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@ARTICLE{Schmitz:164069,
author = {Schmitz, Matthias and Villar-Piqué, Anna and Hermann,
Peter and Escaramís, Geòrgia and Calero, Miguel and Chen,
Cao and Kruse, Niels and Cramm, Maria and Golanska, Ewa and
Sikorska, Beata and Liberski, Pawel P and Pocchiari,
Maurizio and Lange, Peter and Stehmann, Christiane and
Sarros, Shannon and Martí, Eulàlia and Baldeiras, Inês
and Santana, Isabel and Žáková, Dana and Mitrová, Eva
and Dong, Xiao-Ping and Collins, Steven and Poleggi, Anna
and Ladogana, Anna and Mollenhauer, Brit and Kovacs, Gabor G
and Geschwind, Michael D and Sánchez-Valle, Raquel and
Zerr, Inga and Llorens Torres, Francesc Josep},
title = {{D}iagnostic accuracy of cerebrospinal fluid biomarkers in
genetic prion diseases.},
journal = {Brain},
volume = {145},
number = {2},
issn = {0006-8950},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {DZNE-2022-00732},
pages = {700 - 712},
year = {2022},
note = {(CC BY-NC)},
abstract = {Genetic prion diseases are a rare and diverse group of
fatal neurodegenerative disorders caused by pathogenic
sequence variations in the prion protein gene, PRNP. Data on
CSF biomarkers in patients with genetic prion diseases are
limited and conflicting results have been reported for
unclear reasons. Here, we aimed to analyse the diagnostic
accuracy of CSF biomarkers currently used in prion clinical
diagnosis in 302 symptomatic genetic prion disease cases
from 11 prion diagnostic centres, encompassing a total of 36
different pathogenic sequence variations within the open
reading frame of PRNP. CSF samples were assessed for the
surrogate markers of neurodegeneration, 14-3-3 protein
(14-3-3), total-tau protein (t-tau) and α-synuclein and for
prion seeding activity through the real-time quaking-induced
conversion assay. Biomarker results were compared with those
obtained in healthy and neurological controls. For the most
prevalent PRNP pathogenic sequence variations, biomarker
accuracy and associations between biomarkers, demographic
and genetic determinants were assessed. Additionally, the
prognostic value of biomarkers for predicting total disease
duration from symptom onset to death was investigated. High
sensitivity of the four biomarkers was detected for genetic
Creutzfeldt-Jakob disease associated with the E200K and
V210I mutations, but low sensitivity was observed for
mutations associated with Gerstmann-Sträussler-Scheinker
syndrome and fatal familial insomnia. All biomarkers showed
good to excellent specificity using the standard cut-offs
often used for sporadic Creutzfeldt-Jakob disease. In
genetic prion diseases related to octapeptide repeat
insertions, the biomarker sensitivity correlated with the
number of repeats. New genetic prion disease-specific
cut-offs for 14-3-3, t-tau and α-synuclein were calculated.
Disease duration in genetic Creutzfeldt-Jakob disease-E200K,
Gerstmann-Sträussler-Scheinker-P102L and fatal familial
insomnia was highly dependent on PRNP codon 129 MV
polymorphism and was significantly associated with biomarker
levels. In a large cohort of genetic prion diseases, the
simultaneous analysis of CSF prion disease biomarkers
allowed the determination of new mutation-specific cut-offs
improving the discrimination of genetic prion disease cases
and unveiled genetic prion disease-specific associations
with disease duration.},
keywords = {Biomarkers: cerebrospinal fluid / Creutzfeldt-Jakob
Syndrome: diagnosis / Creutzfeldt-Jakob Syndrome: genetics /
Humans / Insomnia, Fatal Familial: genetics / Prion
Diseases: diagnosis / Prion Diseases: genetics / Prion
Proteins: genetics / Prions: genetics / alpha-Synuclein /
biomarker (Other) / cerebrospinal fluid (Other) / diagnostic
marker (Other) / genetic prion diseases (Other) / Biomarkers
(NLM Chemicals) / Prion Proteins (NLM Chemicals) / Prions
(NLM Chemicals) / alpha-Synuclein (NLM Chemicals)},
cin = {AG Zerr / Ext UMG Zerr},
ddc = {610},
cid = {I:(DE-2719)1440011-1 / I:(DE-2719)5000037},
pnm = {353 - Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:35288744},
pmc = {pmc:PMC9014756},
doi = {10.1093/brain/awab350},
url = {https://pub.dzne.de/record/164069},
}