Endocrine Abstracts

Rhythms and change are fundamental properties of all living things, having evolved to allow adaptation to life on earth. Rhythmicity can be observed both in behaviour and internal biology of all mammals including humans. Hormonal secretion patterns that occur at circadian and or ultradian frequencies occur commonly in the endocrine system but for practical and pragmatic reasons clinicians tend to sample and attempt to interpret single time point measures. These results can often be difficult to interpret. In this presentation I will demonstrate sophisticated sampling and measurement techniques that permit blood free and high-resolution measurement of hormone and metabolism in real world contexts. I will present ambulatory dynamic profiles of 7 corticosteroids from n =214 volunteers. I will demonstrate how mathematical and machine learning techniques can be used to extract and interpret important features from these dynamic profiles and how this information could be used to improve diagnosis and management, providing specific examples of Cushing’s, primary aldosteronism, and primary adrenal insufficiency. I will also show pilot experimental methods that allow simultaneous ambulatory profiling of melatonin, glucocorticoids, catecholamines and metanephrines. Finally I will show data from n =11 healthy participants demonstrating the integration of passive wearable devices that contextualise biological data, and how, taken together, this could represent the future of personalised endocrinology.