Evidence map›Paper›PMID 31127814›Full record

ArticleThe American journal of clinical nutrition2019

Serum metabolite profiles of habitual diet: evaluation by 1H-nuclear magnetic resonance analysis.

Helen M Lindqvist, Millie Rådjursöga, Daniel Malmodin, Anna Winkvist, Lars Ellegård

Registry-linked trialAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02039609 (Nutritional Metabolomics), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

NCT02039609 completednot on this map

Nutritional Metabolomics: the Search for Dietary Exposure Variables 2

TypeobservationalSponsorGöteborg UniversityRan2013 to 2016Enrolled120ConditionsHealthy
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Observational
  2. Review
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  16. Observational
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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

5 authors.

Helen M LindqvistDepartment of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy.
Millie RådjursögaDepartment of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy.
Daniel MalmodinSwedish NMR Centre, University of Gothenburg, Gothenburg, Sweden.
Anna WinkvistDepartment of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy.
Lars EllegårdClinical Nutrition Unit, Department of Gastroenterology, Sahlgrenska University Hospital, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObjective and reliable methods to measure dietary exposure and prove associations and causation between diet and health are desirable.

objectiveThe aim of this study was to investigate if 1H-nuclear magnetic resonance (1H-NMR) analysis of serum samples may be used as an objective method to discriminate vegan, vegetarian, and omnivore diets. Specifically, the aim was to identify a metabolite pattern that separated meat-eaters from non-meat-eaters and vegans from nonvegans.

methodsHealthy volunteers (45 men and 75 women) complying with habitual vegan (n = 43), vegetarian (n = 24 + vegetarians adding fish n = 13), or omnivore (n = 40) diets were enrolled in the study. Data were collected on clinical phenotype, body composition, lifestyle including a food-frequency questionnaire (FFQ), and a 4-d weighed food diary. Serum samples were analyzed by routine clinical test and for metabolites by 1H-NMR spectroscopy. NMR data were nonnormalized, UV-scaled, and analyzed with multivariate data analysis [principal component analysis, orthogonal projections to latent structures (OPLS) and OPLS with discriminant analysis]. In the multivariate analysis volunteers were assigned as meat-eaters (omnivores), non-meat-eaters (vegans and vegetarians), vegans, or nonvegans (lacto-ovo-vegetarians, vegetarians adding fish, and omnivores). Metabolites were identified by line-fitting of 1D 1H-NMR spectra and the use of statistical total correlation spectroscopy.

resultsAlthough many metabolites differ in concentration between men and women as well as by age, body mass index, and body composition, it was possible to correctly classify 97.5% of the meat-eaters compared with non-meat-eaters and 92.5% of the vegans compared with nonvegans. The branched-chain amino acids, creatine, lysine, 2-aminobutyrate, glutamine, glycine, trimethylamine, and 1 unidentified metabolite were among the most important metabolites in the discriminating patterns in relation to intake of both meat and other animal products.

conclusions1H-NMR serum metabolomics appears to be a possible objective tool to identify and predict habitual intake of meat and other animal products in healthy subjects. These results should be confirmed in larger cohort studies or intervention trials. This trial was registered at clinicaltrials.gov as NCT02039609.

Indexed as

DietFeeding BehaviorMagnetic Resonance SpectroscopyAdultAnimalsBody CompositionDairy ProductsDiet RecordsDiet, VeganDiet, VegetarianEggsFemaleFishesHumansMaleMeat1H-NMRshabitual dietmeatmetabolomicsomnivoreveganvegetarian

Identifiers

PMID31127814
PMCPMC6885523

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.