LAURENTI, MARCELLO C.

AbstractBackgroundNutrient‐mediated release of cholecystokinin and glucagon‐like peptide‐1 (GLP‐1) regulates gastric emptying (GE) via duodenogastric feedback mechanisms; GLP‐1 also regulates postprandial insulin secretion. Some patients with functional upper gastrointestinal symptoms have impaired glucose tolerance during enteral dextrose infusion. Our hypothesis was that variants in CCK, GLP‐1, and TCF7L2 (transcription factor 7‐like 2 locus), which is associated with greatest genetic risk for development of type 2 diabetes mellitus, are associated with GE and independently with glucose tolerance. Our aims were to evaluate the associations between these GE, glucose tolerance, and these single nucleotide polymorphisms (SNPs).MethodsGenetic variants, scintigraphic GE of solids, plasma glucose, insulin, and GLP‐1 during enteral dextrose infusion (75gm over 2 hours) were measured. GE and enteral dextrose infusion were, respectively, evaluated in 44 (27 controls and 17 patients with functional dyspepsia or nausea) and 42 (28 controls, 14 patients) participants; of these, 51 participants consented to assessment of SNPs. Four functional SNPs were studied: rs6923761 and rs1042044 at GLP‐1 receptor, rs7903146 (TCF7L2), and rs1800857 (CCK receptor).Key ResultsGastric emptying was normal in 38, rapid in 4, and delayed in two participants; 38 had normal, and four had impaired glucose tolerance. The T allele at rs7903146 (TCF7L2) was non‐significantly associated (P = .14) with faster GE. The associations between SNPs and demographic variables, GE thalf, glucose tolerance and plasma GLP1 levels were not significant.Conclusions & InferencesThere is a trend toward an association between faster GE and the diabetes‐associated allele at rs7903146 in TCF7L2. However, these SNPs were not associated with plasma glucose or GLP1 concentrations during enteral dextrose infusion.

The characteristics of pulsatile insulin secretion are important determinants of type 2 diabetes pathophysiology, but they are understudied due to the difficulties in measuring pulsatile insulin secretion noninvasively. Deconvolution of either peripheral C-peptide or insulin concentrations offers an appealing alternative to hepatic vein catheterization. However, to do so, there are a series of methodological challenges to overcome. C-peptide has a relatively long half-life and accumulates in the circulation. On the other hand, peripheral insulin concentrations reflect relatively fast clearance and hepatic extraction as it leaves the portal circulation to enter the systemic circulation. We propose a method based on nonparametric stochastic deconvolution of C-peptide concentrations, using individually determined C-peptide kinetics, to overcome these limitations. The use of C-peptide (instead of insulin) concentrations allows estimation of portal (and not post-hepatic) insulin pulses, whereas nonparametric stochastic deconvolution allows evaluation of pulsatile signals without any a priori assumptions of pulse shape and occurrence. The only assumption required is the degree of smoothness of the (unknown) secretion rate. We tested this method first on simulated data and then on 29 nondiabetic subjects studied during euglycemia and hyperglycemia and compared our estimates with the profiles obtained from hepatic vein insulin concentrations. This method produced satisfactory results both in the ability to fit the data and in providing reliable estimates of pulsatile secretion, in agreement with hepatic vein measurements. In conclusion, the proposed method enables reliable and noninvasive measurement of pulsatile insulin secretion. Future studies will be needed to validate this method in people with type 2 diabetes.

Aims To compare the performance of population‐based kinetics with that of directly measured C‐peptide kinetics when used to calculate β‐cell responsivity indices, and to study people with and without acute insulin resistance to ensure that population‐based kinetics apply to all conditions where β‐cell function is measured. Methods Somatostatin was used to inhibit endogenous insulin secretion in 56 people without diabetes. Subsequently, a C‐peptide bolus was administered and the changing concentrations were used to calculate individual kinetic measures of C‐peptide clearance. In addition, the participants were studied on 2 occasions in random order using an oral glucose tolerance test (OGTT). On one occasion, free fatty acid elevation, to cause insulin resistance, was achieved by infusion of Intralipid + heparin. The Disposition Index (DI) was then estimated by the oral minimal model using either population‐based or individual C‐peptide kinetics. Results There were marked differences in the exchange variables ( k 12 and k 21 ) of the model describing C‐peptide kinetics, but smaller differences in the fractional clearance; that is, the irreversible loss from the accessible compartment ( k 01 ), obtained from population‐based estimates compared with experimental measurement. Because it is predominantly influenced by k 01 , DI estimated using individual kinetics correlated well with DI estimated using population‐based kinetics. Conclusions These data support the use of population‐based measures of C‐peptide kinetics to estimate β‐cell function during an OGTT.