CGMacros: a pilot scientific dataset for personalized nutrition and diet monitoring
Das et al.
The finding, in our words
The paper presents CGMacros, a publicly available dataset combining continuous glucose monitoring, activity tracking, food macronutrient data, blood analyses and gut microbiome profiles from 45 participants across healthy, pre-diabetic and type 2 diabetes groups over ten days of free-living monitoring. This multimodal dataset enables research into personalised nutrition and automated diet monitoring by linking glycaemic responses with dietary intake and physiological signals in a decentralised setting.
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 ↗
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 ↗
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.
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 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.