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The Role of Salivary Biomarkers in the Early Diagnosis of Alzheimer's Disease and Parkinson's Disease

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DIAGNOSTICS
卷 11, 期 2, 页码 -

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MDPI
DOI: 10.3390/diagnostics11020371

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salivary biomarkers; neurodegenerative diseases; Alzheimer's disease; Parkinson's disease; alpha-synuclein; beta-amyloid; oxidative stress; TAU

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Neurodegenerative diseases result in progressive neuronal degeneration, emphasizing the need for early screening and diagnosis. Biomarkers show promise for early detection, with saliva being explored as a potential non-invasive diagnostic tool. Research on salivary biomarkers for Alzheimer's and Parkinson's diseases continues, aiming to identify correlations between specific biomarkers and early clinical symptoms for improved treatment strategies.
Many neurodegenerative diseases present with progressive neuronal degeneration, which can lead to cognitive and motor impairment. Early screening and diagnosis of neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD) are necessary to begin treatment before the onset of clinical symptoms and slow down the progression of the disease. Biomarkers have shown great potential as a diagnostic tool in the early diagnosis of many diseases, including AD and PD. However, screening for these biomarkers usually includes invasive, complex and expensive methods such as cerebrospinal fluid (CSF) sampling through a lumbar puncture. Researchers are continuously seeking to find a simpler and more reliable diagnostic tool that would be less invasive than CSF sampling. Saliva has been studied as a potential biological fluid that could be used in the diagnosis and early screening of neurodegenerative diseases. This review aims to provide an insight into the current literature concerning salivary biomarkers used in the diagnosis of AD and PD. The most commonly studied salivary biomarkers in AD are beta-amyloid(1-42/1-40) and TAU protein, as well as alpha-synuclein and protein deglycase (DJ-1) in PD. Studies continue to be conducted on this subject and researchers are attempting to find correlations between specific biomarkers and early clinical symptoms, which could be key in creating new treatments for patients before the onset of symptoms.

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