Menopause is associated with postprandial metabolism, metabolic health and lifestyle: The ZOE PREDICT study
Bermingham et al.
The finding, in our words
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.
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 Guangzhou Nutrition and Health Study integrates 14-day real-time continuous glucose monitoring with multi-omics data, including serum and faecal metabolomes, proteomes, and gut microbiome sequencing, to explore biomarkers and mechanisms of metabolic disease.
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 ↗
Microsampling enables less invasive, patient-centric self-collection of capillary blood for remote monitoring of metabolites and lipids, overcoming conventional venipuncture constraints. Recent device innovations address dried blood spot limitations, particularly haematocrit and volume variations, expanding decentralised applications in population health, drug discovery and multi-omics research.
The study demonstrates that frequent collection of 10 microlitres of capillary blood, combined with wearable sensor data, enables simultaneous measurement of thousands of metabolites, lipids, cytokines and proteins, revealing individualised metabolic and inflammatory responses to dietary interventions and molecular fluctuations linked to intra-day changes in heart rate, glucose, cortisol and physical activity, supporting dynamic health profiling outside the clinic.
Shen et al., Nature biomedical engineering · source ↗