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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
Published on: January 28, 2014
Biomarcadores
1University of Ghana, Accra, Greater Accra, Ghana.
Background:
Neurodegenerative disorders like Alzheimer's disease present growing public health challenges. Clinical diagnosis faces limitations, making biomarkers increasingly vital for research, clinical trials, and patient assessments. Current biomarkers, including amyloid-β peptide, tau proteins, cerebrospinal fluid levels, and neuroimaging techniques, while effective, are often invasive and costly. Blood-based biomarkers offer a noninvasive, affordable, and reliable alternative for monitoring neurodegeneration.
Method:
This review explored recent advancements in blood-based biomarkers, focusing on plasma neurofilament light (NfL) and CSF NfL, and their application in diagnosing and monitoring Alzheimer's disease.
Result:
The review identified strong associations between Alzheimer's disease (AD) and key biomarkers. Core CSF markers, including T-tau, p-tau, and Aβ42, showed significant diagnostic value, with p-tau elevated by 181% and Aβ42 reduced by 46% in individuals with mild cognitive impairment (MCI) due to AD. Elevated plasma and CSF NfL levels correlated with a 25-40% reduction in [18F]FDG uptake and a 2.5% annual hippocampal volume loss, compared to 1% in controls. Plasma p-tau, combined with the Aβ42/Aβ40 ratio, demonstrated over 85% diagnostic accuracy for symptomatic AD stages, while CSF NfL predicted cognitive decline with 80% accuracy. Although blood NfL is not AD-specific, it reliably detects neurodegeneration and monitors treatment efficacy. These findings highlight the promise of integrating blood-based biomarkers with CSF markers for improved AD diagnosis and management.
Conclusion:
Blood-based biomarkers, particularly NfL and plasma p-tau, represent a transformative advancement in the diagnosis and management of Alzheimer's disease. Their integration with consistent CSF biomarkers (T-tau, p-tau, Aβ42, and NfL) is strongly recommended for both clinical applications and research, offering a more accessible and reliable approach to addressing the challenges of Alzheimer's disease diagnosis and care.
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