title: Genetic Background, Adipocytokines, and Metabolic Disorders in Postmenopausal Overweight and Obese Women.
abstract: The relationship between the genetic background, adipocytokines, and metabolic state in postmenopausal women has not yet been fully described. The aim of this study was to determine the relationship between PPAR gamma-2 (Pro12Ala, C1431T) and ADRB3 (Trp64Arg) polymorphisms and serum adipocytokines (adiponectin, visfatin, and resistin) and metabolic disorders in 176 postmenopausal women with increased body mass (BMI ≥ 25 kg m(-2)). The distributions of selected alleles and genotype frequencies were determined with the PCR-RFLP method. The bioimpedance method was used to determine nutritional status, and enzyme-linked immunosorbent assays were applied to determine serum concentrations of adipocytokines. Viscerally obese postmenopausal women had higher body mass, body fat content, serum glucose, insulin, total cholesterol, LDL, triglycerides, uric acid, and HOMA-IR and a higher prevalence of the Ala12 allele. In models based on cytokine concentration, higher body mass and glucose concentration (visfatin model, p = 0.008) and higher insulin and triglyceride levels (resistin model, p = 0.002) were observed in visceral fat deposition and this was potentiated by the presence of the T1431 allele. In resistin models, co-existence of Ala12/X polymorphisms with the T1431 allele was associated with higher resistin and triglyceride concentrations (p = 0.045). In postmenopausal women, metabolic parameters are mainly determined by the distribution of body fat, but Ala12/X polymorphism may increase the metabolic disorders and this effect can be enhanced by the T1431 allele.
authors.affiliation: Department of Bromatology and Human Nutrition, Poznan University of Medical Sciences, Poznan, Poland. bgrygiel@ump.edu.pl.|Department of Rheumatology and Internal Diseases, Poznan University of Medical Sciences, Poznan, Poland. bgrygiel@ump.edu.pl.
authors.forename: Bogna
authors.initials: B
authors.lastname: Grygiel-Górniak
authors.affiliation: Department of Bioinformatics and Computational Biology, Poznan University of Medical Sciences, Poznan, Poland.
authors.forename: Elżbieta
authors.initials: E
authors.lastname: Kaczmarek
authors.affiliation: Department of Molecular Pathology, Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
authors.forename: Maria
authors.initials: M
authors.lastname: Mosor
authors.affiliation: Department of Bromatology and Human Nutrition, Poznan University of Medical Sciences, Poznan, Poland.
authors.forename: Juliusz
authors.initials: J
authors.lastname: Przysławski
authors.affiliation: Laboratory of Experimental Pharmacogenetics, Department of Clinical Pharmacy and Biopharmacy, Poznan University of Medical Sciences, Poznan, Poland.
authors.forename: Anna
authors.initials: A
authors.lastname: Bogacz
mesh_terms: D000368:Aged; D054458:Amplified Fragment Length Polymorphism Analysis / Q000379:methods; D050218:Body Fat Distribution; D005260:Female; D005787:Gene Frequency; D020022:Genetic Predisposition to Disease; D006801:Humans; D008659:Metabolic Diseases / Q000235:genetics*; D008875:Middle Aged; D009765:Obesity / Q000235:genetics*; D050177:Overweight / Q000235:genetics*; D047495:PPAR gamma / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide; D017698:Postmenopause; D022702:Receptors, Adrenergic, beta-3 / Q000235:genetics*
chemical_list: C568534:ADRB3 protein, human; D047495:PPAR gamma; D022702:Receptors, Adrenergic, beta-3
keywords: Adipocytokines; Body fat distribution; Metabolic disorders; PPAR gamma-2 and beta3-AR polymorphism; Postmenopausal obesity