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Post-load glucose subgroups and associated metabolic traits in individuals with type 2 diabetes: An IMI-DIRECT study.
Obura, Morgan; Beulens, Joline W J; Slieker, Roderick; Koopman, Anitra D M; Hoekstra, Trynke; Nijpels, Giel; Elders, Petra; Koivula, Robert W; Kurbasic, Azra; Laakso, Markku; Hansen, Tue H; Ridderstråle, Martin; Hansen, Torben; Pavo, Imre; Forgie, Ian; Jablonka, Bernd; Ruetten, Hartmut; Mari, Andrea; McCarthy, Mark I; Walker, Mark; Heggie, Alison; McDonald, Timothy J; Perry, Mandy H; De Masi, Federico; Brunak, Søren; Mahajan, Anubha; Giordano, Giuseppe N; Kokkola, Tarja; Dermitzakis, Emmanouil; Viñuela, Ana; Pedersen, Oluf; Schwenk, Jochen M; Adamski, Jurek; Teare, Harriet J A; Pearson, Ewan R; Franks, Paul W; 't Hart, Leen M; Rutters, Femke.
Affiliation
  • Obura M; Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands.
  • Beulens JWJ; Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands.
  • Slieker R; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Koopman ADM; Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands.
  • Hoekstra T; Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands.
  • Nijpels G; Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands.
  • Elders P; Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands.
  • Koivula RW; Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Kurbasic A; Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands.
  • Laakso M; Department of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, Amsterdam University Medical Centre, Location VU University Medical Center, Amsterdam, The Netherlands.
  • Hansen TH; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden.
  • Ridderstråle M; Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, Oxford, United Kingdom.
  • Hansen T; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden.
  • Pavo I; Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
  • Forgie I; The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Jablonka B; Department of Cardiology and Endocrinology, Slagelse Hospital, Slagelse, Denmark.
  • Ruetten H; The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Mari A; The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • McCarthy MI; Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
  • Walker M; Eli Lilly Regional Operations GmbH, Vienna, Austria.
  • Heggie A; Division of Cardiovascular & Diabetes Medicine, Medical Research Institute, University of Dundee, Dundee, United Kingdom.
  • McDonald TJ; Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany.
  • Perry MH; Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany.
  • De Masi F; Institute of Biomedical Engineering, National Research Council, Padova, Italy.
  • Brunak S; Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), University of Oxford, Oxford, United Kingdom.
  • Mahajan A; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
  • Giordano GN; Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Kokkola T; Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, United Kingdom.
  • Dermitzakis E; NIHR Exeter Clinical Research Facility, University of Exeter Medical School and Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom.
  • Viñuela A; Department of Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, United Kingdom.
  • Pedersen O; Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark.
  • Schwenk JM; Department of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark.
  • Adamski J; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Teare HJA; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
  • Pearson ER; Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, Sweden.
  • Franks PW; Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
  • 't Hart LM; Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.
  • Rutters F; Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland.
PLoS One ; 15(11): e0242360, 2020.
Article in En | MEDLINE | ID: mdl-33253307
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Glucose / Diabetes Mellitus, Type 2 Type of study: Observational_studies / Prognostic_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2020 Document type: Article Affiliation country: Países Bajos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Blood Glucose / Diabetes Mellitus, Type 2 Type of study: Observational_studies / Prognostic_studies Limits: Aged / Female / Humans / Male / Middle aged Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2020 Document type: Article Affiliation country: Países Bajos