Evidence map›Paper›PMID 36762407›Full record

ArticleAnnals of clinical and translational neurology2023

MRI and fluid biomarkers reveal determinants of myelin and axonal loss with aging.

Keenan A Walker, Michael R Duggan, Zhaoyuan Gong, Heather E Dark, John P Laporte, Mary E Faulkner, Yang An, Alexandria Lewis, Abhay R Moghekar, Susan M Resnick and 1 more

Open access · goldFull text read
In one paragraph

Article in Annals of clinical and translational neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 22 citations in OpenAlex.

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  13. REUSED: A deep neural network method for rapid whole-brain high-resolution myelin water fraction mapping from extremely under-sampled MRI.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2023
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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 2 institutions in 1 country.

Keenan A WalkerLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, 21224.ORCID 0000-0002-5989-9853
Michael R DugganLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, 21224.
Zhaoyuan GongLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, 21224.
Heather E DarkLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, 21224.
John P LaporteLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, 21224.
Mary E FaulknerLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, 21224.
Yang AnLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, 21224.
Alexandria LewisDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21224.
Abhay R MoghekarDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, 21224.
Susan M ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, 21224.
Mustapha BouhraraLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, 21224.
National Institutes of Health · USJohns Hopkins University · US

Funding

Neuroimaging Predictors of Cognitive Decline, Impairment, and ResilienceZIAAG000191 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$26.4M
Identifying peripheral drivers of Alzheimers disease using plasma proteomicsZIAAG000349 · NIA · NATIONAL INSTITUTE ON AGING · PI WALKER, KEENAN · 2021 to 2025
$2.7M
Cerebral Microstructure in Aging and Dementia using Advanced Quantitative MRIZIAAG000353 · NIA · NATIONAL INSTITUTE ON AGING · PI BOUHRARA, MUSTAPHA · 2020 to 2025
$1.9M
Systemic- and neuroinflammation and the progression of Alzhemer's diseaseK23AG064122 · NIA · JOHNS HOPKINS UNIVERSITY · PI WALKER, KEENAN ALEXANDER · 2019 to 2020
$346k
NIA NIH HHS K23 AG064122
6 · The paper itself

Abstract

objectiveWhite matter damage is a feature of Alzheimer's disease, yet little is known about how facets of the Alzheimer's disease process relate to key features of white matter structure. We examined the association of Alzheimer's disease (Aß

methodsAmong cognitively normal participants in the BLSA and GESTALT studies who received MRI measures of myelin content (defined by myelin water fraction [MWF]) and axonal density (defined by neurite density index [NDI]), we quantified plasma levels of Aβ

resultsIn total, 119 participants received MWF imaging (age: 56 [SD 21]), of which 43 received NDI imaging (age: 50 [SD 18]). We found no relationship between plasma biomarkers and total brain myelin content. However, secondary analysis found higher GFAP was associated with lower MWF in the temporal lobes (ß = -0.13; P = 0.049). Further, higher levels of NfL (ß = -0.22; P = 0.009) and GFAP (ß = -0.29; P = 0.002) were associated with lower total brain axonal density. Secondary analyses found lower Aβ

interpretationPlasma biomarkers of neuronal injury and astrogliosis are associated with reduced axonal density and region-specific myelin content. Axonal loss and demyelination may co-occur with neurodegeneration and astrogliosis ahead of clinically meaningful cognitive decline.

Indexed as

Alzheimer DiseaseMyelin SheathAgingBiomarkersGliosisHumansMagnetic Resonance ImagingMiddle AgedBiomarkers

Identifiers

PMID36762407
PMCPMC10014005
OpenAlexW4319826805

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.