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

  • Morgan Obura
  • , Joline W.J. Beulens
  • , Roderick Slieker
  • , Anitra D.M. Koopman
  • , Trynke Hoekstra
  • , Giel Nijpels
  • , Petra Elders
  • , Robert W. Koivula
  • , Azra Kurbasic
  • , Markku Laakso
  • , Tue H. Hansen
  • , Martin Ridderstråle
  • , Torben Hansen
  • , Imre Pavo
  • , Ian Forgie
  • , Bernd Jablonka
  • , Hartmut Ruetten
  • , Andrea Mari
  • , Mark I. McCarthy
  • , Mark Walker
  • Alison Heggie, Timothy J. McDonald, Mandy H. Perry, Federico De Masi, Søren Brunak, Anubha Mahajan, Giuseppe N. Giordano, Tarja Kokkola, Emmanouil Dermitzakis, Ana Viñuela, Oluf Pedersen, Jochen M. Schwenk, Jurek Adamski, Harriet J.A. Teare, Ewan R. Pearson, Paul W. Franks, Leen M. 't Hart, Femke Rutters, IMI-DIRECT consortium
  • Department of Medical Humanities, Amsterdam Public Health
  • University Medical Center Utrecht
  • Leiden University
  • Vrije University Amsterdam
  • Lund University
  • University of Oxford
  • University of Eastern Finland
  • Københavns Universitet
  • Næstved/Slagelse/Ringsted Sygehuse
  • Eli Lilly Regional Operations GmbH
  • University of Dundee
  • Sanofi
  • National Research Council
  • Newcastle University
  • Royal Devon & Exeter NHS Foundation Trust
  • Danmarks Tekniske Universitet
  • Geneva University Hospitals
  • University of Geneva
  • Swiss Institute of Bioinformatics
  • KTH Royal Institute of Technology
  • Institute of Human Genetics, Helmholtz Munich
  • Technical University of Munich
  • Yong Loo Lin School of Medicine
  • Harvard T.H. Chan School of Public Health

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Abstract

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.

OriginalsprogEngelsk
Artikelnummere0242360
TidsskriftPLOS ONE
Vol/bind15
Udgave nummer11
Antal sider11
ISSN1932-6203
DOI
StatusUdgivet - nov. 2020

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