Summary of Study ST003799

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 PR002363. The data can be accessed directly via it's Project DOI: 10.21228/M8653M 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 IDST003799
Study TitleMolecular fingerprint inference reveals bioactive lipids and microbial metabolites in colitis. Study 2.
Study TypeBacterial cell cultures
Study SummaryUntargeted metabolomics provides a sensitive readout of small molecules in biofluids, but requires targeted approaches to resolve ~90% of features for which tandem mass spectra (MS/MS) are not collected. By training on a subset of verified metabolites and their profiles in LC-MS, we derive a probabilistic model to predict molecular fingerprints in human stool and blood samples. These predictions, which do not utilize MS/MS, were accurate for >44% (correct top ranked candidate) or >75% (correct within top 3) of test metabolites, drastically reducing the number of reference standards that would need to be to be tested. These predictions revealed markers and drivers of inflammation, including amino acid derivatives and lysophospholipids with herein demonstrated platelet-activating factor receptor (PAF-R) activity. Integration with bacterial culturomics facilitates tracking the source of inflammation-associated metabolites to their origins in the gut microbiome.
Institute
Broad Institute of MIT and Harvard
Last NameAvila-Pacheco
First NameJulian
Address415 Main Street
Emailjravilap@broadinstitute.org
Phone(617) 714-1729
Submit Date2025-03-04
Raw Data AvailableYes
Raw Data File Type(s)mzML, raw(Thermo)
Analysis Type DetailLC-MS
Release Date2025-08-04
Release Version1
Julian Avila-Pacheco Julian Avila-Pacheco
https://dx.doi.org/10.21228/M8653M
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Subject:

Subject ID:SU003933
Subject Type:Bacteria
Subject Species:Dorea longicatena
Taxonomy ID:88431
Genotype Strain:Flavonifractor plautii, Dorea longicatena, Turicibacter sanguinis, Clostridium bolteae, Clostridium symbiosum, Clostridium innocuum, Clostridium clostridioforme, Streptococcus parasanguinis
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