ISB Associate Professor Dr. Sean Gibbons was named a Highly Cited Researcher for 2023. It is the second consecutive year Gibbons has earned the distinction. The Highly Cited Research list is generated annually by Clarivate, which says: “Of the world’s population of scientists and social scientists, Highly Cited Researchers are 1 in 1,000.”
ISB researchers have constructed biological body mass index (BMI) measures that offer a more accurate representation of metabolic health and are more varied, informative and actionable than the traditional, long-used BMI equation. The work was published in the journal Nature Medicine.
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.
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.
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 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.
ISB researchers examined the associations between the gut microbiomes of about 3,400 people and roughly 150 host characteristics. The team looked at diet, medication use, clinical blood markers, and other lifestyle and clinical factors, and found evidence that variations of the gut microbiome are associated with health and disease.
A promising new open-source metabolic modeling tool provides microbiome researchers a path forward in predicting ecosystem function from community structure. News of the software package, called MICOM, was developed in part by researchers in ISB’s Gibbons Lab, and its uses were published in the journal mSystems.
Predicting the alpha diversity of an individual’s gut microbiome is possible by examining metabolites in the blood. The robust relationship between host metabolome and gut microbiome diversity opens the door for a fast, cheap and reliable blood test to identify individuals with low gut diversity.
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