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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.

MIT’s Center for Microbiome Informatics and Therapeutics recently featured Dr. Sean Gibbons in an alumni profile. Gibbons discussed his academic arc that started in Montana and led to his master’s studies (sponsored by a Fulbright Graduate Fellowship) at Uppsala University in Sweden, completing his PhD in biophysical sciences at the University of Chicago, and conducting his postdoc work in the lab of Eric Alm.

In ISB’s first-ever Research Roundtable event, Assistant Professor Dr. Sean Gibbons delivered a presentation titled “Gut-Check: Personalized Nutrition and Your Microbiome.” His talk covered a lot of ground, including recently published research showing how the health of our microbiomes can predict longevity, and how we can build and maintain a healthy gut microbiome. 

ISB’s research into the aging microbiome was featured in a story published by Anahad O’Connor for The New York Times titled “A Changing Gut Microbiome May Predict How Well You Age.” The research featured was published in Nature Metabolism by Drs. Tomasz Wilmanksi, Noa Rappaport, Sean Gibbons and Nathan Price.

ISB’s research into the aging microbiome was featured in a story published by Anahad O’Connor for The New York Times titled “A Changing Gut Microbiome May Predict How Well You Age.” The research featured was published in Nature Metabolism by Drs. Tomasz Wilmanksi, Noa Rappaport, Sean Gibbons and Nathan Price.

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.