Evidence map›Paper›PMID 33663022›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2021

Comparison of CSF neurofilament light chain, neurogranin, and tau to MRI markers.

Michelle M Mielke, Scott A Przybelski, Timothy G Lesnick, Silke Kern, Henrik Zetterberg, Kaj Blennow, David S Knopman, Jonathan Graff-Radford, Ronald C Petersen, Clifford R Jack and 1 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Prediction of longitudinal synaptic loss in Alzheimer's disease using tau PET and plasma biomarkers.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Dementia with Lewy bodies: Impact of co-pathologies and implications for clinical trial design.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Review
  9. Article
  10. Review
  11. Tauopathies: new perspectives and challenges.Molecular neurodegeneration · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 3 countries.

Michelle M MielkeDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Scott A PrzybelskiDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Timothy G LesnickDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Silke KernDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Kaj BlennowDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Ronald C PetersenDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Mayo Clinic · USMayo Clinic in Florida · USUniversity of Gothenburg · SESahlgrenska University Hospital · SE

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI NILUFER ERTEKIN-TANER · 2019 to 2026
$33.5M
PREDICTING ALZHEIMERS DISEASE WITH MAGNETIC RESONANCER01AG011378 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R. · 1993 to 2017
$12.1M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Investigating Resistance and Resilience Mechanisms in Alzheimer’s DiseaseR01AG056366 · NIA · MAYO CLINIC ROCHESTER · PI PRASHANTHI VEMURI · 2017 to 2026
$7.0M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
Validating the New Criteria for Preclinical Alzheimer's diseaseR01AG041851 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R., KNOPMAN, DAVID S · 2012 to 2021
$6.3M
Sex-specific Risk for Vascular Dysfunction and Cognitive DeclineP50AG044170 · NIA · MAYO CLINIC ROCHESTER · PI MILLER, VIRGINIA M · 2012 to 2017
$6.1M
Reproductive risk factors for Alzheimer's disease dementia and pathologyRF1AG055151 · NIA · MAYO CLINIC ROCHESTER · PI MIELKE, MICHELLE M, ROCCA, WALTER A · 2017 to 2017
$4.0M
Development, Validation, and Application of an Imaging based CVD ScaleR01NS097495 · NINDS · MAYO CLINIC ROCHESTER · PI VEMURI, PRASHANTHI · 2016 to 2020
$2.9M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Sphingolipids and Inflammation in the Development and Progression of Alzheimer'sR01AG049704 · NIA · MAYO CLINIC ROCHESTER · PI MIELKE, MICHELLE M · 2015 to 2018
$1.5M
NIA NIH HHS P30 AG062677NIA NIH HHS P50 AG044170NIA NIH HHS R01 AG011378NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG041851NIA NIH HHS R01 AG049704NIA NIH HHS R01 AG056366NIA NIH HHS R33 AG058738NIA NIH HHS R37 AG011378NIA NIH HHS RF1 AG055151NIA NIH HHS U01 AG006786NINDS NIH HHS R01 NS097495
6 · The paper itself

Abstract

introductionWe determined whether cerebrospinal fluid (CSF) neurofilament light (NfL), neurogranin (Ng), and total-tau (t-tau) differentially mapped to magnetic resonance imaging (MRI) measures of cortical thickness, microstructural integrity (corpus callosum and cingulum fractional anisotropy [FA]), and white matter hyperintensities (WMH).

methodsAnalyses included 536 non-demented Mayo Clinic Study of Aging participants with CSF NfL, Ng, t-tau, amyloid beta (Aβ)42 and longitudinal MRI scans. Linear mixed models assessed longitudinal associations between CSF markers and MRI changes.

resultsHigher CSF NfL was associated with decreasing microstructural integrity and WMH. Higher t-tau was associated with decreasing temporal lobe and Alzheimer's disease (AD) meta region of interest (ROI) cortical thickness. There was no association between Ng and any MRI measure. CSF Aβ42 interacted with Ng for declines in temporal lobe and AD meta ROI cortical thickness and cingulum FA. DISCUSSION: CSF NfL predicts changes in white matter integrity, t-tau reflects non-specific changes in cortical thickness, and Ng reflects AD-specific synaptic and neuronal degeneration.

Indexed as

Cognitive DysfunctionAgedAgingAlzheimer DiseaseBiomarkersFemaleHealthy VolunteersHumansMagnetic Resonance ImagingMaleNeurofilament ProteinsNeurograninProspective Studiestau ProteinsWhite MatterBiomarkersneurofilament protein LNeurofilament ProteinsNeurogranintau ProteinsAlzheimer'samyloidcerebrospinal fluidcohort studycortical thicknessmagnetic resonance imagingneurodegenerationneurofilament light chainneurogranintotal tauwhite matter integrity

Identifiers

PMID33663022
PMCPMC8119371
OpenAlexW3133589761

What OpenQuestion holds

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Registered trials

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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.