Affiliations 

  • 1 Department Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
  • 2 Twins Research and Epidemiology, King's College London, London, UK
  • 3 Diabetes and Nutritional Sciences Division, King's College London, London, UK
  • 4 Department of Clinical Sciences, Lund University, Lund, Sweden
  • 5 NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals Trust and the University of Nottingham, Nottingham, UK
  • 6 Zoe Global, London, UK
  • 7 Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
  • 8 Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
  • 9 Department CIBIO, University of Trento, Trento, Trentino-Alto Adige, Italy
  • 10 Diabetes and Nutritional Sciences Division, King's College London, London, UK sarah.e.berry@kcl.ac.uk
Gut, 2021 09;70(9):1665-1674.
PMID: 33722860 DOI: 10.1136/gutjnl-2020-323877

Abstract

BACKGROUND AND AIMS: Gut transit time is a key modulator of host-microbiome interactions, yet this is often overlooked, partly because reliable methods are typically expensive or burdensome. The aim of this single-arm, single-blinded intervention study is to assess (1) the relationship between gut transit time and the human gut microbiome, and (2) the utility of the 'blue dye' method as an inexpensive and scalable technique to measure transit time.

METHODS: We assessed interactions between the taxonomic and functional potential profiles of the gut microbiome (profiled via shotgun metagenomic sequencing), gut transit time (measured via the blue dye method), cardiometabolic health and diet in 863 healthy individuals from the PREDICT 1 study.

RESULTS: We found that gut microbiome taxonomic composition can accurately discriminate between gut transit time classes (0.82 area under the receiver operating characteristic curve) and longer gut transit time is linked with specific microbial species such as Akkermansia muciniphila, Bacteroides spp and Alistipes spp (false discovery rate-adjusted p values <0.01). The blue dye measure of gut transit time had the strongest association with the gut microbiome over typical transit time proxies such as stool consistency and frequency.

CONCLUSIONS: Gut transit time, measured via the blue dye method, is a more informative marker of gut microbiome function than traditional measures of stool consistency and frequency. The blue dye method can be applied in large-scale epidemiological studies to advance diet-microbiome-health research. Clinical trial registry website https://clinicaltrials.gov/ct2/show/NCT03479866 and trial number NCT03479866.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.