<i>Lacticaseibacillus paracasei</i> 207-27 alters the microbiota-gut-brain axis to improve wearable device-measured sleep duration in healthy adults: a randomized, double-blind, placebo-controlled trial
Li et al.
The finding, in our words
Probiotic supplementation improved wearable-measured sleep duration in healthy adults, demonstrating that continuous digital sleep metrics can detect clinically meaningful changes from gut microbiota interventions. The trial showed concurrent shifts in stool microbiome composition, short-chain fatty acids and cortisol, linking gut-brain axis modulation to objective sleep outcomes.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
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 ↗
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.
In 118 middle-aged volunteers, decreased REM sleep duration was independently associated with worse glucose variability, particularly among those with obesity. Specific gut microbiota species from the Christensenellaceae and Enterobacteriaceae families correlated with both REM sleep duration and continuous glucose values, suggesting an integrated relationship between sleep, glucose metabolism and gut microbiota in metabolic health.
Arnoriaga-Rodríguez et al., The Journal of clinical endocrinology and metabolism (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 ↗
This review establishes that microsampling across blood, saliva, urine and stool matrices offers validated workflows and regulatory recognition for human biomonitoring comparable to conventional methods. It finds that these decentralised approaches enhance participant acceptability and enable screening in remote or low-resource settings.