Biological variation estimates for serum neurofilament light chain in healthy subjects.

Analytical performance specification Analytical variation Biological variation Index of individuality Reference change value sNfL

Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
01 Nov 2023
Historique:
received: 06 09 2023
revised: 11 10 2023
accepted: 13 10 2023
medline: 20 11 2023
pubmed: 17 10 2023
entrez: 16 10 2023
Statut: ppublish

Résumé

Neurofilament light chain (NfL) is an emerging biomarker of neurodegeneration disorders. Knowledge of the biological variation (BV) can facilitate proper interpretation between serial measurements. Here BV estimates for serum NfL (sNfL) are provided. Serum samples were collected weekly from 24 apparently healthy subjects for 10 consecutive weeks and analyzed in duplicate using the Siemens Healthineers sNfL assay on the Atellica® IM Analyzer. Outlier detection, variance homogeneity analyses, and trend analysis were performed followed by CV-ANOVA to determine BV and analytical variation (CV Despite observed differences in sNfL concentrations between males and females, BV estimates remained consistent across genders. Both within-subject BV (CV The established BV estimates for sNfL underscore its potential as a valuable biomarker for monitoring neurodegenerative diseases, offering a foundation for improved decision-making in clinical settings.

Identifiants

pubmed: 37844678
pii: S0009-8981(23)00410-2
doi: 10.1016/j.cca.2023.117608
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117608

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Anna Carobene (A)

Laboratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy. Electronic address: carobene.anna@hsr.it.

Kenneth Maiese (K)

Siemens Healthcare Diagnostics Inc., Tarrytown, NY, USA.

Charbel Abou-Diwan (C)

Siemens Healthcare Diagnostics Inc., Tarrytown, NY, USA.

Massimo Locatelli (M)

Laboratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Mustafa Serteser (M)

Acibadem Mehmet Ali Aydınlar University, School of Medicine, Atasehir, Istanbul, Turkey.

Abdurrahman Coskun (A)

Acibadem Mehmet Ali Aydınlar University, School of Medicine, Atasehir, Istanbul, Turkey.

Ibrahim Unsal (I)

Acibadem Mehmet Ali Aydınlar University, School of Medicine, Atasehir, Istanbul, Turkey.

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Classifications MeSH