Evidence map›Paper›PMID 41025449›Full record

ArticleJournal of the American Heart Association2025

Body Mass Index Modifies Associations Between Diet Quality and Circulating Metabolites: The CARDIA Study, 2005 to 2006.

Autumn G Hullings, Annie Green Howard, Katie A Meyer, Christy L Avery, Kari E North, Sachin Mhatre, Wei Sha, Yuanyuan Li, Blake Rushing, Susan Sumner and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Obesity Adversely Affects Dietary Metabolism: Time to Inform Guidelines?Journal of the American Heart Association · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Autumn G HullingsDepartment of Nutrition Gillings School of Global Public Health, University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID 0000-0003-3400-7887
Annie Green HowardDepartment of Biostatistics Gillings School of Global Public Health, University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID 0000-0003-0837-8166
Katie A MeyerDepartment of Nutrition Gillings School of Global Public Health, University of North Carolina at Chapel Hill Chapel Hill NC USA.
Christy L AveryDepartment of Epidemiology Gillings School of Global Public Health, University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID 0000-0002-1044-8162
Kari E NorthDepartment of Epidemiology Gillings School of Global Public Health, University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID 0000-0002-8903-0366
Sachin MhatreDepartment of Biostatistics and Data Sciences Levine Cancer Institute, Atrium Health Charlotte NC USA.
Wei ShaDepartment of Biostatistics and Data Sciences Levine Cancer Institute, Atrium Health Charlotte NC USA.
Yuanyuan LiNutrition Research Institute University of North Carolina at Chapel Hill Chapel Hill NC USA.
Blake RushingDepartment of Nutrition Gillings School of Global Public Health, University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID 0000-0002-8662-3270
Susan SumnerDepartment of Nutrition Gillings School of Global Public Health, University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID 0000-0003-3381-6084
Xiuxia DuDepartment of Bioinformatics & Genomics University of North Carolina at Charlotte Charlotte NC USA.ORCID 0000-0002-3468-9585
Cora E LewisDepartment of Epidemiology School of Public Health, University of Alabama at Birmingham Birmingham AL USA.ORCID 0000-0002-2301-5796
Penny Gordon-LarsenDepartment of Nutrition Gillings School of Global Public Health, University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID 0000-0001-5322-4188

Funding

Leveraging multi-omics approaches to examine metabolic challenges of obesity in relation to cardiovascular diseasesR01HL143885 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AVERY, CHRISTY LEIGH, GORDON-LARSEN, PENNY · 2019 to 2022
$8.9M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - COORDINATING CENTER (CC)75N92023D00002 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LI, JING · 2023 to 2025
$6.8M
Program Development (Pilot) CoreP30AG066615 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 2020 to 2026
$4.1M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - OAKLAND FIELD CENTER75N92023D00003 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI BHATT, ANKEET S. · 2023 to 2025
$2.2M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - BIRMINGHAM FIELD CENTER75N92023D00005 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEWIS, CORA · 2023 to 2025
$2.2M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - CHICAGO FIELD CENTERDIVERSITY SUPPLEMENT FOR MORGANN WEST75N92023D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI CARNETHON, MERCEDES · 2023 to 2025
$2.1M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - UNIVERSITY OF MINNESOTA FIELD CENTER.75N92023D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI SCHREINER, PAMELA J · 2023 to 2025
$1.7M
NHLBI NIH HHS 75N92023D00002NHLBI NIH HHS 75N92023D00003NHLBI NIH HHS 75N92023D00004NHLBI NIH HHS 75N92023D00005NHLBI NIH HHS 75N92023D00006NHLBI NIH HHS R01 HL143885NIA NIH HHS P30 AG066615
6 · The paper itself

Abstract

backgroundObesity perturbs metabolism, resulting in differential diet-disease associations, but metabolic pathways that differ by obesity remain unclear. We investigated whether cross-sectional associations between metabolites and diet quality differ by obesity status in 2832 participants in the CARDIA (Coronary Artery Risk Development in Young Adults) cohort study.

methodsWe used untargeted metabolomics (7255 metabolite peaks) and an a priori diet quality score (APDQS) to (1) compare model accuracy and prediction, stratified by body mass index (BMI); (2) assess modification of APDQS-metabolite associations by BMI in linear regression models; (3) identify pathways with differential metabolic activity by BMI; and (4) assess the strength and direction of associations with identified/annotated metabolites.

resultsIn BMI-stratified models, metabolite peaks had higher model accuracy but similar APDQS predictive ability among participants with lower versus higher BMI (BMI<25: Q

conclusionsDiet-metabolite associations were best detected among participants who did not have overweight/obesity. We identified associated diet-metabolic pathways that differ by obesity, suggesting potential metabolic-related mechanisms perturbed for those with obesity.

Indexed as

Body Mass IndexDietObesityAdultBiomarkersCross-Sectional StudiesFemaleHumansMaleMetabolomicsMiddle AgedUnited StatesYoung AdultBiomarkersblood plasmabody mass indexdiet qualitymetabolomics

Identifiers

PMID41025449
PMCPMC12684625

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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.