Summary of Study ST000189

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 PR000160. The data can be accessed directly via it's Project DOI: 10.21228/M8JG6Z This work is supported by NIH grant, U2C- DK119886.

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Study IDST000189
Study TitleHirschprung Enterocolitis SCFA
Study TypeShort-chain fatty acid analysis
Study SummaryChildren with Hirschsprung disease (HD) who have a history of enterocolitis (HAEC) have a shift in colonic microbiota, many of which are necessary for short chain fatty acid (SCFA) production. As SCFAs play a critical role in colonic mucosal preservation, we hypothesized that fecal SCFA composition is altered in children with HAEC. Patients between age of 6 weeks and 16 years of age who were undergoing small bowel resection were selected, including those who were either receiving enteral nutrition preoperatively (control group), or those who were without enteral nutrition and receiving total parenteral nutrition (TPN group). At the time of operation, 100-500ยตl of effluent from the small bowel lumen was aspirated during the small bowel resection. The samples were immediately frozen in liquid nitrogen and stored at -80oC. Research is published: http://www.sciencedirect.com/science/article/pii/S0022346815006211
Institute
University of Michigan
DepartmentBiomedical Research Core Facilities
LaboratoryMetabolomics core
Last NameKachman
First NameMaureen
Address6300 Brehm Tower, 1000 Wall Street, Ann Arbor, MI 48105-5714
Email mkachman@umich.edu
Submit Date2015-06-08
Num Groups1
Total Subjects20
Raw Data AvailableYes
Raw Data File Type(s)d
Uploaded File Size32 M
Analysis Type DetailGC-MS
Release Date2016-06-18
Release Version1
Maureen Kachman Maureen Kachman
https://dx.doi.org/10.21228/M8JG6Z
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR000160
Project DOI:doi: 10.21228/M8JG6Z
Project Title:Hirschprung Associated Enterocolitis Studies
Project Summary:Assess for correlations between SCFA content and history of HAEC
Institute:University of Michigan
Department:Surgery
Laboratory:Teitelbaum Lab
Last Name:Teitelbaum
First Name:Daniel
Address:Ann Arbor, MI
Email:dttbm@umich.edu
Phone:734-936-8464

Subject:

Subject ID:SU000208
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Species Group:Human

Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id Human Stool
SA009629S00015499Human Stool
SA009630S00015498Human Stool
SA009631S00015497Human Stool
SA009632S00015496Human Stool
SA009633S00015500Human Stool
SA009634S00015501Human Stool
SA009635S00015504Human Stool
SA009636S00015503Human Stool
SA009637S00015502Human Stool
SA009638S00015495Human Stool
SA009639S00015494Human Stool
SA009640S00015488Human Stool
SA009641S00015487Human Stool
SA009642S00015486Human Stool
SA009643S00015489Human Stool
SA009644S00015490Human Stool
SA009645S00015493Human Stool
SA009646S00015492Human Stool
SA009647S00015491Human Stool
SA009648S00015485Human Stool
Showing results 1 to 20 of 20

Collection:

Collection ID:CO000196
Sample Type:Feces

Treatment:

Treatment ID:TR000216

Sample Preparation:

Sampleprep ID:SP000210
Sampleprep Protocol Filename:SCFA_analysis_protocol-2015-03-10.docx

Combined analysis:

Analysis ID AN000290
Analysis type MS
Chromatography type GC
Chromatography system
Column Phenomenex Zebron ZB-WAXplus (30m x 0.25mm, 0.25um)
MS Type EI
MS instrument type Single quadrupole
MS instrument name Agilent 5975C
Ion Mode POSITIVE
Units pmol/mg

Chromatography:

Chromatography ID:CH000212
Methods ID:AQM030
Methods Filename:WAXPLUS_100-200C_2_SIM.txt
Column Name:Phenomenex Zebron ZB-WAXplus (30m x 0.25mm, 0.25um)
Chromatography Type:GC

MS:

MS ID:MS000239
Analysis ID:AN000290
Instrument Name:Agilent 5975C
Instrument Type:Single quadrupole
MS Type:EI
Ion Mode:POSITIVE
Acquisition Parameters File:WAXPLUS_100-200C_2_SIM.txt
Processing Parameters File:EX00332-SCFA-Quant-methods.m.zip
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