An Algorithm for Preclinical Diagnosis of Alzheimer's Disease

Frontiers in Neuroscience
Tapan K Khan

Abstract

Almost all Alzheimer's disease (AD) therapeutic trials have failed in recent years. One of the main reasons for failure is due to designing the disease-modifying clinical trials at the advanced stage of the disease when irreversible brain damage has already occurred. Diagnosis of the preclinical stage of AD and therapeutic intervention at this phase, with a perfect target, are key points to slowing the progression of the disease. Various AD biomarkers hold enormous promise for identifying individuals with preclinical AD and predicting the development of AD dementia in the future, but no single AD biomarker has the capability to distinguish the AD preclinical stage. A combination of complimentary AD biomarkers in cerebrospinal fluid (Aβ42, tau, and phosphor-tau), non-invasive neuroimaging, and genetic evidence of AD can detect preclinical AD in the in-vivo ante mortem brain. Neuroimaging studies have examined region-specific cerebral blood flow (CBF) and microstructural changes in the preclinical AD brain. Functional MRI (fMRI), diffusion tensor imaging (DTI) MRI, arterial spin labeling (ASL) MRI, and advanced PET have potential application in preclinical AD diagnosis. A well-validated simple framework for diagnosis of preclinic...Continue Reading

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Citations

May 7, 2019·Acta Ophthalmologica·Jacoba A van de KreekePieter Jelle Visser
Jul 13, 2019·Alzheimer's & Dementia : Translational Research & Clinical Interventions·Rui MauricioUNKNOWN Therapeutics for Dementia Consortium
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Jun 9, 2020·Journal of Alzheimer's Disease : JAD·Enea TrainiFrancesco Amenta
Jul 1, 2020·Journal of Alzheimer's Disease : JAD·Zuzanna AngehrnFrederic de Reydet-de Vulpillieres
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Dec 23, 2019·Ophthalmology·Amani A FawziWaleed Fawzi
May 2, 2021·Neurobiology of Disease·Ilona Har-PazAnan Moran
Jul 3, 2021·Frontiers in Aging Neuroscience·Sanghamitra Bandyopadhyay

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Methods Mentioned

BETA
ELISA

Software Mentioned

IWG
fMRI
rs
AA

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