Personalized prediction of glycemic responses to food in women with diet-treated gestational diabetes: the role of the gut microbiota
Popova et al.
The finding, in our words
In pregnant women with diet-treated gestational diabetes and healthy controls, incorporating gut microbiome features alongside continuous glucose monitoring, diet, and clinical variables improved the prediction of postprandial glycaemic responses over carbohydrate counting alone, though the incremental contribution of the microbiota was modest.
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 ↗
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.
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 n-of-1 dietary trials, a personal gut microbial carb-sensitivity score derived from stool metagenomics correlated with glycaemic phenotypes during high-carbohydrate but not low-carbohydrate intake, and this association was validated in an independent cohort, supporting precision nutrition approaches that integrate stool microbiome signatures with continuous glucose monitoring for individualised dietary advice.