Transition from 12 to near-24 hours glucose circadian rhythm on relaxation of a hyperglycemic condition

TL;DR

This study models blood glucose level changes using a composite function to detect transitions from ultradian to circadian rhythms following anti-diabetic treatment adjustments.

Contribution

It introduces a novel exponential relaxation model with a periodic component and uses genetic algorithms to identify rhythm transitions in blood glucose data.

Findings

Transition from 12-hour ultradian to near-24-hour circadian rhythm observed

Model effectively captures blood glucose relaxation dynamics

Potential for improved monitoring of diabetic treatment responses

Abstract

A composite, exponential relaxation function, modulated by a periodic component, was used to fit to an experimental time series of blood glucose levels. The 11 parameters function that allows for the detection of a possible rhythm transition was fitted to the experimental time series using a genetic algorithm. It has been found that the relaxation from a hyperglycemic condition following a change in the anti-diabetic treatment, can be characterized by a change from an initial 12 hours ultradian rhythm to a near-24 hours circadian rhythm.