An optimized method is described for the mass fragmentographic determination of uniformly labelled (13C)glucose in human plasma using a butylboronic acid acetate derivative, and capillary gas chromatography. The advantages of the method are the ease and speed of the derivatization procedure, the small sample size, high precision (interassay coefficient of variation 5.7%), and applicability of a relatively low-cost mass spectrometer. This method allows glucose tracer experiments to be performed in man using the bolus injection technique, necessitating analysis of many samples. The results on glucose turnover obtained in a clinical experiment were in full agreement with previously published data.
This study investigated the ability of two models to represent glucose kinetics in the basal steady state and during an intravenous glucose tolerance test (IVGTT). Six young nonobese male subjects were studied after an overnight fast. Two bolus injections of [U-13C]glucose were given 150 min apart, the first without and the second together with concomitant injection of unlabeled glucose. [3-3H]glucose was constantly infused throughout the study and served to provide an independent means for evaluation of system responses. A linear time-invariant three-compartmental model and the two-compartment time-variant model proposed by Caumo and Cobelli were used to interpret measured time courses of [U-13C]glucose and to reconstruct endogenous glucose production and glucose removal. The ability of the two models to describe the glucose tracer time course was comparable. Simulation studies showed that the two-compartmental time-variant system better predicted measured [3-3H]glucose concentration profiles than did the three-compartmental time-invariant model. However, endogenous glucose production and the integral of excess glucose removal over basal during the IVGTT derived from the two models were almost identical.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.