title: Predictive models of insulin resistance derived from simple morphometric and biochemical indices related to obesity and the metabolic syndrome in baboons.
abstract: BACKGROUND
  Non-human primates are valuable models for the study of insulin resistance and human obesity. In baboons, insulin sensitivity levels can be evaluated directly with the euglycemic clamp and is highly predicted by adiposity, metabolic markers of obesity and impaired glucose metabolism (i.e. percent body fat by DXA and HbA1c). However, a simple method to screen and identify obese insulin resistant baboons for inclusion in interventional studies is not available.
  
  
  METHODS
  We studied a population of twenty baboons with the euglycemic clamp technique to characterize a population of obese nondiabetic, insulin resistant baboons, and used a multivariate linear regression analysis (adjusted for gender) to test different predictive models of insulin sensitivity (insulin-stimulated glucose uptake = Rd) using abdominal circumference and fasting plasma insulin. Alternatively, we tested in a separate baboon population (n = 159), a simpler model based on body weight and fasting plasma glucose to predict the whole-body insulin sensitivity (Rd/SSPI) derived from the clamp.
  
  
  RESULTS
  In the first model, abdominal circumference explained 59% of total insulin mediated glucose uptake (Rd). A second model, which included fasting plasma insulin (log transformed) and abdominal circumference, explained 64% of Rd. Finally, the model using body weight and fasting plasma glucose explained 51% of Rd/SSPI. Interestingly, we found that percent body fat was directly correlated with the adipocyte insulin resistance index (r = 0.755, p < 0.0001).
  
  
  CONCLUSIONS
  In baboons, simple morphometric measurements of adiposity/obesity, (i.e. abdominal circumference), plus baseline markers of glucose/lipid metabolism, (i.e. fasting plasma glucose and insulin) provide a feasible method to screen and identify overweight/obese insulin resistant baboons for inclusion in interventional studies aimed to study human obesity, insulin resistance and type 2 diabetes mellitus.
authors.affiliation: Department of Medicine, Diabetes Division, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA. chavezvelazq@uthscsa.edu
authors.forename: Alberto O
authors.initials: AO
authors.lastname: Chavez
authors.forename: Amalia
authors.initials: A
authors.lastname: Gastaldelli
authors.forename: Rodolfo
authors.initials: R
authors.lastname: Guardado-Mendoza
authors.forename: Juan C
authors.initials: JC
authors.lastname: Lopez-Alvarenga
authors.forename: M Michelle
authors.initials: MM
authors.lastname: Leland
authors.forename: M Elizabeth
authors.initials: ME
authors.lastname: Tejero
authors.forename: GianPio
authors.initials: G
authors.lastname: Sorice
authors.forename: Francesca
authors.initials: F
authors.lastname: Casiraghi
authors.forename: Alberto
authors.initials: A
authors.lastname: Davalli
authors.forename: Raúl A
authors.initials: RA
authors.lastname: Bastarrachea
authors.forename: Anthony G
authors.initials: AG
authors.lastname: Comuzzie
authors.forename: Ralph A
authors.initials: RA
authors.lastname: DeFronzo
authors.forename: Franco
authors.initials: F
authors.lastname: Folli
mesh_terms: D000273:Adipose Tissue / Q000378:metabolism; D000818:Animals; D001786:Blood Glucose / Q000378:metabolism; D015992:Body Mass Index; D004195:Disease Models, Animal; D005260:Female; D007333:Insulin Resistance / Q000502:physiology*; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood* / Q000503:physiopathology; D009765:Obesity / Q000097:blood* / Q000503:physiopathology; D010215:Papio; D048529:Papio hamadryas; D011237:Predictive Value of Tests
chemical_list: D001786:Blood Glucose