Literature DB >> 30107413

Evaluation of Cerebrospinal Fluid Neurofilament Light Chain as a Routine Biomarker in a Memory Clinic.

Matías Niikado1, Patricio Chrem-Méndez2, Tatiana Itzcovich1, Micaela Barbieri-Kennedy1, Ismael Calandri2, Horacio Martinetto1, Mercedes Serra3, Jorge Calvar3, Jorge Campos2, María Julieta Russo2, Lucía Pertierra2, Ricardo Allegri2,4, Gustavo Sevlever1, Ezequiel I Surace1,4.   

Abstract

Systematic evaluation of biomarkers in representative populations is needed to validate their clinical utility. In this work, we assessed the diagnostic performance of cerebrospinal fluid (CSF) neurofilament light chain (NfL) in a neurocognitive clinical setting. A total of 51 patients with different cognitive clinical syndromes and 11 cognitively normal individuals were evaluated in a memory clinic in Argentina. Clinical conditions included mild cognitive impairment (MCI, n = 12), dementia of Alzheimer's type (DAT, n = 14), behavioral variant frontotemporal dementia (bvFTD, n = 13), and primary progressive aphasia (logopenic [n = 6], semantic [n = 2], and nonfluent [n = 4]). We quantified CSF NfL and core Alzheimer's disease biomarkers using commercially available ELISA kits. Cortical thickness was analyzed on brain magnetic resonance imaging scans from 10 controls and 10 patients. CSF NfL was significantly increased in MCI, FTD, and DAT patients compared with controls (Kruskal-Wallis, p < .0001). Interestingly, receiver operating characteristic curve analysis showed the highest area under the curve (AUC) value when analyzing control versus bvFTD patients (AUC = 0.9441). Also, we observed a marginally significant correlation between NfL levels and left orbitofrontal cortex thickness in a small group of patients with FTD. Overall, our results further support CSF NfL as a promising biomarker in the diagnostic workup of bvFTD.
© The Author(s) 2018. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Biology of aging; Dementia; Latin America; Neurodegeneration

Year:  2019        PMID: 30107413     DOI: 10.1093/gerona/gly179

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  5 in total

Review 1.  The path to biomarker-based diagnostic criteria for the spectrum of neurodegenerative diseases.

Authors:  Filippo Baldacci; Sonia Mazzucchi; Alessandra Della Vecchia; Linda Giampietri; Nicola Giannini; Maya Koronyo-Hamaoui; Roberto Ceravolo; Gabriele Siciliano; Ubaldo Bonuccelli; Fanny M Elahi; Andrea Vergallo; Simone Lista; Filippo Sean Giorgi; Harald Hampel
Journal:  Expert Rev Mol Diagn       Date:  2020-02-27       Impact factor: 5.225

Review 2.  Neurofilament Light Chain as a Biomarker, and Correlation with Magnetic Resonance Imaging in Diagnosis of CNS-Related Disorders.

Authors:  Zahra Alirezaei; Mohammad Hossein Pourhanifeh; Sarina Borran; Majid Nejati; Hamed Mirzaei; Michael R Hamblin
Journal:  Mol Neurobiol       Date:  2019-08-05       Impact factor: 5.590

3.  Role of Neurofilament Light Chain as a Potential Biomarker for Alzheimer's Disease: A Correlative Meta-Analysis.

Authors:  Mei Jin; Li Cao; Yan-Ping Dai
Journal:  Front Aging Neurosci       Date:  2019-09-13       Impact factor: 5.750

4.  Systematic Review: Genetic, Neuroimaging, and Fluids Biomarkers for Frontotemporal Dementia Across Latin America Countries.

Authors:  Claudia Duran-Aniotz; Paulina Orellana; Tomas Leon Rodriguez; Fernando Henriquez; Victoria Cabello; María F Aguirre-Pinto; Tamara Escobedo; Leonel T Takada; Stefanie D Pina-Escudero; Oscar Lopez; Jennifer S Yokoyama; Agustin Ibanez; Mario A Parra; Andrea Slachevsky
Journal:  Front Neurol       Date:  2021-06-24       Impact factor: 4.003

Review 5.  The diagnostic performance of neurofilament light chain in CSF and blood for Alzheimer's disease, frontotemporal dementia, and amyotrophic lateral sclerosis: A systematic review and meta-analysis.

Authors:  Lauren M Forgrave; Matthew Ma; John R Best; Mari L DeMarco
Journal:  Alzheimers Dement (Amst)       Date:  2019-11-04
  5 in total

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