Evidence map›Paper›PMID 41384835›Full record

ArticleJournal of Alzheimer's disease : JAD2026

Association of LDL cargo proteins with white matter hyperintensity volume in older adults from the atherosclerosis risk in communities study.

Binchong An, Shelby A Auger, Pamela L Lutsey, Michelle M Mielke, Fang Yu, Ron C Hoogeveen, Rebecca F Gottesman, Lin Zhang, Michelle Meyer, Kevin J Sullivan and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Binchong AnDepartment of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Shelby A AugerDepartment of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Pamela L LutseyDivision of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Michelle M MielkeDepartment of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Fang YuEdson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA.ORCID 0000-0002-9399-1987
Ron C HoogeveenDivision of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Rebecca F GottesmanStroke, Cognition, and Neuroepidemiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA.
Lin ZhangDivision of Biostatistics & Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Michelle MeyerGillings School of Global Public Health, Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kevin J SullivanDepartment of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
Nicole D ZantekDepartment of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.
Alvaro AlonsoDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Keenan A WalkerMultimodal Imaging of Neurodegenerative Disease (MIND) Unit, National Institute of Aging, Intramural Research Program, Baltimore, MD, USA.
Danni LiDepartment of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-0608-2831

Funding

Identification of plasma lipoprotein proteins and lipids as biomarkers of innate-immunity and vascular contributions to Alzheimer's disease and Alzheimer's disease-related dementias in older adultsRF1AG079100 · NIA · UNIVERSITY OF MINNESOTA · PI LI, DANNI · 2023 to 2023
$2.2M
Identification of proteins in plasma lipoproteins as biomarkers to aid in diagnosing and predicting progression of Alzheimer's disease in older adultsR21AG061372 · NIA · UNIVERSITY OF MINNESOTA · PI LI, DANNI · 2019 to 2020
$448k
NIA NIH HHS R21 AG061372NIA NIH HHS RF1 AG079100
6 · The paper itself

Abstract

BackgroundLow-density lipoprotein cholesterol (LDL-C) has been associated with Alzheimer's disease (AD) pathology and other neuroimaging measures, such as brain volume and white matter hyperintensity (WMH) volume.ObjectiveIn this exploratory study, we examined cross-sectional associations between LDL cargo proteins and AD-related outcomes.MethodsWe randomly selected 65 participants without dementia with amyloid PET and brain MRI data available in the Atherosclerosis Risk in Communities. We used a mass spectrometry-based technique to quantify proteins in LDL isolated from plasma collected at the ARIC Visit 5. Linear or logistic regression was applied to evaluate the associations between individual LDL protein or LDL-C and (1) brain amyloid deposition (yes or no), (2) temporal-parietal meta-ROI brain volume (a biomarker of AD-related neurodegeneration), or (3) WMH volume, adjusting for covariates.ResultsParticipants' average age was 76.3 years with a standard deviation of 5.4, and females comprised 53.8% (35 out of 65). The estimated effect sizes of many LDL protein's associations with these neuroimaging measures were larger than that of LDL-C. The strongest association was higher LDL apolipoprotein C1 (apoC1) and lower WMH volume. Each SD increment of LDL apoC1 LDL was associated with a lower WMH volume of 7243.1 mm

Indexed as

AtherosclerosisCholesterol, LDLWhite MatterAgedAged, 80 and overBiomarkersBrainCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMalePositron-Emission TomographyBiomarkersCholesterol, LDLAlzheimer's diseaseamyloid depositionapolipoprotein C1brain volumeLDLwhite matter hyperintensity volume

Identifiers

PMID41384835
PMCPMC13143214

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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.