Loading…
The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota
The aim of the study was to develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. We conducted a literature review of longitudinal studies on the association of diet with gut microbiota in adult populations and ext...
Saved in:
Published in: | Nutrients 2024-04, Vol.16 (7), p.1045 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c382t-f83a9db71dbed8ec8902649f711383e4351341062bde9c6f739ae60c7a8e6f0b3 |
container_end_page | |
container_issue | 7 |
container_start_page | 1045 |
container_title | Nutrients |
container_volume | 16 |
creator | Kase, Bezawit E Liese, Angela D Zhang, Jiajia Murphy, Elizabeth Angela Zhao, Longgang Steck, Susan E |
description | The aim of the study was to develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. We conducted a literature review of longitudinal studies on the association of diet with gut microbiota in adult populations and extracted those dietary components with evidence of beneficial or unfavorable effects. Dietary recall data from the National Health and Nutrition Examination Survey (NHANES, 2005-2010,
= 3812) were used to compute the DI-GM, and associations with biomarkers of gut microbiota diversity (urinary enterodiol and enterolactone) were examined using linear regression. From a review of 106 articles, 14 foods or nutrients were identified as components of the DI-GM, including fermented dairy, chickpeas, soybean, whole grains, fiber, cranberries, avocados, broccoli, coffee, and green tea as beneficial components, and red meat, processed meat, refined grains, and high-fat diet (≥40% of energy from fat) as unfavorable components. Each component was scored 0 or 1 based on sex-specific median intakes, and scores were summed to develop the overall DI-GM score. In the NHANES, DI-GM scores ranged from 0-13 with a mean of 4.8 (SE = 0.04). Positive associations between DI-GM and urinary enterodiol and enterolactone were observed. The association of the novel DI-GM with markers of gut microbiota diversity demonstrates the potential utility of this index for gut health-related studies. |
doi_str_mv | 10.3390/nu16071045 |
format | article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_3153149529</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A790020450</galeid><sourcerecordid>A790020450</sourcerecordid><originalsourceid>FETCH-LOGICAL-c382t-f83a9db71dbed8ec8902649f711383e4351341062bde9c6f739ae60c7a8e6f0b3</originalsourceid><addsrcrecordid>eNqFkc9v1TAMxyPExKaxy_4AFIkLQupw6jZpjmMbY9KbdtnOVdo4kKlNHmk6wX9Pnt74IS7YB1vWx3biL2OnAs4QNXwIq5CgBDTtC3ZUg6orKRt8-Vd-yE6W5RF2pkBJfMUOsZMCQakj9nD_lfglPdEUtzOFzE2w_OrJTKvJPgYeHTd84zMlk9dE1UezkOWXnrJJP_hNsPSdu5j49Zr5rR9THHzM5jU7cGZa6OQ5HrOHT1f3F5-rzd31zcX5phqxq3PlOjTaDkrYgWxHY6ehlo12SgjskBpsBTYCZD1Y0qN0CrUhCaMyHUkHAx6zd_u52xS_rbTkfvbLSNNkAsV16VG0KBrd1vr_KGBXFqJuCvr2H_QxrimUj-wo1SqEFgp1tqe-mIl6H1zMyYzFLc1-jIGcL_VzpQHqos6u4f2-oVxpWRK5fpv8XM7YC-h3WvZ_tCzwm-c3rMNM9jf6Szn8Cbtnlj0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3037573050</pqid></control><display><type>article</type><title>The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Kase, Bezawit E ; Liese, Angela D ; Zhang, Jiajia ; Murphy, Elizabeth Angela ; Zhao, Longgang ; Steck, Susan E</creator><creatorcontrib>Kase, Bezawit E ; Liese, Angela D ; Zhang, Jiajia ; Murphy, Elizabeth Angela ; Zhao, Longgang ; Steck, Susan E</creatorcontrib><description>The aim of the study was to develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. We conducted a literature review of longitudinal studies on the association of diet with gut microbiota in adult populations and extracted those dietary components with evidence of beneficial or unfavorable effects. Dietary recall data from the National Health and Nutrition Examination Survey (NHANES, 2005-2010,
