Evidence map›Paper›PMID 29780857›Full record

ArticleTechnology2017

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

Gautham Vivek Sridharan, Matthew D'Alessandro, Shyam Sundhar Bale, Vicky Bhagat, Hugo Gagnon, John M Asara, Korkut Uygun, Martin L Yarmush, Nima Saeidi

Open access · hybridAbstract read
In one paragraph

Article in Technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Gautham Vivek SridharanCenter for Engineering in Medicine, Harvard Medical School - Massachusetts General Hospital, 51 Blossom Street, Boston, MA 02114, USA.
Matthew D'AlessandroCenter for Engineering in Medicine, Harvard Medical School - Massachusetts General Hospital, 51 Blossom Street, Boston, MA 02114, USA.
Shyam Sundhar BaleCenter for Engineering in Medicine, Harvard Medical School - Massachusetts General Hospital, 51 Blossom Street, Boston, MA 02114, USA.
Vicky BhagatWarren Alpert Medical School of Brown University, 222 Richmond St., Providence, RI 02903, USA.
Hugo GagnonPhenoswitch Bioscience, 3001 12e Avenue N, Sherbrooke, QC J1H 5N4, Canada.
John M AsaraBeth Israel Deaconness Medical Center, 3 Blackfan Circle Rm 425, Boston, MA 02115, USA.
Korkut UygunCenter for Engineering in Medicine, Harvard Medical School - Massachusetts General Hospital, 51 Blossom Street, Boston, MA 02114, USA.
Martin L YarmushCenter for Engineering in Medicine, Harvard Medical School - Massachusetts General Hospital, 51 Blossom Street, Boston, MA 02114, USA.
Nima SaeidiCenter for Engineering in Medicine, Harvard Medical School - Massachusetts General Hospital, 51 Blossom Street, Boston, MA 02114, USA.
Harvard University · USMassachusetts General Hospital · USAptose Biosciences (Canada) · CABeth Israel Deaconess Medical Center · USBrown University · US

Funding

Gastrointestinal Weight Loss Surgery Regulates Glucose Metabolism via Intestinal Metabolic RemodelingK01DK103947 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI SAEIDI, NIMA · 2015 to 2017
$480k
The Role of Adipose Tissue Remodeling in Surgically-Induced Weight LossF32DK095558 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI SAEIDI, NIMA · 2012 to 2014
$163k
NIDDK NIH HHS F32 DK095558NIDDK NIH HHS K01 DK103947
6 · The paper itself

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.

Indexed as

Gastric BypassMetabolomicsObesityRoux-en-YSWATH Proteomics

Identifiers

PMID29780857
PMCPMC5956888
OpenAlexW2756663431

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.