Effects of kefir on symptoms, sleep, and gut microbiota in children with ADHD: a randomised controlled trial
Lawrence et al.
The finding, in our words
In a six-week trial of 53 children with ADHD, kefir supplementation did not significantly improve ADHD symptoms overall but was associated with modest improvements in actigraphy-measured sleep quality, specifically fewer minutes awake during the night. However, children self-reported more sleep problems after the intervention. Stool microbiome analysis revealed increased abundance of several bifidobacterium species, demonstrating how decentralised microsampling and wearable monitoring can generate clinical evidence in paediatric neurodevelopmental disorders.
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.
In a Brazilian birth cohort, longer sleep duration and higher sleep efficiency at age 11 were associated with higher gut microbial alpha-diversity and lower Bacteroidetes abundance at age 12, suggesting sleep influences gut microbiota composition in adolescence.
Carpena et al., Sleep medicine (paywalled) · source ↗
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.
The High-Definition Oncology feasibility study in 30 women with metastatic cancer demonstrated high adherence to biospecimen collection (97.4% plasma, 80.7% stool) and wearable monitoring (70–95% of days captured for activity, heart rate, sleep, and oxygen saturation). This establishes a viable framework for decentralised, multimodal data collection in oncology to support individualised treatment models.
Garma et al., JCO precision oncology (paywalled) · source ↗
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 ↗