title: The minor allele of the PPARgamma2 pro12Ala polymorphism is associated with lower postprandial TAG and insulin levels in non-obese healthy men.
abstract: The PPARgamma Pro12Ala polymorphism has been associated in several studies with a decreased risk of obesity, type 2 diabetes and insulin resistance. Weak hints are available about the influence of PPARgamma Pro12Ala on postprandial metabolism. In 708 men, aged 45 to 65 years the PPARgamma2 Pro12Ala genotypes were determined and postprandial TAG, insulin, glucose and NEFA after a standardized mixed fat meal and insulin and glucose after a glucose load (oral glucose tolerance test; OGTT) were assessed. Using the total sample, we did not find a significant impact of the genotype on the postprandial metabolism. In the subgroup with BMI <30 kg/m2, fasting and postprandial TAG and insulin levels as well as homeostasis model assessment of insulin resistance (HOMA) were significantly lower in the Ala12Ala group than in the Pro12Pro group after the mixed meal. In contrast, the groups did not differ in insulin levels and HOMA after the OGTT. To investigate if differences between a fat-containing meal and OGTT are caused by adiponectin, we examined a BMI- and age-matched subgroup. No differences were found between the genotypic groups. The effects of the PPARgamma2 polymorphism on insulin sensitivity are mediated by affluent dietary fat. We did not find evidence that adiponectin as a fatty-acid-dependent adipocyte factor is a causative factor for this phenomenon.
authors.affiliation: Federal Research Centre for Nutrition and Food, Location Kiel; Hermann-Weigmann Str.1, 24103 Kiel, Germany. ulf.helwig@bfel.de
authors.forename: Ulf
authors.initials: U
authors.lastname: Helwig
authors.forename: Diana
authors.initials: D
authors.lastname: Rubin
authors.forename: Julia
authors.initials: J
authors.lastname: Kiosz
authors.forename: Stefan
authors.initials: S
authors.lastname: Schreiber
authors.forename: Ulrich R
authors.initials: UR
authors.lastname: Fölsch
authors.forename: Michael
authors.initials: M
authors.lastname: Nothnagel
authors.forename: Frank
authors.initials: F
authors.lastname: Döring
authors.forename: Jürgen
authors.initials: J
authors.lastname: Schrezenmeir
mesh_terms: D000368:Aged; D001786:Blood Glucose / Q000032:analysis; D015992:Body Mass Index; D049628:Body Size / Q000502:physiology; D015331:Cohort Studies; D005230:Fatty Acids, Nonesterified / Q000097:blood; D005787:Gene Frequency; D005838:Genotype; D005951:Glucose Tolerance Test; D006801:Humans; D007328:Insulin / Q000097:blood*; D007333:Insulin Resistance / Q000235:genetics; D008297:Male; D008875:Middle Aged; D047495:PPAR gamma / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D019518:Postprandial Period; D014280:Triglycerides / Q000097:blood*
chemical_list: D001786:Blood Glucose; D005230:Fatty Acids, Nonesterified; D007328:Insulin; D047495:PPAR gamma; D014280:Triglycerides