bioRxivImmunologyPreprint
Mining for disease-associated microbial metabolites in an age-dependent model of multiple sclerosis
Annie PuiD, Naomi M. FettigiD, Alexandros PolyzoisiD, Gary Y. C. ChaoiD, Ikbel NaouariD, Leah S. HohmaniD, Marissa A Fontaine, Michelle ZuoiD, Kevin Champagne-JorgenseniD, Julia K. Copeland, Donny Chan, Katherine M Davis, Ruoqi Yu, Sarah PoppleiD, Natalia A Carranza García, David S Guttman, Kathy D. McCoyiD, Valeria RamagliaiD, Frank C. SchroederiD, Jennifer L. GommermaniD, Lisa C. OsborneiD
Abstract
Age is a risk factor for the neurological decline and physical disability that characterize progressive multiple sclerosis (MS). The intestinal microbiota and the bioactive compounds it produces can influence aging, immunity, and the central nervous system (CNS). Here, we use an experimental autoimmune encephalomyelitis (EAE) model that mimics features of progressive MS in aged, but not young, mice to address the intersection of age and the microbiota on EAE outcomes. Although the microbiota of SJL/J mice aged under controlled laboratory conditions does not promote an aged non-remitting EAE phenotype, young mice harboring heterochronic human fecal microbiota transplants (hFMT) developed a range of EAE phenotypes. Metabolomic profiling of mice colonized with an aged hFMT that promoted non-remitting EAE indicated a severe reduction in circulating levels of the microbiota-derived tryptophan metabolite indole 3-propionic acid (IPA). IPA-supplementation enforced remission in mice colonized with the non-remitting hFMT, demonstrating the utility of this in vivo pipeline for discovering metabolites associated with progressive MS-like disease. SummaryThe microbiota is a critical determinant of disease susceptibility in mouse models of MS. Here, Pu & Fettig et al. demonstrate that disease outcomes (remitting or non-remitting) are microbiota-responsive, and describe an in vivo pipeline that can be mined for microbial metabolites with therapeutic potential for progressive MS.
- organism: mouse
- assay: metabolomics
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 3
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