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>-syn and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>-syn olig at low concentrations, utilizing surface-enhanced Raman scattering (SERS) spectroscopy. By enabling the analysis of biomarker concentration in different fluids combined with silver nanoparticles (Ag np), this method would develop a diagnostic procedure for the early stages of the disease. This study employed various experimental techniques to analyze the biomarker under different circumstances by demonstrating the functioning of silver nanoparticles on <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>-syn, finding a concentration-signal intensity curve, and simulating in artificial salivary samples. The outcomes of this study may enhance future research in Parkinson's Disease and other biomarker-based diagnostics, improving the quality of life of many people.

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Published
2025-07-13
DOI
https://doi.org/10.1109/nano63165.2025.11113764
Primary Topic
Electrochemical sensors and biosensors
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article
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article

Early Diagnostic of Parkinson's Disease by Nano Detection of the Biomarker Alpha-Synuclein

Claire Liu, Arthur McClelland, Tingying Helen Zeng
3 links
Electrochemical sensors and biosensors
article

Early Diagnostic of Parkinson's Disease by Nano Detection of the Biomarker Alpha-Synuclein

Claire Liu, Arthur McClelland, Tingying Helen Zeng
article en

Abstract

In recent years, Parkinson's Disease (PD) has become a more global issue, impacting over 10 million people worldwide, and is expected to rise continually due to an increase in the aging population. As slowing down the disease progression is its only treatment, diagnosing the disease as early as possible is critical for an effective intervention. Thus, finding a biomarker that accurately and consistently reflects the early stages of PD is necessary. In recent studies, researchers have analyzed many biomarkers and identified several that allow for an accurate and early diagnosis of the disease. In particular, alpha-synuclein (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>-syn) and its oligomers (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>-syn olig) showed potential for a widespread screening and an early noninvasive diagnosis. This study aims to detect salivary <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>-syn and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>-syn olig at low concentrations, utilizing surface-enhanced Raman scattering (SERS) spectroscopy. By enabling the analysis of biomarker concentration in different fluids combined with silver nanoparticles (Ag np), this method would develop a diagnostic procedure for the early stages of the disease. This study employed various experimental techniques to analyze the biomarker under different circumstances by demonstrating the functioning of silver nanoparticles on <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\alpha$</tex>-syn, finding a concentration-signal intensity curve, and simulating in artificial salivary samples. The outcomes of this study may enhance future research in Parkinson's Disease and other biomarker-based diagnostics, improving the quality of life of many people.

Lexington City Schools (US), Inner Health (US), NanoScale Corporation (United States) (US)
Openalex Percentile: Top 81%
Electrochemical sensors and biosensors
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