Evidence map›Paper›PMID 35277064›Full record

ArticleNutrients2022

The Biology of Veganism: Plasma Metabolomics Analysis Reveals Distinct Profiles of Vegans and Non-Vegetarians in the Adventist Health Study-2 Cohort.

Fayth L Miles, Michael J Orlich, Andrew Mashchak, Paulette D Chandler, Johanna W Lampe, Penelope Duerksen-Hughes, Gary E Fraser

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Vegetarian Dietary Patterns and Diet-Related Metabolites Are Associated With Kidney Function in the Adventist Health Study-2 Cohort.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2026
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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

7 authors at 3 institutions in 1 country.

Fayth L MilesAdventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA.
Michael J OrlichAdventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA.ORCID 0000-0001-7761-0622
Andrew MashchakAdventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA.ORCID 0000-0002-0684-1148
Paulette D ChandlerDivision of Preventive Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA.ORCID 0000-0002-4213-1215
Johanna W LampePublic Health Sciences Division, Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Penelope Duerksen-HughesDepartment of Basic Science, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA.ORCID 0000-0002-0998-2157
Gary E FraserAdventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA.
Loma Linda University · USBrigham and Women's Hospital · USFred Hutch Cancer Center · US

Funding

Influence of Dietary Pattern and Race on Metabolic and Epigenetic Alterations Associated with Cancer DevelopmentK01MD015194 · NIMHD · LOMA LINDA UNIVERSITY · PI MILES, FAYTH · 2020 to 2022
$361k
Ardmore Institute of Health N/ABasic Science and Translational Research Pilot FundsLoma Linda University Health pilot grant N/ANIMHD NIH HHS K01 MD015194NIMHD NIH HHS K01MD015194
6 · The paper itself

Abstract

It is unclear how vegetarian dietary patterns influence plasma metabolites involved in biological processes regulating chronic diseases. We sought to identify plasma metabolic profiles distinguishing vegans (avoiding meat, eggs, dairy) from non-vegetarians (consuming ≥28 g/day red meat) of the Adventist Health Study-2 cohort using global metabolomics profiling with ultra-performance liquid chromatography mass spectrometry (UPLC-MS/MS). Differences in abundance of metabolites or biochemical subclasses were analyzed using linear regression models, adjusting for surrogate and confounding variables, with cross-validation to simulate results from an independent sample. Random forest was used as a learning tool for classification, and principal component analysis was used to identify clusters of related metabolites. Differences in covariate-adjusted metabolite abundance were identified in over 60% of metabolites (586/930), after adjustment for false discovery. The vast majority of differentially abundant metabolites or metabolite subclasses showed lower abundance in vegans, including xanthine, histidine, branched fatty acids, acetylated peptides, ceramides, and long-chain acylcarnitines, among others. Many of these metabolite subclasses have roles in insulin dysregulation, cardiometabolic phenotypes, and inflammation. Analysis of metabolic profiles in vegans and non-vegetarians revealed vast differences in these two dietary groups, reflecting differences in consumption of animal and plant products. These metabolites serve as biomarkers of food intake, many with potential pathophysiological consequences for cardiometabolic diseases.

Indexed as

Diet, VeganVegansAnimalsChromatography, LiquidDiet, VegetarianHumansMetabolomicsTandem Mass SpectrometryVegetariansbiomarkerscohortdietary patternfalse discoverylinear regressionmetabolomicsvegetarian

Identifiers

PMID35277064
PMCPMC8839915
OpenAlexW4211102949

What OpenQuestion holds

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LicenceCC BY
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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.