Literature DB >> 35764090

Microbial liberation of N-methylserotonin from orange fiber in gnotobiotic mice and humans.

Nathan D Han1, Jiye Cheng1, Omar Delannoy-Bruno1, Daniel Webber2, Nicolas Terrapon3, Bernard Henrissat4, Dmitry A Rodionov5, Aleksandr A Arzamasov5, Andrei L Osterman5, David K Hayashi6, Alexandra Meynier6, Sophie Vinoy6, Chandani Desai1, Stacey Marion7, Michael J Barratt2, Andrew C Heath7, Jeffrey I Gordon8.   

Abstract

Plant fibers in byproduct streams produced by non-harsh food processing methods represent biorepositories of diverse, naturally occurring, and physiologically active biomolecules. To demonstrate one approach for their characterization, mass spectrometry of intestinal contents from gnotobiotic mice, plus in vitro studies, revealed liberation of N-methylserotonin from orange fibers by human gut microbiota members including Bacteroides ovatus. Functional genomic analyses of B. ovatus strains grown under permissive and non-permissive N-methylserotonin "mining" conditions revealed polysaccharide utilization loci that target pectins whose expression correlate with strain-specific liberation of this compound. N-methylserotonin, orally administered to germ-free mice, reduced adiposity, altered liver glycogenesis, shortened gut transit time, and changed expression of genes that regulate circadian rhythm in the liver and colon. In human studies, dose-dependent, orange-fiber-specific fecal accumulation of N-methylserotonin positively correlated with levels of microbiome genes encoding enzymes that digest pectic glycans. Identifying this type of microbial mining activity has potential therapeutic implications.
Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  N-methylserotonin; byproducts of food manufacturing; carbohydrate-active enzymes; dietary fibers; gnotobiotic mice; microbiota-mediated metabolite liberation

Mesh:

Substances:

Year:  2022        PMID: 35764090      PMCID: PMC9271604          DOI: 10.1016/j.cell.2022.06.004

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   66.850


  86 in total

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Authors:  Devinder Dhingra; Mona Michael; Hradesh Rajput; R T Patil
Journal:  J Food Sci Technol       Date:  2011-04-12       Impact factor: 2.701

2.  featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

Authors:  Yang Liao; Gordon K Smyth; Wei Shi
Journal:  Bioinformatics       Date:  2013-11-13       Impact factor: 6.937

3.  Assembly of long, error-prone reads using repeat graphs.

Authors:  Mikhail Kolmogorov; Jeffrey Yuan; Yu Lin; Pavel A Pevzner
Journal:  Nat Biotechnol       Date:  2019-04-01       Impact factor: 54.908

4.  Interspecies Competition Impacts Targeted Manipulation of Human Gut Bacteria by Fiber-Derived Glycans.

Authors:  Michael L Patnode; Zachary W Beller; Nathan D Han; Jiye Cheng; Samantha L Peters; Nicolas Terrapon; Bernard Henrissat; Sophie Le Gall; Luc Saulnier; David K Hayashi; Alexandra Meynier; Sophie Vinoy; Richard J Giannone; Robert L Hettich; Jeffrey I Gordon
Journal:  Cell       Date:  2019-09-19       Impact factor: 41.582

Review 5.  The behavior of dietary fiber in the gastrointestinal tract determines its physiological effect.

Authors:  Edoardo Capuano
Journal:  Crit Rev Food Sci Nutr       Date:  2017-11-02       Impact factor: 11.176

6.  The long-term stability of the human gut microbiota.

Authors:  Jeremiah J Faith; Janaki L Guruge; Mark Charbonneau; Sathish Subramanian; Henning Seedorf; Andrew L Goodman; Jose C Clemente; Rob Knight; Andrew C Heath; Rudolph L Leibel; Michael Rosenbaum; Jeffrey I Gordon
Journal:  Science       Date:  2013-07-05       Impact factor: 47.728

7.  A Forward Chemical Genetic Screen Reveals Gut Microbiota Metabolites That Modulate Host Physiology.

Authors:  Haiwei Chen; Phu-Khat Nwe; Yi Yang; Connor E Rosen; Agata A Bielecka; Manik Kuchroo; Gary W Cline; Andrew C Kruse; Aaron M Ring; Jason M Crawford; Noah W Palm
Journal:  Cell       Date:  2019-04-18       Impact factor: 41.582

8.  Gut microbiota from twins discordant for obesity modulate metabolism in mice.

Authors:  Vanessa K Ridaura; Jeremiah J Faith; Federico E Rey; Jiye Cheng; Alexis E Duncan; Andrew L Kau; Nicholas W Griffin; Vincent Lombard; Bernard Henrissat; James R Bain; Michael J Muehlbauer; Olga Ilkayeva; Clay F Semenkovich; Katsuhiko Funai; David K Hayashi; Barbara J Lyle; Margaret C Martini; Luke K Ursell; Jose C Clemente; William Van Treuren; William A Walters; Rob Knight; Christopher B Newgard; Andrew C Heath; Jeffrey I Gordon
Journal:  Science       Date:  2013-09-06       Impact factor: 47.728

9.  Rapid, low-input, low-bias construction of shotgun fragment libraries by high-density in vitro transposition.

Authors:  Andrew Adey; Hilary G Morrison; Xu Xun; Jacob O Kitzman; Emily H Turner; Bethany Stackhouse; Alexandra P MacKenzie; Nicholas C Caruccio; Xiuqing Zhang; Jay Shendure
Journal:  Genome Biol       Date:  2010-12-08       Impact factor: 13.583

10.  The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST).

Authors:  Ross Overbeek; Robert Olson; Gordon D Pusch; Gary J Olsen; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Bruce Parrello; Maulik Shukla; Veronika Vonstein; Alice R Wattam; Fangfang Xia; Rick Stevens
Journal:  Nucleic Acids Res       Date:  2013-11-29       Impact factor: 16.971

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  2 in total

1.  Gut microbes that munch on orange pulp charge up metabolism.

Authors: 
Journal:  Nature       Date:  2022-07       Impact factor: 49.962

Review 2.  The potential of tailoring the gut microbiome to prevent and treat cardiometabolic disease.

Authors:  Rima Mohsen Chakaroun; Lisa M Olsson; Fredrik Bäckhed
Journal:  Nat Rev Cardiol       Date:  2022-10-14       Impact factor: 49.421

  2 in total

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