ISB News

ISB Associate Professor Dr. Sean Gibbons

Dr. Sean Gibbons Promoted to Associate Professor

Dr. Sean Gibbons – an expert in microbial ecology and evolution, computational systems biology, the human gut microbiome and its impacts on health, and head of ISB’s Gibbons Lab – has been promoted to Associate Professor. “Sean’s achievements since joining ISB in 2018 as a Washington Research Foundation Distinguished Investigator have been spectacular,” ISB President Dr. Jim Heath said. “With his focus on the microbiome, he brought a whole new…

The Gut Microbiome’s Supersized Role In Shaping Our Metabolome

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.

Bugs vs. Drugs: How Our Microbiomes Can Explain Our Response to Statins

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.”

Microbiome and weight loss

Can You Lose Weight? Ask Your Microbiome

The strongest associations with weight loss success or failure – independent of BMI – are found in the genetic capacity of the gut microbiome. These new findings open the door to diagnostic tests that can identify people likely to lose weight with healthy lifestyle changes and those who might need more drastic interventions.

The Aging Microbiome

Gut Microbiome Implicated in Healthy Aging and Longevity

The gut microbiome is an integral component of the body, but its importance in the human aging process is unclear. ISB researchers and their collaborators have identified distinct signatures in the gut microbiome that are associated with either healthy or unhealthy aging trajectories, which in turn predict survival in a population of older individuals.