Online citations, reference lists, and bibliographies.

Weight‐HbA1c‐insulin‐glucose Model For Describing Disease Progression Of Type 2 Diabetes

S. Choy, MC Kjellsson, M. Karlsson, W. de Winter
Published 2016 · Medicine

Cite This
Download PDF
Analyze on Scholarcy
Share
A previous semi‐mechanistic model described changes in fasting serum insulin (FSI), fasting plasma glucose (FPG), and glycated hemoglobin (HbA1c) in patients with type 2 diabetic mellitus (T2DM) by modeling insulin sensitivity and β‐cell function. It was later suggested that change in body weight could affect insulin sensitivity, which this study evaluated in a population model to describe the disease progression of T2DM. Nonlinear mixed effects modeling was performed on data from 181 obese patients with newly diagnosed T2DM managed with diet and exercise for 67 weeks. Baseline β‐cell function and insulin sensitivity were 61% and 25% of normal, respectively. Management with diet and exercise (mean change in body weight = −4.1 kg) was associated with an increase of insulin sensitivity (30.1%) at the end of the study. Changes in insulin sensitivity were associated with a decrease of FPG (range, 7.8–7.3 mmol/L) and HbA1c (6.7–6.4%). Weight change as an effector on insulin sensitivity was successfully evaluated in a semi‐mechanistic population model.
This paper references
mellitus
R. R. Wing (1986)
10.1007/s10928-012-9261-5
Modeling of red blood cell life-spans in hematologically normal populations
R. Lledó-García (2012)
10.1111/j.1742-7843.2009.00510.x
An integrated model for the glucose-insulin system.
Hanna E. Silber (2010)
10.1007/BF00280883
Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man
D. Matthews (1985)
10.1182/blood-2008-04-154112
Red cell life span heterogeneity in hematologically normal people is sufficient to alter HbA1c.
R. Cohen (2008)
10.2337/diacare.15.3.318
Pathogenesis of NIDDM: A Balanced Overview
R. DeFronzo (1992)
NONMEM User’s Guides. (Ellicott City, MD: Icon Development Solutions; 1989–2014)
S. L. Beal (2014)
10.1038/nature05482
Mechanisms linking obesity to insulin resistance and type 2 diabetes
S. Kahn (2006)
User's Guides
S L Beal (1989)
10.1371/journal.pcbi.1000045
The Dynamics of Human Body Weight Change
Carson C. Chow (2008)
insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man
D. R. Matthews (1985)
10.1002/ajhb.20985
Body size and human energy requirements: Reduced mass‐specific total energy expenditure in tall adults
S. Heymsfield (2010)
10.1007/s10928-012-9289-6
A semi-mechanistic model of the relationship between average glucose and HbA1c in healthy and diabetic subjects
R. Lledó-García (2012)
10.2337/diacare.21.12.2191
Correct Homeostasis Model Assessment (HOMA) Evaluation Uses the Computer Program
J. Levy (1998)
10.2337/diacare.17.1.30
Caloric Restriction Per Se Is a Significant Factor in Improvements in Glycemic Control and Insulin Sensitivity During Weight Loss in Obese NIDDM Patients
R. Wing (1994)
10.2337/dc08-0545
Translating the A1C Assay Into Estimated Average Glucose Values
D. Nathan (2008)
10.2337/DIACARE.22.6.889
Effect of energy restriction, weight loss, and diet composition on plasma lipids and glucose in patients with type 2 diabetes.
L. Heilbronn (1999)
Effects of weight loss on mechanisms of hyperglycemia in obese non - insulin - dependent
R. R. Henry
Red blood cells in sports : effects of exercise and training on oxygen supply by red blood cells
H. Mairb € aurl (2008)
Integrating a model for weight change into the mechanism-based model for type 2 diabetes. Annual meeting of the Population Approach Group in Europe
W. de Winter (2009)
Human energy requirements : report of a Joint FAO/WHO/UNU Expert Consultation : Rome, 17-24 October 2001
Joint Fao (2004)
10.1038/psp.2013.58
Longitudinal Modeling of the Relationship Between Mean Plasma Glucose and HbA1c Following Antidiabetic Treatments
J B Møller (2013)
Guides. Icon Development Solutions
S L Beal (1989)
Human energy requirements: report of a joint FAO/ WHO/UNU Expert Consultation.
Martinez Nocito (2005)
effects of exercise and training on oxygen supply by red blood cells
Mairb€aurl (2013)
report of a Joint FAO/WHO/ UNU Expert Consultation, Rome, Italy, October 17–24, 2001
World Health Organization. Human energy requirements (2001)
Integrating a model for weight change into the mechanism-based model for type 2 diabetes
W De Winter (2009)
10.1046/J.1365-2125.2003.01751.X
Population PKPD modelling of the long-term hypoglycaemic effect of gliclazide given as a once-a-day modified release (MR) formulation.
N. Frey (2003)
10.2337/DIACARE.27.6.1487
Use and abuse of HOMA modeling.
T. Wallace (2004)
Integrating a model for weight change into the mechanism - based model for type 2 diabetes
R. A. DeFronzo (2009)
10.3389/fphys.2013.00332
Red blood cells in sports: effects of exercise and training on oxygen supply by red blood cells
H. Mairbäurl (2013)
Translating the A1C Assay into Estimated Average Glucose Values in Children with Type 1 Diabetes Mellitus
A. Sayed (2018)
10.2337/diab.35.9.990
Effects of Weight Loss on Mechanisms of Hyperglycemia in Obese Non-Insulin-Dependent Diabetes Mellitus
R. Henry (1986)
10.1007/s10928-006-9008-2
A Mechanism-based Disease Progression Model for Comparison of Long-term Effects of Pioglitazone, Metformin and Gliclazide on Disease Processes Underlying Type 2 Diabetes Mellitus
W. Winter (2006)
10.5772/59183
Pathogenesis of Type 2 Diabetes Mellitus
F. Alsaraj (2015)
10.1038/clpt.2008.2
Models for Plasma Glucose, HbA1c, and Hemoglobin Interrelationships in Patients with Type 2 Diabetes Following Tesaglitazar Treatment
B. Hamrén (2008)
Translating the A 1 C assay into estimated average glucose val
D. M. Nathan (2008)
mellitus
R. R. Wing (1986)
10.1152/ajpendo.1993.264.5.E829
Hepatic glucose production during the labeled IVGTT: estimation by deconvolution with a new minimal model.
A. Caumo (1993)



This paper is referenced by
Semantic Scholar Logo Some data provided by SemanticScholar