Literature DB >> 34582249

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

J Rafael Montenegro-Burke1, Bernard P Kok1, Carlos Guijas1, Xavier Domingo-Almenara1, Clara Moon2, Andrea Galmozzi2, Seiya Kitamura2, Lars Eckmann3, Enrique Saez2, Gary E Siuzdak1,4, Dennis W Wolan2,4.   

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.

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Year:  2021        PMID: 34582249      PMCID: PMC8757460          DOI: 10.1126/scisignal.abf6584

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   8.192


  57 in total

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  2 in total

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