Summary of Study ST001075

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 PR000720. The data can be accessed directly via it's Project DOI: 10.21228/M8M977 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 IDST001075
Study TitleIntegrated metabolome and transcriptome analyses provide novel insight into colon cancer modulation by the gut microbiota
Study SummaryColon cancer onset and progression is strongly associated with the presence, absence, or relative abundances of certain microbial taxa in the gastrointestinal tract. However, specific mechanisms affecting disease susceptibility related to complex commensal bacterial mixtures are poorly understood. We used a multi-omics approach to determine how differences in the complex gut microbiome (GM) influence the metabolome and host transcriptome and ultimately affect susceptibility to adenoma development. Fecal samples collected from a preclinical rat model of colon cancer harboring distinct complex GMs were analyzed using ultra-high performance liquid chromatography mass spectrometry (UHPLC-MS). We collected samples prior to observable disease onset and identified putative metabolite profiles that predicted future disease severity, independent of GM status. Transcriptome analyses performed after disease onset from normal epithelium and tumor tissues between the high and low tumor GMs suggests that the GM is also correlated with altered host gene expression. Integrated pathway (IP) analyses of the metabolome and transcriptome based on putatively identified metabolic features indicate that bile acid biosynthesis was enriched in rats with high tumors (GM:F344) along with increased fatty acid metabolism and mucin biosynthesis. These data emphasize the utility of using untargeted metabolomics to reveal signatures of susceptibility and resistance and integrated analysis reveals common pathways that are likely to be universal targets for intervention.
Institute
University of Missouri-Columbia
Last NameBusi
First NameSusheel Bhanu
Address4011 Discovery Drive N121
EmailSB6F4@MAIL.MISSOURI.EDU
Phone2404094390
Submit Date2018-10-10
Num Groups3
Total Subjects13
Raw Data AvailableYes
Raw Data File Type(s)cdf
Analysis Type DetailGC-MS
Release Date2019-01-22
Release Version1
Susheel Bhanu Busi Susheel Bhanu Busi
https://dx.doi.org/10.21228/M8M977
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Sample Preparation:

Sampleprep ID:SP001126
Sampleprep Summary:Fecal samples were lyophilized at -20 ˚C using 0.1 millibar of vacuum pressure, following which dried samples (30 mg) were extracted sequentially for both UHPLC-MS and GC-MS. The dried samples were first treated with 1.0 mL of 80% MeOH containing 18 µg/mL umbelliferone, sonicated for 5 minutes and centrifuged for 40 minutes at 3000 g at 10 ºC. 0.5 mL of supernatant was used for UHPLC-MS analysis after a subsequent spin at 5000 g at 10 ºC for 20 minutes and transferring 250 µL of the sample into glass autosampler vials with inserts. For GC-MS (Gas Chromatography-Mass Spectrometry) analyses of primary polar metabolites, 0.5 mL water was added the remaining extract used above for the UHPLC preparation, sonicated for 5 min, extracted for 30min, and centrifuged at 3000 g. 0.5 mL of the polar extract was subsequently dried under nitrogen and derivatized using previously established protocols (84). Briefly, N-Methyl-N-(trimethylsilyl) trifluoroacetamide (MSTFA) with 1 % TMCS (2,2,2-Trifluoro-N-methyl-N-(trimethylsilyl)-acetamide, Chlorotrimethylsilane) was used to derivatize the polar metabolites, after treatment with methoxyamine-HCl-pyridine.
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