Associations of self-reported and actigraphic sleep with gut microbiome composition and diversity among older adults
Tilves et al.
The finding, in our words
Self-reported insomnia and excessive sleepiness were associated with depletion of Eubacterium sp. CAG:251, whereas higher actigraphy-measured sleep efficiency increased its prevalence and longer wake after sleep onset reduced it. These findings suggest that subjective and objective sleep disturbances converge on specific gut microbes, supporting the use of stool sampling and wearable actigraphy in decentralised diagnostics.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
In a one-week virtual home clinic with 134 participants, 86 per cent returned saliva and 84 per cent returned stool, and most components were feasible and acceptable despite device and logistical challenges. This supports decentralised, patient-centric self-collection of non-blood biospecimens for research.
The Human Phenotype Project enrolled 28,000 participants in a deep-phenotyping cohort that combines blood and microbiome sampling with continuous glucose and sleep monitoring. An AI model trained on dietary and glucose data predicted disease onset more accurately than existing methods, showing how integrating continuous digital signals with multi-omic data can support personalised risk assessment for decentralised diagnostics.
Reicher et al., Nature medicine (paywalled) · source ↗
The 10K longitudinal prospective cohort pairs deep multi-omic molecular profiling, including metabolomics, gut and oral microbiomes, and blood profiling, with two-week continuous glucose monitoring and home sleep apnea tracking. This broad dataset establishes baseline multimodal infrastructure to develop predictive models for disease progression across 10,000 individuals over 25 years of follow-up.
Shilo et al., European journal of epidemiology (paywalled) · source ↗
In adults with prediabetes and obesity, gut microbiome diversity correlated with body composition but not with continuous glucose monitoring-derived glycaemic variability. Dietary composition showed the strongest microbiome associations, suggesting that microbiome-informed nutrition strategies may be more relevant than glycaemic-driven approaches in this population.
This study of nearly 9000 individuals identified 145 bacterial pathways and over 87,000 gene families significantly associated with metabolic health measures derived from continuous glucose monitoring and imaging. The results highlight specific microbial functions, such as purine ribonucleosides degradation, that correlate with host metabolism and suggest potential targets for microbiome-based interventions.