Evidence map›Paper›PMID 32936887›Full record

ArticleThe American journal of clinical nutrition2020

A lipid-related metabolomic pattern of diet quality.

Minoo Bagheri, Walter Willett, Mary K Townsend, Peter Kraft, Kerry L Ivey, Eric B Rimm, Kathryn Marie Wilson, Karen H Costenbader, Elizabeth W Karlson, Elizabeth M Poole and 2 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  17. Prediagnostic Plasma Metabolomics and the Risk of Exfoliation Glaucoma.Investigative ophthalmology & visual science · 2022
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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

12 authors at 3 institutions in 3 countries.

Minoo BagheriChanning Division of Network Medicine Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
Walter WillettDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Mary K TownsendDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA.
Peter KraftDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Kerry L IveyDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Eric B RimmChanning Division of Network Medicine Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
Kathryn Marie WilsonChanning Division of Network Medicine Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
Karen H CostenbaderChanning Division of Network Medicine Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
Elizabeth W KarlsonChanning Division of Network Medicine Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
Elizabeth M PooleChanning Division of Network Medicine Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
Oana A ZeleznikChanning Division of Network Medicine Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
A Heather EliassenChanning Division of Network Medicine Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
Brigham and Women's Hospital · USHarvard University · USMoffitt Cancer Center · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Tumor and Circulating Markers as Links Between Obesity and Lethal Prostate CanceP50CA090381 · NCI · DANA-FARBER CANCER INSTITUTE · PI LODA, MASSIMO · 2002 to 2017
$36.2M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Sociodemographic Disparities in SLE Incidence: Behavioral and Psychosocial FactorsR01AR057327 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI COSTENBADER, KAREN H · 2009 to 2019
$6.2M
Prospective study of biomarkers and risk factors for ALS incidence and progressioR01NS045893 · NINDS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ASCHERIO, ALBERTO · 2003 to 2016
$4.0M
Novel Biomarkers and Causal Pathways in RA SusceptbilityR01AR059073 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI COSTENBADER, KAREN H · 2010 to 2013
$1.5M
NCI NIH HHS P01 CA087969NCI NIH HHS P50 CA090381NCI NIH HHS U01 CA167552NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107NIAMS NIH HHS R01 AR057327NIAMS NIH HHS R01 AR059073NINDS NIH HHS R01 NS045893
6 · The paper itself

Abstract

backgroundAdherence to a healthy diet has been associated with reduced risk of chronic diseases. Identifying nutritional biomarkers of diet quality may be complementary to traditional questionnaire-based methods and may provide insights concerning disease mechanisms and prevention.

objectiveTo identify metabolites associated with diet quality assessed via the Alternate Healthy Eating Index (AHEI) and its components.

methodsThis cross-sectional study used FFQ data and plasma metabolomic profiles, mostly lipid related, from the Nurses' Health Study (NHS, n = 1460) and Health Professionals Follow-up Study (HPFS, n = 1051). Linear regression models assessed associations of the AHEI and its components with individual metabolites. Canonical correspondence analyses (CCAs) investigated overlapping patterns between AHEI components and metabolites. Principal component analysis (PCA) and explanatory factor analysis were used to consolidate correlated metabolites into uncorrelated factors. We used stepwise multivariable regression to create a metabolomic score that is an indicator of diet quality.

resultsThe AHEI was associated with 83 metabolites in the NHS and 96 metabolites in the HPFS after false discovery rate adjustment. Sixty-three of these significant metabolites overlapped between the 2 cohorts. CCA identified "healthy" AHEI components (e.g., nuts, whole grains) and metabolites (n = 27 in the NHS and 33 in the HPFS) and "unhealthy" AHEI components (e.g., red meat, trans fat) and metabolites (n = 56 in the NHS and 63 in the HPFS). PCA-derived factors composed of highly saturated triglycerides, plasmalogens, and acylcarnitines were associated with unhealthy AHEI components while factors composed of highly unsaturated triglycerides were linked to healthy AHEI components. The stepwise regression analysis contributed to a metabolomics score as a predictor of diet quality.

conclusionWe identified metabolites associated with healthy and unhealthy eating behaviors. The observed associations were largely similar between men and women, suggesting that metabolomics can be a complementary approach to self-reported diet in studies of diet and chronic disease.

Indexed as

Diet, HealthyMetabolomicsBiomarkersCross-Sectional StudiesFeeding BehaviorFemaleHumansLipid MetabolismMaleMiddle AgedBiomarkersAlternate Healthy Eating Indexbiomarkerdiet qualitymetabolitesmetabolomics

Identifiers

PMID32936887
PMCPMC7727474
OpenAlexW3087155637

What OpenQuestion holds

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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.