= 3812) were used to compute the DI-GM, and associations with biomarkers of gut microbiota diversity (urinary enterodiol and enterolactone) were examined using linear regression. From a review of 106 articles, 14 foods or nutrients were identified as components of the DI-GM, including fermented dairy, chickpeas, soybean, whole grains, fiber, cranberries, avocados, broccoli, coffee, and green tea as beneficial components, and red meat, processed meat, refined grains, and high-fat diet (≥40% of energy from fat) as unfavorable components. Each component was scored 0 or 1 based on sex-specific median intakes, and scores were summed to develop the overall DI-GM score. In the NHANES, DI-GM scores ranged from 0-13 with a mean of 4.8 (SE = 0.04). Positive associations between DI-GM and urinary enterodiol and enterolactone were observed. The association of the novel DI-GM with markers of gut microbiota diversity demonstrates the potential utility of this index for gut health-related studies.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu16071045</identifier><identifier>PMID: 38613077</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>4-Butyrolactone - analogs & derivatives ; Adult ; adults ; Analysis ; Bacteria ; Biomarkers ; broccoli ; Diet ; diet recall ; Diet, High-Fat ; digestive system ; Disease ; energy ; Female ; fermentation ; Food ; food composition ; Gastrointestinal Microbiome ; Grain ; Green tea ; high fat diet ; Humans ; Intervention ; intestinal microorganisms ; Lignans ; Male ; Meat ; Microbiota ; Microbiota (Symbiotic organisms) ; National Health and Nutrition Examination Survey ; Nutrition research ; Nutrition Surveys ; Observational studies ; red meat ; regression analysis ; Soybean ; soybeans ; Surveys</subject><ispartof>Nutrients, 2024-04, Vol.16 (7), p.1045</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c382t-f83a9db71dbed8ec8902649f711383e4351341062bde9c6f739ae60c7a8e6f0b3</cites><orcidid>0000-0002-3201-9537</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3037573050/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3037573050?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25731,27901,27902,36989,36990,44566,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38613077$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kase, Bezawit E</creatorcontrib><creatorcontrib>Liese, Angela D</creatorcontrib><creatorcontrib>Zhang, Jiajia</creatorcontrib><creatorcontrib>Murphy, Elizabeth Angela</creatorcontrib><creatorcontrib>Zhao, Longgang</creatorcontrib><creatorcontrib>Steck, Susan E</creatorcontrib><title>The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota</title><title>Nutrients</title><addtitle>Nutrients</addtitle><description>The aim of the study was to develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. We conducted a literature review of longitudinal studies on the association of diet with gut microbiota in adult populations and extracted those dietary components with evidence of beneficial or unfavorable effects. Dietary recall data from the National Health and Nutrition Examination Survey (NHANES, 2005-2010,
= 3812) were used to compute the DI-GM, and associations with biomarkers of gut microbiota diversity (urinary enterodiol and enterolactone) were examined using linear regression. From a review of 106 articles, 14 foods or nutrients were identified as components of the DI-GM, including fermented dairy, chickpeas, soybean, whole grains, fiber, cranberries, avocados, broccoli, coffee, and green tea as beneficial components, and red meat, processed meat, refined grains, and high-fat diet (≥40% of energy from fat) as unfavorable components. Each component was scored 0 or 1 based on sex-specific median intakes, and scores were summed to develop the overall DI-GM score. In the NHANES, DI-GM scores ranged from 0-13 with a mean of 4.8 (SE = 0.04). Positive associations between DI-GM and urinary enterodiol and enterolactone were observed. The association of the novel DI-GM with markers of gut microbiota diversity demonstrates the potential utility of this index for gut health-related studies.