Cerebrospinal fluid neurofilament light chain is a marker of aging and white matter damage

Cerebrospinal fluid (CSF) neurofilament light chain (NfL) reflects neuro-axonal damage and is increasingly used to evaluate disease progression across neurological conditions including Alzheimer disease (AD). However, it is unknown how NfL relates to specific types of brain tissue. We sought to dete...

Full description

Saved in:
Bibliographic Details
Published inNeurobiology of disease Vol. 166; p. 105662
Main Authors Meeker, Karin L., Butt, Omar H., Gordon, Brian A., Fagan, Anne M., Schindler, Suzanne E., Morris, John C., Benzinger, Tammie L.S., Ances, Beau M.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.05.2022
Elsevier
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Cerebrospinal fluid (CSF) neurofilament light chain (NfL) reflects neuro-axonal damage and is increasingly used to evaluate disease progression across neurological conditions including Alzheimer disease (AD). However, it is unknown how NfL relates to specific types of brain tissue. We sought to determine whether CSF NfL is more strongly associated with total gray matter, white matter, or white matter hyperintensity (WMH) volume, and to quantify the relative importance of brain tissue volume, age, and AD marker status (i.e., APOE genotype, brain amyloidosis, tauopathy, and cognitive status) in predicting CSF NfL. 419 participants (Clinical Dementia Rating [CDR] Scale > 0, N = 71) had CSF, magnetic resonance imaging (MRI), and neuropsychological data. A subset had amyloid positron emission tomography (PET) and tau PET. Pearson correlation analysis was used to determine the association between CSF NfL and age. Multiple regression was used to determine which brain volume (i.e., gray, white, or WMH volume) most strongly associated with CSF NfL. Stepwise regression and dominance analyses were used to determine the individual contributions and relative importance of brain volume, age, and AD marker status in predicting CSF NfL. CSF NfL increased with age (r = 0.59, p < 0.001). Elevated CSF NfL was associated with greater total WMH volume (p < 0.001), but not gray or white matter volume (p's > 0.05) when considered simultaneously. Age and WMH volume were consistently more important (i.e., have greater R2 values) than AD markers when predicting CSF NfL. CSF NfL is a non-specific marker of aging and white matter integrity with limited sensitivity to specific markers of AD. CSF NfL likely reflects processes associated with cerebrovascular disease. •Question: What is the relative importance of brain tissue volumes, age, and AD marker status in predicting CSF NfL?•Findings: Compared to age and white matter hyperintensity (WMH) volume, AD markers are not important predictors CSF NfL.•Meaning: CSF NfL is primarily a non-specific marker of aging and white matter integrity.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
The authors thank the participants, investigators, and staff of the Knight Alzheimer Disease Research Center (ADRC) Clinical Core for participant assessments, Genetics Core for APOE ε genotyping, Fluid Biomarker Core for CSF biomarker analyses, and the Imaging Core for amyloid, tau, and structural imaging.
Karin Meeker: conceptualization, methodology, software, formal analysis, data curation, writing- original draft, writing-review and editing, visualization. Omar Butt: writing-original draft, writing-review and editing. Brian Gordon: conceptualization, methodology, writing-review and editing. Suzanne Schindler: resources, writing-review and editing, funding acquisition. John Morris: resources, writing-review and editing, funding acquisition. Anne Fagan: resources, writing-review and editing. Tammie Benzinger: resources, writing-review and editing. Beau Ances: conceptualization, methodology, resources, writing-review and editing, supervision, revising, funding acquisition.
Dr. Meeker had full access to all the data and takes responsibility for the integrity of the data and accuracy of the data analysis.
Additional contributions
Author contributions
ISSN:0969-9961
1095-953X
DOI:10.1016/j.nbd.2022.105662