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Use of dietary indices to control for diet in human gut microbiota studies.

Ruth C E Bowyer | Matthew A Jackson | Tess Pallister | Jane Skinner | Tim D Spector | Ailsa A Welch | Claire J Steves
Microbiome | 2018

Environmental factors have a large influence on the composition of the human gut microbiota. One of the most influential and well-studied is host diet. To assess and interpret the impact of non-dietary factors on the gut microbiota, we endeavoured to determine the most appropriate method to summarise community variation attributable to dietary effects. Dietary habits are multidimensional with internal correlations. This complexity can be simplified by using dietary indices that quantify dietary variance in a single measure and offer a means of controlling for diet in microbiota studies. However, to date, the applicability of different dietary indices to gut microbiota studies has not been assessed. Here, we use food frequency questionnaire (FFQ) data from members of the TwinsUK cohort to create three different dietary measures applicable in western-diet populations: The Healthy Eating Index (HEI), the Mediterranean Diet Score (MDS) and the Healthy Food Diversity index (HFD-Index). We validate and compare these three indices to determine which best summarises dietary influences on gut microbiota composition.

Pubmed ID: 29695307

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Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MR/N01183X/1
  • Agency: Department of Health, United Kingdom
  • Agency: Medical Research Council, United Kingdom
    Id: MR/N030125/1
  • Agency: Wellcome Trust (GB), International
    Id: WT081878MA
  • Agency: Chronic Disease Research Foundation, International
    Id: CDRF/10/06/2014

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QIIME (tool)

RRID:SCR_008249

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023.Software package for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing data, but also supporting analysis of other types of data. QIMME analyzes and transforms raw sequencing data generated on Illumina or other platforms to publication quality graphics and statistics.

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