Evidence map›Paper›PMID 37562669›Full record

ArticleThe Journal of nutrition2023

Associations between Metabolomic Biomarkers of Avocado Intake and Glycemia in the Multi-Ethnic Study of Atherosclerosis.

Alexis C Wood, Mark O Goodarzi, Mackenzie K Senn, Meghana D Gadgil, Goncalo Graca, Matthew A Allison, Ioanna Tzoulaki, Michael Y Mi, Philip Greenland, Timothy Ebbels and 4 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
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 at 11 institutions in 3 countries.

Alexis C WoodUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, United States; Biomolecular Medicine, Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom. Electronic address: LekkiWood@gmail.com.
Mark O GoodarziDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Mackenzie K SennUSDA/ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, TX, United States; The University of Texas Health Science Center at Houston School of Public Health, Houston, TX, United States.
Meghana D GadgilDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, United States.
Goncalo GracaSection of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom.
Matthew A AllisonDivision of Preventive Medicine, Department of Family Medicine, University of California, San Diego, La Jolla, CA, United States.
Ioanna TzoulakiDepartment of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece; Department of Epidemiology and Biostatistics, Imperial College London School of Public Health, London, United Kingdom.
Michael Y MiDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States; Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, United States.
Philip GreenlandDepartments of Preventive Medicine and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Timothy EbbelsBiomolecular Medicine, Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom.
Paul ElliottDepartment of Epidemiology and Biostatistics, Imperial College London School of Public Health, London, United Kingdom; Laboratory for Clinical Biochemistry Research, University of Vermont, Burlington, VT, United States.
Russell P TracyLaboratory for Clinical Biochemistry Research, University of Vermont, Burlington, VT, United States.
David M HerringtonSection on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, United States.
Jerome I RotterDepartment of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-University of California, Los Angeles Medical Center, Torrance, CA, United States.
Harbor–UCLA Medical Center · USImperial College London · GBUniversity of Vermont · USBeth Israel Deaconess Medical Center · USCedars-Sinai Medical Center · USChildren's Nutrition Research Center at Baylor College of Medicine · USNorthwestern University · USThe University of Texas Health Science Center at Houston · USUniversity of California, San Diego · USUniversity of California, San Francisco · USUniversity of Ioannina · GR

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Transgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MILES Frome WILKINSON · 2003 to 2026
$40.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Impact of the gut microbiome and diet on change in insulin homeostasis and cardiometabolic riskR01DK109588 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI GOODARZI, MARK, PETROSINO, JOSEPH FRANK · 2017 to 2021
$3.1M
Metabolomic Signatures of CAD Associated GenotypesR01HL133932 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W, HERRINGTON, DAVID MCLEOD · 2016 to 2019
$2.5M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
Prevention of Type 2 Diabetes through Diet and MetabolomicsK23DK119404 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GADGIL, MEGHANA DIPTI · 2019 to 2021
$662k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095161 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN · 1999 to 2001
$642k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095165 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1999 to 2001
$616k
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001881NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL133932NIDDK NIH HHS K23 DK119404NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK109588
6 · The paper itself

Abstract

backgroundAvocado consumption is linked to better glucose homeostasis, but small associations suggest potential population heterogeneity. Metabolomic data capture the effects of food intake after digestion and metabolism, thus accounting for individual differences in these processes.

objectivesTo identify metabolomic biomarkers of avocado intake and to examine their associations with glycemia.

methodsBaseline data from 6224 multi-ethnic older adults (62% female) included self-reported avocado intake, fasting glucose and insulin, and untargeted plasma proton nuclear magnetic resonance metabolomic features (metabolomic data were available for a randomly selected subset; N = 3438). Subsequently, incident type 2 diabetes (T2D) was assessed over an ∼18 y follow-up period. A metabolome-wide association study of avocado consumption status (consumer compared with nonconsumer) was conducted, and the relationship of these features with glycemia via cross-sectional associations with fasting insulin and glucose and longitudinal associations with incident T2D was examined.

resultsThree highly-correlated spectral features were associated with avocado intake at metabolome-wide significance levels (P < 5.3 ∗ 10

conclusionsHighly significant associations between glycemia and avocado-related metabolomic features, which serve as biomarkers of the physiological impact of dietary intake after digestion and absorption, compared to modest relationships between glycemia and avocado consumption, highlights the importance of considering individual differences in metabolism when considering diet-health relationships.

Indexed as

AtherosclerosisDiabetes Mellitus, Type 2PerseaAgedBiomarkersCross-Sectional StudiesFemaleGlucoseHumansInsulinMaleRisk FactorsBiomarkersGlucoseInsulinavocadobiomarkerdysglycemiametabolomicsMUFApersonalized nutritiontype 2 diabetes

Identifiers

PMID37562669
PMCPMC10925911
OpenAlexW4385651252

What OpenQuestion holds

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LicenceCC BY
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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.