UNASSIGNED: Advancing @entity6 care requires accurate physiologic assessments. @entity1717 clamps with stable isotope tracers can simultaneously measure @entity2690 's ability to suppress lipolysis and hepatic @entity413 release. Traditionally, these methods require an assessment of basal @entity413 and @entity653 rate of appearance (Ra). Basal Ra is challenging to measure in @entity2690 -dependent @entity6 , where exogenous @entity2690 required to maintain normoglycemia can raise peripheral @entity2690 concentrations sufficiently to suppress basal Ra. We thus identified two alternative statistical approaches to describe changes in @entity413 and @entity653 Ra that are less reliant on basal assessments. Sixteen youth (4 type 1 @entity6 , 4 type 2 @entity6 , 4 lean controls, 4 @entity28 nondiabetic), underwent a 4-phase ("basal", 10, 16, 80 mU/m(2)   min) hyperinsulinemic euglycemic clamp with @entity413 and @entity653 tracers. @entity413 and @entity653 Ra were calculated per phase. A statistical method, the standard two-stage (STS) algorithm, was applied to the individual log @entity2690 vs. Ra curves to calculate a single predicted Ra value. A population-based @entity3628 ( @entity3628 ) compared the group average Ra vs. log @entity2690 curves and described individual deviations from group means, and was used to calculate individual predicted Ra. Both models were applied to the @entity1 data and predicted Ra's at the mean @entity2690 concentration per phase (10 for @entity653 ,16 for @entity413 ) were calculated, with good agreement between observed and predicted values. In our dataset, the @entity3628 was better able to detect group differences. Both STS and @entity3628 can model lipolysis and endogenous @entity413 release in @entity2690 -dependent states when basal Ra cannot be accurately measured.

Modeling changes in XXXX and @entity653 rates of appearance when true basal rates of appearance cannot readily be determined.

@entity1 :: ('9606', 'Species') :: ['participant'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity28 :: ('MESH:D009765', 'Disease') :: ['obese'] @entity2690 :: ('3630', 'Gene') :: ['insulin'] @entity653 :: ('MESH:D005990', 'Chemical') :: ['glycerol'] @entity3628 :: ('MESH:D004195', 'Disease') :: ['MEM', 'mixed-effects model'] @entity1717 :: ('MESH:D044903', 'Disease') :: ['Hyperinsulinemic'] @entity413 :: ('MESH:D005947', 'Chemical') :: ['glucose', 'Glucose']
@entity413 :: (MESH:D005947,Chemical) :: ['glucose']
