The Impact of Microbial Composition on Postprandial Glycaemia and Lipidaemia: A Systematic Review of Current Evidence
Wilson et al.
The finding, in our words
This systematic review found that individual gut microbiome composition significantly influences postprandial glycaemic and lipidaemic responses in adults, with specific bacterial phyla predicting glycaemic variation. The findings support personalised nutrition strategies based on stool-based microbial analysis, highlighting potential for decentralised testing to improve cardiometabolic health outcomes.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
Self-collected oral and stool samples revealed distinct microbiome compositions in patients with endometriosis compared to controls, with Fusobacterium enrichment specifically observed in oral samples from moderate to severe cases. These results support the feasibility of decentralised self-collection for non-invasive biomarker screening in reproductive health.
Hicks et al., BJOG : an international journal of obstetrics and gynaecology · source ↗
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 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 ↗
A study limited by sample size found OMNIgene GUT tubes preserved Cryptosporidium DNA better than DNA Shield and FTA cards after year-long ambient storage. qPCR detected DNA in 23/24 OMNIgene, 21/24 DNA Shield, and 17/20 FTA samples, while metagenomics detected it in 13/24, 9/24, and 0/24 samples respectively, guiding decentralised sampling choices.
Halford et al., BMJ military health (paywalled) · source ↗
Analysis of self-collected stool samples from 309 participants demonstrated that proton pump inhibitor use is significantly associated with an enrichment of Streptococcus species in the gut. This confirms the suitability of decentralised self-sampling for conducting large-scale metagenomic analyses in population studies.
Dinesh et al., Pharmacology research & perspectives · source ↗