A Gly482Ser missense mutation in the peroxisome proliferator-activated receptor gamma coactivator-1 is associated with altered lipid oxidation and early insulin secretion in Pima Indians

Yunhua Li Muller, Clifton Bogardus, Oluf Pedersen, Leslie Baier

    133 Citations (Scopus)

    Abstract

    Peroxisome proliferator-activated receptor gamma coactivator-1 (PGC-1) is a transcriptional coactivator of peroxisome proliferator-activated receptor gamma and alpha, which play important roles in adipogenesis and lipid metabolism. A single nucleotide polymorphism within the coding region of the PGC-1 gene predicts a glycine to serine substitution at amino acid 482 and has been associated with type 2 diabetes in a Danish population. In this study, we examined whether this Gly482Ser polymorphism is associated with type 2 diabetes or obesity, or metabolic predictors of these diseases, in Pima Indians. There was no association of the Gly482Ser polymorphism with either type 2 diabetes or BMI (n = 984). However, among nondiabetic Pima Indians (n = 183-201), those with the Gly/Gly genotype had a lower mean insulin secretory response to intravenous and oral glucose and a lower mean rate of lipid oxidation (over 24 h in a respiratory chamber) despite a larger mean subcutaneous abdominal adipocyte size and a higher mean plasma free fatty acid concentration. These data indicate that the Gly482Ser missense polymorphism in PGC-1 has metabolic consequences on lipid metabolism that could influence insulin secretion.
    Original languageEnglish
    JournalDiabetes
    Volume52
    Issue number3
    Pages (from-to)895-8
    Number of pages4
    ISSN0012-1797
    Publication statusPublished - 2003

    Keywords

    • Adipocytes
    • Adipose Tissue
    • Adult
    • Alleles
    • Blood Glucose
    • Body Composition
    • Body Mass Index
    • Cell Size
    • Diabetes Mellitus, Type 2
    • Female
    • Gene Frequency
    • Glycine
    • Humans
    • Indians, North American
    • Insulin
    • Lipid Peroxidation
    • Longitudinal Studies
    • Male
    • Mutation, Missense
    • Obesity
    • Sequence Analysis, DNA
    • Serine
    • Transcription Factors

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