@article{759f2f1cad4d4dfbb7048b391f0241eb,
title = "Diet-driven differential response of Akkermansia muciniphila modulates pathogen susceptibility",
abstract = "The erosion of the colonic mucus layer by a dietary fiber-deprived gut microbiota results in heightened susceptibility to an attaching and effacing pathogen, Citrobacter rodentium. Nevertheless, the questions of whether and how specific mucolytic bacteria aid in the increased pathogen susceptibility remain unexplored. Here, we leverage a functionally characterized, 14-member synthetic human microbiota in gnotobiotic mice to deduce which bacteria and functions are responsible for the pathogen susceptibility. Using strain dropouts of mucolytic bacteria from the community, we show that Akkermansia muciniphila renders the host more vulnerable to the mucosal pathogen during fiber deprivation. However, the presence of A. muciniphila reduces pathogen load on a fiber-sufficient diet, highlighting the context-dependent beneficial effects of this mucin specialist. The enhanced pathogen susceptibility is not owing to altered host immune or pathogen responses, but is driven by a combination of increased mucus penetrability and altered activities of A. muciniphila and other community members. Our study provides novel insights into the mechanisms of how discrete functional responses of the same mucolytic bacterium either resist or enhance enteric pathogen susceptibility.",
keywords = "Akkermansia muciniphila, Citrobacter rodentium, Community Ecology, Dietary Fiber, Synthetic Gut Microbiota",
author = "Mathis Wolter and Grant, {Erica T.} and Marie Boudaud and Pudlo, {Nicholas A.} and Pereira, {Gabriel V.} and Eaton, {Kathryn A.} and Martens, {Eric C.} and Desai, {Mahesh S.}",
note = "Acknowledgements We are extremely grateful for support from the Luxembourg National Research Fund (FNR) for CORE grants (C15/BM/10318186 and C18/BM/12585940) and BRIDGES grant (22/17426243) to MSD. We thank the US National Institutes of Health for funding ECM (DK118024 and DK125445). MW was supported by a Fulbright grant for Visiting Scholars from the Commission for Educational Exchange between the United States of America, Belgium, and Luxembourg. ETG was supported by FNR PRIDE (17/11823097) and the Fondation du P{\'e}lican de Mie et Pierre Hippert-Faber, under the aegis of the Fondation de Luxembourg. MB was supported by a European Commission Horizon 2020 Marie Sk{\l}odowska-Curie Actions individual fellowship (897408). We thank MEDICE Arzneimittel P{\"u}tter GmbH & Co. KG, Germany and Theralution GmbH, Germany, for funding through the public–private partnership FNR BRIDGES grant (22/17426243). We also thank Gunnar Hansson and George Birchenough (University of Gothenburg, Sweden) for helping us set up the assay for measuring mucus penetrability. Finally, we thank the University of Michigan Germfree Core and Microbiome Core for expert technical assistance; Sophie Craig for her technical contributions in the lab of MSD; Nathalie Nicot at the LuxGen Platform of the Luxembourg Institute of Health and the Laboratoire national de sant{\'e} for her support in the RNA library preparation and sequencing; Brian De Witt, Lorieza Castillo, and Wim Ammerlaan at the Integrated BioBank of Luxembourg (IBBL) for V4 16S rRNA gene sequencing assistance; and Christian J{\"a}ger, Xiangyi Dong, and Floriane Gavotto from the Luxembourg Centre for Systems Biomedicine Metabolomics Platform for their support with the SCFA analysis. We also thank Markus Ollert for their encouragement and advice. For the purpose of open access, and in fulfillment of the obligations arising from the grant agreement, the author has applied a Creative Commons Attribution 4.0 International (CC BY 4.0) license to any Author Accepted Manuscript version arising from this submission. Publisher Copyright: {\textcopyright} The Author(s) 2024.",
year = "2024",
month = jun,
doi = "10.1038/s44320-024-00036-7",
language = "English",
volume = "20",
pages = "596--625",
journal = "Molecular Systems Biology",
issn = "1744-4292",
publisher = "Wiley-Blackwell",
number = "6",
}