AI Insight
The TIME Study is a longitudinal observational protocol designed to capture high-frequency, multimodal biological data in healthy adults aged 55 and older over an 11-week period, with follow-up at 6 and 12 months. The study integrates molecular, physiological, and digital health measurements to characterize temporal patterns such as circadian and ultradian rhythms, and examines how biological systems respond to standardized perturbations including oral glucose tolerance tests and maximal exercise challenges. Rather than reporting findings, this article describes the study design and methodology, meaning no results are yet available.
Why it matters
Most aging studies rely on infrequent measurements that miss the dynamic fluctuations inherent to biological systems, and this protocol addresses that gap by building a foundational dataset that could inform precision health strategies tailored to older adults. A better understanding of biological rhythms in aging may eventually help identify early markers of disease risk and resilience.
⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
Abstract Background: Biological systems exhibit dynamic patterns over multiple temporal scales -from minutes to months- that are poorly captured by conventional cross-sectional or low-frequency longitudinal studies. These patterns, including circadian and ultradian rhythms, may be critical determinants of health, resilience, and disease risk in aging. Existing longitudinal studies in older adults lack high-frequency, multimodal measurements that integrate molecular, physiological, and digital health data streams. Objectives: The TIME Study aims to: (i) Characterize temporal patterns in molecular, physiological, and digital health measures in healthy older adults; (ii) determine how these patterns vary across biological domains and relate to each other; and (iii) assess how physiological systems respond to defined perturbations (oral glucose tolerance and maximal exercise). Methods: TIME is a single-site, observational, longitudinal study enrolling up to 150 adults aged [≥] 55 years. Over an 11-week main phase, participants complete seven weekly low-frequency visits, two perturbation challenge visits, and two, two-day high-frequency sampling epochs. Biospecimens, clinical measures, cognitive and physical performance tests, and continuous digital health data are collected. Follow-up visits occur at 6 and 12 months. Expected Impact: By integrating multimodal, temporally resolved data, TIME will provide a foundational dataset for understanding the role of biological rhythms in aging and inform future precision health strategies.