TY - JOUR
T1 - Postprandial metabolite profiles associated with type 2 diabetes clearly stratify individuals with impaired fasting glucose
AU - Li-Gao, Ruifang
AU - de Mutsert, Renée
AU - Rensen, Patrick C. N.
AU - van Klinken, Jan Bert
AU - Prehn, Cornelia
AU - Adamski, Jerzy
AU - van Hylckama Vlieg, Astrid
AU - den Heijer, Martin
AU - le Cessie, Saskia
AU - Rosendaal, Frits R.
AU - Willems van Dijk, Ko
AU - Mook-Kanamori, Dennis O.
PY - 2018/1
Y1 - 2018/1
N2 - 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 (nfasting = 12 metabolites, npostprandial = 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/m2 (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.
AB - 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 (nfasting = 12 metabolites, npostprandial = 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/m2 (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.
KW - Fasting
KW - Impaired fasting glucose
KW - LASSO regularised logistic regression
KW - Metabolomics
KW - Postprandial
KW - Risk stratification
KW - Type 2 diabetes
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85037746017&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/29249917
U2 - https://doi.org/10.1007/s11306-017-1307-7
DO - https://doi.org/10.1007/s11306-017-1307-7
M3 - Article
C2 - 29249917
SN - 1573-3882
VL - 14
JO - Metabolomics
JF - Metabolomics
IS - 1
M1 - 13
ER -