</description><subject>4-Butyrolactone - analogs & derivatives</subject><subject>Adult</subject><subject>adults</subject><subject>Analysis</subject><subject>Bacteria</subject><subject>Biomarkers</subject><subject>broccoli</subject><subject>Diet</subject><subject>diet recall</subject><subject>Diet, High-Fat</subject><subject>digestive system</subject><subject>Disease</subject><subject>energy</subject><subject>Female</subject><subject>fermentation</subject><subject>Food</subject><subject>food composition</subject><subject>Gastrointestinal Microbiome</subject><subject>Grain</subject><subject>Green tea</subject><subject>high fat diet</subject><subject>Humans</subject><subject>Intervention</subject><subject>intestinal microorganisms</subject><subject>Lignans</subject><subject>Male</subject><subject>Meat</subject><subject>Microbiota</subject><subject>Microbiota (Symbiotic organisms)</subject><subject>National Health and Nutrition Examination Survey</subject><subject>Nutrition research</subject><subject>Nutrition Surveys</subject><subject>Observational studies</subject><subject>red meat</subject><subject>regression analysis</subject><subject>Soybean</subject><subject>soybeans</subject><subject>Surveys</subject><issn>2072-6643</issn><issn>2072-6643</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqFkc9v1TAMxyPExKaxy_4AFIkLQupw6jZpjmMbY9KbdtnOVdo4kKlNHmk6wX9Pnt74IS7YB1vWx3biL2OnAs4QNXwIq5CgBDTtC3ZUg6orKRt8-Vd-yE6W5RF2pkBJfMUOsZMCQakj9nD_lfglPdEUtzOFzE2w_OrJTKvJPgYeHTd84zMlk9dE1UezkOWXnrJJP_hNsPSdu5j49Zr5rR9THHzM5jU7cGZa6OQ5HrOHT1f3F5-rzd31zcX5phqxq3PlOjTaDkrYgWxHY6ehlo12SgjskBpsBTYCZD1Y0qN0CrUhCaMyHUkHAx6zd_u52xS_rbTkfvbLSNNkAsV16VG0KBrd1vr_KGBXFqJuCvr2H_QxrimUj-wo1SqEFgp1tqe-mIl6H1zMyYzFLc1-jIGcL_VzpQHqos6u4f2-oVxpWRK5fpv8XM7YC-h3WvZ_tCzwm-c3rMNM9jf6Szn8Cbtnlj0</recordid><startdate>20240403</startdate><enddate>20240403</enddate><creator>Kase, Bezawit E</creator><creator>Liese, Angela D</creator><creator>Zhang, Jiajia</creator><creator>Murphy, Elizabeth Angela</creator><creator>Zhao, Longgang</creator><creator>Steck, Susan E</creator><general>MDPI AG</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-3201-9537</orcidid></search><sort><creationdate>20240403</creationdate><title>The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota</title><author>Kase, Bezawit E ; Liese, Angela D ; Zhang, Jiajia ; Murphy, Elizabeth Angela ; Zhao, Longgang ; Steck, Susan E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-f83a9db71dbed8ec8902649f711383e4351341062bde9c6f739ae60c7a8e6f0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>4-Butyrolactone - analogs & derivatives</topic><topic>Adult</topic><topic>adults</topic><topic>Analysis</topic><topic>Bacteria</topic><topic>Biomarkers</topic><topic>broccoli</topic><topic>Diet</topic><topic>diet recall</topic><topic>Diet, High-Fat</topic><topic>digestive system</topic><topic>Disease</topic><topic>energy</topic><topic>Female</topic><topic>fermentation</topic><topic>Food</topic><topic>food composition</topic><topic>Gastrointestinal Microbiome</topic><topic>Grain</topic><topic>Green tea</topic><topic>high fat diet</topic><topic>Humans</topic><topic>Intervention</topic><topic>intestinal microorganisms</topic><topic>Lignans</topic><topic>Male</topic><topic>Meat</topic><topic>Microbiota</topic><topic>Microbiota (Symbiotic organisms)</topic><topic>National Health and Nutrition Examination Survey</topic><topic>Nutrition research</topic><topic>Nutrition Surveys</topic><topic>Observational studies</topic><topic>red meat</topic><topic>regression analysis</topic><topic>Soybean</topic><topic>soybeans</topic><topic>Surveys</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kase, Bezawit