Researchers at ISB have developed personalized models to predict C. diff colonization risk and test targeted probiotics. This approach could prevent infection before it starts and paves the way for precision microbiome therapies tailored to individual gut ecosystems.
ISB scientists have developed a simple, low-cost method to measure the total amount of bacteria in the gut using existing sequencing data. This breakthrough could speed up microbiome research and unlock new insights into health and disease.
ISB’s Gibbons Lab developed a breakthrough method that analyzes food-derived DNA in fecal metagenomes, allowing for data-driven diet tracking without the need for burdensome questionnaires.
Everybody poops, but not every day. An ISB-led research team examined the clinical, lifestyle, and multi-omic data of more than 1,400 healthy adults. How often people poop, they found, can have a large influence on one’s physiology and health.
ISB researchers have developed a novel way to simulate personalized, microbiome-mediated responses to diet. They use a microbial community-scale metabolic modeling (MCMM) approach to predict individual-specific short-chain fatty acid production rates in response to different dietary, prebiotic, and probiotic inputs.
ISB researchers have shown which blood metabolites are associated with the gut microbiome, genetics, or the interplay between both. Their findings, published in the journal Nature Metabolism, have promising implications for guiding targeted therapies designed to alter the composition of the blood metabolome to improve human health.
ISB Assistant Professor Dr. Sean Gibbons talked about the science behind statins in our most recent Research Roundtable virtual presentation. His talk was titled “Bugs vs. Drugs: How Our Unique Gut Microbiomes Shape Our Personalized Responses to Statins.”
New ISB research shows that different patient responses to statins can be explained by the variation in the human microbiome. The findings were published in the journal Med, and suggest that microbiome monitoring could be used to help optimize personalized statin treatments.