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The path to biomarker-based diagnostic criteria for the spectrum of neurodegenerative diseases.

Authors :
Baldacci F
Mazzucchi S
Della Vecchia A
Giampietri L
Giannini N
Koronyo-Hamaoui M
Ceravolo R
Siciliano G
Bonuccelli U
Elahi FM
Vergallo A
Lista S
Giorgi FS
Hampel H
Source :
Expert review of molecular diagnostics [Expert Rev Mol Diagn] 2020 Apr; Vol. 20 (4), pp. 421-441. Date of Electronic Publication: 2020 Feb 27.
Publication Year :
2020

Abstract

Introduction : The postmortem examination still represents the reference standard for detecting the pathological nature of chronic neurodegenerative diseases (NDD). This approach displays intrinsic conceptual limitations since NDD represent a dynamic spectrum of partially overlapping phenotypes, shared pathomechanistic alterations that often give rise to mixed pathologies. Areas covered : We scrutinized the international clinical diagnostic criteria of NDD and the literature to provide a roadmap toward a biomarker-based classification of the NDD spectrum . A few pathophysiological biomarkers have been established for NDD. These are time-consuming, invasive, and not suitable for preclinical detection. Candidate screening biomarkers are gaining momentum. Blood neurofilament light-chain represents a robust first-line tool to detect neurodegeneration tout court and serum progranulin helps detect genetic frontotemporal dementia. Ultrasensitive assays and retinal scans may identify Aβ pathology early, in blood and the eye, respectively. Ultrasound also represents a minimally invasive option to investigate the substantia nigra . Protein misfolding amplification assays may accurately detect α-synuclein in biofluids. Expert opinion : Data-driven strategies using quantitative rather than categorical variables may be more reliable for quantification of contributions from pathophysiological mechanisms and their spatial-temporal evolution. A systems biology approach is suitable to untangle the dynamics triggering loss of proteostasis, driving neurodegeneration and clinical evolution.

Details

Language :
English
ISSN :
1744-8352
Volume :
20
Issue :
4
Database :
MEDLINE
Journal :
Expert review of molecular diagnostics
Publication Type :
Academic Journal
Accession number :
32066283
Full Text :
https://doi.org/10.1080/14737159.2020.1731306