Your browser doesn't support javascript.
loading
Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: descriptive characteristics of the epidemiological studies within the IMI DIRECT Consortium.
Koivula, Robert W; Forgie, Ian M; Kurbasic, Azra; Viñuela, Ana; Heggie, Alison; Giordano, Giuseppe N; Hansen, Tue H; Hudson, Michelle; Koopman, Anitra D M; Rutters, Femke; Siloaho, Maritta; Allin, Kristine H; Brage, Søren; Brorsson, Caroline A; Dawed, Adem Y; De Masi, Federico; Groves, Christopher J; Kokkola, Tarja; Mahajan, Anubha; Perry, Mandy H; Rauh, Simone P; Ridderstråle, Martin; Teare, Harriet J A; Thomas, E Louise; Tura, Andrea; Vestergaard, Henrik; White, Tom; Adamski, Jerzy; Bell, Jimmy D; Beulens, Joline W; Brunak, Søren; Dermitzakis, Emmanouil T; Froguel, Philippe; Frost, Gary; Gupta, Ramneek; Hansen, Torben; Hattersley, Andrew; Jablonka, Bernd; Kaye, Jane; Laakso, Markku; McDonald, Timothy J; Pedersen, Oluf; Schwenk, Jochen M; Pavo, Imre; Mari, Andrea; McCarthy, Mark I; Ruetten, Hartmut; Walker, Mark; Pearson, Ewan; Franks, Paul W.
Afiliación
  • Koivula RW; Department of Clinical Sciences, Lund University Diabetes Centre, Genetic and Molecular Epidemiology Unit, CRC, Skåne University Hospital Malmö, Building 91, Level 10, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden.
  • Forgie IM; Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
  • Kurbasic A; Population Health & Genomics, Medical Research Institute, University of Dundee, Dundee, DD1 9SY, UK.
  • Viñuela A; Department of Clinical Sciences, Lund University Diabetes Centre, Genetic and Molecular Epidemiology Unit, CRC, Skåne University Hospital Malmö, Building 91, Level 10, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden.
  • Heggie A; Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.
  • Giordano GN; Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland.
  • Hansen TH; Swiss Institute of Bioinformatics, Geneva, Switzerland.
  • Hudson M; Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, UK.
  • Koopman ADM; Department of Clinical Sciences, Lund University Diabetes Centre, Genetic and Molecular Epidemiology Unit, CRC, Skåne University Hospital Malmö, Building 91, Level 10, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden.
  • Rutters F; The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark.
  • Siloaho M; NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK.
  • Allin KH; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands.
  • Brage S; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands.
  • Brorsson CA; Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
  • Dawed AY; The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark.
  • De Masi F; Department of Clinical Epidemiology, Bispebjerg and Frederiksberg Hospital, the Capital Region, Copenhagen, Denmark.
  • Groves CJ; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
  • Kokkola T; Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
  • Mahajan A; Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
  • Perry MH; Population Health & Genomics, Medical Research Institute, University of Dundee, Dundee, DD1 9SY, UK.
  • Rauh SP; Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
  • Ridderstråle M; Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
  • Teare HJA; Department of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
  • Thomas EL; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
  • Tura A; NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK.
  • Vestergaard H; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands.
  • White T; Department of Clinical Sciences, Clinical Obesity, Skåne University Hospital Malmö, Lund University, Malmö, Sweden.
  • Adamski J; Novo Nordisk A/S, Søborg, Denmark.
  • Bell JD; HeLEX, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, UK.
  • Beulens JW; Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK.
  • Brunak S; Institute of Neurosciences, National Research Council, Padova, Italy.
  • Dermitzakis ET; The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark.
  • Froguel P; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK.
  • Frost G; Institute of Epidemiology II, Helmholtz Zentrum Muenchen, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
  • Gupta R; Research Centre for Optimal Health, Department of Life Sciences, University of Westminster, London, UK.
  • Hansen T; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands.
  • Hattersley A; Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
  • Jablonka B; The Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
  • Kaye J; Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland.
  • Laakso M; Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland.
  • McDonald TJ; Swiss Institute of Bioinformatics, Geneva, Switzerland.
  • Pedersen O; Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, UK.
  • Schwenk JM; CNRS, Pasteur Institute of Lille, University of Lille, Lille, France.
  • Pavo I; Nutrition and Dietetics Research Group, Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, Imperial College London, Hammersmith Campus, London, UK.
  • Mari A; Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
  • McCarthy MI; The Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark.
  • Ruetten H; Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
  • Walker M; NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK.
  • Pearson E; Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
  • Franks PW; Sanofi-Aventis Deutschland GmbH, R&D, Frankfurt am Main, Germany.
Diabetologia ; 62(9): 1601-1615, 2019 09.
Article en En | MEDLINE | ID: mdl-31203377
ABSTRACT
AIMS/

