A novel measure of glucose homeostasis (or loss thereof) comprising the joint dynamics of glucose, insulin, glucagon, and cortisol

• Published in: American journal of physiology: endocrinology and metabolism Vol. 316; no. 6; pp. E998 - E1011
• Main Authors: Keenan, Daniel M., Veldhuis, Johannes D., Basu, Ananda, Basu, Rita
• Format: Journal Article
• Language: English
• Published: United States American Physiological Society 01.06.2019
• Series: Translational Physiology
• Subjects: Blood Glucose - metabolism; Case-Control Studies; Cortisol; Diabetes; Diabetes mellitus; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2 - metabolism; Disruption; Fasting; Glucagon; Glucagon - metabolism; Glucose; Homeostasis; Hormones; Humans; Hydrocortisone - metabolism; Insulin; Insulin - metabolism; Insulin Resistance; Insulin Secretion; Prediabetic State - metabolism; Secretion; deconvolution; secretion; diabetes; insulin resistance
• ISSN: 0193-1849; 1522-1555; 1522-1555
• DOI: 10.1152/ajpendo.00078.2018

Quantification of disturbances in glucose-insulin homeostasis has been the cornerstone of appraising insulin resistance and detecting early-stage diabetes. Metabolic homeostasis arises from feedback and feed-forward interactions among (at least) all four of glucose, insulin, glucagon, and cortisol. Quantifying such tetrapartite interactions in the fasting (endogenously regulated) state overnight could elucidate very early regulatory disruption. In the present study, healthy subjects without diabetes (ND; n = 20) and patients with Type 2 diabetes (T2D; n = 21) were investigated by repeated overnight blood sampling of all four of glucose, insulin, glucagon, and cortisol concentrations. To obviate confounding by hormone-specific disappearance rates, analyses were performed at the level of production (glucose) or secretion (insulin, glucagon, and cortisol) rates estimated by regularized deconvolution analysis. Then, a novel method for quantifying the loss of homeostasis among glucose, insulin, and glucagon (and, when available, cortisol) secretion patterns was developed. Potential early stage prediabetic candidates were identified. The new methodology avoids many of the difficulties encountered in the conventional estimation of insulin-glucose sensitivity or resistance, while incorporating the dynamics of the key coregulators under fasting conditions.