title: Hyperinsulinemia is related to erythrocyte phospholipid composition and membrane fluidity changes in obese nondiabetic women.
abstract: It has been suggested that changes in the properties of cell membranes are involved in an altered insulin action. However, the influence of changes in the distribution of phospholipid classes has not been explored. We investigated 69 obese nondiabetic normoglycemic women (17 patients with impaired glucose tolerance) with varying degrees of insulin sensitivity to determine the phospholipid composition and fluid state of their erythrocyte plasma membranes. The fasting plasma insulin, the homeostasis model analysis of insulin resistance (HOMA), and the integrated area under the insulin curve (AUC-I) after an oral glucose challenge were used as markers of insulin resistance. Results were divided into normal glucose tolerance (NGT) and impaired glucose tolerance. There was a positive correlation in NGT group between the membrane sphingomyelin (SM) content and the fasting plasma insulin (r = 0.523; P < 0.0001), HOMA value (r = 0.483; P < 0.0005), and AUC-I (r = 0.352; P < 0.05) and negative correlations between membrane fluidity determined with two fluorescent probes and plasma fasting insulin (r = 0.320; r = -0.365; P < 0.05) and HOMA value (r = 0.321; r = -0.382; P < 0.05). There were also correlations between SM and the three markers of insulin resistance in the impaired glucose tolerance group. There was no correlation between insulin resistance and other membrane components. Stepwise multiple regression analysis in the NGT group confirmed that the membrane SM content was an independent predictor of plasma fasting insulin, HOMA values, and AUC-I variations. Sphingomyelin could be one of the membrane parameters contributing to insulin resistance.
authors.affiliation: Départment de Nutrition et des Maladies Métaboliques, INSERM CHU de Nancy, Hôpital Jeanne d'Arc, Toul, France.
authors.forename: H
authors.initials: H
authors.lastname: Candiloros
authors.forename: N
authors.initials: N
authors.lastname: Zeghari
authors.forename: O
authors.initials: O
authors.lastname: Ziegler
authors.forename: M
authors.initials: M
authors.lastname: Donner
authors.forename: P
authors.initials: P
authors.lastname: Drouin
mesh_terms: D000284:Administration, Oral; D000328:Adult; D004910:Erythrocyte Membrane / Q000378:metabolism*; D004912:Erythrocytes / Q000378:metabolism*; D005215:Fasting; D005260:Female; D005947:Glucose / Q000494:pharmacology; D006706:Homeostasis; D006801:Humans; D006946:Hyperinsulinism / Q000097:blood*; D007328:Insulin / Q000097:blood; D007333:Insulin Resistance; D008560:Membrane Fluidity; D008875:Middle Aged; D008954:Models, Biological; D009765:Obesity / Q000097:blood* / Q000503:physiopathology; D010743:Phospholipids / Q000378:metabolism*; D012044:Regression Analysis; D013109:Sphingomyelins / Q000097:blood
chemical_list: D007328:Insulin; D010743:Phospholipids; D013109:Sphingomyelins; D005947:Glucose