| Literature DB >> 32066283 |
Filippo Baldacci1,2, Sonia Mazzucchi1, Alessandra Della Vecchia1, Linda Giampietri1, Nicola Giannini1, Maya Koronyo-Hamaoui3,4, Roberto Ceravolo1, Gabriele Siciliano1, Ubaldo Bonuccelli1, Fanny M Elahi5, Andrea Vergallo2,6,7, Simone Lista2,6,7, Filippo Sean Giorgi1, Harald Hampel2.
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.Entities:
Keywords: Alzheimer’s disease; Parkinson disease; amyotrophic lateral sclerosis; biomarkers; cerebral amyloid angiopathy
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Year: 2020 PMID: 32066283 PMCID: PMC7445079 DOI: 10.1080/14737159.2020.1731306
Source DB: PubMed Journal: Expert Rev Mol Diagn ISSN: 1473-7159 Impact factor: 5.225