Evidence map›Paper›PMID 29249917›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2018

Postprandial metabolite profiles associated with type 2 diabetes clearly stratify individuals with impaired fasting glucose.

Ruifang Li-Gao, Renée de Mutsert, Patrick C N Rensen, Jan Bert van Klinken, Cornelia Prehn, Jerzy Adamski, Astrid van Hylckama Vlieg, Martin den Heijer, Saskia le Cessie, Frits R Rosendaal and 2 more

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Article in Metabolomics : Official journal of the Metabolomic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

17 citing papers in PubMed, 22 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

12 authors at 3 institutions in 2 countries.

Ruifang Li-GaoDepartment of Clinical Epidemiology, Leiden University Medical Center, P. O. Box 9600, 2300 RC, Leiden, The Netherlands. r.li@lumc.nl.
Renée de MutsertDepartment of Clinical Epidemiology, Leiden University Medical Center, P. O. Box 9600, 2300 RC, Leiden, The Netherlands.
Patrick C N RensenDivision of Endocrinology, Department of Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Jan Bert van KlinkenEinthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Cornelia PrehnInstitute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany.
Jerzy AdamskiInstitute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany.
Astrid van Hylckama VliegDepartment of Clinical Epidemiology, Leiden University Medical Center, P. O. Box 9600, 2300 RC, Leiden, The Netherlands.
Martin den HeijerDepartment of Clinical Epidemiology, Leiden University Medical Center, P. O. Box 9600, 2300 RC, Leiden, The Netherlands.
Saskia le CessieDepartment of Clinical Epidemiology, Leiden University Medical Center, P. O. Box 9600, 2300 RC, Leiden, The Netherlands.
Frits R RosendaalDepartment of Clinical Epidemiology, Leiden University Medical Center, P. O. Box 9600, 2300 RC, Leiden, The Netherlands.
Ko Willems van DijkDivision of Endocrinology, Department of Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Dennis O Mook-KanamoriDepartment of Clinical Epidemiology, Leiden University Medical Center, P. O. Box 9600, 2300 RC, Leiden, The Netherlands.
Leiden University Medical Center · NLDeutsches Diabetes-Zentrum e.V. · DEHelmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFasting metabolite profiles have been shown to distinguish type 2 diabetes (T2D) patients from normal glucose tolerance (NGT) individuals.

objectivesWe investigated whether, besides fasting metabolite profiles, postprandial metabolite profiles associated with T2D can stratify individuals with impaired fasting glucose (IFG) by their similarities to T2D.

methodsThree groups of individuals (age 45-65 years) without any history of IFG or T2D were selected from the Netherlands Epidemiology of Obesity study and stratified by baseline fasting glucose concentrations (NGT (n = 176), IFG (n = 186), T2D (n = 171)). 163 metabolites were measured under fasting and postprandial states (150 min after a meal challenge). Metabolite profiles specific for a high risk of T2D were identified by LASSO regression for fasting and postprandial states. The selected profiles were utilised to stratify IFG group into high (T2D probability ≥ 0.7) and low (T2D probability ≤ 0.5) risk subgroups. The stratification performances were compared with clinically relevant metabolic traits.

resultsTwo metabolite profiles specific for T2D (n

conclusionPostprandial metabolites identified T2D patients as good as fasting metabolites and exhibited enhanced signals for IFG stratification, which offers a proof of concept that metabolomics research should not focus on the fasting state alone.

Indexed as

FastingImpaired fasting glucoseLASSO regularised logistic regressionMetabolomicsPostprandialRisk stratificationType 2 diabetes

Identifiers

PMID29249917
PMCPMC5727148
OpenAlexW2773354582

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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.