Evidence map›Paper›PMID 30116002›Full record

ArticleScientific reports2018

The human metabolic profile reflects macro- and micronutrient intake distinctly according to fasting time.

A Sedlmeier, A Kluttig, I Giegling, C Prehn, J Adamski, G Kastenmüller, M E Lacruz

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
1.0field-weighted citation impact, top 24% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Utilizing centralized biorepository samples for biomarkers of cystic fibrosis lung disease severity.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2020
    Article
  6. Chronic Inflammation in the Context of Everyday Life: Dietary Changes as Mitigating Factors.International journal of environmental research and public health · 2020
    Review
  7. Article
  8. Observational
  9. Article
  10. 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

7 authors at 4 institutions in 2 countries.

A SedlmeierInstitute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
A KluttigInstitute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
I GieglingClinic of Psychiatry, Psychotherapy, and Psychosomatic, Martin-Luther-University Halle-Wittenberg, Halle, Germany.
C PrehnInstitute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany.ORCID 0000-0002-1274-4715
J AdamskiInstitute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany.ORCID 0000-0001-9259-0199
G KastenmüllerGerman Center for Diabetes Research (DZD), Neuherberg, Germany.
M E LacruzInstitute of Medical Epidemiology, Biostatistics and Informatics, Martin-Luther-University Halle-Wittenberg, Halle, Germany. elena.lacruz@uk-halle.de.
Martin Luther University Halle-Wittenberg · DEHelmholtz Zentrum München · DEKing's College London · GBUniversity of Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the impact of dietary patterns on human serum metabolites has been examined, the fasting effect on the metabolic profile has not yet been considered. The aim of this cross-sectional study is to investigate the influence of fasting regarding the association between dietary patterns, reflected by macro- and micronutrient intake, and human serum metabolites in a population-based cohort. A total 1197 non-diabetic German adults aged 45 to 83 years, who participated in baseline of the CARLA study 2002-2006 and had metabolite quantification were selected for this study. Macro- and micronutrient intakes were estimated from a food frequency questionnaire (FFQ). Concentrations of 134 serum metabolites were measured by targeted metabolomics AbsoluteIDQ p150 Kit. The association of dietary patterns with serum metabolites was calculated by means of linear regression and the influence of the fasting status was considered by including interaction terms with each macro- and micronutrient. Higher self-reported intake of alcohol and lower self-reported intake of organic acids were associated with higher concentrations of acylcarnitines and phosphatidylcholines. Mainly the associations between dietary patterns and acylcarnitines and hexose were altered after including interaction terms, suggesting effect modification by fasting status. No effect from fasting time was seen for amino acids and saturated, mono- and polyunsaturated phosphatidylcholines.

Indexed as

MetabolomicsAgedAged, 80 and overCohort StudiesEnergy IntakeFastingFemaleHumansMaleMicronutrientsMiddle AgedPostprandial PeriodSurveys and QuestionnairesTime FactorsMicronutrients

Identifiers

PMID30116002
PMCPMC6095860
OpenAlexW2886853086

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.