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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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Potential Fluid Biomarkers for the Diagnosis of Mild Cognitive Impairment

Vo Van Giau1, Eva Bagyinszky2, Seong Soo A An3

  • 1Department of BionanoTechnology, Gachon University, 1342 Sungnam Daero, Sungnamsi 13120, Korea.

International Journal of Molecular Sciences
|August 28, 2019
PubMed

Insights

Mild cognitive impairment (MCI) is a transitional stage between normal aging and dementia. This review focuses on blood-based biomarkers for predicting Alzheimer's disease progression from MCI.

Area of Science:

  • Neurology
  • Biochemistry
  • Gerontology

Background:

  • Mild cognitive impairment (MCI) signifies a cognitive decline below normal aging but above dementia levels.
  • MCI is a critical transitional phase, particularly concerning progression to Alzheimer's disease (AD).

Purpose of the Study:

  • To review the advantages and challenges of current blood-based biomarkers for MCI.
  • To provide an overview of recent studies on MCI biomarkers and their role in predicting AD conversion.

Main Methods:

  • Review of recent scientific literature focusing on cerebrospinal fluid (CSF) and blood-based biomarkers.
  • Analysis of studies examining Aβ40, Aβ42, total tau, and phosphorylated tau levels.

Main Results:

  • Cerebrospinal fluid (CSF) biomarkers like Aβ40, Aβ42, total tau, and phosphorylated tau are established predictors of MCI to AD progression.
  • Emerging blood-based biomarkers show promise but face challenges in widespread clinical application.

Conclusions:

  • Blood-based biomarkers offer a less invasive alternative to CSF analysis for assessing MCI and predicting AD risk.
  • Continued research is crucial to overcome challenges and validate blood biomarkers for routine clinical use in managing MCI.
Keywords:
Alzheimer’s diseasebiomarkersdiagnosismild cognitive impairment

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