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Diet-Microbiome Interactions in Health Are Controlled by Intestinal Nitrogen Source Constraints

  • Andrew J. Holmes
  • , Yi Vee Chew
  • , Feyza Colakoglu
  • , John B. Cliff
  • , Eline Klaassens
  • , Mark N. Read
  • , Samantha M. Solon-Biet
  • , Aisling C. McMahon
  • , Victoria C. Cogger
  • , Kari Ruohonen
  • , David Raubenheimer
  • , David G. Le Couteur
  • , Stephen J. Simpson

Research output: Contribution to journalArticlepeer-review

157 Scopus citations

Abstract

Diet influences health and patterns of disease in populations. How different diets do this and why outcomes of diets vary between individuals are complex and involve interaction with the gut microbiome. A major challenge for predicting health outcomes of the host-microbiome dynamic is reconciling the effects of different aspects of diet (food composition or intake rate) on the system. Here we show that microbial community assembly is fundamentally shaped by a dichotomy in bacterial strategies to access nitrogen in the gut environment. Consequently, the pattern of dietary protein intake constrains the host-microbiome dynamic in ways that are common to a very broad range of diet manipulation strategies. These insights offer a mechanism for the impact of high protein intake on metabolic health and form the basis for a general theory of the impact of different diet strategies on host-microbiome outcomes.

Original languageEnglish
Pages (from-to)140-151
Number of pages12
JournalCell Metabolism
Volume25
Issue number1
DOIs
StatePublished - Jan 10 2017
Externally publishedYes

Funding

Funding was obtained from the Australian National Health and Medical Research Council (NHMRC project grant 571328), the Ageing and Alzheimers Research Fund of Concord RG Hospital, and the Sydney Medical School Foundation. Additionally, S.J.S. was supported by an Australian Research Council Laureate Fellowship; D.R. was partly funded by Gravida, the National Research Centre for Growth and Development, New Zealand; A.J.H. and Y.V.C. received a Travel and Access Program grant from the Australian Microscopy and Microanalysis Research Facility (AMMRF); and A.J.H. and E.K. were also supported by NHMRC project grant 1026209. We acknowledge the assistance of the Departments of Biochemistry and Anatomical Pathology, Concord RG Hospital. We thank Connie Ha, Timur Burykin, Szun Tay, and Patrick Bertolino for their contributions to other aspects of the study.

Keywords

  • aging
  • diet
  • geometric framework
  • gut microbiome
  • microbial ecology
  • mucin
  • nutritional geometry
  • obesity

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