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Metabolomics activity screening of T cell–induced colitis reveals anti-inflammatory metabolites

Authors :
Clara Moon
J. Rafael Montenegro-Burke
Xavier Domingo-Almenara
Lars Eckmann
Dennis W. Wolan
Seiya Kitamura
Bernard P. Kok
Carlos Guijas
Enrique Saez
Andrea Galmozzi
Gary Siuzdak
Source :
Sci Signal
Publication Year :
2021
Publisher :
American Association for the Advancement of Science (AAAS), 2021.

Abstract

Untargeted metabolomics of disease-associated intestinal microbiota can detect quantitative changes in metabolite profiles and complement other methodologies to reveal the full effect of intestinal dysbiosis. Here, we used the T cell transfer mouse model of colitis to identify small-molecule metabolites with altered abundance due to intestinal inflammation. We applied untargeted metabolomics to detect metabolite signatures in cecal, colonic, and fecal samples from healthy and colitic mice and to uncover differences that would aid in the identification of colitis-associated metabolic processes. We provided an unbiased spatial survey of the GI tract for small molecules, and we identified the likely source of metabolites and biotransformations. Several prioritized metabolites that we detected as being altered in colitis were evaluated for their ability to induce inflammatory signaling in cultured macrophages, such as NF-κB signaling and the expression of cytokines and chemokines upon LPS stimulation. Multiple previously uncharacterized anti-inflammatory and inflammation-augmenting metabolites were thus identified, with phytosphingosine showing the most effective anti-inflammatory activity in vitro. We further demonstrated that oral administration of phytosphingosine decreased inflammation in a mouse model of colitis induced by the compound TNBS. The collection of distinct metabolites we identified and characterized, many of which have not been previously associated with colitis, may offer new biological insight into IBD-associated inflammation and disease pathogenesis.

Details

ISSN :
19379145 and 19450877
Volume :
14
Database :
OpenAIRE
Journal :
Science Signaling
Accession number :
edsair.doi.dedup.....726b45bfe9d7ba6629fd076147508f59
Full Text :
https://doi.org/10.1126/scisignal.abf6584