Evidence map›Paper›PMID 42235824›Full record

ArticleThe Journal of nutrition2026

Plasma Proteins Associated with Whole Grains and Fiber Intake in the Cardiovascular Health Study (CHS) and the Atherosclerosis Risk in Communities (ARIC) Study.

Alyssa Feinberg, Thomas R Austin, Ana Gabriela Vasconcelos, Jennifer A Brody, Kerri L Wiggins, Rozenn N Lemaitre, Amanda M Fretts, Denise C Hasson, Nona Sotoodehnia, James S Floyd and 3 more

Abstract read
In one paragraph

Article in The Journal of nutrition, 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

13 authors.

Alyssa FeinbergDepartment of Epidemiology, University of Washington, Seattle, WA, United States.
Thomas R AustinDepartment of Medicine, Cardiovascular Health Research Unit, University of Washington School of Public Health, Seattle, WA, United States.
Ana Gabriela VasconcelosDepartment of Biostatistics, University of Washington School of Public Health, Seattle, WA, United States.
Jennifer A BrodyDepartment of Medicine, Cardiovascular Health Research Unit, University of Washington School of Public Health, Seattle, WA, United States.
Kerri L WigginsDepartment of Medicine, Cardiovascular Health Research Unit, University of Washington School of Public Health, Seattle, WA, United States.
Rozenn N LemaitreDepartment of Medicine, Cardiovascular Health Research Unit, University of Washington School of Public Health, Seattle, WA, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Amanda M FrettsDepartment of Epidemiology, University of Washington, Seattle, WA, United States; Department of Medicine, Cardiovascular Health Research Unit, University of Washington School of Public Health, Seattle, WA, United States.
Denise C HassonDepartment of Pediatrics, New York University Grossman School of Medicine, New York, NY, United States.
Nona SotoodehniaDepartment of Medicine, Cardiovascular Health Research Unit, University of Washington School of Public Health, Seattle, WA, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
James S FloydDepartment of Epidemiology, University of Washington, Seattle, WA, United States; Department of Medicine, Cardiovascular Health Research Unit, University of Washington School of Public Health, Seattle, WA, United States; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Casey M RebholzDepartment of Pediatrics, New York University Grossman School of Medicine, New York, NY, United States; Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD, United States.
Bruce M PsatyDepartment of Epidemiology, University of Washington, Seattle, WA, United States; Department of Medicine, Cardiovascular Health Research Unit, University of Washington School of Public Health, Seattle, WA, United States.
Hyunju KimDepartment of Epidemiology, University of Washington, Seattle, WA, United States; Department of Medicine, Cardiovascular Health Research Unit, University of Washington School of Public Health, Seattle, WA, United States. Electronic address: hyunjuk1@uw.edu.

Funding

Infrastructure for mentored access to CHS data and specimensR01HL172803 · NHLBI · UNIVERSITY OF WASHINGTON · PI James S Floyd, Michelle Christina Odden · 2025 to 2026
$2.7M
Proteomic and epigenetic alterations associated with plant-based diets and CVDK01HL168232 · NHLBI · UNIVERSITY OF WASHINGTON · PI Hyunju Kim · 2023 to 2026
$683k
NHLBI NIH HHS K01 HL168232NHLBI NIH HHS R01 HL172803
6 · The paper itself

Abstract

backgroundLimited biomarkers exist for whole grains and fiber intake. Large-scale proteomics can be used to identify objective biomarkers of whole grains and fiber intake.

objectivesWe identified plasma proteins of whole grains and fiber intake in the Cardiovascular Health Study (CHS) and Atherosclerosis Risk in Communities (ARIC) Study.

methodsWhole grains and fiber intake were quantified from food frequency questionnaire responses in CHS (1989-1990, N = 2411). An aptamer-based technology (SomaLogic) quantified 4979 proteins in stored specimens collected in 1992-1993. Multivariable linear regression identified individual proteins significantly associated with whole grains or fiber intake at a false discovery rate of <0.05. Findings were externally replicated in the ARIC Study. Pathway overrepresentation analysis was conducted for diet-related proteins. Least absolute shrinkage and selection operator (LASSO) regression was used to select a set of proteins associated with whole grains or fiber intake. Prediction statistics assessed the ability of diet-related proteins to predict whole grains and fiber intake beyond participant characteristics.

resultsA total of 68 and 26 proteins were associated with whole grains and fiber intake, respectively, in CHS, with 17 and 20 proteins for whole grains and fiber, respectively, replicated in the ARIC Study. Of these, 5 proteins (beta-glucuronidase, neuropeptide W, inhibin beta C chain, transcobalamin 1, and toll-like receptor 5) were associated with both whole grains and fiber intake. Ascorbate and aldarate metabolism were overrepresented for both whole grains and fiber-related proteins. A total of 13 proteins for whole grains and 19 proteins for fiber intake were selected from LASSO to improve the prediction of these dietary exposures beyond participant characteristics (range of differences in AUCs: 0.022-0.041, P for all tests < 0.05).

conclusionsWe identified proteins and pathways that are robustly associated with whole grains and fiber intake in 2 studies. These proteins may serve as candidate biomarkers if validated in controlled feeding studies.

Indexed as

AtherosclerosisBlood ProteinsCardiovascular DiseasesDietary FiberWhole GrainsBiomarkersDietFemaleHumansMaleMiddle AgedProteomicsRisk FactorsBiomarkersBlood ProteinsDietary Fiberbiomarkersdiscoveryexternal replicationfiberhigh fiber grainsplasma proteomicsUnited States adultswhole grains

Identifiers

PMID42235824
PMCPMC13354292

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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.