E</creatorcontrib><creatorcontrib>Liese, Angela D</creatorcontrib><creatorcontrib>Zhang, Jiajia</creatorcontrib><creatorcontrib>Murphy, Elizabeth Angela</creatorcontrib><creatorcontrib>Zhao, Longgang</creatorcontrib><creatorcontrib>Steck, Susan E</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kase, Bezawit E</au><au>Liese, Angela D</au><au>Zhang, Jiajia</au><au>Murphy, Elizabeth Angela</au><au>Zhao, Longgang</au><au>Steck, Susan E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2024-04-03</date><risdate>2024</risdate><volume>16</volume><issue>7</issue><spage>1045</spage><pages>1045-</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>The aim of the study was to develop and evaluate a novel dietary index for gut microbiota (DI-GM) that captures dietary composition related to gut microbiota profiles. We conducted a literature review of longitudinal studies on the association of diet with gut microbiota in adult populations and extracted those dietary components with evidence of beneficial or unfavorable effects. Dietary recall data from the National Health and Nutrition Examination Survey (NHANES, 2005-2010,
= 3812) were used to compute the DI-GM, and associations with biomarkers of gut microbiota diversity (urinary enterodiol and enterolactone) were examined using linear regression. From a review of 106 articles, 14 foods or nutrients were identified as components of the DI-GM, including fermented dairy, chickpeas, soybean, whole grains, fiber, cranberries, avocados, broccoli, coffee, and green tea as beneficial components, and red meat, processed meat, refined grains, and high-fat diet (≥40% of energy from fat) as unfavorable components. Each component was scored 0 or 1 based on sex-specific median intakes, and scores were summed to develop the overall DI-GM score. In the NHANES, DI-GM scores ranged from 0-13 with a mean of 4.8 (SE = 0.04). Positive associations between DI-GM and urinary enterodiol and enterolactone were observed. The association of the novel DI-GM with markers of gut microbiota diversity demonstrates the potential utility of this index for gut health-related studies.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>38613077</pmid><doi>10.3390/nu16071045</doi><orcidid>https://orcid.org/0000-0002-3201-9537</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2072-6643 |
ispartof | Nutrients, 2024-04, Vol.16 (7), p.1045 |
issn | 2072-6643 2072-6643 |
language | eng |
recordid | cdi_proquest_miscellaneous_3153149529 |
source | Publicly Available Content Database; PubMed Central |
subjects | 4-Butyrolactone - analogs & derivatives Adult adults Analysis Bacteria Biomarkers broccoli Diet diet recall Diet, High-Fat digestive system Disease energy Female fermentation Food food composition Gastrointestinal Microbiome Grain Green tea high fat diet Humans Intervention intestinal microorganisms Lignans Male Meat Microbiota Microbiota (Symbiotic organisms) National Health and Nutrition Examination Survey Nutrition research Nutrition Surveys Observational studies red meat regression analysis Soybean soybeans Surveys |
title | The Development and Evaluation of a Literature-Based Dietary Index for Gut Microbiota |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T20%3A08%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Development%20and%20Evaluation%20of%20a%20Literature-Based%20Dietary%20Index%20for%20Gut%20Microbiota&rft.jtitle=Nutrients&rft.au=Kase,%20Bezawit%20E&rft.date=2024-04-03&rft.volume=16&rft.issue=7&rft.spage=1045&rft.pages=1045-&rft.issn=2072-6643&rft.eissn=2072-6643&rft_id=info:doi/10.3390/nu16071045&rft_dat=%3Cgale_proqu%3EA790020450%3C/gale_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c382t-f83a9db71dbed8ec8902649f711383e4351341062bde9c6f739ae60c7a8e6f0b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3037573050&rft_id=info:pmid/38613077&rft_galeid=A790020450&rfr_iscdi=true |