Evidence map›Paper›PMID 33210117›Full record

ArticleBrain : a journal of neurology2020

Stage-specific links between plasma neurofilament light and imaging biomarkers of Alzheimer's disease.

Andréa L Benedet, Antoine Leuzy, Tharick A Pascoal, Nicholas J Ashton, Sulantha Mathotaarachchi, Melissa Savard, Joseph Therriault, Min Su Kang, Mira Chamoun, Michael Schöll and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 3 pooled it
7.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

86 citing papers in PubMed, 3 syntheses or guidelines pooled it, 111 citations in OpenAlex.

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  19. Non-linear associations between sleep duration and plasma p-tau181 in the Framingham Heart Study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  20. Article

26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 8 institutions in 4 countries.

Andréa L BenedetTranslational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada.
Antoine LeuzyClinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
Tharick A PascoalTranslational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada.
Nicholas J AshtonDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Sulantha MathotaarachchiTranslational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada.
Melissa SavardTranslational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada.
Joseph TherriaultTranslational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada.
Min Su KangTranslational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada.
Mira ChamounTranslational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada.
Michael SchöllClinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
Eduardo R ZimmerAlzheimer's Disease Research Unit, The McGill University Research Centre for Studies in Aging, Montreal, McGill University, Montreal, QC, Canada.
Serge GauthierAlzheimer's Disease Research Unit, The McGill University Research Centre for Studies in Aging, Montreal, McGill University, Montreal, QC, Canada.
Aurélie LabbeDepartment of Decision Sciences, HEC Montreal, Montreal, QC, Canada.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Pedro Rosa-NetoTranslational Neuroimaging Laboratory, McGill Centre for Studies in Aging, McGill University, Montreal, QC, Canada.
Kaj BlennowDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Alzheimer’s Disease Neuroimaging Initiative
McGill University · CALund University · SESahlgrenska University Hospital · SEHEC Montréal · CAKing's College London · GBMinistry of Education · BRMontreal Neurological Institute and Hospital · CAUniversidade Federal do Rio Grande do Sul · BR

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
CIHR MOP-11-51-31NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

Neurofilament light (NfL) is a marker of neuroaxonal injury, a prominent feature of Alzheimer's disease. It remains uncertain, however, how it relates to amyloid and tau pathology or neurodegeneration across the Alzheimer's disease continuum. The aim of this study was to investigate how plasma NfL relates to amyloid and tau PET and MRI measures of brain atrophy in participants with and without cognitive impairment. We retrospectively examined the association between plasma NfL and MRI measures of grey/white matter volumes in the Alzheimer's Disease Neuroimaging Initiative [ADNI: n = 1149; 382 cognitively unimpaired control subjects and 767 cognitively impaired participants (mild cognitive impairment n = 420, Alzheimer's disease dementia n = 347)]. Longitudinal plasma NfL was measured using single molecule array (Simoa) technology. Cross-sectional associations between plasma NfL and PET amyloid and tau measures were independently assessed in two cohorts: ADNI [n = 198; 110 cognitively unimpaired, 88 cognitively impaired (MCI n = 67, Alzheimer's disease dementia n = 21), data accessed October 2018]; and Translational Biomarkers in Aging and Dementia [TRIAD, n = 116; 74 cognitively unimpaired, 42 cognitively impaired (MCI n = 16, Alzheimer's disease dementia n = 26), data obtained November 2017 to January 2019]. Associations between plasma NfL and imaging-derived measures were examined voxel-wise using linear regression (cross-sectional) and linear mixed effect models (longitudinal). Cross-sectional analyses in both cohorts showed that plasma NfL was associated with PET findings in brain regions typically affected by Alzheimer's disease; associations were specific to amyloid PET in cognitively unimpaired and tau PET in cognitively impaired (P < 0.05). Longitudinal analyses showed that NfL levels were associated with grey/white matter volume loss; grey matter atrophy in cognitively unimpaired was specific to APOE ε4 carriers (P < 0.05). These findings suggest that plasma NfL increases in response to amyloid-related neuronal injury in preclinical stages of Alzheimer's disease, but is related to tau-mediated neurodegeneration in symptomatic patients. As such, plasma NfL may a useful measure to monitor effects in disease-modifying drug trials.

Indexed as

AgedAged, 80 and overAgingAlzheimer DiseaseAmyloid beta-PeptidesApolipoprotein E4BiomarkersCognitive DysfunctionCohort StudiesCross-Sectional StudiesDisease ProgressionFemaleGray MatterHumansMagnetic Resonance ImagingMaleAmyloid beta-PeptidesApolipoprotein E4BiomarkersMAPT protein, humanNeurofilament Proteinstau ProteinsAlzheimer’s diseaseamyloidMRIneurofilament lighttau

Identifiers

PMID33210117
PMCPMC7805809
OpenAlexW3100299358

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.