Summary of Study ST000083

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR000075. The data can be accessed directly via it's Project DOI: 10.21228/M86K5H This work is supported by NIH grant, U2C- DK119886.


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Study IDST000083
Study TitleA Multi-Omic View of Host-Pathogen-Commensal Interplay in Salmonella-Mediated Intestinal Infection
Study TypeTimecourse of Infection
Study SummaryThe potential for commensal microorganisms indigenous to a host (the ‘microbiome’ or ‘microbiota’) to alter infection outcome by influencing host-pathogen interplay is largely unknown. We used a multi-omics ‘‘systems’’ approach, incorporating proteomics, metabolomics, glycomics, and metagenomics, to explore the molecular interplay between the murine host, the pathogen Salmonella enterica serovar Typhimurium (S. Typhimurium), and commensal gut microorganisms during intestinal infection with S. Typhimurium. We find proteomic evidence that S. Typhimurium thrives within the infected 129/SvJ mouse gut without antibiotic pre-treatment, inducing inflammation and disrupting the intestinal microbiome (e.g., suppressing Bacteroidetes and Firmicutes while promoting growth of Salmonella and Enterococcus). Alteration of the host microbiome population structure was highly correlated with gut environmental changes, including the accumulation of metabolites normally consumed by commensal microbiota. Finally, the less characterized phase of S. Typhimurium’s lifecycle was investigated, and both proteomic and glycomic evidence suggests S. Typhimurium may take advantage of increased fucose moieties to metabolize fucose while growing in the gut. The application of multiple omics measurements to Salmonella-induced intestinal inflammation provides insights into complex molecular strategies employed during pathogenesis between host, pathogen, and the microbiome.
Pacific Northwest National Laboratory
DepartmentBiological Separation and Mass Spectrometry
Last NameMetz
First NameThomas
Submit Date2014-06-25
Num Groups4
Total Subjects30
Raw Data AvailableYes
Raw Data File Type(s)cdf, d
Uploaded File Size268 M
Analysis Type DetailGC-MS
Release Date2014-07-30
Release Version1
Thomas Metz Thomas Metz application/zip

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Subject type: Animal; Subject species: Mus musculus (Factor headings shown in green)

mb_sample_id local_sample_id Infection Experimental Group Harvest Day
SA004254SBEP_Microbiome.002Control Control Group 1 1
SA004253SBEP_Microbiome.001Control Control Group 1 -1
SA004255SBEP_Microbiome.005Control Control Group 1 10
SA004256SBEP_Microbiome.006Control Control Group 1 14
SA004257SBEP_Microbiome.007Control Control Group 1 21
SA004258SBEP_Microbiome.008Control Control Group 1 28
SA004259SBEP_Microbiome.003Control Control Group 1 3
SA004260SBEP_Microbiome.004Control Control Group 1 6
SA004262SBEP_Microbiome.010Control Control Group 2 1
SA004261SBEP_Microbiome.009Control Control Group 2 -1
SA004263SBEP_Microbiome.013Control Control Group 2 10
SA004264SBEP_Microbiome.014Control Control Group 2 14
SA004265SBEP_Microbiome.015Control Control Group 2 21
SA004266SBEP_Microbiome.016Control Control Group 2 28
SA004267SBEP_Microbiome.011Control Control Group 2 3
SA004268SBEP_Microbiome.012Control Control Group 2 6
SA004270SBEP_Microbiome.018Infected Experimental 1 1
SA004269SBEP_Microbiome.017Infected Experimental 1 -1
SA004271SBEP_Microbiome.021Infected Experimental 1 10
SA004272SBEP_Microbiome.022Infected Experimental 1 14
SA004273SBEP_Microbiome.023Infected Experimental 1 21
SA004274SBEP_Microbiome.024Infected Experimental 1 28
SA004275SBEP_Microbiome.019Infected Experimental 1 3
SA004276SBEP_Microbiome.020Infected Experimental 1 6
SA004278SBEP_Microbiome.026Infected Experimental 2 1
SA004277SBEP_Microbiome.025Infected Experimental 2 -1
SA004279SBEP_Microbiome.029Infected Experimental 2 10
SA004280SBEP_Microbiome.030Infected Experimental 2 14
SA004281SBEP_Microbiome.027Infected Experimental 2 3
SA004282SBEP_Microbiome.028Infected Experimental 2 6
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