Cargando…
Use of dietary indices to control for diet in human gut microbiota studies
BACKGROUND: 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...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5918560/ https://www.ncbi.nlm.nih.gov/pubmed/29695307 http://dx.doi.org/10.1186/s40168-018-0455-y |
_version_ | 1783317443827990528 |
---|---|
author | Bowyer, Ruth C. E. Jackson, Matthew A. Pallister, Tess Skinner, Jane Spector, Tim D. Welch, Ailsa A. Steves, Claire J. |
author_facet | Bowyer, Ruth C. E. Jackson, Matthew A. Pallister, Tess Skinner, Jane Spector, Tim D. Welch, Ailsa A. Steves, Claire J. |
author_sort | Bowyer, Ruth C. E. |
collection | PubMed |
description | BACKGROUND: 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. RESULTS: All three indices were independently validated using established measures of health, and all were significantly associated with microbiota measures; the HEI had the highest t values in models of alpha diversity measures, and had the highest number of associations with microbial taxa. Beta diversity analyses showed the HEI explained the greatest variance of microbiota composition. In paired tests between twins discordant for dietary index score, the HEI was associated with the greatest variation of taxa and twin dissimilarity. CONCLUSIONS: We find that the HEI explains the most variance in, and has the strongest association with, gut microbiota composition in a western (UK) population, suggesting that it may be the best summary measure to capture gut microbiota variance attributable to habitual diet in comparable populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0455-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5918560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59185602018-04-30 Use of dietary indices to control for diet in human gut microbiota studies Bowyer, Ruth C. E. Jackson, Matthew A. Pallister, Tess Skinner, Jane Spector, Tim D. Welch, Ailsa A. Steves, Claire J. Microbiome Research BACKGROUND: 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. RESULTS: All three indices were independently validated using established measures of health, and all were significantly associated with microbiota measures; the HEI had the highest t values in models of alpha diversity measures, and had the highest number of associations with microbial taxa. Beta diversity analyses showed the HEI explained the greatest variance of microbiota composition. In paired tests between twins discordant for dietary index score, the HEI was associated with the greatest variation of taxa and twin dissimilarity. CONCLUSIONS: We find that the HEI explains the most variance in, and has the strongest association with, gut microbiota composition in a western (UK) population, suggesting that it may be the best summary measure to capture gut microbiota variance attributable to habitual diet in comparable populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40168-018-0455-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-25 /pmc/articles/PMC5918560/ /pubmed/29695307 http://dx.doi.org/10.1186/s40168-018-0455-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Bowyer, Ruth C. E. Jackson, Matthew A. Pallister, Tess Skinner, Jane Spector, Tim D. Welch, Ailsa A. Steves, Claire J. Use of dietary indices to control for diet in human gut microbiota studies |
title | Use of dietary indices to control for diet in human gut microbiota studies |
title_full | Use of dietary indices to control for diet in human gut microbiota studies |
title_fullStr | Use of dietary indices to control for diet in human gut microbiota studies |
title_full_unstemmed | Use of dietary indices to control for diet in human gut microbiota studies |
title_short | Use of dietary indices to control for diet in human gut microbiota studies |
title_sort | use of dietary indices to control for diet in human gut microbiota studies |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5918560/ https://www.ncbi.nlm.nih.gov/pubmed/29695307 http://dx.doi.org/10.1186/s40168-018-0455-y |
work_keys_str_mv | AT bowyerruthce useofdietaryindicestocontrolfordietinhumangutmicrobiotastudies AT jacksonmatthewa useofdietaryindicestocontrolfordietinhumangutmicrobiotastudies AT pallistertess useofdietaryindicestocontrolfordietinhumangutmicrobiotastudies AT skinnerjane useofdietaryindicestocontrolfordietinhumangutmicrobiotastudies AT spectortimd useofdietaryindicestocontrolfordietinhumangutmicrobiotastudies AT welchailsaa useofdietaryindicestocontrolfordietinhumangutmicrobiotastudies AT stevesclairej useofdietaryindicestocontrolfordietinhumangutmicrobiotastudies |