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Li-Gao, R.* ; de Mutsert, R.* ; Rensen, P.C.N.* ; van Klinken, J.B.* ; Prehn, C. ; Adamski, J.* ; van Hylckama Vlieg, A.* ; den Heijer, M.* ; le Cessie, S.* ; Rosendaal, F.R.* ; van Dijk, K.W.* ; Mook-Kanamori, D.O.*

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

Metabolomics 14:13 (2018)
Publ. Version/Full Text Research data DOI PMC
Open Access Hybrid
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Introduction Fasting metabolite profiles have been shown to distinguish type 2 diabetes (T2D) patients from normal glucose tolerance (NGT) individuals. Objectives We 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. Methods Three 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. Results Two metabolite profiles specific for T2D (n(fasting) = 12 metabolites, n(postprandial) = 4 metabolites) were identified, with all four postprandial metabolites also being identified in the fasting state. Stratified by the postprandial profile, the high-risk subgroup of IFG individuals (n = 72) showed similar glucose concentrations to the low-risk subgroup (n = 57), yet a higher BMI (difference: 3.3 kg/m(2) (95% CI 1.7-5.0)) and postprandial insulin concentrations (21.5 mU/L (95% CI 1.8-41.2)). Conclusion Postprandial 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.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Metabolomics ; Fasting ; Postprandial ; Lasso Regularised Logistic Regression ; Impaired Fasting Glucose ; Risk Stratification ; Type 2 Diabetes; Acylcarnitines; Obesity; Model; Risk
Language english
Publication Year 2018
Prepublished in Year 2017
HGF-reported in Year 2017
ISSN (print) / ISBN 1573-3882
e-ISSN 1573-3890
Journal Metabolomics
Quellenangaben Volume: 14, Issue: 1, Pages: , Article Number: 13 Supplement: ,
Publisher Springer
Publishing Place New York, NY
Reviewing status Peer reviewed
Institute(s) Molekulare Endokrinologie und Metabolismus (MEM)
POF-Topic(s) 30201 - Metabolic Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-505600-003
DOI 10.1007/s11306-017-1307-7
WOS ID WOS:000424713300013
Scopus ID 85037746017
PubMed ID 29249917
Erfassungsdatum 2018-01-15
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