Summary of Study ST001249

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000836. The data can be accessed directly via it's Project DOI: 10.21228/M8MQ2G This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST001249
Study TitleBiliary diversion fecal extractions
Study SummaryStool samples are acquired from mice models after biliary diversion surgery. Metabolite extractions are then performed on the stool samples and run through an optimized RPLC-IM-MS method.
Institute
Vanderbilt University
DepartmentChemistry
LaboratoryJohn A. McLean Research Group
Last NamePoland
First NameJames
Address2301 Vanderbilt Place
Emailj.c.poland@vanderbilt.edu
Phone6153434564
Submit Date2019-09-10
Num Groups3
Total Subjects15
Raw Data AvailableYes
Raw Data File Type(s)raw(Waters)
Analysis Type DetailLC-MS
Release Date2019-10-11
Release Version1
James Poland James Poland
https://dx.doi.org/10.21228/M8MQ2G
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR000836
Project DOI:doi: 10.21228/M8MQ2G
Project Title:Untargeted metabolomics after biliary diversion surgery
Project Summary:Obesity and diabetes are worldwide problems, and treatment and control are proving more difficult and expensive. Bariatric surgery is the primary method for treating these disorders. An alternative procedure, bile diversion, dysregulates the circulation of bile acids in order to minimize fatty acid absorption. It is recognized that bile acids are involved in multiple signaling cascades, however the downstream effects of their malabsorption are yet unknown. In order to investigate the effects this will have on the metabolome, an untargeted liquid chromatography-ion mobility-mass spectrometry (LC-IM-MS) method was developed and optimized. We describe a fecal metabolite extraction method for separating species in multiple dimensions, comparing relative abundances across groups, and annotating compounds when possible. Utilizing our untargeted metabolomic pipeline, we were able to detect molecules with perturbed abundance values, including secondary bile acids, which contribute to differences between the experimental metabolomic profiles.
Institute:Vanderbilt University
Laboratory:John A. McLean Research Group
Last Name:Poland
First Name:James
Address:2301 Vanderbilt Place
Email:j.c.poland@vanderbilt.edu
Phone:6153434564
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