PMID- 27679422 OWN - NLM STAT- MEDLINE DCOM- 20180105 LR - 20221207 IS - 1365-2125 (Electronic) IS - 0306-5251 (Print) IS - 0306-5251 (Linking) VI - 83 IP - 3 DP - 2017 Mar TI - The variability in beta-cell function in placebo-treated subjects with type 2 diabetes: application of the weight-HbA1c-insulin-glucose (WHIG) model. PG - 487-497 LID - 10.1111/bcp.13144 [doi] AB - 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 beta-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 beta-cell function) was required. The baseline beta-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 beta-cell function in the diabetic population. IS remained relatively stable between subjects but a large ISV in beta-cell function was observed. There was a trend towards decreasing beta-cell responsiveness with diabetes duration, and further studies, incorporating subjects with a longer history of diabetes, are required. CI - (c) 2016 The British Pharmacological Society. FAU - Duong, Janna K AU - Duong JK AD - Department of Medical Informatics, Erasmus Medical Centre, Rotterdam, the Netherlands. AD - Leiden Academic Centre for Drug Research (LACDR), Division of Pharmacology, Leiden University, Leiden, the Netherlands. AD - Faculty of Pharmacy, The University of Sydney, Sydney, NSW, Australia. FAU - de Winter, Willem AU - de Winter W AD - Janssen Prevention Center, Leiden, the Netherlands. FAU - Choy, Steve AU - Choy S AD - Department of Pharmaceutical Biosciences, Pharmacometrics Research Group, Uppsala University, Uppsala, Sweden. FAU - Plock, Nele AU - Plock N AD - Global Pharmacometrics, Takeda Pharmaceuticals International, Zurich and Deerfield, Switzerland and USA. FAU - Naik, Himanshu AU - Naik H AD - Global Pharmacometrics, Takeda Pharmaceuticals International, Zurich and Deerfield, Switzerland and USA. AD - Quantitative Pharmacology, Biogen, Cambridge, MA, USA. FAU - Krauwinkel, Walter AU - Krauwinkel W AD - Global Clinical Pharmacology and Exploratory Development, Astellas Pharma Europe BV, Leiden, the Netherlands. FAU - Visser, Sandra A G AU - Visser SA AD - Early Stage Quantitative Pharmacology & Pharmacometrics, Merck, Upper Gwynedd, PA, USA. FAU - Verhamme, Katia M AU - Verhamme KM AD - Department of Medical Informatics, Erasmus Medical Centre, Rotterdam, the Netherlands. FAU - Sturkenboom, Miriam C AU - Sturkenboom MC AD - Department of Medical Informatics, Erasmus Medical Centre, Rotterdam, the Netherlands. FAU - Stricker, B H AU - Stricker BH AD - Department of Epidemiology, Erasmus Medical Centre, Rotterdam, the Netherlands. FAU - Danhof, Meindert AU - Danhof M AD - Leiden Academic Centre for Drug Research (LACDR), Division of Pharmacology, Leiden University, Leiden, the Netherlands. LA - eng PT - Journal Article PT - Multicenter Study PT - Research Support, Non-U.S. Gov't DEP - 20161117 PL - England TA - Br J Clin Pharmacol JT - British journal of clinical pharmacology JID - 7503323 RN - 0 (Blood Glucose) RN - 0 (Glycated Hemoglobin A) RN - 0 (Insulin) SB - IM MH - *Blood Glucose MH - Body Weight/*physiology MH - Diabetes Mellitus, Type 2/blood/*physiopathology MH - Disease Progression MH - Fasting MH - Female MH - *Glycated Hemoglobin MH - Humans MH - Insulin/*blood MH - Insulin Resistance/*physiology MH - Insulin-Secreting Cells/*physiology MH - Male MH - Middle Aged MH - Models, Biological MH - Obesity/blood/physiopathology MH - Randomized Controlled Trials as Topic/statistics & numerical data PMC - PMC5306484 OTO - NOTNLM OT - beta-cell function OT - disease progression OT - placebo treatment OT - semi-mechanistic modelling OT - type 2 diabetes mellitus EDAT- 2016/09/30 06:00 MHDA- 2018/01/06 06:00 PMCR- 2018/03/01 CRDT- 2016/09/29 06:00 PHST- 2016/05/24 00:00 [received] PHST- 2016/09/15 00:00 [revised] PHST- 2016/09/25 00:00 [accepted] PHST- 2016/09/30 06:00 [pubmed] PHST- 2018/01/06 06:00 [medline] PHST- 2016/09/29 06:00 [entrez] PHST- 2018/03/01 00:00 [pmc-release] AID - BCP13144 [pii] AID - 10.1111/bcp.13144 [doi] PST - ppublish SO - Br J Clin Pharmacol. 2017 Mar;83(3):487-497. doi: 10.1111/bcp.13144. Epub 2016 Nov 17.