Evidence map›Paper›PMID 31504715›Full record

ArticleThe Journal of nutrition2020

Dietary Patterns Are Associated with Serum Metabolite Patterns and Their Association Is Influenced by Gut Bacteria among Older German Adults.

Kolade Oluwagbemigun, Jana Foerster, Claire Watkins, Fiona Fouhy, Catherine Stanton, Manuela M Bergmann, Heiner Boeing, Ute Nöthlings

Open access · greenAbstract read
In one paragraph

Article in The Journal of nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 17 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

8 authors at 4 institutions in 2 countries.

Kolade OluwagbemigunDepartment of Nutrition and Food Sciences, Nutritional Epidemiology, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany.
Jana FoersterCenter for Population and Health eV, Wiesbaden, Germany.
Claire WatkinsAPC Microbiome Ireland, Teagasc/University College Cork, Cork, Ireland.
Fiona FouhyTeagasc Moorepark Food Research Centre, Fermoy, Ireland.
Catherine StantonAPC Microbiome Ireland, Teagasc/University College Cork, Cork, Ireland.
Manuela M BergmannDepartment of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbrüke, Nuthetal, Germany.
Heiner BoeingDepartment of Epidemiology, German Institute of Human Nutrition, Potsdam-Rehbrüke, Nuthetal, Germany.
Ute NöthlingsDepartment of Nutrition and Food Sciences, Nutritional Epidemiology, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany.
Teagasc - The Irish Agriculture and Food Development Authority · IEGerman Institute of Human Nutrition · DEUniversity of Bonn · DEFederal Institute for Population Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough dietary intakes and dietary intake patterns (DPs) have been associated with single metabolites, it is unclear whether DPs are also reflected in specific metabolite patterns (MPs). Moreover, the influence of groups of gut bacteria on the relationship between DPs and MPs is underexplored.

objectivesWe aimed to investigate the association of DPs and serum MPs and also the modifying effect of the gut bacteria compositional patterns (BCPs).

methodsThis is a cross-sectional investigation among 225 individuals (median age: 63 y; 53% women) from the European Prospective Investigation into Cancer and Nutrition study. Dietary intakes were assessed by three 24-h dietary recalls, gut bacteria composition was quantified by 16S rRNA gene sequencing, and the serum metabolome was profiled by an untargeted approach. We identified DPs and BCPs by the treelet transform analysis. We modeled associations between DPs and 8 previously published MPs and the modifying effect of BCPs by fitting generalized linear models using DataSHIELD R.

resultsWe identified 5 DPs and 7 BCPs. The "bread, margarine, and processed meat" and "fruiting vegetables and vegetable oils" DPs were positively associated with the "amino acids" (β = 0.35; 95% CI: 0.02, 0.69; P = 0.03) and "fatty acids" MPs (β = 0.45; 95% CI: 0.16, 0.74; P = 0.01), respectively. The "tea and miscellaneous" was inversely associated with the "amino acids" (β = -0.28; 95% CI: -0.52, -0.05; P = 0.02) and "amino acid derivatives" MPs (β = -0.21; 95% CI: -0.39, -0.02; P = 0.03). One BCP negatively modified the association between the "bread, margarine, and processed meat" DP and the "amino acids" MP (P-interaction = 0.01).

conclusionsIn older German adults, DPs are reflected in MPs, and the gut bacteria attenuate 1 DP-MP association. These MPs should be explored as biomarkers of these jointly consumed foods while taking into account a potentially modifying role of the gut bacteria.

Indexed as

DietFeeding BehaviorGastrointestinal MicrobiomeAdultAgedBiomarkersCross-Sectional StudiesFemaleFoodHumansMaleMiddle AgedBiomarkersDataSHIELDdietary intake patternsgut bacteria compositional patternsserum metabolite patternstreelet transform analysis

Identifiers

PMID31504715
PMCPMC6946898
OpenAlexW2972182318

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LicenceCC BY-NC
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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.