Diagnostic-prognostic value and electrophysiological correlates of CSF biomarkers of neurodegeneration and neuroinflammation in amyotrophic lateral sclerosis.
Aged
Amyotrophic Lateral Sclerosis
/ cerebrospinal fluid
Biomarkers
/ cerebrospinal fluid
Chitinase-3-Like Protein 1
/ cerebrospinal fluid
Disease Progression
Electromyography
Female
Hexosaminidases
/ cerebrospinal fluid
Humans
Male
Middle Aged
Neurofilament Proteins
/ cerebrospinal fluid
Prognosis
Sensitivity and Specificity
tau Proteins
/ cerebrospinal fluid
Amyotrophic lateral sclerosis
Glial markers
Neurofilament light chain
Phosphorylated tau
Prognosis
Journal
Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161
Informations de publication
Date de publication:
Jun 2020
Jun 2020
Historique:
received:
23
12
2019
accepted:
11
02
2020
revised:
03
02
2020
pubmed:
27
2
2020
medline:
18
3
2021
entrez:
27
2
2020
Statut:
ppublish
Résumé
Neurofilament light chain protein (NfL) is currently the most accurate cerebrospinal fluid (CSF) biomarker in amyotrophic lateral sclerosis (ALS) in terms of both diagnostic and prognostic value, but the mechanism underlying its increase is still a matter of debate. Similarly, emerging CSF biomarkers of neurodegeneration and neuroinflammation showed promising results, although further studies are needed to clarify their clinical and pathophysiological roles. In the present study we compared the diagnostic accuracy of CSF NfL, phosphorylated (p)-tau/total (t)-tau ratio, chitinase-3-like protein 1 (YKL-40) and chitotriosidase 1 (CHIT1), in healthy controls (n = 43) and subjects with ALS (n = 80) or ALS mimics (n = 46). In ALS cases, we also investigated the association between biomarker levels and clinical variables, the extent of upper motor neuron (UMN) and lower motor neuron (LMN) degeneration, and denervation activity through electromyography (EMG). ALS patients showed higher levels of CSF NfL, YKL-40, CHIT1, and lower values of p-tau/t-tau ratio compared to both controls and ALS mimics. Among all biomarkers, NfL yielded the highest diagnostic performance (> 90% sensitivity and specificity) and was the best predictor of disease progression rate and survival in ALS. NfL levels showed a significant correlation with the extent of LMN involvement, whereas YKL-40 levels increased together with the number of areas showing both UMN and LMN damage. EMG denervation activity did not correlate with any CSF biomarker change. These findings confirm the highest value of NfL among currently available CSF biomarkers for the diagnostic and prognostic assessment of ALS and contribute to the understanding of the pathophysiological and electrophysiological correlates of biomarker changes.
Identifiants
pubmed: 32100123
doi: 10.1007/s00415-020-09761-z
pii: 10.1007/s00415-020-09761-z
doi:
Substances chimiques
Biomarkers
0
CHI3L1 protein, human
0
Chitinase-3-Like Protein 1
0
MAPT protein, human
0
Neurofilament Proteins
0
neurofilament protein L
0
tau Proteins
0
Hexosaminidases
EC 3.2.1.-
chitotriosidase
EC 3.2.1.-
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1699-1708Subventions
Organisme : Ministero della Salute
ID : "Ricerca Corrente"
Investigateurs
Ilaria Bartolomei
(I)
Rosaria Plasmati
(R)
Francesca Pastorelli
(F)
Cecilia Celidea Quarta
(CC)
Vincenzo Reale
(V)
Vincenza Mariano
(V)
David Milletti
(D)
Raffaella Nasca
(R)
Francesca Rizzi
(F)
Arianna Cherici
(A)
Diletta Rusolo
(D)
Luca Valeriani
(L)
Francesca Anzolin
(F)
Elisabetta Fantoni
(E)
Alessia Fiorito
(A)
Luciana Andrini
(L)
Patrizia Avoni
(P)
Vincenzo Donadio
(V)
Sabina Capellari
(S)
Silvia de Pasqua
(S)
Giovanni Rizzo
(G)
Veria Vacchiano
(V)
Enrico Fileccia
(E)
Luca Morandi
(L)
Federica Marliani
(F)
Luca Albini-Riccioli
(L)
Piero Parchi
(P)
Maria Pia Foschini
(MP)
Annalisa Pession
(A)
Stella Battaglia
(S)
Roberto Poda
(R)
Danila Valenti
(D)
Sofia Asioli
(S)
Luca Vignatelli
(L)
Federico Oppi
(F)
Michelangelo Stanzani-Maserati
(M)
Anna Bartoletti-Stella
(A)
Carolina Colombo
(C)
Serena Maselli
(S)
Maria Pia Giannoccaro
(MP)
Monica Moresco
(M)
Fabrizio Salvi
(F)
Rocco Liguori
(R)
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