The effect of morning vs evening exercise training on glycaemic control and serum metabolites in overweight/obese men: a randomised trial
Moholdt et al.
The finding, in our words
In overweight/obese men on a high-fat diet, five days of evening exercise training lowered nocturnal glucose compared with the high-fat diet alone and partially reversed diet induced changes in serum metabolites, whereas morning exercise did not show these glycaemic or metabolomic benefits.
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.
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 ↗
In adults with type 1 diabetes, Dexcom G7 and FreeStyle Libre 3 showed high accuracy during physical activity, whereas the Simplera system was less accurate; this matters for selecting devices in decentralised monitoring.
Sanfilippo et al., Diabetes, obesity & metabolism · source ↗