Multi-omic network-based interrogation of rat liver metabolism following gastric bypass surgery featuring SWATH proteomics

Author:

Sridharan Gautham Vivek1,D’Alessandro Matthew1,Bale Shyam Sundhar1,Bhagat Vicky2,Gagnon Hugo3,Asara John M.4,Uygun Korkut1,Yarmush Martin L.1,Saeidi Nima1

Affiliation:

1. Center for Engineering in Medicine, Harvard Medical School — Massachusetts General Hospital, 51 Blossom Street, Boston, MA 02114, USA

2. Warren Alpert Medical School of Brown University, 222 Richmond St., Providence, RI 02903, USA

3. Phenoswitch Bioscience, 3001 12e Avenue N, Sherbrooke, QC J1H 5N4, Canada

4. Beth Israel Deaconness Medical Center, 3 Blackfan Circle Rm 425, Boston, MA 02115, USA

Abstract

Morbidly obese patients often elect for Roux-en-Y gastric bypass (RYGB), a form of bariatric surgery that triggers a remarkable 30% reduction in excess body weight and reversal of insulin resistance for those who are type II diabetic. A more complete understanding of the underlying molecular mechanisms that drive the complex metabolic reprogramming post-RYGB could lead to innovative non-invasive therapeutics that mimic the beneficial effects of the surgery, namely weight loss, achievement of glycemic control, or reversal of non-alcoholic steatohepatitis (NASH). To facilitate these discoveries, we hereby demonstrate the first multi-omic interrogation of a rodent RYGB model to reveal tissue-specific pathway modules implicated in the control of body weight regulation and energy homeostasis. In this study, we focus on and evaluate liver metabolism three months following RYGB in rats using both SWATH proteomics, a burgeoning label free approach using high resolution mass spectrometry to quantify protein levels in biological samples, as well as MRM metabolomics. The SWATH analysis enabled the quantification of 1378 proteins in liver tissue extracts, of which we report the significant down-regulation of Thrsp and Acot13 in RYGB as putative targets of lipid metabolism for weight loss. Furthermore, we develop a computational graph-based metabolic network module detection algorithm for the discovery of non-canonical pathways, or sub-networks, enriched with significantly elevated or depleted metabolites and proteins in RYGB-treated rat livers. The analysis revealed a network connection between the depleted protein Baat and the depleted metabolite taurine, corroborating the clinical observation that taurine-conjugated bile acid levels are perturbed post-RYGB.

Publisher

World Scientific Pub Co Pte Lt

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