Plasma neurofilament light chain predicts Alzheimer's disease in patients with subjective cognitive decline and mild cognitive impairment: A cross-sectional and longitudinal study.

Alzheimer's disease biomarker dementia mild cognitive impairment neurofilament

Journal

European journal of neurology
ISSN: 1468-1331
Titre abrégé: Eur J Neurol
Pays: England
ID NLM: 9506311

Informations de publication

Date de publication:
Jan 2024
Historique:
revised: 18 09 2023
received: 15 06 2023
accepted: 21 09 2023
pubmed: 5 10 2023
medline: 5 10 2023
entrez: 5 10 2023
Statut: ppublish

Résumé

We aimed to evaluate the accuracy of plasma neurofilament light chain (NfL) in predicting Alzheimer's disease (AD) and the progression of cognitive decline in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI). This longitudinal cohort study involved 140 patients (45 with SCD, 73 with MCI, and 22 with AD dementia [AD-D]) who underwent plasma NfL and AD biomarker assessments (cerebrospinal fluid, amyloid positron emission tomography [PET], and At baseline, plasma NfL detected patients with biomarker profiles consistent with AD (A+/T+/N+ or A+/T+/N-) with high accuracy (area under the curve [AUC] 0.82). We identified cut-off values of 19.45 pg/mL for SCD and 20.45 pg/mL for MCI. During follow-up, nine SCD patients progressed to MCI (progressive SCD [p-SCD]), and 14 MCI patients developed AD dementia (progressive MCI [p-MCI]). The previously identified cut-off values provided good accuracy in identifying p-SCD (80% [95% confidence interval 65.69: 94.31]). The rate of NfL change was higher in p-MCI (3.52 ± 4.06 pg/mL) compared to non-progressive SCD (0.81 ± 1.25 pg/mL) and non-progressive MCI (-0.13 ± 3.24 pg/mL) patients. A rate of change lower than 1.64 pg/mL per year accurately excluded progression from MCI to AD (AUC 0.954). Plasma NfL concentration and change over time may be a reliable, non-invasive tool to detect AD and the progression of cognitive decline at the earliest stages of the disease.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
We aimed to evaluate the accuracy of plasma neurofilament light chain (NfL) in predicting Alzheimer's disease (AD) and the progression of cognitive decline in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI).
METHODS METHODS
This longitudinal cohort study involved 140 patients (45 with SCD, 73 with MCI, and 22 with AD dementia [AD-D]) who underwent plasma NfL and AD biomarker assessments (cerebrospinal fluid, amyloid positron emission tomography [PET], and
RESULTS RESULTS
At baseline, plasma NfL detected patients with biomarker profiles consistent with AD (A+/T+/N+ or A+/T+/N-) with high accuracy (area under the curve [AUC] 0.82). We identified cut-off values of 19.45 pg/mL for SCD and 20.45 pg/mL for MCI. During follow-up, nine SCD patients progressed to MCI (progressive SCD [p-SCD]), and 14 MCI patients developed AD dementia (progressive MCI [p-MCI]). The previously identified cut-off values provided good accuracy in identifying p-SCD (80% [95% confidence interval 65.69: 94.31]). The rate of NfL change was higher in p-MCI (3.52 ± 4.06 pg/mL) compared to non-progressive SCD (0.81 ± 1.25 pg/mL) and non-progressive MCI (-0.13 ± 3.24 pg/mL) patients. A rate of change lower than 1.64 pg/mL per year accurately excluded progression from MCI to AD (AUC 0.954).
CONCLUSION CONCLUSIONS
Plasma NfL concentration and change over time may be a reliable, non-invasive tool to detect AD and the progression of cognitive decline at the earliest stages of the disease.

Identifiants

pubmed: 37797300
doi: 10.1111/ene.16089
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e16089

Subventions

Organisme : Ministero della Salute
Organisme : Regione Toscana

Informations de copyright

© 2023 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.

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Auteurs

Salvatore Mazzeo (S)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.

Assunta Ingannato (A)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Giulia Giacomucci (G)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Alberto Manganelli (A)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Valentina Moschini (V)

Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.

Juri Balestrini (J)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Arianna Cavaliere (A)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Carmen Morinelli (C)

Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.

Giulia Galdo (G)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Filippo Emiliani (F)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Diletta Piazzesi (D)

Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.

Chiara Crucitti (C)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Daniele Frigerio (D)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Cristina Polito (C)

IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.

Valentina Berti (V)

Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy.

Silvia Bagnoli (S)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Sonia Padiglioni (S)

Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
Regional Referral Centre for Relational Criticalities - 50139, Tuscany Region, Italy.

Sandro Sorbi (S)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.

Benedetta Nacmias (B)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy.

Valentina Bessi (V)

Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.

Classifications MeSH