HYPOTHESIS:

Here, we describe the characteristics of the Innovative Medicines Initiative (IMI) Diabetes Research on Patient Stratification (DIRECT) epidemiological cohorts at baseline and follow-up examinations (18, 36 and 48 months of follow-up).

METHODS:

From a sampling frame of 24,682 adults of European ancestry enrolled in population-based cohorts across Europe, participants at varying risk of glycaemic deterioration were identified using a risk prediction algorithm (based on age, BMI, waist circumference, use of antihypertensive medication, smoking status and parental history of type 2 diabetes) and enrolled into a prospective cohort study (n = 2127) (cohort 1, prediabetes risk). We also recruited people from clinical registries with type 2 diabetes diagnosed 6-24 months previously (n = 789) into a second cohort study (cohort 2, diabetes). Follow-up examinations took place at ~18 months (both cohorts) and at ~48 months (cohort 1) or ~36 months (cohort 2) after baseline examinations. The cohorts were studied in parallel using matched protocols across seven clinical centres in northern Europe.

RESULTS:

Using ADA 2011 glycaemic categories, 33% (n = 693) of cohort 1 (prediabetes risk) had normal glucose regulation and 67% (n = 1419) had impaired glucose regulation. Seventy-six per cent of participants in cohort 1 was male. Cohort 1 participants had the following characteristics (mean ± SD) at baseline age 62 (6.2) years; BMI 27.9 (4.0) kg/m2; fasting glucose 5.7 (0.6) mmol/l; 2 h glucose 5.9 (1.6) mmol/l. At the final follow-up examination the participants' clinical characteristics were as follows fasting glucose 6.0 (0.6) mmol/l; 2 h OGTT glucose 6.5 (2.0) mmol/l. In cohort 2 (diabetes), 66% (n = 517) were treated by lifestyle modification and 34% (n = 272) were treated with metformin plus lifestyle modification at enrolment. Fifty-eight per cent of participants in cohort 2 was male. Cohort 2 participants had the following characteristics at baseline age 62 (8.1) years; BMI 30.5 (5.0) kg/m2; fasting glucose 7.2 (1.4) mmol/l; 2 h glucose 8.6 (2.8) mmol/l. At the final follow-up examination, the participants' clinical characteristics were as follows fasting glucose 7.9 (2.0) mmol/l; 2 h mixed-meal tolerance test glucose 9.9 (3.4) mmol/l. CONCLUSIONS/

INTERPRETATION:

The IMI DIRECT cohorts are intensely characterised, with a wide-variety of metabolically relevant measures assessed prospectively. We anticipate that the cohorts, made available through managed access, will provide a powerful resource for biomarker discovery, multivariate aetiological analyses and reclassification of patients for the prevention and treatment of type 2 diabetes.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Asunto principal: Glucemia / Biomarcadores / Diabetes Mellitus Tipo 2 Tipo de estudio: Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Diabetologia Año: 2019 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Colección: 01-internacional Asunto principal: Glucemia / Biomarcadores / Diabetes Mellitus Tipo 2 Tipo de estudio: Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Diabetologia Año: 2019 Tipo del documento: Article País de afiliación: Suecia