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The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota
OBJECTIVES: To develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. METHODS: A literature review of longitudinal studies on the effect of diet on gut microbiota in adult populations was conducted, extracting those...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193695/ http://dx.doi.org/10.1093/cdn/nzac054.026 |
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author | Kase, Bezawit Eyob Liese, Angela Zhang, Jiajia Murphy, E Angela Zhao, Longgang Steck, Susan |
author_facet | Kase, Bezawit Eyob Liese, Angela Zhang, Jiajia Murphy, E Angela Zhao, Longgang Steck, Susan |
author_sort | Kase, Bezawit Eyob |
collection | PubMed |
description | OBJECTIVES: To develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. METHODS: A literature review of longitudinal studies on the effect of diet on gut microbiota in adult populations was conducted, extracting those dietary components with evidence of beneficial or harmful effects on gut microbiota. Using 24-hour dietary recall data collected on two separate days from the National Health and Nutrition Examination Survey (NHANES, 2005–2010, n = 3,821), DI-GM scores were computed and associations with biomarkers of gut microbiota diversity (urinary enterodiol and enterolactone) were examined using linear regression. Analyses were adjusted for potential confounding effect of sociodemographic and lifestyle factors. Lastly, congruence of the DI-GM with pre-existing dietary indices (Healthy Eating Index (HEI-2015) and Mediterranean Diet Score (MDS)) were examined. RESULTS: From a review of 121 articles, 14 foods were identified as components of the DI-GM, including fermented dairy, chickpeas, soybean, whole grains, fiber, cranberries, avocados, broccoli, coffee, and green tea (beneficial components) and red meat, processed meat, refined grains, and high fat diet (≥40% of energy from fat) (harmful components). Each component was scored 0 or 1 based on sex-specific median intakes and scores were summed to develop the DI-GM score. In NHANES, DI-GM scores ranged from 0–13 because intake of green tea was not reported, and the mean DI-GM was 4.8 (SD = 0.04). Positive associations between DI-GM and urinary enterodiol (β=0.123, 95%CI: 0.079, 0.166) and enterolactone (β=0.138, 95%CI: 0.091, 0.184) were observed in multivariable-adjusted models. The DI-GM showed moderate positive correlation with HEI-2015 (r = 0.537, p < 0.001) and MDS (r = 0.423, p < 0.001). CONCLUSIONS: A novel DI-GM was developed based on published literature to score the quality of diet in terms of maintaining healthy gut microbiota. The DI-GM was significantly associated with markers of gut microbiota diversity in NHANES, signifying the potential utility of this index for gut-health related studies. FUNDING SOURCES: None. |
format | Online Article Text |
id | pubmed-9193695 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91936952022-06-14 The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota Kase, Bezawit Eyob Liese, Angela Zhang, Jiajia Murphy, E Angela Zhao, Longgang Steck, Susan Curr Dev Nutr Dietary Patterns OBJECTIVES: To develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. METHODS: A literature review of longitudinal studies on the effect of diet on gut microbiota in adult populations was conducted, extracting those dietary components with evidence of beneficial or harmful effects on gut microbiota. Using 24-hour dietary recall data collected on two separate days from the National Health and Nutrition Examination Survey (NHANES, 2005–2010, n = 3,821), DI-GM scores were computed and associations with biomarkers of gut microbiota diversity (urinary enterodiol and enterolactone) were examined using linear regression. Analyses were adjusted for potential confounding effect of sociodemographic and lifestyle factors. Lastly, congruence of the DI-GM with pre-existing dietary indices (Healthy Eating Index (HEI-2015) and Mediterranean Diet Score (MDS)) were examined. RESULTS: From a review of 121 articles, 14 foods were identified as components of the DI-GM, including fermented dairy, chickpeas, soybean, whole grains, fiber, cranberries, avocados, broccoli, coffee, and green tea (beneficial components) and red meat, processed meat, refined grains, and high fat diet (≥40% of energy from fat) (harmful components). Each component was scored 0 or 1 based on sex-specific median intakes and scores were summed to develop the DI-GM score. In NHANES, DI-GM scores ranged from 0–13 because intake of green tea was not reported, and the mean DI-GM was 4.8 (SD = 0.04). Positive associations between DI-GM and urinary enterodiol (β=0.123, 95%CI: 0.079, 0.166) and enterolactone (β=0.138, 95%CI: 0.091, 0.184) were observed in multivariable-adjusted models. The DI-GM showed moderate positive correlation with HEI-2015 (r = 0.537, p < 0.001) and MDS (r = 0.423, p < 0.001). CONCLUSIONS: A novel DI-GM was developed based on published literature to score the quality of diet in terms of maintaining healthy gut microbiota. The DI-GM was significantly associated with markers of gut microbiota diversity in NHANES, signifying the potential utility of this index for gut-health related studies. FUNDING SOURCES: None. Oxford University Press 2022-06-14 /pmc/articles/PMC9193695/ http://dx.doi.org/10.1093/cdn/nzac054.026 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Dietary Patterns Kase, Bezawit Eyob Liese, Angela Zhang, Jiajia Murphy, E Angela Zhao, Longgang Steck, Susan The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota |
title | The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota |
title_full | The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota |
title_fullStr | The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota |
title_full_unstemmed | The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota |
title_short | The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota |
title_sort | development and evaluation of a literature-based dietary index for gut microbiota |
topic | Dietary Patterns |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193695/ http://dx.doi.org/10.1093/cdn/nzac054.026 |
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