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.
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.
Christian Diener will join the Institute for Systems Biology as the Washington Research Foundation Distinguished Postdoctoral Fellow in the Gibbons Lab. Christian is a computational biologist who has worked extensively on yeast systems biology and has recently moved into studying the human microbiome. He completed his PhD in systems biology at the Max Plank Institute for Molecular Genetics and is currently working at the National Institute for Genome Medicine in…
