Metabolomics is a powerful systems biology tool that is capable of simultaneously investigating multiple biological pathways, detecting and diagnosing a disease and evaluating the efficacy of a therapy at an early stage. Nuclear Magnetic Resonance (NMR) spectroscopy is one of the leading metabolomics tools. The use of NMR based metabolomics in gastrointestinal (GI) system research has successfully identified many biomarkers for GI diseases however, the host-gut microbiome interactions in energy homeostasis remains unclear. NMR spectroscopy is a useful tool to identify unique microbiome derived metabolites that are important for host-microbe and microbemicrobe interactions which might result in increased or decreased caloric uptake, and affect the hosts energy regulation . Here we propose to enhance the assessment of the role of human intestinal microbiota on the success or failure to weight lost following two common methods of bariatric surgery: the Roux-en-Y gastric bypass (RYGB) and the laparoscopic adjustable gastric band (LAGB). Using retrospective approaches, evaluation of the luminal gut microbiota in 60 patients after undergoing RYGB and LAGB procedures will be made. Using fecal extract samples prepared by ASU collaborators, we will focus on metabolite profile differences between individuals who demonstrate successful versus unsuccessful weight loss (defined in the proposal body) and these will be compared to 10 healthy subjects from a control group,providing crucial new NMR-based metabolomics data. Combining the NMR metabolomic data with biostatistics and bioinformatics, and utilizing this information to enhance the phylogenetic analysis, biochemical mechanistic studies, and mathematical modeling from the parent grant efforts with our ASU collaborators, will aid in discovery of novel metabolite biomarkers and the mechanistic understanding of the pathways involving host-microbe interactions. Such knowledge will be crucial in understanding factors influencing outcomes of bariatric surgical procedures, and enable the design of interventions to improve the success rates of these surgeries.
|Effective start/end date||4/1/11 → 3/31/17|
- HHS: National Institutes of Health (NIH): $1,922,185.00