Entelos, Inc.

Kevin Hall

Scott Siler

Jeff Trimmer

Paul Brazhnik

David Polidori

Dave Polidori

Apparatus and methods for assessing metabolic substrate utilization are described. In one embodiment, a processor-readable medium includes code to receive data indicative of a plasma glucose concentration, a plasma free fatty acid concentration, and a respiratory quotient of a subject. The processor-readable medium also includes code to calculate, based on the data, respective values of a set of metabolic parameters. The set of metabolic parameters includes a first metabolic parameter and a second metabolic parameter. The value of the first metabolic parameter is indicative of whether the subject has a predisposition towards oxidation of a first type of metabolic substrate or a second type of metabolic substrate, and the value of the second metabolic parameter is indicative of the subject's responsiveness to a change in availability of the first type of metabolic substrate or the second type of metabolic substrate.

Apparatus and methods for assessing metabolic substrate utilization

The present invention relates generally to a mathematical and computer model of diabetes related disorders (e.g., human type 2 diabetes) within the framework of multiple macronutrient metabolism. The model includes a representation of complex physiological control mechanisms directing, for example, fat metabolism, protein metabolism and/or carbohydrate metabolism. In one embodiment, for example, the model can account for the interconversion between macronutrients, as well as their digestion, absorption, storage, mobilization, and adaptive utilization, as well as the endocrine control of these processes. In this embodiment, the model can simulate, for example, a heterogeneous group of diabetes related disorders, from insulin resistant to severe diabetic, and can predict the likely effects of therapeutic interventions.

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Columbia, MD, United States of America

Kevin Hall