Evidence map›Paper›PMID 37660929›Full record

ArticleThe American journal of clinical nutrition2023

Untargeted metabolomic analysis investigating links between unprocessed red meat intake and markers of inflammation.

Alexis C Wood, Goncalo Graca, Meghana Gadgil, Mackenzie K Senn, Matthew A Allison, Ioanna Tzoulaki, Philip Greenland, Timothy Ebbels, Paul Elliott, Mark O Goodarzi and 3 more

Open access · hybridAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

13 authors at 10 institutions in 3 countries.

Alexis C WoodUnited States Department of Agriculture (USDA)/ARS Children's Nutrition Research Center, Baylor College of Medicine, TX, United States. Electronic address: LekkiWood@Gmail.com.
Goncalo GracaSection of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom.
Meghana GadgilDivision of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA, United States.
Mackenzie K SennUnited States Department of Agriculture (USDA)/ARS Children's Nutrition Research Center, Baylor College of Medicine, TX, United States.
Matthew A AllisonDepartment 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.
Philip GreenlandDepartments of Preventive Medicine and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Timothy EbbelsBiomolecular Medicine, Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
Paul ElliottDepartment of Epidemiology and Biostatistics, Imperial College London School of Public Health, London, United Kingdom.
Mark O GoodarziDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Russell TracyLaboratory for Clinical Biochemistry Research, University of Vermont, Burlington, VT, United States.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, United States.
David HerringtonSection on Cardiovascular Medicine, Department of Internal Medicine, Wake Forest School of Medicine; Medical Center Boulevard, Winston-Salem, NC, United States.
Imperial College London · GBChildren's Nutrition Research Center at Baylor College of Medicine · USCedars-Sinai Medical Center · USHarbor–UCLA Medical Center · USNorthwestern University · USUniversity of California, San Diego · USUniversity of California, San Francisco · USUniversity of Ioannina · GRUniversity of Vermont · USWake Forest University · US

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Prevention of Type 2 Diabetes through Diet and MetabolomicsK23DK119404 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GADGIL, MEGHANA DIPTI · 2019 to 2021
$662k
Overcoming Obstacles in Epigenetic Analysis of Human TwinsR21HD087860 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI WATERLAND, ROBERT A, WOOD, ALEXIS CAROLINE · 2016 to 2017
$389k
NCATS NIH HHS UL1 TR001881NHLBI NIH HHS R01 HL105756NIDDK NIH HHS K23 DK119404
6 · The paper itself

Abstract

backgroundWhether red meat consumption is associated with higher inflammation or confounded by increased adiposity remains unclear. Plasma metabolites capture the effects of diet after food is processed, digested, and absorbed, and correlate with markers of inflammation, so they can help clarify diet-health relationships.

objectiveTo identify whether any metabolites associated with red meat intake are also associated with inflammation.

methodsA cross-sectional analysis of observational data from older adults (52.84% women, mean age 63 ± 0.3 y) participating in the Multi-Ethnic Study of Atherosclerosis (MESA). Dietary intake was assessed by food-frequency questionnaire, alongside C-reactive protein (CRP), interleukin-2, interleukin-6, fibrinogen, homocysteine, and tumor necrosis factor alpha, and untargeted proton nuclear magnetic resonance (

resultsIn analyses that adjust for BMI, neither processed nor unprocessed forms of red meat were associated with any markers of inflammation (all P > 0.01). However, when adjusting for BMI, unprocessed red meat was inversely associated with spectral features representing the metabolite glutamine (sentinel hit: β = -0.09 ± 0.02, P = 2.0 × 10

conclusionsOur analyses were unable to support a relationship between either processed or unprocessed red meat and inflammation, over and above any confounding by BMI. Glutamine, a plasma correlate of lower unprocessed red meat intake, was associated with lower CRP levels. The differences in diet-inflammation associations, compared with diet metabolite-inflammation associations, warrant further investigation to understand the extent that these arise from the following: 1) a reduction in measurement error with metabolite measures; 2) the extent that which factors other than unprocessed red meat intake contribute to glutamine levels; and 3) the ability of plasma metabolites to capture individual differences in how food intake is metabolized.

Indexed as

GlutamineRed MeatAgedCross-Sectional StudiesDietFemaleHumansInflammationMaleMeatMiddle AgedRisk FactorsGlutamineadipositybiomarkerBMIC-reactive proteininflammationmetabolome-wide association studymetabolomicsRed meat

Identifiers

PMID37660929
PMCPMC10797554
OpenAlexW4386384977

What OpenQuestion holds

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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.