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Obura, M.* ; Beulens, J.W.J.* ; Slieker, R.* ; Koopman, A.D.M.* ; Hoekstra, T.* ; Nijpels, G.* ; Elders, P.* ; Koivula, R.W.* ; Kurbasic, A.* ; Laakso, M.* ; Hansen, T.H.* ; Ridderstråle, M.* ; Hansen, T.* ; Pavo, I.* ; Forgie, I.* ; Jablonka, B.* ; Ruetten, H.* ; Mari, A.* ; McCarthy, M.I.* ; Walker, M.* ; Heggie, A.* ; McDonald, T.J.* ; Perry, M.H.* ; De Masi, F.* ; Brunak, S.* ; Mahajan, A.* ; Giordano, G.N.* ; Kokkola, T.* ; Dermitzakis, E.* ; Viñuela, A.* ; Pedersen, O.* ; Schwenk, J.M.* ; Adamski, J. ; Teare, H.J.A.* ; Pearson, E.R.* ; Franks, P.W.* ; 't Hart, L.M.* ; Rutters, F.*

Post-load glucose subgroups and associated metabolic traits in individuals with type 2 diabetes: An IMI-DIRECT study.

PLoS ONE 15:e0242360 (2020)

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AIM: Subclasses of different glycaemic disturbances could explain the variation in characteristics of individuals with type 2 diabetes (T2D). We aimed to examine the association between subgroups based on their glucose curves during a five-point mixed-meal tolerance test (MMT) and metabolic traits at baseline and glycaemic deterioration in individuals with T2D. METHODS: The study included 787 individuals with newly diagnosed T2D from the Diabetes Research on Patient Stratification (IMI-DIRECT) Study. Latent class trajectory analysis (LCTA) was used to identify distinct glucose curve subgroups during a five-point MMT. Using general linear models, these subgroups were associated with metabolic traits at baseline and after 18 months of follow up, adjusted for potential confounders. RESULTS: At baseline, we identified three glucose curve subgroups, labelled in order of increasing glucose peak levels as subgroup 1-3. Individuals in subgroup 2 and 3 were more likely to have higher levels of HbA1c, triglycerides and BMI at baseline, compared to those in subgroup 1. At 18 months (n = 651), the beta coefficients (95% CI) for change in HbA1c (mmol/mol) increased across subgroups with 0.37 (-0.18-1.92) for subgroup 2 and 1.88 (-0.08-3.85) for subgroup 3, relative to subgroup 1. The same trend was observed for change in levels of triglycerides and fasting glucose. CONCLUSIONS: Different glycaemic profiles with different metabolic traits and different degrees of subsequent glycaemic deterioration can be identified using data from a frequently sampled mixed-meal tolerance test in individuals with T2D. Subgroups with the highest peaks had greater metabolic risk.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Insulin Sensitivity; Tolerance Test; Risk; Ogtt; Dysglycemia; Predictor; Patterns; Curve

ISSN (print) / ISBN 1932-6203

Journal PLoS ONE

Quellenangaben Volume: 15, Issue: 11, Article Number: e0242360

Publisher Public Library of Science (PLoS)

Publishing Place Lawrence, Kan.

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Molekulare Endokrinologie und Metabolismus (MEM)

Grants Amsterdam Public Health research institute
IMI-DIRECT grant
EFPIA
Innovative Medicines Initiative Joint Undertaking from the European Union's Seventh Framework Programme (FP7/2007-2013)