Evidence map›Paper›PMID 28936587›Full record

ArticleDiabetologia2018

Metabolite ratios as potential biomarkers for type 2 diabetes: a DIRECT study.

Sophie Molnos, Simone Wahl, Mark Haid, E Marelise W Eekhoff, René Pool, Anna Floegel, Joris Deelen, Daniela Much, Cornelia Prehn, Michaela Breier and 34 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

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  14. Maternal Body Mass Index, Early-Pregnancy Metabolite Profile, and Birthweight.The Journal of clinical endocrinology and metabolism · 2022
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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

44 authors at 12 institutions in 5 countries.

Sophie MolnosResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Simone WahlResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Mark HaidInstitute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
E Marelise W EekhoffDepartment of Internal Medicine-Diabetes Center, VU University Medical Center, Amsterdam, the Netherlands.
René PoolDepartment of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.
Anna FloegelDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Joris DeelenDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Daniela MuchGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Cornelia PrehnInstitute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Michaela BreierResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Harmen H DraismaDepartment of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.
Nienke van LeeuwenDepartment of Molecular Cell Biology, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, the Netherlands.
Annemarie M C Simonis-BikDepartment of Internal Medicine-Diabetes Center, VU University Medical Center, Amsterdam, the Netherlands.
Anna JonssonNovo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Gonneke WillemsenDepartment of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.
Wolfgang BernigauDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Rui Wang-SattlerResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Karsten SuhreDepartment of Biophysics and Physiology, Weill Cornell Medical College in Qatar, Doha, Qatar.
Annette PetersInstitute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Barbara ThorandInstitute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Christian HerderGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Wolfgang RathmannGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Michael RodenGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Christian GiegerResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Mark H H KramerDepartment of Internal Medicine-Diabetes Center, VU University Medical Center, Amsterdam, the Netherlands.
Diana van HeemstDepartment of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands.
Helle K PedersenDepartment of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark.
Valborg GudmundsdottirDepartment of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark.
Matthias B SchulzeGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Tobias PischonMolecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine, Berlin Buch, Germany.
Eco J C de GeusDepartment of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.
Heiner BoeingDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Dorret I BoomsmaDepartment of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands.
Anette G ZieglerGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany.
P Eline SlagboomDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Sandra HummelGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Marian BeekmanDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Harald GrallertResearch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.
Søren BrunakDepartment of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark.
Mark I McCarthyOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Churchill Hospital, Headington, Oxford, UK.
Ramneek GuptaDepartment of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark.
Ewan R PearsonDivision of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, UK.
Jerzy AdamskiGerman Center for Diabetes Research (DZD), München-Neuherberg, Germany.
Leen M 't HartDepartment of Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands. lmthart@lumc.nl.
Helmholtz Zentrum München · DELeiden University Medical Center · NLVrije Universiteit Amsterdam · NLDeutsches Diabetes-Zentrum e.V. · DETechnical University of Denmark · DKAmsterdam UMC Location Vrije Universiteit Amsterdam · NLGerman Institute of Human Nutrition · DETUM Klinikum · DECentre for Human Genetics · GBMax Delbrück Center · DEUniversity of Copenhagen · DKUniversity of Dundee · GB

Funding

BBMRI-NL 184.021.007European Research Council 230374Helmholtz International Research Group HRG-0018Innovative Medicines Initiative Joint Undertaking 115317Nederlandse Organisatie voor Wetenschappelijk Onderzoek IGE01014/IGE05007Seventh Framework Programme 259679Sixth Framework Programme 036894
6 · The paper itself

Abstract

aims/hypothesisCirculating metabolites have been shown to reflect metabolic changes during the development of type 2 diabetes. In this study we examined the association of metabolite levels and pairwise metabolite ratios with insulin responses after glucose, glucagon-like peptide-1 (GLP-1) and arginine stimulation. We then investigated if the identified metabolite ratios were associated with measures of OGTT-derived beta cell function and with prevalent and incident type 2 diabetes.

methodsWe measured the levels of 188 metabolites in plasma samples from 130 healthy members of twin families (from the Netherlands Twin Register) at five time points during a modified 3 h hyperglycaemic clamp with glucose, GLP-1 and arginine stimulation. We validated our results in cohorts with OGTT data (n = 340) and epidemiological case-control studies of prevalent (n = 4925) and incident (n = 4277) diabetes. The data were analysed using regression models with adjustment for potential confounders.

resultsThere were dynamic changes in metabolite levels in response to the different secretagogues. Furthermore, several fasting pairwise metabolite ratios were associated with one or multiple clamp-derived measures of insulin secretion (all p < 9.2 × 10 CONCLUSIONS/

interpretationIn this study we have shown that the Val_PC ae C32:2 metabolite ratio is associated with an increased risk of type 2 diabetes and measures of insulin secretion and resistance. The observed effects were stronger than that of the individual metabolites and independent of known risk factors.

Indexed as

ArginineBiomarkersBlood GlucoseDiabetes Mellitus, Type 2FemaleGlucagon-Like Peptide 1GlucoseGlucose Tolerance TestHumansInsulinMaleRisk FactorsArginineBiomarkersBlood GlucoseGlucagon-Like Peptide 1GlucoseInsulinEpidemiologyInsulin secretionMetabolomicsPrediction of diabetesType 2 diabetes

Identifiers

PMID28936587
PMCPMC6448944
OpenAlexW2754091197

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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.