To explain the variation of OGTT dynamics by biological mechanisms: a novel approach based on principal components analysis in XXXX with history of GDM.

@entity1 @entity2690 @entity1735 @entity13435 @entity11620 @entity413
UNASSIGNED: Early reexamination of @entity1735 metabolism via an oral @entity413 tolerance test (OGTT) is recommended after pregnancy with gestational diabetes (GDM). In this report, we aimed to assess the dominant patterns of dynamic OGTT measurements and subsequently explain them by meanings of the underlying pathophysiological processes. Principal components analysis (PCA), a statistical procedure that aims to reduce the dimensionality of multiple interrelated measures to a set of linearly uncorrelated variables (the principal components) was performed on OGTT data of @entity413 , @entity2690 and C-peptide in addition to age and body mass index (BMI) of 151 @entity1 (n = 110 females after GDM and n = 41 controls) at 3-6 mo after delivery. These components were explained by frequently sampled intravenous @entity413 tolerance test (FSIGT) parameters. Moreover, their relation with the later development of overt diabetes was studied. Three principal components (PC) were identified, which explained 71.5% of the variation of the original 17 variables. @entity11620 (explained 47.1%) was closely related to postprandial OGTT levels and FSIGT-derived @entity2690 sensitivity (r = 0.68), indicating that it mirrors @entity2690 sensitivity in the skeletal muscle. @entity13435 (explained 17.3%) and @entity11620 (explained 7.1%) were shown to be associated with b-cell failure and fasting (i.e., hepatic) @entity2690 resistance, respectively. All three components were related with diabetes progression (occurred in n = 25 females after GDM) and showed significant changes in long-term trajectories. A high amount of the postpartum OGTT data is explained by principal components, representing pathophysiological mechanisms on the pathway of impaired @entity1735 metabolism. Our results improve our understanding of the underlying biological processes to provide an accurate postgestational risk stratification.
