Impact of nocturnal hypoxia on glycaemic control, appetite, gut microbiota and inflammation in adults with type 2 diabetes mellitus: A single-blind cross-over trial
Shepherd et al.
The finding, in our words
Ten nights of overnight moderate hypoxic exposure did not significantly change glycaemic control, gut microbiome, appetite or inflammation in adults with type 2 diabetes, though there were trends towards improved insulin sensitivity and reduced gut microbiota alpha diversity with medium effect sizes.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
Continuous glucose monitoring of 55 participants showed considerable interindividual variation in postprandial glycaemic responses to carbohydrate meals, with rice producing the highest overall responses. Potato-spikers were more insulin resistant with lower beta cell function, grape-spikers were more insulin sensitive, and mitigators were less effective in insulin-resistant individuals. Multi-omics profiling revealed signatures linking glycaemic responses to triglycerides, metabolites and microbiome pathways.
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 ↗
A scoping review of 52 studies found most were high-quality RCTs using CGM, metabolomics and microbiome analysis in endurance athletes, yet evidence linking these biomarkers to performance, recovery or long-term health remains insufficient. This gap between biomarker discovery and clinical validation must be closed before these decentralised tools can guide precision nutrition.
Post-menopausal women showed higher fasting glucose, HbA1c and inflammation, along with poorer glycaemic variability and time in range, compared to pre-menopausal women. These findings highlight the value of continuous glucose monitoring in decentralised diagnostics for identifying metabolic risks in mid-life women.
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 ↗