Evidence map›Paper›PMID 38292016›Full record

ArticleCerebral circulation - cognition and behavior2024

Correlates of axonal content in healthy adult span: Age, sex, myelin, and metabolic health.

Agnieszka Z Burzynska, Charles Anderson, David B Arciniegas, Vince Calhoun, In-Young Choi, Andrea Mendez Colmenares, Arthur F Kramer, Kaigang Li, Jongho Lee, Phil Lee and 1 more

Abstract read
In one paragraph

Article in Cerebral circulation - cognition and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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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.

Agnieszka Z BurzynskaThe BRAiN lab, Department of Human Development and Family Studies/Molecular, Cellular and Integrative Neurosciences, Colorado State University, Fort Collins, CO, USA.
Charles AndersonDepartment of Computer Science, Colorado State University, Fort Collins, CO, USA.
David B ArciniegasMarcus Institute for Brain Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Vince CalhounTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA, USA.
In-Young ChoiDepartment of Neurology, Department of Radiology, Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA.
Andrea Mendez ColmenaresThe BRAiN lab, Department of Human Development and Family Studies/Molecular, Cellular and Integrative Neurosciences, Colorado State University, Fort Collins, CO, USA.
Arthur F KramerBeckman Institute for Advanced Science and Technology at the University of Illinois, IL, USA.
Kaigang LiDepartment of Health and Exercise Science, Colorado State University, Fort Collins, CO, USA.
Jongho LeeDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.
Phil LeeDepartment of Radiology, Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA.
Michael L ThomasDepartment of Psychology, Colorado State University, Fort Collins, CO, USA.

Funding

New approach to studying white matter aging: symmetric multimodal fusion of MRI techniques targeting different biophysical properties of white matterR21AG068939 · NIA · COLORADO STATE UNIVERSITY · PI BURZYNSKA, AGNIESZKA · 2021 to 2022
$403k
NIA NIH HHS R21 AG068939
6 · The paper itself

Abstract

As the emerging treatments that target grey matter pathology in Alzheimer's Disease have limited effectiveness, there is a critical need to identify new neural targets for treatments. White matter's (WM) metabolic vulnerability makes it a promising candidate for new interventions. This study examined the age and sex differences in estimates of axonal content, as well the associations of with highly prevalent modifiable health risk factors such as metabolic syndrome and adiposity. We estimated intra-axonal volume fraction (ICVF) using the Neurite Orientation Dispersion and Density Imaging (NODDI) in a sample of 89 cognitively and neurologically healthy adults (20-79 years). We showed that ICVF correlated positively with age and estimates of myelin content. The ICVF was also lower in women than men, across all ages, which difference was accounted for by intracranial volume. Finally, we found no association of metabolic risk or adiposity scores with the current estimates of ICVF. In addition, the previously observed adiposity-myelin associations (Burzynska et al., 2023) were independent of ICVF. Although our findings confirm the vulnerability of axons to aging, they suggest that metabolic dysfunction may selectively affect myelin content, at least in cognitively and neurologically healthy adults with low metabolic risk, and when using the specific MRI techniques. Future studies need to revisit our findings using larger samples and different MRI approaches, and identify modifiable factors that accelerate axonal deterioration as well as mechanisms linking peripheral metabolism with the health of myelin.

Indexed as

AdiposityAgingAxonsBMIMetabolic syndromeMyelinObesityWhite matter

Identifiers

PMID38292016
PMCPMC10827486

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.