Dataset Information

FGF19 as a Surgical Factor Contributing to the Metabolic Effects of Gastric Bypass Surgery

ABSTRACT: Gastric bypass surgery has proven to be the most effective treatment in controlling hyperglycemia in severely obese patients with diabetes. Here we show that FGF19, a gut hormone, is rapidly induced by bypass surgery in rodents and humans. Administration of FGF19 achieves remission of diabetes through mechanisms beyond weight loss in animal models of diabetes, supporting a role of FGF19 as part of hormonal changes that influence metabolism following surgery. Through an unbiased phenotypic screen in diabetic mice, we identified selective, safe and effective FGF19 analogues. Unexpectedly, FGF19 analogue failed to correct hyperglycemia in patients with type 2 diabetes. In contrast, administration of FGF19 analogue resulted in rapid, robust and sustained improvement in liver fat content and histology in patients with non-alcoholic steatohepatitis, faithfully replicating effect of the surgery. Thus, our work identifies a strategy of replacing gastric bypass surgery by equally effective, but less invasive, treatment for non-alcoholic steatohepatitis. We used microarrays to detail the global programme of gene expression affected by gastric bypass surgery in rats.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE120530 | GEO | 2021/09/25

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Bariatric surgery is currently one of the most effective treatments for obesity and leads to significant weight reduction, improved cardiovascular risk factors and overall survival in treated patients. To date, most studies focused on short-term effects of bariatric surgery on the metabolic profile and found high variation in the individual responses to surgery. The aim of this study was to identify relevant metabolic changes not only shortly after bariatric surgery (Roux-en-Y gastric bypass) but also up to one year after the intervention by using untargeted metabolomics. 132 serum samples taken from 44 patients before surgery, after hospital discharge (1–3 weeks after surgery) and at a 1-year follow-up during a prospective study (NCT01271062) performed at two study centers (Austria and Switzerland). The samples included 24 patients with type 2 diabetes at baseline, thereof 9 with diabetes remission after one year. The samples were analyzed by using liquid chromatography coupled to high resolution mass spectrometry (LC-HRMS, HILIC-QExactive). Raw data was processed with XCMS and drift-corrected through quantile regression based on quality controls. 177 relevant metabolic features were selected through Random Forests and univariate testing and 36 metabolites were identified. Identified metabolites included trimethylamine-N-oxide, alanine, phenylalanine and indoxyl-sulfate which are known markers for cardiovascular risk. In addition we found a significant decrease in alanine after one year in the group of patients with diabetes remission relative to non-remission. Our analysis highlights the importance of assessing multiple points in time in subjects undergoing bariatric surgery to enable the identification of biomarkers for treatment response, cardiovascular benefit and diabetes remission. Key-findings include different trend pattern over time for various metabolites and demonstrated that short term changes should not necessarily be used to identify important long term effects of bariatric surgery.

Dataset Information

FGF19 as a Surgical Factor Contributing to the Metabolic Effects of Gastric Bypass Surgery

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets