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The variability in beta-cell function in placebo-treated subjects with type 2 diabetes: application of the weight-HbA1c-insulin-glucose (WHIG) model.
Duong, Janna K; de Winter, Willem; Choy, Steve; Plock, Nele; Naik, Himanshu; Krauwinkel, Walter; Visser, Sandra A G; Verhamme, Katia M; Sturkenboom, Miriam C; Stricker, B H; Danhof, Meindert.
Afiliação
  • Duong JK; Department of Medical Informatics, Erasmus Medical Centre, Rotterdam, the Netherlands.
  • de Winter W; Leiden Academic Centre for Drug Research (LACDR), Division of Pharmacology, Leiden University, Leiden, the Netherlands.
  • Choy S; Faculty of Pharmacy, The University of Sydney, Sydney, NSW, Australia.
  • Plock N; Janssen Prevention Center, Leiden, the Netherlands.
  • Naik H; Department of Pharmaceutical Biosciences, Pharmacometrics Research Group, Uppsala University, Uppsala, Sweden.
  • Krauwinkel W; Global Pharmacometrics, Takeda Pharmaceuticals International, Zurich and Deerfield, Switzerland and USA.
  • Visser SA; Global Pharmacometrics, Takeda Pharmaceuticals International, Zurich and Deerfield, Switzerland and USA.
  • Verhamme KM; Quantitative Pharmacology, Biogen, Cambridge, MA, USA.
  • Sturkenboom MC; Global Clinical Pharmacology and Exploratory Development, Astellas Pharma Europe BV, Leiden, the Netherlands.
  • Stricker BH; Early Stage Quantitative Pharmacology & Pharmacometrics, Merck, Upper Gwynedd, PA, USA.
  • Danhof M; Department of Medical Informatics, Erasmus Medical Centre, Rotterdam, the Netherlands.
Br J Clin Pharmacol ; 83(3): 487-497, 2017 03.
Article em En | MEDLINE | ID: mdl-27679422
ABSTRACT

AIM:

The weight-glycosylated haemoglobin (HbA1C)-insulin-glucose (WHIG) model describes the effects of changes in weight on insulin sensitivity (IS) in newly diagnosed, obese subjects receiving placebo treatment. This model was applied to a wider population of placebo-treated subjects, to investigate factors influencing the variability in IS and ß-cell function.

METHODS:

The WHIG model was applied to the WHIG dataset (Study 1) and two other placebo datasets (Studies 2 and 3). Studies 2 and 3 consisted of nonobese subjects and subjects with advanced type 2 diabetes mellitus (T2DM). Body weight, fasting serum insulin (FSI), fasting plasma glucose (FPG) and HbA1c were used for nonlinear mixed-effects modelling (using NONMEM v7.2 software). Sources of interstudy variability (ISV) and potential covariates (age, gender, diabetes duration, ethnicity, compliance) were investigated.

RESULTS:

An ISV for baseline parameters (body weight and ß-cell function) was required. The baseline ß-cell function was significantly lower in subjects with advanced T2DM (median difference Study 2 15.6%, P < 0.001; Study 3 22.7%, P < 0.001) than in subjects with newly diagnosed T2DM (Study 1). A reduction in the estimated insulin secretory response in subjects with advanced T2DM was observed but diabetes duration was not a significant covariate.

CONCLUSION:

The WHIG model can be used to describe the changes in weight, IS and ß-cell function in the diabetic population. IS remained relatively stable between subjects but a large ISV in ß-cell function was observed. There was a trend towards decreasing ß-cell responsiveness with diabetes duration, and further studies, incorporating subjects with a longer history of diabetes, are required.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glicemia / Peso Corporal / Hemoglobinas Glicadas / Resistência à Insulina / Diabetes Mellitus Tipo 2 / Células Secretoras de Insulina / Insulina Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glicemia / Peso Corporal / Hemoglobinas Glicadas / Resistência à Insulina / Diabetes Mellitus Tipo 2 / Células Secretoras de Insulina / Insulina Idioma: En Ano de publicação: 2017 Tipo de documento: Article