Abstract

Real time in vivo methods are needed to better understand the interplay between diet and the gastrointestinal microbiota. Therefore, a rodent indirect calorimetry system was equipped with hydrogen (H2) and methane (CH4) sensors. H2 production was readily detected in C57BL/6J mice and followed a circadian rhythm. H2 production was increased within 12 hours after first exposure to a lowly-digestible starch diet (LDD) compared to a highly-digestible starch diet (HDD). Marked differences were observed in the faecal microbiota of animals fed the LDD and HDD diets. H2 was identified as a key variable explaining the variation in microbial communities, with specific taxa (including Bacteroides and Parasutterella) correlating with H2 production upon LDD-feeding. CH4 production was undetectable which was in line with absence of CH4 producers in the gut. We conclude that real-time in vivo monitoring of gases provides a non-invasive time-resolved system to explore the interplay between nutrition and gut microbes in a mouse model, and demonstrates potential for translation to other animal models and human studies.

Details

Title
Non-invasive continuous real-time in vivo analysis of microbial hydrogen production shows adaptation to fermentable carbohydrates in mice
Author
Fernández-Calleja, José M S 1 ; Konstanti, Prokopis 2 ; Swarts, Hans J M 1 ; Bouwman, Lianne M S 1 ; Garcia-Campayo, Vicenta 3 ; Billecke, Nils 4   VIAFID ORCID Logo  ; Oosting, Annemarie 5 ; Smidt, Hauke 2 ; Keijer, Jaap 1 ; van Schothorst, Evert M 1   VIAFID ORCID Logo 

 Human and Animal Physiology, Wageningen University, Wageningen, The Netherlands 
 Laboratory of Microbiology, Wageningen University, Wageningen, The Netherlands 
 Cargill R&D, Minneapolis, MN, USA 
 Cargill R&D Centre Europe, Vilvoorde, Belgium 
 Danone Nutricia Research, Utrecht, The Netherlands 
Pages
1-16
Publication year
2018
Publication date
Oct 2018
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2122519671
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.